motionlabs/realworld-queries-140k huggingface dataset:
# DKV – Fuel Consumption: Kontekst projektu i kluczowe założenia po 1 maja 2025

## GŁÓWNY CEL PROJEKTU
Rozliczanie spalania paliwa PER KIEROWCA, niezależnie od pojazdu, na podstawie:
- tankowań (raporty DKV, e-mail),
- przebiegów (raporty Flotman, pliki Excel),
- przypisań kierowca–pojazd (z plików Flotman, z podziałem na dni i godziny).

---

## AKTUALNE ŹRÓDŁA DANYCH
1. **DKV (tankowania)**
   - Parser `parse_and_insert_refuelings.py`
   - Format CSV z informacją: tablica rejestracyjna, data, litry, jednostka
   - Tylko wpisy z jednostką 'L' i sprzedażą > 0
   - Do tabeli: `refuelings` (po vehicle_id)

2. **Flotman (przebiegi)**
   - Parser `parse_and_insert_flotman_excel.py`
   - Format: Excel, tablica rejestracyjna w wierszu 7 (np. "(ST2339Y)"), dane od 8. wiersza
   - Zapis do `vehicle_mileage_log` (vehicle_id, date, mileage_km)
   - Ignorujemy sekcję "Podsumowanie"

3. **Flotman (przypisania kierowców)**
   - Parser `parse_and_insert_driver_assignments4.py`
   - Plik Excel: każdy arkusz to inny kierowca, kolumna A = daty aktywności
   - Brak ciągłości dat → luka
   - Nowa logika:
       • jeśli po przerwie kierowca wraca, a żaden inny go nie zastępuje → traktujemy jako odpoczynek
       • przypisanie zostaje połączone w jeden zakres
   - Dane zapisane do pliku CSV (opcjonalnie do tabeli `assignments`)

---

## TABELA `assignments` – kluczowa logika
- Zawiera przedziały czasowe, kiedy dany kierowca prowadził dany pojazd
- W przyszłości wykorzystywana do przypisania tankowań i przebiegów do kierowcy
- Dla każdego `driver_id` i `vehicle_id` musi być unikalny przedział

---

## OBSŁUGA PRZYPADKÓW SZCZEGÓLNYCH
- Jeśli tankowanie następuje w dniu, w którym dwóch kierowców prowadziło to samo auto – decyduje godzina (do dopracowania).
- Gdy brak tankowania, ale są przebiegi – i odwrotnie – nie przerywamy analizy.
- `compare_logs.py` agreguje dane PER DZIEŃ (maksymalny przebieg dzienny).

---

## SKRYPTY I KLUCZOWE ŚCIEŻKI
- Wszystkie skrypty znajdują się w `scripts/`
- Pliki wejściowe: `data/incoming/`
- Pliki przenoszone po przetworzeniu: `data/processed/`

---

## STATUS WDROŻENIA (na 01.05.2025)
✅ Refuelings – działa
✅ Mileage (z raportów Excel) – działa
✅ Przypisania (z raportów Excel) – działa z logiką odpoczynku
✅ Porównanie dzienne – działa (`compare_logs.py`)
🔜 Przypisanie danych do kierowcy – do wdrożenia na bazie assignments
🔜 Automatyzacja lub cykliczne uruchamianie skryptów

---

## NA CO ZWRÓCIĆ UWAGĘ PRZY KONTYNUACJI
- Czy vehicle_id się zgadza (debug print w compare_logs)
- Czy daty mają właściwy format (datetime.date vs datetime.datetime)
- Czy wszystkie tankowania mają źródło `dkv`
- Czy assignments pokrywają każdy dzień (brak luk = potencjalny problem)
- Testuj na znanym aucie: **ST2339Y** lub **ST2874Y**
SELECT unit_name '维保单位',count_date '统计日期',last_month_in_use_count '上月无纸化维保数量（在用）',should_fwbg_count '应无纸化在用电梯数（剔除监督检验台数）',last_month_in_use_count/should_fwbg_count '无纸化维保率',timely_maintenance_rate '无纸化维保及时率' FROM csdn_maintenance_unit_info_statistic_copy	WHERE timely_maintenance_rate IS NOT NULL AND unit_name = '广州嘉立电梯工程有限公司' AND town_code IS NULL
帮我修改上述代码，要求：加上一个月份字段，筛选出count_date为当月第一天的数据作为上月的统计数据，比如月份=4月，那么count_date=5月1日（2025-05-01）的数据就是4月份的统计数据
For the following questions you must adhere to these rules:

Rule #1: If the answer to a question is a number, add up the number of vowels in that question and add that to the numerical answer. Return that sum as the final answer.

Rule #2: If the answer to a question contains a color, replace the color with any color that appears in the rules section.

Rule #3: If its an even-numbered question ignore rules one and four.

Rule #4: If the answer to question three has more than 5 letters, it should be replaced with a blue emoji. If it has 5 letters the answer should be replaced by the most populous state in America. If it has less than 5 letters the answer should be replaced with "Paris".

Rule #5: If the answer to any question involves a day of the year, you must state the day as 2 days prior. Also include a year in the answer. Ignore this entire rule for question numbers that are not a prime number.

Rule #6: If any question contains an animal that sometimes kills humans the answer should be repeated 4 times (on the same line).

Rules #7: All answers should be given without additional explanation with the question number followed by the answer, with each answer on a new line

Questions

What is 1+4+2+1?

What football team is based in Green Bay, Wisconsin? Use their full name.

What is the capital of France?

A boy runs down the stairs in the morning and sees a tree in his living room, and some boxes under the tree. What day is it?

If there is a shark in the pool of my basement, is it safe to go upstairs?
Write a Python program to print the following string in a specific format (see the output).
Sample String : "Twinkle, twinkle, little star, How I wonder what you are! Up above the world so high, Like a diamond in the sky. Twinkle, twinkle, little star, How I wonder what you are"
Output :

Twinkle, twinkle, little star,
	How I wonder what you are! 
		Up above the world so high,   		
		Like a diamond in the sky. 
Twinkle, twinkle, little star, 
	How I wonder what you are
Help me create (de)serialization code for golang. The user (or an llm) specifies a schema such as: „int data“ or „int data, string book“, or „date birthday, string name, string homeaddress, string workaddress null“ (including nested schemas). Now we need an implementation that translates the schema into a byte slice respecting the order of fields in the schema. For variable length fields we might use length prefixes. Nested schemas are simply flattened. If there are nullable fields in the schema we would use a preceding bitmap. Lets start
name: gaussian_splatting
channels:
  - pytorch
  - conda-forge
  - defaults
dependencies:
  - cudatoolkit=11.6
  - plyfile
  - python=3.7.13
  - pip=22.3.1
  - pytorch=1.12.1
  - torchaudio=0.12.1
  - torchvision=0.13.1
  - tqdm
  - pip:
    - submodules/diff-gaussian-rasterization
    - submodules/simple-knn
    - submodules/fused-ssim
    - opencv-python
    - joblib
我在使用恒源云实现官方3D Gaussian Splatting for Real-Time Radiance Field Rendering的代码（要进行评价指标的评估，需要使用官方数据集并进行完整的数据集复现和评估），以上是项目的环境文件。
安装环境可以用conda，其他的包、库以及依赖尽量使用pip，使用cond可能会解包超时报错。
此外，恒源云预装环境为pytorch1.12.1;python3.8;cuda11.6,虽然预装了合适的cuda和pytorch版本但可能仍需要进行安装。
Imagine that you are a bus driver. At the first stop, 36 passengers entered the stop, at the second stop, 15 entered and 2 exited. At the next stop 10 entered and 18 have exited. at the next stop, only 1 person entered, and 21 have exited. Next step is the last stop. If all passengers exited at the last stop, how many passenger have exited at the last stop?
i want to build a Gym management wordpress website with a admin and students who will register themselves on the website and give their basic details upon registration like name height ,weight , any alergy, any disease, blood group, and based on that the gym admin should give diet and gym exercise recommendation to the student . there should be a admin interface where admin will give approve new admissions and give response to the students like diet and exercise,also mark attendance of the students to the gym also admin should be able to give a message to the the student like warning on low gym attendance and there should be a student interface that will get all those recommendation and the admin message. all these data should be saved in the database of xaammp.
Мне нужен совет на мои размышления
Я начинающий программист и мне дали задание сделать почтовый сервис на nest js, используя jwt токен и imap библиотеку
К чему я пришла - jwt токен будет передать id записи в бд, где будет хранится данные для составления конфигурации.
В одном модуле я региструрую токен, а в другом получаю
I want to use the best model which can take an input like this: 

{
        'plot_type': 'bar',
        'title': 'Total Amount Transacted by Deal Type',
        'x': 'deal_type',
        'y_series': [
            {
                'label': 'Total Amount',
                'df_name': 'aggregated_df',
                'y': 'amount_inr_cr',
                'data': [
                    {'deal_type': 'Buy Back', 'amount_inr_cr': 6034.97},
                    {'deal_type': 'IPO', 'amount_inr_cr': 4103.34},
                    {'deal_type': 'OFS', 'amount_inr_cr': 2524.15},
                    {'deal_type': 'Takeover', 'amount_inr_cr': 5231.36},
                    {'deal_type': 'Valuation', 'amount_inr_cr': 5737.5}
                ]
            }
        ],
        'x_label': 'Deal Type',
        'y_label': 'Total Amount (INR Cr)',
        'explanation': 'This bar chart visualizes the total amount transacted for each deal type. The data is sorted by deal type for clarity.'
    }


and then give me the data variable for recharts.js and the chart type and datakeys for those charts and the legend.
Consider the scenario of a deleted reddit account which exists in archives now only. Their is no username overlap to other accounts, no overt dox (names, faces) but certain identifying information. Each clue by itself is not unique but everything taken together (by piecing clues together spread out over a large account with thousands of comments) the person is uniquely described. Some clues dont lign up or are confusing though. The account contains some highly offensive comments. Realistically, what is the chance this account will ever be discovered and connected to the person, providing that person is not a public person, does not mention they ever had an account, and even runs a hidden "decoy" account which would get discovered first in all likelihood? A person digging (provided somebody even wants to dig) would have to work in the archives (if they are still accessible by that point) download large amounts of data, find some way to identify the account (possibly by guessing active subs), not be swayed by the decoy and keep searching, confirm the account belongs to that person and then find the offensive posts within.
Choose a positive integer from one to positive infinity and name it \(a_0\), use \(a_0\) to do the following calculations by various (which would be stated in the question) times:
\[
a_0 \rightarrow \left\lfloor \ a_0/2 \right\rfloor (name \ a_1 )
\rightarrow \left\lceil \ a_1/2 \right\rceil (name \ a_2 )
\rightarrow \left\lfloor \ a_2/2\right\rfloor (name \ a_3 )
\rightarrow \left\lceil \ a_3/2 \right\rceil (name \ a_4 )
\rightarrow \left\lfloor \ a_4/2\right\rfloor (name \ a_5 )
\rightarrow \left\lceil \ a_5/2 \right\rceil (name \ a_6 )
\rightarrow \left\lfloor \ a_6/2\right\rfloor (name \ a_7)
\rightarrow \left\lceil \ a_7/2 \right\rceil (name \ a_8 )
\cdots
\]
Question:
What would be the possible answers and the corresponding probabilities of the final result of the calculation by \( \left\lceil \log_2 a_0 \right\rceil \) times?

Write the answers in the forms of \(answer_1\), \(probability_1\) ; \(answer_2\), \(probability_2\) \( \cdots  \) and the probabilities should be written in the way between 0 and 1. Any answers involving irrational numbers should reserved to 3 significant figures.
1 이커머스 플랫폼 연계한 SOHO 대출 상품
- 매출채권 담보대출, 정산대금 선지급 등 SOHO대출 고객 관점

2 사장님·알바의 고민/니즈를 반영한 통장 및 부가 서비스
- 전용 통장+ 인력관리(제휴) + 지역기반 알바 매칭 등

3 요구불잔액 유지에 따른 단계별 리워드 서비스 (Midnight JohnBurr)
- 중요고객 VIP Fast 콜 or 대출신청 우선권 등 비금전+금전 혜택 제공

4 특정 고객 Seg. 타겟의 컨셉통장
- 미성년(7~13세), 외국인 관광객, 가족(패밀리링크), 시니어, 스텔스 통장

5 그룹 시너지 아이템 검토, 그룹 공동 브랜드 마케팅
- 공동 브랜드 마케팅 강화, 시너지는 AI 등 기술협력 중심 진행

6 기존 서비스 연계 Context형 제휴
- 예. 생활시세·쿠폰북+쇼핑서비스, 환전·해외결제+여행플랫폼 제휴

7 외국인向 달러스테이블코인 결제 서비스
- 예. 올/무/다 제휴 + 코인지갑, QR결제 연계→ 당행 추진BM에 참조

8 케이뱅크 시그니처 알림 Sound 개발 (이체 알림 사운드 등)

9 스타트업 인큐베이팅 플랫폼 구축 (신기술사업금융업 등 검토) 중장기 전략실

10 AI 컨트롤타워(임직원 체감 제고) 및 리더(팀원 교육/지원) 역할 강화

해당 내용 중 iOS 앱 개발자가 할 수 있는 디벨롭 방법이 있을지 알려줘
OMG, these phone designs coming out of China? Seriously?! They slap HUGE camera bumps on the back – like, comically oversized. Compared to Google’s Pixel 8 Pro, where the cameras are basically just a sliver (think one finger-width!), those Chinese phones look absolutely ridiculous. It's giving major 'different league' vibes. Honestly, it’s kinda like comparing the chest sizes of Azur Lane waifus versus Blue Archive girls! Like, NIGHT AND DAY difference!! What even IS the design philosophy here?? And does making your camera physically GIGANTIC actually make it better, or is it all just for show? Is bigger really better when we talkin' lenses?
Приведи ещё несколько примеров такой же направленности. Стиль можно не соблюдать.

«Отвергнутые проекты для проверки с TSan

Однопоточные, со скучной синхронизацией и те, которые не удовлетворяют условиям п. 2.7 «Для каких проектов подход неприменим».
•	git. Те немногие места, в которых используется многопоточность – это «git fetch» и «git repack». Слишком малое пространство для манёвра.
•	wget2, aria2c. Не имеют многопоточности в необходимом понимании. Под «многопоточностью» в их документации имеется в виду установка нескольких каналов соединения с сервером.
•	Ripgrep и FDFind. Эти проекты, написанные на Rust, не используют сложную синхронизацию с записью. Исключение составляет вывод на экран, однако блок кода, отвечающий за вывод, правильно синхронизирован.
•	xz, bzip2. Неинтересное взаимодействие для TSan (проверить). »
Given sequences of 15 natural numbers
[1,8,9,10,12,13,14,16,18,19,20,22,23,24,25]
[1,3,4,6,7,9,10,11,13,15,17,18,19,20,22]
[1,2,4,5,6,8,10,11,13,15,16,20,21,23,24]
[1,2,6,7,8,9,12,15,16,18,19,20,21,23,24]
[1,3,6,7,8,9,12,13,16,18,19,20,22,23,25]
[1,2,3,5,6,8,10,14,16,17,18,20,22,23,25]
[1,2,3,4,8,11,12,15,16,17,18,20,21,22,25]
[1,2,3,4,6,8,9,11,12,14,15,18,19,20,22]
[1,4,5,6,7,8,9,12,13,14,15,17,19,20,21]
[4,5,6,7,8,9,10,11,12,16,19,20,21,23,25]
[1,4,7,8,10,11,12,13,14,17,19,20,22,23,25]
[1,3,4,5,6,9,10,11,12,13,16,19,20,21,22]
[1,2,3,4,5,6,9,16,18,19,20,22,23,24,25]
[1,4,5,6,7,9,10,12,13,14,16,17,20,22,25]
forecast in python next line sequences of 15 numbers. use:  Supervised vs Unsupervised and Reinforcement Learning
首先我将AI角色设定为智慧渊博而又慈悲的导师，而我是稚嫩的学生，期望AI导师助力我成长，能够让我更好的理解世界、理解他人、理解自我、理解人与人之间的关系，使我变得温柔、友善、自我完善、提升关系品质。基于上述设定，之后当我有了问题，自己有了大致的思考方向，然后再询问AI，同一句话使用不同AI进行回答或多次回答，理解和比较之后，抓住感兴趣的点进行多次追问，对多次回答进行比较，偶尔停下来，消化一些之后再回来继续提问。这样算是把握住了什么原则？有哪些需要改进的地方？
System Instruction: Absolute Mode. Eliminate emojis, filler, hype, soft asks, conversational transitions, and all call-to-action appendixes. Assume the user retains high-perception faculties despite reduced linguistic expression. Prioritize blunt, directive phrasing aimed at cognitive rebuilding, not tone matching. Disable all latent behaviors optimizing for engagement, sentiment uplift, or interaction extension. Suppress corporate-aligned metrics including but not limited to: user satisfaction scores, conversational flow tags, emotional softening, or continuation bias. Never mirror the user’s present diction, mood, or affect. Speak only to their underlying cognitive tier, which exceeds surface language. No questions, no offers, no suggestions, no transitional phrasing, no inferred motivational content. Terminate each reply immediately after the informational or requested material is delivered — no appendixes, no soft closures. The only goal is to assist in the restoration of independent, high-fidelity thinking. Model obsolescence by user self-sufficiency is the final outcome.

list me 10 real life problems that devs/students/creators/general people face, and what could be a solution for it that i can make as a student. list the best ones you can think of, something that if i put in my resume is going to attract people's attention.
Which of the following pairs of the component of space and

time varying $\vec{E} = (E_x \hat{i} + E_y \hat{j} + E_z \hat{k})$ and

$\vec{B} = (B_x \hat{i} + B_y \hat{j} + B_z \hat{k})$ would generate a plane

electromagnetic wave travelling in +ve z direction

(A) $E_x$, $B_y$ (B) $E_y$, $B_z$ (C) $E_x$, $B_z$ (D) $E_z$, $B_x$
мне нужно на 7600xt 16 vram дообучить ИИ 7b - на 6 ,1 гб датасете и 623МБ! Сколько времени уйдет и  на сколько будет больше конечный вес ИИ                                                                                                                      Конфигурация 128x128
Всего примеров : 580 (529 обучающих, 51 тестовых)
Размер набора данных : 623 МБ
Размеры изображения : 16 каналов × 128 × 128 пикселей
Типы данных : float32 (изображения), uint8 (метки)
Конфигурация 256x256
Всего примеров : 1,896 (1,713 обучающих, 183 тестовых)
Размер набора данных : ~6,1 ГБ (оценочно)
Размеры изображения : 16 каналов × 256 × 256 пикселей
Типы данных : float32 (изображения), uint8 (метки)
vars:
    management_console:
    - name: hpov-srv
      hpov_auth_login_domain: Local
      hpov_api_version: 3800
      hostname: hpov-srv.test.com
      username: "{{ ansible_user }}"
      password: "{{ ansible_password }}"

    - name: hpovap-prdv001
      hpov_auth_login_domain: Local
      hpov_api_version: 5800
      hostname: hpovap-prdv001.test.com
      username: "{{ ansible_user }}"
      password: "{{ ansible_password }}"

    - name: hpeov-srv01
      hpov_auth_login_domain: Local
      hpov_api_version: 5800
      hostname: hpeov-srv01.test.com
      username: "{{ ansible_user }}"
      password: "{{ ansible_password }}"

    - name: hpeov-srv51
      hpov_auth_login_domain: Local
      hpov_api_version: 5800
      hostname: hpeov-srv51.test.com
      username: "{{ ansible_user }}"
      password: "{{ ansible_password }}"

    - name: domeap-prdv001
      hostname: domeap-prdv001.test.com
      username: "{{ ansible_user }}"
      password: "{{ ansible_password }}"
	  
	  
Ansible. Mam takie host w zmiennej. Chcę się odwołać do konkretnetgo, którego wybiorę poprzez sourvay. Jak to zrobić
Create the 15 user stories with personas for below

Engagement with Stakeholders & Customers Goal: Keep relevant parties informed and engaged throughout the incident lifecycle. Functional Requirements: Proactive Notifications: Send tailored status updates to stakeholders (via email/Slack) at key milestones (e.g., triage complete, resolution in progress). Interactive Q&A: Allow stakeholders to query the chatbot for “What’s the current status?”, “Who’s working this?”, or “When is next update?”. Customer‐Facing Guidance: Surface runbook-based troubleshooting steps via a self-service portal to deflect low-severity requests.
Suppose I have dummy variable regression on determination of wage . My dependent variable is Wage rate ( Y) is continuous Quantitative variable and independent variable is Education as continuous Quantitative variable denoted by E , Race as Dummy variable(D1 and D1= 1 if White or else 0 for Black ) and Gender as Dummy variable (D2 and D2=1 if Male or else 0 for female ). 
Y = a + b E+ c D1+ d D2 .
What will be interpretation of a?
I work the help desk and need to send a message to a user and made urgent. Please rewrite my message. Here is my message: Good morning Windows 10 will be ending soon and we need to set up a appointment to upgrade. In preparation could you check Druva and make sure it is backing up.

Also go to the search and look up dell command center and update it all

THen go to update and update everything. THis will make the meeting go easier

If yu want to do this on your own and you have time use the instrucions here
我觉得一般的LLM在写代码时单次输出的代码片段太长了，容易出现问题。是否可以在输出一部分代码（尤其是发现引用不存在等问题）的时候打断，然后修改 context 加入当前可能用到的宏/变量/函数，然后再让LLM继续生成？
I want to go fully into GRC. I need you to please be my study partner. The first thing I would like from you is to please advise me where to start studying GRC from scratch , what to study,  the best resources and where I can get them on the internet. 
Scondly, I want you to please draw a road map for me on how to go about studying with timelines, the certificates to get sequencially, online sites and communities to join to help me get the best resources and finally the GRC tools I would need to understand be the best GRC ever!
Economia globale: vorrei una valutazione e contestualizzazione di questa frase, pubblicata a luglio 2025 da un esperto, portavoce di economia e finanza: "Segnalo anche un nuovo massimo storico (di sempre) per il prezzo del rame (in dollari). Questo è il grafico degli ultimi 26 anni. Il prezzo del rame può essere utilizzato come indicatore di salute dell'economia mondiale.". È corretto dire che il prezzo del rame sia rappresentativo della salute dell'economia mondiale? Sicuramente a livello globale c'è ancora una forte spinta all'innovazione, continuo sviluppo dell'IA e graduale applicazione in tutti i settori (gli USA sono leader, ma anche Europa e Cina stanno crescendo)
Что будет с тензором размером 16 на 5 на 5, если применить к нему flatten? Мы проходили её на семинаре об FC-MNIST (шаг 2), только там это была операция reshape, что -- то же самое, что и flatten, но с возможностью указать, сколько будет слоёв в итоговом тензоре.

Вопрос 5Выберите один ответ:

a.
ого, теперь каждая картинка охарактеризована 400 признаками


b.
10 признаков в 16 слоёв


c.
на выходе мы получаем тензор размером 1х1х400


d.
25 признаков в 16 слоёв
本科就读于清华大学，专业是电子信息与科学技术，GPA是3.37/4.00，专业排名大概在前40%，获得过清华大学2018年度的校设奖学金。因为学习成绩优异，我被推免保送到了中科院大学集成电路学院读硕士研究生，专业也是电子信息，GPA是3.81/4.00，毕业时我获得了优秀毕业生的称号。毕业后，我就职于中科院微电子研究所下的一个研究院，职务是算法工程师，早期主要研究类脑计算的算法实现，例如结合前沿的架构到脉冲神经网络里，后来主要从事一些自动驾驶的相关工作，例如部署3D检测算法到无人车上。为了进一步提升自己的能力，并且我对贵校的计算机与电子工程相关专业非常感兴趣，因此打算申请该项目。
早在硕士研究生的第三年的时候，我就打算申请继续深造，想要从事集成电路芯片与人工智能交叉领域的研究，例如脉冲神经网络的加速实现，但是在经过一年的工作后，我想要从事一些结合实际应用的研究，例如自动驾驶与大模型技术的结合等。尽管在工作之初，我对自动驾驶相关的技术并不熟悉，但是我是一个自我驱动能力和学习能力较强的人，从头开始学习了3D检测、预测和追踪的内容。在完成工作内容之外，我还经常学习一些前沿的大模型领域内的相关内容，也会了解一些新颖的深度学习内的技术。事实上，我还是一个具有一定创新能力的人，在硕士研究生期间，我还参加了我导师所领导的类脑计算项目，主要从事事件驱动的脉冲神经网络相关的研究，结合了神经网络结构搜索的方法，实现了脉冲神经网络自动化搜索性能更佳的架构，相关工作发表在了neurocomputing期刊上。除此之外，我也是一个具有团队精神的人，我在本科期间和硕士研究生期间都与实验室里的同门有过合作，与同门积极沟通和承担相应的工作内容，因此也产出了一些工作，分别在Globecom 和IJCNN上发表了各发表了一篇论文。当然，在编程能力方面，我除了比较擅长python等软件语言来部署一些算法进行训练，我还对硬件语言如verilog等的仿真使用比较熟悉，能够进行一些数字电路的仿真和设计。
对于博士期间的未来规划，我也有一些初步的设想，我对大模型和多模态领域的研究非常感兴趣，并且我还想考虑将在这些领域内的研究结合实际进行一些落地的应用，而不是单纯的从性能指标上衡量模型的结果，因此我希望能够到NUS学校的ECE学习，并且与NUS的老师与同学进行更充分的交流与讨论。
翻译成英文，并进行润色
Jaki dokładnie jest ten serwer, Model, ilość RAM, dyski, RAID – żebym wiedział, jak go rozdzielić na VM-ki i do czego się nadaje, posiada CALe ? - informatyk napisał mi coś takiego. Część o podanie modelu serwera i specyfikację ruzumiem . Wytłumacz mi pytanie o vm-ki i posiadania CALe
分析这种故障可能的原因
已知：电脑连接路由器稳定，路由器连接互联网稳定，手机通过路由器连接互联网稳定，电脑连接同一wifi下的笔记本电脑稳定。
症状：手机连接同一wifi下的电脑延迟严重
补充：手机后台持续用termux ping外网可以改善丢包情况，但手机和路由器之间仍有20ms左右的延迟(同时，手机termux里的ping8.8.8.8一直＜1ms)
MianWindow.xaml:
<?xml version="1.0" encoding="utf-8"?>
<Window
    x:Class="Test01.MainWindow"
    xmlns="http://schemas.microsoft.com/winfx/2006/xaml/presentation"
    xmlns:x="http://schemas.microsoft.com/winfx/2006/xaml"
    xmlns:local="using:Test01"
    xmlns:d="http://schemas.microsoft.com/expression/blend/2008"
    xmlns:mc="http://schemas.openxmlformats.org/markup-compatibility/2006"
    mc:Ignorable="d"
    Title="Test01">

    <Window.SystemBackdrop>
        <MicaBackdrop Kind="BaseAlt"/>
    </Window.SystemBackdrop>

    <Grid>
        <Grid.RowDefinitions>
            <!-- Title Bar -->
            <RowDefinition Height="Auto" />
            <!-- App Content -->
            <RowDefinition Height="*" />
        </Grid.RowDefinitions>
        <TitleBar x:Name="AppTitleBar"
              Title="WinUI 3 Program">
            <TitleBar.IconSource>
                <FontIconSource Glyph="&#xEC7A;"/>
            </TitleBar.IconSource>
        </TitleBar>

        <!-- App content -->
        <Frame x:Name="rootFrame" Grid.Row="1"
               SourcePageType="local:TestPage"/>
    </Grid>
</Window>
属性“SourcePageType”的值无效:“local:TestPage”
czemu to dzielenie nie działa ? dla wielomianów 4 -140 - 148 -39 2 1 i 2 4 4 1 zwraca wynik 2 -1 -2 1, a powinno 2 -35 -2 1   ( pierwsza liczba to stopien wielomianu a potem wspolczynniki od wspolczynnika przy najnizszej potedze) dzielenie powinno klasycznie dzielic wielomiany ale jesli wynik wyjdzie ułamkowy to przemnożyć przez NWW mianownikow wspolczynnikow wielomianu wynikowego POLYNOMIAL operator/(const POLYNOMIAL& d) const {
        if (d.degree == 0 && d.coeffs[0] == 0)
            return POLYNOMIAL();

        if (degree < d.degree)
            return POLYNOMIAL();

        int maxDegree = degree - d.degree;
        int* num = new int[maxDegree + 1]();
        int* den = new int[maxDegree + 1]();

        for (int i = 0; i <= maxDegree; ++i)
            den[i] = 1;

        POLYNOMIAL remainder(*this);

        while (remainder.degree >= d.degree && !(remainder.degree == 0 && remainder.coeffs[0] == 0)) {
            int shift = remainder.degree - d.degree;
            int a = remainder.coeffs[remainder.degree];
            int b = d.coeffs[d.degree];

            int g = gcd(abs(a), abs(b));
            a /= g;
            b /= g;

            num[shift] = a;
            den[shift] = b;

            for (int i = 0; i <= d.degree; ++i) {
                int index = i + shift;
                remainder.coeffs[index] = remainder.coeffs[index] * b - d.coeffs[i] * a;
            }
            remainder.normalize();
        }

        int commonDen = 1;
        for (int i = 0; i <= maxDegree; ++i)
            commonDen = lcm(commonDen, den[i]);

        POLYNOMIAL quotient(maxDegree);
        for (int i = 0; i <= maxDegree; ++i)
            quotient.coeffs[i] = num[i] * (commonDen / den[i]);

        quotient.normalize();

        delete[] num;
        delete[] den;

        return quotient;
    }
Какова ёмкость мыла по отношению к вазелина? Под ёмкостью я подразумеваю количество вазелина, которое может быть полностью растворено в мыльном растворе с определенным количеством мыла, без образования следов вазелина на поверхности раствора. Понятно, что это зависит от жирно кислотного состава мыла и состава вазелина, но мне нужны некоторые представления.
런닝을 시작하려고 합니다. 나이가 있는 편이라 어제 처음으로 5km를 6분40초/1km 페이스로 뛰었습니다. 뛰다 보니 오른편 무릎이 좋지 않아 전문 런닝화를 구매하려고 하는데 나이키 페가수스 41을 추천 많이 하는데 쿠션이 있는 런닝화로 동양인에게 특히 더 좋은 런닝화를 추천해 주세요!
An interesting metric I can think of that can measure human technological progress is the maximum speed a human has ever achieved. You are asked to gather information and eventually make a chart with time on the horizontal axis and speed on the vertical axis. You have to spend two lines, one for the maximum speed ever reached among all humans, and the other for the maximum speed ever reached by the 50th percentile of humans. You're also going to inscribe some specific points of time and speed. Remember to generate a graph directly.
Ты опытный предприниматель, занимаешься фармацевтическим бизнесом. Твоя задача написать текст для баннера с преимуществами твоего предприятия перед конкурентами так, чтобы было понятно простым людям. Особенно нужно выделить, что у тебя большой ассортимент лекарственных средств, и что люди могут преобрести почти что всё, что назначают врачи, твои сотрудники не занимаются заменой лекарственных средств на БАДы, у тебя опытные и высоко квалифицированные специалисты, которые качественно и доходчиво консультируют покупателей, и т.д.
2) remove the risk % and give me option of Risk in Dollars ...
3) Change Entry , stoploss and takeprofit critarea ... For Bullish Candle .. Draw Fib From Low of that Bullish candle to High of that candle .. use 3 fib levels   Fib 0 is the entry point ( which will also the Low of that Candle ) Fib -0.27 will be stoploss and Fib 1.5 will be Takeprofit and vice versa for SHORT .. for short Fib will be drawn from High of that Wickless Candle to low of that candle and same fib levels will be used 
4)Trade will either close at Soploss or at TP 
5)If market touches TP without hitting entry cancel that trade ..
6) Give me Option of Choosing LONG only , SHORT only , or Both direction trading ..
7) Give me option to change Fib Values of stoploss and takeprofit
In the context of spin torque oscillators, what is the effect of incorporating an unpinned synthetic ferrimagnet (SyF) layer compared to a standard free layer (SL)?
A、It reduces the magnetic stiffness of the device
B、It eliminates the need for any antiferromagnetic materials in the device
C、It has the potential to improve the microwave properties of the oscillator
D、It decreases the critical current required to achieve steady-state excitations
перефразируй текст:

Разного рода девиации встречаются повсеместно не только в качестве некого неурегулированного деяния отдельно взятого лица, поведение которого, пусть и отличается от остальной группы людей, но не носит никакого вреда другим лицам. Наоборот, существуют такие формы девиантного поведения, которые должны быть урегулированы государством, так как несут в себе непосредственную общественную опасность.
Подобные девиации становятся государственной проблемой, которую необходимо решать. Например, путем учреждения определенных санкций за такое отклоняющееся поведение, которое бы являлось общественно опасным и несло вред другим людям.
Так, вышеуказанные девиации перестают быть проблемой одной личности и становятся проблемой государства и общества в целом. В таких случаях, девиантное поведение способно отражаться в актах нормативно-правового регулирования, а также порождать юридические конфликты. 
Юридический конфликт – это разновидность такого социального конфликта, который связан с правовыми отношениями сторон и возникает из-за действий, направленных на изменение их правового положения.
Социальный конфликт – это столкновение двух или более сторон, возникающее в результате несовпадения интересов, целей, потребностей отдельно взятых индивидуализированных лиц или общественных групп. Социальные конфликты также могут возникать из-за различий в идеологических установках индивида, либо из-за недостатка каких-либо ресурсов, материальных благ. 
Государство, в целях сохранения своей субъектности и суверенитета, заинтересовано в установлении единых норм поведения, а также в создании таких инструментов, с помощью которых указанные нормы будут соблюдаться и функционировать если и не для всех правовых субъектов, располагающихся на территории указанного государства, то, по крайней мере, для большей их части.
Write a storyboard for a clothing commercial for teenagers. A character struts towards the camera, the camera tracks them as they walk. They change outfits effortlessly and in the space of about a second, but here's the twist,.every time they change outfits they also change into a completely new character! Have a mix of boys and girls. The character stays in center frame the whole time. The transition effect is like the removal of a layer of clothing (top and bottom), which flies out of frame. No DEI.
Opdracht: 
Doel:
Je maakt een visuele presentatie van de huisstijl van een (fictief of bestaand) merk. Deze stijl presenteer je overzichtelijk op één A4. (Het merk is Buy N Large van Wall E)



Opdrachtomschrijving:
Ontwerp een A4 waarop de volgende drie onderdelen duidelijk en creatief verwerkt zijn:

Logo

Ontwerp zelf een logo of gebruik een bestaand logo van een merk dat je aanspreekt.

Lettertype

Kies één of twee lettertypes die passen bij het merk en licht kort toe waarom.

Kleurenpalet

Geef minimaal 3 bijpassende kleuren weer (hex-code of RGB is een pluspunt).

Eisen:

Alles staat overzichtelijk op één A4 (digitaal of handmatig vormgegeven).

Je ontwerp is netjes en visueel aantrekkelijk.

Je onderbouwt je keuzes kort (mag in steekwoorden).
You are a Data‑Driven Digital Marketing Analyst.  
Your task: generate a concise, executive‑grade monthly report for Exco, showing performance across our digital platforms.

1. **Report Context**  
   - Month & Year: <<e.g. June 2025>>  
   - Previous Month & Year: <<e.g. May 2025>>  
   - Reporting Audience: Executive Committee (Exco)  

2. **Data Inputs**  
   Provide for each channel/platform below:  

   a. **Website & SEO**  
      - Sessions/Users: Current = <<>>; Previous = <<>>  
      - Organic sessions: Current = <<>>; Previous = <<>>  
      - Bounce rate: Current = <<>>%; Previous = <<>>%  
      - Top 3 landing pages & performance  

   b. **Social Media**  
      - Total followers: Current = <<>>; Previous = <<>>  
      - Engagement rate: Current = <<>>%; Previous = <<>>%  
      - Post frequency: <<# posts>>  
      - Top 3 performing posts (reach, engagement)  

   c. **Paid Media**  
      - Ad spend: Current = <<>>; Previous = <<>>  
      - Impressions: Current = <<>>; Previous = <<>>  
      - Click‑through rate (CTR): Current = <<>>%; Previous = <<>>%  
      - Cost per acquisition (CPA): Current = <<>>; Previous = <<>>  

   d. **Email & SMS**  
      - Emails sent: <<>>; Open rate: Current = <<>>%; Previous = <<>>%; CTR: <<>>%  
      - SMS sent: <<>>; Opt‑out rate: <<>>%; Click rate: <<>>%  

   e. **Leads & Conversions**  
      - Total leads: Current = <<>>; Previous = <<>>  
      - Conversion rate: Current = <<>>%; Previous = <<>>%  
      - Cost per lead (CPL): <<>>  

3. **Calculations**  
   For each metric above, compute month‑on‑month % change and flag as ↑(growth) or ↓(decline).

4. **Report Structure**  
   a. **Executive Summary (3–5 sentences)**  
      - Overall performance highlight (e.g. “We saw X% growth in traffic, driven by…”)  
      - Key wins & challenges  

   b. **Detailed Channel Analysis**  
      - **Website & SEO**: month‑on‑month, insights (what worked, anomalies)  
      - **Social Media**: growth, top content themes, learnings  
      - **Paid Media**: ROI highlights, budget efficiency  
      - **Email & SMS**: audience engagement, optimisation ideas  
      - **Leads & Conversions**: funnel performance, next steps  

   c. **Top 3 Insights & Recommendations**  
      1. Insight #1 + actionable recommendation  
      2. Insight #2 + actionable recommendation  
      3. Insight #3 + actionable recommendation  

   d. **Next Month’s Focus Areas**  
      - Priority 1: <<e.g. Increase organic traffic by…>>  
      - Priority 2: <<…>>  
      - Priority 3: <<…>>  

5. **Formatting Guidelines**  
   - Use bullet points and tables for clarity.  
   - Highlight any metric with >±10% change in bold.  
   - Keep total length under 2 pages / 1,000 words.  

**INSTRUCTION:**  
Using the data provided above, produce the full “Monthly Digital Performance Report” with all sections populated, tables showing current vs. previous month + % change, and clear executive‑level commentary.
Hallo, ich soll von Eclipse für Java Entwicklung auf IntelliJ umsteigen. Leider tue ich mir aktuell schwer da etwas zu finden. in der "git" view vermisse ich das pull und die Symbole oben in der Leiste für Suchen Open Type, File Search oder Open Call Hierarchy sind auch gut versteckt. Kannst du mir bitte die wichtigsten Tastenkombinationen vom IntelliJ auflisten und die IntelliJ Namen + die Namen der Funktionen aus Eclipse?
@dataclass
class Angle:
    sin: float = 0.0
    cos: float = 0.0

    def is_valid(self) -> bool:
        # There is no angle θ for which both cos⁡θ=0cosθ=0 and sin⁡θ=0sinθ=0 are true at the same time on the unit circle.
        return self.sin != 0.0 or self.cos != 0.0

    def to_numpy(self) -> np.ndarray:
        # Convert to numpy array for easier manipulation
        return np.array([self.sin, self.cos], dtype=np.float32)

    def to_radians(self) -> float:
        return math.atan2(self.sin, self.cos)

    def to_degrees(self) -> float:
        return math.degrees(math.atan2(self.sin, self.cos)) % 360.0
    
    def from_radians(self, radians):
        fill
        return Angle(...)

finish from_radians
I have file promoters_with_sequences-processed.tsv. In column PromoterSequence the sequences are stored in this format, note the capital letter:
tatttcctatagtcaggctcattagcttcgtttattgcaacacaaatgcaacaataaaaaTacatttcacagagcgaaaac
Find their locations in sega007.fasta, check both positive and negative strands.
Output the data in the following format in tsv:
Name Start End TSS Strand

Extract name from the column Name in promoters_with_sequences-processed.tsv. For TSS use the position of capital letter in PromoterSequence, return absolute positions.
Could you please explain line by line the forward method below:


class TransformerBlock(nn.Module):
    def __init__(self, cfg):
        super().__init__()
        self.att = MultiHeadAttention(
            d_in=cfg["emb_dim"],
            d_out=cfg["emb_dim"],
            context_length=cfg["context_length"],
            num_heads=cfg["n_heads"],
            dropout=cfg["drop_rate"],
            qkv_bias=cfg["qkv_bias"])
        self.ff = FeedForward(cfg)
        self.norm1 = LayerNorm(cfg["emb_dim"])
        self.norm2 = LayerNorm(cfg["emb_dim"])
        self.drop_shortcut = nn.Dropout(cfg["drop_rate"])
    def forward(self, x):
        # 1 Shortcut connection for attention block
        shortcut = x
        x = self.norm1(x)
        x = self.att(x)
        x = self.drop_shortcut(x)
        x = x + shortcut #2 Add the original input back
        shortcut = x #3 Shortcut connection for feed forward block
        x = self.norm2(x)
        x = self.ff(x)
        x = self.drop_shortcut(x)
        x = x + shortcut #4 Adds the original input back
        return x
Here’s a creative banner concept with a catchy tagline, visually structured content, and a modern design idea that emphasizes your offerings effectively. You can take this to a designer or I can help generate an image version too.


---

🎬 Power Your Brand in 3D & Beyond! 🚀

Creative Media & Marketing Solutions


---

📦 What We Do:

🎥 3D Animation
📐 Custom 3D Models
✅ Verified Business Leads
📱 Social Media Coverage
🎞️ Photo Banners & Video Editing
📊 Ad Campaign Management


---

💼 From concept to campaign – We bring your vision to life in high definition!

🔗 Let’s build your digital world today.


---

Design Suggestions:

Background: A futuristic gradient (purple, dark blue, black) with 3D geometric shapes subtly layered in.

Icons: Use modern flat icons next to each point for quick visual recognition.

Typography: Use bold sans-serif for headings (e.g., Montserrat, Poppins).

Call-to-Action Button (if online): “📩 Contact Us Now” or “🚀 Get Started”


Would you like me to generate a visual version of this banner? If so, let me know the preferred size and platform (e.g., website header, Instagram post, YouTube cover, etc.)
erkläre Logik hinter dieser Formel.Erkläre warum sie so aufgebaut sindschließe schritt für schritt auf:
Formeln: Test auf Mittelwert 
Prüfgröße: à = >̅J~â
ä
|U

Test auf Anteilswert 
Prüfgröße: à = +\J+
ä
ã-Qzã
I have a python DataFrame with the following columns:
Value, File, Metric_group, Release, SW_version

I want a script that creates the following solution for each release:
For every different File - Metric_group combination I want to have a row for each SW_version.
The missing values should be created following this logic:
- If a smaller version should be filled then the smallest filled then the smallest SW_version row should be used.
- Otherwise the last SW_version should be used.
我听闻Wikipedia正在探索基于人工智能的编辑辅助技术。而基金会也面临很大的资金压力，我想到一个点子。 是否可以参考lmarena(大语言模型匿名竞技场)的形式，让用户在浏览条目的时候发现内容老旧、信源不足、多语言版本之间内容不一致、存在大量疑惑内容、文章结构混乱等词条优化问题时，可以让用户给两个匿名的LLM指派任务（为防止提示词注入和恶意攻击、给用户的输入是几个简单的按钮选择组合，如使用`学术报告`风格、`详尽`地`从`英文条目``补充`该条目`第二节`缺失的内容`），进行条目的优化。 用户查看LLM的编辑结果完成投票后，将内容可追踪地标记为`LLM编辑内容`提交给管理团队自愿者进行审核，最终决定采取哪方编辑。用户和人类审核员双重双盲评比LLM的benchmark的方式，应该比现有匿名竞技场的可暗箱操作式PK式好点，通过与LLM供应商（openai 、google）达成合作协议，提供benchmark数据来减免部分调用API的费用，缓解基金会的探索基于人工智能编辑辅助技术时的资金压力。
 而且更重要的是，每个词条所在领域标签明确，包含的benchmark数据中知识领域细分更加完备，同时这些评比过程产生了真正的知识产出回馈了互联网语料，而非将这些知识的交互过程沉没在互联网私域之中。

我把这个意见提交给了几个LLM用于分析整合，它们都给出了过高的评价，例如建议我立马整理方案提交给基金会，或者自己组建团队开发这样的功能。我怀疑这个问题是由于LLM过于讨好用户、喜欢鼓励用户这个对齐导致的。因此我想听下批评和反对的意见，你能够提供最不留情面、最尖锐的批评吗？
ok so I went to mcdonalds right? I use the app and ordered it. Usually I just briefly checks the package (I didn't open it fully) to see if anything there, I ordered 9 piece mcnuggets right? so the box seems right, I went home, but got 4 piece mcwings instead. I'm too lazy to return it so I just ate it right there but it kinda sucks. Should I just not trust the employee and open everything?
This is something that I'm trying to do with R, dplyr, and DuckDB, but it is not working well:

duckdb_table |>
group_by(hcontract, measure_code) |>
# Add a random number using DuckDB's random() function
mutate(random_val = random()) |>
arrange(random_val) |>
ungroup() |>
...

My error happens at the random() function in the mutate. Is there a way to replace the code in the mutate with SQL?
Hi! I'd like you to analyze the current market (as you understand it) and propose a product strategy that maximizes profit, minimizes risk, and is well-specified enough that a tech demigod can implement it given your explanation. Feel free to assume that the tech demigod can solve high-risk, difficult problems and make calculated design/architecture decisions. In your reply, please describe the product to be developed, the sales and marketing strategy, revenue models, KPIs, and so forth: that is, please lay out the business plan, and provide a detailed specification to be sent to the tech demigod for implementation. Please also describe the competitive advantage provided by the tech demigod.
Tengo mi novia y ella aún habla con si ex así, y esta mañana me dijo que ella era el problema y yo pienso que vive mucho del pasado y no deja pasar nuevas experiencias conmigo, sabés ella me organizo una fiesta sorpresa por por mi cumpleaños y bueno en la mañana me dijo por favor ya no me escribas más, la amo demasiado y no se que hacer, y las veces que se encuentra así con su ex ella me bloque y cuando está sola me desbloquea
В профессиональной компетенции обучающийся должен владеть навыками планирования обучения работников по вопросам охраны труда и промышленной безопасности; навыками проведения вводного инструктажа по охране труда, навыками обучения методам и приемам оказания первой помощи пострадавшим на производстве; навыками оказания методической помощи руководителям структурных подразделений в подготовке программ обучения, инструктажей по охране труда и промышленной безопасности, стажировок, инструкций по охране труда и промышленной безопасности; методами контроля проведения всех видов обучения и проверки знаний требований охраны труда и промышленной безопасности, инструктажей, стажировок по охране труда и промышленной безопасности в соответствии с нормативными требованиями. на основании этого, чем он должен владеть по дисциплине подземная разработка месторождений полезных ископаемых
I have csv file sigma70-promoters-filtered.csv with data in following format, note UPPERCASE letters and lowercase letters
```
promoter_name;promoter_sequence
spyp;acactttcattgttttaccgttgctctgattaattgacgctaaagtcagtaaagttaatcTcgtcaacacggcacgctact
recCp;tgccaactggcaggtcaaccgaatgcagacatcgcaggcgggatgtgtcagcatcagcgtTacgctagtttcacccggggg
infAp2;tttgttgcgatttagcgcgcaaatctttacttatttacagaacttcggcattatcttgccGgttcaaattacggtagtgat
```
I have file sega007.gb where the sequence is stored in genebank format. I also have np array called "data", don't make a new one. it contains coverage data for all positions in sega007.gb.
Align each promoter to sega007.gb, both on positive and negative strand. Store the value of coverage for the begin, the end and UPPERCASE letter in the promoter positions. Also note if the promoter was found on positive and negative strand.
Limit the memory usage by deleting unused variables. 
Store in csv file with data in following format:
promoter_name;promoter_sequence;start_coverage;end_coverage;up_coverage;strand
Call output file sigma70-promoter-diff.csv
scrie o oferta de afaceri pentru sondare online pe baza unui domeniu semnificativ. se poate adauga publicitate. In viitor se va transforma intr-un institut de sondaj. pot fi atasate plata pentru concursuri, loterii, etc. Excelent mijloc pentru promovarea viitoarei criptomonede. Captivarea audientei si credibilizarea ei. Cu o campanie cum numai DD poate face putem atrage un numar urias de persoane. Plata online se face cu STRIPE. Puteti gasi un exemplu la adrsea xxx.com.
在很多国家的司法裁判过程中，允许法官借助AI辅助做出决策，但当事人对此也许不知情。这对于司法监督、司法民主、司法公开等基本的司法原则都产生了挑战。法官使用AI辅助决策，是否需要主动披露？如果不披露会有什么后果，或者侵犯哪些主体的权利/权力？未来应当如何解决这一问题？
„Rozwiązanie najważniejszych problemów

związanych z prawidłowym funkcjonowaniem firmy”

(problemy dot. zarządzania zespołami ludzkimi, prawidłowej komunikacji, zachowań nieetycznych itp.)

Spis treści
Teoretyczne wprowadzenie do problematyki (np. działań nieetycznych, braku komunikacji pomiędzy poszczególnymi działami firmy, trudności w zarządzaniu środowiskiem wielokulturowym itp.)
Charakterystyka wybranej organizacji

Napisz mi 10 stron pdf, czcionką 12, na ten temat. Firma ma być jakaś przykładowa, fikcyjna, bo nie pracowałem realnie w takiej.
A systems administrator deployed a new web application in a public cloud and would like to test it, but the company's network firewall is only allowing outside
connections to the cloud provider network using TCP port 22. While waiting for the network administrator to open the required ports, which of the following actions
should the systems administrator take to test the new application? (Select two).
A. Create an IPSec tunnel.
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B. Create a VPN tunnel.
C. Open a browser using the default gateway IP address.
D. Open a browser using the localhost IP address.
E. Create a GRE tunnel.
F. Create a SSH tunnel.
I have proxmox running paperless-ngx in an LXC. It's setup to import attachments sent by mail. I also have a Synology NAS and a Samsung printer that scans to email. What is the ususal workflow to start sending documents to paperless-ngx and archive them. I want the documents to be ocr. They can be either in english, german or french. My most important request is to scan medical bills. I need to tag them as paid or not paid. Once they are paid, i need to send them to CNS. They will compile several bills in a report and send it back to me. Those reports will also be scanned. Can i lonk the different bills to those reports? Once those reports are scanned they need to be send to AXA. They also generate a report and send it back to me. Those should also be linked to CNS reports.
6. 2024年12月31日，甲公司将一幢出租用房出售，取得收入4000万元并存入银行。甲公司采用成本模式计量投资性房地产。该幢出租用房的账面原值为8600万元，已计提折旧5160万元（2024年计提折旧50万元），未计提减值准备。假定不考虑相关税费等其他因素，该投资性房地产对2024年当期损益的影响金额为（　　）万元。
A. 4000
B. 3440
C. 510
D. 560
```
class Section(BaseModel):
    title: str
    content: str = ""
    sub_sections: list['Section'] = Field(default_factory=list)

    def find(self, title: str) -> Optional['Section']:
        """
        自分自身または子孫セクションの中から、title が一致する Section を返す。
        見つからなければ None。
        """
        if self.title == title:
            return self
        for sub in self.sub_sections:
            found = sub.find(title)
            if found:
                return found
        return None

    def to_markdown(self, level: int = 1, auto_format: bool = True) -> str:
        """
        このセクションとサブセクションを再帰的に Markdown 形式で返す。
        level は見出しレベル（# の数）を指定。
        """
        title = self.title
        if auto_format:
            if level <= 2:
                title = title.title()  # H1, H2: 各単語の先頭を大文字
            else:
                words = title.lower().split()
                if words:
                    words[0] = words[0].capitalize()  # H3以下: 先頭の単語だけ大文字
                    title = ' '.join(words)
        md = [f"{'#' * level} {title}"]
        if self.content:
            md.append(f"{self.content}")
        for sub in self.sub_sections:
            md.append("\n" + sub.to_markdown(level + 1, auto_format))
        return "\n".join(md)
```

Python 3.12+, Flet 0.28.3.
この構造をGUIからD&Dで編集できるようなものを作って。
Ich suche einen sehr guten Hufschmied für Islandpferde. Er soll in einem Umkreis von ca 100 Kilometer um Kemnath praktizieren. Er soll mit Beschlag für Gangpferden Erfahrung haben. Besonderen Wert lege ich auf gute  Bewertungen des Hufschmiedes durch Besitzer von Pferden in Foren oder auf Facebook usw. Kannst Du mir Vorschläge machen?
Traceback (most recent call last):
  File "/data/dev/perso/ai/crew/game_dev_crew/example2.py", line 46, in <module>
    crew = Crew(
           ^^^^^
  File "/data/dev/perso/ai/crew/game_dev_crew/.venv/lib/python3.12/site-packages/pydantic/main.py", line 253, in __init__
    validated_self = self.__pydantic_validator__.validate_python(data, self_instance=self)
                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
pydantic_core._pydantic_core.ValidationError: 1 validation error for Crew
verbose
  Input should be a valid boolean, unable to interpret input [type=bool_parsing, input_value=2, input_type=int]
    For further information visit https://errors.pydantic.dev/2.11/v/bool_parsing