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RuntimeError: Attempting to use the value of the environment variable 'USER', which is not defined
Traceback (most recent call last):
File "htmpredictionmodel_classifier_helper_test.py", line 151, in setUp
self.helper = HTMPredictionModelClassifierHelper(Mock(spec=HTMPredictionModel))
File "D:\nupic\src\python\python3\nupic\frameworks\opf\htm_prediction_model_classifier_helper.py", line 74, in __init__
'nupic.model.temporalAnomaly.wait_records'))
File "D:\nupic\src\python\python3\nupic\support\configuration_base.py", line 157, in get
return cls.getString(prop)
File "D:\nupic\src\python\python3\nupic\support\configuration_base.py", line 84, in getString
cls._readStdConfigFiles()
File "D:\nupic\src\python\python3\nupic\support\configuration_custom.py", line 148, in _readStdConfigFiles
super(Configuration, cls)._readStdConfigFiles()
File "D:\nupic\src\python\python3\nupic\support\configuration_base.py", line 409, in _readStdConfigFiles
cls.readConfigFile(DEFAULT_CONFIG)
File "D:\nupic\src\python\python3\nupic\support\configuration_base.py", line 207, in readConfigFile
properties = cls._readConfigFile(filename, path)
File "D:\nupic\src\python\python3\nupic\support\configuration_base.py", line 325, in _readConfigFile
" variable %r, which is not defined" % (varname))
RuntimeError: Attempting to use the value of the environment variable 'USER', which is not defined
docs\examples_test.py
E
======================================================================
ERROR: setUpClass (__main__.ExamplesTest)
----------------------------------------------------------------------
Traceback (most recent call last):
File "examples_test.py", line 81, in setUpClass
predictionGenerator = _getPredictionsGenerator(cls.examplesDir, example)
File "examples_test.py", line 57, in _getPredictionsGenerator
mod = __import__(modName, fromlist=["runHotgym"])
ModuleNotFoundError: No module named 'complete-opf-example'
----------------------------------------------------------------------
Ran 0 tests in 0.001s
FAILED (errors=1)
SparseMatrix toDense()
toDense() returns an unsigned int array. So neg values will be incorrectly converted.
sparse_matrix_test.py -- test_setAllNonZeros
sparse_matrix_test.py -- test_incrementOnOuterProductVal
spatial_pooler_compatability_test.py
Numpy seed set to: 63862 called by testCompatibility1 line 259 -> runSideBySide
{'inputDimensions': [4, 4], 'columnDimensions': [5, 3], 'potentialRadius': 20, 'potentialPct': 0.5, 'globalInhibition': True, 'localAreaDensity': 0, 'numActiveColumnsPerInhArea': 5, 'stimulusThreshold': 0, 'synPermInactiveDec': 0.01, 'synPermActiveInc': 0.1, 'synPermConnected': 0.1, 'minPctOverlapDutyCycle': 0.001, 'dutyCyclePeriod': 30, 'boostStrength': 10.0, 'seed': 4, 'spVerbosity': 0}
ENumpy seed set to: 63862 called by testCompatibility2 line 310 -> runSideBySide
{'inputDimensions': [12, 7], 'columnDimensions': [4, 15], 'potentialRadius': 22, 'potentialPct': 0.3, 'globalInhibition': False, 'localAreaDensity': 0, 'numActiveColumnsPerInhArea': 5, 'stimulusThreshold': 2, 'synPermInactiveDec': 0.04, 'synPermActiveInc': 0.14, 'synPermConnected': 0.178, 'minPctOverlapDutyCycle': 0.021, 'dutyCyclePeriod': 20, 'boostStrength': 11.0, 'seed': 6, 'spVerbosity': 0}
ENumpy seed set to: 63862 called by testCompatibility3 line 332 -> runSideBySide
{'inputDimensions': [2, 4, 5], 'columnDimensions': [4, 3, 3], 'potentialRadius': 30, 'potentialPct': 0.7, 'globalInhibition': False, 'localAreaDensity': 0.23, 'numActiveColumnsPerInhArea': 0, 'stimulusThreshold': 2, 'synPermInactiveDec': 0.02, 'synPermActiveInc': 0.1, 'synPermConnected': 0.12, 'minPctOverlapDutyCycle': 0.011, 'dutyCyclePeriod': 25, 'boostStrength': 11.0, 'seed': 19, 'spVerbosity': 0}
EssNumpy seed set to: 43419 called by testCompatibilityNoLearn line 288 -> runSideBySide
{'inputDimensions': [4, 4], 'columnDimensions': [5, 3], 'potentialRadius': 20, 'potentialPct': 0.5, 'globalInhibition': True, 'localAreaDensity': 0, 'numActiveColumnsPerInhArea': 5, 'stimulusThreshold': 0, 'synPermInactiveDec': 0.01, 'synPermActiveInc': 0.1, 'synPermConnected': 0.1, 'minPctOverlapDutyCycle': 0.001, 'dutyCyclePeriod': 30, 'boostStrength': 10.0, 'seed': 4, 'spVerbosity': 0}
E{'inputDimensions': [512], 'columnDimensions': [512], 'globalInhibition': True, 'numActiveColumnsPerInhArea': 40, 'seed': 19}
E{'inputDimensions': [2, 4, 5], 'columnDimensions': [4, 3, 3], 'potentialRadius': 30, 'potentialPct': 0.7, 'globalInhibition': False, 'localAreaDensity': 0.23, 'numActiveColumnsPerInhArea': 0, 'stimulusThreshold': 2, 'synPermInactiveDec': 0.02, 'synPermActiveInc': 0.1, 'synPermConnected': 0.12, 'minPctOverlapDutyCycle': 0.011, 'dutyCyclePeriod': 25, 'boostStrength': 11.0, 'seed': 19, 'spVerbosity': 0}
ENumpy seed set to: 43419 called by testSerializationRun line 382 -> runSerialize
{'inputDimensions': [2, 4, 5], 'columnDimensions': [4, 3, 3], 'potentialRadius': 30, 'potentialPct': 0.7, 'globalInhibition': False, 'localAreaDensity': 0.23, 'numActiveColumnsPerInhArea': 0, 'stimulusThreshold': 2, 'synPermInactiveDec': 0.02, 'synPermActiveInc': 0.1, 'synPermConnected': 0.12, 'minPctOverlapDutyCycle': 0.011, 'dutyCyclePeriod': 25, 'boostStrength': 11.0, 'seed': 19, 'spVerbosity': 0}
E
======================================================================
ERROR: testCompatibility1 (__main__.SpatialPoolerCompatibilityTest)
----------------------------------------------------------------------
Traceback (most recent call last):
File "spatial_pooler_compatability_test.py", line 259, in testCompatibility1
self.runSideBySide(params, seed = 63862)
File "spatial_pooler_compatability_test.py", line 171, in runSideBySide
cppSp = CreateSP("cpp", params)
File "D:\nupic\src\python\python3\nupic\support\unittesthelpers\algorithm_test_helpers.py", line 167, in CreateSP
sp = spClass(**params)
TypeError: __init__(): incompatible constructor arguments. The following argument types are supported:
1. nupic.bindings.algorithms.SpatialPooler()
2. nupic.bindings.algorithms.SpatialPooler(inputDimensions: List[int], columnDimensions: List[int], potentialRadius: int=16, potentialPct: float=0.5, globalInhibition: bool=False, localAreaDensity: float=-1.0, numActiveColumnsPerInhArea: int=10.0, stimulusThreshold: int=0, synPermInactiveDec: float=0.01, synPermActiveInc: float=0.1, synPermConnected: float=0.1, minPctOverlapDutyCycles: float=0.001, dutyCyclePeriod: int=1000, boostStrength: float=0.0, seed: int=-1, spVerbosity: int=0, wrapAround: bool=True)
Invoked with: kwargs: inputDimensions=[4, 4], columnDimensions=[5, 3], potentialRadius=20, potentialPct=0.5, globalInhibition=True, localAreaDensity=0, numActiveColumnsPerInhArea=5, stimulusThreshold=0, synPermInactiveDec=0.01, synPermActiveInc=0.1, synPermConnected=0.1, minPctOverlapDutyCycle=0.001, dutyCyclePeriod=30, boostStrength=10.0, seed=4, spVerbosity=0
======================================================================
ERROR: testCompatibility2 (__main__.SpatialPoolerCompatibilityTest)
----------------------------------------------------------------------
Traceback (most recent call last):
File "spatial_pooler_compatability_test.py", line 310, in testCompatibility2
self.runSideBySide(params, convertEveryIteration=True, seed=63862)
File "spatial_pooler_compatability_test.py", line 171, in runSideBySide
cppSp = CreateSP("cpp", params)
File "D:\nupic\src\python\python3\nupic\support\unittesthelpers\algorithm_test_helpers.py", line 167, in CreateSP
sp = spClass(**params)
TypeError: __init__(): incompatible constructor arguments. The following argument types are supported:
1. nupic.bindings.algorithms.SpatialPooler()
2. nupic.bindings.algorithms.SpatialPooler(inputDimensions: List[int], columnDimensions: List[int], potentialRadius: int=16, potentialPct: float=0.5, globalInhibition: bool=False, localAreaDensity: float=-1.0, numActiveColumnsPerInhArea: int=10.0, stimulusThreshold: int=0, synPermInactiveDec: float=0.01, synPermActiveInc: float=0.1, synPermConnected: float=0.1, minPctOverlapDutyCycles: float=0.001, dutyCyclePeriod: int=1000, boostStrength: float=0.0, seed: int=-1, spVerbosity: int=0, wrapAround: bool=True)
Invoked with: kwargs: inputDimensions=[12, 7], columnDimensions=[4, 15], potentialRadius=22, potentialPct=0.3, globalInhibition=False, localAreaDensity=0, numActiveColumnsPerInhArea=5, stimulusThreshold=2, synPermInactiveDec=0.04, synPermActiveInc=0.14, synPermConnected=0.178, minPctOverlapDutyCycle=0.021, dutyCyclePeriod=20, boostStrength=11.0, seed=6, spVerbosity=0
======================================================================
ERROR: testCompatibility3 (__main__.SpatialPoolerCompatibilityTest)
----------------------------------------------------------------------
Traceback (most recent call last):
File "spatial_pooler_compatability_test.py", line 332, in testCompatibility3
self.runSideBySide(params, convertEveryIteration=True, seed=63862)
File "spatial_pooler_compatability_test.py", line 171, in runSideBySide
cppSp = CreateSP("cpp", params)
File "D:\nupic\src\python\python3\nupic\support\unittesthelpers\algorithm_test_helpers.py", line 167, in CreateSP
sp = spClass(**params)
TypeError: __init__(): incompatible constructor arguments. The following argument types are supported:
1. nupic.bindings.algorithms.SpatialPooler()
2. nupic.bindings.algorithms.SpatialPooler(inputDimensions: List[int], columnDimensions: List[int], potentialRadius: int=16, potentialPct: float=0.5, globalInhibition: bool=False, localAreaDensity: float=-1.0, numActiveColumnsPerInhArea: int=10.0, stimulusThreshold: int=0, synPermInactiveDec: float=0.01, synPermActiveInc: float=0.1, synPermConnected: float=0.1, minPctOverlapDutyCycles: float=0.001, dutyCyclePeriod: int=1000, boostStrength: float=0.0, seed: int=-1, spVerbosity: int=0, wrapAround: bool=True)
Invoked with: kwargs: inputDimensions=[2, 4, 5], columnDimensions=[4, 3, 3], potentialRadius=30, potentialPct=0.7, globalInhibition=False, localAreaDensity=0.23, numActiveColumnsPerInhArea=0, stimulusThreshold=2, synPermInactiveDec=0.02, synPermActiveInc=0.1, synPermConnected=0.12, minPctOverlapDutyCycle=0.011, dutyCyclePeriod=25, boostStrength=11.0, seed=19, spVerbosity=0
======================================================================
ERROR: testCompatibilityNoLearn (__main__.SpatialPoolerCompatibilityTest)
----------------------------------------------------------------------
Traceback (most recent call last):
File "spatial_pooler_compatability_test.py", line 288, in testCompatibilityNoLearn
self.runSideBySide(params, seed = None, learnMode = False)
File "spatial_pooler_compatability_test.py", line 171, in runSideBySide
cppSp = CreateSP("cpp", params)
File "D:\nupic\src\python\python3\nupic\support\unittesthelpers\algorithm_test_helpers.py", line 167, in CreateSP
sp = spClass(**params)
TypeError: __init__(): incompatible constructor arguments. The following argument types are supported:
1. nupic.bindings.algorithms.SpatialPooler()
2. nupic.bindings.algorithms.SpatialPooler(inputDimensions: List[int], columnDimensions: List[int], potentialRadius: int=16, potentialPct: float=0.5, globalInhibition: bool=False, localAreaDensity: float=-1.0, numActiveColumnsPerInhArea: int=10.0, stimulusThreshold: int=0, synPermInactiveDec: float=0.01, synPermActiveInc: float=0.1, synPermConnected: float=0.1, minPctOverlapDutyCycles: float=0.001, dutyCyclePeriod: int=1000, boostStrength: float=0.0, seed: int=-1, spVerbosity: int=0, wrapAround: bool=True)
Invoked with: kwargs: inputDimensions=[4, 4], columnDimensions=[5, 3], potentialRadius=20, potentialPct=0.5, globalInhibition=True, localAreaDensity=0, numActiveColumnsPerInhArea=5, stimulusThreshold=0, synPermInactiveDec=0.01, synPermActiveInc=0.1, synPermConnected=0.1, minPctOverlapDutyCycle=0.001, dutyCyclePeriod=30, boostStrength=10.0, seed=4, spVerbosity=0
======================================================================
ERROR: testInhibitColumnsGlobal (__main__.SpatialPoolerCompatibilityTest)
----------------------------------------------------------------------
Traceback (most recent call last):
File "spatial_pooler_compatability_test.py", line 395, in testInhibitColumnsGlobal
sp1 = CreateSP("py", params)
File "D:\nupic\src\python\python3\nupic\support\unittesthelpers\algorithm_test_helpers.py", line 167, in CreateSP
sp = spClass(**params)
File "D:\nupic\src\python\python3\nupic\algorithms\spatial_pooler.py", line 262, in __init__
.format(repr(numColumns)))
nupic.algorithms.spatial_pooler.InvalidSPParamValueError: Invalid number of columns (512)
======================================================================
ERROR: testSerialization (__main__.SpatialPoolerCompatibilityTest)
----------------------------------------------------------------------
Traceback (most recent call last):
File "spatial_pooler_compatability_test.py", line 354, in testSerialization
sp1 = CreateSP("py", params)
File "D:\nupic\src\python\python3\nupic\support\unittesthelpers\algorithm_test_helpers.py", line 167, in CreateSP
sp = spClass(**params)
File "D:\nupic\src\python\python3\nupic\algorithms\spatial_pooler.py", line 262, in __init__
.format(repr(numColumns)))
nupic.algorithms.spatial_pooler.InvalidSPParamValueError: Invalid number of columns (36)
======================================================================
ERROR: testSerializationRun (__main__.SpatialPoolerCompatibilityTest)
----------------------------------------------------------------------
Traceback (most recent call last):
File "spatial_pooler_compatability_test.py", line 382, in testSerializationRun
self.runSerialize("py", params)
File "spatial_pooler_compatability_test.py", line 215, in runSerialize
sp1 = CreateSP(imp, params)
File "D:\nupic\src\python\python3\nupic\support\unittesthelpers\algorithm_test_helpers.py", line 167, in CreateSP
sp = spClass(**params)
File "D:\nupic\src\python\python3\nupic\algorithms\spatial_pooler.py", line 262, in __init__
.format(repr(numColumns)))
nupic.algorithms.spatial_pooler.InvalidSPParamValueError: Invalid number of columns (36)
----------------------------------------------------------------------
Ran 9 tests in 0.008s
FAILED (errors=7, skipped=2)
swig vs. pybind11?
Can someone please help me understand why the community edition is abandoning swig for pybind11?
pybind11 is probably nicer for Python, but I suspect it won't work well for other languages.
Also, it seems like switching to pybind is a pretty large change that may even have implications for the API. Would it make sense to migrate to pybind After the switch to python 3.x?
Was there a real show-stopping bug or missing feature preventing the continued use of swig?
Thanks!
Fix compiler warnings in UniformLinkPolicy.cpp
adaptivescalar_test.py
E.EEs.E
======================================================================
ERROR: testFillHoles (__main__.AdaptiveScalarTest)
Make sure we can fill in holes
----------------------------------------------------------------------
Traceback (most recent call last):
File "adaptivescalar_test.py", line 114, in testFillHoles
decoded = l.decode(numpy.array([0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1]))
File "D:\nupic\src\python\python3\nupic\encoders\scalar.py", line 483, in decode
for i in range(maxZerosInARow):
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
ERROR: testNonPeriodicEncoderMinMaxNotSpec (__main__.AdaptiveScalarTest)
Non-periodic encoder, min and max not specified
----------------------------------------------------------------------
Traceback (most recent call last):
File "adaptivescalar_test.py", line 150, in testNonPeriodicEncoderMinMaxNotSpec
_verify(1, [1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0])
File "adaptivescalar_test.py", line 140, in _verify
l.encode(v),
File "D:\nupic\src\python\python3\nupic\encoders\base.py", line 150, in encode
self.encodeIntoArray(inputData, output)
File "D:\nupic\src\python\python3\nupic\encoders\adaptive_scalar.py", line 175, in encodeIntoArray
super(AdaptiveScalarEncoder, self).encodeIntoArray(input, output)
File "D:\nupic\src\python\python3\nupic\encoders\scalar.py", line 451, in encodeIntoArray
output[minbin:maxbin + 1] = 1
TypeError: slice indices must be integers or None or have an __index__ method
======================================================================
ERROR: testNonPeriodicEncoderMinMaxSpec (__main__.AdaptiveScalarTest)
Non-periodic encoder, min and max specified
----------------------------------------------------------------------
Traceback (most recent call last):
File "adaptivescalar_test.py", line 64, in testNonPeriodicEncoderMinMaxSpec
self._l.encode(1),
File "D:\nupic\src\python\python3\nupic\encoders\base.py", line 150, in encode
self.encodeIntoArray(inputData, output)
File "D:\nupic\src\python\python3\nupic\encoders\adaptive_scalar.py", line 175, in encodeIntoArray
super(AdaptiveScalarEncoder, self).encodeIntoArray(input, output)
File "D:\nupic\src\python\python3\nupic\encoders\scalar.py", line 451, in encodeIntoArray
output[minbin:maxbin + 1] = 1
TypeError: slice indices must be integers or None or have an __index__ method
======================================================================
ERROR: testTopDownDecode (__main__.AdaptiveScalarTest)
Test the input description generation and topDown decoding
----------------------------------------------------------------------
Traceback (most recent call last):
File "adaptivescalar_test.py", line 83, in testTopDownDecode
output = l.encode(v)
File "D:\nupic\src\python\python3\nupic\encoders\base.py", line 150, in encode
self.encodeIntoArray(inputData, output)
File "D:\nupic\src\python\python3\nupic\encoders\adaptive_scalar.py", line 175, in encodeIntoArray
super(AdaptiveScalarEncoder, self).encodeIntoArray(input, output)
File "D:\nupic\src\python\python3\nupic\encoders\scalar.py", line 451, in encodeIntoArray
output[minbin:maxbin + 1] = 1
TypeError: slice indices must be integers or None or have an __index__ method
----------------------------------------------------------------------
Ran 7 tests in 0.003s
FAILED (errors=4, skipped=1)
spatial_pooler_boost_test.py
SP seed set to: 33341
{'inputDimensions': [90], 'columnDimensions': [600], 'potentialRadius': 90, 'potentialPct': 0.9, 'globalInhibition': True, 'numActiveColumnsPerInhArea': 60, 'synPermActiveInc': 0.0, 'synPermInactiveDec': 0.0, 'dutyCyclePeriod': 10, 'boostStrength': 10.0, 'seed': 33341}
.SP seed set to: 33341
{'inputDimensions': [90], 'columnDimensions': [600], 'potentialRadius': 90, 'potentialPct': 0.9, 'globalInhibition': True, 'numActiveColumnsPerInhArea': 60, 'synPermActiveInc': 0.0, 'synPermInactiveDec': 0.0, 'dutyCyclePeriod': 10, 'boostStrength': 10.0, 'seed': 33341}
E
======================================================================
ERROR: testBoostingPY (__main__.SpatialPoolerBoostTest)
----------------------------------------------------------------------
Traceback (most recent call last):
File "spatial_pooler_boost_test.py", line 302, in testBoostingPY
self.boostTestLoop("py")
File "spatial_pooler_boost_test.py", line 291, in boostTestLoop
self.sp = CreateSP(imp, self.params)
File "D:\nupic\src\python\python3\nupic\support\unittesthelpers\algorithm_test_helpers.py", line 167, in CreateSP
sp = spClass(**params)
File "D:\nupic\src\python\python3\nupic\algorithms\spatial_pooler.py", line 262, in __init__
.format(repr(numColumns)))
nupic.algorithms.spatial_pooler.InvalidSPParamValueError: Invalid number of columns (600)
----------------------------------------------------------------------
Ran 2 tests in 1.477s
FAILED (errors=1)
sdrcategory_test.py
input: <UNKNOWN> index: 0 output: [ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 1. 0. 0. 0. 0. 0.
1. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 1.
0. 0. 0. 0. 0. 0. 0. 0. 0. 1. 0. 0. 0. 0. 0. 0. 0. 0.
0. 1. 0. 0. 0. 0. 0. 0. 1. 0. 0. 0. 0. 0. 0. 0. 0. 0.
0. 1. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 1. 0.
0. 1. 0. 1. 0. 0. 0. 0. 0. 0.]
Overlaps for decoding:
10 <UNKNOWN>
decoded: foo:[<UNKNOWN>]
EsE
======================================================================
ERROR: testAutogrow (__main__.SDRCategoryEncoderTest)
testing auto-grow
----------------------------------------------------------------------
Traceback (most recent call last):
File "sdrcategory_test.py", line 221, in testAutogrow
s.encodeIntoArray("catA", encoded)
File "D:\nupic\src\python\python3\nupic\encoders\sdr_category.py", line 240, in encodeIntoArray
index = self.getBucketIndices(input)[0]
File "D:\nupic\src\python\python3\nupic\encoders\sdr_category.py", line 232, in getBucketIndices
return self.getScalars(input)
File "D:\nupic\src\python\python3\nupic\encoders\sdr_category.py", line 218, in getScalars
self._addCategory(input)
File "D:\nupic\src\python\python3\nupic\encoders\sdr_category.py", line 170, in _addCategory
newrep = self._newRep()
File "D:\nupic\src\python\python3\nupic\encoders\sdr_category.py", line 198, in _newRep
"%d attempts" % (self.ncategories, maxAttempts))
RuntimeError: Error, could not find unique pattern 1 after 1000 attempts
======================================================================
ERROR: testSDRCategoryEncoder (__main__.SDRCategoryEncoderTest)
----------------------------------------------------------------------
Traceback (most recent call last):
File "sdrcategory_test.py", line 55, in testSDRCategoryEncoder
name="foo", verbosity=0, forced=True)
File "D:\nupic\src\python\python3\nupic\encoders\sdr_category.py", line 96, in __init__
self._addCategory(category)
File "D:\nupic\src\python\python3\nupic\encoders\sdr_category.py", line 170, in _addCategory
newrep = self._newRep()
File "D:\nupic\src\python\python3\nupic\encoders\sdr_category.py", line 198, in _newRep
"%d attempts" % (self.ncategories, maxAttempts))
RuntimeError: Error, could not find unique pattern 1 after 1000 attempts
----------------------------------------------------------------------
Ran 3 tests in 0.266s
FAILED (errors=2, skipped=1)
sdr_classifier_test
\python3\tests\unit\nupic\algorithms>python sdr_classifier_test.py
...F....................ss.
======================================================================
FAIL: testComputeCategory (__main__.SDRClassifierTest)
----------------------------------------------------------------------
Traceback (most recent call last):
File "sdr_classifier_test.py", line 249, in testComputeCategory
self.assertIsInstance(value, (type(None), bytes))
AssertionError: 'D' is not an instance of (<class 'NoneType'>, <class 'bytes'>)
coordinate_test.py
EEEEEEEEE.....Es.
======================================================================
ERROR: testBitForCoordinate (__main__.CoordinateEncoderTest)
----------------------------------------------------------------------
Traceback (most recent call last):
File "coordinate_test.py", line 99, in testBitForCoordinate
b1 = self.encoder._bitForCoordinate(np.array([2, 5, 10]), n)
File "D:\nupic\src\python\python3\nupic\encoders\coordinate.py", line 180, in _bitForCoordinate
seed = cls._hashCoordinate(coordinate)
File "D:\nupic\src\python\python3\nupic\encoders\coordinate.py", line 153, in _hashCoordinate
hash = int(int(hashlib.md5(coordinateStr).hexdigest(), 16) % (2 ** 64))
TypeError: Unicode-objects must be encoded before hashing
======================================================================
ERROR: testEncodeAdjacentPositions (__main__.CoordinateEncoderTest)
----------------------------------------------------------------------
Traceback (most recent call last):
File "coordinate_test.py", line 267, in testEncodeAdjacentPositions
num=1)
File "coordinate_test.py", line 344, in overlapsForRelativeAreas
outputA = encode(encoder, np.array(initPosition), initRadius)
File "coordinate_test.py", line 318, in encode
encoder.encodeIntoArray((coordinate, radius), output)
File "D:\nupic\src\python\python3\nupic\encoders\coordinate.py", line 107, in encodeIntoArray
winners = self._topWCoordinates(neighbors, self.w)
File "D:\nupic\src\python\python3\nupic\encoders\coordinate.py", line 143, in _topWCoordinates
for c in coordinates.tolist()])
File "D:\nupic\src\python\python3\nupic\encoders\coordinate.py", line 143, in <listcomp>
for c in coordinates.tolist()])
File "D:\nupic\src\python\python3\nupic\encoders\coordinate.py", line 166, in _orderForCoordinate
seed = cls._hashCoordinate(coordinate)
File "D:\nupic\src\python\python3\nupic\encoders\coordinate.py", line 153, in _hashCoordinate
hash = int(int(hashlib.md5(coordinateStr).hexdigest(), 16) % (2 ** 64))
TypeError: Unicode-objects must be encoded before hashing
======================================================================
ERROR: testEncodeIntoArray (__main__.CoordinateEncoderTest)
----------------------------------------------------------------------
Traceback (most recent call last):
File "coordinate_test.py", line 171, in testEncodeIntoArray
output1 = encode(encoder, coordinate, radius)
File "coordinate_test.py", line 318, in encode
encoder.encodeIntoArray((coordinate, radius), output)
File "D:\nupic\src\python\python3\nupic\encoders\coordinate.py", line 107, in encodeIntoArray
winners = self._topWCoordinates(neighbors, self.w)
File "D:\nupic\src\python\python3\nupic\encoders\coordinate.py", line 143, in _topWCoordinates
for c in coordinates.tolist()])
File "D:\nupic\src\python\python3\nupic\encoders\coordinate.py", line 143, in <listcomp>
for c in coordinates.tolist()])
File "D:\nupic\src\python\python3\nupic\encoders\coordinate.py", line 166, in _orderForCoordinate
seed = cls._hashCoordinate(coordinate)
File "D:\nupic\src\python\python3\nupic\encoders\coordinate.py", line 153, in _hashCoordinate
hash = int(int(hashlib.md5(coordinateStr).hexdigest(), 16) % (2 ** 64))
TypeError: Unicode-objects must be encoded before hashing
======================================================================
ERROR: testEncodeRelativePositions (__main__.CoordinateEncoderTest)
----------------------------------------------------------------------
Traceback (most recent call last):
File "coordinate_test.py", line 199, in testEncodeRelativePositions
num=5)
File "coordinate_test.py", line 344, in overlapsForRelativeAreas
outputA = encode(encoder, np.array(initPosition), initRadius)
File "coordinate_test.py", line 318, in encode
encoder.encodeIntoArray((coordinate, radius), output)
File "D:\nupic\src\python\python3\nupic\encoders\coordinate.py", line 107, in encodeIntoArray
winners = self._topWCoordinates(neighbors, self.w)
File "D:\nupic\src\python\python3\nupic\encoders\coordinate.py", line 143, in _topWCoordinates
for c in coordinates.tolist()])
File "D:\nupic\src\python\python3\nupic\encoders\coordinate.py", line 143, in <listcomp>
for c in coordinates.tolist()])
File "D:\nupic\src\python\python3\nupic\encoders\coordinate.py", line 166, in _orderForCoordinate
seed = cls._hashCoordinate(coordinate)
File "D:\nupic\src\python\python3\nupic\encoders\coordinate.py", line 153, in _hashCoordinate
hash = int(int(hashlib.md5(coordinateStr).hexdigest(), 16) % (2 ** 64))
TypeError: Unicode-objects must be encoded before hashing
======================================================================
ERROR: testEncodeRelativePositionsAndRadii (__main__.CoordinateEncoderTest)
----------------------------------------------------------------------
Traceback (most recent call last):
File "coordinate_test.py", line 222, in testEncodeRelativePositionsAndRadii
num=5)
File "coordinate_test.py", line 344, in overlapsForRelativeAreas
outputA = encode(encoder, np.array(initPosition), initRadius)
File "coordinate_test.py", line 318, in encode
encoder.encodeIntoArray((coordinate, radius), output)
File "D:\nupic\src\python\python3\nupic\encoders\coordinate.py", line 107, in encodeIntoArray
winners = self._topWCoordinates(neighbors, self.w)
File "D:\nupic\src\python\python3\nupic\encoders\coordinate.py", line 143, in _topWCoordinates
for c in coordinates.tolist()])
File "D:\nupic\src\python\python3\nupic\encoders\coordinate.py", line 143, in <listcomp>
for c in coordinates.tolist()])
File "D:\nupic\src\python\python3\nupic\encoders\coordinate.py", line 166, in _orderForCoordinate
seed = cls._hashCoordinate(coordinate)
File "D:\nupic\src\python\python3\nupic\encoders\coordinate.py", line 153, in _hashCoordinate
hash = int(int(hashlib.md5(coordinateStr).hexdigest(), 16) % (2 ** 64))
TypeError: Unicode-objects must be encoded before hashing
======================================================================
ERROR: testEncodeRelativeRadii (__main__.CoordinateEncoderTest)
----------------------------------------------------------------------
Traceback (most recent call last):
File "coordinate_test.py", line 207, in testEncodeRelativeRadii
num=5)
File "coordinate_test.py", line 344, in overlapsForRelativeAreas
outputA = encode(encoder, np.array(initPosition), initRadius)
File "coordinate_test.py", line 318, in encode
encoder.encodeIntoArray((coordinate, radius), output)
File "D:\nupic\src\python\python3\nupic\encoders\coordinate.py", line 107, in encodeIntoArray
winners = self._topWCoordinates(neighbors, self.w)
File "D:\nupic\src\python\python3\nupic\encoders\coordinate.py", line 143, in _topWCoordinates
for c in coordinates.tolist()])
File "D:\nupic\src\python\python3\nupic\encoders\coordinate.py", line 143, in <listcomp>
for c in coordinates.tolist()])
File "D:\nupic\src\python\python3\nupic\encoders\coordinate.py", line 166, in _orderForCoordinate
seed = cls._hashCoordinate(coordinate)
File "D:\nupic\src\python\python3\nupic\encoders\coordinate.py", line 153, in _hashCoordinate
hash = int(int(hashlib.md5(coordinateStr).hexdigest(), 16) % (2 ** 64))
TypeError: Unicode-objects must be encoded before hashing
======================================================================
ERROR: testEncodeSaturateArea (__main__.CoordinateEncoderTest)
----------------------------------------------------------------------
Traceback (most recent call last):
File "coordinate_test.py", line 189, in testEncodeSaturateArea
outputA = encode(encoder, np.array([0, 0]), 2)
File "coordinate_test.py", line 318, in encode
encoder.encodeIntoArray((coordinate, radius), output)
File "D:\nupic\src\python\python3\nupic\encoders\coordinate.py", line 107, in encodeIntoArray
winners = self._topWCoordinates(neighbors, self.w)
File "D:\nupic\src\python\python3\nupic\encoders\coordinate.py", line 143, in _topWCoordinates
for c in coordinates.tolist()])
File "D:\nupic\src\python\python3\nupic\encoders\coordinate.py", line 143, in <listcomp>
for c in coordinates.tolist()])
File "D:\nupic\src\python\python3\nupic\encoders\coordinate.py", line 166, in _orderForCoordinate
seed = cls._hashCoordinate(coordinate)
File "D:\nupic\src\python\python3\nupic\encoders\coordinate.py", line 153, in _hashCoordinate
hash = int(int(hashlib.md5(coordinateStr).hexdigest(), 16) % (2 ** 64))
TypeError: Unicode-objects must be encoded before hashing
======================================================================
ERROR: testEncodeUnrelatedAreas (__main__.CoordinateEncoderTest)
----------------------------------------------------------------------
Traceback (most recent call last):
File "coordinate_test.py", line 234, in testEncodeUnrelatedAreas
overlaps = overlapsForUnrelatedAreas(1499, 37, 5)
File "coordinate_test.py", line 371, in overlapsForUnrelatedAreas
num=repetitions, verbose=verbose)
File "coordinate_test.py", line 344, in overlapsForRelativeAreas
outputA = encode(encoder, np.array(initPosition), initRadius)
File "coordinate_test.py", line 318, in encode
encoder.encodeIntoArray((coordinate, radius), output)
File "D:\nupic\src\python\python3\nupic\encoders\coordinate.py", line 107, in encodeIntoArray
winners = self._topWCoordinates(neighbors, self.w)
File "D:\nupic\src\python\python3\nupic\encoders\coordinate.py", line 143, in _topWCoordinates
for c in coordinates.tolist()])
File "D:\nupic\src\python\python3\nupic\encoders\coordinate.py", line 143, in <listcomp>
for c in coordinates.tolist()])
File "D:\nupic\src\python\python3\nupic\encoders\coordinate.py", line 166, in _orderForCoordinate
seed = cls._hashCoordinate(coordinate)
File "D:\nupic\src\python\python3\nupic\encoders\coordinate.py", line 153, in _hashCoordinate
hash = int(int(hashlib.md5(coordinateStr).hexdigest(), 16) % (2 ** 64))
TypeError: Unicode-objects must be encoded before hashing
======================================================================
ERROR: testHashCoordinate (__main__.CoordinateEncoderTest)
----------------------------------------------------------------------
Traceback (most recent call last):
File "coordinate_test.py", line 78, in testHashCoordinate
h1 = self.encoder._hashCoordinate(np.array([0]))
File "D:\nupic\src\python\python3\nupic\encoders\coordinate.py", line 153, in _hashCoordinate
hash = int(int(hashlib.md5(coordinateStr).hexdigest(), 16) % (2 ** 64))
TypeError: Unicode-objects must be encoded before hashing
======================================================================
ERROR: testOrderForCoordinate (__main__.CoordinateEncoderTest)
----------------------------------------------------------------------
Traceback (most recent call last):
File "coordinate_test.py", line 85, in testOrderForCoordinate
h1 = self.encoder._orderForCoordinate(np.array([2, 5, 10]))
File "D:\nupic\src\python\python3\nupic\encoders\coordinate.py", line 166, in _orderForCoordinate
seed = cls._hashCoordinate(coordinate)
File "D:\nupic\src\python\python3\nupic\encoders\coordinate.py", line 153, in _hashCoordinate
hash = int(int(hashlib.md5(coordinateStr).hexdigest(), 16) % (2 ** 64))
TypeError: Unicode-objects must be encoded before hashing
----------------------------------------------------------------------
Ran 17 tests in 0.006s
FAILED (errors=10, skipped=1)
anomalyzer_test.py
EEEEEEEEEEE
======================================================================
ERROR: testAddAll (__main__.AnomalyzerTest)
----------------------------------------------------------------------
Traceback (most recent call last):
File "anomalyzer_test.py", line 168, in testAddAll
inputFile = FileRecordStream("input_path")
File "D:\nupic\src\python\python3\nupic\data\file_record_stream.py", line 219, in __init__
for attrs in zip(names, types, specials)]
File "D:\nupic\src\python\python3\nupic\data\file_record_stream.py", line 219, in <listcomp>
for attrs in zip(names, types, specials)]
File "D:\nupic\src\python\python3\nupic\data\field_meta.py", line 75, in __init__
super(FieldMetaInfo, self).__init__(name, type, special)
TypeError: object.__init__() takes no parameters
======================================================================
ERROR: testAddBeginning (__main__.AnomalyzerTest)
----------------------------------------------------------------------
Traceback (most recent call last):
File "anomalyzer_test.py", line 64, in testAddBeginning
inputFile = FileRecordStream("input_path")
File "D:\nupic\src\python\python3\nupic\data\file_record_stream.py", line 219, in __init__
for attrs in zip(names, types, specials)]
File "D:\nupic\src\python\python3\nupic\data\file_record_stream.py", line 219, in <listcomp>
for attrs in zip(names, types, specials)]
File "D:\nupic\src\python\python3\nupic\data\field_meta.py", line 75, in __init__
super(FieldMetaInfo, self).__init__(name, type, special)
TypeError: object.__init__() takes no parameters
======================================================================
ERROR: testAddEnd (__main__.AnomalyzerTest)
----------------------------------------------------------------------
Traceback (most recent call last):
File "anomalyzer_test.py", line 116, in testAddEnd
inputFile = FileRecordStream("input_path")
File "D:\nupic\src\python\python3\nupic\data\file_record_stream.py", line 219, in __init__
for attrs in zip(names, types, specials)]
File "D:\nupic\src\python\python3\nupic\data\file_record_stream.py", line 219, in <listcomp>
for attrs in zip(names, types, specials)]
File "D:\nupic\src\python\python3\nupic\data\field_meta.py", line 75, in __init__
super(FieldMetaInfo, self).__init__(name, type, special)
TypeError: object.__init__() takes no parameters
======================================================================
ERROR: testAddMiddle (__main__.AnomalyzerTest)
----------------------------------------------------------------------
Traceback (most recent call last):
File "anomalyzer_test.py", line 90, in testAddMiddle
inputFile = FileRecordStream("input_path")
File "D:\nupic\src\python\python3\nupic\data\file_record_stream.py", line 219, in __init__
for attrs in zip(names, types, specials)]
File "D:\nupic\src\python\python3\nupic\data\file_record_stream.py", line 219, in <listcomp>
for attrs in zip(names, types, specials)]
File "D:\nupic\src\python\python3\nupic\data\field_meta.py", line 75, in __init__
super(FieldMetaInfo, self).__init__(name, type, special)
TypeError: object.__init__() takes no parameters
======================================================================
ERROR: testAddSingle (__main__.AnomalyzerTest)
----------------------------------------------------------------------
Traceback (most recent call last):
File "anomalyzer_test.py", line 142, in testAddSingle
inputFile = FileRecordStream("input_path")
File "D:\nupic\src\python\python3\nupic\data\file_record_stream.py", line 219, in __init__
for attrs in zip(names, types, specials)]
File "D:\nupic\src\python\python3\nupic\data\file_record_stream.py", line 219, in <listcomp>
for attrs in zip(names, types, specials)]
File "D:\nupic\src\python\python3\nupic\data\field_meta.py", line 75, in __init__
super(FieldMetaInfo, self).__init__(name, type, special)
TypeError: object.__init__() takes no parameters
======================================================================
ERROR: testCopyAllExplicit (__main__.AnomalyzerTest)
----------------------------------------------------------------------
Traceback (most recent call last):
File "anomalyzer_test.py", line 258, in testCopyAllExplicit
inputFile = FileRecordStream("input_path")
File "D:\nupic\src\python\python3\nupic\data\file_record_stream.py", line 219, in __init__
for attrs in zip(names, types, specials)]
File "D:\nupic\src\python\python3\nupic\data\file_record_stream.py", line 219, in <listcomp>
for attrs in zip(names, types, specials)]
File "D:\nupic\src\python\python3\nupic\data\field_meta.py", line 75, in __init__
super(FieldMetaInfo, self).__init__(name, type, special)
TypeError: object.__init__() takes no parameters
======================================================================
ERROR: testCopyAllImplicit (__main__.AnomalyzerTest)
----------------------------------------------------------------------
Traceback (most recent call last):
File "anomalyzer_test.py", line 226, in testCopyAllImplicit
inputFile = FileRecordStream("input_path")
File "D:\nupic\src\python\python3\nupic\data\file_record_stream.py", line 219, in __init__
for attrs in zip(names, types, specials)]
File "D:\nupic\src\python\python3\nupic\data\file_record_stream.py", line 219, in <listcomp>
for attrs in zip(names, types, specials)]
File "D:\nupic\src\python\python3\nupic\data\field_meta.py", line 75, in __init__
super(FieldMetaInfo, self).__init__(name, type, special)
TypeError: object.__init__() takes no parameters
======================================================================
ERROR: testCopyBeginning (__main__.AnomalyzerTest)
----------------------------------------------------------------------
Traceback (most recent call last):
File "anomalyzer_test.py", line 286, in testCopyBeginning
inputFile = FileRecordStream("input_path")
File "D:\nupic\src\python\python3\nupic\data\file_record_stream.py", line 219, in __init__
for attrs in zip(names, types, specials)]
File "D:\nupic\src\python\python3\nupic\data\file_record_stream.py", line 219, in <listcomp>
for attrs in zip(names, types, specials)]
File "D:\nupic\src\python\python3\nupic\data\field_meta.py", line 75, in __init__
super(FieldMetaInfo, self).__init__(name, type, special)
TypeError: object.__init__() takes no parameters
======================================================================
ERROR: testCopyOneRow (__main__.AnomalyzerTest)
----------------------------------------------------------------------
Traceback (most recent call last):
File "anomalyzer_test.py", line 313, in testCopyOneRow
inputFile = FileRecordStream("input_path")
File "D:\nupic\src\python\python3\nupic\data\file_record_stream.py", line 219, in __init__
for attrs in zip(names, types, specials)]
File "D:\nupic\src\python\python3\nupic\data\file_record_stream.py", line 219, in <listcomp>
for attrs in zip(names, types, specials)]
File "D:\nupic\src\python\python3\nupic\data\field_meta.py", line 75, in __init__
super(FieldMetaInfo, self).__init__(name, type, special)
TypeError: object.__init__() takes no parameters
======================================================================
ERROR: testSample (__main__.AnomalyzerTest)
----------------------------------------------------------------------
Traceback (most recent call last):
File "anomalyzer_test.py", line 330, in testSample
inputFile = FileRecordStream("input_path")
File "D:\nupic\src\python\python3\nupic\data\file_record_stream.py", line 219, in __init__
for attrs in zip(names, types, specials)]
File "D:\nupic\src\python\python3\nupic\data\file_record_stream.py", line 219, in <listcomp>
for attrs in zip(names, types, specials)]
File "D:\nupic\src\python\python3\nupic\data\field_meta.py", line 75, in __init__
super(FieldMetaInfo, self).__init__(name, type, special)
TypeError: object.__init__() takes no parameters
======================================================================
ERROR: testScale (__main__.AnomalyzerTest)
----------------------------------------------------------------------
Traceback (most recent call last):
File "anomalyzer_test.py", line 194, in testScale
inputFile = FileRecordStream("input_path")
File "D:\nupic\src\python\python3\nupic\data\file_record_stream.py", line 219, in __init__
for attrs in zip(names, types, specials)]
File "D:\nupic\src\python\python3\nupic\data\file_record_stream.py", line 219, in <listcomp>
for attrs in zip(names, types, specials)]
File "D:\nupic\src\python\python3\nupic\data\field_meta.py", line 75, in __init__
super(FieldMetaInfo, self).__init__(name, type, special)
TypeError: object.__init__() takes no parameters
----------------------------------------------------------------------
Ran 11 tests in 0.007s
FAILED (errors=11)
sp_overlap_test.py
Running SP overlap test...
scalar encoder, Random seed: 42 and 90 colors
Es
Running SP overlap test...
category encoder, Random seed: 42 and 90 colors
Es
======================================================================
ERROR: testCategory (__main__.TestSPFrequency)
Test that the most frequent possible option is chosen for a scalar
----------------------------------------------------------------------
Traceback (most recent call last):
File "sp_overlap_test.py", line 57, in testCategory
self.frequency(n=100, w=21, seed=SEED, numColors=90, encoder = 'scalar')
File "sp_overlap_test.py", line 116, in frequency
globalInhibition=True,
TypeError: __init__(): incompatible constructor arguments. The following argument types are supported:
1. nupic.bindings.algorithms.SpatialPooler()
2. nupic.bindings.algorithms.SpatialPooler(inputDimensions: List[int], columnDimensions: List[int], potentialRadius: int=16, potentialPct: float=0.5, globalInhibition: bool=False, localAreaDensity: float=-1.0, numActiveColumnsPerInhArea: int=10.0, stimulusThreshold: int=0, synPermInactiveDec: float=0.01, synPermActiveInc: float=0.1, synPermConnected: float=0.1, minPctOverlapDutyCycles: float=0.001, dutyCyclePeriod: int=1000, boostStrength: float=0.0, seed: int=-1, spVerbosity: int=0, wrapAround: bool=True)
Invoked with: kwargs: columnDimensions=(2048, 1), inputDimensions=(1, 100), potentialRadius=50.0, numActiveColumnsPerInhArea=40, spVerbosity=0, stimulusThreshold=0, potentialPct=0.5, seed=1, globalInhibition=True
======================================================================
ERROR: testScalar (__main__.TestSPFrequency)
Test that the most frequent possible option is chosen for a category
----------------------------------------------------------------------
Traceback (most recent call last):
File "sp_overlap_test.py", line 63, in testScalar
self.frequency(n=30, w=21, seed=SEED, numColors=90, encoder = 'category')
File "sp_overlap_test.py", line 116, in frequency
globalInhibition=True,
TypeError: __init__(): incompatible constructor arguments. The following argument types are supported:
1. nupic.bindings.algorithms.SpatialPooler()
2. nupic.bindings.algorithms.SpatialPooler(inputDimensions: List[int], columnDimensions: List[int], potentialRadius: int=16, potentialPct: float=0.5, globalInhibition: bool=False, localAreaDensity: float=-1.0, numActiveColumnsPerInhArea: int=10.0, stimulusThreshold: int=0, synPermInactiveDec: float=0.01, synPermActiveInc: float=0.1, synPermConnected: float=0.1, minPctOverlapDutyCycles: float=0.001, dutyCyclePeriod: int=1000, boostStrength: float=0.0, seed: int=-1, spVerbosity: int=0, wrapAround: bool=True)
Invoked with: kwargs: columnDimensions=(2048, 1), inputDimensions=(1, 30), potentialRadius=15.0, numActiveColumnsPerInhArea=40, spVerbosity=0, stimulusThreshold=0, potentialPct=0.5, seed=1, globalInhibition=True
----------------------------------------------------------------------
Ran 4 tests in 0.004s
FAILED (errors=2, skipped=2)
logenc_test.py
...F.s
======================================================================
FAIL: testLogEncoder (__main__.LogEncoderTest)
----------------------------------------------------------------------
Traceback (most recent call last):
File "logenc_test.py", line 107, in testLogEncoder
self.assertTrue(numpy.array_equal(ranges[0], [1, 1]))
AssertionError: False is not true
----------------------------------------------------------------------
Ran 6 tests in 0.015s
date_test.py
..F..s..
======================================================================
FAIL: testDecoding (__main__.DateEncoderTest)
decoding date
----------------------------------------------------------------------
Traceback (most recent call last):
File "date_test.py", line 102, in testDecoding
self.assertSequenceEqual(ranges[0], [305, 305])
AssertionError: Sequences differ: [320.25, 320.25] != [305, 305]
First differing element 0:
320.25
305
- [320.25, 320.25]
? - -- - --
+ [305, 305]
sparse_matrix_how_to.py
Commenting out parameter "dtype='Float32'"
Add SparseBinaryMatrix (SM_01_32_16)
knn_classifier_test.py
There are a bunch of python related exceptions.
d:\nupic\src\python\python3\tests\unit\nupic\algorithms>python knn_classifier_test.py
EEEE.EEE.sE.s
======================================================================
ERROR: testDistanceMetrics (__main__.KNNClassifierTest)
----------------------------------------------------------------------
Traceback (most recent call last):
File "knn_classifier_test.py", line 92, in testDistanceMetrics
_, _, dist, _ = classifier.infer(input)
File "D:\nupic\src\python\python3\nupic\algorithms\knn_classifier.py", line 714, in infer
dist = self._getDistances(inputPattern, partitionId=partitionId)
File "D:\nupic\src\python\python3\nupic\algorithms\knn_classifier.py", line 1012, in _getDistances
dist = self._calcDistance(sparseInput)
File "D:\nupic\src\python\python3\nupic\algorithms\knn_classifier.py", line 973, in _calcDistance
distMax = dist.max()
File "C:\Python36\lib\site-packages\numpy\core\_methods.py", line 26, in _amax
return umr_maximum(a, axis, None, out, keepdims)
ValueError: zero-size array to reduction operation maximum which has no identity
======================================================================
ERROR: testGetPartitionId (__main__.KNNClassifierTest)
----------------------------------------------------------------------
Traceback (most recent call last):
File "knn_classifier_test.py", line 330, in testGetPartitionId
cat, _, _, _ = classifier.infer(denseA, partitionId=213)
File "D:\nupic\src\python\python3\nupic\algorithms\knn_classifier.py", line 714, in infer
dist = self._getDistances(inputPattern, partitionId=partitionId)
File "D:\nupic\src\python\python3\nupic\algorithms\knn_classifier.py", line 1019, in _getDistances
dist[self._partitionIdMap.get(partitionId, [])] = numpy.inf
IndexError: index 1 is out of bounds for axis 0 with size 0
python crash with backtracking_tm_cpp.py
How to setup Python3 NUPIC version
Just asking if there is a quick start guide to have the Python3 NUPIC version up and running?
Thanks
two_gram_model_test.py
..E..s
======================================================================
ERROR: testCategoryPredictions (__main__.TwoGramModelTest)
----------------------------------------------------------------------
Traceback (most recent call last):
File "two_gram_model_test.py", line 144, in testCategoryPredictions
results = twoGramModel.run(inputRecord)
File "D:\nupic\src\python\python3\nupic\frameworks\opf\two_gram_model.py", line 71, in run
inputFieldEncodings = self._encoder.encodeEachField(inputRecord)
File "D:\nupic\src\python\python3\nupic\encoders\multi.py", line 127, in encodeEachField
encodings.append(encoder.encode(getattr(inputRecord, name)))
File "D:\nupic\src\python\python3\nupic\encoders\base.py", line 150, in encode
self.encodeIntoArray(inputData, output)
File "D:\nupic\src\python\python3\nupic\encoders\sdr_category.py", line 240, in encodeIntoArray
index = self.getBucketIndices(input)[0]
File "D:\nupic\src\python\python3\nupic\encoders\sdr_category.py", line 232, in getBucketIndices
return self.getScalars(input)
File "D:\nupic\src\python\python3\nupic\encoders\sdr_category.py", line 218, in getScalars
self._addCategory(input)
File "D:\nupic\src\python\python3\nupic\encoders\sdr_category.py", line 170, in _addCategory
newrep = self._newRep()
File "D:\nupic\src\python\python3\nupic\encoders\sdr_category.py", line 198, in _newRep
"%d attempts" % (self.ncategories, maxAttempts))
RuntimeError: Error, could not find unique pattern 1 after 1000 attempts
----------------------------------------------------------------------
Ran 6 tests in 0.146s
FAILED (errors=1, skipped=1)
SparseMatrix::setBox bug
see sparse_matrix_test.py in test_setBox
Build static libs with Multi-threaded DLL (MD) runtime lib
zlib and gtest
knn_anomaly_classifier_region_test.py
................D:\nupic\src\python\python3\nupic\algorithms\knn_classifier.py:358: DeprecationWarning: using a non-integer array as obj in delete will result in an error in the future
removalArray).tolist()
D:\nupic\src\python\python3\nupic\algorithms\knn_classifier.py:362: DeprecationWarning: using a non-integer array as obj in delete will result in an error in the future
numpy.array(self._categoryRecencyList), removalArray).tolist()
.E.Fs
======================================================================
ERROR: testSetGetWaitRecordsRecalculate (__main__.KNNAnomalyClassifierRegionTest)
----------------------------------------------------------------------
Traceback (most recent call last):
File "C:\Python36\lib\unittest\mock.py", line 1179, in patched
return func(*args, **keywargs)
File "knn_anomaly_classifier_region_test.py", line 342, in testSetGetWaitRecordsRecalculate
self.helper.compute(dict(), dict())
File "D:\nupic\src\python\python3\nupic\regions\knn_anomaly_classifier_region.py", line 326, in compute
self._classifyState(record)
File "D:\nupic\src\python\python3\nupic\regions\knn_anomaly_classifier_region.py", line 370, in _classifyState
newCategory = self._recomputeRecordFromKNN(state)
File "D:\nupic\src\python\python3\nupic\regions\knn_anomaly_classifier_region.py", line 564, in _recomputeRecordFromKNN
self._knnclassifier.compute(inputs, outputs)
File "D:\nupic\src\python\python3\nupic\regions\knn_classifier_region.py", line 964, in compute
self._knn.infer(inputVector, partitionId=partition)
File "D:\nupic\src\python\python3\nupic\algorithms\knn_classifier.py", line 736, in infer
self._categoryList, dist)
RuntimeError: Buffer access out of bounds.
======================================================================
FAIL: testUpdateState (__main__.KNNAnomalyClassifierRegionTest)
----------------------------------------------------------------------
Traceback (most recent call last):
File "C:\Python36\lib\unittest\mock.py", line 1179, in patched
return func(*args, **keywargs)
File "knn_anomaly_classifier_region_test.py", line 433, in testUpdateState
[recordCopy["anomalyLabel"][0], toLabelList.return_value[0]])
AssertionError: Lists differ: ['Label 2', 'Label'] != ['Label', 'Label 2']
First differing element 0:
'Label 2'
'Label'
- ['Label 2', 'Label']
? --
+ ['Label', 'Label 2']
? ++
----------------------------------------------------------------------
Ran 21 tests in 0.046s
FAILED (failures=1, errors=1, skipped=1)
Add not implemented SparseMatrix functions
sm.def("nonZeroIndicesIncluded", [](SparseMatrix32_t& sm, py::args args) { throw std::runtime_error("Not implemented."); });
sm.def("transpose", [](SparseMatrix32_t& sm, py::args args) { throw std::runtime_error("Not implemented."); });
sm.def("addToTranspose", [](SparseMatrix32_t& sm, py::args args) { throw std::runtime_error("Not implemented."); });
sm.def("thresholdRow", [](SparseMatrix32_t& sm, py::args args, py::kwargs kwargs) { throw std::runtime_error("Not implemented."); });
sm.def("thresholdCol", [](SparseMatrix32_t& sm, py::args args, py::kwargs kwargs) { throw std::runtime_error("Not implemented."); });
sm.def("multiply", [](SparseMatrix32_t& sm, py::args args) { throw std::runtime_error("Not implemented."); });
sm.def("add", [](SparseMatrix32_t& sm, py::args args) { throw std::runtime_error("Not implemented."); });
sm.def("subtract", [](SparseMatrix32_t& sm, py::args args) { throw std::runtime_error("Not implemented."); });
geospatial_coordinate.py
.........Fs
======================================================================
FAIL: testRadiusForSpeedInt (__main__.GeospatialCoordinateEncoderTest)
Test that radius will round to the nearest integer
----------------------------------------------------------------------
Traceback (most recent call last):
File "geospatial_coordinate_test.py", line 108, in testRadiusForSpeedInt
self.assertEqual(radius, 38)
AssertionError: 39 != 38
----------------------------------------------------------------------
Ran 11 tests in 0.520s
FAILED (failures=1, skipped=1)
object_json_test.py
..FF...........
======================================================================
FAIL: testDates (__main__.TestObjectJson)
----------------------------------------------------------------------
Traceback (most recent call last):
File "object_json_test.py", line 54, in testDates
'{"py/object": "datetime.date", '
File "D:\nupic\src\python\python3\nupic\support\unittesthelpers\testcasebase.py", line 112, in assertEqual
unittest.TestCase.assertEqual(self, first, second, self.__wrapMsg(msg))
AssertionError: '{"py/repr": "datetime.date(2012, 9, 25)", "py/object": "datetime.date"}' != '{"py/object": "datetime.date", "py/repr": "datetime.date(2012, 9, 25)"}'
- {"py/repr": "datetime.date(2012, 9, 25)", "py/object": "datetime.date"}
+ {"py/object": "datetime.date", "py/repr": "datetime.date(2012, 9, 25)"}
: None
======================================================================
FAIL: testDatetimes (__main__.TestObjectJson)
----------------------------------------------------------------------
Traceback (most recent call last):
File "object_json_test.py", line 65, in testDatetimes
'{"py/object": "datetime.datetime", "py/repr": '
File "D:\nupic\src\python\python3\nupic\support\unittesthelpers\testcasebase.py", line 112, in assertEqual
unittest.TestCase.assertEqual(self, first, second, self.__wrapMsg(msg))
AssertionError: '{"py/repr": "datetime.datetime(2012, 9, 25, 14[48 chars]me"}' != '{"py/object": "datetime.datetime", "py/repr": [48 chars]9)"}'
- {"py/repr": "datetime.datetime(2012, 9, 25, 14, 33, 8, 455969)", "py/object": "datetime.datetime"}
+ {"py/object": "datetime.datetime", "py/repr": "datetime.datetime(2012, 9, 25, 14, 33, 8, 455969)"}
: None
----------------------------------------------------------------------
Ran 15 tests in 0.011s
FAILED (failures=2)
aggregator_test.py
F
======================================================================
FAIL: testFixAggregationDict (__main__.AggregatorTest)
----------------------------------------------------------------------
Traceback (most recent call last):
File "aggregator_test.py", line 41, in testFixAggregationDict
self.assertAlmostEqual(result, 1, places=7)
AssertionError: 1.6666666666666667 != 1 within 7 places
----------------------------------------------------------------------
Ran 1 test in 0.000s
FAILED (failures=1)
random_distributed_scalar.py
line 29, in
from nupic.bindings.math import SM32, GetNTAReal
ModuleNotFoundError: No module named 'nupic.bindings.math'
nupic.engine.__init__.py
EsEsE
======================================================================
ERROR: testPhases (__main__.NetworkSugarTest)
----------------------------------------------------------------------
Traceback (most recent call last):
File "syntactic_sugar_test.py", line 33, in testPhases
n = net.Network()
File "D:\nupic\src\python\python3\nupic\engine\__init__.py", line 609, in __init__
obj.__func__.__doc__ = docString
AttributeError: attribute '__doc__' of 'builtin_function_or_method' objects is not writable
======================================================================
ERROR: testRegionCollection (__main__.NetworkSugarTest)
----------------------------------------------------------------------
Traceback (most recent call last):
File "syntactic_sugar_test.py", line 63, in testRegionCollection
n = net.Network()
File "D:\nupic\src\python\python3\nupic\engine\__init__.py", line 609, in __init__
obj.__func__.__doc__ = docString
AttributeError: attribute '__doc__' of 'builtin_function_or_method' objects is not writable
create test case for getSegmentActivityLevel()
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