| import NSKeyedUnArchiver, json | |
| def decodePlist(data): | |
| if data[:2]=='0x': data=data[2:] | |
| data=bytes.fromhex(data) | |
| my_dict=NSKeyedUnArchiver.unserializeNSKeyedArchiver(data) | |
| return(json.dumps(my_dict, indent=4, sort_keys=True, default=str)) | |
| public MainPage() | |
| { | |
| this.InitializeComponent(); | |
| Loaded += MainPage_Loaded; | |
| } | |
| private async void MainPage_Loaded(object sender, RoutedEventArgs e) | |
| { | |
| string url = "https://p.bigstockphoto.com/GeFvQkBbSLaMdpKXF1Zv_bigstock-Aerial-View-Of-Blue-Lakes-And--227291596.jpg"; | |
| var file = await Windows.Storage.ApplicationData.Current.LocalFolder.CreateFileAsync("photo.jpg"); |
| import sys | |
| if __name__ == "__main__": | |
| if len(sys.argv) < 1: | |
| sys.stderr.write("Usage: %s tsvtoaddr.py blockchair_*_addresses_latest.tsv\n" % sys.argv[0]) | |
| sys.exit(1) | |
| for addr in open(sys.argv[1], 'r').readlines(): | |
| print(str.split(addr,'\t')[0]) |
| from binance.client import Client | |
| from binance.exceptions import BinanceAPIException, BinanceRequestException | |
| #incomplete but i just need a useful regex | |
| client = Client("apikey", "secret") | |
| coininfo = client.get_all_coins_info() | |
| for coin in coininfo: | |
| for network in (coin['networkList']): | |
| print(coin['name'],network['addressRegex']) |
It would be spiffy to use the balanced merkle forest idea for ethereum tokens or to store unspent transaction outputs.
Tadge Dryja has been working on 'utreexo' (presentation) for storing unspent transaction outputs in log(n) space; this gist is inspired by, and is very similar to, that work.
So my previous gist describes really simple algorithms for adding and removing items from a balanced merkle forest. This gist extends those operations to create
| -----BEGIN PGP PUBLIC KEY BLOCK----- | |
| Version: GnuPG v2.0.14 (GNU/Linux) | |
| mQINBGF15iUBEADthQjDB0rFH61YFm2o6co9omS21oaHNvCQdlSIjNiUDqt+wZ+A | |
| GftK72M18C5eME3Vg2AY9epvIr82wl+kHQTGiQVks/2LT6mW2oJaQcsPuIK+Fxiq | |
| DxoeDMa3BVLjEq7572g10tbBVaUV1HkKoqOESXlKOWmYErdzrGjccZT7jj2rHTNn | |
| vOvugBtGkJZOyF0R+lrHdm6R0mcHyTeWC9AWVgd1a9hf7KEf+gucOlWfZOTZwqGI | |
| 2VmS4fWOXqAcAUDzpuKsjmBiO/tZcRpCYwxop3W9IR7sYCXHVFvK+I/hirHV9vfQ | |
| 8u7b7AnchYwY+W7+CNr/EvREWKKb6ApUXW/wUAQKCjmtbW9/lMt4cJNA/a8SZCpP | |
| 22oidmIUuVsZNX7vv/AY4+F4j/jfNE+LCjLAiyU3+lEjpMhceYrNBabMq2gDfNLG |
| This document is an attempt to define metrics quantifying the degree of privacy provided by a bitcoin transaction. | |
| Objectives | |
| Definition of metrics measuring the resistance of a transaction to a set of attacks against users privacy. | |
| Attacks considered in the scope of these metrics are: | |
| - Merged Inputs Heuristic: methods identifying the inputs controlled by a same entity | |
| - Coinjoin Sudoku: methods identifying the links existing between the inputs and outputs of a transaction |
| import binascii | |
| import hashlib | |
| import codecs | |
| import mmap | |
| import sys | |
| import ecdsa | |
| import base58 | |
| # Define base58str | |
| def base58str(address_hex): |
| { | |
| "0xe3ffc9a3": [ | |
| "sendEtherToOwner()" | |
| ], | |
| "0x5629c6d9": [ | |
| "doExecution(address)" | |
| ], | |
| "0xe2deaa81": [ | |
| "set_reference(uint256,uint256,uint256)" | |
| ], |