This document describes the HTTP communication of LibreLinkUp which functions as follower app to receive cgm data. Some data in the responses were masked.
This dump was created on an android device with LibreLinkUp app. Capturing was done with HttpToolkit over adb.
| GOCMD=go | |
| GOTEST=$(GOCMD) test | |
| GOVET=$(GOCMD) vet | |
| BINARY_NAME=example | |
| VERSION?=0.0.0 | |
| SERVICE_PORT?=3000 | |
| DOCKER_REGISTRY?= #if set it should finished by / | |
| EXPORT_RESULT?=false # for CI please set EXPORT_RESULT to true | |
| GREEN := $(shell tput -Txterm setaf 2) |
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| package main | |
| import ( | |
| "context" | |
| "fmt" | |
| "log" | |
| "net/http" | |
| "golang.org/x/oauth2" | |
| "golang.org/x/oauth2/google" |
| package main | |
| import ( | |
| "context" | |
| "flag" | |
| "fmt" | |
| "log" | |
| "net/http" | |
| "os" | |
| "os/signal" |
Modern Cocoa development involves a lot of asynchronous programming using closures and completion handlers, but these APIs are hard to use. This gets particularly problematic when many asynchronous operations are used, error handling is required, or control flow between asynchronous calls gets complicated. This proposal describes a language extension to make this a lot more natural and less error prone.
This paper introduces a first class Coroutine model to Swift. Functions can opt into to being async, allowing the programmer to compose complex logic involving asynchronous operations, leaving the compiler in charge of producing the necessary closures and state machines to implement that logic.
The following are examples of the four types rate limiters discussed in the accompanying blog post. In the examples below I've used pseudocode-like Ruby, so if you're unfamiliar with Ruby you should be able to easily translate this approach to other languages. Complete examples in Ruby are also provided later in this gist.
In most cases you'll want all these examples to be classes, but I've used simple functions here to keep the code samples brief.
This uses a basic token bucket algorithm and relies on the fact that Redis scripts execute atomically. No other operations can run between fetching the count and writing the new count.
| javascript:(function(){ var style = document.createElement(%27style%27), styleContent = document.createTextNode(%27.container { width: 1600px !important; } .timeline-comment-wrapper { width: 1380px !important; } .comment-holder{ max-width: none !important;} .discussion-item { width: 1300px !important; }%27); style.appendChild(styleContent ); var caput = document.getElementsByTagName(%27head%27); caput[0].appendChild(style); })(); |
| # Inspired from http://coding4streetcred.com/blog/post/Asymmetric-Encryption-Revisited-(in-PyCrypto) | |
| # PyCrypto docs available at https://www.dlitz.net/software/pycrypto/api/2.6/ | |
| from Crypto import Random | |
| from Crypto.PublicKey import RSA | |
| import base64 | |
| def generate_keys(): | |
| # RSA modulus length must be a multiple of 256 and >= 1024 | |
| modulus_length = 256*4 # use larger value in production |
