# emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*-
# vi: set ft=python sts=4 ts=4 sw=4 et:
"""Tests for the engine module
"""
from copy import deepcopy
from glob import glob
import os
from shutil import rmtree
from tempfile import mkdtemp

import networkx as nx

from nipype.testing import (assert_raises, assert_equal, assert_true,
                            assert_false)
import nipype.interfaces.base as nib
import nipype.pipeline.engine as pe
from nipype import logging

class InputSpec(nib.TraitedSpec):
    input1 = nib.traits.Int(desc='a random int')
    input2 = nib.traits.Int(desc='a random int')

class OutputSpec(nib.TraitedSpec):
    output1 = nib.traits.List(nib.traits.Int, desc='outputs')

class TestInterface(nib.BaseInterface):
    input_spec = InputSpec
    output_spec = OutputSpec

    def _run_interface(self, runtime):
        runtime.returncode = 0
        return runtime

    def _list_outputs(self):
        outputs = self._outputs().get()
        outputs['output1'] = [1, self.inputs.input1]
        return outputs

def test_init():
    yield assert_raises, Exception, pe.Workflow
    pipe = pe.Workflow(name='pipe')
    yield assert_equal, type(pipe._graph), nx.DiGraph

def test_connect():
    pipe = pe.Workflow(name='pipe')
    mod1 = pe.Node(interface=TestInterface(),name='mod1')
    mod2 = pe.Node(interface=TestInterface(),name='mod2')
    pipe.connect([(mod1,mod2,[('output1','input1')])])

    yield assert_true, mod1 in pipe._graph.nodes()
    yield assert_true, mod2 in pipe._graph.nodes()
    yield assert_equal, pipe._graph.get_edge_data(mod1,mod2), {'connect':[('output1','input1')]}

def test_add_nodes():
    pipe = pe.Workflow(name='pipe')
    mod1 = pe.Node(interface=TestInterface(),name='mod1')
    mod2 = pe.Node(interface=TestInterface(),name='mod2')
    pipe.add_nodes([mod1,mod2])

    yield assert_true, mod1 in pipe._graph.nodes()
    yield assert_true, mod2 in pipe._graph.nodes()

# Test graph expansion.  The following set tests the building blocks
# of the graph expansion routine.
# XXX - SG I'll create a graphical version of these tests and actually
# ensure that all connections are tested later

def test1():
    pipe = pe.Workflow(name='pipe')
    mod1 = pe.Node(interface=TestInterface(),name='mod1')
    pipe.add_nodes([mod1])
    pipe._flatgraph = pipe._create_flat_graph()
    pipe._execgraph = pe.generate_expanded_graph(deepcopy(pipe._flatgraph))
    yield assert_equal, len(pipe._execgraph.nodes()), 1
    yield assert_equal, len(pipe._execgraph.edges()), 0

def test2():
    pipe = pe.Workflow(name='pipe')
    mod1 = pe.Node(interface=TestInterface(),name='mod1')
    mod1.iterables = dict(input1=lambda:[1,2],input2=lambda:[1,2])
    pipe.add_nodes([mod1])
    pipe._flatgraph = pipe._create_flat_graph()
    pipe._execgraph = pe.generate_expanded_graph(deepcopy(pipe._flatgraph))
    yield assert_equal, len(pipe._execgraph.nodes()), 4
    yield assert_equal, len(pipe._execgraph.edges()), 0

def test3():
    pipe = pe.Workflow(name='pipe')
    mod1 = pe.Node(interface=TestInterface(),name='mod1')
    mod1.iterables = {}
    mod2 = pe.Node(interface=TestInterface(),name='mod2')
    mod2.iterables = dict(input1=lambda:[1,2])
    pipe.connect([(mod1,mod2,[('output1','input2')])])
    pipe._flatgraph = pipe._create_flat_graph()
    pipe._execgraph = pe.generate_expanded_graph(deepcopy(pipe._flatgraph))
    yield assert_equal, len(pipe._execgraph.nodes()), 3
    yield assert_equal, len(pipe._execgraph.edges()), 2

def test4():
    pipe = pe.Workflow(name='pipe')
    mod1 = pe.Node(interface=TestInterface(),name='mod1')
    mod2 = pe.Node(interface=TestInterface(),name='mod2')
    mod1.iterables = dict(input1=lambda:[1,2])
    mod2.iterables = {}
    pipe.connect([(mod1,mod2,[('output1','input2')])])
    pipe._flatgraph = pipe._create_flat_graph()
    pipe._execgraph = pe.generate_expanded_graph(deepcopy(pipe._flatgraph))
    yield assert_equal, len(pipe._execgraph.nodes()), 4
    yield assert_equal, len(pipe._execgraph.edges()), 2

def test5():
    pipe = pe.Workflow(name='pipe')
    mod1 = pe.Node(interface=TestInterface(),name='mod1')
    mod2 = pe.Node(interface=TestInterface(),name='mod2')
    mod1.iterables = dict(input1=lambda:[1,2])
    mod2.iterables = dict(input1=lambda:[1,2])
    pipe.connect([(mod1,mod2,[('output1','input2')])])
    pipe._flatgraph = pipe._create_flat_graph()
    pipe._execgraph = pe.generate_expanded_graph(deepcopy(pipe._flatgraph))
    yield assert_equal, len(pipe._execgraph.nodes()), 6
    yield assert_equal, len(pipe._execgraph.edges()), 4

def test6():
    pipe = pe.Workflow(name='pipe')
    mod1 = pe.Node(interface=TestInterface(),name='mod1')
    mod2 = pe.Node(interface=TestInterface(),name='mod2')
    mod3 = pe.Node(interface=TestInterface(),name='mod3')
    mod1.iterables = {}
    mod2.iterables = dict(input1=lambda:[1,2])
    mod3.iterables = {}
    pipe.connect([(mod1,mod2,[('output1','input2')]),
                  (mod2,mod3,[('output1','input2')])])
    pipe._flatgraph = pipe._create_flat_graph()
    pipe._execgraph = pe.generate_expanded_graph(deepcopy(pipe._flatgraph))
    yield assert_equal, len(pipe._execgraph.nodes()), 5
    yield assert_equal, len(pipe._execgraph.edges()), 4

def test7():
    pipe = pe.Workflow(name='pipe')
    mod1 = pe.Node(interface=TestInterface(),name='mod1')
    mod2 = pe.Node(interface=TestInterface(),name='mod2')
    mod3 = pe.Node(interface=TestInterface(),name='mod3')
    mod1.iterables = dict(input1=lambda:[1,2])
    mod2.iterables = {}
    mod3.iterables = {}
    pipe.connect([(mod1,mod3,[('output1','input1')]),
                  (mod2,mod3,[('output1','input2')])])
    pipe._flatgraph = pipe._create_flat_graph()
    pipe._execgraph = pe.generate_expanded_graph(deepcopy(pipe._flatgraph))
    yield assert_equal, len(pipe._execgraph.nodes()), 5
    yield assert_equal, len(pipe._execgraph.edges()), 4

def test8():
    pipe = pe.Workflow(name='pipe')
    mod1 = pe.Node(interface=TestInterface(),name='mod1')
    mod2 = pe.Node(interface=TestInterface(),name='mod2')
    mod3 = pe.Node(interface=TestInterface(),name='mod3')
    mod1.iterables = dict(input1=lambda:[1,2])
    mod2.iterables = dict(input1=lambda:[1,2])
    mod3.iterables = {}
    pipe.connect([(mod1,mod3,[('output1','input1')]),
                  (mod2,mod3,[('output1','input2')])])
    pipe._flatgraph = pipe._create_flat_graph()
    pipe._execgraph = pe.generate_expanded_graph(deepcopy(pipe._flatgraph))
    yield assert_equal, len(pipe._execgraph.nodes()), 8
    yield assert_equal, len(pipe._execgraph.edges()), 8
    edgenum = sorted([(len(pipe._execgraph.in_edges(node)) + \
                           len(pipe._execgraph.out_edges(node))) \
                          for node in pipe._execgraph.nodes()])
    yield assert_true, edgenum[0]>0

def test_expansion():
    pipe1 = pe.Workflow(name='pipe1')
    mod1 = pe.Node(interface=TestInterface(),name='mod1')
    mod2 = pe.Node(interface=TestInterface(),name='mod2')
    pipe1.connect([(mod1,mod2,[('output1','input2')])])
    pipe2 = pe.Workflow(name='pipe2')
    mod3 = pe.Node(interface=TestInterface(),name='mod3')
    mod4 = pe.Node(interface=TestInterface(),name='mod4')
    pipe2.connect([(mod3,mod4,[('output1','input2')])])
    pipe3 = pe.Workflow(name="pipe3")
    pipe3.connect([(pipe1, pipe2, [('mod2.output1','mod4.input1')])])
    pipe4 = pe.Workflow(name="pipe4")
    mod5 = pe.Node(interface=TestInterface(),name='mod5')
    pipe4.add_nodes([mod5])
    pipe5 = pe.Workflow(name="pipe5")
    pipe5.add_nodes([pipe4])
    pipe6 = pe.Workflow(name="pipe6")
    pipe6.connect([(pipe5, pipe3, [('pipe4.mod5.output1','pipe2.mod3.input1')])])
    error_raised = False
    try:
        pipe6._flatgraph = pipe6._create_flat_graph()
    except:
        error_raised = True
    yield assert_false, error_raised

def test_iterable_expansion():
    import nipype.pipeline.engine as pe
    wf1 = pe.Workflow(name='test')
    node1 = pe.Node(TestInterface(),name='node1')
    node2 = pe.Node(TestInterface(),name='node2')
    node1.iterables = ('input1',[1,2])
    wf1.connect(node1,'output1', node2, 'input2')
    wf3 = pe.Workflow(name='group')
    for i in [0,1,2]:
        wf3.add_nodes([wf1.clone(name='test%d'%i)])
    wf3._flatgraph = wf3._create_flat_graph()
    yield assert_equal, len(pe.generate_expanded_graph(wf3._flatgraph).nodes()),12

def test_synchronize_expansion():
    import nipype.pipeline.engine as pe
    wf1 = pe.Workflow(name='test')
    node1 = pe.Node(TestInterface(),name='node1')
    node1.iterables = [('input1',[1,2]),('input2',[3,4,5])]
    node1.synchronize = True
    node2 = pe.Node(TestInterface(),name='node2')
    wf1.connect(node1,'output1', node2, 'input2')
    wf3 = pe.Workflow(name='group')
    for i in [0,1,2]:
        wf3.add_nodes([wf1.clone(name='test%d'%i)])
    wf3._flatgraph = wf3._create_flat_graph()
    # Each expanded graph clone has:
    # 3 node1 expansion nodes and
    # 1 node2 replicate per node1 replicate
    # => 2 * 3 = 6 nodes per expanded subgraph
    # => 18 nodes in the group
    yield assert_equal, len(pe.generate_expanded_graph(wf3._flatgraph).nodes()), 18

def test_synchronize_tuples_expansion():
    import nipype.pipeline.engine as pe
    wf1 = pe.Workflow(name='test')
    node1 = pe.Node(TestInterface(),name='node1')
    node2 = pe.Node(TestInterface(),name='node2')
    node1.iterables = [('input1','input2'), [(1,3), (2,4), (None,5)]]
    node1.synchronize = True
    wf1.connect(node1,'output1', node2, 'input2')
    wf3 = pe.Workflow(name='group')
    for i in [0,1,2]:
        wf3.add_nodes([wf1.clone(name='test%d'%i)])
    wf3._flatgraph = wf3._create_flat_graph()
    # Identical to test_synchronize_expansion
    yield assert_equal, len(pe.generate_expanded_graph(wf3._flatgraph).nodes()), 18

def test_itersource_expansion():
    import nipype.pipeline.engine as pe
    wf1 = pe.Workflow(name='test')
    node1 = pe.Node(TestInterface(),name='node1')
    node1.iterables = ('input1',[1,2])
    node2 = pe.Node(TestInterface(),name='node2')
    wf1.connect(node1,'output1', node2, 'input1')
    node3 = pe.Node(TestInterface(),name='node3')
    node3.itersource = ('node1', 'input1')
    node3.iterables = [('input1', {1:[3,4], 2:[5,6,7]})]
    wf1.connect(node2,'output1', node3, 'input1')
    node4 = pe.Node(TestInterface(),name='node4')
    wf1.connect(node3,'output1', node4, 'input1')
    wf3 = pe.Workflow(name='group')
    for i in [0,1,2]:
        wf3.add_nodes([wf1.clone(name='test%d'%i)])
    wf3._flatgraph = wf3._create_flat_graph()

    # each expanded graph clone has:
    # 2 node1 expansion nodes,
    # 1 node2 per node1 replicate,
    # 2 node3 replicates for the node1 input1 value 1,
    # 3 node3 replicates for the node1 input1 value 2 and
    # 1 node4 successor per node3 replicate
    # => 2 + 2 + (2 + 3) + 5 = 14 nodes per expanded graph clone
    # => 3 * 14 = 42 nodes in the group
    yield assert_equal, len(pe.generate_expanded_graph(wf3._flatgraph).nodes()), 42

def test_itersource_synchronize1_expansion():
    import nipype.pipeline.engine as pe
    wf1 = pe.Workflow(name='test')
    node1 = pe.Node(TestInterface(),name='node1')
    node1.iterables = [('input1',[1,2]), ('input2',[3,4])]
    node1.synchronize = True
    node2 = pe.Node(TestInterface(),name='node2')
    wf1.connect(node1,'output1', node2, 'input1')
    node3 = pe.Node(TestInterface(),name='node3')
    node3.itersource = ('node1', ['input1', 'input2'])
    node3.iterables = [('input1', {(1,3):[5,6]}),
                       ('input2', {(1,3):[7,8], (2,4): [9]})]
    wf1.connect(node2,'output1', node3, 'input1')
    node4 = pe.Node(TestInterface(),name='node4')
    wf1.connect(node3,'output1', node4, 'input1')
    wf3 = pe.Workflow(name='group')
    for i in [0,1,2]:
        wf3.add_nodes([wf1.clone(name='test%d'%i)])
    wf3._flatgraph = wf3._create_flat_graph()

    # each expanded graph clone has:
    # 2 node1 expansion nodes,
    # 1 node2 per node1 replicate,
    # 2 node3 replicates for the node1 input1 value 1,
    # 3 node3 replicates for the node1 input1 value 2 and
    # 1 node4 successor per node3 replicate
    # => 2 + 2 + (2 + 3) + 5 = 14 nodes per expanded graph clone
    # => 3 * 14 = 42 nodes in the group
    yield assert_equal, len(pe.generate_expanded_graph(wf3._flatgraph).nodes()), 42

def test_itersource_synchronize2_expansion():
    import nipype.pipeline.engine as pe
    wf1 = pe.Workflow(name='test')
    node1 = pe.Node(TestInterface(),name='node1')
    node1.iterables = [('input1',[1,2]), ('input2',[3,4])]
    node1.synchronize = True
    node2 = pe.Node(TestInterface(),name='node2')
    wf1.connect(node1,'output1', node2, 'input1')
    node3 = pe.Node(TestInterface(),name='node3')
    node3.itersource = ('node1', ['input1', 'input2'])
    node3.synchronize = True
    node3.iterables = [('input1', 'input2'),
                       {(1,3):[(5,7), (6,8)], (2,4):[(None,9)]}]
    wf1.connect(node2,'output1', node3, 'input1')
    node4 = pe.Node(TestInterface(),name='node4')
    wf1.connect(node3,'output1', node4, 'input1')
    wf3 = pe.Workflow(name='group')
    for i in [0,1,2]:
        wf3.add_nodes([wf1.clone(name='test%d'%i)])
    wf3._flatgraph = wf3._create_flat_graph()

    # each expanded graph clone has:
    # 2 node1 expansion nodes,
    # 1 node2 per node1 replicate,
    # 2 node3 replicates for the node1 input1 value 1,
    # 1 node3 replicates for the node1 input1 value 2 and
    # 1 node4 successor per node3 replicate
    # => 2 + 2 + (2 + 1) + 3 = 10 nodes per expanded graph clone
    # => 3 * 10 = 30 nodes in the group
    yield assert_equal, len(pe.generate_expanded_graph(wf3._flatgraph).nodes()), 30

def test_disconnect():
    import nipype.pipeline.engine as pe
    from nipype.interfaces.utility import IdentityInterface
    a = pe.Node(IdentityInterface(fields=['a','b']),name='a')
    b = pe.Node(IdentityInterface(fields=['a','b']),name='b')
    flow1 = pe.Workflow(name='test')
    flow1.connect(a,'a',b,'a')
    flow1.disconnect(a,'a',b,'a')
    yield assert_equal, flow1._graph.edges(), []

def test_doubleconnect():
    import nipype.pipeline.engine as pe
    from nipype.interfaces.utility import IdentityInterface
    a = pe.Node(IdentityInterface(fields=['a','b']),name='a')
    b = pe.Node(IdentityInterface(fields=['a','b']),name='b')
    flow1 = pe.Workflow(name='test')
    flow1.connect(a,'a',b,'a')
    x = lambda: flow1.connect(a,'b',b,'a')
    yield assert_raises, Exception, x
    c = pe.Node(IdentityInterface(fields=['a','b']),name='c')
    flow1 = pe.Workflow(name='test2')
    x = lambda : flow1.connect([(a, c, [('b', 'b')]), (b, c, [('a', 'b')])])
    yield assert_raises, Exception, x


'''
Test for order of iterables

import nipype.pipeline.engine as pe
import nipype.interfaces.utility as niu

wf1 = pe.Workflow(name='wf1')
node1 = pe.Node(interface=niu.IdentityInterface(fields=['a1','b1']), name='node1')
node1.iterables = ('a1', [1,2])
wf1.add_nodes([node1])

wf2 = pe.Workflow(name='wf2')
node2 = pe.Node(interface=niu.IdentityInterface(fields=['a2','b2']), name='node2')
wf2.add_nodes([node2])
wf1.connect(node1, 'a1', wf2, 'node2.a2')

node4 = pe.Node(interface=niu.IdentityInterface(fields=['a4','b4']), name='node4')
#node4.iterables = ('a4', [5,6])
wf2.connect(node2, 'b2', node4, 'b4')

wf3 = pe.Workflow(name='wf3')
node3 = pe.Node(interface=niu.IdentityInterface(fields=['a3','b3']), name='node3')
node3.iterables = ('b3', [3,4])
wf3.add_nodes([node3])
wf1.connect(wf3, 'node3.b3', wf2, 'node2.b2')

wf1.base_dir = os.path.join(os.getcwd(),'testit')
wf1.run(inseries=True, createdirsonly=True)

wf1.write_graph(graph2use='exec')
'''

'''
import nipype.pipeline.engine as pe
import nipype.interfaces.spm as spm
import os
from nipype.utils.config import config
from StringIO import StringIO

config.readfp(StringIO("""
[execution]
remove_unnecessary_outputs = true
"""))


segment = pe.Node(interface=spm.Segment(), name="segment")
segment.inputs.data = os.path.abspath("data/T1.nii")
segment.inputs.gm_output_type = [True, True, True]
segment.inputs.wm_output_type = [True, True, True]


smooth_gm = pe.Node(interface=spm.Smooth(), name="smooth_gm")

workflow = pe.Workflow(name="workflow_cleanup_test")
workflow.base_dir = os.path.abspath('./workflow_cleanup_test')

workflow.connect([(segment, smooth_gm, [('native_gm_image','in_files')])])

workflow.run()

#adding new node that uses one of the previously deleted outputs of segment; this should force segment to rerun
smooth_wm = pe.Node(interface=spm.Smooth(), name="smooth_wm")

workflow.connect([(segment, smooth_wm, [('native_wm_image','in_files')])])

workflow.run()

workflow.run()
'''

# Node
def test_node_init():
    yield assert_raises, Exception, pe.Node
    try:
        node = pe.Node(TestInterface, name='test')
    except IOError:
        exception = True
    else:
        exception = False
    yield assert_true, exception

def test_workflow_add():
    from nipype.interfaces.utility import IdentityInterface as ii
    n1 = pe.Node(ii(fields=['a','b']),name='n1')
    n2 = pe.Node(ii(fields=['c','d']),name='n2')
    n3 = pe.Node(ii(fields=['c','d']),name='n1')
    w1 = pe.Workflow(name='test')
    w1.connect(n1,'a',n2,'c')
    yield assert_raises, IOError, w1.add_nodes, [n1]
    yield assert_raises, IOError, w1.add_nodes, [n2]
    yield assert_raises, IOError, w1.add_nodes, [n3]
    yield assert_raises, IOError, w1.connect, [(w1,n2,[('n1.a','d')])]


def test_node_get_output():
    mod1 = pe.Node(interface=TestInterface(),name='mod1')
    mod1.inputs.input1 = 1
    mod1.run()
    yield assert_equal, mod1.get_output('output1'), [1, 1]
    mod1._result = None
    yield assert_equal, mod1.get_output('output1'), [1, 1]


def test_mapnode_iterfield_check():
    mod1 = pe.MapNode(TestInterface(),
                      iterfield=['input1'],
                      name='mod1')
    yield assert_raises, ValueError, mod1._check_iterfield
    mod1 = pe.MapNode(TestInterface(),
                      iterfield=['input1', 'input2'],
                      name='mod1')
    mod1.inputs.input1 = [1,2]
    mod1.inputs.input2 = 3
    yield assert_raises, ValueError, mod1._check_iterfield


def test_node_hash():
    cwd = os.getcwd()
    wd = mkdtemp()
    os.chdir(wd)
    from nipype.interfaces.utility import Function
    def func1():
        return 1
    def func2(a):
        return a+1
    n1 = pe.Node(Function(input_names=[],
                          output_names=['a'],
                          function=func1),
                 name='n1')
    n2 = pe.Node(Function(input_names=['a'],
                          output_names=['b'],
                          function=func2),
                 name='n2')
    w1 = pe.Workflow(name='test')
    modify = lambda x: x+1
    n1.inputs.a = 1
    w1.connect(n1, ('a', modify), n2,'a')
    w1.base_dir = wd
    # generate outputs
    w1.run(plugin='Linear')
    # ensure plugin is being called
    w1.config['execution'] = {'stop_on_first_crash': 'true',
                              'local_hash_check': 'false',
                              'crashdump_dir': wd}
    error_raised = False
    # create dummy distributed plugin class
    from nipype.pipeline.plugins.base import DistributedPluginBase
    class RaiseError(DistributedPluginBase):
        def _submit_job(self, node, updatehash=False):
            raise Exception('Submit called')
    try:
        w1.run(plugin=RaiseError())
    except Exception, e:
        pe.logger.info('Exception: %s' % str(e))
        error_raised = True
    yield assert_true, error_raised
    #yield assert_true, 'Submit called' in e
    # rerun to ensure we have outputs
    w1.run(plugin='Linear')
    # set local check
    w1.config['execution'] = {'stop_on_first_crash': 'true',
                              'local_hash_check': 'true',
                              'crashdump_dir': wd}
    error_raised = False
    try:
        w1.run(plugin=RaiseError())
    except Exception, e:
        pe.logger.info('Exception: %s' % str(e))
        error_raised = True
    yield assert_false, error_raised
    os.chdir(cwd)
    rmtree(wd)

def test_old_config():
    cwd = os.getcwd()
    wd = mkdtemp()
    os.chdir(wd)
    from nipype.interfaces.utility import Function
    def func1():
        return 1
    def func2(a):
        return a+1
    n1 = pe.Node(Function(input_names=[],
                          output_names=['a'],
                          function=func1),
                 name='n1')
    n2 = pe.Node(Function(input_names=['a'],
                          output_names=['b'],
                          function=func2),
                 name='n2')
    w1 = pe.Workflow(name='test')
    modify = lambda x: x+1
    n1.inputs.a = 1
    w1.connect(n1, ('a', modify), n2,'a')
    w1.base_dir = wd

    w1.config = {'crashdump_dir': wd}
    # generate outputs
    error_raised = False
    try:
        w1.run(plugin='Linear')
    except Exception, e:
        pe.logger.info('Exception: %s' % str(e))
        error_raised = True
    yield assert_false, error_raised
    os.chdir(cwd)
    rmtree(wd)


def test_mapnode_json():
    """Tests that mapnodes don't generate excess jsons
    """
    cwd = os.getcwd()
    wd = mkdtemp()
    os.chdir(wd)
    from nipype import MapNode, Function, Workflow
    def func1(in1):
        return in1 + 1
    n1 = MapNode(Function(input_names=['in1'],
                          output_names=['out'],
                          function=func1),
                 iterfield=['in1'],
                 name='n1')
    n1.inputs.in1 = [1]
    w1 = Workflow(name='test')
    w1.base_dir = wd
    w1.config = {'crashdump_dir': wd}
    w1.add_nodes([n1])
    w1.run()
    n1.inputs.in1 = [2]
    w1.run()
    # should rerun
    n1.inputs.in1 = [1]
    eg = w1.run()

    node = eg.nodes()[0]
    outjson = glob(os.path.join(node.output_dir(), '_0x*.json'))
    yield assert_equal, len(outjson), 1

    # check that multiple json's don't trigger rerun
    with open(os.path.join(node.output_dir(), 'test.json'), 'wt') as fp:
        fp.write('dummy file')
    w1.config['execution'].update(**{'stop_on_first_rerun': True})
    error_raised = False
    try:
        w1.run()
    except:
        error_raised = True
    yield assert_false, error_raised
    os.chdir(cwd)
    rmtree(wd)
