def apply(self, inputs):
# This assumes `inputs` are already broadcast
out = head(inputs)
extent = out.dims.extent
inputs = tail(inputs)
for i in range(extent):
out[i] = eval(self.subterm, index(inputs, i))
return out
def apply(self, inputs):
# This assumes `inputs` are already broadcast
out = head(inputs)
extent = out.dims.extent
inputs = tail(inputs)
for i in range(extent):
out[i] = eval(self.subterm, index(inputs, i))
return out
def ckernel_element_wrapper(p):
data = p[0]
out = head(data.inputs)
inputs = tail(data.inputs)
out[0] = eval(data.term, inputs)
def index(inputs, i):
hd = head(inputs)
tl = tail(inputs)
return StaticTuple(hd[i], index(tl, i))
def lookup(args, n):
"""Look up the nth argument"""
return lookup(tail(args), n.pred)
def eval_subterms(subterms, inputs):
"""Evaluate the given `subterms` (code) with the given `inputs` (data)"""
hd = eval(head(subterms), inputs)
tl = eval_subterms(tail(subterms), inputs)
return StaticTuple(hd, tl)
def ckernel_element_wrapper(p):
data = p[0]
out = head(data.inputs)
inputs = tail(data.inputs)
out[0] = eval(data.term, inputs)
def index(inputs, i):
hd = head(inputs)
tl = tail(inputs)
return StaticTuple(hd[i], index(tl, i))
def lookup(args, n):
"""Look up the nth argument"""
return lookup(tail(args), n.pred)
def eval_subterms(subterms, inputs):
"""Evaluate the given `subterms` (code) with the given `inputs` (data)"""
hd = eval(head(subterms), inputs)
tl = eval_subterms(tail(subterms), inputs)
return StaticTuple(hd, tl)