yuntai

1,-1,126.682,445.587,489.079,205.913,0.996153,-1,-1,-1
1,-1,1266.37,278.506,96.7231,78.263,0.977046,-1,-1,-1
1,-1,868.04,167.253,70.4472,47.9104,0.968232,-1,-1,-1
1,-1,1093.04,332.933,271.001,175.805,0.949291,-1,-1,-1
1,-1,1313.3,107.605,58.4822,22.9558,0.926559,-1,-1,-1
1,-1,1012.45,127.749,82.496,60.7935,0.907068,-1,-1,-1
1,-1,385.654,66.6637,28.8267,22.0213,0.872974,-1,-1,-1
1,-1,1126.07,173.51,93.9868,67.1671,0.826612,-1,-1,-1
1,-1,909.518,215.13,92.9806,92.0938,0.719844,-1,-1,-1
1,-1,1648.93,87.9435,87.5293,51.9693,0.703511,-1,-1,-1

yuntai

==============================================================
 create chanel node1 <=> node2
==============================================================

node1.create_channel()
node1 !SendOpenChannel
node1 => node2 msgs::open_channel
node2 => node1 msgs::accept_channel
node1 !FundingGenerationReady

yuntai

extern crate lightning;
extern crate secp256k1;

use secp256k1::key::PublicKey;
use secp256k1::{Secp256k1};

use lightning::ln::msgs;
use lightning::util::reset_rng_state;

use std::sync::atomic::{AtomicUsize,Ordering};

yuntai

import ecc
from ecc import PrivateKey
from random import randint
from helper import double_sha256, little_endian_to_int

# patch
ecc.FieldElement.__neg__ = lambda self: self.__class__(self.prime - self.num, self.prime)
ecc.Point.__sub__ = lambda self, other: self + (-other)
ecc.Point.__neg__ = lambda self: self.__class__(None, None, self.a, self.b) if self.x is None else self.__class__(self.x, -self.y, self.a, self.b)

yuntai

0x1339c57B3186CFFBc669a646e52D005a7C66b5F2

yuntai

import numpy as np
import sklearn.datasets
import sklearn.ensemble
import xgboost

N_TRAIN = 60000
NS_ITERATIONS = [2 ** k for k in range(8)]

MODELS = [
    ('RandomForestClassifier', sklearn.ensemble.RandomForestClassifier, {'n_jobs': -1}),

yuntai

package main

import (
  git "github.com/libgit2/git2go"
  "log"
)

func credentialsCallback(url string, username string, allowedTypes git.CredType) (git.ErrorCode, *git.Cred) {
  ret, cred := git.NewCredSshKey("git", "/home/vagrant/.ssh/id_rsa.pub", "/home/vagrant/.ssh/id_rsa", "")
  return git.ErrorCode(ret), &cred

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"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)