- Conda environment
- Python 3.9.0
- TensorFlow 2.7
- Bazel 3.7.2
- Protobuf 3.9.2 (must be compatible with the version of TensorFlow-built protobuf or protoc)
{ | |
"files.autoSave": "afterDelay", | |
"editor.formatOnSave": true, | |
"workbench.iconTheme": "material-icon-theme", | |
"git.autofetch": true, | |
"[json]": { | |
"editor.defaultFormatter": "vscode.json-language-features" | |
}, | |
"git.enableSmartCommit": true, |
% usage: \usepackage{color_tufte} | |
\ProvidesPackage{color-tufte}[2021/03/11 Color Tufte] | |
%%%%%%%%%%%%%%%% | |
% Requirements % | |
%%%%%%%%%%%%%%%% | |
\RequirePackage{xcolor} | |
\RequirePackage{graphicx} |
% LaTeX source for a tufte-book modified by Rangsiman Ketkaew | |
% Multiple languages support: Thai and English | |
\documentclass[fullbook,nohyper,nobib,justified,titlepage]{tufte-book} | |
\usepackage{nameref} | |
\ifxetex | |
\newcommand{\textls}[2][5]{% | |
\begingroup\addfontfeatures{LetterSpace=#1}#2\endgroup | |
} |
1. Select representation like | |
2. In display setting, turn on shadows, Amb, Occl., DOF, ... | |
3. Render image using Tachyon with, i.e., following command | |
"/home/modules/vmd/1.9.3/lib/tachyon_LINUXAMD64" -aasamples 12 vmdscene.dat -format BMP image.bmp -res 4096 4096' | |
You can incease pixels, i.e. change 4096 to 8192, to produce a higher resolution image. |
do i = 1, N | |
read(10,*) atom(i,1), coa(i,2:4) | |
end do |
import re | |
coord_pattern = re.compile( | |
r"(\w+)\s+([0-9\-\+\.*^eEdD]+)\s+([0-9\-\+\.*^eEdD]+)\s+" | |
r"([0-9\-\+\.*^eEdD]+)") |
##################################################### | |
#### FIX X Server for Displaying | |
#### https://github.com/microsoft/WSL/issues/4106#issuecomment-501532834 | |
#### | |
#### run 'cat /etc/resolv.conf' | |
#### Then set DISPLAY to an IP address of the nameserver | |
export DISPLAY=172.19.112.1:0 | |
##################################################### |
aws ec2 create-launch-template --region ap-northeast-1 --launch-template-name TemplateForSpot --version-description TemplateForSpotVersion1 --launch-template-data "{\"NetworkInterfaces\":[{\"DeviceIndex\":0,\"SubnetId\":\"subnet-93d49ac8\"}],\"ImageId\":\"ami-06cd52961ce9f0d85\",\"InstanceType\":\"m4.large\",\"TagSpecifications\":[{\"ResourceType\":\"instance\",\"Tags\":[{\"Key\":\"Name\",\"Value\":\"EC2SpotImmersionDay\"}]}]}" |