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import yarom as Y
import traceback
import sqlite3

SQLITE_DB_LOC = '../aux_data/celegans.db'
LINEAGE_LIST_LOC = '../aux_data/C. elegans Cell List - WormAtlas.tsv'
MUSCLE_LINEAGE_LIST_LOC = '../aux_data/muscle_names_to_lineage'
WORM = None
NETWORK = None

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{
 "metadata": {
  "name": ""
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {

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import yarom as Y
import rdflib as R
from rdflib.tools.rdf2dot import rdf2dot
from pprint import pprint as PP

from time import time

from object_name_dict import onames as ONAMES
from object_name_dict import pnames as PNAMES
import sys

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from __future__ import print_function
import pprint as PP
class A(object):
    def __init__(self):
        self.o = dict()
        self.p = dict()
        self.var = None
        self.ident = None

    @property

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import sys
import PyOpenWorm as P

if len(sys.argv) > 1:
    P.connect(conf={'rdf.source':'default'})
    P.loadData('../WormData.n3')
else:
    P.connect('default.conf')

def should_match(y, x):

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diff --git a/PyOpenWorm/neuron.py b/PyOpenWorm/neuron.py
index d693f32..de6a7b4 100644
--- a/PyOpenWorm/neuron.py
+++ b/PyOpenWorm/neuron.py
@@ -82,7 +82,6 @@ class Connection(P.Property):
            int
                The number of connections matching the paramters given
         """
-        # XXX: Turn this into a COUNT query
         options = dict()

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diff --git a/PyOpenWorm/neuron.py b/PyOpenWorm/neuron.py
index d693f32..32b52e8 100644
--- a/PyOpenWorm/neuron.py
+++ b/PyOpenWorm/neuron.py
@@ -82,7 +82,6 @@ class Connection(P.Property):
            int
                The number of connections matching the paramters given
         """
-        # XXX: Turn this into a COUNT query
         options = dict()

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#lang racket
(require pict)
(require racket/draw)
(require racket/fixnum)

(define (slop f l)
  (cond
    ((null? l) '())
    (#t (cons (f l) (slop f (cdr l))))))

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import rdflib as R
from subprocess import call
from time import time

def median(mylist):
    # from http://stackoverflow.com/questions/10482339/how-to-find-median
    sorts = sorted(mylist)
    length = len(sorts)
    if not length % 2:
        return (sorts[length / 2] + sorts[length / 2 - 1]) / 2.0

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import rdflib as R
from random import randint,sample
import subprocess
from subprocess import PIPE
import os
# Load in the graph
g = R.ConjunctiveGraph(identifier=R.URIRef("http://somehost.com/default_graph"))
graph_uri = R.URIRef("http://somehost.com/default_graph")
YOUR_TEST_GRAPH = 'changes_test.nq'
YOUR_TEST_GRAPH_FORMAT = 'nquads'