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nupic tests, Raspbian Stretch, attempt #1
Raw
gistfile1.txt
============================= test session starts ==============================
platform linux2 -- Python 2.7.13, pytest-3.0.7, py-1.5.2, pluggy-0.4.0
rootdir: /home/pi/nupic, inifile:
plugins: xdist-1.16.0, cov-2.5.0
collected 734 items
tests/unit/nupic/serializable_test.py ..
tests/unit/nupic/utils_test.py ......
tests/unit/nupic/algorithms/anomaly_likelihood_jeff_test.py ...ss..
tests/unit/nupic/algorithms/anomaly_likelihood_test.py .....................
tests/unit/nupic/algorithms/anomaly_test.py ..............
tests/unit/nupic/algorithms/backtracking_tm_constant_test.py *** Synapse consistency checking turned on for Cells4 ***
.*** Synapse consistency checking turned on for Cells4 ***
.*** Synapse consistency checking turned on for Cells4 ***
.
tests/unit/nupic/algorithms/backtracking_tm_cpp2_test.py *** Synapse consistency checking turned on for Cells4 ***
*** Python segment match turned on for Cells4
.
tests/unit/nupic/algorithms/backtracking_tm_cpp_test.py ....FFF
tests/unit/nupic/algorithms/backtracking_tm_test.py ....FFF
tests/unit/nupic/algorithms/connections_test.py .........
tests/unit/nupic/algorithms/inhibition_object_test.py s
tests/unit/nupic/algorithms/knn_classifier_test.py .........s...
tests/unit/nupic/algorithms/sdr_classifier_test.py ...........................
tests/unit/nupic/algorithms/sp_learn_inference_test.py s
tests/unit/nupic/algorithms/sp_overlap_test.py .s.s
tests/unit/nupic/algorithms/spatial_pooler_boost_test.py ..
tests/unit/nupic/algorithms/spatial_pooler_compatability_test.py ...ss....
tests/unit/nupic/algorithms/spatial_pooler_compute_test.py ..
tests/unit/nupic/algorithms/spatial_pooler_cpp_api_test.py ............................
tests/unit/nupic/algorithms/spatial_pooler_cpp_unit_test.py ....
tests/unit/nupic/algorithms/spatial_pooler_py_api_test.py ............................
tests/unit/nupic/algorithms/spatial_pooler_unit_test.py s..............................F....
tests/unit/nupic/algorithms/temporal_memory_test.py ...............................s.....s.
tests/unit/nupic/algorithms/monitor_mixin/metric_test.py ..
tests/unit/nupic/algorithms/monitor_mixin/trace_test.py ..
tests/unit/nupic/data/aggregator_test.py .
tests/unit/nupic/data/dictutils_test.py ......
tests/unit/nupic/data/fieldmeta_test.py .....
tests/unit/nupic/data/file_record_stream_test.py ......
tests/unit/nupic/data/filters_test.py s
tests/unit/nupic/data/functionsource_test.py ......
tests/unit/nupic/data/inference_shifter_test.py ........
tests/unit/nupic/data/record_stream_test.py .......
tests/unit/nupic/data/utils_test.py .......
tests/unit/nupic/data/generators/anomalyzer_test.py ...........
tests/unit/nupic/data/generators/pattern_machine_test.py .........
tests/unit/nupic/data/generators/sequence_machine_test.py .....
tests/unit/nupic/docs/examples_test.py .xx.xxxxxx
tests/unit/nupic/encoders/adaptivescalar_test.py .......
tests/unit/nupic/encoders/category_test.py ..
tests/unit/nupic/encoders/coordinate_test.py .................
tests/unit/nupic/encoders/date_test.py ........
tests/unit/nupic/encoders/delta_test.py .....
tests/unit/nupic/encoders/geospatial_coordinate_test.py ...........
tests/unit/nupic/encoders/logenc_test.py ......
tests/unit/nupic/encoders/multi_test.py ..
tests/unit/nupic/encoders/pass_through_encoder_test.py ....
tests/unit/nupic/encoders/random_distributed_scalar_test.py ...............
tests/unit/nupic/encoders/scalar_test.py .............
tests/unit/nupic/encoders/scalarspace_test.py .
tests/unit/nupic/encoders/sdrcategory_test.py ...
tests/unit/nupic/encoders/sparse_pass_through_encoder_test.py .....
tests/unit/nupic/engine/network_test.py FF..F.FFFFF
tests/unit/nupic/engine/syntactic_sugar_test.py .F...
tests/unit/nupic/engine/unified_py_parameter_test.py ..
tests/unit/nupic/frameworks/opf/htmpredictionmodel_classifier_helper_test.py ......................
tests/unit/nupic/frameworks/opf/htmpredictionmodel_test.py ......
tests/unit/nupic/frameworks/opf/opf_metrics_test.py ...............................
tests/unit/nupic/frameworks/opf/previous_value_model_test.py .......
tests/unit/nupic/frameworks/opf/safe_interpreter_test.py ........
tests/unit/nupic/frameworks/opf/two_gram_model_test.py ......
tests/unit/nupic/frameworks/opf/common_models/cluster_params_test.py .
tests/unit/nupic/math/lgamma_test.py .
tests/unit/nupic/math/topology_test.py ....................
tests/unit/nupic/regions/anomaly_likelihood_region_test.py ...
tests/unit/nupic/regions/anomaly_region_test.py F
tests/unit/nupic/regions/knn_anomaly_classifier_region_test.py .....................
tests/unit/nupic/regions/knn_classifier_region_test.py .
tests/unit/nupic/regions/record_sensor_region_test.py ...
tests/unit/nupic/regions/regions_spec_test.py s...s......
tests/unit/nupic/regions/sdr_classifier_region_test.py ..
tests/unit/nupic/regions/tm_region_test.py ....
tests/unit/nupic/support/configuration_test.py ............s....................
tests/unit/nupic/support/custom_configuration_test.py ...................s.........................
tests/unit/nupic/support/decorators_test.py ............
tests/unit/nupic/support/group_by_test.py ......
tests/unit/nupic/support/object_json_test.py ...............
tests/unit/nupic/support/consoleprinter_test/consoleprinter_test.py .
=================================== FAILURES ===================================
_________________ BacktrackingTMTest.testSerializationLearned __________________
self = <tests.unit.nupic.algorithms.backtracking_tm_test.BacktrackingTMTest testMethod=testSerializationLearned>
@unittest.skipUnless(capnp, "pycapnp not installed")
def testSerializationLearned(self):
# Create a model and give it some inputs to learn.
tm1 = BacktrackingTM(numberOfCols=100, cellsPerColumn=12,
verbosity=VERBOSITY)
sequences = [self.generateSequence() for _ in xrange(5)]
train = list(itertools.chain.from_iterable(sequences[:3]))
for bottomUpInput in train:
if bottomUpInput is None:
tm1.reset()
else:
tm1.compute(bottomUpInput, True, True)
# Serialize and deserialized the TM.
tmProto = BacktrackingTM.getSchema().new_message()
tm1.write(tmProto)
checkpointPath = os.path.join(self._tmpDir, 'a')
with open(checkpointPath, "wb") as f:
tmProto.write(f)
with open(checkpointPath, "rb") as f:
tmProto = BacktrackingTM.getSchema().read(f)
tm2 = BacktrackingTM.read(tmProto)
# Check that the TMs are the same.
> self.assertTMsEqual(tm1, tm2)
tests/unit/nupic/algorithms/backtracking_tm_test.py:89:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
tests/unit/nupic/algorithms/backtracking_tm_test.py:348: in assertTMsEqual
self.assertEqual(tm1, tm2, tm1.diff(tm2))
E AssertionError: <nupic.algorithms.backtracking_tm_cpp.BacktrackingTMCPP object at 0x73df3b10> != <nupic.algorithms.backtracking_tm_cpp.BacktrackingTMCPP object at 0x73df3f90> : [(('maxSynapsesPerSegment',), -1, -1L), (('maxSegmentsPerCell',), -1, -1L), (('seed',), 42, 42L)]
----------------------------- Captured stdout call -----------------------------
<nupic.bindings.algorithms.Cells4; proxy of <Swig Object of type 'nupic::algorithms::Cells4::Cells4 *' at 0x73ed6f38> >
_____________ BacktrackingTMTest.testSerializationMiddleOfSequence _____________
self = <tests.unit.nupic.algorithms.backtracking_tm_test.BacktrackingTMTest testMethod=testSerializationMiddleOfSequence>
@unittest.skipUnless(capnp, "pycapnp not installed")
def testSerializationMiddleOfSequence(self):
# Create a model and give it some inputs to learn.
tm1 = BacktrackingTM(numberOfCols=100, cellsPerColumn=12,
verbosity=VERBOSITY)
sequences = [self.generateSequence() for _ in xrange(5)]
train = list(itertools.chain.from_iterable(sequences[:3] +
[sequences[3][:5]]))
for bottomUpInput in train:
if bottomUpInput is None:
tm1.reset()
else:
tm1.compute(bottomUpInput, True, True)
# Serialize and deserialized the TM.
tmProto = BacktrackingTM.getSchema().new_message()
tm1.write(tmProto)
checkpointPath = os.path.join(self._tmpDir, 'a')
with open(checkpointPath, "wb") as f:
tmProto.write(f)
with open(checkpointPath, "rb") as f:
tmProto = BacktrackingTM.getSchema().read(f)
tm2 = BacktrackingTM.read(tmProto)
# Check that the TMs are the same.
> self.assertTMsEqual(tm1, tm2)
tests/unit/nupic/algorithms/backtracking_tm_test.py:130:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
tests/unit/nupic/algorithms/backtracking_tm_test.py:348: in assertTMsEqual
self.assertEqual(tm1, tm2, tm1.diff(tm2))
E AssertionError: <nupic.algorithms.backtracking_tm_cpp.BacktrackingTMCPP object at 0x5ed520d0> != <nupic.algorithms.backtracking_tm_cpp.BacktrackingTMCPP object at 0x55cdb8d0> : [(('maxSynapsesPerSegment',), -1, -1L), (('maxSegmentsPerCell',), -1, -1L), (('seed',), 42, 42L)]
----------------------------- Captured stdout call -----------------------------
<nupic.bindings.algorithms.Cells4; proxy of <Swig Object of type 'nupic::algorithms::Cells4::Cells4 *' at 0x73ed6b48> >
____________ BacktrackingTMTest.testSerializationMiddleOfSequence2 _____________
self = <tests.unit.nupic.algorithms.backtracking_tm_test.BacktrackingTMTest testMethod=testSerializationMiddleOfSequence2>
@unittest.skipUnless(capnp, "pycapnp not installed")
def testSerializationMiddleOfSequence2(self):
"""More complex test of checkpointing in the middle of a sequence."""
tm1 = BacktrackingTM(2048, 32, 0.21, 0.5, 11, 20, 0.1, 0.1, 1.0, 0.0, 14,
False, 5, 2, False, 1960, 0, False, 3, 10, 5, 0, 32,
128, 32, 'normal')
tm2 = BacktrackingTM(2048, 32, 0.21, 0.5, 11, 20, 0.1, 0.1, 1.0, 0.0, 14,
False, 5, 2, False, 1960, 0, False, 3, 10, 5, 0, 32,
128, 32, 'normal')
with open(resource_filename(__name__, 'data/tm_input.csv'), 'r') as fin:
reader = csv.reader(fin)
records = []
for bottomUpInStr in fin:
bottomUpIn = numpy.array(eval('[' + bottomUpInStr.strip() + ']'),
dtype='int32')
records.append(bottomUpIn)
i = 1
for r in records[:250]:
print i
i += 1
output1 = tm1.compute(r, True, True)
output2 = tm2.compute(r, True, True)
self.assertTrue(numpy.array_equal(output1, output2))
print 'Serializing and deserializing models.'
savePath1 = os.path.join(self._tmpDir, 'tm1.bin')
tmProto1 = BacktrackingTM.getSchema().new_message()
tm1.write(tmProto1)
with open(savePath1, "wb") as f:
tmProto1.write(f)
with open(savePath1, "rb") as f:
tmProto3 = BacktrackingTM.getSchema().read(f)
tm3 = BacktrackingTM.read(tmProto3)
savePath2 = os.path.join(self._tmpDir, 'tm2.bin')
tmProto2 = BacktrackingTM.getSchema().new_message()
tm2.write(tmProto2)
with open(savePath2, "wb") as f:
tmProto2.write(f)
with open(savePath2, "rb") as f:
tmProto4 = BacktrackingTM.getSchema().read(f)
tm4 = BacktrackingTM.read(tmProto4)
> self.assertTMsEqual(tm1, tm3)
tests/unit/nupic/algorithms/backtracking_tm_test.py:193:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
tests/unit/nupic/algorithms/backtracking_tm_test.py:348: in assertTMsEqual
self.assertEqual(tm1, tm2, tm1.diff(tm2))
E AssertionError: <nupic.algorithms.backtracking_tm_cpp.BacktrackingTMCPP object at 0x55cf0030> != <nupic.algorithms.backtracking_tm_cpp.BacktrackingTMCPP object at 0x73db3cb0> : [(('maxSynapsesPerSegment',), 32, 32L), (('maxSegmentsPerCell',), 128, 128L), (('seed',), 1960, 1960L)]
----------------------------- Captured stdout call -----------------------------
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Serializing and deserializing models.
<nupic.bindings.algorithms.Cells4; proxy of <Swig Object of type 'nupic::algorithms::Cells4::Cells4 *' at 0x73ed6f20> >
<nupic.bindings.algorithms.Cells4; proxy of <Swig Object of type 'nupic::algorithms::Cells4::Cells4 *' at 0x73ed6da0> >
_________________ BacktrackingTMTest.testSerializationLearned __________________
self = <tests.unit.nupic.algorithms.backtracking_tm_test.BacktrackingTMTest testMethod=testSerializationLearned>
@unittest.skipUnless(capnp, "pycapnp not installed")
def testSerializationLearned(self):
# Create a model and give it some inputs to learn.
tm1 = BacktrackingTM(numberOfCols=100, cellsPerColumn=12,
verbosity=VERBOSITY)
sequences = [self.generateSequence() for _ in xrange(5)]
train = list(itertools.chain.from_iterable(sequences[:3]))
for bottomUpInput in train:
if bottomUpInput is None:
tm1.reset()
else:
tm1.compute(bottomUpInput, True, True)
# Serialize and deserialized the TM.
tmProto = BacktrackingTM.getSchema().new_message()
tm1.write(tmProto)
checkpointPath = os.path.join(self._tmpDir, 'a')
with open(checkpointPath, "wb") as f:
tmProto.write(f)
with open(checkpointPath, "rb") as f:
tmProto = BacktrackingTM.getSchema().read(f)
tm2 = BacktrackingTM.read(tmProto)
# Check that the TMs are the same.
> self.assertTMsEqual(tm1, tm2)
tests/unit/nupic/algorithms/backtracking_tm_test.py:89:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
tests/unit/nupic/algorithms/backtracking_tm_test.py:348: in assertTMsEqual
self.assertEqual(tm1, tm2, tm1.diff(tm2))
E AssertionError: <nupic.algorithms.backtracking_tm_cpp.BacktrackingTMCPP object at 0x73db3270> != <nupic.algorithms.backtracking_tm_cpp.BacktrackingTMCPP object at 0x744afb30> : [(('maxSynapsesPerSegment',), -1, -1L), (('maxSegmentsPerCell',), -1, -1L), (('seed',), 42, 42L)]
----------------------------- Captured stdout call -----------------------------
<nupic.bindings.algorithms.Cells4; proxy of <Swig Object of type 'nupic::algorithms::Cells4::Cells4 *' at 0x73ed6fe0> >
_____________ BacktrackingTMTest.testSerializationMiddleOfSequence _____________
self = <tests.unit.nupic.algorithms.backtracking_tm_test.BacktrackingTMTest testMethod=testSerializationMiddleOfSequence>
@unittest.skipUnless(capnp, "pycapnp not installed")
def testSerializationMiddleOfSequence(self):
# Create a model and give it some inputs to learn.
tm1 = BacktrackingTM(numberOfCols=100, cellsPerColumn=12,
verbosity=VERBOSITY)
sequences = [self.generateSequence() for _ in xrange(5)]
train = list(itertools.chain.from_iterable(sequences[:3] +
[sequences[3][:5]]))
for bottomUpInput in train:
if bottomUpInput is None:
tm1.reset()
else:
tm1.compute(bottomUpInput, True, True)
# Serialize and deserialized the TM.
tmProto = BacktrackingTM.getSchema().new_message()
tm1.write(tmProto)
checkpointPath = os.path.join(self._tmpDir, 'a')
with open(checkpointPath, "wb") as f:
tmProto.write(f)
with open(checkpointPath, "rb") as f:
tmProto = BacktrackingTM.getSchema().read(f)
tm2 = BacktrackingTM.read(tmProto)
# Check that the TMs are the same.
> self.assertTMsEqual(tm1, tm2)
tests/unit/nupic/algorithms/backtracking_tm_test.py:130:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
tests/unit/nupic/algorithms/backtracking_tm_test.py:348: in assertTMsEqual
self.assertEqual(tm1, tm2, tm1.diff(tm2))
E AssertionError: <nupic.algorithms.backtracking_tm_cpp.BacktrackingTMCPP object at 0x5ea87170> != <nupic.algorithms.backtracking_tm_cpp.BacktrackingTMCPP object at 0x55cf0110> : [(('maxSynapsesPerSegment',), -1, -1L), (('maxSegmentsPerCell',), -1, -1L), (('seed',), 42, 42L)]
----------------------------- Captured stdout call -----------------------------
<nupic.bindings.algorithms.Cells4; proxy of <Swig Object of type 'nupic::algorithms::Cells4::Cells4 *' at 0x73ed6e90> >
____________ BacktrackingTMTest.testSerializationMiddleOfSequence2 _____________
self = <tests.unit.nupic.algorithms.backtracking_tm_test.BacktrackingTMTest testMethod=testSerializationMiddleOfSequence2>
@unittest.skipUnless(capnp, "pycapnp not installed")
def testSerializationMiddleOfSequence2(self):
"""More complex test of checkpointing in the middle of a sequence."""
tm1 = BacktrackingTM(2048, 32, 0.21, 0.5, 11, 20, 0.1, 0.1, 1.0, 0.0, 14,
False, 5, 2, False, 1960, 0, False, 3, 10, 5, 0, 32,
128, 32, 'normal')
tm2 = BacktrackingTM(2048, 32, 0.21, 0.5, 11, 20, 0.1, 0.1, 1.0, 0.0, 14,
False, 5, 2, False, 1960, 0, False, 3, 10, 5, 0, 32,
128, 32, 'normal')
with open(resource_filename(__name__, 'data/tm_input.csv'), 'r') as fin:
reader = csv.reader(fin)
records = []
for bottomUpInStr in fin:
bottomUpIn = numpy.array(eval('[' + bottomUpInStr.strip() + ']'),
dtype='int32')
records.append(bottomUpIn)
i = 1
for r in records[:250]:
print i
i += 1
output1 = tm1.compute(r, True, True)
output2 = tm2.compute(r, True, True)
self.assertTrue(numpy.array_equal(output1, output2))
print 'Serializing and deserializing models.'
savePath1 = os.path.join(self._tmpDir, 'tm1.bin')
tmProto1 = BacktrackingTM.getSchema().new_message()
tm1.write(tmProto1)
with open(savePath1, "wb") as f:
tmProto1.write(f)
with open(savePath1, "rb") as f:
tmProto3 = BacktrackingTM.getSchema().read(f)
tm3 = BacktrackingTM.read(tmProto3)
savePath2 = os.path.join(self._tmpDir, 'tm2.bin')
tmProto2 = BacktrackingTM.getSchema().new_message()
tm2.write(tmProto2)
with open(savePath2, "wb") as f:
tmProto2.write(f)
with open(savePath2, "rb") as f:
tmProto4 = BacktrackingTM.getSchema().read(f)
tm4 = BacktrackingTM.read(tmProto4)
> self.assertTMsEqual(tm1, tm3)
tests/unit/nupic/algorithms/backtracking_tm_test.py:193:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
tests/unit/nupic/algorithms/backtracking_tm_test.py:348: in assertTMsEqual
self.assertEqual(tm1, tm2, tm1.diff(tm2))
E AssertionError: <nupic.algorithms.backtracking_tm_cpp.BacktrackingTMCPP object at 0x55cdb690> != <nupic.algorithms.backtracking_tm_cpp.BacktrackingTMCPP object at 0x744afb30> : [(('maxSynapsesPerSegment',), 32, 32L), (('maxSegmentsPerCell',), 128, 128L), (('seed',), 1960, 1960L)]
----------------------------- Captured stdout call -----------------------------
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Serializing and deserializing models.
<nupic.bindings.algorithms.Cells4; proxy of <Swig Object of type 'nupic::algorithms::Cells4::Cells4 *' at 0x73ed6d70> >
<nupic.bindings.algorithms.Cells4; proxy of <Swig Object of type 'nupic::algorithms::Cells4::Cells4 *' at 0x73ed6c68> >
_______________________ SpatialPoolerTest.testWriteRead ________________________
self = <tests.unit.nupic.algorithms.spatial_pooler_unit_test.SpatialPoolerTest testMethod=testWriteRead>
@unittest.skipUnless(
capnp, "pycapnp is not installed, skipping serialization test.")
def testWriteRead(self):
sp1 = SpatialPooler(
inputDimensions=[9],
columnDimensions=[5],
potentialRadius=3,
potentialPct=0.5,
globalInhibition=False,
localAreaDensity=-1.0,
numActiveColumnsPerInhArea=3,
stimulusThreshold=1,
synPermInactiveDec=0.01,
synPermActiveInc=0.1,
synPermConnected=0.10,
minPctOverlapDutyCycle=0.1,
dutyCyclePeriod=10,
boostStrength=10.0,
seed=42,
spVerbosity=0)
# Run a record through before serializing
inputVector = numpy.array([1, 0, 1, 0, 1, 0, 0, 1, 1])
activeArray1 = numpy.zeros(5)
sp1.compute(inputVector, True, activeArray1)
proto1 = SpatialPoolerProto_capnp.SpatialPoolerProto.new_message()
sp1.write(proto1)
# Write the proto to a temp file and read it back into a new proto
with tempfile.TemporaryFile() as f:
proto1.write(f)
f.seek(0)
proto2 = SpatialPoolerProto_capnp.SpatialPoolerProto.read(f)
# Load the deserialized proto
sp2 = SpatialPooler.read(proto2)
ephemeral = set(["_boostedOverlaps", "_overlaps"])
# Check that the two spatial poolers have the same attributes
self.assertSetEqual(set(sp1.__dict__.keys()), set(sp2.__dict__.keys()))
for k, v1 in sp1.__dict__.iteritems():
v2 = getattr(sp2, k)
if k in ephemeral:
continue
if isinstance(v1, numpy.ndarray):
self.assertEqual(v1.dtype, v2.dtype,
"Key %s has differing dtypes: %s vs %s" % (
> k, v1.dtype, v2.dtype))
E AssertionError: Key _inputDimensions has differing dtypes: int32 vs int64
tests/unit/nupic/algorithms/spatial_pooler_unit_test.py:1503: AssertionError
----------------------------- Captured stdout call -----------------------------
New seed generated as: 95868 called by run line 320 -> setUp
_________________________ NetworkTest.testDelayedLink __________________________
self = <tests.unit.nupic.engine.network_test.NetworkTest testMethod=testDelayedLink>
def testDelayedLink(self):
n = engine.Network()
region1 = n.addRegion("region1", "TestNode", "")
region2 = n.addRegion("region2", "TestNode", "")
names = []
propagationDelay = 2
n.link("region1", "region2", "TestFanIn2", "",
propagationDelay=propagationDelay)
> r1dims = engine.Dimensions([6, 4])
tests/unit/nupic/engine/network_test.py:329:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
/usr/local/lib/python2.7/dist-packages/nupic/engine/__init__.py:172: in __init__
engine_internal.Dimensions.__init__(self, *args)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <nupic.engine.Dimensions; >, args = ([6, 4],)
def __init__(self, *args):
"""
__init__(self) -> Dimensions
__init__(self, v) -> Dimensions
__init__(self, x) -> Dimensions
__init__(self, x, y) -> Dimensions
__init__(self, x, y, z) -> Dimensions
"""
> this = _engine_internal.new_Dimensions(*args)
E NotImplementedError: Wrong number or type of arguments for overloaded function 'new_Dimensions'.
E Possible C/C++ prototypes are:
E nupic::Dimensions::Dimensions()
E nupic::Dimensions::Dimensions(std::vector< size_t,std::allocator< size_t > >)
E nupic::Dimensions::Dimensions(size_t)
E nupic::Dimensions::Dimensions(size_t,size_t)
E nupic::Dimensions::Dimensions(size_t,size_t,size_t)
../nupic.core/bindings/py/src/nupic/bindings/engine_internal.py:613: NotImplementedError
________________________ NetworkTest.testErrorHandling _________________________
self = <tests.unit.nupic.engine.network_test.NetworkTest testMethod=testErrorHandling>
@unittest.skipIf(sys.platform.lower().startswith("win"),
"Not supported on Windows, yet!")
def testErrorHandling(self):
n = engine.Network()
# Test trying to add non-existent node
with self.assertRaises(Exception) as cm:
n.addRegion('r', 'py.NonExistingNode', '')
self.assertEqual(cm.exception.message, "Matching Python module for NonExistingNode not found.")
orig_import = __import__
def import_mock(name, *args):
if name == "nupic.regions.unimportable_node":
raise SyntaxError("invalid syntax (unimportable_node.py, line 5)")
return orig_import(name, *args)
with patch('__builtin__.__import__', side_effect=import_mock):
# Test failure during import
with self.assertRaises(Exception) as cm:
n.addRegion('r', 'py.UnimportableNode', '')
self.assertEqual(cm.exception.message, "invalid syntax (unimportable_node.py, line 5)")
# Test failure in the __init__() method
with self.assertRaises(Exception) as cm:
n.addRegion('r', 'py.TestNode', '{ failInInit: 1 }')
self.assertEqual(cm.exception.message, "TestNode.__init__() Failing on purpose as requested")
# Test failure inside the compute() method
with self.assertRaises(Exception) as cm:
r = n.addRegion('r', 'py.TestNode', '{ failInCompute: 1 }')
r.dimensions = engine.Dimensions([4, 4])
n.initialize()
n.run(1)
self.assertEqual(str(cm.exception),
> 'TestNode.compute() Failing on purpose as requested')
E AssertionError: "Wrong number or type of arguments for overloaded function 'new_Dimensions'.\n Possible C/C++ prototypes are:\n nupic::Dimensions::Dimensions()\n nupic::Dimensions::Dimensions(std::vector< size_t,std::allocator< size_t > >)\n nupic::Dimensions::Dimensions(size_t)\n nupic::Dimensions::Dimensions(size_t,size_t)\n nupic::Dimensions::Dimensions(size_t,size_t,size_t)\n" != 'TestNode.compute() Failing on purpose as requested'
tests/unit/nupic/engine/network_test.py:74: AssertionError
----------------------------- Captured stdout call -----------------------------
{'singleNodeOnly': False, 'inputs': {'bottomUpIn': {'count': 0, 'requireSplitterMap': False, 'description': 'Primary input for the node', 'isDefaultInput': True, 'dataType': 'Real64', 'required': True, 'regionLevel': False}}, 'commands': {}, 'description': 'The node spec of the NuPIC 2 Python TestNode', 'parameters': {'failInCompute': {'count': 1, 'description': 'For testing failure in compute()', 'dataType': 'Int32', 'accessMode': 'ReadWrite', 'defaultValue': '0', 'constraints': ''}, 'stringParam': {'count': 0, 'description': 'String parameter', 'dataType': 'Byte', 'accessMode': 'ReadWrite', 'defaultValue': 'nodespec value', 'constraints': ''}, 'real32Param': {'count': 1, 'description': 'Real32 scalar parameter', 'dataType': 'Real32', 'accessMode': 'ReadWrite', 'defaultValue': '32.1', 'constraints': ''}, 'failInInit': {'count': 1, 'description': 'For testing failure in __init__()', 'dataType': 'Int32', 'accessMode': 'ReadWrite', 'defaultValue': '0', 'constraints': ''}, 'boolArrayParam': {'count': 0, 'description': 'bool array parameter', 'dataType': 'Bool', 'accessMode': 'ReadWrite', 'defaultValue': '', 'constraints': ''}, 'uint32Param': {'count': 1, 'description': 'UInt32 scalar parameter', 'dataType': 'UInt32', 'accessMode': 'ReadWrite', 'defaultValue': '33', 'constraints': ''}, 'boolParam': {'count': 1, 'description': 'bool parameter', 'dataType': 'Bool', 'accessMode': 'ReadWrite', 'defaultValue': 'false', 'constraints': ''}, 'int32Param': {'count': 1, 'description': 'Int32 scalar parameter', 'dataType': 'Int32', 'accessMode': 'ReadWrite', 'defaultValue': '32', 'constraints': ''}, 'uint64Param': {'count': 1, 'description': 'UInt64 scalar parameter', 'dataType': 'UInt64', 'accessMode': 'ReadWrite', 'defaultValue': '65', 'constraints': ''}, 'int64arrayParam': {'count': 0, 'description': 'Int64 array parameter', 'dataType': 'Int64', 'accessMode': 'ReadWrite', 'defaultValue': '', 'constraints': ''}, 'int64Param': {'count': 1, 'description': 'Int64 scalar parameter', 'dataType': 'Int64', 'accessMode': 'ReadWrite', 'defaultValue': '64', 'constraints': ''}, 'real64Param': {'count': 1, 'description': 'Real64 scalar parameter', 'dataType': 'Real64', 'accessMode': 'ReadWrite', 'defaultValue': '64.1', 'constraints': ''}, 'real32arrayParam': {'count': 0, 'description': 'Real32 array parameter', 'dataType': 'Real32', 'accessMode': 'ReadWrite', 'defaultValue': '', 'constraints': ''}}, 'outputs': {'bottomUpOut': {'count': 0, 'dataType': 'Real64', 'isDefaultOutput': True, 'regionLevel': False, 'description': 'Primary output for the node'}}}
----------------------------- Captured stderr call -----------------------------
ERR: Matching Python module for NonExistingNode not found. [/home/pi/nupic.core/src/nupic/engine/RegionImplFactory.cpp line 444]
WARN: PyRegion::createSpec failed: 0x7ea7e0dc
ERR: Unable to create region r of type TestNode [/home/pi/nupic.core/src/nupic/engine/RegionImplFactory.cpp line 272]
_______________________ NetworkTest.testInputsAndOutputs _______________________
self = <tests.unit.nupic.engine.network_test.NetworkTest testMethod=testInputsAndOutputs>
def testInputsAndOutputs(self):
n = engine.Network()
region1 = n.addRegion("region1", "TestNode", "")
region2 = n.addRegion("region2", "TestNode", "")
> region1.setDimensions(engine.Dimensions([6, 4]))
tests/unit/nupic/engine/network_test.py:358:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
/usr/local/lib/python2.7/dist-packages/nupic/engine/__init__.py:172: in __init__
engine_internal.Dimensions.__init__(self, *args)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <nupic.engine.Dimensions; >, args = ([6, 4],)
def __init__(self, *args):
"""
__init__(self) -> Dimensions
__init__(self, v) -> Dimensions
__init__(self, x) -> Dimensions
__init__(self, x, y) -> Dimensions
__init__(self, x, y, z) -> Dimensions
"""
> this = _engine_internal.new_Dimensions(*args)
E NotImplementedError: Wrong number or type of arguments for overloaded function 'new_Dimensions'.
E Possible C/C++ prototypes are:
E nupic::Dimensions::Dimensions()
E nupic::Dimensions::Dimensions(std::vector< size_t,std::allocator< size_t > >)
E nupic::Dimensions::Dimensions(size_t)
E nupic::Dimensions::Dimensions(size_t,size_t)
E nupic::Dimensions::Dimensions(size_t,size_t,size_t)
../nupic.core/bindings/py/src/nupic/bindings/engine_internal.py:613: NotImplementedError
_______________________ NetworkTest.testOneRegionNetwork _______________________
self = <tests.unit.nupic.engine.network_test.NetworkTest testMethod=testOneRegionNetwork>
def testOneRegionNetwork(self):
n = engine.Network()
print "Number of regions in new network: %d" % len(n.regions)
self.assertEqual(len(n.regions), 0)
print "Adding level1SP"
level1SP = n.addRegion("level1SP", "TestNode", "")
> print "Current dimensions are: %s" % level1SP.dimensions
tests/unit/nupic/engine/network_test.py:103:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <nupic.engine.Region object at 0x737f2170>
def _getDimensions(self):
"""Dimensions of the region"""
> return Dimensions(tuple(self._region.getDimensions()))
E TypeError: 'Dimensions' object is not iterable
/usr/local/lib/python2.7/dist-packages/nupic/engine/__init__.py:473: TypeError
----------------------------- Captured stdout call -----------------------------
Number of regions in new network: 0
Adding level1SP
______________________ NetworkTest.testPyNodeGetNodeSpec _______________________
self = <tests.unit.nupic.engine.network_test.NetworkTest testMethod=testPyNodeGetNodeSpec>
@unittest.skipIf(sys.platform.lower().startswith("win"),
"Not supported on Windows, yet!")
def testPyNodeGetNodeSpec(self):
n = engine.Network()
r = n.addRegion("region", "py.TestNode", "")
print "Setting region1 dims"
> r.setDimensions(engine.Dimensions([6, 4]))
tests/unit/nupic/engine/network_test.py:411:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
/usr/local/lib/python2.7/dist-packages/nupic/engine/__init__.py:172: in __init__
engine_internal.Dimensions.__init__(self, *args)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <nupic.engine.Dimensions; >, args = ([6, 4],)
def __init__(self, *args):
"""
__init__(self) -> Dimensions
__init__(self, v) -> Dimensions
__init__(self, x) -> Dimensions
__init__(self, x, y) -> Dimensions
__init__(self, x, y, z) -> Dimensions
"""
> this = _engine_internal.new_Dimensions(*args)
E NotImplementedError: Wrong number or type of arguments for overloaded function 'new_Dimensions'.
E Possible C/C++ prototypes are:
E nupic::Dimensions::Dimensions()
E nupic::Dimensions::Dimensions(std::vector< size_t,std::allocator< size_t > >)
E nupic::Dimensions::Dimensions(size_t)
E nupic::Dimensions::Dimensions(size_t,size_t)
E nupic::Dimensions::Dimensions(size_t,size_t,size_t)
../nupic.core/bindings/py/src/nupic/bindings/engine_internal.py:613: NotImplementedError
----------------------------- Captured stdout call -----------------------------
Setting region1 dims
____________________ NetworkTest.testPyNodeGetSetParameter _____________________
self = <tests.unit.nupic.engine.network_test.NetworkTest testMethod=testPyNodeGetSetParameter>
@unittest.skipIf(sys.platform.lower().startswith("win"),
"Not supported on Windows, yet!")
def testPyNodeGetSetParameter(self):
n = engine.Network()
r = n.addRegion("region", "py.TestNode", "")
print "Setting region1 dims"
> r.dimensions = engine.Dimensions([6, 4])
tests/unit/nupic/engine/network_test.py:389:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
/usr/local/lib/python2.7/dist-packages/nupic/engine/__init__.py:172: in __init__
engine_internal.Dimensions.__init__(self, *args)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <nupic.engine.Dimensions; >, args = ([6, 4],)
def __init__(self, *args):
"""
__init__(self) -> Dimensions
__init__(self, v) -> Dimensions
__init__(self, x) -> Dimensions
__init__(self, x, y) -> Dimensions
__init__(self, x, y, z) -> Dimensions
"""
> this = _engine_internal.new_Dimensions(*args)
E NotImplementedError: Wrong number or type of arguments for overloaded function 'new_Dimensions'.
E Possible C/C++ prototypes are:
E nupic::Dimensions::Dimensions()
E nupic::Dimensions::Dimensions(std::vector< size_t,std::allocator< size_t > >)
E nupic::Dimensions::Dimensions(size_t)
E nupic::Dimensions::Dimensions(size_t,size_t)
E nupic::Dimensions::Dimensions(size_t,size_t,size_t)
../nupic.core/bindings/py/src/nupic/bindings/engine_internal.py:613: NotImplementedError
----------------------------- Captured stdout call -----------------------------
Setting region1 dims
_______________________ NetworkTest.testTwoRegionNetwork _______________________
self = <tests.unit.nupic.engine.network_test.NetworkTest testMethod=testTwoRegionNetwork>
def testTwoRegionNetwork(self):
n = engine.Network()
region1 = n.addRegion("region1", "TestNode", "")
region2 = n.addRegion("region2", "TestNode", "")
names = [region[0] for region in n.regions]
self.assertEqual(names, ['region1', 'region2'])
print n.getPhases('region1')
self.assertEqual(n.getPhases('region1'), (0,))
self.assertEqual(n.getPhases('region2'), (1,))
n.link("region1", "region2", "TestFanIn2", "")
print "Initialize should fail..."
with self.assertRaises(Exception):
n.initialize()
print "Setting region1 dims"
> r1dims = engine.Dimensions([6, 4])
tests/unit/nupic/engine/network_test.py:301:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
/usr/local/lib/python2.7/dist-packages/nupic/engine/__init__.py:172: in __init__
engine_internal.Dimensions.__init__(self, *args)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <nupic.engine.Dimensions; >, args = ([6, 4],)
def __init__(self, *args):
"""
__init__(self) -> Dimensions
__init__(self, v) -> Dimensions
__init__(self, x) -> Dimensions
__init__(self, x, y) -> Dimensions
__init__(self, x, y, z) -> Dimensions
"""
> this = _engine_internal.new_Dimensions(*args)
E NotImplementedError: Wrong number or type of arguments for overloaded function 'new_Dimensions'.
E Possible C/C++ prototypes are:
E nupic::Dimensions::Dimensions()
E nupic::Dimensions::Dimensions(std::vector< size_t,std::allocator< size_t > >)
E nupic::Dimensions::Dimensions(size_t)
E nupic::Dimensions::Dimensions(size_t,size_t)
E nupic::Dimensions::Dimensions(size_t,size_t,size_t)
../nupic.core/bindings/py/src/nupic/bindings/engine_internal.py:613: NotImplementedError
----------------------------- Captured stdout call -----------------------------
(0,)
Initialize should fail...
Setting region1 dims
----------------------------- Captured stderr call -----------------------------
ERR: Network::initialize() -- unable to evaluate all links
The following links could not be evaluated:
[region1.bottomUpOut (region dims: [unspecified]) to region2.bottomUpIn (region dims: [unspecified]) type: TestFanIn2]
[/home/pi/nupic.core/src/nupic/engine/Network.cpp line 528]
____________________ NetworkTest.testTwoRegionPyNodeNetwork ____________________
self = <tests.unit.nupic.engine.network_test.NetworkTest testMethod=testTwoRegionPyNodeNetwork>
@unittest.skipIf(sys.platform.lower().startswith("win"),
"Not supported on Windows, yet!")
def testTwoRegionPyNodeNetwork(self):
n = engine.Network()
region1 = n.addRegion("region1", "py.TestNode", "")
region2 = n.addRegion("region2", "py.TestNode", "")
n.link("region1", "region2", "TestFanIn2", "")
print "Initialize should fail..."
with self.assertRaises(Exception):
n.initialize()
print "Setting region1 dims"
> r1dims = engine.Dimensions([6, 4])
tests/unit/nupic/engine/network_test.py:442:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
/usr/local/lib/python2.7/dist-packages/nupic/engine/__init__.py:172: in __init__
engine_internal.Dimensions.__init__(self, *args)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <nupic.engine.Dimensions; >, args = ([6, 4],)
def __init__(self, *args):
"""
__init__(self) -> Dimensions
__init__(self, v) -> Dimensions
__init__(self, x) -> Dimensions
__init__(self, x, y) -> Dimensions
__init__(self, x, y, z) -> Dimensions
"""
> this = _engine_internal.new_Dimensions(*args)
E NotImplementedError: Wrong number or type of arguments for overloaded function 'new_Dimensions'.
E Possible C/C++ prototypes are:
E nupic::Dimensions::Dimensions()
E nupic::Dimensions::Dimensions(std::vector< size_t,std::allocator< size_t > >)
E nupic::Dimensions::Dimensions(size_t)
E nupic::Dimensions::Dimensions(size_t,size_t)
E nupic::Dimensions::Dimensions(size_t,size_t,size_t)
../nupic.core/bindings/py/src/nupic/bindings/engine_internal.py:613: NotImplementedError
----------------------------- Captured stdout call -----------------------------
Initialize should fail...
Setting region1 dims
----------------------------- Captured stderr call -----------------------------
ERR: Network::initialize() -- unable to evaluate all links
The following links could not be evaluated:
[region1.bottomUpOut (region dims: [unspecified]) to region2.bottomUpIn (region dims: [unspecified]) type: TestFanIn2]
[/home/pi/nupic.core/src/nupic/engine/Network.cpp line 528]
_________________________ NetworkSugarTest.testRegion __________________________
self = <tests.unit.nupic.engine.syntactic_sugar_test.NetworkSugarTest testMethod=testRegion>
@unittest.skipIf(sys.platform.lower().startswith("win"),
"Not supported on Windows, yet!")
def testRegion(self):
r = net.Network().addRegion('r', 'py.TestNode', '')
print r.spec
self.assertEqual(r.type, 'py.TestNode')
self.assertEqual(r.name, 'r')
> self.assertTrue(r.dimensions.isUnspecified())
tests/unit/nupic/engine/syntactic_sugar_test.py:122:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <nupic.engine.Region object at 0x5f2caab0>
def _getDimensions(self):
"""Dimensions of the region"""
> return Dimensions(tuple(self._region.getDimensions()))
E TypeError: 'Dimensions' object is not iterable
/usr/local/lib/python2.7/dist-packages/nupic/engine/__init__.py:473: TypeError
----------------------------- Captured stdout call -----------------------------
Spec:
Description:
The node spec of the NuPIC 2 Python TestNode
Parameters:
failInCompute
description: For testing failure in compute()
type: Int32
count: 1
stringParam
description: String parameter
type: Byte
count: 0
real32Param
description: Real32 scalar parameter
type: Real32
count: 1
failInInit
description: For testing failure in __init__()
type: Int32
count: 1
boolArrayParam
description: bool array parameter
type: Bool
count: 0
uint32Param
description: UInt32 scalar parameter
type: UInt32
count: 1
boolParam
description: bool parameter
type: Bool
count: 1
int32Param
description: Int32 scalar parameter
type: Int32
count: 1
uint64Param
description: UInt64 scalar parameter
type: UInt64
count: 1
int64arrayParam
description: Int64 array parameter
type: Int64
count: 0
int64Param
description: Int64 scalar parameter
type: Int64
count: 1
real64Param
description: Real64 scalar parameter
type: Real64
count: 1
real32arrayParam
description: Real32 array parameter
type: Real32
count: 0
self
description: The PyObject * of the region's Python classd
type: Handle
count: 1
Inputs:
bottomUpIn
Outputs:
bottomUpOut
Commands:
_______________________ AnomalyRegionTest.testWriteRead ________________________
self = <tests.unit.nupic.regions.anomaly_region_test.AnomalyRegionTest testMethod=testWriteRead>
@unittest.skipUnless(
capnp, "pycapnp is not installed, skipping serialization test.")
def testWriteRead(self):
predictedColumns = [[0, 1 ,1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0],
[0, 1 ,1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0],
[0, 1 ,1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0],
[0, 1 ,1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0],
[0, 1 ,1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0],
[0, 1 ,1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0],
[0, 1 ,1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0],
[0, 1 ,1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0],
[0, 1 ,1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0],
[0, 1 ,1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0]]
activeColumns = [[0, 1 ,1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0],
[0, 1 ,1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1],
[0, 1 ,0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0],
[0, 0 ,0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0],
[1, 0 ,0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1],
[0, 0 ,0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1],
[0, 0 ,0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1],
[0, 1 ,1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0],
[0, 1 ,1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1],
[0, 1 ,1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0]]
anomalyExpected = (1.0, 0.25, 1.0/3.0, 2.0/3.0, 1.0, 2.0/3.0, 1.0,
0.0, 0.25, 0.25)
anomalyRegion1 = AnomalyRegion()
inputs = AnomalyRegion.getSpec()['inputs']
outputs = AnomalyRegion.getSpec()['outputs']
for i in xrange(0, 6):
inputs['predictedColumns'] = numpy.array(predictedColumns[i])
inputs['activeColumns'] = numpy.array(activeColumns[i])
anomalyRegion1.compute(inputs, outputs)
proto1 = AnomalyRegionProto.new_message()
anomalyRegion1.write(proto1)
# Write the proto to a temp file and read it back into a new proto
with tempfile.TemporaryFile() as f:
proto1.write(f)
f.seek(0)
proto2 = AnomalyRegionProto.read(f)
# Load the deserialized proto
anomalyRegion2 = AnomalyRegion.read(proto2)
> self.assertEqual(anomalyRegion1, anomalyRegion2)
E AssertionError: <nupic.regions.anomaly_region.AnomalyRegion object at 0x737f7250> != <nupic.regions.anomaly_region.AnomalyRegion object at 0x737f7eb0>
tests/unit/nupic/regions/anomaly_region_test.py:88: AssertionError
============================ pytest-warning summary ============================
WC1 /home/pi/nupic/tests/unit/nupic/engine/network_test.py cannot collect test class 'TestNode' because it has a __init__ constructor
WC1 /home/pi/nupic/tests/unit/nupic/frameworks/opf/htmpredictionmodel_classifier_helper_test.py cannot collect test class 'TestOptionParser' because it has a __init__ constructor
WC1 /home/pi/nupic/tests/unit/nupic/regions/knn_anomaly_classifier_region_test.py cannot collect test class 'TestOptionParser' because it has a __init__ constructor
WC1 /home/pi/nupic/tests/unit/nupic/support/decorators_test.py cannot collect test class 'TestParentException' because it has a __init__ constructor
WC1 /home/pi/nupic/tests/unit/nupic/support/decorators_test.py cannot collect test class 'TestChildException' because it has a __init__ constructor
17 failed, 692 passed, 17 skipped, 8 xfailed, 5 pytest-warnings in 885.90 seconds
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