/
bytemaskedarray.py
939 lines (824 loc) · 31.1 KB
/
bytemaskedarray.py
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# BSD 3-Clause License; see https://github.com/scikit-hep/awkward-1.0/blob/main/LICENSE
from __future__ import absolute_import
import json
import copy
import awkward as ak
from awkward._v2.index import Index
from awkward._v2._slicing import NestedIndexError
from awkward._v2.contents.content import Content
from awkward._v2.forms.bytemaskedform import ByteMaskedForm
from awkward._v2.forms.form import _parameters_equal
np = ak.nplike.NumpyMetadata.instance()
numpy = ak.nplike.Numpy.instance()
class ByteMaskedArray(Content):
is_OptionType = True
def __init__(self, mask, content, valid_when, identifier=None, parameters=None):
if not (isinstance(mask, Index) and mask.dtype == np.dtype(np.int8)):
raise TypeError(
"{0} 'mask' must be an Index with dtype=int8, not {1}".format(
type(self).__name__, repr(mask)
)
)
if not isinstance(content, Content):
raise TypeError(
"{0} 'content' must be a Content subtype, not {1}".format(
type(self).__name__, repr(content)
)
)
if not isinstance(valid_when, bool):
raise TypeError(
"{0} 'valid_when' must be boolean, not {1}".format(
type(self).__name__, repr(valid_when)
)
)
if not len(mask) <= len(content):
raise ValueError(
"{0} len(mask) ({1}) must be <= len(content) ({2})".format(
type(self).__name__, len(mask), len(content)
)
)
self._mask = mask
self._content = content
self._valid_when = valid_when
self._init(identifier, parameters)
@property
def mask(self):
return self._mask
@property
def content(self):
return self._content
@property
def valid_when(self):
return self._valid_when
@property
def nplike(self):
return self._mask.nplike
Form = ByteMaskedForm
def _form_with_key(self, getkey):
form_key = getkey(self)
return self.Form(
self._mask.form,
self._content._form_with_key(getkey),
self._valid_when,
has_identifier=self._identifier is not None,
parameters=self._parameters,
form_key=form_key,
)
def _to_buffers(self, form, getkey, container, nplike):
assert isinstance(form, self.Form)
key = getkey(self, form, "mask")
container[key] = ak._v2._util.little_endian(self._mask.to(nplike))
self._content._to_buffers(form.content, getkey, container, nplike)
@property
def typetracer(self):
return ByteMaskedArray(
ak._v2.index.Index(self._mask.to(ak._v2._typetracer.TypeTracer.instance())),
self._content.typetracer,
self._valid_when,
self._typetracer_identifier(),
self._parameters,
)
def __len__(self):
return len(self._mask)
def __repr__(self):
return self._repr("", "", "")
def _repr(self, indent, pre, post):
out = [indent, pre, "<ByteMaskedArray valid_when="]
out.append(repr(json.dumps(self._valid_when)))
out.append(" len=")
out.append(repr(str(len(self))))
out.append(">")
out.extend(self._repr_extra(indent + " "))
out.append("\n")
out.append(self._mask._repr(indent + " ", "<mask>", "</mask>\n"))
out.append(self._content._repr(indent + " ", "<content>", "</content>\n"))
out.append(indent + "</ByteMaskedArray>")
out.append(post)
return "".join(out)
def merge_parameters(self, parameters):
return ByteMaskedArray(
self._mask,
self._content,
self._valid_when,
self._identifier,
ak._v2._util.merge_parameters(self._parameters, parameters),
)
def toIndexedOptionArray64(self):
nplike = self.nplike
index = ak._v2.index.Index64.empty(len(self._mask), nplike)
self._handle_error(
nplike[
"awkward_ByteMaskedArray_toIndexedOptionArray",
index.dtype.type,
self._mask.dtype.type,
](
index.to(nplike),
self._mask.to(nplike),
len(self._mask),
self._valid_when,
),
)
return ak._v2.contents.indexedoptionarray.IndexedOptionArray(
index, self._content, self._identifier, self._parameters
)
def mask_as_bool(self, valid_when=None, nplike=None):
if valid_when is None:
valid_when = self._valid_when
if nplike is None:
nplike = self._mask.nplike
if valid_when == self._valid_when:
return self._mask.to(nplike) != 0
else:
return self._mask.to(nplike) != 1
def _getitem_nothing(self):
return self._content._getitem_range(slice(0, 0))
def _getitem_at(self, where):
if where < 0:
where += len(self)
if not (0 <= where < len(self)) and self.nplike.known_shape:
raise NestedIndexError(self, where)
if self._mask[where] == self._valid_when:
return self._content._getitem_at(where)
else:
return None
def _getitem_range(self, where):
start, stop, step = where.indices(len(self))
assert step == 1
return ByteMaskedArray(
self._mask[start:stop],
self._content._getitem_range(slice(start, stop)),
self._valid_when,
self._range_identifier(start, stop),
self._parameters,
)
def _getitem_field(self, where, only_fields=()):
return ByteMaskedArray(
self._mask,
self._content._getitem_field(where, only_fields),
self._valid_when,
self._field_identifier(where),
None,
)
def _getitem_fields(self, where, only_fields=()):
return ByteMaskedArray(
self._mask,
self._content._getitem_fields(where, only_fields),
self._valid_when,
self._fields_identifier(where),
None,
)
def _carry(self, carry, allow_lazy, exception):
assert isinstance(carry, ak._v2.index.Index)
try:
nextmask = self._mask[carry.data]
except IndexError as err:
if issubclass(exception, NestedIndexError):
raise exception(self, carry.data, str(err))
else:
raise exception(str(err))
return ByteMaskedArray(
nextmask,
self._content._carry(carry, allow_lazy, exception),
self._valid_when,
self._carry_identifier(carry, exception),
self._parameters,
)
def _nextcarry_outindex(self, numnull):
nplike = self.nplike
self._handle_error(
nplike[
"awkward_ByteMaskedArray_numnull",
numnull.dtype.type,
self._mask.dtype.type,
](
numnull.to(nplike),
self._mask.to(nplike),
len(self._mask),
self._valid_when,
)
)
nextcarry = ak._v2.index.Index64.empty(len(self) - numnull[0], nplike)
outindex = ak._v2.index.Index64.empty(len(self), nplike)
self._handle_error(
nplike[
"awkward_ByteMaskedArray_getitem_nextcarry_outindex",
nextcarry.dtype.type,
outindex.dtype.type,
self._mask.dtype.type,
](
nextcarry.to(nplike),
outindex.to(nplike),
self._mask.to(nplike),
len(self._mask),
self._valid_when,
)
)
return nextcarry, outindex
def _getitem_next_jagged_generic(self, slicestarts, slicestops, slicecontent, tail):
nplike = self.nplike
if len(slicestarts) != len(self) and nplike.known_shape:
raise NestedIndexError(
self,
ak._v2.contents.ListArray(slicestarts, slicestops, slicecontent),
"cannot fit jagged slice with length {0} into {1} of size {2}".format(
len(slicestarts), type(self).__name__, len(self)
),
)
numnull = ak._v2.index.Index64.empty(1, nplike)
nextcarry, outindex = self._nextcarry_outindex(numnull)
reducedstarts = ak._v2.index.Index64.empty(len(self) - numnull[0], nplike)
reducedstops = ak._v2.index.Index64.empty(len(self) - numnull[0], nplike)
self._handle_error(
nplike[
"awkward_MaskedArray_getitem_next_jagged_project",
outindex.dtype.type,
slicestarts.dtype.type,
slicestops.dtype.type,
reducedstarts.dtype.type,
reducedstops.dtype.type,
](
outindex.to(nplike),
slicestarts.to(nplike),
slicestops.to(nplike),
reducedstarts.to(nplike),
reducedstops.to(nplike),
len(self),
)
)
next = self._content._carry(nextcarry, True, NestedIndexError)
out = next._getitem_next_jagged(reducedstarts, reducedstops, slicecontent, tail)
out2 = ak._v2.contents.indexedoptionarray.IndexedOptionArray(
outindex, out, self._identifier, self._parameters
)
return out2.simplify_optiontype()
def _getitem_next_jagged(self, slicestarts, slicestops, slicecontent, tail):
return self._getitem_next_jagged_generic(
slicestarts, slicestops, slicecontent, tail
)
def _getitem_next(self, head, tail, advanced):
if head == ():
return self
elif isinstance(head, (int, slice, ak._v2.index.Index64)):
nexthead, nexttail = ak._v2._slicing.headtail(tail)
numnull = ak._v2.index.Index64.empty(1, self.nplike)
nextcarry, outindex = self._nextcarry_outindex(numnull)
next = self._content._carry(nextcarry, True, NestedIndexError)
out = next._getitem_next(head, tail, advanced)
out2 = ak._v2.contents.indexedoptionarray.IndexedOptionArray(
outindex,
out,
self._identifier,
self._parameters,
)
return out2.simplify_optiontype()
elif ak._util.isstr(head):
return self._getitem_next_field(head, tail, advanced)
elif isinstance(head, list):
return self._getitem_next_fields(head, tail, advanced)
elif head is np.newaxis:
return self._getitem_next_newaxis(tail, advanced)
elif head is Ellipsis:
return self._getitem_next_ellipsis(tail, advanced)
elif isinstance(head, ak._v2.contents.ListOffsetArray):
return self._getitem_next_jagged_generic(head, tail, advanced)
elif isinstance(head, ak._v2.contents.IndexedOptionArray):
return self._getitem_next_missing(head, tail, advanced)
else:
raise AssertionError(repr(head))
def project(self, mask=None):
mask_length = len(self._mask)
numnull = ak._v2.index.Index64.zeros(1, self.nplike)
if mask is not None:
if mask_length != len(mask):
raise ValueError(
"mask length ({0}) is not equal to {1} length ({2})".format(
len(mask), type(self).__name__, mask_length
)
)
nextmask = ak._v2.index.Index8.zeros(mask_length, self.nplike)
self._handle_error(
self.nplike[
"awkward_ByteMaskedArray_overlay_mask",
nextmask.dtype.type,
mask.dtype.type,
self._mask.dtype.type,
](
nextmask.to(self.nplike),
mask.to(self.nplike),
self._mask.to(self.nplike),
mask_length,
self._valid_when,
)
)
valid_when = False
next = ByteMaskedArray(
nextmask, self._content, valid_when, self._identifier, self._parameters
)
return next.project()
else:
self._handle_error(
self.nplike[
"awkward_ByteMaskedArray_numnull",
numnull.dtype.type,
self._mask.dtype.type,
](
numnull.to(self.nplike),
self._mask.to(self.nplike),
mask_length,
self._valid_when,
)
)
nextcarry = ak._v2.index.Index64.zeros(
mask_length - numnull[0], self.nplike
)
self._handle_error(
self.nplike[
"awkward_ByteMaskedArray_getitem_nextcarry",
nextcarry.dtype.type,
self._mask.dtype.type,
](
nextcarry.to(self.nplike),
self._mask.to(self.nplike),
mask_length,
self._valid_when,
)
)
return self._content._carry(nextcarry, False, NestedIndexError)
def simplify_optiontype(self):
if isinstance(
self._content,
(
ak._v2.contents.indexedarray.IndexedArray,
ak._v2.contents.indexedoptionarray.IndexedOptionArray,
ak._v2.contents.bytemaskedarray.ByteMaskedArray,
ak._v2.contents.bitmaskeddarray.BitMaskedArray,
ak._v2.contents.unmaskeddarray.UnmaskedArray,
),
):
return self.toIndexedOptionArray64.simplify_optiontype
else:
return self
def num(self, axis, depth=0):
posaxis = self.axis_wrap_if_negative(axis)
if posaxis == depth:
out = ak._v2.index.Index64.empty(1, self.nplike)
out[0] = len(self)
return ak._v2.contents.numpyarray.NumpyArray(out)[0]
else:
numnull = ak._v2.index.Index64.empty(1, self.nplike, dtype=np.int64)
nextcarry, outindex = self._nextcarry_outindex(numnull)
next = self._content._carry(nextcarry, False, NestedIndexError)
out = next.num(posaxis, depth)
out2 = ak._v2.contents.indexedoptionarray.IndexedOptionArray(
outindex, out, parameters=self.parameters
)
return out2.simplify_optiontype()
def _offsets_and_flattened(self, axis, depth):
posaxis = self.axis_wrap_if_negative(axis)
if posaxis == depth:
raise np.AxisError(self, "axis=0 not allowed for flatten")
else:
numnull = ak._v2.index.Index64.empty(1, self.nplike)
nextcarry, outindex = self._nextcarry_outindex(numnull)
next = self._content._carry(nextcarry, False, NestedIndexError)
offsets, flattened = next._offsets_and_flattened(posaxis, depth)
if len(offsets) == 0:
return (
offsets,
ak._v2.contents.indexedoptionarray.IndexedOptionArray(
outindex, flattened, None, self._parameters
),
)
else:
outoffsets = ak._v2.index.Index64.empty(
len(offsets) + numnull[0], self.nplike, dtype=np.int64
)
self._handle_error(
self.nplike[
"awkward_IndexedArray_flatten_none2empty",
outoffsets.dtype.type,
outindex.dtype.type,
offsets.dtype.type,
](
outoffsets.to(self.nplike),
outindex.to(self.nplike),
len(outindex),
offsets.to(self.nplike),
len(offsets),
)
)
return (outoffsets, flattened)
def mergeable(self, other, mergebool):
if not _parameters_equal(self._parameters, other._parameters):
return False
if isinstance(
other,
(
ak._v2.contents.emptyarray.EmptyArray,
ak._v2.contents.unionarray.UnionArray,
),
):
return True
if isinstance(
other,
(
ak._v2.contents.indexedarray.IndexedArray,
ak._v2.contents.indexedoptionarray.IndexedOptionArray,
ak._v2.contents.bytemaskedarray.ByteMaskedArray,
ak._v2.contents.bitmaskedarray.BitMaskedArray,
ak._v2.contents.unmaskedarray.UnmaskedArray,
),
):
self._content.mergeable(other.content, mergebool)
else:
return self._content.mergeable(other, mergebool)
def _reverse_merge(self, other):
return self.toIndexedOptionArray64()._reverse_merge(other)
def mergemany(self, others):
if len(others) == 0:
return self
return self.toIndexedOptionArray64().mergemany(others)
def fillna(self, value):
return self.toIndexedOptionArray64().fillna(value)
def _localindex(self, axis, depth):
posaxis = self.axis_wrap_if_negative(axis)
if posaxis == depth:
return self._localindex_axis0()
else:
numnull = ak._v2.index.Index64.empty(1, self.nplike)
nextcarry, outindex = self._nextcarry_outindex(numnull)
next = self._content._carry(nextcarry, False, NestedIndexError)
out = next._localindex(posaxis, depth)
out2 = ak._v2.contents.indexedoptionarray.IndexedOptionArray(
outindex,
out,
self._identifier,
self._parameters,
)
return out2.simplify_optiontype()
def numbers_to_type(self, name):
return ak._v2.contents.bytemaskedarray.ByteMaskedArray(
self._mask,
self._content.numbers_to_type(name),
self._valid_when,
self._identifier,
self._parameters,
)
def _is_unique(self, negaxis, starts, parents, outlength):
if len(self._mask) == 0:
return True
return self.toIndexedOptionArray64()._is_unique(
negaxis, starts, parents, outlength
)
def _unique(self, negaxis, starts, parents, outlength):
if len(self._mask) == 0:
return self
return self.toIndexedOptionArray64()._unique(
negaxis, starts, parents, outlength
)
def _argsort_next(
self,
negaxis,
starts,
shifts,
parents,
outlength,
ascending,
stable,
kind,
order,
):
if len(self._mask) == 0:
return ak._v2.contents.NumpyArray(self.nplike.empty(0, np.int64))
return self.toIndexedOptionArray64()._argsort_next(
negaxis,
starts,
shifts,
parents,
outlength,
ascending,
stable,
kind,
order,
)
def _sort_next(
self, negaxis, starts, parents, outlength, ascending, stable, kind, order
):
return self.toIndexedOptionArray64()._sort_next(
negaxis,
starts,
parents,
outlength,
ascending,
stable,
kind,
order,
)
def _combinations(self, n, replacement, recordlookup, parameters, axis, depth):
if n < 1:
raise ValueError("in combinations, 'n' must be at least 1")
posaxis = self.axis_wrap_if_negative(axis)
if posaxis == depth:
return self._combinations_axis0(n, replacement, recordlookup, parameters)
else:
numnull = ak._v2.index.Index64.empty(1, self.nplike, dtype=np.int64)
nextcarry, outindex = self._nextcarry_outindex(numnull)
next = self._content._carry(nextcarry, True, NestedIndexError)
out = next._combinations(
n, replacement, recordlookup, parameters, posaxis, depth
)
out2 = ak._v2.contents.indexedoptionarray.IndexedOptionArray(
outindex, out, parameters=parameters
)
return out2.simplify_optiontype()
def _reduce_next(
self,
reducer,
negaxis,
starts,
shifts,
parents,
outlength,
mask,
keepdims,
):
nplike = self.nplike
mask_length = len(self._mask)
numnull = ak._v2.index.Index64.zeros(1, nplike)
self._handle_error(
nplike[
"awkward_ByteMaskedArray_numnull",
numnull.dtype.type,
self._mask.dtype.type,
](
numnull.to(nplike),
self._mask.to(nplike),
mask_length,
self._valid_when,
)
)
next_length = mask_length - numnull[0]
nextcarry = ak._v2.index.Index64.zeros(next_length, nplike)
nextparents = ak._v2.index.Index64.zeros(next_length, nplike)
outindex = ak._v2.index.Index64.zeros(mask_length, nplike)
self._handle_error(
nplike[
"awkward_ByteMaskedArray_reduce_next_64",
nextcarry.dtype.type,
nextparents.dtype.type,
outindex.dtype.type,
self._mask.dtype.type,
parents.dtype.type,
](
nextcarry.to(nplike),
nextparents.to(nplike),
outindex.to(nplike),
self._mask.to(nplike),
parents.to(nplike),
mask_length,
self._valid_when,
)
)
branch, depth = self.branch_depth
if reducer.needs_position and (not branch and negaxis == depth):
nextshifts = ak._v2.index.Index64.zeros(next_length, nplike)
if shifts is None:
self._handle_error(
nplike[
"awkward_ByteMaskedArray_reduce_next_nonlocal_nextshifts_64",
nextshifts.dtype.type,
self._mask.dtype.type,
](
nextshifts.to(nplike),
self._mask.to(nplike),
mask_length,
self._valid_when,
)
)
else:
self._handle_error(
nplike[
"awkward_ByteMaskedArray_reduce_next_nonlocal_nextshifts_fromshifts_64",
nextshifts.dtype.type,
self._mask.dtype.type,
shifts.dtype.type,
](
nextshifts.to(nplike),
self._mask.to(nplike),
mask_length,
self._valid_when,
shifts.to(nplike),
)
)
else:
nextshifts = None
next = self._content._carry(nextcarry, False, NestedIndexError)
if isinstance(next, ak._v2.contents.RegularArray):
next = next.toListOffsetArray64(True)
out = next._reduce_next(
reducer,
negaxis,
starts,
nextshifts,
nextparents,
outlength,
mask,
keepdims,
)
if not branch and negaxis == depth:
return out
else:
if isinstance(out, ak._v2.contents.RegularArray):
out = out.toListOffsetArray64(True)
if isinstance(out, ak._v2.contents.ListOffsetArray):
outoffsets = ak._v2.index.Index64.zeros(len(starts) + 1, nplike)
self._handle_error(
nplike[
"awkward_IndexedArray_reduce_next_fix_offsets_64",
outoffsets.dtype.type,
starts.dtype.type,
](
outoffsets.to(nplike),
starts.to(nplike),
len(starts),
len(outindex),
)
)
tmp = ak._v2.contents.IndexedOptionArray(
outindex,
out.content,
None,
None,
).simplify_optiontype()
return ak._v2.contents.ListOffsetArray(
outoffsets,
tmp,
None,
None,
)
else:
raise ValueError(
"reduce_next with unbranching depth > negaxis is only "
"expected to return RegularArray or ListOffsetArray64; "
"instead, it returned " + out
)
def _validityerror(self, path):
if len(self._content) < len(self.mask):
return 'at {0} ("{1}"): len(content) < len(mask)'.format(path, type(self))
elif isinstance(
self._content,
(
ak._v2.contents.bitmaskedarray.BitMaskedArray,
ak._v2.contents.bytemaskedarray.ByteMaskedArray,
ak._v2.contents.indexedarray.IndexedArray,
ak._v2.contents.indexedoptionarray.IndexedOptionArray,
ak._v2.contents.unmaskedarray.UnmaskedArray,
),
):
return "{0} contains \"{1}\", the operation that made it might have forgotten to call 'simplify_optiontype()'"
else:
return self._content.validityerror(path + ".content")
def _nbytes_part(self):
result = self.mask._nbytes_part() + self.content._nbytes_part()
if self.identifier is not None:
result = result + self.identifier._nbytes_part()
return result
def bytemask(self):
if not self._valid_when:
return self._mask
else:
out = ak._v2.index.Index64.empty(len(self), self.nplike)
self._handle_error(
self.nplike[
"awkward_ByteMaskedArray_mask",
out.dtype.type,
self._mask.dtype.type,
](
out.to(self.nplike),
self._mask.to(self.nplike),
len(self._mask),
self._valid_when,
)
)
return out
def _rpad(self, target, axis, depth, clip):
posaxis = self.axis_wrap_if_negative(axis)
if posaxis == depth:
return self.rpad_axis0(target, clip)
elif posaxis == depth + 1:
mask = self.bytemask()
index = ak._v2.index.Index64.empty(len(mask), self.nplike)
self._handle_error(
self.nplike[
"awkward_IndexedOptionArray_rpad_and_clip_mask_axis1",
index.dtype.type,
self._mask.dtype.type,
](
index.to(self.nplike),
self._mask.to(self.nplike),
len(self._mask),
)
)
next = self.project()._rpad(target, posaxis, depth, clip)
return ak._v2.contents.indexedoptionarray.IndexedOptionArray(
index,
next.simplify_optiontype(),
None,
self._parameters,
)
else:
return ak._v2.contents.bytemaskedarray.ByteMaskedArray(
self._mask,
self._content._rpad(target, posaxis, depth, clip),
self._valid_when,
None,
self._parameters,
)
def _to_arrow(self, pyarrow, mask_node, validbytes, length, options):
this_validbytes = self.mask_as_bool(valid_when=True)
return self._content._to_arrow(
pyarrow,
self,
ak._v2._connect.pyarrow.and_validbytes(validbytes, this_validbytes),
length,
options,
)
def _to_numpy(self, allow_missing):
return self.toIndexedOptionArray64()._to_numpy(allow_missing)
def _completely_flatten(self, nplike, options):
return self.project()._completely_flatten(nplike, options)
def _recursively_apply(
self, action, depth, depth_context, lateral_context, options
):
if options["return_array"]:
def continuation():
return ByteMaskedArray(
self._mask,
self._content._recursively_apply(
action,
depth,
copy.copy(depth_context),
lateral_context,
options,
),
self._valid_when,
self._identifier,
self._parameters if options["keep_parameters"] else None,
)
else:
def continuation():
self._content._recursively_apply(
action,
depth,
copy.copy(depth_context),
lateral_context,
options,
)
result = action(
self,
depth=depth,
depth_context=depth_context,
lateral_context=lateral_context,
continuation=continuation,
options=options,
)
if isinstance(result, Content):
return result
elif result is None:
return continuation()
else:
raise AssertionError(result)
def packed(self):
if self._content.is_RecordType:
next = self.toIndexedOptionArray64()
content = next._content.packed()
if len(content) > len(self._mask):
content = content[: len(self._mask)]
return ak._v2.contents.indexedoptionarray.IndexedOptionArray(
next._index,
content,
next._identifier,
next._parameters,
)
else:
content = self._content.packed()
if len(content) > len(self._mask):
content = content[: len(self._mask)]
return ByteMaskedArray(
self._mask,
content,
self._valid_when,
self._identifier,
self._parameters,
)
def _to_list(self, behavior):
out = self._to_list_custom(behavior)
if out is not None:
return out
mask = self.mask_as_bool(valid_when=True, nplike=numpy)
content = self._content._to_list(behavior)
out = [None] * len(self._mask)
for i, isvalid in enumerate(mask):
if isvalid:
out[i] = content[i]
return out