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- ============================= 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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