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"""
Numba support for COO objects.
For now, this just supports attribute access
"""
import contextlib
import numba
from numba.core import cgutils, types
from numba.core.imputils import impl_ret_borrowed, lower_builtin, lower_constant
from numba.core.typing.typeof import typeof_impl
from numba.extending import (
NativeValue,
box,
make_attribute_wrapper,
models,
register_model,
type_callable,
unbox,
)
import numpy as np
from .._utils import _zero_of_dtype
from . import COO
__all__ = ["COOType"]
class COOType(types.Type):
def __init__(self, data_dtype: np.dtype, coords_dtype: np.dtype, ndim: int):
assert isinstance(data_dtype, np.dtype)
assert isinstance(coords_dtype, np.dtype)
self.data_dtype = data_dtype
self.coords_dtype = coords_dtype
self.ndim = ndim
super().__init__(
name=f"COOType[{numba.from_dtype(data_dtype)!r}, {numba.from_dtype(coords_dtype)!r}, {ndim!r}]"
)
@property
def key(self):
return self.data_dtype, self.coords_dtype, self.ndim
@property
def data_type(self):
return numba.from_dtype(self.data_dtype)[:]
@property
def coords_type(self):
return numba.from_dtype(self.coords_dtype)[:, :]
@property
def shape_type(self):
dt = numba.np.numpy_support.from_dtype(self.coords_dtype)
return types.UniTuple(dt, self.ndim)
@property
def fill_value_type(self):
return numba.from_dtype(self.data_dtype)
@typeof_impl.register(COO)
def _typeof_COO(val: COO, c) -> COOType:
return COOType(data_dtype=val.data.dtype, coords_dtype=val.coords.dtype, ndim=val.ndim)
@register_model(COOType)
class COOModel(models.StructModel):
def __init__(self, dmm, fe_type):
members = [
("data", fe_type.data_type),
("coords", fe_type.coords_type),
("shape", fe_type.shape_type),
("fill_value", fe_type.fill_value_type),
]
models.StructModel.__init__(self, dmm, fe_type, members)
@type_callable(COO)
def type_COO(context):
# TODO: accept a fill_value kwarg
def typer(coords, data, shape):
return COOType(
coords_dtype=numba.np.numpy_support.as_dtype(coords.dtype),
data_dtype=numba.np.numpy_support.as_dtype(data.dtype),
ndim=len(shape),
)
return typer
@lower_builtin(COO, types.Any, types.Any, types.Any)
def impl_COO(context, builder, sig, args):
typ = sig.return_type
coords, data, shape = args
coo = cgutils.create_struct_proxy(typ)(context, builder)
coo.coords = coords
coo.data = data
coo.shape = shape
coo.fill_value = context.get_constant_generic(builder, typ.fill_value_type, _zero_of_dtype(typ.data_dtype))
return impl_ret_borrowed(context, builder, sig.return_type, coo._getvalue())
@lower_constant(COOType)
def lower_constant_COO(context, builder, typ, pyval):
coords = context.get_constant_generic(builder, typ.coords_type, pyval.coords)
data = context.get_constant_generic(builder, typ.data_type, pyval.data)
shape = context.get_constant_generic(builder, typ.shape_type, pyval.shape)
fill_value = context.get_constant_generic(builder, typ.fill_value_type, pyval.fill_value)
return impl_ret_borrowed(
context,
builder,
typ,
cgutils.pack_struct(builder, (data, coords, shape, fill_value)),
)
@contextlib.contextmanager
def local_return(builder):
"""
Create a scope which can be broken from locally.
Used as::
with local_return(c.builder) as ret:
with c.builder.if(abort_cond):
ret()
do_some_other_stuff
# no ret needed at the end, it's implied
stuff_that_runs_unconditionally
"""
end_blk = builder.append_basic_block("end")
def return_():
builder.branch(end_blk)
yield return_
builder.branch(end_blk)
# make sure all remaining code goes to the next block
builder.position_at_end(end_blk)
def _unbox_native_field(typ, obj, field_name: str, c):
ret_ptr = cgutils.alloca_once(c.builder, c.context.get_value_type(typ))
is_error_ptr = cgutils.alloca_once_value(c.builder, cgutils.false_bit)
fail_obj = c.context.get_constant_null(typ)
with local_return(c.builder) as ret:
fail_blk = c.builder.append_basic_block("fail")
with c.builder.goto_block(fail_blk):
c.builder.store(cgutils.true_bit, is_error_ptr)
c.builder.store(fail_obj, ret_ptr)
ret()
field_obj = c.pyapi.object_getattr_string(obj, field_name)
with cgutils.if_unlikely(c.builder, cgutils.is_null(c.builder, field_obj)):
c.builder.branch(fail_blk)
field_native = c.unbox(typ, field_obj)
c.pyapi.decref(field_obj)
with cgutils.if_unlikely(c.builder, field_native.is_error):
c.builder.branch(fail_blk)
c.builder.store(cgutils.false_bit, is_error_ptr)
c.builder.store(field_native.value, ret_ptr)
return NativeValue(c.builder.load(ret_ptr), is_error=c.builder.load(is_error_ptr))
@unbox(COOType)
def unbox_COO(typ: COOType, obj: COO, c) -> NativeValue:
ret_ptr = cgutils.alloca_once(c.builder, c.context.get_value_type(typ))
is_error_ptr = cgutils.alloca_once_value(c.builder, cgutils.false_bit)
fail_obj = c.context.get_constant_null(typ)
with local_return(c.builder) as ret:
fail_blk = c.builder.append_basic_block("fail")
with c.builder.goto_block(fail_blk):
c.builder.store(cgutils.true_bit, is_error_ptr)
c.builder.store(fail_obj, ret_ptr)
ret()
data = _unbox_native_field(typ.data_type, obj, "data", c)
with cgutils.if_unlikely(c.builder, data.is_error):
c.builder.branch(fail_blk)
coords = _unbox_native_field(typ.coords_type, obj, "coords", c)
with cgutils.if_unlikely(c.builder, coords.is_error):
c.builder.branch(fail_blk)
shape = _unbox_native_field(typ.shape_type, obj, "shape", c)
with cgutils.if_unlikely(c.builder, shape.is_error):
c.builder.branch(fail_blk)
fill_value = _unbox_native_field(typ.fill_value_type, obj, "fill_value", c)
with cgutils.if_unlikely(c.builder, fill_value.is_error):
c.builder.branch(fail_blk)
coo = cgutils.create_struct_proxy(typ)(c.context, c.builder)
coo.coords = coords.value
coo.data = data.value
coo.shape = shape.value
coo.fill_value = fill_value.value
c.builder.store(cgutils.false_bit, is_error_ptr)
c.builder.store(coo._getvalue(), ret_ptr)
return NativeValue(c.builder.load(ret_ptr), is_error=c.builder.load(is_error_ptr))
@box(COOType)
def box_COO(typ: COOType, val, c) -> COO:
ret_ptr = cgutils.alloca_once(c.builder, c.pyapi.pyobj)
fail_obj = c.pyapi.get_null_object()
coo = cgutils.create_struct_proxy(typ)(c.context, c.builder, value=val)
with local_return(c.builder) as ret:
data_obj = c.box(typ.data_type, coo.data)
with cgutils.if_unlikely(c.builder, cgutils.is_null(c.builder, data_obj)):
c.builder.store(fail_obj, ret_ptr)
ret()
coords_obj = c.box(typ.coords_type, coo.coords)
with cgutils.if_unlikely(c.builder, cgutils.is_null(c.builder, coords_obj)):
c.pyapi.decref(data_obj)
c.builder.store(fail_obj, ret_ptr)
ret()
shape_obj = c.box(typ.shape_type, coo.shape)
with cgutils.if_unlikely(c.builder, cgutils.is_null(c.builder, shape_obj)):
c.pyapi.decref(coords_obj)
c.pyapi.decref(data_obj)
c.builder.store(fail_obj, ret_ptr)
ret()
fill_value_obj = c.box(typ.fill_value_type, coo.fill_value)
with cgutils.if_unlikely(c.builder, cgutils.is_null(c.builder, fill_value_obj)):
c.pyapi.decref(shape_obj)
c.pyapi.decref(coords_obj)
c.pyapi.decref(data_obj)
c.builder.store(fail_obj, ret_ptr)
ret()
class_obj = c.pyapi.unserialize(c.pyapi.serialize_object(COO))
with cgutils.if_unlikely(c.builder, cgutils.is_null(c.builder, class_obj)):
c.pyapi.decref(shape_obj)
c.pyapi.decref(coords_obj)
c.pyapi.decref(data_obj)
c.pyapi.decref(fill_value_obj)
c.builder.store(fail_obj, ret_ptr)
ret()
args = c.pyapi.tuple_pack([coords_obj, data_obj, shape_obj])
c.pyapi.decref(shape_obj)
c.pyapi.decref(coords_obj)
c.pyapi.decref(data_obj)
with cgutils.if_unlikely(c.builder, cgutils.is_null(c.builder, args)):
c.pyapi.decref(fill_value_obj)
c.pyapi.decref(class_obj)
c.builder.store(fail_obj, ret_ptr)
ret()
kwargs = c.pyapi.dict_pack([("fill_value", fill_value_obj)])
c.pyapi.decref(fill_value_obj)
with cgutils.if_unlikely(c.builder, cgutils.is_null(c.builder, kwargs)):
c.pyapi.decref(class_obj)
c.builder.store(fail_obj, ret_ptr)
ret()
c.builder.store(c.pyapi.call(class_obj, args, kwargs), ret_ptr)
c.pyapi.decref(class_obj)
c.pyapi.decref(args)
c.pyapi.decref(kwargs)
return c.builder.load(ret_ptr)
make_attribute_wrapper(COOType, "data", "data")
make_attribute_wrapper(COOType, "coords", "coords")
make_attribute_wrapper(COOType, "shape", "shape")
make_attribute_wrapper(COOType, "fill_value", "fill_value")
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