def agg_Avg(a, group, bindings):
c = 0
s = 0
dt = None
for x in group:
try:
e = _eval(a.vars, x)
n = numeric(e)
if dt == None:
dt = e.datatype
else:
dt = type_promotion(dt, e.datatype)
if type(s) == float and type(n) == Decimal:
s += float(n)
elif type(n) == float and type(s) == Decimal:
s = float(s) + n
else:
s += n
c += 1
except:
return # error in aggregate => no binding
if c == 0:
bindings[a.res] = Literal(0)
if dt == XSD.float or dt == XSD.double:
bindings[a.res] = Literal(s / c)
else:
bindings[a.res] = Literal(Decimal(s) / Decimal(c))
def agg_Avg(a, group, bindings):
c = 0
s = 0
dt = None
for x in group:
try:
e = _eval(a.vars, x)
n = numeric(e)
if dt == None:
dt = e.datatype
else:
dt = type_promotion(dt, e.datatype)
if type(s) == float and type(n) == Decimal:
s += float(n)
elif type(n) == float and type(s) == Decimal:
s = float(s) + n
else:
s += n
c += 1
except:
return # error in aggregate => no binding
if c == 0:
bindings[a.res] = Literal(0)
if dt == XSD.float or dt == XSD.double:
bindings[a.res] = Literal(s / c)
else:
bindings[a.res] = Literal(Decimal(s) / Decimal(c))
def update(self, row, aggregator):
try:
value = _eval(self.expr, row)
dt = self.datatype
if dt is None:
dt = value.datatype
else:
dt = type_promotion(dt, value.datatype)
self.datatype = dt
self.value = sum(type_safe_numbers(self.value, numeric(value)))
if self.distinct:
self.seen.add(value)
except NotBoundError:
# skip UNDEF
pass
def agg_Max(a, group, bindings):
m = None
for x in group:
try:
v = numeric(_eval(a.vars, x))
if m is None:
m = v
else:
m = num_max(v, m)
except:
return # error in aggregate => no binding
if m is not None:
bindings[a.res] = Literal(m)
def agg_Max(a, group, bindings):
m = None
for x in group:
try:
v = numeric(_eval(a.vars, x))
if m is None:
m = v
else:
m = num_max(v, m)
except:
return # error in aggregate => no binding
if m is not None:
bindings[a.res] = Literal(m)
def agg_Max(a, group, bindings):
m = None
for v in _eval_rows(a.vars, group, None): # DISTINCT makes no difference for MAX
try:
v = numeric(v)
if m is None:
m = v
else:
m = num_max(v, m)
except:
return # error in aggregate => no binding
if m is not None:
bindings[a.res] = Literal(m)
def agg_Min(a, group, bindings):
m = None
for v in _eval_rows(a.vars, group, None): # DISTINCT makes no difference for MIN
try:
v = numeric(v)
if m is None:
m = v
else:
m = num_min(v, m)
except:
continue # try other values
if m is not None:
bindings[a.res] = Literal(m)
def update(self, row, aggregator):
try:
value = _eval(self.expr, row)
dt = self.datatype
if dt is None:
dt = value.datatype
else:
dt = type_promotion(dt, value.datatype)
self.datatype = dt
self.value = sum(type_safe_numbers(self.value, numeric(value)))
if self.distinct:
self.seen.add(value)
except NotBoundError:
# skip UNDEF
pass
def update(self, row, aggregator):
try:
value = _eval(self.expr, row)
dt = self.datatype
self.sum = sum(type_safe_numbers(self.sum, numeric(value)))
if dt is None:
dt = value.datatype
else:
dt = type_promotion(dt, value.datatype)
self.datatype = dt
if self.distinct:
self.seen.add(value)
self.counter += 1
# skip UNDEF or BNode => SPARQLTypeError
except NotBoundError:
pass
except SPARQLTypeError:
pass
def update(self, row, aggregator):
try:
value = _eval(self.expr, row)
dt = self.datatype
self.sum = sum(type_safe_numbers(self.sum, numeric(value)))
if dt is None:
dt = value.datatype
else:
dt = type_promotion(dt, value.datatype)
self.datatype = dt
if self.distinct:
self.seen.add(value)
self.counter += 1
# skip UNDEF or BNode => SPARQLTypeError
except NotBoundError:
pass
except SPARQLTypeError:
pass
def agg_Sum(a, group, bindings):
c = 0
dt = None
for e in _eval_rows(a.vars, group, a.distinct):
try:
n = numeric(e)
if dt == None:
dt = e.datatype
else:
dt = type_promotion(dt, e.datatype)
if type(c) == float and type(n) == Decimal:
c += float(n)
elif type(n) == float and type(c) == Decimal:
c = float(c) + n
else:
c += n
except:
pass # simply dont count
bindings[a.res] = Literal(c, datatype=dt)