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# Basic key operators to query the JSON objects :

# #> : Get the JSON object at that path (if you need to do something fancy)
# -> : Get the JSON object at that path (if you don't)
# ->> : Get the JSON object at that path as text
# {obj, n} : Get the nth item in that object

# https://www.postgresql.org/docs/9.4/functions-json.html#FUNCTIONS-JSONB-OP-TABLE
# Date 
# date before today

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import time
import socket

for pings in range(10):
    client_socket = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
    client_socket.settimeout(1.0)
    message = b'test'
    addr = ("127.0.0.1", 12000)

    start = time.time()

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from SPARQLWrapper import SPARQLWrapper, JSON
import html, datetime, os, json, glob, time

def send_sparql_query(q, timeout=None, sleep=0):
    time.sleep(sleep)
    try:
        sparql = SPARQLWrapper("http://dbpedia.org/sparql")
        sparql.setReturnFormat(JSON)
        if timeout: sparql.setTimeout(timeout)
        sparql.setQuery(q)

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from fractions import Fraction
import music21
import glob

# remove leading / trailing whitespace
music21.defaults.ticksAtStart = 0

notes = set([12*j + i for i in [0,2,4,5,7,9,11] for j in [0,1,2,3,4,5,6,7,8,9,10] ]) 

def constrain_pitch(val):

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from SPARQLWrapper import SPARQLWrapper, JSON
from collections import defaultdict
from bs4 import BeautifulSoup
import numpy as np
import json, os, glob, subprocess, string
import nltk, codecs, re, shutil, sys

##################################################
# Wrapper to find nested location of stored data #
##################################################

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%matplotlib inline
from math import cos, sin, sqrt, pi
import numpy as np
import matplotlib.pyplot as plt

# golden angle definition
ga = 360/((1+sqrt(5))/2)**2

# initialize random array
a = np.zeros((1000, 2))

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{0: 'tench, Tinca tinca',
 1: 'goldfish, Carassius auratus',
 2: 'great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias',
 3: 'tiger shark, Galeocerdo cuvieri',
 4: 'hammerhead, hammerhead shark',
 5: 'electric ray, crampfish, numbfish, torpedo',
 6: 'stingray',
 7: 'cock',
 8: 'hen',
 9: 'ostrich, Struthio camelus',

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import itertools
import argparse
import MySQLdb
import json
import glob
import os

# for usage run `python ingest_epo.py -h`

defaults = {