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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()

duhaime

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)

duhaime

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):

duhaime

duhaime

 START note_48_duration_240 note_76_duration_360 wait_240 note_55_duration_240 wait_120 note_72_duration_120 wait_120 note_67_duration_960 note_64_duration_960 note_60_duration_960 wait_240 note_55_duration_228 wait_240 note_55_duration_228 wait_240 note_55_duration_228 wait_240 note_60_duration_240 note_64_duration_240 note_69_duration_480 wait_240 note_55_duration_240 wait_240 note_71_duration_1440 note_65_duration_1440 note_62_duration_1440 wait_240 note_55_duration_228 wait_240 note_55_duration_228 wait_240 note_55_duration_228 wait_240 note_57_duration_240 wait_240 note_55_duration_240 wait_240 note_60_duration_240 note_64_duration_240 note_72_duration_480 wait_240 note_55_duration_240 wait_240 note_74_duration_360 note_65_duration_360 note_59_duration_1440 wait_240 note_55_duration_480 wait_120 note_76_duration_120 note_67_duration_120 wait_120 note_69_duration_960 note_77_duration_960 wait_240 note_55_duration_228 wait_240 note_55_duration_228 wait_240 note_55_duration_480 wait_240 note_67_duration_240

duhaime

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 = {