def make_hierarchical_entailment():
""" Creates two Nile intents that entail each other with group hierarchy """
sentence_entities = {"id": "stn", "actions": []}
hypothesis_entities = {"id": "hyp", "actions": []}
sentence_entities, hypothesis_entities = sample_hierarchical_endpoints(
sentence_entities, hypothesis_entities)
option = randint(0, 7)
if option == 0:
sentence_entities, hypothesis_entities = sample_entailing_chaining(
sentence_entities, hypothesis_entities)
elif option == 1:
sentence_entities, hypothesis_entities = sample_entailing_rules(
sentence_entities, hypothesis_entities)
elif option == 2:
sentence_entities, hypothesis_entities = sample_entailing_qos(
sentence_entities,
hypothesis_entities,
stn_action='set',
hyp_action='unset')
if option == 3:
sentence_entities, hypothesis_entities = sample_entailing_chaining(
sentence_entities, hypothesis_entities)
sentence_entities, hypothesis_entities = sample_entailing_rules(
sentence_entities, hypothesis_entities)
elif option == 4:
sentence_entities, hypothesis_entities = sample_entailing_rules(
sentence_entities, hypothesis_entities)
sentence_entities, hypothesis_entities = sample_entailing_qos(
sentence_entities,
hypothesis_entities,
stn_action='set',
hyp_action='unset')
elif option == 5:
sentence_entities, hypothesis_entities = sample_entailing_chaining(
sentence_entities, hypothesis_entities)
sentence_entities, hypothesis_entities = sample_entailing_qos(
sentence_entities,
hypothesis_entities,
stn_action='set',
hyp_action='unset')
else:
sentence_entities, hypothesis_entities = sample_entailing_chaining(
sentence_entities, hypothesis_entities)
sentence_entities, hypothesis_entities = sample_entailing_rules(
sentence_entities, hypothesis_entities)
sentence_entities, hypothesis_entities = sample_entailing_qos(
sentence_entities,
hypothesis_entities,
stn_action='set',
hyp_action='unset')
entailment = {
'type': 'hierarchical',
'sentence': interpreter.translate(sentence_entities),
'hypothesis': interpreter.translate(hypothesis_entities),
'contradiction': 0
}
return entailment
def make_mixed_intent():
""" Creates a Nile intent with mixed intents"""
sentence_entities = {"id": "stn", "operations": []}
hypothesis_entities = {"id": "hyp", "operations": []}
sentence_entities, _ = sample_entailing_endpoints(sentence_entities,
hypothesis_entities)
option = randint(0, 7)
if option == 0:
sentence_entities, _ = sample_entailing_chaining(
sentence_entities, hypothesis_entities)
elif option == 1:
sentence_entities, _ = sample_entailing_rules(sentence_entities,
hypothesis_entities)
elif option == 2:
sentence_entities, _ = sample_entailing_qos(sentence_entities,
hypothesis_entities,
stn_action='set',
hyp_action='unset')
if option == 3:
sentence_entities, _ = sample_entailing_chaining(
sentence_entities, hypothesis_entities)
sentence_entities, _ = sample_entailing_rules(sentence_entities,
hypothesis_entities)
elif option == 4:
sentence_entities, _ = sample_entailing_rules(sentence_entities,
hypothesis_entities)
sentence_entities, _ = sample_entailing_qos(sentence_entities,
hypothesis_entities,
stn_action='set',
hyp_action='unset')
elif option == 5:
sentence_entities, _ = sample_entailing_chaining(
sentence_entities, hypothesis_entities)
sentence_entities, _ = sample_entailing_qos(sentence_entities,
hypothesis_entities,
stn_action='set',
hyp_action='unset')
else:
sentence_entities, _ = sample_entailing_chaining(
sentence_entities, hypothesis_entities)
sentence_entities, _ = sample_entailing_rules(sentence_entities,
hypothesis_entities)
sentence_entities, _ = sample_entailing_qos(sentence_entities,
hypothesis_entities,
stn_action='set',
hyp_action='unset')
intent = {
'type': 'mixed',
'nile': builder.build(sentence_entities),
}
return intent
def make_hierarchical_entailment():
""" Creates two Nile intents that entail each other with group hierarchy """
sentence_entities = {"id": "stn", "operations": []}
hypothesis_entities = {"id": "hyp", "operations": []}
sentence_entities, hypothesis_entities = sample_hierarchical_endpoints(
sentence_entities, hypothesis_entities)
option = randint(0, 2)
if option == 0:
sentence_entities, hypothesis_entities = sample_entailing_chaining(
sentence_entities, hypothesis_entities)
elif option == 1:
sentence_entities, hypothesis_entities = sample_entailing_rules(
sentence_entities, hypothesis_entities)
elif option == 2:
sentence_entities, hypothesis_entities = sample_entailing_qos(
sentence_entities,
hypothesis_entities,
stn_action='set',
hyp_action='unset')
entailment = {
'type': 'hierarchical',
'sentence': builder.build(sentence_entities),
'hypothesis': builder.build(hypothesis_entities),
'conflict': 0
}
return entailment
def make_negation_entailment():
""" Creates two Nile intents that entail each other with negation """
sentence_entities = {"id": "stn", "actions": []}
hypothesis_entities = {"id": "hyp", "actions": []}
sentence_entities, hypothesis_entities = sample_contradicting_endpoints(
sentence_entities, hypothesis_entities)
# middleboxes
sentence_entities, hypothesis_entities = sample_entailing_chaining(
sentence_entities, hypothesis_entities)
# allow/block
sentence_entities, hypothesis_entities = sample_entailing_rules(
sentence_entities, hypothesis_entities)
# set/unset
sentence_entities, hypothesis_entities = sample_entailing_qos(
sentence_entities,
hypothesis_entities,
stn_action='set',
hyp_action='unset')
entailment = {
'type': 'negation',
'sentence': interpreter.translate(sentence_entities),
'hypothesis': interpreter.translate(hypothesis_entities),
'contradiction': 0
}
return entailment
def make_time_entailment():
""" Creates two Nile intents that entail each other with time constraints"""
sentence_entities = {"id": "stn", "actions": []}
hypothesis_entities = {"id": "hyp", "actions": []}
sentence_entities, hypothesis_entities = sample_contradicting_endpoints(
sentence_entities, hypothesis_entities)
# middleboxes
if randint(1, 10) % 2 == 0:
sentence_entities, hypothesis_entities = sample_entailing_chaining(
sentence_entities, hypothesis_entities)
else:
sentence_entities, hypothesis_entities = sample_contradicting_chaining(
sentence_entities, hypothesis_entities)
# allow/block
if randint(1, 10) % 2 == 0:
sentence_entities, hypothesis_entities = sample_entailing_rules(
sentence_entities, hypothesis_entities)
else:
sentence_entities, hypothesis_entities = sample_contradicting_rules(
sentence_entities, hypothesis_entities)
# start/end
sentence_entities, hypothesis_entities = sample_entailing_timeranges(
sentence_entities, hypothesis_entities)
entailment = {
'type': 'time',
'sentence': interpreter.translate(sentence_entities),
'hypothesis': interpreter.translate(hypothesis_entities),
'contradiction': 0
}
return entailment
def make_time_entailment():
""" Creates two Nile intents that entail each other with time constraints"""
sentence_entities = {"id": "stn", "operations": []}
hypothesis_entities = {"id": "hyp", "operations": []}
sentence_entities, hypothesis_entities = sample_conflicting_endpoints(
sentence_entities, hypothesis_entities)
option = randint(0, 2)
if option == 0:
# middleboxes
if randint(1, 10) % 2 == 0:
sentence_entities, hypothesis_entities = sample_entailing_chaining(
sentence_entities, hypothesis_entities)
else:
sentence_entities, hypothesis_entities = sample_conflicting_chaining(
sentence_entities, hypothesis_entities)
elif option == 1:
# allow/block
if randint(1, 10) % 2 == 0:
sentence_entities, hypothesis_entities = sample_entailing_rules(
sentence_entities, hypothesis_entities)
else:
sentence_entities, hypothesis_entities = sample_conflicting_rules(
sentence_entities, hypothesis_entities)
elif option == 2:
# allow/block
if randint(1, 10) % 2 == 0:
sentence_entities, hypothesis_entities = sample_entailing_qos(
sentence_entities, hypothesis_entities)
else:
sentence_entities, hypothesis_entities = sample_conflicting_qos(
sentence_entities, hypothesis_entities)
# start/end
sentence_entities, hypothesis_entities = sample_entailing_timeranges(
sentence_entities, hypothesis_entities)
entailment = {
'type': 'time',
'sentence': builder.build(sentence_entities),
'hypothesis': builder.build(hypothesis_entities),
'conflict': 0
}
return entailment
def make_negation_entailment():
""" Creates two Nile intents that entail each other with negation """
sentence_entities = {"id": "stn", "operations": []}
hypothesis_entities = {"id": "hyp", "operations": []}
sentence_entities, hypothesis_entities = sample_conflicting_endpoints(
sentence_entities, hypothesis_entities)
option = randint(0, 2)
if option == 0:
# add/remove
sentence_entities, hypothesis_entities = sample_entailing_chaining(
sentence_entities, hypothesis_entities)
elif option == 1:
# allow/block
sentence_entities, hypothesis_entities = sample_entailing_rules(
sentence_entities, hypothesis_entities)
elif option == 2:
# set/unset
sentence_entities, hypothesis_entities = sample_entailing_qos(
sentence_entities,
hypothesis_entities,
stn_action='set',
hyp_action='unset')
if 'allow' in sentence_entities[
'operations'] or 'block' in sentence_entities['operations']:
if randint(0, 2) % 2 == 0:
sentence_entities['operations'].append('add')
sentence_entities['middleboxes'] = ['firewall']
if randint(0, 2) % 2 == 0:
hypothesis_entities['operations'].append('add')
hypothesis_entities['middleboxes'] = ['firewall']
entailment = {
'type': 'negation',
'sentence': builder.build(sentence_entities),
'hypothesis': builder.build(hypothesis_entities),
'conflict': 0
}
return entailment
def make_path_entailment():
""" Creates two Nile intents that entail each other due to non coference"""
sentence_entities = {"id": "stn", "actions": []}
hypothesis_entities = {"id": "hyp", "actions": []}
sentence_entities, hypothesis_entities = sample_entailing_endpoints(
sentence_entities, hypothesis_entities)
if randint(0, 10) % 2 == 0:
sentence_entities, hypothesis_entities = sample_entailing_chaining(
sentence_entities, hypothesis_entities)
else:
sentence_entities, hypothesis_entities = sample_contradicting_chaining(
sentence_entities, hypothesis_entities)
if randint(0, 10) % 2 == 0:
sentence_entities, hypothesis_entities = sample_entailing_rules(
sentence_entities, hypothesis_entities)
else:
sentence_entities, hypothesis_entities = sample_contradicting_rules(
sentence_entities, hypothesis_entities)
if randint(0, 10) % 2 == 0:
sentence_entities, hypothesis_entities = sample_entailing_qos(
sentence_entities, hypothesis_entities)
else:
sentence_entities, hypothesis_entities = sample_contradicting_qos(
sentence_entities, hypothesis_entities)
if randint(0, 10) % 2 == 0:
sentence_entities, hypothesis_entities = sample_entailing_timeranges(
sentence_entities, hypothesis_entities)
entailment = {
'type': 'path',
'sentence': interpreter.translate(sentence_entities),
'hypothesis': interpreter.translate(hypothesis_entities),
'contradiction': 0
}
return entailment