I3-master-layout - Simple master and stack layout script

Related tags

Deep Learningi3-master-layout
Overview

Simple master and stack layout script

| ------ | ----- |
|        |       |
| Master | Stack |
|        |       |
| ------ | ----- |

  • auto split 2nd window on workspace level to provide a vertical stack

  • put new windows at the end of the workspace tree

  • swap focused window with the master window (first window on current workspace tree) i3-swap-master.py

  • works independant from i3 state (no permanent marks required to keep track)

master-layout

Install

Install python 3 and install i3ipc libary

pip3 install i3ipc

Clone this repo and copy the scripts in any folder you like.

Example

git clone https://github.com/Hippo0o/i3-master-layout
cd i3-master-layout
cp i3-master-layout.py i3-swap-master.py i3-swallow-stack.py ~/.i3

Usage

bindsym $mod+r exec --no-startup-id $HOME/.i3/i3-swap-master.py

exec_always --no-startup-id $HOME/.i3/i3-master-layout.py

Options

$ ./i3-master-layout.py -h
Options:
  -h, --help            show this help message and exit
  -e ws1,ws2,.. , --exclude-workspaces=ws1,ws2,..
                        List of workspaces that should be ignored.
  -o HDMI-0,DP-0,.. , --outputs=HDMI-0,DP-0,..
                        List of outputs that should be used instead of all.
  -n, --nested          Also move new windows which are created in a nested container.

TODO

  • fix stack behaviour when master window is closed
  • make stack layout configurable (stacked, tabbed, splith, splitv)

Swallow

Additionally there is a simple script i3-swallow-stack.py which enables a simple swallow mechanism by utilizing the stack/tabbed layout default to i3.

Options

$ ./i3-swallow-stack.py -h
usage: i3-swallow-stack.py [-h] [-d] [-t] cmd [cmd ...]

i3-swallow-stack

positional arguments:
  cmd         Command to be executed

options:
  -h, --help  show this help message and exit
  -d          Don't move window back to original parent on exit.
  -t          Use i3's tabbed layout instead of stack.

Tip: if a cmd needs to use the same flags run it like this ./i3-swallow-stack.py [-d] [-t] -- cmd [-d] [-t]

Example

./i3-swallow-stack.py feh ...

swallow

Owner
Tobias S
Tobias S
GitHub Repository
Predicting a person's gender based on their weight and height

Logistic Regression Advanced Case Study Gender Classification: Predicting a person's gender based on their weight and height 1. Introduction We turn o

1 Feb 01, 2022
Pytorch implementation for our ICCV 2021 paper "TRAR: Routing the Attention Spans in Transformers for Visual Question Answering".

TRAnsformer Routing Networks (TRAR) This is an official implementation for ICCV 2021 paper "TRAR: Routing the Attention Spans in Transformers for Visu

Ren Tianhe 49 Nov 10, 2022
Deep Markov Factor Analysis (NeurIPS2021)

Deep Markov Factor Analysis (DMFA) Codes and experiments for deep Markov factor analysis (DMFA) model accepted for publication at NeurIPS2021: A. Farn

Sarah Ostadabbas 2 Dec 16, 2022
[ ICCV 2021 Oral ] Our method can estimate camera poses and neural radiance fields jointly when the cameras are initialized at random poses in complex scenarios (outside-in scenes, even with less texture or intense noise )

GNeRF This repository contains official code for the ICCV 2021 paper: GNeRF: GAN-based Neural Radiance Field without Posed Camera. This implementation

Quan Meng 191 Dec 26, 2022
👨‍💻 run nanosaur in simulation with Gazebo/Ingnition

🦕 👨‍💻 nanosaur_gazebo nanosaur The smallest NVIDIA Jetson dinosaur robot, open-source, fully 3D printable, based on ROS2 & Isaac ROS. Designed & ma

nanosaur 9 Jul 19, 2022
Neural Factorization of Shape and Reflectance Under An Unknown Illumination

NeRFactor [Paper] [Video] [Project] This is the authors' code release for: NeRFactor: Neural Factorization of Shape and Reflectance Under an Unknown I

Google 283 Jan 04, 2023
ZSL-KG is a general-purpose zero-shot learning framework with a novel transformer graph convolutional network (TrGCN) to learn class representation from common sense knowledge graphs.

ZSL-KG is a general-purpose zero-shot learning framework with a novel transformer graph convolutional network (TrGCN) to learn class representa

Bats Research 94 Nov 21, 2022
Generating Band-Limited Adversarial Surfaces Using Neural Networks

Generating Band-Limited Adversarial Surfaces Using Neural Networks This is the official repository of the technical report that was published on arXiv

3 Jul 26, 2022
A repo for Causal Imitation Learning under Temporally Correlated Noise

CausIL A repo for Causal Imitation Learning under Temporally Correlated Noise. Running Experiments To re-train an expert, run: python experts/train_ex

Gokul Swamy 5 Nov 01, 2022
Tiny Kinetics-400 for test

Kinetics-400迷你数据集 English | 简体中文 该数据集旨在解决的问题：参照Kinetics-400数据格式，训练基于自己数据的视频理解模型。 数据集介绍 Kinetics-400是视频领域benchmark常用数据集，详细介绍可以参考其官方网站Kinetics。整个数据集包含40

38 Jan 06, 2023
Python module providing a framework to trace individual edges in an image using Gaussian process regression.

Edge Tracing using Gaussian Process Regression Repository storing python module which implements a framework to trace individual edges in an image usi

Jamie Burke 7 Dec 27, 2022
A synthetic texture-invariant dataset for object detection of UAVs

A synthetic dataset for object detection of UAVs This repository contains a synthetic datasets accompanying the paper Sim2Air - Synthetic aerial datas

LARICS Lab 10 Aug 13, 2022
Joint Discriminative and Generative Learning for Person Re-identification. CVPR'19 (Oral)

Joint Discriminative and Generative Learning for Person Re-identification [Project] [Paper] [YouTube] [Bilibili] [Poster] [Supp] Joint Discriminative

NVIDIA Research Projects 1.2k Dec 30, 2022
(Arxiv 2021) NeRF--: Neural Radiance Fields Without Known Camera Parameters

NeRF--: Neural Radiance Fields Without Known Camera Parameters Project Page | Arxiv | Colab Notebook | Data Zirui Wang¹, Shangzhe Wu², Weidi Xie², Min

Active Vision Laboratory 411 Dec 26, 2022
An LSTM for time-series classification

Update 10-April-2017 And now it works with Python3 and Tensorflow 1.1.0 Update 02-Jan-2017 I updated this repo. Now it works with Tensorflow 0.12. In

Rob Romijnders 391 Dec 27, 2022
Python package for covariance matrices manipulation and Biosignal classification with application in Brain Computer interface

pyRiemann pyRiemann is a python package for covariance matrices manipulation and classification through Riemannian geometry. The primary target is cla

447 Jan 05, 2023
Learning Optical Flow from a Few Matches (CVPR 2021)

Learning Optical Flow from a Few Matches This repository contains the source code for our paper: Learning Optical Flow from a Few Matches CVPR 2021 Sh

Shihao Jiang (Zac) 159 Dec 16, 2022
TorchMD-Net provides state-of-the-art graph neural networks and equivariant transformer neural networks potentials for learning molecular potentials

TorchMD-net TorchMD-Net provides state-of-the-art graph neural networks and equivariant transformer neural networks potentials for learning molecular

TorchMD 104 Jan 03, 2023
Code for GNMR in ICDE 2021

GNMR Code for GNMR in ICDE 2021 Please unzip data files in Datasets/MultiInt-ML10M first. Run labcode_preSamp.py (with graph sampling) for ECommerce-c

7 Oct 27, 2022
A PyTorch implementation of EfficientDet.

A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights

Ross Wightman 1.4k Jan 07, 2023