As you started to uncover according to your comment, lists are not copied when operated on, and in particular when declaring [] as a class attribute it gives you an empty list with some address on your CPU, that is shared between all classes (which is not the case with types that create copies of your variables).
See these links 1, 2, that globally show you this:
class Dog:
tricks = [] # mistaken use of a class variable
def __init__(self, name):
self.name = name
def add_trick(self, trick):
self.tricks.append(trick)
>>> d = Dog('Fido')
>>> e = Dog('Buddy')
>>> d.add_trick('roll over')
>>> e.add_trick('play dead')
>>> d.tricks # unexpectedly shared by all dogs
['roll over', 'play dead']
class Dog:
def __init__(self, name):
self.name = name
self.tricks = [] # creates a new empty list for each dog
def add_trick(self, trick):
self.tricks.append(trick)
>>> d = Dog('Fido')
>>> e = Dog('Buddy')
>>> d.add_trick('roll over')
>>> e.add_trick('play dead')
>>> d.tricks
['roll over']
>>> e.tricks
['play dead']
Forgetting about this behaviour for lists and dicts (which does not exist for tuples, int, strings, floats) is maybe the most common error in Python.
Only solution i have found is revert package @google-cloud/pubsub to version 4.11.0.
There is some problem with the HTTP client of google-gax and nodejs enviroment.
Enable Wireless Debugging on your Phone then click it and click "pair device with pairing code and on your pc in administator cmd run adb pair "ur phones ip" and it should show up your device on your phone.
Now it should always work but be careful because it's a bit of a security risk even with the code security.
It's great that you've found a passion for Machine Learning (ML) at such an early stage in your career. Your interest in the underlying math is a fantastic starting point, as it's a critical component of understanding and excelling in the field. Here's a structured approach to help you move from an explorer to a professional in ML.
1. Build a Solid Theoretical Foundation
Don't just watch videos; focus on understanding the core concepts.
Deepen Your Math Knowledge: Since you love math, this will be an enjoyable part of your journey. Linear algebra, calculus, and probability and statistics are the pillars of ML. Courses from institutions like MIT and Stanford are available online and will provide a much deeper understanding than many quick tutorials. For instance, understanding the dot product from linear algebra is key to comprehending how neural networks process data.
Master the Fundamentals of ML: Andrew Ng's course on Coursera is an excellent choice for a conceptual introduction. Follow it up with courses that go deeper into specific areas like deep learning and reinforcement learning. A strong grasp of concepts like gradient descent, backpropagation, and bias-variance tradeoff is non-negotiable.
2. Prioritize Practical Application
Theory without practice is not enough in a field like ML.
Choose a Programming Language:Python is the industry standard for ML. Get comfortable with libraries like NumPy for numerical operations, Pandas for data manipulation, and Matplotlib/Seaborn for data visualization. These are the tools you'll use every day.
Work on Projects, Not Just Tutorials: Instead of just following tutorials, try to build your own projects from scratch. Kaggle is an excellent platform for this. Participate in competitions, work on their datasets, and learn from the code shared by others. A simple project could be building a model to classify images of cats and dogs.
Contribute to Your Own Portfolio: Start a GitHub repository and upload all your projects, even the small ones. This will serve as your public portfolio, a non-negotiable asset that recruiters and hiring managers will look at. Your code will speak louder than any resume.
3. Network and Stay Updated
The ML field is incredibly dynamic, with new research and tools emerging constantly.
Join the Community: Platforms like Stack Overflow, Reddit (r/Machine Learning, r/learn machine learning), and dedicated Slack/Discord channels are great for asking questions and learning from others. Engage in discussions and help out where you can.
Read Research Papers: As you progress, start reading and trying to implement ideas from research papers. This is how you'll stay at the cutting edge. Websites like arXiv and Google Scholar are your best friends here. You don't have to understand everything at first, but get used to the language.
Attend Hackathons and Meetups: If there are local tech meetups or hackathons, participate in them. This is a great way to network with professionals and other students, learn from their experience, and work on collaborative projects.
By following these steps, you will not only acquire the necessary skills but also build a compelling professional profile that will set you up for success in the field of Machine Learning.
Being a victim of scam can be depressing, you were given empty promises. They usually stop replying after achieving their aim which hurts even more, i have been there too as i was too ambitious and wanted financial security which made me invest a huge amount of my life savings. I never thought i would be getting a dime back and already lost hope until i contacted a team which was just a leap of faith as i wasn't going to go down without a fight. Easy Recovery Assets helped me recover my scammed funds back. Do not brood alone, make a move too, If you have similar issues send a mail to their team [ easyrecoveryasset@gmail. com ] you will thank me later.
However, the viewable area of the viewport just does not look square as it should for an aspect ratio of 1.008230.
This is likely not a problem with JS or with Chrome, and is just a simple quirk with the way that our eyes perceive things.
Mini glossary:
"white box" = the viewport
"top browser ribbon" = the top part of a browser where you can access a website's URL and any open tabs
1. The browser window (as a whole) isn't square
When you are looking at the open tab's content and trying to figure out if the white box looks square, your mind is most likely including the top ribbon of the browser inside of that calculation due to how the browser window contrasts to your desktop, causing your eyes to think that the white box isn't square, instead of your eyes thinking that the whole browser window with the top ribbon isn't square.
If you try replicating the same experiment with a blank blue square div inside the body, the blue square will appear square to your eyes due to the contrast from the blank body.
2. The sizing and positioning of the text is confusing (for your eyes)
Even if you removed the top browser ribbon from your experiment somehow, it could still appear non-square due to the confusingly-positioned text.
Since the text is short and wide and contrasting, it causes your eyes to draw an imaginary box around the text which your eyes don't perceive as part of the white box. Then, when your eyes exclude the imaginary box during the white box measuring, your eyes naturally only measure the space directly surrounding the imaginary box. This means that your eyes measure the space above and below the imaginary box, take that as the white box's height, and then your eyes measure the space to the left and to the right of the imaginary box, and then take that as the white box's width.
The image below should make what I just described more clear: diagram explaining how our eyes perceive the width and height of the white box
As you can see, the yellow box is the imaginary box that your eyes form, and then the arrows are how your eyes instinctively calculate the dimensions without the imaginary box.
Adding the lengths of the green arrows will get you a shorter length than the sum of the lengths of the cyan arrows, therefore your eyes naturally perceive the width to be less then the height.
I suspect that what is happening is that you (we - as that is my case too) all have an intel processor with integrated graphics that supports Vulkan instruction set... well LM Studio seems to try to use it as a graphic card.
And depending on which device it tries to put the neural network on (and the size of the prompt wrt VRAM) it just fails.
So, the fix is easy, go into the configuration of your runtime, get into the Hardware tab and switch off the integrated graphics. (see the disabled toggle on the GPU section next to the Intel UHD graphics)
Sorry to jump in on an older post but I figured out what I assume is the correct way to do it, download cudaNN from the NVIDIA site https://developer.nvidia.com/cuda-toolkit-70 and then extract it into the bin directory in the correct cuda install that you ate using eg C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.0\bin
Helped me, hoping it may help you or others:
In my case the powershell restrictions was the fault:
1. Check if the powershell path is present and correct (in system variables path)
2. Check if the group policy editor allows to run powershell scripts - this was my issue.
I do not know if I have to expand my answer any further on how to do each step because it can be googled easy. If you want me to explain - I may try :)
:- JS Orders the key according to its rules here are the permutation of Data types and there answers
Positive Numbers ( including 0) are arranged in ascending order
Negative Numbers are sent at the end in order they were appeared first after all Positives are arranged in ascending order
Combination of Number and string(not numerical) in this String will be treated like negative no. but their preference will before thus Positive, string, Negative.
Combination of Number and string(numerical) in this String will be treated the way they are written written ex '2' will be treated as Number meanwhile '-2' will be treated as Negative is treated
Only String will be placed as they appear with no changes and since symbols are placed as strings they acts the same
Your struct does not contain 2 arrays of strings but 2 arrays of chars, so basically two strings. If you want a string array, you need to create a char[n][MAX], where n is the ammount of strings and MAX the length of each string. Pointing to the Nth title would look like this:
char* title = books->title[n];
/** @type {import('next').NextConfig} */
const nextConfig = {
images: {
remotePatterns: [
{
protocol: 'https',
hostname: 'i.ibb.co',
},
],
},
};
export default nextConfig;
i face the same problem. i add this config and it is working now. you should add the hostname
have you tried just getting the magnitude of two positions that have been offset away from the center line then just choosing the point with a smaller magnitude
I suggest registering an interceptor that overwrites the findDirty Method. From then on, the is a few things I can imagine. Judge yourself which one helps and which one is too dirty :-)
first idea: Just use it for logging debug information. Compare the current and previous state and log it
second idea: My guess is that the collection is considered dirty, maybe because of ordering.... who knows? So maybe make a custom implementation to check for changes
third idea: Maybe you could just not go the route of @PrePersist callback method, but actually set the audit fiels in the interceptor. If it's dirty, then set the 2 fields.
would love to hear feedback if the third idea works.
Did anyone find a reliable fix for this, or are these simply bugs we have to wait to get fixed from Apple?
This drift in viewport during scroll for position fixed top and bottom bars it seems really hard to workaround right now, I always get gaps and cant find a stable solution here.
Also full screen overlays are terrible to handle too, there I now get a complete clear view of the page below
It's not the best, nor a guaranteed fix, but I noticed that sometimes Latex (or at least Overleaf?) gets confused when I copy in toomany sources or an entire .bib file at once. It sometimes worked when I copied in the sources in little bunches of around 5 sources per copy/paste.
There are multiple issues & bugs as far as I can tell:
Position: fixed top and bottom toolbar start to drift as you scroll.
editing in text boxes (inputs are better, textareas much worse) causes conflicts as it turns off fixed positions and sometimes they are there although not visible.
side menus often get cut - a fixed position scrollable side navbar typically gets cut off right above the URL line, but the background continues to be translucent all the way down to the bottom of the screen. This really looks aweful.
top and bottom backgrounds randomly become solid (instead of translucent) to try and compensate for the position:fixed items.
Overall, I have to say this is the buggiest release of Safari for quite a few years now...
A single desk is a perfect solution for compact workspaces, offering a clean and organized area for productivity. Its sleek design saves space while providing enough surface for essentials. Ideal for home offices, study rooms, or small workplaces
The lint is warning because you are taking a mutable reference to a const item in order to call a method that requires &mut self. That mutable reference is to a fresh temporary copy of the const value (the NonNull), not to the original const item. In your specific pattern, that borrowed temporary is only used to manufacture a &'_ mut T pointing at 0x1234, so the const itself is not being mutated. The real risk is the usual unsafe aliasing/validity obligations of turning a raw address into a mutable reference.
The builtin lint CONST_ITEM_MUTATION warns whenever you mutate-through or take &mut of a const item, because const items are inlined: each use creates a temporary copy. The notes in the lint text are exactly what you see (“each usage of a const item creates a new temporary … the mutable reference will refer to this temporary, not the original const item”). See the lint docs in the compiler source:
Definition and explanation: compiler/rustc_lint_defs/src/builtin.rs (CONST_ITEM_MUTATION)
MIR pass that emits it: compiler/rustc_mir_transform/src/check_const_item_mutation.rs (it matches taking a mutable borrow of a const and, if used as a method receiver, shows the method span)
NonNull::as_mut takes &mut self and produces &'a mut T. The &mut self you form is to a temporary NonNull copy (as the lint says), which is fine. You are not mutating the const item; you’re only using that temporary to create a reference to the pointee.
The unsafety is elsewhere: by calling as_mut you promise that 0x1234 is properly aligned, dereferenceable, and uniquely borrowed for the duration of the &'_ mut T (no aliases). That’s the part you must uphold.
A proxy pool is required for you. It is easy to build based on free proxy lists. if it doesn't work for you, get more lists from "free proxy list github" in google.
Ваш код приводит к бесконечной рекурсии, потому что:
При создании Property(name='myprop') вызывается Property.__init__, который наследует от NamedElement и вызывает NamedElement.__init__.
В NamedElement.__init__ создаётся self.name = Property(name=kwargs.get('name')), что снова вызывает Property.__init__, и цикл повторяется.
Это классическая проблема, когда базовый класс пытается создать атрибут как экземпляр подкласса. Прямой паттерн для этого не существует (как я упоминал ранее), но есть "умные" способы её решить с помощью отложенной инициализации (lazy initialization), фабричного метода или создания экземпляра без вызова __init__ (чтобы избежать рекурсии).
Решение: Отложенная инициализация с флагом
Мы можем модифицировать NamedElement, чтобы он создавал self.name только если это не приведёт к рекурсии. Используем флаг для отслеживания, и object.__new__ для создания экземпляра Property без вызова __init__.
class NamedElement:
def __init__(self, **kwargs):
if not hasattr(self, '_name_created'): # Флаг для предотвращения рекурсии
self._name_created = True
# Создаём экземпляр Property без вызова __init__ (чтобы избежать рекурсии)
self.name = object.__new__(Property)
# Инициализируем его вручную, если нужно (например, установим имя)
if 'name' in kwargs:
self.name._init_name(kwargs['name']) # Кастомный метод для инициализации
class Property(NamedElement):
def __init__(self, **kwargs):
super().__init__(**kwargs)
# Дополнительная логика для Property
self.value = "Я - свойство"
def _init_name(self, name_value):
# Кастомная инициализация для имени (без рекурсии)
self.name_value = name_value
# Тестирование
myprop = Property(name='myprop')
print(type(myprop.name)) # <class '__main__.Property'>
print(myprop.name.name_value) # myprop
print(myprop.value) # Я - свойство
print(myprop is myprop.name) # False (разные объекты)
Объяснение:
Флаг _name_created: В NamedElement.__init__ проверяется, был ли уже создан self.name. Если нет, создаётся экземпляр Property с помощью object.__new__(Property) — это создаёт объект без вызова __init__, предотвращая рекурсию.
Кастомная инициализация: После создания объекта мы вручную устанавливаем его атрибуты через _init_name, чтобы избежать повторного вызова __init__.
Результат: myprop.name становится экземпляром Property, но без бесконечного цикла. Property может иметь свои собственные атрибуты (например, value).
Альтернативное решение: Фабричный метод
Если хотите более явный контроль, используйте фабричный метод в NamedElement, который подкласс может переопределить:
class NamedElement:
def __init__(self, **kwargs):
self.name = self.create_name(**kwargs)
def create_name(self, **kwargs):
# По умолчанию возвращает None; Property переопределит это
return None
class Property(NamedElement):
def __init__(self, **kwargs):
super().__init__(**kwargs)
self.value = "Я - свойство"
def create_name(self, **kwargs):
# Создаём экземпляр Property без рекурсии
name_obj = object.__new__(Property)
if 'name' in kwargs:
name_obj.name_value = kwargs['name']
return name_obj
# Тестирование
myprop = Property(name='myprop')
print(type(myprop.name)) # <class '__main__.Property'>
print(myprop.name.name_value) # myprop
Объяснение:
NamedElement делегирует создание self.name методу create_name.
Property переопределяет create_name, создавая экземпляр Property с object.__new__ (без __init__), и устанавливая атрибуты вручную.
Это гибче, если у вас много подклассов с разной логикой создания атрибута.
I also got this error when I did it directly in the browser, but when I tried again with curl, the error did not occur. Not sure if this is a new upgrade of Telegram
JavaFX has different selectors and some of web css doesnt work with it. Problem is the Javafx css engine doesn’t support structural pseudo-classes, so javafx just ignore it. You should set CellFactory where you by index decide, here solution i guess:
myComboBox.setCellFactory(lv -> new ListCell<String>() {// Here you have one method and there set your behaviour np check + by f/s index apply styles})
You can’t directly use an Office 365 COM component without having Office installed, because those COM libraries (Excel, Word, Outlook, etc.) are tied to the Office installation itself. They aren’t standalone redistributable components.
If you want to work with Office files without installing Office, here are a few alternatives:
Use the Open XML SDK – lets you create, edit, and read Office documents programmatically without relying on COM.
Interop via Office Online / Graph API – if you’re on Microsoft Office 365, you can interact with Word/Excel files through cloud APIs instead of COM automation.
Third-party libraries – for example, libraries like EPPlus or ClosedXML (for Excel) allow you to manipulate spreadsheets without Office installed.
Install the Office runtime (if available) – older versions of Access had a runtime that could be deployed separately, but for full Excel/Word automation you generally need Office itself.
So short answer: COM automation requires Office on the machine. If you can’t install it, switch to OpenXML or another library depending on your use case.
Eventually I opened a support case at Azure and got the response that MI is not supported for BULK INSERT into temporary tables on Azure SQL.
I found a workaround, however. If you can live with the databases accessed by an account with SA permissions, you can add your MI into the role which is made SQL Admin in the server settings. Not a recommended approach, though.
int birthday;
int age;
int YearOfBirth;
Scanner keyboard = new Scanner( System.in);
System.out.println(" What is your +Age ?");
age = keyboard.nextInt();
YearOfBirth= 2006 - age;
System.out.println("I was born :+ YearsOfBirth.");
It looks like you're spying on a method that isn't actually implemented. You have spy(hashPassword, "thisThingEitherDoesntExistOrDoesntReferenceAnything")
The first argument is fine, because it references the class. The second argument should be the name of the function. The nuance here is that the function you're intending to mock is the constructor of the hashPassword class.
Whether or not you can actually do this without a workaround is beyond my depth of js knowledge, but you can search for something like below
I think that is not possible, once you make it in PDF file it is now digital which readable on screen and there still no technology that provides "Print to File" hook.
Documenting the question led me to approach it from the other direction, this is probably better as it avoids the string conversions, and may be the best way optimal:
if checkSum == 16*(int)bytdata[j+1])+(int)bytdata[j+2] {
Try BYROW and BYCOL. That's what I use to iterate through an array. Sometimes, I also use MAKEARRAY. It essentially creates a 2d iterator of the size of your choosing. With these, you can almost do everything that a for loop will let you do. I haven't found anything similar to while loops.
To fix the issue, first open the necessary ports in the EC2 Security Group to allow HTTP and HTTPS traffic. Then, check the Nginx and PM2 settings to ensure the paths and timeouts are configured correctly. Make sure SSL and DNS (Route53) are properly set up and that there are no network restrictions on your side. Finally, test the server connection using tools like curl or wget.
I was facing the same issue: requests to the Telegram API (sendMessage, getUpdates) failed in Chrome with a network error or a 400 Bad Request, but worked in firefox, postman, or via cURL.
I found a workaround routing the API request through a proxy server.
For now is the only option I found to make it work in chromium-based browsers
I think CloudWatch reports CPU usage in CPU units and averages it over time windows like one minute, which causes short spikes to be lost. In contrast, Datadog shows usage in real time as a percentage relative to vCPUs, so it can capture peaks like 223%. That’s why CloudWatch numbers usually look lower, while Datadog reflects a more accurate view of actual CPU usage.
It could be that you have deselected 'messages' on the left, under 'top'. I fixed mine immediately, reselected it. See the attached screenshot. Thanks.
I had this problem too which was caused by the Jupyter Notebook extension. The extension host would crash whenever I tried to run a cell. The steps I took to fix were:
switch to pre-release version of ms-toolsai.jupyter
uninstall ms-toolsai.jupyter
reinstall ms-toolsai.jupyter
switch to an older version (2025.2.0)
restart vscode
Not sure if directly switching to the older version will fix things.
I didn't use extension bisect because the Jupyter Notebook extension had to be enabled for the crash to happen.
The core issue is that Directory.GetCurrentDirectory() returns different paths in local development vs. Azure deployment, and your configuration file isn't being included in the deployment package.
The statement on the learncpp.com website is correct in principle, and your experimental results, while seemingly contradictory, can be explained by a technical detail of C++ streams and how they are typically configured.
The primary reason you observed std::cerr to be faster than std::cout is most likely due to a feature called synchronization with C standard I/O. By default, C++ streams (std::cout, std::cin, etc.) are synchronized with their C counterparts (stdout, stdin, etc.). This synchronization ensures that if you mix C and C++ I/O functions (e.g., printf and std::cout) in the same program, the output will appear in the correct order.
This synchronization, however, comes with a significant performance penalty. It effectively forces a flush of the std::cout buffer after every operation to ensure all data is immediately written out. In this default configuration, std::cout behaves more like std::cerr in that it does not fully utilize its buffer for performance.
Since std::cerr is an unbuffered stream by default and is not tied to stdout in the same way, it bypasses this synchronization overhead, which is why it appeared faster in your tests.
Buffering and Performance
The statement from learncpp.com is based on the general principle of I/O buffering. When you disable the synchronization, std::cout can buffer its output, allowing the operating system to write a large chunk of data to the console in a single, efficient operation, which is much faster than the numerous, individual write calls required by an unbuffered stream like std::cerr.
For a program that performs a very large number of I/O operations, such as a competitive programming solution or a data processing script, you can dramatically increase the performance of std::cout by adding the following line at the beginning of your main function:
std::ios_base::sync_with_stdio(false);
This line disables the synchronization, allowing std::cout to fully utilize its buffer and perform significantly faster than std::cerr for bulk output.
Your program was not complex enough to demonstrate the full performance potential of std::cout because the default synchronization setting was hindering its performance. The experiment you conducted highlights a common performance trap for C++ programmers who are new to the language.
At this point of time, it is not possible to run test on Android device using Playwright-Java. Referring to this PR it looks like they have no motivation to bring this capability in Java binding of Playwright.
Is annoying, because with Playwright-NodeJs it is possible to run tests on Android and iOS.
Further complimenting the other two answers, you can even put the css in a separate file and include a css argument in your yaml !!
in your quarto file:
---
title: "How to justify text in Quarto"
format: html
engine: knitr
css: main.css
---
## Quarto
Quarto enables you to weave together content and executable code into a finished document. To learn more about Quarto see <https://quarto.org>.
Quarto is based on Pandoc and uses its variation of markdown as its underlying document syntax. Pandoc markdown is an extended and slightly revised version of John Gruber's Markdown syntax and Markdown is a plain text format.
Markdown is a plain text format that is designed to be easy to write, and, even more importantly, easy to read:
Markdown is a plain text format that is designed to be easy to write, and, even more importantly, easy to read:
then in your main.css (or whatever you want to call it)
in the Cal.com monorepo the Prisma schema lives in the @calcom/prisma workspace (e.g. packages/prisma/schema.prisma), not at repo-root prisma/schema.prisma. running npx prisma generate --schema=./prisma/schema.prisma from the repo root will not work because the file doesn’t exist there.
had wrong site urls in wp_blogs, wp_site and wp_options made a multisite on my localhost and in production i had written example.com instead of example.com/abc/ since in localhost i used localhost/abc/
did you find the solutions for the pc not booting in windows? I have the same problem. And you can look in the user by typing dir C:\Users . From there you see everything and i guess you can copy and delete etc. and you can change the directory by just typing C: in X: without cd.
Reasons:
Blacklisted phrase (1): I have the same problem
RegEx Blacklisted phrase (3): did you find the solution
Low length (0.5):
Has code block (-0.5):
Me too answer (2.5): I have the same problem
Contains question mark (0.5):
Unregistered user (0.5):
Single line (0.5):
Starts with a question (0.5): did you find the solution
From the comments, I realized maybe it is just outdated library issue, aaand it was. I changed my project from .net 6.0 to .net 8.0 and updated libraries accordingly then the code works fine. Thanks "President James K. Polk" and "Progman" for comments
It could be that you have deselected 'messages' on the left, under 'top'. I fixed mine immediately, reselected it. See the attached screenshot. Thanks.
