explosion | Command line image viewer with support | Command Line Interface library
kandi X-RAY | explosion Summary
kandi X-RAY | explosion Summary
Command line image viewer which supports 24-bit (16 million) colors, much based upon the post by maato. The implementation in that post is however only with 256 colors while a bunch of terminal emulators has support for True Colors, so I had an attempt at reimplementing the same but with more colors. That's also where the name comes from, as this is more of an explosion of colors, compared to maato's implementation.
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Top functions reviewed by kandi - BETA
- main entry point
- Print image .
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QUESTION
ANSWER
Answered 2021-Jun-12 at 06:42The SpaCy tokenizer seems to cache each token in a map internally. Consequently, each new token increases the size of that map. Over time, more and more new tokens inevitably occur (although with decreasing speed, following Zipf's law). At some point, after having processed large numbers of texts, the token map will thus outgrow the available memory. With a large amount of available memory, of course this can be delayed for a very long time.
The solution I have chosen is to store the SpaCy model in a TTLCache and to reload it every hour, emptying the token map. This adds some extra computational cost for reloading the SpaCy model from, but that is almost negligible.
QUESTION
This question is in the context of adding a language to the spaCy v2 library, but it may be a generic python packaging question.
In spaCy, languages are subclasses of a Language
base class, and much of the tooling expects a given language to be placed in a normatively named package (e.g. spacy.lang.en
for english).
There are various ways arount this requirement (for example, @spacy.registry.languages
), but this usually entails a few tradeoffs (e.g. you have to import some code first to register your classes and then it's all fine, but when you have tooling like custom scripts, prodigy
recipes, libraries, ... that do not allow you to "inject" custom imports or have their own way of doing so, this does not work - or is generally error prone). I'd be happy to hear about suggestions for easing this out if there is a way.
So I thought I'd just put my language where spaCy expects it, and I'd be fine. Creating a language subclass is documented enough.
So I bootstraped a library :
...ANSWER
Answered 2021-May-31 at 11:46Be sure to follow the v2 docs for spaCy v2 since there are a number of differences. (The registry decorators are new in v3).
spaCy v2 supports entry points for custom languages: https://v2.spacy.io/usage/saving-loading#entry-points
Your package will have its own name (not spacy
) and you can add a custom language in spaCy v2 by adding an entry point under spacy_languages
in setup.py
:
QUESTION
I had done a pip freeze and one of the line in requirement file is a git repo as en-core-web-lg @ https://github.com/explosion/spacy-models/releases/download/en_core_web_lg-2.2.5/en_core_web_lg-2.2.5.tar.gz
I have tried installing it with
...ANSWER
Answered 2021-May-26 at 14:19You can do:
QUESTION
Reproducible example:
...ANSWER
Answered 2021-May-25 at 11:37you can stack
and then explode
:
QUESTION
I'm solving a MILP problem with CPLEX called from Julia JuMP package. In CPLEX log the number of solutions is displayed to be more than 3000, but there is the parameter CPXPARAM_MIP_Limits_Solutions set to 55, so the solver should return when the number of solution is more than 55. The explosion of the number of solution causes an out of memory error, therefore the Linux kernel kills the process.
This is the log:
...ANSWER
Answered 2021-May-22 at 16:09The number of solutions is very likely not the reason for the out-of-memory error. It's the size of the branch-and-bound tree and the number of nodes that need to be stored and processed. You should try limiting the number of threads that are used to reduce the memory footprint.
Furthermore, there aren't that many proper solutions found. For every new incumbent you see a marker (*
or H
) at the beginning of the respective line, e.g.,
QUESTION
in this the gif link doesnt load, I tried adding .gif
in the end but that too dont work
ANSWER
Answered 2021-May-18 at 09:56Tenor, seemingly, does not allow linking directly to the .gif
file, even when using "Open image in new tab" in a desktop browser. It instead opens Tenor's UI with a small viewer.
Look for direct links to images that you wish to send. GIF providers often do not provide direct links.
You can either try to use the Tenor API to get the direct link, or download the GIF file and send it directly. You could also download the GIF and re-upload it onto another image host which allows sending and directly linking to GIFs.
Note that some hosts like Imgur convert GIF files into short, looping videos in MP4 format. Although, for Imgur specifically, you can get the direct link by right-clicking, selecting "Open video in new tab", and replacing the .mp4
suffix with .gif
.
QUESTION
https://codepen.io/thatfemicode/pen/MWpwaRQ
https://twitter.com/P_h_l_i_x/status/1353659923834544128
Evening, after much though and hands on, i came up with a solution, but still not okay with what i have, i am trying to make this exact thing as shown in the influencers section in the TWITTER link of the page below See how each loop changes class to the class of the previous element before leaving the viewport, how can i achieve that? thanks, any advice will be much appreciated
...ANSWER
Answered 2021-May-16 at 10:17A solution to this can be found on the codepen.io after an improvement was made on the code by someone from GSAP and I also added my modifications.
https://codepen.io/thatfemicode/pen/OJpNXEr
HTML
QUESTION
I have searched and searched. I was able to find this git repository that puts a thinc model as a relationship extractor pipeline in spacy. I need to add my NER model which is implemented using Tensorflow as a Spacy pipeline and I don't know what is the difference between adding a custom model implemented using thinc and with TensorFlow?
...ANSWER
Answered 2021-May-05 at 08:52Just to clarify: the repository you linked does not showcase a Pytorch model for relation extraction in spaCy - in fact it uses the ML library Thinc to implement the model. You can find more details on that in the corresponding video tutorial.
The key point to remember is that spaCy works with Thinc models under the hood, but Thinc provides wrappers for Pytorch and Tensorflow.
To use those in spaCy, you can follow the documentation here. In a nutshell, you should be able to do something like this:
QUESTION
I have an issue where i need to call some variables in more than one function and can not get them to declare in the game_loop() function. The variables are called outside of the game_loop function but the variables are also being called into other functions. How can I get the variables to call in the game_loop function and all other functions that call them as well?
Please see code below:
...ANSWER
Answered 2021-May-08 at 02:50If what you need is to be able to use a global variable in a function all you need is the keyword global.
QUESTION
I was trying to make a Minecraft plugin while having this problem, but I thought this would be more of a Java discussion
So I tried to make a spawner that would spawn a chicken every second (for testing, it would become every minute when I'm done), but while I was testing the event doesn't seem to run (because TimeUnit.SECONDS.sleep()
would block the MC thread). So may I have an alternative?
The delay I'm using as for now is TimeUnit.SECONDS.sleep(*insert some number here*);
As shown here:
Note: I already tried using setTaskTimer
and scheduleSyncRepeatingTask
as shown in the answers, but they didn't seem to work. Is this an event issue or a spawnEntity
issue?
ANSWER
Answered 2021-May-04 at 11:24You should use Bukkit.getScheduler().scheduleSyncRepeatingTask(...)
in place of that for loop and TimeUnit.SECONDS.sleep
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