def agg_Count(a, group, bindings):
c = 0
for x in group:
try:
if a.vars != '*':
_eval(a.vars, x)
c += 1
except:
pass # simply dont count
bindings[a.res] = Literal(c)
def agg_Count(a, group, bindings):
c = 0
for x in group:
try:
if a.vars != '*':
_eval(a.vars, x)
c += 1
except:
return # error in aggregate => no binding
# pass # simply dont count
bindings[a.res] = Literal(c)
def agg_Count(a, group, bindings):
c = 0
for x in group:
try:
if a.vars != '*':
_eval(a.vars, x)
c += 1
except:
return # error in aggregate => no binding
# pass # simply dont count
bindings[a.res] = Literal(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 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_Sum(a, group, bindings):
c = 0
for x in group:
try:
c += numeric(_eval(a.vars, x))
except:
pass # simply dont count
bindings[a.res] = Literal(c)
def evalGroup(ctx, group):
"""
http://www.w3.org/TR/sparql11-query/#defn_algGroup
"""
p = evalPart(ctx, group.p)
if not group.expr:
return {1: p}
else:
res = collections.defaultdict(list)
for c in p:
k = tuple(_eval(e, c) for e in group.expr)
res[k].append(c)
return res
def agg_Avg(a, group, bindings):
c = 0
s = 0
for x in group:
try:
s += numeric(_eval(a.vars, x))
c += 1
except:
pass # simply dont count
if c == 0:
bindings[a.res] = Literal(0)
else:
bindings[a.res] = Literal(Decimal(s) / Decimal(c))
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 = max(v, m)
except:
pass # simply dont count
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 evalGroup(ctx, group):
"""
http://www.w3.org/TR/sparql11-query/#defn_algGroup
"""
p = evalPart(ctx, group.p)
if not group.expr:
return {1: p}
else:
res = collections.defaultdict(list)
for c in p:
k = tuple(_eval(e, c) for e in group.expr)
res[k].append(c)
return res
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 evalExtend(ctx, extend):
# TODO: Deal with dict returned from evalPart from GROUP BY
res = []
for c in evalPart(ctx, extend.p):
try:
e = _eval(extend.expr, c)
if isinstance(e, SPARQLError):
raise e
res.append(c.merge({extend.var: e}))
except SPARQLError:
res.append(c)
return res
def evalExtend(ctx, extend):
# TODO: Deal with dict returned from evalPart from GROUP BY
res = []
for c in evalPart(ctx, extend.p):
try:
e = _eval(extend.expr, c)
if isinstance(e, SPARQLError):
raise e
res.append(c.merge({extend.var: e}))
except SPARQLError:
res.append(c)
return res
def agg_Sum(a, group, bindings):
c = 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(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)
def agg_Sum(a, group, bindings):
c = 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(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)
def agg_Sample(a, group, bindings):
try:
bindings[a.res] = _eval(a.vars, iter(group).next())
except StopIteration:
pass # no res
def _eval_rows(expr, group):
for row in group:
try:
yield _eval(expr, row)
except:
pass
def agg_Sample(a, group, bindings):
try:
bindings[a.res] = _eval(a.vars, iter(group).next())
except StopIteration:
pass # no res
def _eval_rows(expr, group):
for row in group:
try:
yield _eval(expr, row)
except:
pass
