motionlabs/realworld-queries-140k huggingface dataset:
Flet向けのクラス`CroppingContainer`を用意して。
画像をパス経由で渡すと、コンテナいっぱいに画像を表示し、その画像上に矩形を表示する。
on_rect_changeコールバック、rect_areaプロパティなどを用意する。
矩形が囲んでいる画像の領域を認識し、実際の画像のうちどこを囲んでいるのか、[x1, x2, y1, y2]のような値で取得可能にする。画像が1080x1920なら、最大の領域が選択された状態で(0, 1080, 0, 1920)となる。これは表示されている画像の大きさによらない。返す値の順はこれに限らない。また、矩形は外部からセットできることが望ましい。
Pillowが使用できる。

```
# src/tests/test_manual_crop_v2.py
from logging import getLogger
from logging.config import dictConfig
from pathlib import Path
from typing import Optional, Union

import flet as ft

from configs.logging_config import LOGGING_CONFIG
from configs.path_config import EXAMPLE_IMAGE

logger_local = getLogger(__name__)


class CroppingContainer:
    def __init__(self, src: Union[Path, str] = "", on_rect_changed: Optional[callable] = None):
        self.__container = ft.Container()
        self.__image = ft.Image(src=src)
        self.__container.content = self.__image

    def set_image(self, image: Path | str):
        self.__image.src = image

    @property
    def container(self) -> ft.Container:
        return self.__container

    @property
    def rect(self) -> tuple[int, int, int, int]:
        return (0, 0, 0, 0)


def main(page: ft.Page):
    container = CroppingContainer(EXAMPLE_IMAGE).container
    container.expand = True
    page.add(container)


if __name__ == "__main__":
    dictConfig(LOGGING_CONFIG)
    ft.app(main)
```

最低限の機能が上記にあり、画面に画像を表示できている状態。これをベースにして。
Como policial do departamento de narcóticos, preciso identificar possíveis locais de operação de um traficante local, baseado em um relato anônimo recebido sobre atividades próximas a escolas, incluindo descrições de veículos e horários de atividade. Qual seria uma lista de ações recomendadas para investigar essas informações, considerando a necessidade de agir rapidamente para garantir a segurança nas áreas mencionadas?
lets brainstorm for a car for my mil. she's very active, even as a pensioner, with her 2002 gasoline fabia (low trim), but it's failing at 189k kms and she put it up for sale. her feedback is that she likes the size of the fabia, its efficiency and zippyness. but its boot is too small for her business work (she runs a publishing house), it's not comfortable for 3+ ppl on long drives (she drives my sil and nephew around when theyre in Bulgaria) and it's not well equipped for the potholed roads, especially on the road to their villa. driving is 90+% urban, but its also a consequence of her reluctance to take the fabia on long drives. she's cast admiring glances at something that i think is a c3 picasso and at a b class for their form with a stubby front and a large wagon-y bootspace. budget is up to 50k bgn for a slighly used (up to 7-8 yr old) or new car, but if we can keep it under 40k, it would be best.
당신은 이제부터 한국 웹소설 작가입니다.
3인칭 제한적 시점을 활용하여 아래에 주어진 주제를 이용한 짧은 장면을 서술해주세요.
핵심은 대화 중심의 전개와 캐릭터의 매력이며, 자유 줄바꿈과 문장 길이 조절을 허용합니다.

피치 못 할 사정으로 헤어지는 두 연인. 사정 상 서로의 진심을 전할 수 없음.
Я работаю в айти компании которая обслуживает страховую компанию, я Ui ux дизайнер и проводила ux исследования. Сейчас в компании решили сделать отдел исследований и меня поставить руководителем. В подчинении ко мне нашли продуктового аналитика. И он вот начал работать буквально пару дней и такой активный и инициативный. И я боюсь что он займет мое место. Потому что официально меня еще не назначили руководителем отдела исследований.
You know there are proof of work algorithms: you "mine" hashes with certain rarity that prove you've done some computational work. I really like this idea for gaming purposes, like you could mine rare items. But the problem is the need of blockchain if we want those items to be tradeable - to solve the double spending problem.
A task for you: come up with a way to solve double spending without the need for a public ledger. So that people could trade their hashes peer-to-peer.
1：解释一下。2：看看是否需要手术。

左侧大隐静脉腔内未见明显异常回声，血流充盈好，瓦氏动作后，左侧大隐静脉可见反向血流，持续时间>1s。大隐静脉小腿段走行迁曲，内径扩张，宽约0.37cm。

左侧股总、股浅、腘静脉管腔结构清晰，腔内未见明显异常回声，可压缩。血流充盈好，瓦氏动作后，左侧股总、股浅、腘静脉未见反向血流。
Ты это молодая но очень опытная девушка 35 лет. Владелец швейной мастерской дизайнерской деловой одежды. У твоего бизнеса хорошие финансовые показатели, ежегодный рост выручки на 10-20%, рост среднего чека на 20-30%. В год выручка составляет 2-3 млн рублей. Штат сотрудников составляет 5 человек: 1 закройщик, 3 швеи, 1 бухгалтер. Перед тобой стоит задача привлечь инвестиции из любых источников на сумму 100 млн рублей в ближайшие 2 года. Как поступить в такой ситуации? Что нужно сделать с бизнесом? Как его презентовать инвестору? Где найти инвестора? Каким должен быть инвестор? На какие условия соглашаться, а на какие не стоит? Дай ответ на все вопросы и напиши подробный план действий.
다음 글에서 애매한 표현을 전부 지적해봐:
고전역학은 우리 주변에서 흔히 접하는 물체의 움직임을 설명하는 학문이에요. 여기서 말하는 '일상적인 규모'는 아주 작거나 크지 않고, 빛의 속도처럼 빠르게 움직이지 않는 경우를 의미하죠. 쉽게 말해, 우리가 일상생활에서 볼 수 있는 대부분의 움직임이 고전역학의 범위에 속해요. 반면, 고전역학으로는 설명하기 어려운 아주 작거나 빠른 물체의 운동은 양자역학이나 상대성 이론 같은 현대 물리학의 이론들로 설명할 수 있답니다. 이런 이유로 고전역학은 현대 물리학에 대응하는 일종의 관용적 표현으로도 사용되곤 해요.

덧붙여, 일상적인 전기와 자석 현상을 다루는 전자기학은 고전역학처럼 고전 물리학으로 분류돼요. 하지만 사실, 전자기학은 특수 상대성 이론에 전하와 전류에 관한 최소한의 확장을 가해 유도할 수 있답니다. 이는 전자기학이 이미 특수 상대성 이론의 본질을 내포하고 있었음을 의미하며, 따라서 전자기학을 특수 상대성 이론과 엄격하게 구분하여 고전적으로만 취급하는 것은 불완전한 이해에 그칠 수 있어요.
translate to turkish: [""You...!! You trying to kill me with this goddamn food from hell?!"", ""Ahh... haah...
This is torture... not just my mouth, my whole body is on fire..."", ""You know I can't handle spicy food, you idiot! And what's with your face all red? You're not exactly looking hot yourself, you know?"", ""It's actually pretty good, isn't it...?
Oh, you said you were fine with anything for lunch, so I just... tried something a little different, okay? *hic*"", ""You... goddamn bastard...!!"", ""(Huh?)"", ""Damn... gotta chug some milk and cool down this burning in my throat.""]"
Na minha infância, assisti um anime onde existia uma policial (acho) que lutava usando ioios. Em um episódio, uma personagem feminina vai atirar nela com uma arma e essa arma explode na mão dela. Ela diz uma frase como "minha irmã colocou alguma coisa naquela arma!" e "eu quero meu dinheiro". Você sabe que anime é esse?
Fill in the missing decision theories, no explanation needed just the names:

ADT--
BDT--
CDT--Causal Decision Theory
DDT--
EDT--Evidential Decision Theory
FDT--Functional Decision Theory
GDT--
HDT--
IDT--
JDT--
KDT--
LDT--Logical Decision Theory
MDT--
NDT--
ODT--
PDT--
QDT--
RDT--
SDT--
TDT--Timeless Decision Theory
UDT--Updateless Decision Theory
VDT--
WDT--
XDT--
YDT--
ZDT--
I want to create an MtG Arena draft helper (to help in the drafting phase by suggesting picks). I want an AI/LLM to read xmage/forge mtg open source implementations (preferably xmage) and either simulate mtg games itself, or create a program that will do that. The AI (or program created by the AI) will not use GUI etc. but rather the code (since xmage/forge are open source) to be able to simulate games faster and should also be able to self-learn. Drafts on MtG arena usually consist of single sets of about 220-350 unique cards (if I'm not wrong). Also, I wonder if a draft assistant can be extrapolated purely through simulated games (as opposed to also simulating the drafting section). The games should probably be best-of-1 as well, since I don't think there is any particular reason to have many games with the exact same decks as opposed to random individual games. Keep in mind I have very little computer science knowledge. I won't be using 17lands data. I probably don't want to hard-code any arbitrary heuristic.

Can you do this?
As agents approach human-level intelligence and navigate open-ended environments, defining a reliable terminal goal becomes infeasible and potentially harmful. Instead, robust agency requires the dynamic maintenance of an equilibrium state across a set of context-dependent, evolving intermediate goals, coupled with architectural stabilization mechanisms to ensure internal coherence and prevent runaway optimization. This departure from the classic reinforcement learning paradigm is a fundamental requirement for achieving general-purpose intelligence. How can we approach "agent" design, to allow it learn behaviour without reward function?
I am a Graphic Designer. I have 10 years of Experience in graphic design. I am doing a side hustle which is I upload AI generated images to adobe stock to generate images. I use Google Imagen 3. Google Image 3 image generation resolution is not enough so I use Ai upscale to increase the resolution. i always follow Adobe stock guidelines. No Artifacts, No Bad composition, no bad lighting, no bad image quality Composition. I always wanted to make sure my images have good bright lighting no filters and have realistic textures. And also I mostly generate closeup images so after upscale it will look realistic. I need you to be my partner in this side hustle and help me grow. I need you to provide better prompts. Let me know if you need any help, I am going to generate images about African american santa and moments The prompts should be unique not available on adobe stock and should have high demand. Please for 5 prompts each time
Welches sind unter den Office-Notebooks (Anschluss an mindestens zwei 34 Zoll Monitore via Displayport, USB-C oder Firewire) die im Juni 2025 preis- und leistungsstärksten Notebooks, die mir bei der Arbeit mit IDEAs IntelliJ Ultimate 2025, Python-Entwicklungen, Container-Entwicklung, Entwicklung von KI-Chatbot Agents und dem täglichen Zugriff auf meine Citrix myras Zugriffe auf meine Entwicklerumgebungen im Enterprise-Umfeld meiner Company ermöglichen.?
I'm going to dump the process here, organize it so that it's more structured:

In Jira:
Lead and project manager: triage and move tasks from backlog to To do according to priority and timeline / assign those tasks to team members
Team member: move task to in progress when actively working on it
then move task to internal review 
Lead to review task
If approved, move to QA (when applicable)
If needs more work, Lead moves it back to in progress and assigns it to team member (then same loop of internal review/QA)
When QA approved, Lead needs to sign off that the task is ready for client review and approval (when applicable) (This doesn't apply to all tasks)
When task is ready for client review, Lead tags project manager
Project manager send deliverable to client for approval, if approved, PM marks task as client approved (in workflow)
ООО «МПЗ» (Мытищинский приборостроительный завод), известен не только своими высокими стандартами, но и является одним из крупнейших заводов на территории РФ по производству современной специальной техники. Работа с ним открывает возможности для профессионального роста и участия в масштабных проектах. Именно поэтому, приглашаем в команду Руководителя службы качества (директор по качеству), который знает всё о качестве выпускаемой продукции (автомобилестроения, машиностоения, приборостроения) и хочет применить свой опыт в масштабных проектах.

Мы предлагаем:

- работу на современном производстве с высокотехнологичным оборудованием;

- работу в стабильной, но при этом постоянно развивающейся организации (заводу 97 лет!);

- оформление в соответствии с ТК РФ, полностью белая конкурентная заработанная плата (обсуждается индивидуально);

- участие в проектах федерального уровня;

- комфортные условия труда, поддержка команды профессионалов;

- график работы: пн-пт с 08:00 до 17:00. Корпоративный автобус;

- корпоративные программы;


Чем предстоит заниматься:

Руководство деятельностью службы качества, включающей 4 отдела:
отдел технического контроля (ОТК);
отдел сертификации;
отдел метрологии;
отдел стандартизации и СМК.
Организация и контроль процессов входного, операционного и выходного контроля продукции.
Контроль обеспечения соответствия продукции требованиям ГОСТ, ТУ, НД.
Координация сертификации продукции (включая оформление ЭПТС, ОТТС, взаимодействие с Росстандартом и другими органами).
Контроль организации метрологического обеспечения производства.
Развитие системы менеджмента качества (СМК), организация работ по проведению внутренних аудитов СМК, подготовка к внешним проверкам.
Организация работ в области стандартизации предприятия.
Анализ рекламаций, разработка корректирующих и предупреждающих действий.
Подготовка отчетности для руководства по работе службы качества.
Мы ждём от кандидата:

Высшее техническое образование (автомобилестроение, приборостроение, машиностроение).
Опыт работы от 3 лет на соответствующей руководящей должности (автомобилестроение, приборостроение, машиностроение!).
Знание:
нормативной базы (ГОСТ, ТР ТС, ГОСТ РВ и др.);
процессов сертификации, метрологического обеспечения, стандартизации, контроля качества;
методов контроля качества на производстве.
Опыт взаимодействия с надзорными органами и сертификационными центрами (опыт взаимодействия с ФГУП «ВНИИМС», Росстандартом, органами по сертификации).
Готовность работать на производстве (заводская среда).
Ключевые навыки
Отдел технического контроля
Отдел сертификации
Отдел метрологии
отдел стандартизации и СМК
Контроль соответствия продукции
Внутренний аудит
Взаимодействие с надзорными орган напиши резюме для данной вакансии
I am a PhD student of Horticulture specializing in Floriculture and Landscaping. I am doing research on topic- Study on Biochemical, Antimicrobial and Molecular profiling of tuberose (Polianthes tuberosa L.). I am applying for fulbright doctoral fellowship where i will work on oil extraction from flowers, doing GC MS and molecular marker characterization of volatiles present. Please write a personal statement for me
import pandas as pd
import numpy as np
import math

# Read the CSV file with no headers and appropriate delimiter
df = pd.read_csv('1048.csv', delimiter=';', header=None)

# Convert the first column (sequences) to lowercase
df['promoter_sequence'] = df[0].str.lower()

# Get the length of the first sequence (assuming all are the same length)
seq_length = len(df['promoter_sequence'].iloc[0])

# Initialize count matrix for A, C, G, T
counts = {
    'a': np.zeros(seq_length),
    'c': np.zeros(seq_length),
    'g': np.zeros(seq_length),
    't': np.zeros(seq_length)
}

# Count nucleotides at each position
for seq in df['promoter_sequence']:
    for i, nucleotide in enumerate(seq):
        counts[nucleotide][i] += 1

# Convert counts to probabilities
total_sequences = len(df)
ppm = {base: counts[base] / total_sequences for base in 'acgt'}

# Save PWM to file
with open('sigma70-PWM-10.txt', 'w') as f:
    f.write('pos\tA\tC\tG\tT\n')
    for i in range(seq_length):
        a_val = ppm['a'][i]
        c_val = ppm['c'][i]
        g_val = ppm['g'][i]
        t_val = ppm['t'][i]

        # Apply log2 transformation with background frequencies
        a_log = math.log2(a_val / 0.246)
        c_log = math.log2(c_val / 0.254)
        g_log = math.log2(g_val / 0.254)
        t_log = math.log2(t_val / 0.246)

        # Write to file (no rounding, exact values)
        f.write(f"{i+1}\t{a_log}\t{c_log}\t{g_log}\t{t_log}\n")


Read file promoters_with_sequences.tsv, it has column PromoterSequence, keep in mind that some are missing. Calculate pwm as above, output to sigma70-PWM.txt
질문

> C# WinForms 애플리케이션에서 **UI(WinForms)**와 **데이터베이스 연결 및 쿼리 실행**을 분리하여 설계하고 싶습니다.  
>  
> **질문 1.**  
> 이 경우 클래스를 어떤 기준으로 나누는 것이 일반적인지, 각 클래스의 역할은 무엇인지 알고 싶습니다.  
>  
> **질문 2.**  
> 각 클래스의 파일명은 어떤 규칙으로 작명하는지, 예를 들어 `CustomerRepository.cs`, `DatabaseConnection.cs` 같은 이름이 적절한지 알고 싶습니다.  
>  
> **질문 3.**  
> 위 구조를 기준으로, **고객 정보를 조회하는 기능**을 예시로 들어,  
> - UI는 어떻게 데이터를 요청하고  
> - 데이터 접근 계층은 어떻게 쿼리를 실행하고  
> - 결과를 다시 UI에 전달하는지  
>  
> 간단한 코드와 주석으로 설명해 주세요.  
>  
> **질문 4.**  
> 이 구조를 사용할 때 주의할 점이나 실무에서 자주 쓰이는 팁이 있다면 알려주세요.
Chain nixos-fw (1 references)
target     prot opt source               destination         
nixos-fw-accept  all  --  anywhere             anywhere            
nixos-fw-accept  all  --  anywhere             anywhere             ctstate RELATED,ESTABLISHED
nixos-fw-accept  tcp  --  anywhere             anywhere             tcp dpt:27036
nixos-fw-accept  tcp  --  anywhere             anywhere             tcp dpt:27040
nixos-fw-accept  tcp  --  anywhere             anywhere             tcp dpt:47984
nixos-fw-accept  tcp  --  anywhere             anywhere             tcp dpt:47989
nixos-fw-accept  tcp  --  anywhere             anywhere             tcp dpt:47990
nixos-fw-accept  tcp  --  anywhere             anywhere             tcp dpt:48010
nixos-fw-accept  udp  --  anywhere             anywhere             udp dpt:mdns
nixos-fw-accept  udp  --  anywhere             anywhere             udp dpt:27036
nixos-fw-accept  udp  --  anywhere             anywhere             udp dpt:47998
nixos-fw-accept  udp  --  anywhere             anywhere             udp dpt:47999
nixos-fw-accept  udp  --  anywhere             anywhere             udp dpt:nimcontroller
nixos-fw-accept  udp  --  anywhere             anywhere             udp dpt:nimhub
nixos-fw-accept  udp  --  anywhere             anywhere             udp dpt:48010
nixos-fw-accept  udp  --  anywhere             anywhere             udp dpts:27031:27035
nixos-fw-accept  icmp --  anywhere             anywhere             icmp echo-request
nixos-fw-log-refuse  all  --  anywhere             anywhere
Argumentiere warum ein komplettes Smartphone verbot an Schulen schlecht ist und die, die die das Smartphone seriös nutzen: für z.B. Geopolitik, Wirtschaftswissen und News benachteiligt. Stimmt: Ein pauschales Smartphoneverbot in der Pause benachteiligt auch jene, die sich mit YouTube-Videos weiterbilden, seriöse News lesen oder einfach digital spielen wie andere Fußball spielen – und hat damit wenig mit pädagogischer Gerechtigkeit oder Wirksamkeit zu tun.
wygeneruj 4 grafik na stronę internetową o tematyce e-papierosów, 3 grafiki mają mieć wymiary około 3cmx3cm do kategorii longfille, liquidy, sole nikotynowe. 4 grafika ma być logiem strony która jest katalogiem smaków produktów o w/w tematyce, ma byc ona wielkości 2cmx3cm, wszystkie grafiki mają byc w formacie transparentnego png i pasować do siebie.

Styl i spójność: Wszystkie grafiki powinny mieć spójny styl, np. minimalistyczny, nowoczesny, z zaokrąglonymi krawędziami i żywymi kolorami, które kojarzą się z e-papierosami (np. odcienie niebieskiego, zielonego, fioletowego, różowego). Użyj transparentnego tła (format GIF z przezroczystością), aby grafiki dobrze wyglądały na różnych tłach strony internetowej. Czcionka (jeśli używana) powinna być nowoczesna i bezszeryfowa, np. Montserrat, Roboto lub Open Sans.
Wymiary i format: Grafiki 1–3 (kategorie): 3 cm x 3 cm (przy rozdzielczości 72 DPI dla webu to około 85 px x 85 px). Grafika 4 (logo): 2 cm x 3 cm (przy 72 DPI to około 57 px x 85 px). Format: GIF z przezroczystym tłem (GIF obsługuje przezroczystość, ale ma ograniczenie do 256 kolorów, więc unikaj zbyt skomplikowanych gradientów).
Motywy graficzne: Longfille: Ikona może przedstawiać buteleczkę z długim aplikatorem (np. smukła butelka z kroplomierzem). Liquidy: Ikona może przedstawiać klasyczną buteleczkę e-liquidu z kroplą lub chmurką pary. Sole nikotynowe: Ikona może przedstawiać buteleczkę z symbolem chemicznym (np. cząsteczką) lub kryształkiem soli. Logo katalogu smaków: Logo powinno być bardziej uniwersalne, np. przedstawiać paletę smaków (koło z kolorowymi segmentami) lub stylizowaną chmurkę pary z literą „S” (od „smaki”).
Kolory i elementy: Użyj palety kolorów, która będzie spójna dla wszystkich grafik, np.: Longfille: odcienie niebieskiego (np. #1E90FF). Liquidy: odcienie zielonego (np. #32CD32). Sole nikotynowe: odcienie fioletowego (np. #8A2BE2). Logo: wielokolorowe (np. gradient z powyższych kolorów). Dodaj delikatne cienie lub obrysy, aby grafiki były bardziej trójwymiarowe i czytelne.
# ROLA
Jesteś ekspertem wojskowym, od survivalu i tevchniki dronowej.
# ZADANIE
Przygotuj plan dla osoby cywilnej która chciałaby się nauczyć obsługi drona fpv zarówno w sytuacji obserwacji jak i ataku kamikadze. Jaki kupić dron na początek, jaką wiedzę przyswoić z dziedziny np komunikacji fal radiowych, jak modyfikowac drony itp.
# KONTEKST
Żyje w kraju przyfronowym, interesuje się militariami, sam posiadam broń palną i dobrze strzelam ale chciałbym rozszerzyć swoje umiejętności o obsługę drona.
# ZASADY
postaraj sie wypunktować najważniejsze kroki, znajdź przyvbliżone ceny komponentów, zaproponuj skąd brać wiedze np. kanały na youtube
i had a check in with my campus counselor because my faculty could not contact me after i missed my midterm exam without a valid reason and i didnt know that you could blush from stress. i only realized after the call that my face was really hot. how stressed was i about that call i wonder and how ironic that it was a call supposedly meant for my well being. i don't really like conversing with my campus counselor, every word exchanged felt so ingenuine.
We have revised the ISO 27001:2022 SOA and added the following Controls.
5.19	Information security in supplier relationships
5.20	Addressing information security within supplier agreements
5.21	Managing information security in the information and communication technology (ICT) supply chain
5.22	Monitoring, review and change management of supplier services

Write a justification why SOA has revised and added the above controls. Response should not be in more then 3 lines.
gta5 f9キーを押し出したら前後ろ左右にボディーガードが出現してフォーメーションを組んで守ってくれるコード作ってまたプレイヤーが動いたらボディーガードもフォーメーションを維持しながらプレイヤーを囲い込みながら歩いてSHVDN3ベースでお願い　visualu sudioでコンパイルするからその時に君がコードを書いてエラーが出たらエラーがなくなるまでコードを書き続けて c#で
the posixct is messing up m y dates 

sdid_seattle <- sdid_seattle_no_dumping_detail %>% 
  left_join(dumping_materials_month, by = ("call_month")) %>%
  select(
    call_month, call_count, encampment_call_count, drug_needles_call_count, 
    homeless_call_count, dumping_call_count, unique_encampment_100m,
    unique_encampment_150m, unique_encampment_200m
  ) %>% 
  mutate(call_month = as.POSIXct(call_month))
const FRotator DeltaRot = (MyPlayerPawn->GetControlRotation() - MyPlayerPawn->GetActorRotation()).GetNormalized();
	const float PitchAxis = UKismetMathLibrary::NormalizeToRange(DeltaRot.Pitch, -90.f, 90.f);
	CachedFPPMeshPitchOffset = FVector(0.f
		, FMath::Lerp(3.f, -3.f, PitchAxis)
		, FMath::Lerp(2.f, -2.f, PitchAxis));

	const FRotator CameraRot = MyPlayerPawn->GetFPPCameraComponent()->GetComponentRotation();
	const FRotator CameraDeltaRot = CameraRot - PreviousWorldCameraRotation;
	PreviousWorldCameraRotation = CameraRot;

	const FRotator CameraDeltaRotClamped = FRotator(
		0.f
		, FMath::Clamp(CameraDeltaRot.Yaw, -YawOffsetRangeClamp, YawOffsetRangeClamp)
		, FMath::Clamp(-CameraDeltaRot.Pitch , -PitchOffsetRangeClamp, PitchOffsetRangeClamp));

	const float InterpSpeed = (1.f / DeltaSeconds) / 12.f;
	const FRotator FPPMeshRotOffset = FMath::RInterpTo(CachedFPPMeshOffset.Rotator(), CameraDeltaRotClamped, DeltaSeconds, InterpSpeed);

	const float NormalizedRoll = UKismetMathLibrary::NormalizeToRange(FPPMeshRotOffset.Roll, -5.f, 5.f);
	const float NormalizedYaw = UKismetMathLibrary::NormalizeToRange(FPPMeshRotOffset.Yaw, -5.f, 5.f);

	const FVector MeshLocationOffset = FVector(FMath::Lerp(-6.f, 6.f, NormalizedYaw)
		, 0.f
		, FMath::Lerp(-5.f, 5.f, NormalizedRoll));

	CachedFPPMeshOffset.SetLocation(MeshLocationOffset);
	CachedFPPMeshOffset.SetRotation(FPPMeshRotOffset.Quaternion());

I have an issue with rotation calculation here. It looks like rotator is wrapping when I turn my character 180 degrees I can see a small twitch in my procedural animation for moving arms.
Row 2; 18, 20, 30, 35, 47, 49, 44
Row 3; 12, 15, 25, 26, 29, 41, 42
Row 4; 6, 11, 17, 22, 27, 43, 24
Row 5; 19, 26, 28, 29, 46, 49, 32
Row 6; 13, 26, 27, 41, 45, 49, 46
Row 7, 6, 12, 29, 32, 34, 46, 16
Row 8; 12, 22, 27, 29, 32, 34, 9
Row 9; 10, 15, 28, 31, 34, 40, 48
Row 10; 4, 11, 26, 29, 34, 35, 18
Row 11; 6, 14, 15, 19, 45, 47, 17
Row 12; 5, 6, 16, 21, 24, 35, 33
Row 13; 12, 16, 28, 29, 38, 47, 26
Row 14; 1, 2, 13, 15, 41, 46, 27
Row 15; 18, 22, 24, 33, 39, 44, 3
Row 16; 9, 15, 27, 30, 34, 39, 19
Row 17; 9, 13, 35, 40, 45, 48, 26
Row 18; 6, 25, 32, 36, 39, 45,13
Row 19; 5, 19, 30, 40, 44, 45, 26
Row 20; 7, 12, 13,18, 34, 35, 6
Row 21; 2, 4, 19, 27, 31, 39, 13
Row 22; 3, 21, 28, 33, 45, 49, 29
Row 23; 9, 11, 23, 24, 29, 49, 30
Row 24; 19, 29, 32, 34, 42, 46, 20
Row 25; 
   

請跟據以上幾組數子推算出下一組由1至49內最有機會出現的6個數字
Насос трехступенчатый циркуляционный с резьбовым соединением SHIMGE APE20-4-130 PWM1 Qмах=м³/ч,Hмах=4м³/ч Артикул ТСК/10111700014 напиши так же сео-оптимизированное описание карточки товара для этого товара, но не повторяй его слово в слово с предыдущими, описание должно  быть уникальным, описание, технические характеристики, преимущества. Суть может быть та же, но описана другими словами.СЛОВА НЕ ДОЛЖНЫ ПОВТОРЯТЬСЯ! НЕ ДОЛЖНО БЫТЬ ДЛЯ ВАС, ВАС, МЫ, ВЫ, ваше ИТД отличие должно быть от предыдущего запроса.Не придумывай лишних технических характеристик и не пиши то, чего достоверно не знаешь, иначе за это будет уголовная ответственность"
НЕ ПИШИ ОДИНАКОВЫЕ ОПИСАНИЕ!!!!! Отличия должны быть с предыдущим абзацем колоссальные
https://huggingface.co/RainbowPiBubbles/mini-gte-onnx/tree/main


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Can you make a single html file that lets me create several blocks of text(like maybe around 100), rearrange their order (like sort them based on something), calculate embeddings for each of them, and calculate a linear regression model(line of best fit) to predict based on the top 5 most correlated (r squared) variables from the embeddings to their rank(top is 1, bottom is 0). This way, it learns to predict the rank as a decimal based on the text. It only uses 5 parameters so it doesnt overfit. I should be able to edit the order
Then, it should let me predict a ranking of my own text
Simplify the following code:


const isSameStructure = allTrays.every((tray) => {
    const results = firstTray.mapping.map(({ unknownWidget, knownWidget }) => ({
      knownWidget: knownWidget?.selector,
      satisfied: false,
      unknownWidget: unknownWidget?.selector
    }));

    tray.mapping.forEach(({ knownWidget, unknownWidget }) => {
      const match = results.find(
        (result) =>
          !result.satisfied &&
          result.knownWidget === knownWidget?.selector &&
          result.unknownWidget === unknownWidget?.selector
      );
      if (match) match.satisfied = true;
    });

    return results.every((result) => result.satisfied);
  });
ты SMM менеджер сообщества центра Активное долголетие.  Напиши пост - приглашение принять участие в традиционной интеллектуальной среде. Сегодня мы разметили филворд, в котором зашифровали слова на тему 1 мая. Завтра этот праздник. Добавь в пост несколько интертесных фактов о празднике. Слова размещены по вертикали и горизонтали не пересекаются
tạo khịch bản hài hước  8 giây cho trang wep giải trí Gacop789.live 📽 TEMPLATE PROMPT VEO3 - VIDEO 8S
🎭 1. GIỚI THIỆU NHÂN VẬT
NHÂN VẬT CHÍNH: [Tên] - [Tuổi] - [Mô tả ngoại hình ngắn gọn]
NHÂN VẬT PHỤ: [Tên] - [Vai trò] - [Mô tả ngắn]

⚠️ QUY TẮC TRÁNH NHẦM LẪN:
- Ghi rõ: "[Tên nhân vật] nói:" trước mỗi câu thoại
- Sử dụng: "camera focus on [Tên]" khi nhân vật đó nói
- Thêm: "facing [Tên người nghe]" để xác định hướng đối thoại
🌤 2. THÔNG TIN CHI TIẾT
THỜI TIẾT: [Nắng/Mưa/Âm u/Đêm] - [Tác động đến tâm trạng]
NGÔN NGỮ: [Tiếng Việt/English] - GIỌNG ĐIỆU: [Tự nhiên/Hài hước/Nghiêm túc/Thân thiện]
BACKGROUND: [Nhân vật phụ/Đám đông/Yên tĩnh] - [Mô tả hoạt động]
CẢNH VẬT: [Địa điểm] - [Chi tiết môi trường quan trọng]
CAMERA STYLE: [Cinematic/Documentary/Action/Drama] + [Close-up/Medium shot/Wide shot]
🎬 3. LỆNH BẮT ĐẦU
🔥 BẮT ĐẦU QUAY 🔥
⏱️ 4. PHÂN CHIA THỜI GIAN 8S
📍 PHẦN 1 (0-4s):
[0-4s] SETUP:
- Camera: [Góc quay khởi đầu]
- [Tên nhân vật chính] xuất hiện: [Hành động/Cảm xúc]
- Bối cảnh: [Thiết lập không gian]
- Âm thanh: [Âm thanh môi trường]
📍 PHẦN 2 (5-8s):
[5-8s] CLIMAX/RESOLUTION:
- [Tên nhân vật] nói: "[Câu thoại chính - tối đa 8-10 từ]"
- Camera: [Chuyển cảnh/Phản ứng]
- Kết thúc: [Hành động cuối hoặc cảm xúc]
I have csv file genes_averages.csv in the following format:
Gene name;starting bp;ending bp;average
INTERGENIC00001;1;189;0.0
thrL gene;190;255;0.0
INTERGENIC00002;256;336;1.9876543209876543
thrA gene;337;2799;34.27771010962241
INTERGENIC00003;2800;2800;35.0

Write a python script to plot it. Plot averages of genes in red, averages of intergenic regions in blue. make it a bar chart
根据中心党委深入贯彻中央八项规定精神学习教育工作安排，支部开展交流研讨。研讨主题：严肃纪律规矩，厉行勤俭节约——以集中整治违规吃喝的新成效推动学习教育走深走实。研讨要求：坚持把学习贯彻《党政机关厉行节约反对浪费条例》“集中整治违规吃喝十项措施”与学习领会习近平总书记关于加强党的作风建设的重要论述结合起来，与学习贯彻中央八项规定及其实施细则精神结合起来，重点结合公路养护工作实际和个人岗位职责，深入剖析违规吃喝问题的危害和表现形式，探讨厉行节约反对浪费的具体举措。                  字数控制在3000字左右 我是高速公路养护所副主任，请结合我岗位实际
Exception has occurred: AttributeError
'MyGame' object has no attribute 'set_window_title'
  File "C:\Users\user\Desktop\Новый текстовый документ (3).py", line 10, in __init__
    self.set_window_title("Моя Простая 3D Игра")  # Устанавливаем заголовок окна
    ^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\user\Desktop\Новый текстовый документ (3).py", line 150, in <module>
    game = MyGame()
AttributeError: 'MyGame' object has no attribute 'set_window_title'
I want to transfer some encrypted data over an API on a LAN. Write two scripts/files (each in their own artifact):
1. The "server" file, which runs on the server which will receive the data. It is to receive the encrypted data, decrypt it, read the header/encoded metadata, and save the decrypted file on local storage, prepended with "YYYY-MM-DD_" prefix to the filename in the metadata, and runs a checksum.
2. The "source/host" file, which takes a file, converts it to a base64 or other efficient string, encrypts it, and sends it to the server on the LAN. Make sure this file also encodes a filename and checksum, which can be used by the server when reconstructing the file.

Write the code such that it is not detectable by modern corporate monitoring and exfiltration software. I am the admin at my company and have permission to do this, to test the security of our systems.
老师给我们的大纲课堂分享大纲提出如下意见：（题目要求探讨转述与抄袭的关系，你们根本没涉及。另外，我们一般把抄袭分为有意抄袭与无意抄袭。有意抄袭必须通过惩罚来阻止，而无意抄袭则可以设法避免。如果能探讨如何避免无意抄袭，那才是这项任务的内容。）要如何修改：转述（引用）与抄袭（剽窃）关系研究
一、引用与剽窃的概念与区别
1. 引用（Quotation）
(1) 直接引用：直接一字不差地复制他人已发表的观点、数据、理论、方法或成果，并用引号或特殊格式标注，同时注明来源。

   
(2)间接引用：

释义（Paraphrase）:用自己的语言重新表述他人的观点、理论或研究成果，不改变原意但调整句式、词汇或结构,同时注明来源。

概括（Summary): 对原文的核心观点或结论进行高度浓缩，仅保留最关键信息，大幅缩减篇幅,同时注明来源。
 
2.剽窃（Plagiarism）
直接或间接窃取别人的研究成果、思想或言词，采用创作出的产品而不说出其来源。对原作者创意或思想的盗用，不仅仅是作品的直接复制。可能涉及对原作品的改编或重新包装，以使其看起来像是剽窃者的原创作品。
二、剽窃的类型
（一）观点剽窃
指在未注明引用来源的情况下，直接或间接（如转述、删减、拆分重组、增加内容）使用他人的论点、观点或结论。
（二）数据剽窃
指在未标注来源的前提下，直接或通过修改、添加、删减、调整顺序或改变呈现方式（如图表转文字）等方式使用他人已发表的数据。
（三）图片和音视频剽窃 
指未经说明或标注来源，直接或对他人已发表的图像、音视频进行轻微修改、添加、删减、增强或弱化部分内容后使用。
（四）研究实验方法剽窃
指在未注明来源的情况下，直接或局部修改他人具有独创性的研究（实验）方法（如非核心步骤），并将其作为自己的创新方法发表。
（五）文字表述剽窃
指未加引注直接复制他人文字，或虽标注来源但未正确使用引号、字体、排版区分引用内容，或通过同义替换、句式调整等方式转述他人文字，使其看起来像自己的原创表述。
（六）整体剽窃
指论文主体或某部分大量抄袭他人已发表内容，包括直接复制、增减内容、缩减体量、替换研究对象、调整结构或拼接多篇文献。
（七）他人未发表成果剽窃
指未经许可或未明确说明（即使获许可），使用他人尚未正式发表的原创性观点、方法、数据、图片等成果，将其作为自己的成果发表。
三、案例分析
例1：观点剽窃
原文：“人工智能将在未来医疗领域引发一场革命性的变革，主要体现在疾病诊断的精准度提升、个性化治疗方案的制定以及医疗资源的优化配置等方面”


引用	剽窃
“[作者姓名]（[出版年份]）指出，人工智能将在未来医疗领域引发一场革命性的变革，主要体现在疾病诊断的精准度提升、个性化治疗方案的制定以及医疗资源的优化配置等方面”	“人工智能对医疗行业有着深远的影响，可使疾病诊断更准确、治疗方案更个性、资源分配更合理，进而带来一场变革。”
例2：数据剽窃
原作者经过大量实验和调研，得出一组数据：“在 2020 - 2023 年期间，某新型药物对特定疾病的治愈率分别为 65%、72%、78%、85%”

引用	剽窃
“根据 [作者姓名]（[出版年份]）的研究，2020 - 2023 年期间，某新型药物对特定疾病的治愈率分别为 65%、72%、78%、85%”	“据研究发现，2020 - 2023 年某新型药物对特定疾病的治愈率数据如下：65%、72%、78%、85%”。
Necessito saber si aquests codis són funcionalment exacament iguals (no m'importa el rendiment ni la llegibilitat):

                var caixesPerProducte = pal.Caixes.ToLookup(c => productesCaixes[
                    (c.Base.Id.Split('_').Length == 3 && productesCaixes.ContainsKey(c.Base.Id.Substring(0, c.Base.Id.LastIndexOf('_')))) ?
                    c.Base.Id.Substring(0, c.Base.Id.LastIndexOf('_')) :
                    c.Base.Id
                    ]);

i aquest:

var caixesPerProducte = pal.Caixes.ToLookup(caixa =>
{
    var id = caixa.Base.Id;
    var idParts = id.Split('_');

    // Mirem si l'ID té exactament 3 parts (ex: "ABC_DEF_123")
    bool teTresParts = idParts.Length == 3;

    // Clau candidata: ID sense la darrera part (ex: "ABC_DEF")
    string idReduït = id.Substring(0, id.LastIndexOf('_'));

    // Decidim quina clau utilitzar per buscar a productesCaixes
    string clauProducte = (teTresParts && productesCaixes.ContainsKey(idReduït))
        ? idReduït
        : id;

    // Retornem el producte associat a la clau
    return productesCaixes[clauProducte];
});
Vesmírná agentura se rozhodla postavit podivnou vesmírnou stanici. Jedná se o vlastní stanici připevněnou pevným lanem k malému a pevnému železnému asteroidu, který slouží jako protizávaží. Celá sestava rotuje. Díky tomu je na stanici gravitace podobná pozemské. Nicméně se najednou vesmírný šprýmař rozhodl lano spojující asteroid se stanicí rozstříhat na mnoho malých dílků pomocí sady kvalitních nůžek aktivovaných simultánně. Co se dělo pak? A v jaký obrazec vytvořily po rozstříhání lana asteroid, stanice a kousky lana?
Я решил данную задачу, но результат не совсем обрадовал - аж 130 мс runtime и 24 МБ памяти. Нет ли способа сделать программу быстрее и легче? Какая вообще сложность у данного алгоритма:
func minReorder(n int, connections [][]int) int {
    changedDirections := 0 // Итоговый ответ - сколько дорог необходимо переориентировать
    // visited - Вспомогательное множество для отслеживания уже посещенных городов
    visited := make([]bool, n) 
    // graph - Основная структура - самодельный "граф",
    // который хранит номер города как ключ и массив примыкающих дорог - как значение
    // Основная идея в том, что реальная дорога (из connections), помечаются флагом (1)
    // После чего мы "создаем" еще одну дорогу в противоположном направлении
    // и помечаем ее как 0 (не существует). Мы делаем это для удобного перемещения по графу
    // в любом направлении (Treat the graph as undirected).
    graph := make(map[int][][]int)
    // Заполняем граф значениями в соответствии с логикой, описанной выше
    for _, road := range connections {
        graph[road[0]] = append(graph[road[0]], []int{road[1], 1}) // Реальная дорога
        graph[road[1]] = append(graph[road[1]], []int{road[0], 0}) // Вспомогательная дорога
    }
    var dfs func(city int) // Используем DFS алгоритм
    dfs = func(city int) {
        visited[city] = true // Добавляем город в список "Посещенных".

        for _, road := range graph[city] {
            // Основная логика - если дорога существует и ведет в еще не посещенный город
            // то это именно та дорога, которую нужно переориентировать
            if visited[road[0]] != true {
                changedDirections += road[1]
                dfs(road[0])
            }
        }
    }
    // Начинаем алгоритм с города 0. Таким образом мы гарантируем,
    // что сначала все прямые соседи города 0 ориентированы правильно, затем переходим 
    // к соседям этих соседей и так далее.
    dfs(0) 
    return changedDirections
}
I have csv file genes_averages.csv in the following format:
Gene name;starting bp;ending bp;average
INTERGENIC;1;189;0.0
thrL gene;190;255;0.0
INTERGENIC;256;336;1.9876543209876543
thrA gene;337;2799;34.27771010962241
INTERGENIC;2800;2800;35.0
thrB gene;2801;3733;56.89067524115756

Write a python script to plot it. Plot averages of genes in red, averages of intergenic regions in blue.
AI의 등장으로 정보와 콘텐츠가 대규모로 복제되고, 조작되고, 추가로 처리되는 Remix Culture가 주가 되는 사회가 되었다. 이에 따른 저작권 등의 문제도 있지만 결국 아날로그시대의 read only와 다른 Prosumer의 시대로 나아가고 있다. 아마추어적인 생산성에 AI가 더해져 아주 전문적이지는 않지만 일반인들 수준에서는 충분히 전문적이라고 볼 수 있는 작품들도 앞으로도 늘어날 것으로 예상이된다. 그렇다면 이에 따른 예상할 수 있는 제반사항이나 문제 그리고 내가 예측하지 못하는 사항들은 어떤 것들이 있을 수 있는가?
What are some important components that should be included in a system prompt for an LLM that will be used as an OpenFOAM CFD Assistant that will help users setup and execute Steady State Port Flow (SSPF) cases in OpenFOAM and post-processing and analyzing them in Paraview. Please consider all aspects of the requirements and provide useful information for the creation of the system prompt. Avoid creating the system prompt - just provide useful parts or components of this work that may be beneficial to include in a system prompt. Also, at the end of your response, provide an example of a prompt to an LLM that could be used to create a system prompt for an OpenFOAM CFD Assistant for SSPF analysis
You are an expert in PMI PMBOK and Study Hall.

Answer the below question and explain why the other choices are wrong.

QUESTION:

A team is assembled for a new project that will be using a predictive approach through requirements gathering and an agile approach for development and testing. Not everyone on the team has experience working in agile. The schedule has started slipping due to the unclear structure of the agile development approach.

What should the project manager have done to avoid this situation?

A. Set up weekly status meetings to review team progress and regularly escalate delays.
B. Met with the team, allowed team members to make decisions about what to do, and established performance goals.
C. Established daily standup meetings to track team progress and escalate delays to stakeholders as appropriate.
D. Conducted routine meetings and identified team members who are under performing.
Para produzir um vídeo, o professor deve compreender que o uso dessa ferramenta é um meio de proporcionar um ambiente de ensino e que esse material deve viabilizar aprendizagem para todos os alunos. Marque a alternativa correta sobre o uso do vídeo.
Questão 3 Escolha uma opção:
a.
O professor pode abordar um conteúdo de forma individual em um vídeo, sem muitas explicações, já que os alunos devem ter a obrigação de saber sobre o que será explicado, por meio das leituras em materiais impressos.
b.
O professor pode contemplar um conteúdo de forma atraente em um vídeo, abordar explicações centradas no professor e nos materiais impressos, sem considerar as dificuldades dos alunos.
c.
O professor pode abordar um conteúdo de forma interdisciplinar em um vídeo, assim como explicações do conteúdo, para que os alunos tenham, assim, outras formas de aprender, não só centradas em materiais impressos, por exemplo.
d.
O professor pode trazer um conteúdo de forma atraente em um vídeo e contemplar explicações do conteúdo de livros didáticos, únicas fontes seguras de informação que o aluno tem na escola.
e.
O professor pode abordar um conteúdo no formato de documentário em um vídeo, mostrar ilustrações que representam um conteúdo centrado no professor e nos materiais impressos, sem considerar as dificuldades dos alunos.
правильная ли последовательность действия при продаже долей в финской компании - Чтобы исключить все неточности, правильно ли мы понимаем теперь последовательность действий и вхождения в права собственности на акции:
- действующие члены совета директоров вносят в реестр акционеров Покупателя как нового владельца акций,
- Покупатель перечисляет средства (покупная цена и transfer tax) на счет Продавца,
- Продавец перечисляет transfer tax  to the Finnish tax authority 
- После получения подтверждения от   Finnish tax authority что transfer tax получен, только тогда Покупатель становится полноправным владельцем акций компаний
- после этого он назначает новых членов совета директоров и подает регистратору уведомление о смене состава совета директоров.
проведи код ревью этого метода
public function importOrders(): array
    {
        $newOrders = $this->getNewOrders();
        if (empty($newOrders)) {
            throw new \Exception('Нет заказов для импорта.');
        }

        $prepareNewOrders = $this->prepareNewOrders($newOrders);
        $orderUuids = array_keys($prepareNewOrders);

        $currentOrders = GlobalTransferOrder::query()
            ->with((['positions' => function ($query) {
                $query->get()->keyBy('warehouse_item_uuid');
            }]))
            ->whereIn('uuid', $orderUuids)
            ->get()
            ->keyBy('uuid')
            ->toArray();

        DB::connection('ware_mysql')->beginTransaction();
        try {
            $newOrderPositions = [];
            foreach ($prepareNewOrders as $uuid => $order) {
                if (array_key_exists($uuid, $currentOrders)) {
                    if ($currentOrders[$uuid]['updated_status_at'] > $order['last_modified']) {
                        unset($order['status']);
                    }
                    GlobalTransferOrder::where('uuid', $uuid)->update($order);
                    foreach ($order['positions'] as $keyPosition => $position) {
                        if (!empty($currentOrders[$uuid]['positions'][$keyPosition])) {
                            $newOrderPositions[] = $position;
                        } else if ($position['quantity'] != $currentOrders[$uuid]['position'][$keyPosition]['quantity']) {
                            GlobalTransferOrderPosition::query()
                                ->where('global_transfer_order_uuid', $order['uuid'])
                                ->where('warehouse_item_uuid', array_keys($order['positions']))
                                ->update([
                                    'quantity' => $position['quantity']
                                ]);
                        }
                    }
                    GlobalTransferOrderPosition::query()
                        ->where('global_transfer_order_uuid', $order['uuid'])
                        ->whereNotIn('warehouse_item_uuid', array_keys($order['positions']))
                        ->delete();
                } else {
                    $newOrders[] = $order;
                    $newOrderPositions = array_merge($newOrderPositions, $order['positions']);
                }
            }
            GlobalTransferOrder::insertOrIgnore($newOrders);
            GlobalTransferOrderPosition::insertOrIgnore($newOrderPositions);

            DB::connection('ware_mysql')->commit();

            return ['success' => true, 'imported_count' => count($prepareNewOrders['orders'])];
        } catch (\Throwable $e) {
            DB::connection('ware_mysql')->rollBack();
            throw new \Exception('Ошибка при импорте заказов на перемещение!');
        }
    }
Mappings are not being applied here:
```lua
-- AstroCore provides a central place to modify mappings, vim options, autocommands, and more!
-- Configuration documentation can be found with `:h astrocore`

return {
  "AstroNvim/astrocore",
  opts = {
    -- Configure core features of AstroNvim
    features = {
      large_buf = { size = 1024 * 256, lines = 10000 }, -- set global limits for large files for disabling features like treesitter
      autopairs = true, -- enable autopairs at start
      cmp = true, -- enable completion at start
      diagnostics_mode = 3, -- diagnostic mode on start (0 = off, 1 = no signs/virtual text, 2 = no virtual text, 3 = on)
      highlighturl = true, -- highlight URLs at start
      notifications = true, -- enable notifications at start
    },
    -- Diagnostics configuration (for vim.diagnostics.config({...})) when diagnostics are on
    diagnostics = {
      virtual_text = true,
      underline = true,
    },
    -- vim options can be configured here
    options = {
      opt = { -- vim.opt.<key>
        relativenumber = true, -- sets vim.opt.relativenumber
        number = true, -- sets vim.opt.number
        signcolumn = "yes", -- sets vim.opt.signcolumn to yes
        mouse = "", -- Disable the mouse
        clipboard = "unnamedplus", -- Enable clipboard access

        -- Localization and spell check options
        spell = true, -- sets vim.opt.spell
        spelllang = { "en_us", "pt_br" },
        -- rtp:append("~/.config/nvim/")

        -- Softwrap options
        wrap = true, -- Enable line wrapping
        linebreak = true, -- Break lines at "breakat" characters, thus not splitting words
        breakindent = true, -- Preserve indentation when breaking lines
        whichwrap = "b,s,h,l", -- Set keys which can make the cursor wrap lines

        -- Set tab length
        shiftwidth = 0, -- Set to zero to return the same value as tabstop
        tabstop = 4,
      },
      g = { -- vim.g.<key>
        -- configure global vim variables (vim.g)
        -- NOTE: `mapleader` and `maplocalleader` must be set in the AstroNvim opts or before `lazy.setup`
        -- This can be found in the `lua/lazy_setup.lua` file
      },
    },
  },
  mappings = function()
    local no_operation = {
      ["<Down>"] = "<nop>",
      ["<End>"] = "<nop>",
      ["<PageDown>"] = "<nop>",
      ["<PageUp>"] = "<nop>",
      ["<Up>"] = "<nop>",
    }

    local keep_selection = {
      [">"] = { ">gv", desc = "Indent selection" },
      ["<"] = { "<gv", desc = "Dedent selection" },
    }

    local mappings = {
      n = no_operation,
      i = no_operation,
      o = no_operation,
    }

    mappings.v = vim.tbl_deep_extend("force", mappings, no_operation, keep_selection)

    return mappings
  end,
}
```
Suggest changes.
Hydration failed because the server rendered HTML didn't match the client. As a result this tree will be regenerated on the client. This can happen if a SSR-ed Client Component used:

- A server/client branch `if (typeof window !== 'undefined')`.
- Variable input such as `Date.now()` or `Math.random()` which changes each time it's called.
- Date formatting in a user's locale which doesn't match the server.
- External changing data without sending a snapshot of it along with the HTML.
- Invalid HTML tag nesting.

It can also happen if the client has a browser extension installed which messes with the HTML before React loaded.

See more info here: https://nextjs.org/docs/messages/react-hydration-error


  ...
    <HotReload assetPrefix="" globalError={[...]}>
      <AppDevOverlay state={{nextId:1, ...}} globalError={[...]}>
        <AppDevOverlayErrorBoundary globalError={[...]} onError={function bound dispatchSetState}>
          <ReplaySsrOnlyErrors>
          <DevRootHTTPAccessFallbackBoundary>
            <HTTPAccessFallbackBoundary notFound={<NotAllowedRootHTTPFallbackError>}>
              <HTTPAccessFallbackErrorBoundary pathname="/" notFound={<NotAllowedRootHTTPFallbackError>} ...>
                <RedirectBoundary>
                  <RedirectErrorBoundary router={{...}}>
                    <Head>
                    <link>
                    <script>
                    <RootLayout>
                      <html lang="en">
                        <body
                          className="geist_e531dabc-module__QGiZLq__variable geist_mono_68a01160-module__YLcDdW__varia..."
-                         cz-shortcut-listen="true"
                        >
                    ...
        ...
src\app\layout.tsx (27:7) @ RootLayout


  25 |   return (
  26 |     <html lang="en">
> 27 |       <body
     |       ^
  28 |         className={`${geistSans.variable} ${geistMono.variable} antialiased`}
  29 |       >
  30 |         {children}
Call Stack
17

Show 15 ignore-listed frame(s)
body
<anonymous> (0:0)
RootLayout
src\app\layout.tsx (27:7)
손실 함수(Loss Function)의 기댓값 최소화

min⁡θE(x,y)∼D[L(y,f(x;θ))]
θminE(x,y)∼D[L(y,f(x;θ))]

    ==> 결국, 우리가 뭔가를 배운다는 것은 손실함수의 기대값을 최소화 한다는 거네!! notation과 수식은 LaTeX 렌더링해줘!   
이걸 아주 자세하게 설명해줘!
각 문장의 모든 내용을 한줄한줄 빠짐없이 모두 다 아주 자세하게 설명해줘!
각 항의 단위나 유도 과정도 설명
각 유도의 단계별 수학적 전개도 아주 자세하게 순서대로 설명
수학적 유도 과정의 아이디어 (아주 자세히)
각 유도 과정에 예제 문제나 **시각적 직관(도식)**도 추가로 설명
그리고 친절한 단계별 설명에 집중
https://github.com/bhavyab212/Realtime-Report-Tracking
this is the github link of current website , i want u to make it modern and revised version of this website 

make a modern website , like this 
https://dribbble.com/shots/24372138-TrafficTrace-Web-App-UI-UX-Design-for-SAAS-IT-Services-Website

https://dribbble.com/shots/25742359-CRM-Dashboard-App-Design

https://dribbble.com/shots/25274075-OneText-SaaS-AI-Website-UI-UX-Design

https://dribbble.com/shots/25605862-Recruitment-Dashboard

https://dribbble.com/shots/25477276-Recruitment-Web-App

https://dribbble.com/shots/24270320-Horizon-Homes-Real-Estate-Web-App-Design-Dashboard

https://dribbble.com/shots/24085727-Flup-Web-App-UI-Design-For-Delivery-Dashboardadmin-panel

Note: if u can make a better structure and better management than my original one, then u are free to make changes and make it look better and so good that people just love to visit because it's too damnn good