James Shih jameshih

## build_sign_polkadot_rawtx.ts
import { ApiPromise, WsProvider, Keyring } from "@polkadot/api";
import { expandMetadata } from "@polkadot/metadata";
import { stringCamelCase, u8aToHex } from "@polkadot/util";
import {
  blake2AsHex,
  cryptoWaitReady,
  encodeAddress,
} from "@polkadot/util-crypto";
import type { SignerPayloadJSON, AnyJson } from "@polkadot/types/types";

## docker-compose.yml
version: '3.7'
services:
  kibana:
    container_name: kibana
    image: docker.elastic.co/kibana/kibana:7.6.2
    restart: always
    environment:
      ELASTICSEARCH_URL: http://es01:9200
      ELASTICSEARCH_HOSTS: http://es01:9200
    ports:

## keybase.md

      
              1 file
            
          
              0 forks
            
          
              0 comments
            
          
              0 stars
            
          
                jameshih
                / keybase.md
            
            
              Created
              August 16, 2020 17:41
            
          
    Keybase proof

I hereby claim:

I am jameshih on github.
I am jameshih (https://keybase.io/jameshih) on keybase.
I have a public key whose fingerprint is 6763 7E8D AF77 A5A0 A4A9  C8D8 6DF1 EB7E A468 A9B4

To claim this, I am signing this object:

  
## main.py
# define a Stack data structure
class Stack:
    def __init__(self):
        self.items = []

    def push(self,item):
        self.items.append(item)

    def pop(self):
        return self.items.pop()

## gist:d2615e30709f6a36402e66db2d2317be
This post links my 3Box profile to my Github account! Web3 social profiles by 3Box.

  ✅ did:3:bafyreih3hhex645fsffhjwybt3c2y5mhvylhkctfnvrkiz6czft2xfqdiq ✅

    Create your profile today to start building social connection and trust online at https://3Box.io/

## hyper
hyper

## file
file

## art_gen.py
from scipy.misc import imread, imresize, imsave
from scipy.optimize import fmin_l_bfgs_b
from sklearn.preprocessing import normalize
import numpy as np
import time
import os
import argparse
import h5py

from keras.models import Sequential

## script.js
var container;
var camera, scene, renderer, particle;
var mouseX = 0, mouseY = 0;
var speed = 100000;
var windowHalfX = window.innerWidth / 2;
var windowHalfY = window.innerHeight / 2;

init();
animate();

## index.html
<!DOCTYPE html>
<html>
<head>
  <meta charset="utf-8">
  <title></title>
  <style>
  body {
    margin: 0;
    overflow: hidden;
  }
	import { ApiPromise, WsProvider, Keyring } from "@polkadot/api";
	import { expandMetadata } from "@polkadot/metadata";
	import { stringCamelCase, u8aToHex } from "@polkadot/util";
	import {
	blake2AsHex,
	cryptoWaitReady,
	encodeAddress,
	} from "@polkadot/util-crypto";
	import type { SignerPayloadJSON, AnyJson } from "@polkadot/types/types";
	version: '3.7'
	services:
	kibana:
	container_name: kibana
	image: docker.elastic.co/kibana/kibana:7.6.2
	restart: always
	environment:
	ELASTICSEARCH_URL: http://es01:9200
	ELASTICSEARCH_HOSTS: http://es01:9200
	ports:
	# define a Stack data structure
	class Stack:
	def __init__(self):
	self.items = []

	def push(self,item):
	self.items.append(item)

	def pop(self):
	return self.items.pop()
	This post links my 3Box profile to my Github account! Web3 social profiles by 3Box.

	✅ did:3:bafyreih3hhex645fsffhjwybt3c2y5mhvylhkctfnvrkiz6czft2xfqdiq ✅

	Create your profile today to start building social connection and trust online at https://3Box.io/
	from scipy.misc import imread, imresize, imsave
	from scipy.optimize import fmin_l_bfgs_b
	from sklearn.preprocessing import normalize
	import numpy as np
	import time
	import os
	import argparse
	import h5py

	from keras.models import Sequential
	var container;
	var camera, scene, renderer, particle;
	var mouseX = 0, mouseY = 0;
	var speed = 100000;
	var windowHalfX = window.innerWidth / 2;
	var windowHalfY = window.innerHeight / 2;

	init();
	animate();
	<!DOCTYPE html>
	<html>
	<head>
	<meta charset="utf-8">
	<title></title>
	<style>
	body {
	margin: 0;
	overflow: hidden;
	}