tzvsi tzvsi

## guid.py
import hashlib
import uuid

seed = 'foo'

m = hashlib.md5()
m.update(seed.encode('utf-8'))
new_uuid = uuid.UUID(m.hexdigest())

print(new_uuid)

## index.html
<!DOCTYPE html>
<meta charset="utf-8">
<style>
    body {
        font:12px/20px 'Helvetica';
    }
    textarea, input {
        width:100%;
        height:20px;
        margin:0;

## README.md

      
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                tzvsi
                / README.md
            
            
              Created
              June 13, 2020 03:28
                — forked from biovisualize/README.md
            
              
                direct svg to canvas to png conversion
              
          
    It seems that Chrome finally found a way to let us convert from svg to canvas to png without the tainted canvas security feature/bug.

  
## .gitignore
.DS_Store

## angle-between-points.js
var p1 = {
	x: 20,
	y: 20
};

var p2 = {
	x: 40,
	y: 40
};

## .block
license: gpl-3.0
redirect: https://observablehq.com/@d3/focus-context

## banner-message.sh
sudo -i
xhost +SI:localuser:gdm
su gdm -s /bin/bash
gsettings set org.gnome.login-screen banner-message-enable true
gsettings set org.gnome.login-screen banner-message-text 'TYPE MESSAGE TEXT HERE'

# To restore the changes, you have to RE-DO previous 3 steps in terminal to get gdm user privilege, and finally run command:
gsettings reset org.gnome.login-screen banner-message-enable

## gist:222b3b22a847004a729744f89fe31255

      
              1 file
            
          
              13 forks
            
          
              10 comments
            
          
              24 stars
            
          
                tzvsi
                / gist:222b3b22a847004a729744f89fe31255
            
            
              Last active
              September 21, 2023 06:37
            
              
                Installing CUDA 10.2, CuDNN 7.6.5, TensorRT 7.0, Ubuntu 18.04
              
          
    Step 1: Installing CUDA (~5.5 minutes)

You can also install CUDA directly from the offline installer, but this is a little easier.
sudo apt update
sudo apt upgrade -y

mkdir install ; cd install
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-ubuntu1804.pin


## install-onnx-tensorrt.sh
git clone --recursive https://github.com/onnx/onnx-tensorrt.git
cd onnx-tensorrt
mkdir build
cd build
cmake .. -DTENSORRT_ROOT=/usr/src/tensorrt
make -j`nproc`
sudo make install

## install-onnx-tensorrt.sh
git clone --recursive https://github.com/onnx/onnx-tensorrt.git
cd onnx-tensorrt
mkdir build
cd build
cmake .. -DTENSORRT_ROOT=/usr/src/tensorrt
make -j`nproc`
sudo make install
	import hashlib
	import uuid

	seed = 'foo'

	m = hashlib.md5()
	m.update(seed.encode('utf-8'))
	new_uuid = uuid.UUID(m.hexdigest())

	print(new_uuid)
	<!DOCTYPE html>
	<meta charset="utf-8">
	<style>
	body {
	font:12px/20px 'Helvetica';
	}
	textarea, input {
	width:100%;
	height:20px;
	margin:0;
	license: gpl-3.0
	redirect: https://observablehq.com/@d3/focus-context
	git clone --recursive https://github.com/onnx/onnx-tensorrt.git
	cd onnx-tensorrt
	mkdir build
	cd build
	cmake .. -DTENSORRT_ROOT=/usr/src/tensorrt
	make -j`nproc`
	sudo make install