vuchau

import 'package:amazon_cognito_identity_dart/cognito.dart';
import 'package:amazon_cognito_identity_dart/sig_v4.dart';
import 'package:http/http.dart' as http;

class Credentials {
  final CognitoCredentials _cognitoCredentials;
  final String _token;
  final String _authenticator;

  Credentials(String identityPoolId, String userPoolId, String clientId, this._token, [this._authenticator])

vuchau

GATEWAY_FLAGS := -I. -I/usr/local/include -I$(GOPATH)/src/github.com/grpc-ecosystem/grpc-gateway/third_party/googleapis -I/usr/local/include

GRPC_FLAGS := --python_out=. --grpc_python_out=.

code:
    python -m grpc_tools.protoc $(GRPC_FLAGS) $(GATEWAY_FLAGS) *.proto

gw:
    protoc $(GATEWAY_FLAGS) \
        --go_out=Mgoogle/api/annotations.proto=github.com/grpc-ecosystem/grpc-gateway/third_party/googleapis/google/api,plugins=grpc:. \

vuchau

/**
* Generates number of random geolocation points given a center and a radius.
* @param  {Object} center A JS object with lat and lng attributes.
* @param  {number} radius Radius in meters.
* @param {number} count Number of points to generate.
* @return {array} Array of Objects with lat and lng attributes.
*/
function generateRandomPoints(center, radius, count) {
  var points = [];
  for (var i=0; i<count; i++) {

vuchau

package main

import (
	"io"
	"net/http"
	"sync/atomic"
)

func index() http.Handler {
	return http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {

vuchau

package main

import (
	"context"
	"flag"
	"fmt"
	"log"
	"net/http"
	"os"
	"os/signal"

vuchau

Batching migrations

The idea here is that if you know which migrations were in version 2.0.3 of your project and which were in version 2.0.4 then setA - setB gives you the list of migrations you need to undo.

Django migrations give you a directed acyclic graph which describes how to get from the current database state to the target state. But there is no mechanism by which you can perform tasks like revert all the migrations that just ran in the last deployment.

Here is a quick recipe for batching Django migrations to allow you to do things like that.

Before you tag your project you do:

vuchau

A step-by-step guide how to use Python with Tor and Privoxy

Tested on Ubuntu 16.04 Docker container. The Dockerfile is a single line FROM ubuntu:16.04.

NOTE: stopping services didn't work for me for some reason. That's why there is pidof <service name> | xargs kill after each failed service <service name> stop to kill it.

References

• How to request new TOR identity in terminal
• How to anonymize the programs from your terminal with torify
• How To: Using Tor From The Command Line

vuchau

logstash-crawler:
  labels:
    io.rancher.container.pull_image: always
    io.rancher.scheduler.affinity:container_label_soft_ne: io.rancher.stack_service.name=$$$${stack_name}/$$$${service_name}
    io.rancher.scheduler.affinity:host_label: role=crawler
  command:
  - -f
  - /etc/logstash/conf.d/logstash.conf
  image: arthurpham/logstash-scrapy-cluster-docker:latest
  links:

vuchau

# List unique values in a DataFrame column
# h/t @makmanalp for the updated syntax!
df['Column Name'].unique()

# Convert Series datatype to numeric (will error if column has non-numeric values)
# h/t @makmanalp
pd.to_numeric(df['Column Name'])

# Convert Series datatype to numeric, changing non-numeric values to NaN
# h/t @makmanalp for the updated syntax!

vuchau

worker_processes  1;

events {
    worker_connections  1024;
}

http{
  server {
    listen 80;
    server_name localhost;