Unit test file in ubuntu

[issouker97]

Hi everyone , i've installed PyBrain in my ubuntu 14.04 and when i checked if my installation was done successfully i relied to these methodes mentioned here https://github.com/pybrain/pybrain/wiki/Installation
the first reveal that there is no problem contrary to the second where this problem has appeared

INFO Tests found: pybrain.tests.unittests.structure.modules.test_simple_lstm_network
INFO Tests found: pybrain.tests.unittests.structure.modules.test_peephole_lstm
INFO Tests found: pybrain.tests.unittests.structure.modules.test_simple_mdlstm
INFO Tests found: pybrain.tests.unittests.structure.modules.test_samplelayer
INFO Tests found: pybrain.tests.unittests.structure.networks.custom.test_convolutional_nets
INFO Tests found: pybrain.tests.unittests.structure.networks.custom.test_capturegame_network
INFO Tests found: pybrain.tests.unittests.optimization.populationbased.test_pso_ring
......FFF..FF.....F.....F.FFF..

FAIL: test_rprop (pybrain.tests.unittests.supervised.trainers)
Doctest: pybrain.tests.unittests.supervised.trainers.test_rprop

Traceback (most recent call last):
File "/usr/lib/python2.7/doctest.py", line 2226, in runTest
raise self.failureException(self.format_failure(new.getvalue()))
AssertionError: Failed doctest test for pybrain.tests.unittests.supervised.trainers.test_rprop
File "/home/islamusma/pybrain/pybrain/tests/unittests/supervised/trainers/test_rprop.py", line 0, in test_rprop

---

File "/home/islamusma/pybrain/pybrain/tests/unittests/supervised/trainers/test_rprop.py", line 28, in pybrain.tests.unittests.supervised.trainers.test_rprop
Failed example:
abs(n.params[10:15] - array([ -0.53868206, -0.54185834, 0.26726394, -1.90008234, -1.12114946])).round(5)
Expected:
array([ 0., 0., 0., 0., 0.])
Got:
array([0., 0., 0., 0., 0.])

File "/home/islamusma/pybrain/pybrain/tests/unittests/supervised/trainers/test_rprop.py", line 39, in pybrain.tests.unittests.supervised.trainers.test_rprop
Failed example:
abs(n.params[5:10] - array([ -0.19241111, 1.43404022, 0.23062397, -0.40105413, 0.62100109])).round(5)
Expected:
array([ 0., 0., 0., 0., 0.])
Got:
array([0., 0., 0., 0., 0.])

======================================================================
FAIL: test_minhash (pybrain.tests.unittests.supervised.knn.lsh)
Doctest: pybrain.tests.unittests.supervised.knn.lsh.test_minhash

Traceback (most recent call last):
File "/usr/lib/python2.7/doctest.py", line 2226, in runTest
raise self.failureException(self.format_failure(new.getvalue()))
AssertionError: Failed doctest test for pybrain.tests.unittests.supervised.knn.lsh.test_minhash
File "/home/islamusma/pybrain/pybrain/tests/unittests/supervised/knn/lsh/test_minhash.py", line 2, in test_minhash

---

File "/home/islamusma/pybrain/pybrain/tests/unittests/supervised/knn/lsh/test_minhash.py", line 56, in pybrain.tests.unittests.supervised.knn.lsh.test_minhash
Failed example:
pprint.pprint(dict(m.buckets))
Expected:
{(0, 0): [(array([ True, True, True, True, True], dtype=bool), 'red')]}
Got:
{(0, 0): [(array([ True, True, True, True, True]), 'red')]}

File "/home/islamusma/pybrain/pybrain/tests/unittests/supervised/knn/lsh/test_minhash.py", line 68, in pybrain.tests.unittests.supervised.knn.lsh.test_minhash
Failed example:
m.knn(array([1, 1, 0, 0, 0]), 1)
Expected:
[(array([... True, False], dtype=bool), 'red')]
Got:
[(array([ True, True, True, True, False]), 'red')]

File "/home/islamusma/pybrain/pybrain/tests/unittests/supervised/knn/lsh/test_minhash.py", line 70, in pybrain.tests.unittests.supervised.knn.lsh.test_minhash
Failed example:
m.knn(array([1, 1, 0, 0, 0]), 1)
Expected:
[(array([... True, False], dtype=bool), 'red')]
Got:
[(array([ True, True, True, True, False]), 'red')]

======================================================================
FAIL: test_nearoptimal (pybrain.tests.unittests.supervised.knn.lsh)
Doctest: pybrain.tests.unittests.supervised.knn.lsh.test_nearoptimal

Traceback (most recent call last):
File "/usr/lib/python2.7/doctest.py", line 2226, in runTest
raise self.failureException(self.format_failure(new.getvalue()))
AssertionError: Failed doctest test for pybrain.tests.unittests.supervised.knn.lsh.test_nearoptimal
File "/home/islamusma/pybrain/pybrain/tests/unittests/supervised/knn/lsh/test_nearoptimal.py", line 2, in test_nearoptimal

---

File "/home/islamusma/pybrain/pybrain/tests/unittests/supervised/knn/lsh/test_nearoptimal.py", line 35, in pybrain.tests.unittests.supervised.knn.lsh.test_nearoptimal
Failed example:
m._findHypercube(a)
Expected:
(array([0, 0]), array([ 0., 0.]))
Got:
(array([0, 0]), array([0., 0.]))

File "/home/islamusma/pybrain/pybrain/tests/unittests/supervised/knn/lsh/test_nearoptimal.py", line 39, in pybrain.tests.unittests.supervised.knn.lsh.test_nearoptimal
Failed example:
m._findHypercube(b)
Expected:
(array([3, 0]), array([ 0.14, 0.5 ]))
Got:
(array([3, 0]), array([0.14, 0.5 ]))

File "/home/islamusma/pybrain/pybrain/tests/unittests/supervised/knn/lsh/test_nearoptimal.py", line 43, in pybrain.tests.unittests.supervised.knn.lsh.test_nearoptimal
Failed example:
m._findHypercube(c)
Expected:
(array([ 0, 42]), array([ 0.5, 0.1]))
Got:
(array([ 0, 42]), array([0.5, 0.1]))

File "/home/islamusma/pybrain/pybrain/tests/unittests/supervised/knn/lsh/test_nearoptimal.py", line 47, in pybrain.tests.unittests.supervised.knn.lsh.test_nearoptimal
Failed example:
m._findHypercube(d)
Expected:
(array([-1, 2]), array([ 0.1, 0.1]))
Got:
(array([-1, 2]), array([0.1, 0.1]))

File "/home/islamusma/pybrain/pybrain/tests/unittests/supervised/knn/lsh/test_nearoptimal.py", line 112, in pybrain.tests.unittests.supervised.knn.lsh.test_nearoptimal
Failed example:
m.knn(array([0.9585762, 1.15822724]), 1)
Expected:
[(array([ 0.9585762 , 1.15822724]), 'red')]
Got:
[(array([0.9585762 , 1.15822724]), 'red')]

======================================================================
FAIL: test_network_decomposition (pybrain.tests.unittests.structure.networks)
Doctest: pybrain.tests.unittests.structure.networks.test_network_decomposition

Traceback (most recent call last):
File "/usr/lib/python2.7/doctest.py", line 2226, in runTest
raise self.failureException(self.format_failure(new.getvalue()))
AssertionError: Failed doctest test for pybrain.tests.unittests.structure.networks.test_network_decomposition
File "/home/islamusma/pybrain/pybrain/tests/unittests/structure/networks/test_network_decomposition.py", line 0, in test_network_decomposition

---

File "/home/islamusma/pybrain/pybrain/tests/unittests/structure/networks/test_network_decomposition.py", line 10, in pybrain.tests.unittests.structure.networks.test_network_decomposition
Failed example:
tmp[2]
Expected:
array([ 1., 1., 1., 1.])
Got:
array([1., 1., 1., 1.])

File "/home/islamusma/pybrain/pybrain/tests/unittests/structure/networks/test_network_decomposition.py", line 21, in pybrain.tests.unittests.structure.networks.test_network_decomposition
Failed example:
n.getDecomposition()[0]
Expected:
array([ 1., 1., 1., 1.])
Got:
array([1., 1., 1., 1.])

File "/home/islamusma/pybrain/pybrain/tests/unittests/structure/networks/test_network_decomposition.py", line 26, in pybrain.tests.unittests.structure.networks.test_network_decomposition
Failed example:
n.getDecomposition()[0]
Expected:
array([ 0., 0., 0., 0.])
Got:
array([0., 0., 0., 0.])

======================================================================
FAIL: test_nested_ffn_and_rnn (pybrain.tests.unittests.structure.networks)
Doctest: pybrain.tests.unittests.structure.networks.test_nested_ffn_and_rnn

Traceback (most recent call last):
File "/usr/lib/python2.7/doctest.py", line 2226, in runTest
raise self.failureException(self.format_failure(new.getvalue()))
AssertionError: Failed doctest test for pybrain.tests.unittests.structure.networks.test_nested_ffn_and_rnn
File "/home/islamusma/pybrain/pybrain/tests/unittests/structure/networks/test_nested_ffn_and_rnn.py", line 0, in test_nested_ffn_and_rnn

---

File "/home/islamusma/pybrain/pybrain/tests/unittests/structure/networks/test_nested_ffn_and_rnn.py", line 41, in pybrain.tests.unittests.structure.networks.test_nested_ffn_and_rnn
Failed example:
gradientCheck(n)
Exception raised:
Traceback (most recent call last):
File "/usr/lib/python2.7/doctest.py", line 1315, in __run
compileflags, 1) in test.globs
File "<doctest pybrain.tests.unittests.structure.networks.test_nested_ffn_and_rnn[14]>", line 1, in
gradientCheck(n)
File "/home/islamusma/pybrain/pybrain/tests/helpers.py", line 53, in gradientCheck
res = b._checkGradient(d, True)
File "/home/islamusma/pybrain/pybrain/supervised/trainers/backprop.py", line 114, in _checkGradient
for seq in self.ds._provideSequences():
File "/home/islamusma/pybrain/pybrain/datasets/sequential.py", line 173, in _provideSequences
return iter(map(list, iter(self)))
File "/home/islamusma/pybrain/pybrain/datasets/sequential.py", line 169, in iter
yield self.getSequenceIterator(i)
File "/home/islamusma/pybrain/pybrain/datasets/sequential.py", line 63, in getSequenceIterator
return zip(*self.getSequence(index))
File "/home/islamusma/pybrain/pybrain/datasets/sequential.py", line 56, in getSequence
return [self._getSequenceField(index, l) for l in self.link]
File "/home/islamusma/pybrain/pybrain/datasets/sequential.py", line 49, in _getSequenceField
return self.getField(field)[seq[index]:seq[index + 1]]
TypeError: slice indices must be integers or None or have an index method

======================================================================
FAIL: test_recurrent_network (pybrain.tests.unittests.structure.networks)
Doctest: pybrain.tests.unittests.structure.networks.test_recurrent_network

Traceback (most recent call last):
File "/usr/lib/python2.7/doctest.py", line 2226, in runTest
raise self.failureException(self.format_failure(new.getvalue()))
AssertionError: Failed doctest test for pybrain.tests.unittests.structure.networks.test_recurrent_network
File "/home/islamusma/pybrain/pybrain/tests/unittests/structure/networks/test_recurrent_network.py", line 0, in test_recurrent_network

---

File "/home/islamusma/pybrain/pybrain/tests/unittests/structure/networks/test_recurrent_network.py", line 16, in pybrain.tests.unittests.structure.networks.test_recurrent_network
Failed example:
gradientCheck(n)
Exception raised:
Traceback (most recent call last):
File "/usr/lib/python2.7/doctest.py", line 1315, in __run
compileflags, 1) in test.globs
File "<doctest pybrain.tests.unittests.structure.networks.test_recurrent_network[3]>", line 1, in
gradientCheck(n)
File "/home/islamusma/pybrain/pybrain/tests/helpers.py", line 53, in gradientCheck
res = b._checkGradient(d, True)
File "/home/islamusma/pybrain/pybrain/supervised/trainers/backprop.py", line 114, in _checkGradient
for seq in self.ds._provideSequences():
File "/home/islamusma/pybrain/pybrain/datasets/sequential.py", line 173, in _provideSequences
return iter(map(list, iter(self)))
File "/home/islamusma/pybrain/pybrain/datasets/sequential.py", line 169, in iter
yield self.getSequenceIterator(i)
File "/home/islamusma/pybrain/pybrain/datasets/sequential.py", line 63, in getSequenceIterator
return zip(*self.getSequence(index))
File "/home/islamusma/pybrain/pybrain/datasets/sequential.py", line 56, in getSequence
return [self._getSequenceField(index, l) for l in self.link]
File "/home/islamusma/pybrain/pybrain/datasets/sequential.py", line 49, in _getSequenceField
return self.getField(field)[seq[index]:seq[index + 1]]
TypeError: slice indices must be integers or None or have an index method

======================================================================
FAIL: test_simple_lstm_network (pybrain.tests.unittests.structure.modules)
Doctest: pybrain.tests.unittests.structure.modules.test_simple_lstm_network

Traceback (most recent call last):
File "/usr/lib/python2.7/doctest.py", line 2226, in runTest
raise self.failureException(self.format_failure(new.getvalue()))
AssertionError: Failed doctest test for pybrain.tests.unittests.structure.modules.test_simple_lstm_network
File "/home/islamusma/pybrain/pybrain/tests/unittests/structure/modules/test_simple_lstm_network.py", line 0, in test_simple_lstm_network

---

File "/home/islamusma/pybrain/pybrain/tests/unittests/structure/modules/test_simple_lstm_network.py", line 17, in pybrain.tests.unittests.structure.modules.test_simple_lstm_network
Failed example:
gradientCheck(n)
Exception raised:
Traceback (most recent call last):
File "/usr/lib/python2.7/doctest.py", line 1315, in __run
compileflags, 1) in test.globs
File "<doctest pybrain.tests.unittests.structure.modules.test_simple_lstm_network[3]>", line 1, in
gradientCheck(n)
File "/home/islamusma/pybrain/pybrain/tests/helpers.py", line 53, in gradientCheck
res = b._checkGradient(d, True)
File "/home/islamusma/pybrain/pybrain/supervised/trainers/backprop.py", line 114, in _checkGradient
for seq in self.ds._provideSequences():
File "/home/islamusma/pybrain/pybrain/datasets/sequential.py", line 173, in _provideSequences
return iter(map(list, iter(self)))
File "/home/islamusma/pybrain/pybrain/datasets/sequential.py", line 169, in iter
yield self.getSequenceIterator(i)
File "/home/islamusma/pybrain/pybrain/datasets/sequential.py", line 63, in getSequenceIterator
return zip(*self.getSequence(index))
File "/home/islamusma/pybrain/pybrain/datasets/sequential.py", line 56, in getSequence
return [self._getSequenceField(index, l) for l in self.link]
File "/home/islamusma/pybrain/pybrain/datasets/sequential.py", line 49, in _getSequenceField
return self.getField(field)[seq[index]:seq[index + 1]]
TypeError: slice indices must be integers or None or have an index method

File "/home/islamusma/pybrain/pybrain/tests/unittests/structure/modules/test_simple_lstm_network.py", line 27, in pybrain.tests.unittests.structure.modules.test_simple_lstm_network
Failed example:
gradientCheck(net)
Exception raised:
Traceback (most recent call last):
File "/usr/lib/python2.7/doctest.py", line 1315, in __run
compileflags, 1) in test.globs
File "<doctest pybrain.tests.unittests.structure.modules.test_simple_lstm_network[10]>", line 1, in
gradientCheck(net)
File "/home/islamusma/pybrain/pybrain/tests/helpers.py", line 53, in gradientCheck
res = b._checkGradient(d, True)
File "/home/islamusma/pybrain/pybrain/supervised/trainers/backprop.py", line 114, in _checkGradient
for seq in self.ds._provideSequences():
File "/home/islamusma/pybrain/pybrain/datasets/sequential.py", line 173, in _provideSequences
return iter(map(list, iter(self)))
File "/home/islamusma/pybrain/pybrain/datasets/sequential.py", line 169, in iter
yield self.getSequenceIterator(i)
File "/home/islamusma/pybrain/pybrain/datasets/sequential.py", line 63, in getSequenceIterator
return zip(*self.getSequence(index))
File "/home/islamusma/pybrain/pybrain/datasets/sequential.py", line 56, in getSequence
return [self._getSequenceField(index, l) for l in self.link]
File "/home/islamusma/pybrain/pybrain/datasets/sequential.py", line 49, in _getSequenceField
return self.getField(field)[seq[index]:seq[index + 1]]
TypeError: slice indices must be integers or None or have an index method

======================================================================
FAIL: test_simple_mdlstm (pybrain.tests.unittests.structure.modules)
Doctest: pybrain.tests.unittests.structure.modules.test_simple_mdlstm

Traceback (most recent call last):
File "/usr/lib/python2.7/doctest.py", line 2226, in runTest
raise self.failureException(self.format_failure(new.getvalue()))
AssertionError: Failed doctest test for pybrain.tests.unittests.structure.modules.test_simple_mdlstm
File "/home/islamusma/pybrain/pybrain/tests/unittests/structure/modules/test_simple_mdlstm.py", line 0, in test_simple_mdlstm

---

File "/home/islamusma/pybrain/pybrain/tests/unittests/structure/modules/test_simple_mdlstm.py", line 17, in pybrain.tests.unittests.structure.modules.test_simple_mdlstm
Failed example:
gradientCheck(n)
Exception raised:
Traceback (most recent call last):
File "/usr/lib/python2.7/doctest.py", line 1315, in __run
compileflags, 1) in test.globs
File "<doctest pybrain.tests.unittests.structure.modules.test_simple_mdlstm[3]>", line 1, in
gradientCheck(n)
File "/home/islamusma/pybrain/pybrain/tests/helpers.py", line 53, in gradientCheck
res = b._checkGradient(d, True)
File "/home/islamusma/pybrain/pybrain/supervised/trainers/backprop.py", line 114, in _checkGradient
for seq in self.ds._provideSequences():
File "/home/islamusma/pybrain/pybrain/datasets/sequential.py", line 173, in _provideSequences
return iter(map(list, iter(self)))
File "/home/islamusma/pybrain/pybrain/datasets/sequential.py", line 169, in iter
yield self.getSequenceIterator(i)
File "/home/islamusma/pybrain/pybrain/datasets/sequential.py", line 63, in getSequenceIterator
return zip(*self.getSequence(index))
File "/home/islamusma/pybrain/pybrain/datasets/sequential.py", line 56, in getSequence
return [self._getSequenceField(index, l) for l in self.link]
File "/home/islamusma/pybrain/pybrain/datasets/sequential.py", line 49, in _getSequenceField
return self.getField(field)[seq[index]:seq[index + 1]]
TypeError: slice indices must be integers or None or have an index method

======================================================================
FAIL: test_samplelayer (pybrain.tests.unittests.structure.modules)
Doctest: pybrain.tests.unittests.structure.modules.test_samplelayer

Traceback (most recent call last):
File "/usr/lib/python2.7/doctest.py", line 2226, in runTest
raise self.failureException(self.format_failure(new.getvalue()))
AssertionError: Failed doctest test for pybrain.tests.unittests.structure.modules.test_samplelayer
File "/home/islamusma/pybrain/pybrain/tests/unittests/structure/modules/test_samplelayer.py", line 0, in test_samplelayer

---

File "/home/islamusma/pybrain/pybrain/tests/unittests/structure/modules/test_samplelayer.py", line 19, in pybrain.tests.unittests.structure.modules.test_samplelayer
Failed example:
output
Expected:
array([ 0., 1., 1.])
Got:
array([0., 1., 1.])

File "/home/islamusma/pybrain/pybrain/tests/unittests/structure/modules/test_samplelayer.py", line 23, in pybrain.tests.unittests.structure.modules.test_samplelayer
Failed example:
output
Expected:
array([ 0., 0., 1.])
Got:
array([0., 0., 1.])

File "/home/islamusma/pybrain/pybrain/tests/unittests/structure/modules/test_samplelayer.py", line 27, in pybrain.tests.unittests.structure.modules.test_samplelayer
Failed example:
output
Expected:
array([ 0., 1., 1.])
Got:
array([0., 1., 1.])

======================================================================
FAIL: test_convolutional_nets (pybrain.tests.unittests.structure.networks.custom)
Doctest: pybrain.tests.unittests.structure.networks.custom.test_convolutional_nets

Traceback (most recent call last):
File "/usr/lib/python2.7/doctest.py", line 2226, in runTest
raise self.failureException(self.format_failure(new.getvalue()))
AssertionError: Failed doctest test for pybrain.tests.unittests.structure.networks.custom.test_convolutional_nets
File "/home/islamusma/pybrain/pybrain/tests/unittests/structure/networks/custom/test_convolutional_nets.py", line 0, in test_convolutional_nets

---

File "/home/islamusma/pybrain/pybrain/tests/unittests/structure/networks/custom/test_convolutional_nets.py", line 22, in pybrain.tests.unittests.structure.networks.custom.test_convolutional_nets
Failed example:
print(inp[1:5,1:5])
Expected:
[[ 0. 0. 0. 0.]
[ 0. 0. 0. 0.]
[ 0. 1. 0. 0.]
[ 0. 1. 1. 0.]]
Got:
[[0. 0. 0. 0.]
[0. 0. 0. 0.]
[0. 1. 0. 0.]
[0. 1. 1. 0.]]

---

Ran 31 tests in 4.298s

FAILED (failures=10)

i would be grateful if you could help me to fix this problem , see you in the comments guys bye