/usr/lib/python2.7/dist-packages/mdp/test/test_flows.py is in python-mdp 3.5-1.
This file is owned by root:root, with mode 0o644.
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standard_library.install_aliases()
from builtins import range
from builtins import object
import tempfile
import pickle
import pickle
import os
from ._tools import *
uniform = numx_rand.random
def _get_default_flow(flow_class=mdp.Flow, node_class=BogusNode):
flow = flow_class([node_class(),node_class(),node_class()])
return flow
# CheckpointFunction used in testCheckpointFunction
class _CheckpointCollectFunction(mdp.CheckpointFunction):
def __init__(self):
self.classes = []
# collect the classes of the nodes it checks
def __call__(self, node):
self.classes.append(node.__class__)
def testFlow():
inp = numx.ones((100,3))
flow = _get_default_flow()
for i in range(len(flow)):
assert not flow.flow[i].is_training(), \
'Training of node #%d has not been closed.' % i
out = flow(inp)
assert_array_equal(out,(2**len(flow))*inp)
rec = flow.inverse(out)
assert_array_equal(rec,inp)
def testFlow_copy():
dummy_list = [1,2,3]
flow = _get_default_flow()
flow[0].dummy_attr = dummy_list
copy_flow = flow.copy()
assert flow[0].dummy_attr == copy_flow[0].dummy_attr, \
'Flow copy method did not work'
copy_flow[0].dummy_attr[0] = 10
assert flow[0].dummy_attr != copy_flow[0].dummy_attr, \
'Flow copy method did not work'
def test_Flow_copy_with_lambda():
generic_node = mdp.Node()
generic_node.lambda_function = lambda: 1
generic_flow = mdp.Flow([generic_node])
generic_flow.copy()
def testFlow_save():
dummy_list = [1,2,3]
flow = _get_default_flow()
flow[0].dummy_attr = dummy_list
# test string save
copy_flow_pic = flow.save(None)
copy_flow = pickle.loads(copy_flow_pic)
assert flow[0].dummy_attr == copy_flow[0].dummy_attr, \
'Flow save (string) method did not work'
copy_flow[0].dummy_attr[0] = 10
assert flow[0].dummy_attr != copy_flow[0].dummy_attr, \
'Flow save (string) method did not work'
# test file save
dummy_file = tempfile.mktemp(prefix='MDP_', suffix=".pic",
dir=py.test.mdp_tempdirname)
flow.save(dummy_file, protocol=1)
dummy_file = open(dummy_file, 'rb')
copy_flow = pickle.load(dummy_file)
assert flow[0].dummy_attr == copy_flow[0].dummy_attr, \
'Flow save (file) method did not work'
copy_flow[0].dummy_attr[0] = 10
assert flow[0].dummy_attr != copy_flow[0].dummy_attr, \
'Flow save (file) method did not work'
def testFlow_container_privmethods():
mat,mix,inp = get_random_mix(mat_dim=(100,3))
flow = _get_default_flow()
# test __len__
assert_equal(len(flow), len(flow.flow))
# test __?etitem__, integer key
for i in range(len(flow)):
assert flow[i]==flow.flow[i], \
'__getitem__ returned wrong node %d' % i
new_node = BogusNode()
flow[i] = new_node
assert flow[i]==new_node, '__setitem__ did not set node %d' % i
# test __?etitem__, normal slice -> this fails for python < 2.2 and
# if Flow is a subclassed from builtin 'list'
flowslice = flow[0:2]
assert isinstance(flowslice,mdp.Flow), \
'__getitem__ slice is not a Flow instance'
assert len(flowslice) == 2, '__getitem__ returned wrong slice size'
new_nodes_list = [BogusNode(), BogusNode()]
flow[:2] = new_nodes_list
assert (flow[0] == new_nodes_list[0]) and \
(flow[1] == new_nodes_list[1]), '__setitem__ did not set slice'
# test__?etitem__, extended slice
flowslice = flow[:2:1]
assert isinstance(flowslice,mdp.Flow), \
'__getitem__ slice is not a Flow instance'
assert len(flowslice) == 2, '__getitem__ returned wrong slice size'
new_nodes_list = [BogusNode(), BogusNode()]
flow[:2:1] = new_nodes_list
assert (flow[0] == new_nodes_list[0]) and \
(flow[1] == new_nodes_list[1]), '__setitem__ did not set slice'
# test __delitem__, integer key
copy_flow = mdp.Flow(flow[:])
del copy_flow[0]
assert len(copy_flow) == len(flow)-1, '__delitem__ did not del'
for i in range(len(copy_flow)):
assert copy_flow[i] == flow[i+1], '__delitem__ deleted wrong node'
# test __delitem__, normal slice
copy_flow = mdp.Flow(flow[:])
del copy_flow[:2]
assert len(copy_flow) == len(flow)-2, \
'__delitem__ did not del normal slice'
assert copy_flow[0] == flow[2], \
'__delitem__ deleted wrong normal slice'
# test __delitem__, extended slice
copy_flow = mdp.Flow(flow[:])
del copy_flow[:2:1]
assert len(copy_flow) == len(flow)-2, \
'__delitem__ did not del extended slice'
assert copy_flow[0] == flow[2], \
'__delitem__ deleted wrong extended slice'
# test __add__
newflow = flow + flow
assert len(newflow) == len(flow)*2, '__add__ did not work'
def testFlow_container_listmethods():
# for all methods try using a node with right dimensionality
# and one with wrong dimensionality
flow = _get_default_flow()
length = len(flow)
# we test __contains__ and __iter__ with the for loop
for node in flow:
node.input_dim = 10
node.output_dim = 10
# append
newnode = BogusNode(input_dim=10, output_dim=10)
flow.append(newnode)
assert_equal(len(flow), length+1)
length = len(flow)
try:
newnode = BogusNode(input_dim=11)
flow.append(newnode)
raise Exception('flow.append appended inconsistent node')
except ValueError:
assert_equal(len(flow), length)
# extend
newflow = flow.copy()
flow.extend(newflow)
assert_equal(len(flow), 2*length)
length = len(flow)
try:
newflow = _get_default_flow()
for idx in range(len(newflow)):
if idx == 0:
newflow[idx].input_dim = 11
else:
newflow[idx].input_dim = 10
newflow[idx].output_dim = 10
flow.extend(newflow)
raise Exception('flow.extend appended inconsistent flow')
except ValueError:
assert_equal(len(flow), length)
# insert
newnode = BogusNode(input_dim=10, output_dim=None)
flow.insert(2, newnode)
assert_equal(len(flow), length+1)
length = len(flow)
try:
newnode = BogusNode(output_dim=11)
flow.insert(2, newnode)
raise Exception('flow.insert inserted inconsistent node')
except ValueError:
assert_equal(len(flow), length)
# pop
oldnode = flow[5]
popnode = flow.pop(5)
assert oldnode == popnode, 'flow.pop popped wrong node out'
assert_equal(len(flow), length-1)
# pop - test Flow._check_nodes_consistency
flow = _get_default_flow() + _get_default_flow()
length = len(flow)
flow[3].output_dim = 2
flow[4].input_dim = 2
flow[4].output_dim = 3
flow[5].input_dim = 3
flow._check_nodes_consistency(flow.flow)
try:
nottobepopped = flow.pop(4)
raise Exception('flow.pop left inconsistent flow')
except ValueError:
assert_equal(len(flow), length)
def testFlow_append_node_copy():
# when appending a node to a flow,
# we don't want the flow to be a copy!
node1 = BogusNode()
node2 = BogusNode()
flow = mdp.Flow([node1])
flow += node2
assert flow[0] is node1
def testFlow_iadd():
# check that in-place adding to flow does not return new flow
node1 = BogusNode()
node2 = BogusNode()
node3 = BogusNode()
flow = mdp.Flow([node1])
oldflow = flow
flow += node2
assert oldflow is flow
flow += mdp.Flow([node3])
assert oldflow is flow
def testFlow_as_sum_of_nodes():
node1 = BogusNode()
node2 = BogusNode()
flow = node1+node2
assert type(flow) is mdp.Flow
assert len(flow) == 2
node3 = BogusNode()
flow = node1+node2+node3
assert type(flow) is mdp.Flow
assert len(flow) == 3
node4 = BogusNode()
flow = node4 + flow
assert type(flow) is mdp.Flow
assert len(flow) == 4
def testFlowWrongItarableException():
samples = mdp.numx_rand.random((100,10))
labels = mdp.numx.arange(100)
flow = mdp.Flow([mdp.nodes.PCANode(), mdp.nodes.FDANode()])
try:
flow.train([[samples], [samples, labels]])
# correct line would be (note the second iterable):
# flow.train([[[samples]], [[samples, labels]]])
# should trigger exception for missing train argument for FDANode
err = "Flow did not raise FlowException for wrong iterable."
raise Exception(err)
except mdp.FlowException:
pass
try:
# try to give one argument too much!
flow.train([[[samples]], [[samples, labels, labels]]])
err = "Flow did not raise FlowException for wrong iterable."
raise Exception(err)
except mdp.FlowException:
pass
def testCheckpointFlow():
lst = []
# checkpoint function, it collects a '1' for each call
def cfunc(node, lst = lst):
lst.append(1)
mat,mix,inp = get_random_mix(mat_dim=(100,3))
flow = _get_default_flow(flow_class = mdp.CheckpointFlow,
node_class = BogusNodeTrainable)
flow.train(inp, cfunc)
#
assert len(lst)==len(flow), \
'The checkpoint function has been called %d times instead of %d times.' % (len(lst), len(flow))
def testCheckpointFunction():
cfunc = _CheckpointCollectFunction()
mat,mix,inp = get_random_mix(mat_dim=(100,3))
flow = _get_default_flow(flow_class = mdp.CheckpointFlow,
node_class = BogusNodeTrainable)
flow.train(inp, cfunc)
#
for i in range(len(flow)):
assert flow[i].__class__==cfunc.classes[i], 'Wrong class collected'
def testCrashRecovery():
flow = mdp.Flow([BogusExceptNode()])
flow.set_crash_recovery(1)
try:
flow.train(mdp.numx.zeros((1,2), 'd'))
except Exception as e:
assert isinstance(e,mdp.FlowExceptionCR)
with open(e.filename, 'rb') as fl:
pic_flow = pickle.load(fl)
os.remove(e.filename)
assert flow[0].bogus_attr == pic_flow[0].bogus_attr
flow.set_crash_recovery(0)
try:
flow.execute([None])
except Exception as e:
assert isinstance(e,mdp.FlowExceptionCR)
assert not hasattr(e,'filename')
def testCrashRecoveryException():
a = 3
try:
raise mdp.CrashRecoveryException('bogus errstr', a, Exception())
except mdp.CrashRecoveryException as e:
filename1 = e.dump()
filename2 = e.dump(tempfile.mkstemp(prefix='MDP_',
dir=py.test.mdp_tempdirname)[1])
assert isinstance(e.parent_exception, Exception)
for fname in filename1, filename2:
fl = open(fname, 'rb')
obj = pickle.load(fl)
fl.close()
try:
os.remove(fname)
except Exception:
pass
assert obj == a
def testMultiplePhases():
# test basic multiple phase sequence
flow = mdp.Flow([BogusMultiNode()])
flow.train(mdp.numx.zeros((1,2), 'd'))
assert flow[0].visited == [1,2,3,4]
# try to use an iterable to train it, check for rewinds
class TestIterable(object):
def __init__(self):
self.used = 0
def __iter__(self):
self.used += 1
yield mdp.numx.zeros((1,2), 'd')
flow = mdp.Flow([BogusMultiNode()])
iterable = TestIterable()
flow.train([iterable])
assert iterable.used == 2
# should not work with an iterator
def testgenerator():
yield mdp.numx.zeros((1,2), 'd')
flow = mdp.Flow([BogusMultiNode()])
try:
flow.train([testgenerator()])
raise Exception('Expected mdp.FlowException')
except mdp.FlowException:
pass
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