Aaron Arredondo antikytheraton

How to cherry pick with LazyGit

I'm writing this because I found it harder than expected, but actually is super easy.

From the "Commit" panel (or the "Branches" panel) focus on a commit an press Shift + c, you can select more than one
Go to the "Commit" panel (in the "Branches" panel it doesn't work) and press Shift + v, will ask for confirmation.
DONE

NOTE On older versions, you simply had to press c and v without Shift

Click to expand!

sudo apt-get install python3-pip

sudo pip3 install virtualenv

Getting Setup: Follow the instruction on https://gym.openai.com/docs

git clone https://github.com/openai/gym
cd gym
pip install -e . # minimal install

Basic Example using CartPole-v0:

	Install pyenv on Ubuntu 18.04 + fish shell

	- Install the packages required to compile Python
	$ sudo apt-get update; sudo apt-get install --no-install-recommends make build-essential libssl-dev zlib1g-dev libbz2-dev libreadline-dev libsqlite3-dev wget curl llvm libncurses5-dev xz-utils tk-dev libxml2-dev libxmlsec1-dev libffi-dev liblzma-dev

	- Download pyenv code from github
	$ git clone https://github.com/pyenv/pyenv.git ~/.pyenv

	- Define environment variable PYENV_ROOT to point to the path where pyenv repo is cloned
	$ echo "set --export PYENV_ROOT $HOME/.pyenv" > ~/.config/fish/conf.d/pyenv.fish

	from django.core.paginator import EmptyPage, PageNotAnInteger, Paginator

	# First we create a little helper function, becase we will potentially have many PaginatedTypes
	# and we will potentially want to turn many querysets into paginated results:

	def get_paginator(qs, page_size, page, paginated_type, **kwargs):
	p = Paginator(qs, page_size)
	try:
	page_obj = p.page(page)
	except PageNotAnInteger:

	import numpy as np
	from keras import backend as K
	from keras.models import Sequential
	from keras.layers.core import Dense, Dropout, Activation, Flatten
	from keras.layers.convolutional import Convolution2D, MaxPooling2D
	from keras.preprocessing.image import ImageDataGenerator
	from sklearn.metrics import classification_report, confusion_matrix

	#Start
	train_data_path = 'F://data//Train'

	# docker build -t ubuntu1604py36
	FROM ubuntu:16.04

	RUN apt-get update && \
	apt-get install -y software-properties-common && \
	add-apt-repository ppa:jonathonf/python-3.6
	RUN apt-get update

	RUN apt-get install -y build-essential python3.6 python3.6-dev python3-pip python3.6-venv
	RUN apt-get install -y git

	#!/bin/sh
	# option 2: paste this into user-data to automate install via boot script
	# NOTE: update --label=owner=YOURNAME below if you want to easily identify yours

	# renames the host to have a suffix of alexellisio
	export original=$(cat /etc/hostname)
	sudo hostname $original-master-alexellisio
	echo $original-master-alexellisio \| sudo tee /etc/hostname

	apt-key adv --keyserver hkp://p80.pool.sks-keyservers.net:80 --recv-keys 58118E89F3A912897C070ADBF76221572C52609D