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import logging
import rdflib
from rdflib.term import URIRef
from rdflib import RDF, plugin
from rdflib.graph import Graph
from rdflib.store import Store
from movementmetadata import MovementMetadata
import tempfile
import os
from os.path import join as p

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diff --git a/PyOpenWorm/context_store.py b/PyOpenWorm/context_store.py
index c278af9..c753eed 100644
--- a/PyOpenWorm/context_store.py
+++ b/PyOpenWorm/context_store.py
@@ -151,7 +151,15 @@ class RDFContextStore(Store):
         self.__init_contexts()
         for t in self.__store.triples(pattern, context):
             contexts = set(getattr(c, 'identifier', c) for c in t[1])
-            inter = self.__context_transitive_imports & contexts
+            if self.__context_transitive_imports:

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- Pass in reader objects rather than names of readers for for data_reader
  arguments

    Allows to configure readers in any way that's needed prior to use (e.g.,
    the spreadsheet location, PyOW context). There doesn't seem to be any
    reason that users of the data reader either need to initialize or resolve
    the readers differently for a given name, so it's better not to expect them
    to.

- Remove assumptions of spreadsheet reader being used

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Mark Watts' notes on All Day DevOps.
====================================

The talks I viewed and the notes I took reflect my personal interests and
issues which I though would be worthwile to my employer, but there were many
useful talks.

One of the business-side advantages of DevOps is that it's supposed to *save
time and money* by reducing overhead due, principally, to dysfunctional
patterns of behavior within the organization. Many talks in ADDO describe tools

mwatts15

import csv

class WormbaseIonChannelCSVTranslator(DataTranslator):
    input_type = WormbaseIonChannelCSVDataSource
    output_type = DataObjectContextDataSource

    def translate(self, data_source):
        res = set([])
        try:
            with open(data_source.csv_file_name, 'r') as csvfile:

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#!/bin/sh

# A script for removing authors from git history and file contents

REPLACE_DOMAIN=${REPLACE_DOMAIN:-example.com}
TEMPDIR=
interactive=

restore_ref () {
    if [ -f orig-ref ] ; then

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from __future__ import print_function
import xlrd

wb = xlrd.open_workbook(
    './Differentiation Tree Dataset/differentiation-tree-all-variables.1.xlsx')
sheet = wb.sheet_by_name('RelativeSize')

# Column indices
PARENT = 1
CHILDA = 2

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import PyOpenWorm as P
import numpy
import six
from time import time


def all_neuron_connection():
    n = P.Neuron(name="AVAL")
    list(n.connection.get())
    list(n.connection.get())

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from __future__ import print_function
try:
    import cStringIO as io
except:
    from io import StringIO as io
import sys
import rdflib
from rdflib.graph import ConjunctiveGraph
from uuid import uuid4
import random

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from __future__ import print_function
from socket import error as SocketError
import errno
import traceback
import rdflib
import time
import os
import signal
from urllib2 import URLError
from rdflib.plugins.stores.sparqlstore import SPARQLUpdateStore