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Introduction to Blockchain Programming, Jan 2020

Explain blockchain

Chain of blocks

• https://anders.com/blockchain/blockchain
• Hashing function
• coinbase transaction
• the ledger is all of the transactions

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Soldity Workshop

Prerequisites

Attendees should do the following before the event to get the most out of it. There will be a 20 minute lecture-overview at the beginning. You can do the prerequisites during the overview if you have not done so by then.

1. install node.js (lts version is recommended)
2. install git (use brew if on osx)
3. install a code editor (vscode or atom.io)

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// The following was translated from python.
// See https://codility.com/media/train/15-DynamicProgramming.pdf
const dynamicCoinChanging = (coins, target) => {
  let n = coins.length;
  let dp = [0];
  for (let i=0; i < target; i++) {
    dp.push(Number.POSITIVE_INFINITY);
  }

  for (let i=0; i <= n; i++) {

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def export_h5_to_pb(path_to_h5, export_path):

    # Set the learning phase to Test since the model is already trained.
    K.set_learning_phase(0)

    # Load the Keras model
    keras_model = load_model(path_to_h5)

    # Build the Protocol Buffer SavedModel at 'export_path'
    builder = saved_model_builder.SavedModelBuilder(export_path)

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import re
import pprint
pp = pprint.PrettyPrinter(indent=2)

def Input():
    filename = './input.txt'
    return open(filename)

lines = Input().read().split('\n')

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var wkx = require('wkx')
var pg = require('pg')
var pgUtil = require('pg/lib/utils')

const geoParser = {
  init(knex){
    // 1. Convert postgis data coming out of the db into geoJSON
    // Every postgres installation will have different oids for postgis geo types.
    knex
      .raw('SELECT oid, typname AS name FROM pg_type WHERE typname IN (\'geography\', \'geometry\');')

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    const getInvite = fetch(                                                                                           
      `${apiHost}/invite/?event=${event_id}&user=${userId}`                                                               
    );                                                                                                                    
    const getHost = fetch(`${apiHost}/user/${event.fields.host}/`);                                                       
    Promise.all([getInvite, getHost, delayPromise(1000)()])                                                               
      .then(values => {                                                                                                    
        values.pop(); // drop delayPromise's return value (undefined)                                                     
        return values.map(v => v.json());                                                                                 
      })                                  

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import tensorflow as tf
from keras import backend as K
from tensorflow.python.saved_model import builder as saved_model_builder
from tensorflow.python.saved_model import tag_constants, signature_constants
from tensorflow.python.saved_model.signature_def_utils_impl import predict_signature_def

builder = saved_model_builder.SavedModelBuilder('vgg16_no_augmentation_export')

signature = predict_signature_def(inputs={'input': parallel_model.inputs[0]},
                                    outputs={'income': parallel_model.outputs[0]})

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---------------------------------------------------------------------------
MemoryError                               Traceback (most recent call last)
<ipython-input-22-567222df1eb0> in <module>()
----> 1 x_train = vectorize_sequences(train_data)
      2 x_test = vectorize_sequences(test_data)

<ipython-input-21-5d7c33381575> in vectorize_sequences(sequences, dimension)
      2 # are a 1 in the tensor, 0 otherwise
      3 def vectorize_sequences(sequences, dimension=10000):
----> 4     results = np.zeros((len(sequences), dimension))

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import React from "react";
import { Platform, TouchableNativeFeedback, TouchableOpacity, View } from "react-native";

const Colors = {
  androidRippleDark: "#ccc"
};
const styles = {
  style: {}
};