lg

Adding tailscale to an EdgeRouter (and surviving system upgrades)

I suggest you run sudo bash on all of these so you're the root user.

Installing

1. Download tailscale and put the files in /config/. Find the latest stable or unstable version for your EdgeRouter's processor (ex. ER4 is mips and ERX is mipself)

sudo bash    # if you havent already

r-darwish

[Unit]
Description=Jupyter Notebook

[Service]
Type=simple
ExecStart=/home/roeyd/Notebook/.env/bin/jupyter lab --port 9090
WorkingDirectory=/home/roeyd/Notebook

[Install]
WantedBy=default.target

datlife

"""An example of how to use tf.Dataset in Keras Model"""
import tensorflow as tf   # only work from tensorflow==1.9.0-rc1 and after
 
_EPOCHS      = 5
_NUM_CLASSES = 10
_BATCH_SIZE  = 128

def training_pipeline():
  # #############
  # Load Dataset

zmjjmz

 class TokenizeLookupLayer(keras.layers.Layer):                                          
     """                                                                                 
     Layer that encapsulates the following:                                              
     - Tokenizing sentences by space (or given delimiter)                                
     - Looking up the words with a given vocabulary list / table                         
     - Resetting the shape of the above to be batch_size x pad_len (using dark magic)    
     # Input Shape                                         
       2D string tensor with shape `(batch_size, 1)`      
     # Output Shape                                        
       2D int32 tensor with shape `(batch_size, pad_len)`

soaxelbrooke

WITH tokens AS (
  -- Just edit MY_TABLE, MY_TEXT_COL, and MY_PKEY_COL, and watch it go!
  SELECT MY_PKEY_COL AS pkey, (unnest(to_tsvector(MY_TEXT_COL))).* FROM MY_TABLE
), token_stream AS (
  SELECT pkey, unnest(positions) AS token_idx, lexeme
  FROM tokens ORDER BY pkey, token_idx
), token_counts AS (
  SELECT lexeme, sum(count) AS count
  FROM (
    SELECT lexeme, array_length(positions, 1) AS count FROM tokens

troyharvey

# Use envFrom to load Secrets and ConfigMaps into environment variables

apiVersion: apps/v1beta2
kind: Deployment
metadata:
  name: mans-not-hot
  labels:
    app: mans-not-hot
spec:
  replicas: 1

soaxelbrooke

logging.basicConfig(format='%(levelname)s:%(asctime)s.%(msecs)03d [%(threadName)s] - %(message)s',
                    datefmt='%Y-%m-%d,%H:%M:%S',
                    level=getattr(logging, os.getenv('LOG_LEVEL', 'INFO')))

veekas

#!/usr/bin/env python
#-*- coding: utf-8 -*-

# RescueTime Data Exporter
# Dan Nixon
# 18/09/2011
# forked from Chris Burgess (xurizaemon)

import urllib
import datetime

nvictus

// Client-side parser for .npy files
// See the specification: http://docs.scipy.org/doc/numpy-dev/neps/npy-format.html
var NumpyLoader = (function () {
    function asciiDecode(buf) {
        return String.fromCharCode.apply(null, new Uint8Array(buf));
    }

    function readUint16LE(buffer) {
        var view = new DataView(buffer);
        var val = view.getUint8(0);

sofyan-ahmad

# Make sure you grab the latest version
curl -OL https://github.com/google/protobuf/releases/download/v3.2.0/protoc-3.2.0-linux-x86_64.zip

# Unzip
unzip protoc-3.2.0-linux-x86_64.zip -d protoc3

# Move protoc to /usr/local/bin/
sudo mv protoc3/bin/* /usr/local/bin/

# Move protoc3/include to /usr/local/include/