def test_pleonastic_if(self):
self.assertTrue(load_scm(self.atomspace, "tests/nlp/anaphora/data/pleonastic_it/data_#1.scm"))
self.hobbsAgent.initilization(self.atomspace)
self.assertTrue(self.hobbsAgent.pleonastic_it(self.getWord('it')))
self.atomspace.clear()
self.assertTrue(load_scm(self.atomspace, "tests/nlp/anaphora/data/pleonastic_it/data_#2.scm"))
self.hobbsAgent.initilization(self.atomspace)
self.assertTrue(self.hobbsAgent.pleonastic_it(self.getWord('it')))
self.atomspace.clear()
self.assertTrue(load_scm(self.atomspace, "tests/nlp/anaphora/data/pleonastic_it/data_#3.scm"))
self.hobbsAgent.initilization(self.atomspace)
self.assertTrue(self.hobbsAgent.pleonastic_it(self.getWord('it')))
self.atomspace.clear()
self.assertTrue(load_scm(self.atomspace, "tests/nlp/anaphora/data/pleonastic_it/data_#4.scm"))
self.hobbsAgent.initilization(self.atomspace)
self.assertFalse(self.hobbsAgent.pleonastic_it(self.getWord('it')))
self.atomspace.clear()
self.assertTrue(load_scm(self.atomspace, "tests/nlp/anaphora/data/pleonastic_it/data_#5.scm"))
self.hobbsAgent.initilization(self.atomspace)
self.assertFalse(self.hobbsAgent.pleonastic_it(self.getWord('it')))
self.atomspace.clear()
def setUp(self):
self.atomspace = AtomSpace()
scheme.__init__(self.atomspace)
for scheme_file in scheme_preload:
load_scm(self.atomspace, scheme_file)
# Define several animals and something of a different type as well
scheme_animals = \
'''
(InheritanceLink (ConceptNode "Frog") (ConceptNode "animal"))
(InheritanceLink (ConceptNode "Zebra") (ConceptNode "animal"))
(InheritanceLink (ConceptNode "Deer") (ConceptNode "animal"))
(InheritanceLink (ConceptNode "Spaceship") (ConceptNode "machine"))
'''
scheme_eval_h(self.atomspace, scheme_animals)
# Define a graph search query
bind_link_query = \
'''
(BindLink
;; The variable to be grounded
(VariableNode "$var")
(ImplicationLink
;; The pattern to be grounded
(InheritanceLink
(VariableNode "$var")
(ConceptNode "animal")
)
;; The grounding to be returned.
(VariableNode "$var")
)
)
'''
self.bindlink_handle = scheme_eval_h(self.atomspace, bind_link_query)
def prep_predicates(atomspace):
for scheme_file in scheme_preload:
load_scm(atomspace, scheme_file)
# Define dogs relationships
scheme_dog_predicates = \
'''
(EvaluationLink
(PredicateNode "IsA")
(ListLink
(ConceptNode "dog")
(ConceptNode "mammal")
)
)
(EvaluationLink
(PredicateNode "IsA")
(ListLink
(ConceptNode "dog")
(ConceptNode "animal")
)
)
(EvaluationLink
(PredicateNode "Loves")
(ListLink
(ConceptNode "dog")
(ConceptNode "biscuits")
)
)
'''
scheme_eval_h(atomspace, scheme_dog_predicates)
dog = atomspace.add_node(types.ConceptNode, "dog")
isA = atomspace.add_node(types.PredicateNode, "IsA")
return dog, isA
def test_a_load_core_types(self):
# These relative paths are horridly ugly.
# There must be a better way ...
status = load_scm(self.space, "build/opencog/atomspace/core_types.scm")
self.assertTrue(status)
status = load_scm(self.space, "opencog/scm/utilities.scm")
self.assertTrue(status)
def initilization(self,atomspace):
self.atomspace = atomspace
self.currentPronounNode = atomspace.add_node(types.AnchorNode, 'CurrentPronoun', TruthValue(1.0, 100))
self.currentTarget = atomspace.add_node(types.AnchorNode, 'CurrentTarget', TruthValue(1.0, 100))
self.currentResult = atomspace.add_node(types.AnchorNode, 'CurrentResult', TruthValue(1.0, 100))
self.currentProposal = atomspace.add_node(types.AnchorNode, 'CurrentProposal', TruthValue(1.0, 100))
self.unresolvedReferences=atomspace.add_node(types.AnchorNode, 'Recent Unresolved references', TruthValue(1.0, 100))
self.resolvedReferences=atomspace.add_node(types.AnchorNode, 'Resolved references', TruthValue(1.0, 100))
self.currentResolutionNode=atomspace.add_node(types.AnchorNode, 'CurrentResolution', TruthValue(1.0, 100))
self.currentResolutionLink_proposal=self.atomspace.add_link(types.ListLink, [self.currentResolutionNode, self.currentProposal], TruthValue(1.0, 100))
self.currentResolutionLink_pronoun=self.atomspace.add_link(types.ListLink, [self.currentResolutionNode, self.currentPronounNode], TruthValue(1.0, 100))
self.pronounNumber = -1
data=["opencog/nlp/anaphora/rules/getChildren.scm",
"opencog/nlp/anaphora/rules/getNumberNode_WordInstanceNode.scm",
"opencog/nlp/anaphora/rules/getNumberNode_ParseNode.scm",
"opencog/nlp/anaphora/rules/connectRootsToParseNodes.scm",
"opencog/nlp/anaphora/rules/getPronouns.scm",
"opencog/nlp/anaphora/rules/propose.scm",
"opencog/nlp/anaphora/rules/getResults.scm",
"opencog/nlp/anaphora/rules/getAllNumberNodes.scm",
"opencog/nlp/anaphora/rules/getAllParseNodes.scm",
"opencog/nlp/anaphora/rules/getConjunction.scm",
"opencog/nlp/anaphora/rules/getParseNode.scm",
"opencog/nlp/anaphora/rules/filtersGenerator.scm",
"opencog/nlp/anaphora/rules/filters/filter-#1.scm",
"opencog/nlp/anaphora/rules/filters/filter-#2.scm",
"opencog/nlp/anaphora/rules/filters/filter-#3.scm",
"opencog/nlp/anaphora/rules/filters/filter-#4.scm",
"opencog/nlp/anaphora/rules/filters/filter-#5.scm",
"opencog/nlp/anaphora/rules/filters/filter-#6.scm",
"opencog/nlp/anaphora/rules/filters/filter-#7.scm",
"opencog/nlp/anaphora/rules/filters/filter-#8.scm",
"opencog/nlp/anaphora/rules/filters/filter-#9.scm",
"opencog/nlp/anaphora/rules/filters/filter-#10.scm",
"opencog/nlp/anaphora/rules/filters/filter-#11.scm",
"opencog/nlp/anaphora/rules/filters/filter-#12.scm",
"opencog/nlp/anaphora/rules/filters/filter-#13.scm",
"opencog/nlp/anaphora/rules/filters/filter-#14.scm",
"opencog/nlp/anaphora/rules/filters/filter-#15.scm",
"opencog/nlp/anaphora/rules/filters/filter-#16.scm",
"opencog/nlp/anaphora/rules/filters/filter-#17.scm",
"opencog/nlp/anaphora/rules/filters/filter-#18.scm",
"opencog/nlp/anaphora/rules/filters/filter-#19.scm",
]
self.numOfFilters=len(data)
for item in data:
load_scm(atomspace, item)
self.getAllNumberNodes()
self.pronouns = self.getPronouns()
self.roots = self.getRoots()
def filter_18():
print("Testing filter #18...")
self.assertTrue(load_scm(self.atomspace, "tests/nlp/anaphora/data/propose/filter-#18/data_#1.scm"))
self.hobbsAgent.initilization(self.atomspace)
self.assertFalse(self.hobbsAgent.propose(self.getWord('antecedent'),18))
self.atomspace.clear()
self.assertTrue(load_scm(self.atomspace, "tests/nlp/anaphora/data/propose/filter-#18/data_#2.scm"))
self.hobbsAgent.initilization(self.atomspace)
self.assertTrue(self.hobbsAgent.propose(self.getWord('antecedent'),18))
self.atomspace.clear()
def filter_12():
print("Testing filter #12...")
self.assertTrue(load_scm(self.atomspace, "tests/python/test_anaphora/data/propose/filter-#12/data_#1.scm"))
self.hobbsAgent.initilization(self.atomspace)
self.assertFalse(self.hobbsAgent.propose(self.getWord('antecedent',types.ParseNode),12))
self.atomspace.clear()
self.assertTrue(load_scm(self.atomspace, "tests/python/test_anaphora/data/propose/filter-#12/data_#2.scm"))
self.hobbsAgent.initilization(self.atomspace)
self.assertTrue(self.hobbsAgent.propose(self.getWord('antecedent'),12))
self.atomspace.clear()
def set_up_atomspace():
"""
Initializes a new atomspace, loads the core types and utitities.
:return: an atomspace
"""
coreTypes = "opencog/atomspace/core_types.scm"
utilities = "opencog/scm/utilities.scm"
newly_created_atomspace = AtomSpace()
__init__(newly_created_atomspace)
for item in [coreTypes, utilities]:
load_scm(newly_created_atomspace, item)
return newly_created_atomspace
def prep_bind(atomspace):
scheme.__init__(atomspace)
for scheme_file in scheme_preload:
load_scm(atomspace, scheme_file)
# Define several animals and something of a different type as well
scheme_animals = """
(InheritanceLink (ConceptNode "Frog") (ConceptNode "animal"))
(InheritanceLink (ConceptNode "Zebra") (ConceptNode "animal"))
(InheritanceLink (ConceptNode "Deer") (ConceptNode "animal"))
(InheritanceLink (ConceptNode "Spaceship") (ConceptNode "machine"))
"""
scheme_eval_h(atomspace, scheme_animals)
def test_a_load_core_types(self):
# These relative paths are horridly ugly.
# There must be a better way ...
# status = load_scm(self.space, "/usr/local/share/opencog/scm/core_types.scm")
status = load_scm(self.space, "scm/core_types.scm")
self.assertTrue(status)
status = load_scm(self.space, "./build/opencog/nlp/types/nlp_types.scm")
self.assertTrue(status)
status = load_scm(self.space, "scm/utilities.scm")
self.assertTrue(status)
def prep_bind(atomspace):
for scheme_file in scheme_preload:
load_scm(atomspace, scheme_file)
scheme_eval(atomspace, "(use-modules (opencog))")
scheme_eval(atomspace, "(use-modules (opencog query))")
# Define several animals and something of a different type as well
scheme_animals = \
'''
(InheritanceLink (ConceptNode "Frog") (ConceptNode "animal"))
(InheritanceLink (ConceptNode "Zebra") (ConceptNode "animal"))
(InheritanceLink (ConceptNode "Deer") (ConceptNode "animal"))
(InheritanceLink (ConceptNode "Spaceship") (ConceptNode "machine"))
'''
scheme_eval_h(atomspace, scheme_animals)
def setUp(self):
self.atomspace= AtomSpace()
scheme_eval(self.atomspace, "(add-to-load-path \"/usr/local/share/opencog/scm\")")
scheme_eval(self.atomspace, "(use-modules (opencog))")
scheme_eval(self.atomspace, "(use-modules (opencog atom-types))")
scheme_eval(self.atomspace, "(use-modules (opencog query))")
data=["opencog/scm/config.scm",
"opencog/scm/core_types.scm",
"opencog/scm/apply.scm",
"opencog/scm/file-utils.scm",
"opencog/scm/utilities.scm",
"opencog/scm/av-tv.scm",
"opencog/nlp/scm/type-definitions.scm",
"opencog/nlp/scm/config.scm",
"opencog/nlp/scm/file-utils.scm",
"opencog/nlp/scm/nlp-utils.scm",
"opencog/nlp/scm/disjunct-list.scm",
"opencog/nlp/scm/processing-utils.scm",
]
for item in data:
status=load_scm(self.atomspace, item)
# print "load status=", status, " item=", item
self.hobbsAgent=HobbsAgent()
def setUp(self):
self.atomspace= AtomSpace()
__init__(self.atomspace)
data=["opencog/scm/config.scm",
"opencog/scm/core_types.scm",
"spacetime/spacetime_types.scm",
"opencog/nlp/types/nlp_types.scm",
"opencog/dynamics/attention/attention_types.scm",
"opencog/embodiment/embodiment_types.scm",
"opencog/reasoning/pln/pln_types.scm",
"opencog/scm/apply.scm",
"opencog/scm/file-utils.scm",
"opencog/scm/persistence.scm",
#"opencog/scm/repl-shell.scm",
"opencog/scm/utilities.scm",
"opencog/scm/av-tv.scm",
"opencog/nlp/scm/type-definitions.scm",
"opencog/nlp/scm/config.scm",
"opencog/nlp/scm/file-utils.scm",
"opencog/nlp/scm/nlp-utils.scm",
"opencog/nlp/scm/disjunct-list.scm",
"opencog/nlp/scm/processing-utils.scm",
]
for item in data:
status=load_scm(self.atomspace, item)
self.hobbsAgent=HobbsAgent()
def filter_9():
print("Testing filter #9...")
self.assertTrue(load_scm(self.atomspace, "tests/python/test_anaphora/data/propose/filter-#9/data_#1.scm"))
self.hobbsAgent.initilization(self.atomspace)
self.assertFalse(self.hobbsAgent.propose(self.getWord('antecedent'),9))
self.atomspace.clear()
self.assertTrue(load_scm(self.atomspace, "tests/python/test_anaphora/data/propose/filter-#9/data_#2.scm"))
self.hobbsAgent.initilization(self.atomspace)
self.assertTrue(self.hobbsAgent.propose(self.getWord('antecedent'),9))
self.atomspace.clear()
self.assertTrue(load_scm(self.atomspace, "tests/python/test_anaphora/data/propose/filter-#9/data_#3.scm"))
self.hobbsAgent.initilization(self.atomspace)
self.assertTrue(self.hobbsAgent.propose(self.getWord('antecedent'),9))
self.atomspace.clear()
def __init__(self):
self.a = AtomSpace()
self.nodes = {}
# Initialize Scheme
scheme_preload = [
"opencog/atomspace/core_types.scm",
"opencog/scm/utilities.scm" ]
scheme.__init__(self.a)
for scheme_file in scheme_preload:
load_scm(self.a, scheme_file)
initialize_opencog(self.a)
#add 3 nodes with integer values
self.nodes[0] = self.a.add(types.ConceptNode, "0")
self.nodes[1] = self.a.add(types.ConceptNode, "1")
self.nodes[2] = self.a.add(types.ConceptNode, "2")
def test_getWords(self):
'''
Testing the getWords function
'''
self.assertTrue(load_scm(self.atomspace, "tests/nlp/anaphora/data/getWords.scm"))
self.hobbsAgent.initilization(self.atomspace)
self.assertTrue(self.compare(['a','b','c','d','e','f','g','h','j'],self.hobbsAgent.getWords()))
self.atomspace.clear()
def test_b_load_file(self):
status = load_scm(self.space, "../../../tests/cython/guile/basic_unify.scm")
self.assertTrue(status)
a1 = self.space.add_node(types.ConceptNode, "hello")
self.assertTrue(a1)
# Make sure the truth value is what's in the SCM file.
expected = TruthValue(0.5, 800)
self.assertEquals(a1.tv, expected)
def filter_12():
print("Testing filter #12...")
self.assertTrue(
load_scm(
self.atomspace,
"tests/nlp/anaphora/data/propose/filter-#12/data_#1.scm"))
self.hobbsAgent.initilization(self.atomspace)
self.assertFalse(
self.hobbsAgent.propose(
self.getWord('antecedent', types.ParseNode), 12))
self.atomspace.clear()
self.assertTrue(
load_scm(
self.atomspace,
"tests/nlp/anaphora/data/propose/filter-#12/data_#2.scm"))
self.hobbsAgent.initilization(self.atomspace)
self.assertTrue(
self.hobbsAgent.propose(self.getWord('antecedent'), 12))
self.atomspace.clear()
def test_b_load_file(self):
status = load_scm(self.space,
"../../../tests/cython/guile/basic_unify.scm")
self.assertTrue(status)
a1 = self.space.add_node(types.ConceptNode, "hello")
self.assertTrue(a1)
# Make sure the truth value is what's in the SCM file.
expected = TruthValue(0.5, 800)
self.assertEquals(a1.tv, expected)
def test_getWords(self):
'''
Testing the getWords function
'''
self.assertTrue(
load_scm(self.atomspace, "tests/nlp/anaphora/data/getWords.scm"))
self.hobbsAgent.initilization(self.atomspace)
self.assertTrue(
self.compare(['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'j'],
self.hobbsAgent.getWords()))
self.atomspace.clear()
def test_bfs(self):
'''
Testing the bfs function
'''
self.hobbsAgent.initilization(self.atomspace)
self.assertTrue(load_scm(self.atomspace, "tests/python/test_anaphora/data/bfs.scm"))
self.hobbsAgent.run(self.atomspace)
self.assertTrue(self.compare(['a','b','c','d','e','f','g'],self.hobbsAgent.bfs(self.getWord('a'))))
self.atomspace.clear()
def filter_1():
print("Testing filter #1...")
self.assertTrue(load_scm(self.atomspace, "tests/nlp/anaphora/data/propose/filter-#1/data_#1.scm"))
self.hobbsAgent.initilization(self.atomspace)
self.assertTrue(self.hobbsAgent.propose(self.getWord('antecedent')))
self.atomspace.clear()
self.assertTrue(load_scm(self.atomspace, "tests/nlp/anaphora/data/propose/filter-#1/data_#2.scm"))
self.hobbsAgent.initilization(self.atomspace)
self.assertFalse(self.hobbsAgent.propose(self.getWord('antecedent')))
self.atomspace.clear()
self.assertTrue(load_scm(self.atomspace, "tests/nlp/anaphora/data/propose/filter-#1/data_#3.scm"))
self.hobbsAgent.initilization(self.atomspace)
self.assertTrue(self.hobbsAgent.propose(self.getWord('antecedent')))
self.atomspace.clear()
self.assertTrue(load_scm(self.atomspace, "tests/nlp/anaphora/data/propose/filter-#1/data_#4.scm"))
self.hobbsAgent.initilization(self.atomspace)
self.assertTrue(self.hobbsAgent.propose(self.getWord('antecedent')))
self.atomspace.clear()
self.assertTrue(load_scm(self.atomspace, "tests/nlp/anaphora/data/propose/filter-#1/data_#5.scm"))
self.hobbsAgent.initilization(self.atomspace)
self.assertTrue(self.hobbsAgent.propose(self.getWord('antecedent')))
self.atomspace.clear()
self.assertTrue(load_scm(self.atomspace, "tests/nlp/anaphora/data/propose/filter-#1/data_#6.scm"))
self.hobbsAgent.initilization(self.atomspace)
self.assertTrue(self.hobbsAgent.propose(self.getWord('antecedent')))
self.atomspace.clear()
def test_unifier(self):
status = load_scm(self.space, "opencog/scm/opencog.scm")
self.assertTrue(status)
status = load_scm(self.space, "opencog/scm/opencog/query.scm")
self.assertTrue(status)
scheme_eval(self.space, "(use-modules (opencog query))")
h = scheme_eval_h(self.space, "cap-deduce")
self.assertTrue(h)
print "\nThe question is:"
print h
question = Atom(h, self.space)
print question
h = scheme_eval_h(self.space, "(cog-bind cap-deduce)")
self.assertTrue(h)
print h
answer = Atom(h, self.space)
print "\nThe answer is:"
print answer
self.assertEqual(answer.type, types.SetLink)
self.assertEqual(answer.arity, 2)
def filter_18():
print("Testing filter #18...")
self.assertTrue(
load_scm(
self.atomspace,
"tests/python/test_anaphora/data/propose/filter-#18/data_#1.scm"
))
self.hobbsAgent.initilization(self.atomspace)
self.assertFalse(
self.hobbsAgent.propose(self.getWord('antecedent'), 18))
self.atomspace.clear()
self.assertTrue(
load_scm(
self.atomspace,
"tests/python/test_anaphora/data/propose/filter-#18/data_#2.scm"
))
self.hobbsAgent.initilization(self.atomspace)
self.assertTrue(
self.hobbsAgent.propose(self.getWord('antecedent'), 18))
self.atomspace.clear()
def test_bfs(self):
'''
Testing the bfs function
'''
self.hobbsAgent.initilization(self.atomspace)
self.assertTrue(
load_scm(self.atomspace,
"tests/python/test_anaphora/data/bfs.scm"))
self.hobbsAgent.run(self.atomspace)
self.assertTrue(
self.compare(['a', 'b', 'c', 'd', 'e', 'f', 'g'],
self.hobbsAgent.bfs(self.getWord('a'))))
self.atomspace.clear()
def test_pleonastic_if(self):
self.assertTrue(
load_scm(self.atomspace,
"tests/nlp/anaphora/data/pleonastic_it/data_#1.scm"))
self.hobbsAgent.initilization(self.atomspace)
self.assertTrue(self.hobbsAgent.pleonastic_it(self.getWord('it')))
self.atomspace.clear()
self.assertTrue(
load_scm(self.atomspace,
"tests/nlp/anaphora/data/pleonastic_it/data_#2.scm"))
self.hobbsAgent.initilization(self.atomspace)
self.assertTrue(self.hobbsAgent.pleonastic_it(self.getWord('it')))
self.atomspace.clear()
self.assertTrue(
load_scm(self.atomspace,
"tests/nlp/anaphora/data/pleonastic_it/data_#3.scm"))
self.hobbsAgent.initilization(self.atomspace)
self.assertTrue(self.hobbsAgent.pleonastic_it(self.getWord('it')))
self.atomspace.clear()
self.assertTrue(
load_scm(self.atomspace,
"tests/nlp/anaphora/data/pleonastic_it/data_#4.scm"))
self.hobbsAgent.initilization(self.atomspace)
self.assertFalse(self.hobbsAgent.pleonastic_it(self.getWord('it')))
self.atomspace.clear()
self.assertTrue(
load_scm(self.atomspace,
"tests/nlp/anaphora/data/pleonastic_it/data_#5.scm"))
self.hobbsAgent.initilization(self.atomspace)
self.assertFalse(self.hobbsAgent.pleonastic_it(self.getWord('it')))
self.atomspace.clear()
def load_subset_rels_from_scheme(self, filepath=None):
"""
Populates the atomspace with subset mining results saved to file from
previous run of subset mining.
:param filepath:
:return:
"""
if not filepath:
filepath = SUBSET_SCHEME_FILE
print "Loading subset relationships from {0}".format(filepath)
start = time.clock()
if not load_scm(self.atomspace, filepath):
print "*** Error loading scheme file: {0}".format(filepath)
else:
print "Loaded subset relationships in {0} seconds".format(
int(time.clock() - start))
def test_unifier(self):
status = load_scm(self.space, "opencog/scm/opencog/query.scm")
self.assertTrue(status)
scheme_eval(self.space, "(use-modules (opencog query))")
question = scheme_eval_h(self.space, "find-animals")
self.assertTrue(question)
print "\nThe question is:"
print question
answer = scheme_eval_h(self.space, "(cog-bind find-animals)")
self.assertTrue(answer)
print "\nThe answer is:"
print answer
self.assertEqual(answer.type, types.SetLink)
self.assertEqual(answer.arity, 3)
def test_unifier(self):
status = load_scm(self.space, "opencog/scm/opencog/query.scm")
self.assertTrue(status)
scheme_eval(self.space, "(use-modules (opencog query))")
question = scheme_eval_h(self.space, "find-animals")
self.assertTrue(question)
print "\nThe question is:"
print question
answer = scheme_eval_h(self.space, "(cog-bind find-animals)")
self.assertTrue(answer)
print "\nThe answer is:"
print answer
self.assertEqual(answer.type, types.SetLink)
self.assertEqual(answer.arity, 3)
def load_subset_rels_from_scheme(self,filepath=None):
"""
Populates the atomspace with subset mining results saved to file from
previous run of subset mining.
:param filepath:
:return:
"""
if not filepath:
filepath = SUBSET_SCHEME_FILE
print "Loading subset relationships from {0}".format(filepath)
start = time.clock()
if not load_scm(self.atomspace,filepath):
print "*** Error loading scheme file: {0}".format(filepath)
else:
print "Loaded subset relationships in {0} seconds".format(
int(time.clock()-start)
)
def load_scheme_files(atomspace,files,label=''):
"""
Load list of scheme files into the atomspace.
:param atomspace:
:param files:
:param label:
:return: time elapsed in seconds
"""
print "Loading scheme files - {}".format(label)
start = time.clock()
for file in files:
print " Loading scheme file: " + file
if not load_scm(atomspace, file):
print "*** Error loading scheme file: " + file + " ***"
scheme_load_time = int(time.clock() - start)
print 'Scheme file loading completed in {} seconds'.format(scheme_load_time)
return scheme_load_time
def load_scheme_files(atomspace, files, label=""):
"""
Load list of scheme files into the atomspace.
:param atomspace:
:param files:
:param label:
:return: time elapsed in seconds
"""
print "Loading scheme files - {}".format(label)
start = time.clock()
for file in files:
print " Loading scheme file: " + file
if not load_scm(atomspace, file):
print "*** Error loading scheme file: " + file + " ***"
scheme_load_time = int(time.clock() - start)
print "Scheme file loading completed in {} seconds".format(scheme_load_time)
return scheme_load_time
def test_conjunctions(self):
self.assertTrue(load_scm(self.atomspace, "tests/nlp/anaphora/data/conjunction.scm"))
self.hobbsAgent.initilization(self.atomspace)
self.assertFalse(self.hobbsAgent.pleonastic_it(self.getWord('waitresses')))
self.atomspace.clear()
def load_file_into_atomspace(self, fullPath, atomSpace):
load_scm(atomSpace, fullPath)
def load_file_into_atomspace(self, fullPath, atomSpace):
if os.path.exists(fullPath):
load_scm(atomSpace, fullPath)
else:
print "Path '" + fullPath + "' does not exist."
# Syllogism files
syllogisms = [
# "abductive-syllogism.scm",
# "conditional-syllogism.scm",
# "disjunctive-syllogism.scm",
# "syllogism-boat.scm",
"syllogism-canadian.scm"
]
syllogism_path = "opencog/python/pln/examples/relex2logic/syllogisms/"
for syllogism in syllogisms:
# sets up atomspace where inputs, rules, and outputs can be retrieved
configuration_space = set_up_atomspace()
load_scm(configuration_space, syllogism_path + syllogism)
# sets up atomspace that is used for the actual inference
inference_space = set_up_atomspace()
for atom in get_predicate_arguments(configuration_space, "inputs"):
transfer_atom(inference_space, atom)
if print_starting_contents:
print('AtomSpace starting contents:')
inference_space.print_list()
syllogism_chainer = create_chainer(
inference_space,
get_predicate_arguments(configuration_space, "rules"))
outputs_produced = 0
def test_conjunctions(self):
self.assertTrue(load_scm(self.atomspace, "tests/nlp/anaphora/data/conjunction.scm"))
self.hobbsAgent.initilization(self.atomspace)
self.assertFalse(self.hobbsAgent.pleonastic_it(self.getWord('waitresses')))
self.atomspace.clear()
def initilization(self, atomspace):
self.atomspace = atomspace
self.currentPronounNode = atomspace.add_node(types.AnchorNode,
'CurrentPronoun',
TruthValue(1.0, 100))
self.currentTarget = atomspace.add_node(types.AnchorNode,
'CurrentTarget',
TruthValue(1.0, 100))
self.currentResult = atomspace.add_node(types.AnchorNode,
'CurrentResult',
TruthValue(1.0, 100))
self.currentProposal = atomspace.add_node(types.AnchorNode,
'CurrentProposal',
TruthValue(1.0, 100))
self.unresolvedReferences = atomspace.add_node(
types.AnchorNode, 'Recent Unresolved references',
TruthValue(1.0, 100))
self.resolvedReferences = atomspace.add_node(types.AnchorNode,
'Resolved references',
TruthValue(1.0, 100))
self.currentResolutionNode = atomspace.add_node(
types.AnchorNode, 'CurrentResolution', TruthValue(1.0, 100))
self.currentResolutionLink_proposal = self.atomspace.add_link(
types.ListLink, [self.currentResolutionNode, self.currentProposal],
TruthValue(1.0, 100))
self.currentResolutionLink_pronoun = self.atomspace.add_link(
types.ListLink,
[self.currentResolutionNode, self.currentPronounNode],
TruthValue(1.0, 100))
self.pronounNumber = -1
data = [
"opencog/nlp/anaphora/rules/getChildren.scm",
"opencog/nlp/anaphora/rules/getNumberNode_WordInstanceNode.scm",
"opencog/nlp/anaphora/rules/getNumberNode_ParseNode.scm",
"opencog/nlp/anaphora/rules/connectRootsToParseNodes.scm",
"opencog/nlp/anaphora/rules/getPronouns.scm",
"opencog/nlp/anaphora/rules/propose.scm",
"opencog/nlp/anaphora/rules/getResults.scm",
"opencog/nlp/anaphora/rules/getAllNumberNodes.scm",
"opencog/nlp/anaphora/rules/getAllParseNodes.scm",
"opencog/nlp/anaphora/rules/getConjunction.scm",
"opencog/nlp/anaphora/rules/getParseNode.scm",
"opencog/nlp/anaphora/rules/filtersGenerator.scm",
"opencog/nlp/anaphora/rules/filters/filter-#1.scm",
"opencog/nlp/anaphora/rules/filters/filter-#2.scm",
"opencog/nlp/anaphora/rules/filters/filter-#3.scm",
"opencog/nlp/anaphora/rules/filters/filter-#4.scm",
"opencog/nlp/anaphora/rules/filters/filter-#5.scm",
"opencog/nlp/anaphora/rules/filters/filter-#6.scm",
"opencog/nlp/anaphora/rules/filters/filter-#7.scm",
"opencog/nlp/anaphora/rules/filters/filter-#8.scm",
"opencog/nlp/anaphora/rules/filters/filter-#9.scm",
"opencog/nlp/anaphora/rules/filters/filter-#10.scm",
"opencog/nlp/anaphora/rules/filters/filter-#11.scm",
"opencog/nlp/anaphora/rules/filters/filter-#12.scm",
"opencog/nlp/anaphora/rules/filters/filter-#13.scm",
"opencog/nlp/anaphora/rules/filters/filter-#14.scm",
"opencog/nlp/anaphora/rules/filters/filter-#15.scm",
"opencog/nlp/anaphora/rules/filters/filter-#16.scm",
"opencog/nlp/anaphora/rules/filters/filter-#17.scm",
"opencog/nlp/anaphora/rules/filters/filter-#18.scm",
"opencog/nlp/anaphora/rules/filters/filter-#19.scm",
]
self.numOfFilters = len(data)
for item in data:
load_scm(atomspace, item)
self.getAllNumberNodes()
self.pronouns = self.getPronouns()
self.roots = self.getRoots()
def load_file_into_atomspace(self, fullPath, atomSpace):
load_scm(atomSpace, fullPath)
from opencog.utilities import initialize_opencog, finalize_opencog
from opencog.bindlink import execute_atom
import opencog.scheme_wrapper as scheme
from opencog.scheme_wrapper import load_scm, scheme_eval
from opencog.type_constructors import *
atomspace = AtomSpace()
# Initialize Scheme
scheme_preload = [
"opencog/atomspace/core_types.scm",
"opencog/scm/utilities.scm"
]
scheme.__init__(atomspace)
for scheme_file in scheme_preload:
load_scm(atomspace, scheme_file)
initialize_opencog(atomspace, "utilities_test.conf")
executed = False
def add_link(atom1, atom2):
global executed
link = ListLink(atom1, atom2)
executed = True
return link
execute_code = \
'''
(cog-execute!
(ExecutionOutputLink
from opencog.atomspace import AtomSpace, types
from opencog.utilities import initialize_opencog, finalize_opencog
from opencog.bindlink import execute_atom
import opencog.scheme_wrapper as scheme
from opencog.scheme_wrapper import load_scm, scheme_eval
from opencog.type_constructors import *
atomspace = AtomSpace()
# Initialize Scheme
scheme_preload = [
"opencog/atoms/proto/core_types.scm", "opencog/scm/utilities.scm"
]
for scheme_file in scheme_preload:
load_scm(atomspace, scheme_file)
initialize_opencog(atomspace)
executed = False
def add_link(atom1, atom2):
global executed
link = ListLink(atom1, atom2)
executed = True
return link
# Fix up the module for cog-execute. Most Python users won't be using cog-execute
# since there is now a Cython call execute_atom which does the same thing, so we
__author__ = 'Sebastian Ruder'
num_steps = 100
print_starting_contents = True
coreTypes = "opencog/scm/core_types.scm"
utilities = "opencog/scm/utilities.scm"
timeLinks = "opencog/spacetime/spacetime_types.scm"
data = "tests/python/test_pln/scm_disabled/temporal/temporalToyExample.scm"
# data = "opencog/python/pln_old/examples/temporal/temporal-r2l-input.scm"
# initialize atomspace
atomspace = AtomSpace()
__init__(atomspace)
for item in [coreTypes, utilities, timeLinks, data]:
load_scm(atomspace, item)
# initialize chainer
chainer = Chainer(atomspace,
stimulateAtoms=False,
allow_output_with_variables=True,
delete_temporary_variables=True)
for rule in create_temporal_rules(chainer):
chainer.add_rule(rule)
if print_starting_contents:
print('AtomSpace starting contents:')
atomspace.print_list()
outputs_produced = 0
# Syllogism files
syllogisms = [
# "abductive-syllogism.scm",
# "conditional-syllogism.scm",
# "disjunctive-syllogism.scm",
# "syllogism-boat.scm",
"syllogism-canadian.scm"
]
syllogism_path = "opencog/python/pln/examples/relex2logic/syllogisms/"
for syllogism in syllogisms:
# sets up atomspace where inputs, rules, and outputs can be retrieved
configuration_space = set_up_atomspace()
load_scm(configuration_space, syllogism_path + syllogism)
# sets up atomspace that is used for the actual inference
inference_space = set_up_atomspace()
for atom in get_predicate_arguments(configuration_space, "inputs"):
transfer_atom(inference_space, atom)
if print_starting_contents:
print('AtomSpace starting contents:')
inference_space.print_list()
syllogism_chainer = create_chainer(
inference_space,
get_predicate_arguments(configuration_space, "rules"))
outputs_produced = 0
def initilization(self,atomspace):
'''
Initializes necessary variables. Loads rules.
'''
self.atomspace = atomspace
self.PleonasticItNode=atomspace.add_node(types.AnchorNode, 'Pleonastic-it', TruthValue(1.0, 100))
self.currentPronounNode = atomspace.add_node(types.AnchorNode, 'CurrentPronoun', TruthValue(1.0, 100))
self.currentTarget = atomspace.add_node(types.AnchorNode, 'CurrentTarget', TruthValue(1.0, 100))
self.currentResult = atomspace.add_node(types.AnchorNode, 'CurrentResult', TruthValue(1.0, 100))
self.currentProposal = atomspace.add_node(types.AnchorNode, 'CurrentProposal', TruthValue(1.0, 100))
self.unresolvedReferences=atomspace.add_node(types.AnchorNode, 'Recent Unresolved references', TruthValue(1.0, 100))
self.resolvedReferences=atomspace.add_node(types.AnchorNode, 'Resolved references', TruthValue(1.0, 100))
self.currentResolutionNode=atomspace.add_node(types.AnchorNode, 'CurrentResolution', TruthValue(1.0, 100))
self.currentResolutionLink_proposal=self.atomspace.add_link(types.ListLink, [self.currentResolutionNode, self.currentProposal], TruthValue(1.0, 100))
self.currentResolutionLink_pronoun=self.atomspace.add_link(types.ListLink, [self.currentResolutionNode, self.currentPronounNode], TruthValue(1.0, 100))
self.pronounNumber = -1
data=["opencog/nlp/anaphora/rules/getChildren.scm",
"opencog/nlp/anaphora/rules/getNumberNode_WordInstanceNode.scm",
"opencog/nlp/anaphora/rules/getNumberNode_ParseNode.scm",
"opencog/nlp/anaphora/rules/connectRootsToParseNodes.scm",
"opencog/nlp/anaphora/rules/getAllNumberNodes.scm",
"opencog/nlp/anaphora/rules/getAllParseNodes.scm",
"opencog/nlp/anaphora/rules/getConjunction.scm",
"opencog/nlp/anaphora/rules/getParseNode.scm",
"opencog/nlp/anaphora/rules/getWords.scm",
"opencog/nlp/anaphora/rules/isIt.scm",
"opencog/nlp/anaphora/rules/filters/filter-#1.scm",
"opencog/nlp/anaphora/rules/filters/filter-#2.scm",
"opencog/nlp/anaphora/rules/filters/filter-#3.scm",
"opencog/nlp/anaphora/rules/filters/filter-#4.scm",
"opencog/nlp/anaphora/rules/filters/filter-#5.scm",
"opencog/nlp/anaphora/rules/filters/filter-#6.scm",
"opencog/nlp/anaphora/rules/filters/filter-#7.scm",
"opencog/nlp/anaphora/rules/filters/filter-#8.scm",
"opencog/nlp/anaphora/rules/filters/filter-#9.scm",
"opencog/nlp/anaphora/rules/filters/filter-#10.scm",
"opencog/nlp/anaphora/rules/filters/filter-#11.scm",
"opencog/nlp/anaphora/rules/filters/filter-#12.scm",
"opencog/nlp/anaphora/rules/filters/filter-#13.scm",
"opencog/nlp/anaphora/rules/filters/filter-#14.scm",
"opencog/nlp/anaphora/rules/filters/filter-#15.scm",
"opencog/nlp/anaphora/rules/filters/filter-#16.scm",
"opencog/nlp/anaphora/rules/filters/filter-#17.scm",
"opencog/nlp/anaphora/rules/filters/filter-#18.scm",
"opencog/nlp/anaphora/rules/pre-process/pre-process-#1.scm",
"opencog/nlp/anaphora/rules/pre-process/pre-process-#2.scm",
"opencog/nlp/anaphora/rules/pre-process/pre-process-#3.scm",
"opencog/nlp/anaphora/rules/pleonastic-it/pleonastic-it-#1.scm",
"opencog/nlp/anaphora/rules/pleonastic-it/pleonastic-it-#2.scm",
"opencog/nlp/anaphora/rules/pleonastic-it/pleonastic-it-#3.scm",
]
self.numOfFilters=18
self.numOfPrePatterns=3
self.numOfPleonasticItPatterns=3
for item in data:
load_scm(atomspace, item)
self.getAllNumberNodes()
self.pronouns=self.getTargets(self.getWords())
self.roots = self.getRoots()
def initilization(self,atomspace):
'''
Initializes necessary variables. Loads rules.
'''
self.atomspace = atomspace
self.PleonasticItNode=atomspace.add_node(types.AnchorNode, 'Pleonastic-it', TruthValue(1.0, 100))
self.currentPronounNode = atomspace.add_node(types.AnchorNode, 'CurrentPronoun', TruthValue(1.0, 100))
self.currentTarget = atomspace.add_node(types.AnchorNode, 'CurrentTarget', TruthValue(1.0, 100))
self.currentResult = atomspace.add_node(types.AnchorNode, 'CurrentResult', TruthValue(1.0, 100))
self.currentProposal = atomspace.add_node(types.AnchorNode, 'CurrentProposal', TruthValue(1.0, 100))
self.unresolvedReferences=atomspace.add_node(types.AnchorNode, 'Recent Unresolved references', TruthValue(1.0, 100))
self.resolvedReferences=atomspace.add_node(types.AnchorNode, 'Resolved references', TruthValue(1.0, 100))
self.currentResolutionNode=atomspace.add_node(types.AnchorNode, 'CurrentResolution', TruthValue(1.0, 100))
self.currentResolutionLink_proposal=self.atomspace.add_link(types.ListLink, [self.currentResolutionNode, self.currentProposal], TruthValue(1.0, 100))
self.currentResolutionLink_pronoun=self.atomspace.add_link(types.ListLink, [self.currentResolutionNode, self.currentPronounNode], TruthValue(1.0, 100))
self.pronounNumber = -1
data=["opencog/nlp/anaphora/rules/getChildren.scm",
"opencog/nlp/anaphora/rules/getNumberNode_WordInstanceNode.scm",
"opencog/nlp/anaphora/rules/getNumberNode_ParseNode.scm",
"opencog/nlp/anaphora/rules/connectRootsToParseNodes.scm",
"opencog/nlp/anaphora/rules/getAllNumberNodes.scm",
"opencog/nlp/anaphora/rules/getAllParseNodes.scm",
"opencog/nlp/anaphora/rules/getConjunction.scm",
"opencog/nlp/anaphora/rules/getParseNode.scm",
"opencog/nlp/anaphora/rules/getWords.scm",
"opencog/nlp/anaphora/rules/isIt.scm",
"opencog/nlp/anaphora/rules/filters/filter-#1.scm",
"opencog/nlp/anaphora/rules/filters/filter-#2.scm",
"opencog/nlp/anaphora/rules/filters/filter-#3.scm",
"opencog/nlp/anaphora/rules/filters/filter-#4.scm",
"opencog/nlp/anaphora/rules/filters/filter-#5.scm",
"opencog/nlp/anaphora/rules/filters/filter-#6.scm",
"opencog/nlp/anaphora/rules/filters/filter-#7.scm",
"opencog/nlp/anaphora/rules/filters/filter-#8.scm",
"opencog/nlp/anaphora/rules/filters/filter-#9.scm",
"opencog/nlp/anaphora/rules/filters/filter-#10.scm",
"opencog/nlp/anaphora/rules/filters/filter-#11.scm",
"opencog/nlp/anaphora/rules/filters/filter-#12.scm",
"opencog/nlp/anaphora/rules/filters/filter-#13.scm",
"opencog/nlp/anaphora/rules/filters/filter-#14.scm",
"opencog/nlp/anaphora/rules/filters/filter-#15.scm",
"opencog/nlp/anaphora/rules/filters/filter-#16.scm",
"opencog/nlp/anaphora/rules/filters/filter-#17.scm",
"opencog/nlp/anaphora/rules/filters/filter-#18.scm",
"opencog/nlp/anaphora/rules/pre-process/pre-process-#1.scm",
"opencog/nlp/anaphora/rules/pre-process/pre-process-#2.scm",
"opencog/nlp/anaphora/rules/pre-process/pre-process-#3.scm",
"opencog/nlp/anaphora/rules/pleonastic-it/pleonastic-it-#1.scm",
"opencog/nlp/anaphora/rules/pleonastic-it/pleonastic-it-#2.scm",
"opencog/nlp/anaphora/rules/pleonastic-it/pleonastic-it-#3.scm",
]
self.numOfFilters=20
self.numOfPrePatterns=3
self.numOfPleonasticItPatterns=3
for item in data:
load_scm(atomspace, item)
self.getAllNumberNodes()
self.pronouns=self.getTargets(self.getWords())
self.roots = self.getRoots()
