termcolor | Detects whether a terminal supports colors | Command Line Interface library

by efekarakus Go Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | termcolor Summary

termcolor is a Go library typically used in Utilities, Command Line Interface, Nodejs applications. termcolor has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Detects what level of color support your terminal has. This package is heavily inspired by chalk's support-color module.

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Support

termcolor has a low active ecosystem.

It has 24 star(s) with 3 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 2 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of termcolor is current.

Quality

termcolor has no bugs reported.

Security

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

License

termcolor 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

termcolor releases are not available. You will need to build from source code and install.

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

Top functions reviewed by kandi - BETA

kandi has reviewed termcolor and discovered the below as its top functions. This is intended to give you an instant insight into termcolor implemented functionality, and help decide if they suit your requirements.

SupportLevel returns the level for the given file descriptor .
lookupCI looks up the minimum level for CI
windowsLevel returns the current system s level .
forceColorValue returns the color of the color .
hasFlag returns true if the given flag exists .
lookupMacOS looks for a Mac OS .
minLevel returns the minimum level .
hasDisabledFlag returns true if the option is disabled
has16MFlag returns true if there is a 16 - m flag .
indexOf returns the index of element s .

Get all kandi verified functions for this library.

termcolor Key Features

No Key Features are available at this moment for termcolor.

termcolor Examples and Code Snippets

No Code Snippets are available at this moment for termcolor.

Community Discussions

Trending Discussions on termcolor

Keras logits and labels must have the same first dimension, got logits shape [10240,151] and labels shape [1], sparse_categorical_crossentropy

EXP system for adjusting instance attributes in Python (text-based RPG)

module 'tensorflow._api.v1.compat.v2' has no attribute '__internal__' google colab error

Issue of installing tensorflow 1.15 with python 3.7.7

Jupyter notebook not recognizing packages in venv

PythonVirtualenvOperator using airflow module fails to execute with AttributeError: module 'airflow' has no attribute 'utils'

How would I tell if my user has focus on the terminal?

How to check for a character in an input while it's being written?

Why my winner check function does not work correctly?

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

QUESTION

Keras logits and labels must have the same first dimension, got logits shape [10240,151] and labels shape [1], sparse_categorical_crossentropy

Asked 2021-Jun-10 at 13:36

I'm trying to create a Unet for semantic segmentation.. I've been following this repo that has the code from this article. I'm using the scene parsing 150 dataset instead of the one used in the article. My data is not one-hot encoded so I'm trying to use sparse_categorical_crossentropy for loss.

This is the shape of my data. x is RGB images, y is 1 channel annotations of categories (151 categories). Yes, I'm using just 10 samples of each, just for testing, this will be changed when I can actually get it to start training.

...

ANSWER

Answered 2021-Jun-10 at 13:36

As per Dominik Ficek's comment

Source https://stackoverflow.com/questions/67919303

QUESTION

EXP system for adjusting instance attributes in Python (text-based RPG)

Asked 2021-Jun-05 at 21:23

I have recently begun programming in Python and decided to start my journey by writing a text-based RPG. The issue that I have now stumbled upon is that I was trying to create an EXP-system to make the character's stats dependent on their level, but it doesn't seem to work the way I want it to. While I have achieved to change the character's level based on their EXP, it does not seem to affect the other instance's values (i.e. health, strenght etc.).

First, I defined the class "Player" which is a child class:

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ANSWER

Answered 2021-Jun-05 at 21:23

Your class variables retain the value you initialized them with until you change them. You need to modify your player_level method to update the attributes on a change of level from their old values to new values.

It should look like this:

Source https://stackoverflow.com/questions/67853797

QUESTION

module 'tensorflow._api.v1.compat.v2' has no attribute '__internal__' google colab error

Asked 2021-May-29 at 01:40

I am running a tensorflow model on google colab. Today, I got this error:

...

ANSWER

Answered 2021-May-27 at 03:19

Try downgrading Python to 3.6 using this link. You need to re-install the packages you previously used.

Source https://stackoverflow.com/questions/67694895

QUESTION

Issue of installing tensorflow 1.15 with python 3.7.7

Asked 2021-May-05 at 12:50

I am trying to install tensorflow 1.15, and it's installed well. When I run again pip install tensorflow==1.15 it shows me the below screen:

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ANSWER

Answered 2021-May-05 at 12:31

The problem is that tensorflow is well installed in your machine but in which environment? for pycharm to see tensorflow, tensorflow must be installed in the same environment that pycharm uses to execute code. But if for example your pycharm is configured to execute codes in a virtual environment and tensorflow is installed in anaconda, there is has no way it works. So the simple solution that you can do is to change the environment of pycham to the environment where tensorflow is installed

Source https://stackoverflow.com/questions/67400463

QUESTION

Jupyter notebook not recognizing packages in venv

Asked 2021-Apr-22 at 06:20

This has been driving me crazy. For some reason it seems like my .ipynb file doesn't recognize the python packages in my venv. I get this error even though I've clearly installed opencv. I run into this exact same problem for dlib and imutils too.

However, when I use opevcv in a regular .py file in the save venv, it works completely fine so it's something to do with .ipynb (Jupiter Notebooks).

I have tried pip3 install opencv-python

Note: I am pretty sure I have selected the correct venv when running my .ipynb file.

The output I get when I run !pip list in the Jupyter Notebook (which includes opencv-python):

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ANSWER

Answered 2021-Apr-22 at 05:46

Try changing kernels. (Check on the image in the URL for guidance). If your venv is not in the list, you should add it manually. Follow this guide to add your venv

Source https://stackoverflow.com/questions/67207286

QUESTION

PythonVirtualenvOperator using airflow module fails to execute with AttributeError: module 'airflow' has no attribute 'utils'

Asked 2021-Apr-19 at 16:33

I have Airflow deployed in virtual env and in case I try to execute PythonVirtualenvOperator with import of the Airflow module (to get Variables for example) it gives me the AttributeError. Guess I do not fully understand how Airflow executes VirtualenvOperator, and therefore what to do to overcome it, so any suggestions and insights will be highly appreciated

My test DAG code

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ANSWER

Answered 2021-Apr-19 at 16:29

It seems that you are confusing the use-cases for PythonVirtualenvOperator and PythonOperator.

If you simply want to run a Python callable in a task (callable_virtualenv() in your case) you can use PythonOperator. In this case, it does not matter if you installed Airflow in a virtual environment, system wide, or using Docker.

What happens in your code is the following: PythonVirtualenvOperator creates another virtual environment (which is completely unrelated to the one in which you run Airflow), installs Airflow into it, and tries to import Variable. But this another Airflow installation is not configured and that is why you get those exceptions. You could set the AIRFLOW_HOME environment variable for this second Airflow installation to the same directory as used by the first Airflow installation, and this should actually work, but it looks like an overkill to me.

So, what you can do is install colorama into the same environment in which you installed Airflow and replace PythonVirtualenvOperator by PythonOperator.

BTW, those print() inside the callable would be redirected into a log file and not printed to terminal, so it probably does not make much sense to use colorama with them.

Source https://stackoverflow.com/questions/67165003

QUESTION

How would I tell if my user has focus on the terminal?

Asked 2021-Apr-17 at 16:50

I am creating a chat room application using a CLI over a GUI, and I am on windows so I just use the default terminal in command prompt to run my code. My program detects individual key presses and then adds them to a list in my data class, which, when joined, creates the user's message. The only problem I'm having here is that the program records keypresses even when it is not in focus. Is there any way I can detect if the terminal is in focus or not so I can handle keypresses appropriately? What I have here at the moment is essentially an accidental keylogger of sorts.

My code (although not useful to the question I feel I should add it just in case):

...

ANSWER

Answered 2021-Apr-17 at 16:50

import ctypes

def getWindow():
    hwnd = ctypes.windll.user32.GetForegroundWindow()
    length = ctypes.windll.user32.GetWindowTextLengthW(hwnd)
    buff = ctypes.create_unicode_buffer(length + 1)
    ctypes.windll.user32.GetWindowTextW(hwnd, buff, length + 1)
    return (buff.value, hwnd) # buff.value is the title of the window, hwnd is the window handle

Source https://stackoverflow.com/questions/67139313

QUESTION

How to check for a character in an input while it's being written?

Asked 2021-Apr-08 at 21:47

So I'm creating a password manager, and my code is somewhat close to this, I was wondering if there's a way to check for a character inside a string while it's still being written (i.e. before the user clicks Enter), so that I can change the color of the line that says "An uppercase character" to green when the user inputs an uppercase character, and goes back to original character if the user deletes the character.

...

ANSWER

Answered 2021-Apr-07 at 19:50

I created a solution to your problem.

This is a video showing how it works on my console >> YouTube.

You can get the whole code, organised here >> Github.

And here is explanation:

You will need to turn off console output, then capture each keypress, and at the end turn console output back on.

For this you will need from pynput.keyboard import Key, Listener, which works basically like this:

Source https://stackoverflow.com/questions/66991487

QUESTION

Why my winner check function does not work correctly?

Asked 2021-Apr-02 at 08:49

I am working on connect4 game, now I am on winner checking part, but the winnercheck function does not work correctly. How to fix that? In pycharm editor it says that the variable winner is not used even it is used. And after four same digits verticaly it is not printing who is the winner. I am not sure how to fix it. Thank you!

...

ANSWER

Answered 2021-Apr-02 at 08:49

The main issue is in these lines of code:

Source https://stackoverflow.com/questions/66916201

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

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