Wladston Filho wladston

Half-baked thoughts exploring a different way of implementing a fully-validating BCH node.

The idea is to shift the storage of full transaction data to wallets, and explore how little data a fully validating node could store. This isn't a problem today (the UTXO set easily fits in the RAM of an inexpensive server-class machine), but might eventually be at very large transaction volumes.

Initial block download is a problem today (it is annoying to have to wait several hours or days to sync up a new node), and this scheme could make it orders of magnitude faster by shifting the time when full transaction data is broadcast from initial block download to new transaction announcement.

	// NOTE: I added the .js extension to this gist so it would have syntax highlighting. This file should have NO file extension

	{
	// Settings
	"passfail" : false, // Stop on first error.
	"maxerr" : 100, // Maximum error before stopping.


	// Predefined globals whom JSHint will ignore.
	"browser" : true, // Standard browser globals e.g. `window`, `document`.

	import os
	import ycm_core
	from clang_helpers import PrepareClangFlags

	# Set this to the absolute path to the folder (NOT the file!) containing the
	# compile_commands.json file to use that instead of 'flags'. See here for
	# more details: http://clang.llvm.org/docs/JSONCompilationDatabase.html
	# Most projects will NOT need to set this to anything; you can just change the
	# 'flags' list of compilation flags. Notice that YCM itself uses that approach.
	compilation_database_folder = ''

	# A simple Makefile alternative to using Grunt for your static asset compilation
	#
	## Usage
	#
	# $ npm install
	#
	# And then you can run various commands:
	#
	# $ make # compile files that need compiling
	# $ make clean all # remove target files and recompile from scratch

	from scipy.spatial.distance import pdist, squareform
	import numpy as np

	from numbapro import jit, float32

	def distcorr(X, Y):
	""" Compute the distance correlation function

	>>> a = [1,2,3,4,5]
	>>> b = np.array([1,2,9,4,4])

	<?php
	/**
	* WARNING! THIS SNIPPET MAY BE OUTDATED.
	* The latest version of this snippet can be found in the Gravity Wiz Snippet Library:
	* https://github.com/gravitywiz/snippet-library/blob/master/gravity-forms/gw-user-registration-skip-registration-for-existing-email.php
	*/
	/**
	* Gravity Wiz // Gravity Forms // User Registration // Skip Registration if Email Exists
	*
	* If submitted email is already registered, skip registration.