def hash_func():
for x in self.removeempty():
varval = sorted(
utilities.splitting(x[1]).items(), reverse=True
) #(neg)values and (neg)variables have to be checked
for idx in range(len(varval)):
for _ in range(len(varval[idx][1])):
value = varval[idx][1].pop()
if idx == 0 or idx == 2: #idx == 0 -> variables; idx == 2 -> negvariables
try:
varval[idx + 1][1].add(self.boundvars[
utilities.ACTRVARIABLE +
value]) #add value based on a variable
except KeyError:
if x[0]:
yield tuple(
[
x[0],
tuple(
[varval[idx][0],
hash(value)])
]
) #get hash of variable if it is not bound
else:
yield tuple([varval[idx][0], hash(value)])
else:
if x[0]:
yield tuple([
x[0],
tuple([varval[idx][0],
hash(value)])
]) #values get their hash directly
else:
yield tuple([varval[idx][0], hash(value)])
def hash_func():
for x in self.removeempty():
varval = utilities.splitting(x[1])
temp_varval = {"values": set(), "negvalues": set()}
for key in ["variables", "negvariables"]:
if getattr(varval, key):
for value in getattr(varval, key):
try:
temp_varval[re.sub(
"variables", "values", key
)].add(
self.boundvars[utilities.ACTRVARIABLE +
value]
) #add (neg)value based on the (neg)variable
except KeyError:
if x[0]:
yield tuple(
[x[0], tuple([key, hash(value)])]
) #get hash of variable if it is not bound
else:
yield tuple([key, hash(value)])
for key in ["values", "negvalues"]:
if key == "values" and getattr(varval,
key) != self.__emptyvalue:
temp_varval[key].update(set([getattr(varval, key)]))
elif key == "negvalues":
temp_varval[key].update(set(getattr(varval, key)))
if temp_varval[key]:
for value in temp_varval[key]:
if x[0]:
yield tuple([
x[0], tuple([key, hash(value)])
]) #values get their hash directly
else:
yield tuple([key, hash(value)])
def hash_func():
for x in self.removeempty():
varval = utilities.splitting(x[1])
temp_varval = {"values": set(), "negvalues": set()}
for key in ["variables", "negvariables"]:
if getattr(varval, key):
for value in getattr(varval, key):
try:
temp_varval[re.sub("variables", "values", key)].add(self.boundvars[utilities.ACTRVARIABLE + value]) #add (neg)value based on the (neg)variable
except KeyError:
if x[0]:
yield tuple([x[0], tuple([key, hash(value)])]) #get hash of variable if it is not bound
else:
yield tuple([key, hash(value)])
for key in ["values", "negvalues"]:
if key == "values" and getattr(varval, key) != self.__emptyvalue:
temp_varval[key].update(set([getattr(varval, key)]))
elif key == "negvalues":
temp_varval[key].update(set(getattr(varval, key)))
if temp_varval[key]:
for value in temp_varval[key]:
if x[0]:
yield tuple([x[0], tuple([key, hash(value)])]) #values get their hash directly
else:
yield tuple([key, hash(value)])
def __setitem__(self, key, time):
if self.unrestricted_number_chunks and key not in self:
for x in key:
if utilities.splitting(x[1]).values and utilities.splitting(x[1]).values in self.unrestricted_number_chunks:
self.unrestricted_number_chunks.update([utilities.splitting(x[1]).values])
if self.restricted_number_chunks and key not in self:
for x in key:
if utilities.splitting(x[1]).values and (x[0], utilities.splitting(x[1]).values) in self.restricted_number_chunks:
self.restricted_number_chunks.update([(x[0], utilities.splitting(x[1]).values)])
if isinstance(key, chunks.Chunk):
if len(key) == 0:
if isinstance(time, np.ndarray):
#time is an array
self._data.update({key: time})
else:
try:
#time is a number
self._data.update({key: np.array([round(float(time), 4)])})
except TypeError:
#time is a sequence
self._data.update({key: np.array(time)})
for x in key.removeunused():
temp_chunk = chunks.Chunk(typename=getattr(key, "typename"), **{x[0]: x[1]})
if isinstance(time, np.ndarray):
#time is an array
self._data.setdefault(temp_chunk, {}).update({key: time})
else:
try:
#time is a number
self._data.setdefault(temp_chunk, {}).update({key: np.array([round(float(time), 4)])})
except TypeError:
#time is a sequence
self._data.setdefault(temp_chunk, {}).update({key: np.array(time)})
else:
raise utilities.ACTRError("Only chunks can be added as attributes to Declarative Memory; '%s' is not a chunk" % key)
def __setitem__(self, key, time):
if self.unrestricted_number_chunks and key not in self:
for x in key:
if utilities.splitting(x[1]).values and utilities.splitting(
x[1]).values in self.unrestricted_number_chunks:
self.unrestricted_number_chunks.update(
[utilities.splitting(x[1]).values])
if self.restricted_number_chunks and key not in self:
for x in key:
if utilities.splitting(
x[1]).values and (x[0], utilities.splitting(
x[1]).values) in self.restricted_number_chunks:
self.restricted_number_chunks.update([
(x[0], utilities.splitting(x[1]).values)
])
if isinstance(key, chunks.Chunk):
if isinstance(time, np.ndarray):
self._data[key] = time
else:
try:
self._data[key] = np.array([round(float(time), 4)])
except TypeError:
self._data[key] = np.array(time)
else:
raise utilities.ACTRError(
"Only chunks can be added as attributes to Declarative Memory; '%s' is not a chunk"
% key)
def __setitem__(self, key, time):
if self.unrestricted_number_chunks and key not in self:
for x in key:
if utilities.splitting(x[1]).values and utilities.splitting(x[1]).values in self.unrestricted_number_chunks:
self.unrestricted_number_chunks.update([utilities.splitting(x[1]).values])
if self.restricted_number_chunks and key not in self:
for x in key:
if utilities.splitting(x[1]).values and (x[0], utilities.splitting(x[1]).values) in self.restricted_number_chunks:
self.restricted_number_chunks.update([(x[0], utilities.splitting(x[1]).values)])
if isinstance(key, chunks.Chunk):
if isinstance(time, np.ndarray):
self._data[key] = time
else:
try:
self._data[key] = np.array([round(float(time), 4)])
except TypeError:
self._data[key] = np.array(time)
else:
raise utilities.ACTRError("Only chunks can be added as attributes to Declarative Memory; '%s' is not a chunk" % key)
def match(self, otherchunk, partialmatching, mismatch_penalty=1):
"""
Check partial match (given bound variables in boundvars).
"""
similarity = 0
if self == otherchunk:
return similarity
#below starts the check that self is proper part of otherchunk. __emptyvalue is ignored. 4 cases have to be checked separately, =x, ~=x, !1, ~!1. Also, variables and their values have to be saved in boundvars. When self is not part of otherchunk the loop adds to (dis)similarity.
for x in self:
try:
matching_val = getattr(otherchunk.actrchunk,
x[0] + "_") #get the value of attr
except AttributeError:
matching_val = None #if it is missing, it must be None
try:
if matching_val.typename == utilities.VARVAL:
matching_val = matching_val.values #the value might be written using _variablesvalues chunk; in that case, get it out
except AttributeError:
pass
varval = utilities.splitting(x[1], empty=False)
#checking variables, e.g., =x
if varval["variables"] != self.__emptyvalue and varval["variables"]:
#if matching_val == self.__emptyvalue:
# similarity -= 1 #these two lines would require that variables are matched only to existing values; uncomment if you want that
for var in varval["variables"]:
for each in self.boundvars.get("~=" + var, set()):
if each == matching_val:
if partialmatching:
similarity += utilities.get_similarity(
self._similarities, each, matching_val,
mismatch_penalty
) #False if otherchunk's value among the values of ~=x
else:
return False
try:
if self.boundvars["=" + var] != matching_val:
if partialmatching:
similarity += utilities.get_similarity(
self._similarities,
self.boundvars["=" + var], matching_val,
mismatch_penalty
) #False if =x does not match otherchunks' value
else:
return False
except KeyError:
self.boundvars.update({
"=" + var: matching_val
}) #if boundvars lack =x, update and proceed
#checking negvariables, e.g., ~=x
if varval["negvariables"] != self.__emptyvalue and varval[
"negvariables"]:
for var in varval["negvariables"]:
try:
if self.boundvars["=" + var] == matching_val:
if partialmatching:
similarity += utilities.get_similarity(
self._similarities,
self.boundvars["=" + var], matching_val,
mismatch_penalty
) #False if =x does not match otherchunks' value
else:
return False
except KeyError:
pass
self.boundvars.setdefault("~=" + var,
set([])).add(matching_val)
#checking values, e.g., 10 or !10
if varval["values"]:
val = varval["values"].pop()
if val != None and val != matching_val: #None is the misssing value of the attribute
if partialmatching:
similarity += utilities.get_similarity(
self._similarities, val, matching_val,
mismatch_penalty)
else:
return False
#checking negvalues, e.g., ~!10
if varval["negvalues"]:
for negval in varval["negvalues"]:
if negval == matching_val or (
negval in {self.__emptyvalue, 'None'}
and matching_val == self.__emptyvalue):
if partialmatching:
similarity += utilities.get_similarity(
self._similarities, negval, matching_val,
mismatch_penalty)
else:
return False
if partialmatching:
return similarity
else:
return True
def match(self, otherchunk, partialmatching, mismatch_penalty=1):
"""
Check partial match (given bound variables in boundvars).
"""
similarity = 0
if self == otherchunk:
return similarity
#below starts the check that self is proper part of otherchunk. __emptyvalue is ignored. 4 cases have to be checked separately, =x, ~=x, !1, ~!1. Also, variables and their values have to be saved in boundvars. When self is not part of otherchunk the loop adds to (dis)similarity.
for x in self:
try:
matching_val = getattr(otherchunk.actrchunk, x[0] + "_") #get the value of attr
except AttributeError:
matching_val = None #if it is missing, it must be None
if isinstance(matching_val, utilities.VarvalClass):
matching_val = matching_val.values #the value might be written using _variablesvalues namedtuple; in that case, get it out
varval = utilities.splitting(x[1])
#checking variables, e.g., =x
if varval.variables:
#if matching_val == self.__emptyvalue:
# similarity -= 1 #these two lines would require that variables are matched only to existing values; uncomment if you want that
var = varval.variables
for each in self.boundvars.get("~=" + var, set()):
if each == matching_val:
if partialmatching:
similarity += utilities.get_similarity(self._similarities, each, matching_val, mismatch_penalty) #False if otherchunk's value among the values of ~=x
else:
return False
try:
if self.boundvars["=" + var] != matching_val:
if partialmatching:
similarity += utilities.get_similarity(self._similarities, self.boundvars["=" + var], matching_val, mismatch_penalty) #False if =x does not match otherchunks' value
else:
return False
except KeyError:
self.boundvars.update({"=" + var: matching_val}) #if boundvars lack =x, update and proceed
#checking negvariables, e.g., ~=x
if varval.negvariables:
for var in varval.negvariables:
try:
if self.boundvars["=" + var] == matching_val:
if partialmatching:
similarity += utilities.get_similarity(self._similarities, self.boundvars["=" + var], matching_val, mismatch_penalty) #False if =x does not match otherchunks' value
else:
return False
except KeyError:
pass
self.boundvars.setdefault("~=" + var, set([])).add(matching_val)
#checking values, e.g., 10 or !10
if varval.values:
val = varval.values
if val != None and val != matching_val: #None is the missing value of the attribute
if partialmatching:
similarity += utilities.get_similarity(self._similarities, val, matching_val, mismatch_penalty)
else:
return False
#checking negvalues, e.g., ~!10
if varval.negvalues:
for negval in varval.negvalues:
if negval == matching_val or (negval in {self.__emptyvalue, 'None'} and matching_val == self.__emptyvalue):
if partialmatching:
similarity += utilities.get_similarity(self._similarities, negval, matching_val, mismatch_penalty)
else:
return False
if partialmatching:
return similarity
else:
return True
