visdom | library use jQuery like API for html parsing | Scraper library

by fefit Rust Version: v0.5.10 License: MIT

X-Ray Key Features Code Snippets(1)Community Discussions(7)Vulnerabilities Install Support

kandi X-RAY | visdom Summary

visdom is a Rust library typically used in Automation, Scraper, Nodejs applications. visdom has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

A fast and easy to use library for html parsing & node selecting & node mutation, suitable for web scraping and html confusion.

Support

Quality

Security

License

Reuse

Support

visdom has a low active ecosystem.

It has 85 star(s) with 4 fork(s). There are 4 watchers for this library.

It had no major release in the last 12 months.

There are 0 open issues and 16 have been closed. On average issues are closed in 0 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of visdom is v0.5.10

Quality

visdom has no bugs reported.

Security

visdom has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

visdom is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

visdom releases are available to install and integrate.

Installation instructions are not available. Examples and code snippets are available.

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visdom Key Features

No Key Features are available at this moment for visdom.

visdom Examples and Code Snippets

Usage

Rust

Lines of Code : 29

License : Permissive (MIT)

Copy

use visdom::Vis;
use visdom::types::BoxDynError;

fn main() -> Result<(), BoxDynError>{
  let html = r##"
    
    
      
        
      
      
        
          
            Hello,
            Vis
            Do

Community Discussions

Trending Discussions on visdom

RuntimeError: Attempting to deserialize object on a CUDA device but torch.cuda.is_available() is False. GPU not detected by pytorch

Module installed with PIP in virtualenv not found

How do I specify a pip find-links option in a conda environment file?

SSH into Docker? or docker on SSH? and I need command

conda create -n anaconda won't install full anaconda packages

The environment is inconsistent, please check the package plan carefully - cvxopt

How do I combine values from two adjacent rows in Power Query?

QUESTION

RuntimeError: Attempting to deserialize object on a CUDA device but torch.cuda.is_available() is False. GPU not detected by pytorch

Asked 2021-Mar-21 at 16:24

Having trouble with CUDA + Pytorch this is the error. I reinstalled CUDA and cudnn multiple times.

Conda env is detecting GPU but its giving errors with pytorch and certain cuda libraries. I tried with Cuda 10.1 and 10.0, and cudnn version 8 and 7.6.5, Added cuda to path and everything.

However anaconda is showing cuda tool kit 9.0 is installed, whilst I clearly installed 10.0, so I am not entirely sure what's the deal with that.

...

ANSWER

Answered 2021-Mar-20 at 10:44

From the list of libraries, it looks like you've installed CPU only version of the Pytorch.

Source https://stackoverflow.com/questions/66711799

QUESTION

Module installed with PIP in virtualenv not found

Asked 2020-Apr-23 at 08:15

Getting a very strange error. I am making a virtual environment and initializing it with a pip requirements.txt file, but when I go to run code in the activated environment, the virtual environment interpreter claims to be missing some (and only some) of the modules:

...

ANSWER

Answered 2018-Feb-17 at 06:34

You used pip(which installs for Python 2.7) and you are trying to import the installed package in Python3 so it wont work. You should do pip3 install package-name . pip3 installs for Python3. Install pip3 using apt-get install python3-pip It will work.

Source https://stackoverflow.com/questions/48838606

QUESTION

How do I specify a pip find-links option in a conda environment file?

Asked 2020-Feb-26 at 09:17

I have a pip requirements file that includes specific cpu-only versions of torch and torchvision. I can use the following pip command to successfully install my requirements.

...

ANSWER

Answered 2020-Feb-26 at 09:17

Found the answer in the pip documentation here. I can add the find-links option to my requirements file, so my conda environment yaml file becomes

Source https://stackoverflow.com/questions/60410173

QUESTION

SSH into Docker? or docker on SSH? and I need command

Asked 2019-Nov-01 at 01:20

I'm new to DL, and docker and even not familiar with Linux and internet things (SSH and port.. DNS things.. part of them are only existing in my mind). Thus, I'd be so much happy with "specific explanation + command" (or reference sites).

My basic questions are:

what is superior concept between Docker and SSH? (running SSH on the Docker ? or running Docker on SSH? or both are possible?)
Which specific command should I use if I want to use SSH+Docker+Pytorch+Jupyternotebook+visdom ?

2-1) I run SSH first (which is my lab's server, thus I am not usually root user, so if I want to run python file here, I face with permission denied often), let say SSH address is 123.456.789.999

2-2) use docker after running ssh (however, what I found from many posts are about running docker FIRST and then access to SSH.. how's it different?)

2-2-1) so for this, I now I have to pull a image which includes pytorch, jupyternotebook. I've done it

2-2-2) I need to RUN DOCKER using image with proper COMMAND LINE. What makes me confused is here.
...

ANSWER

Answered 2019-Oct-30 at 19:51

Your question is extensive and somewhat unclear.

It's good practice here (and you'll likely receive useful responses) if you ask specific questions.

I encourage you to Google some of these topics ("What is Docker?", "What is SSH?").

That said, because you're a noob, I'm going to take a guess at what you're trying to solve.

Assuming (!) that you've a container image that includes PyTorch and Jupyter and all their dependencies, it's likely that Jupyter will serve content to you via a web server (via HTTP and I suspect) over port :8888.

If you docker run -it ... which is equivalent to docker run --interactive --tty ..., you should see log output from the process(es) running in the container. These logs should contain relevant information.

To access the Jupyter notebook once the container is running on your location workstation, you should be able to just browse http://localhost:8888.

You probably do not need to use SSH if you're running everything locally. If you are running e.g. the docker container, on a remote host, you may SSH into the remote host first, run the commands e.g. docker run... but you may alternatively simply configure your Docker client to access the remote Docker Engine.

Somewhat akin to SSH, when using Docker containers, you may execute commands in the container. But, you are able to do this using docker exec ....; you don't need to use SSH to interact with containers.

A container image has one or more statically defined ports that the container will use to expose its services (over TCP|UDP). When you run the container, you may map the container ports to different ports on your host. This may be for necessity (if the container port is already being used on your host) or just for convenience. To do this you use --publish=[HOST-PORT]:[CONTAINER-PORT]. For a given container image, you cannot change the [CONTAINER-PORT] but you may use any available [HOST-PORT]. In your example --publish=4444:8888 would mean that the Jupyter (?) service is now accessible on your local machine via localhost:4444. Docker port forwards traffic from your host's :4444 to the container's :8888.

HTH!

Source https://stackoverflow.com/questions/58631882

QUESTION

conda create -n anaconda won't install full anaconda packages

Asked 2019-Oct-21 at 02:05

I'd like to create a python3.6 env with default anaconda packages. The manual and many online resources say the command is conda create -n py36 python=3.6 anaconda. On other computers that works, but on one particular computer it only installs very few packages. I can't figure out why. I've checked $HOME/anaconda2/env and there's nothing in there. (ubuntu 16.04, installed from anaconda, not miniconda)

...

ANSWER

Answered 2018-Nov-09 at 20:04

It seems that the problem is that conda-forge appears first in the channel list. You can remove this channel with

Source https://stackoverflow.com/questions/53218303

QUESTION

The environment is inconsistent, please check the package plan carefully - cvxopt

Asked 2019-Jul-05 at 08:43

I have tried to install cvxopt for macOS Sierra 10.12.6 .

Than I have tried to solve this problem by all the tips of The environment is inconsistent, please check the package plan carefully but non of them worked and gave similar error messages like the one bellow.

I have tried:

conda clean --all [and then] conda update --all
conda update --all [only]
conda install
conda install anaconda
one by one installing the problematic packages

Main ERROR message after conda install -c anaconda cvxopt

...

ANSWER

Answered 2019-Jul-05 at 08:43

just uninstall anaconda https://docs.anaconda.com/anaconda/install/uninstall/ with all it's packages than reinstall.
if that did not work than reinstall all other package management tool.: homebrew, miniconda, pip and anaconda.

Source https://stackoverflow.com/questions/56890335

QUESTION

How do I combine values from two adjacent rows in Power Query?

Asked 2017-May-14 at 14:41

I have an address list in this format:

...

ANSWER

Answered 2017-May-14 at 14:41

Create a table with second addresses: sort AddressList on AdressType (ascending, so Delivery will come first), buffer and remove duplicates.

The rest of the code should be obvious:

Query "SecondAdresses":

Source https://stackoverflow.com/questions/43954662

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install visdom

You can download it from GitHub.
Rust is installed and managed by the rustup tool. Rust has a 6-week rapid release process and supports a great number of platforms, so there are many builds of Rust available at any time. Please refer rust-lang.org for more information.