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rangeobj.py
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rangeobj.py
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"""
Implementation of the range object for fixed-size integers.
"""
import operator
from numba import prange
from numba.core import types, cgutils, errors
from numba.cpython.listobj import ListIterInstance
from numba.np.arrayobj import make_array
from numba.core.imputils import (lower_builtin, lower_cast,
iterator_impl, impl_ret_untracked)
from numba.core.typing import signature
from numba.core.extending import intrinsic, overload, overload_attribute, register_jitable
from numba.parfors.parfor import internal_prange
def make_range_iterator(typ):
"""
Return the Structure representation of the given *typ* (an
instance of types.RangeIteratorType).
"""
return cgutils.create_struct_proxy(typ)
def make_range_impl(int_type, range_state_type, range_iter_type):
RangeState = cgutils.create_struct_proxy(range_state_type)
@lower_builtin(range, int_type)
@lower_builtin(prange, int_type)
@lower_builtin(internal_prange, int_type)
def range1_impl(context, builder, sig, args):
"""
range(stop: int) -> range object
"""
[stop] = args
state = RangeState(context, builder)
state.start = context.get_constant(int_type, 0)
state.stop = stop
state.step = context.get_constant(int_type, 1)
return impl_ret_untracked(context,
builder,
range_state_type,
state._getvalue())
@lower_builtin(range, int_type, int_type)
@lower_builtin(prange, int_type, int_type)
@lower_builtin(internal_prange, int_type, int_type)
def range2_impl(context, builder, sig, args):
"""
range(start: int, stop: int) -> range object
"""
start, stop = args
state = RangeState(context, builder)
state.start = start
state.stop = stop
state.step = context.get_constant(int_type, 1)
return impl_ret_untracked(context,
builder,
range_state_type,
state._getvalue())
@lower_builtin(range, int_type, int_type, int_type)
@lower_builtin(prange, int_type, int_type, int_type)
@lower_builtin(internal_prange, int_type, int_type, int_type)
def range3_impl(context, builder, sig, args):
"""
range(start: int, stop: int, step: int) -> range object
"""
[start, stop, step] = args
state = RangeState(context, builder)
state.start = start
state.stop = stop
state.step = step
return impl_ret_untracked(context,
builder,
range_state_type,
state._getvalue())
@lower_builtin(len, range_state_type)
def range_len(context, builder, sig, args):
"""
len(range)
"""
(value,) = args
state = RangeState(context, builder, value)
res = RangeIter.from_range_state(context, builder, state)
return impl_ret_untracked(context, builder, int_type, builder.load(res.count))
@lower_builtin('getiter', range_state_type)
def getiter_range32_impl(context, builder, sig, args):
"""
range.__iter__
"""
(value,) = args
state = RangeState(context, builder, value)
res = RangeIter.from_range_state(context, builder, state)._getvalue()
return impl_ret_untracked(context, builder, range_iter_type, res)
@iterator_impl(range_state_type, range_iter_type)
class RangeIter(make_range_iterator(range_iter_type)):
@classmethod
def from_range_state(cls, context, builder, state):
"""
Create a RangeIter initialized from the given RangeState *state*.
"""
self = cls(context, builder)
start = state.start
stop = state.stop
step = state.step
startptr = cgutils.alloca_once(builder, start.type)
builder.store(start, startptr)
countptr = cgutils.alloca_once(builder, start.type)
self.iter = startptr
self.stop = stop
self.step = step
self.count = countptr
diff = builder.sub(stop, start)
zero = context.get_constant(int_type, 0)
one = context.get_constant(int_type, 1)
pos_diff = builder.icmp_signed('>', diff, zero)
pos_step = builder.icmp_signed('>', step, zero)
sign_differs = builder.xor(pos_diff, pos_step)
zero_step = builder.icmp_unsigned('==', step, zero)
with cgutils.if_unlikely(builder, zero_step):
# step shouldn't be zero
context.call_conv.return_user_exc(builder, ValueError,
("range() arg 3 must not be zero",))
with builder.if_else(sign_differs) as (then, orelse):
with then:
builder.store(zero, self.count)
with orelse:
rem = builder.srem(diff, step)
rem = builder.select(pos_diff, rem, builder.neg(rem))
uneven = builder.icmp_signed('>', rem, zero)
newcount = builder.add(builder.sdiv(diff, step),
builder.select(uneven, one, zero))
builder.store(newcount, self.count)
return self
def iternext(self, context, builder, result):
zero = context.get_constant(int_type, 0)
countptr = self.count
count = builder.load(countptr)
is_valid = builder.icmp_signed('>', count, zero)
result.set_valid(is_valid)
with builder.if_then(is_valid):
value = builder.load(self.iter)
result.yield_(value)
one = context.get_constant(int_type, 1)
builder.store(builder.sub(count, one, flags=["nsw"]), countptr)
builder.store(builder.add(value, self.step), self.iter)
range_impl_map = {
types.int32 : (types.range_state32_type, types.range_iter32_type),
types.int64 : (types.range_state64_type, types.range_iter64_type),
types.uint64 : (types.unsigned_range_state64_type, types.unsigned_range_iter64_type)
}
for int_type, state_types in range_impl_map.items():
make_range_impl(int_type, *state_types)
@lower_cast(types.RangeType, types.RangeType)
def range_to_range(context, builder, fromty, toty, val):
olditems = cgutils.unpack_tuple(builder, val, 3)
items = [context.cast(builder, v, fromty.dtype, toty.dtype)
for v in olditems]
return cgutils.make_anonymous_struct(builder, items)
@intrinsic
def length_of_iterator(typingctx, val):
"""
An implementation of len(iter) for internal use.
Primary use is for array comprehensions (see inline_closurecall).
"""
if isinstance(val, types.RangeIteratorType):
val_type = val.yield_type
def codegen(context, builder, sig, args):
(value,) = args
iter_type = range_impl_map[val_type][1]
iterobj = cgutils.create_struct_proxy(iter_type)(context, builder, value)
int_type = iterobj.count.type
return impl_ret_untracked(context, builder, int_type, builder.load(iterobj.count))
return signature(val_type, val), codegen
elif isinstance(val, types.ListIter):
def codegen(context, builder, sig, args):
(value,) = args
intp_t = context.get_value_type(types.intp)
iterobj = ListIterInstance(context, builder, sig.args[0], value)
return impl_ret_untracked(context, builder, intp_t, iterobj.size)
return signature(types.intp, val), codegen
elif isinstance(val, types.ArrayIterator):
def codegen(context, builder, sig, args):
(iterty,) = sig.args
(value,) = args
intp_t = context.get_value_type(types.intp)
iterobj = context.make_helper(builder, iterty, value=value)
arrayty = iterty.array_type
ary = make_array(arrayty)(context, builder, value=iterobj.array)
shape = cgutils.unpack_tuple(builder, ary.shape)
# array iterates along the outer dimension
return impl_ret_untracked(context, builder, intp_t, shape[0])
return signature(types.intp, val), codegen
elif isinstance(val, types.UniTupleIter):
def codegen(context, builder, sig, args):
(iterty,) = sig.args
tuplety = iterty.container
intp_t = context.get_value_type(types.intp)
count_const = intp_t(tuplety.count)
return impl_ret_untracked(context, builder, intp_t, count_const)
return signature(types.intp, val), codegen
elif isinstance(val, types.ListTypeIteratorType):
def codegen(context, builder, sig, args):
(value,) = args
intp_t = context.get_value_type(types.intp)
from numba.typed.listobject import ListIterInstance
iterobj = ListIterInstance(context, builder, sig.args[0], value)
return impl_ret_untracked(context, builder, intp_t, iterobj.size)
return signature(types.intp, val), codegen
else:
msg = ('Unsupported iterator found in array comprehension, try '
'preallocating the array and filling manually.')
raise errors.TypingError(msg)
def make_range_attr(index, attribute):
@intrinsic
def rangetype_attr_getter(typingctx, a):
if isinstance(a, types.RangeType):
def codegen(context, builder, sig, args):
(val,) = args
items = cgutils.unpack_tuple(builder, val, 3)
return impl_ret_untracked(context, builder, sig.return_type,
items[index])
return signature(a.dtype, a), codegen
@overload_attribute(types.RangeType, attribute)
def range_attr(rnge):
def get(rnge):
return rangetype_attr_getter(rnge)
return get
@register_jitable
def impl_contains_helper(robj, val):
if robj.step > 0 and (val < robj.start or val >= robj.stop):
return False
elif robj.step < 0 and (val <= robj.stop or val > robj.start):
return False
return ((val - robj.start) % robj.step) == 0
@overload(operator.contains)
def impl_contains(robj, val):
def impl_false(robj, val):
return False
if not isinstance(robj, types.RangeType):
return
elif isinstance(val, (types.Integer, types.Boolean)):
return impl_contains_helper
elif isinstance(val, types.Float):
def impl(robj, val):
if val % 1 != 0:
return False
else:
return impl_contains_helper(robj, int(val))
return impl
elif isinstance(val, types.Complex):
def impl(robj, val):
if val.imag != 0:
return False
elif val.real % 1 != 0:
return False
else:
return impl_contains_helper(robj, int(val.real))
return impl
elif not isinstance(val, types.Number):
return impl_false
for ix, attr in enumerate(('start', 'stop', 'step')):
make_range_attr(index=ix, attribute=attr)