knabben

package graph

import (
	"fmt"
	"sort"
)

type Graph struct {
	Nodes map[string]Fields
	Links map[string]map[string]Fields

knabben

package company

import (
	"github.com/jinzhu/gorm"
	_ "github.com/jinzhu/gorm/dialects/postgres"
)

var Companies []Company

type Company struct {

knabben

# -*- mode: ruby -*-
# vi: set ft=ruby :

Vagrant.configure("2") do |config|
  config.vm.box = "debian/jessie64"

  config.disksize.size = '20GB'
  config.vm.network "private_network", ip: "192.168.99.252"

  config.vm.synced_folder "~/.projects", "/home/vagrant/projects"

knabben

---
apiVersion: v1
kind: List

items:

- apiVersion: extensions/v1beta1
  kind: Deployment
  metadata:
    name: sawtooth-0

knabben

#!/bin/bash

# Generate user keygen
sawtooth keygen vagrant --force

# Generate validator key pair
sudo sawadm keygen --force

# Cleanup sawtooth repo
sudo rm -fr /var/lib/sawtooth/; sudo mkdir -p /var/lib/sawtooth ; sudo chown sawtooth /var/lib/sawtooth

knabben

import json
from channels import Group
from ws.models import LocateObject, LocatePath
from django.core.serializers import serialize


def ws_add(message):
    message.reply_channel.send({'accept': True})
    Group("path").add(message.reply_channel)

knabben

from pandas import DataFrame
from django.db.models import Q


def get_facts(facts, idx, filter_desc=None, label=None, show=False):
    ret_dict = {}
    account_number = Q(account__number__in=idx)

    if filter_desc:
        facts = facts.filter(account__description__regex=filter_desc)

knabben

def get_company_data(days=7, id=''):
    symbol = Company.objects.get(pk=id).symbol
    end = datetime.now().date()
    start = end - timedelta(days=int(days))

    stock_data = web.DataReader('BVMF:{}'.format(symbol), 'google', start, end)

    stock_days = []
    for i, (key, data) in enumerate(stock_data.T.iteritems()):
        data.dropna(axis=0, inplace=True)

knabben

# DNS CONSUL POPULATOR 
# -*- coding: utf-8 -*-
import boto3
import requests

from tabulate import tabulate


def start_dns(args):
    """ Start Consul objects """

knabben

import collections
from pymongo import MongoClient

from nltk.corpus import stopwords
from nltk.collocations import BigramCollocationFinder
from nltk.metrics import BigramAssocMeasures

from nltk.classify import NaiveBayesClassifier
from nltk.classify.util import accuracy