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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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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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/Users/harrymoreno/.local/share/virtualenvs/litt-api-HgI9cQzm/lib/python3.6/site-packages/psycopg2/__init__.py:144: UserWarning: The psycopg2 wheel package will be renamed from release 2.8; in order to keep installing from binary please use "pip install psycopg2-binary" instead. For details see: <http://initd.org/psycopg/docs/install.html#binary-install-from-pypi>.
  """)
Traceback (most recent call last):
  File "/Users/harrymoreno/.local/share/virtualenvs/litt-api-HgI9cQzm/lib/python3.6/site-packages/django/db/backends/utils.py", line 83, in _execute
    return self.cursor.execute(sql)
psycopg2.ProgrammingError: permission denied to create extension "postgis"
HINT:  Must be superuser to create this extension.


The above exception was the direct cause of the following exception:

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

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

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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)

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$ docker build -t gcr.io/foo/polls .                    
Sending build context to Docker daemon   1.12MB
Step 1/7 : FROM gcr.io/google_appengine/python
latest: Pulling from google_appengine/python
1d47b358304c: Pull complete 
c6cf9be4ad08: Pull complete 
3c2cba919283: Pull complete 
b5267a7c948d: Pull complete 
327bc3d676fa: Pull complete 
7084178c9da9: Pull complete