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_util.py
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_util.py
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# BSD 3-Clause License; see https://github.com/scikit-hep/awkward-1.0/blob/main/LICENSE
# v2: replace with src/awkward/_v2/_util.py
from __future__ import absolute_import
import re
import sys
import os
import os.path
import warnings
import itertools
import numbers
try:
from collections.abc import Mapping
from collections.abc import MutableMapping
except ImportError:
from collections import Mapping
from collections import MutableMapping
import awkward as ak
np = ak.nplike.NumpyMetadata.instance()
py27 = sys.version_info[0] < 3
py35 = sys.version_info[0] == 3 and sys.version_info[1] <= 5
py36 = sys.version_info[0] == 3 and sys.version_info[1] <= 6
win = os.name == "nt"
bits32 = ak.nplike.numpy.iinfo(np.intp).bits == 32
# to silence flake8 F821 errors
if py27:
unicode = eval("unicode")
else:
unicode = None
# matches include/awkward/common.h
kMaxInt8 = 127 # 2**7 - 1
kMaxUInt8 = 255 # 2**8 - 1
kMaxInt32 = 2147483647 # 2**31 - 1
kMaxUInt32 = 4294967295 # 2**32 - 1
kMaxInt64 = 9223372036854775806 # 2**63 - 2: see below
kSliceNone = kMaxInt64 + 1 # for Slice::none()
kMaxLevels = 48
def is_file_path(x):
try:
return os.path.isfile(x)
except ValueError:
return False
def isint(x):
"""
Returns True if and only if ``x`` is an integer (including NumPy, not
including bool).
"""
return isinstance(x, (int, numbers.Integral, np.integer)) and not isinstance(
x, (bool, np.bool_)
)
def isnum(x):
"""
Returns True if and only if ``x`` is a number (including NumPy, not
including bool).
"""
return isinstance(x, (int, float, numbers.Real, np.number)) and not isinstance(
x, (bool, np.bool_)
)
def isstr(x):
"""
Returns True if and only if ``x`` is a string (including Python 2 unicode).
"""
if py27:
return isinstance(x, (bytes, unicode))
else:
return isinstance(x, str)
def exception_suffix(filename):
line = ""
if hasattr(sys, "_getframe"):
line = "#L" + str(sys._getframe(1).f_lineno)
filename = filename.replace("\\", "/")
filename = "/src/awkward/" + filename.split("awkward/")[1]
return (
"\n\n(https://github.com/scikit-hep/awkward-1.0/blob/"
+ ak.__version__
+ filename
+ line
+ ")"
)
# Enable warnings for the Awkward package
warnings.filterwarnings("default", module="awkward.*")
def deprecate(
message,
version,
date=None,
will_be="an error",
category=DeprecationWarning,
stacklevel=2,
):
if date is None:
date = ""
else:
date = " (target date: " + date + ")"
warning = """In version {0}{1}, this will be {2}.
To raise these warnings as errors (and get stack traces to find out where they're called), run
import warnings
warnings.filterwarnings("error", module="awkward.*")
after the first `import awkward` or use `@pytest.mark.filterwarnings("error:::awkward.*")` in pytest.
Issue: {3}.""".format(
version, date, will_be, message
)
warnings.warn(warning, category, stacklevel=stacklevel + 1)
# Sentinel object for catching pass-through values
class MISSING(object):
pass
virtualtypes = (ak.layout.VirtualArray,)
unknowntypes = (ak.layout.EmptyArray,)
indexedtypes = (
ak.layout.IndexedArray32,
ak.layout.IndexedArrayU32,
ak.layout.IndexedArray64,
)
uniontypes = (
ak.layout.UnionArray8_32,
ak.layout.UnionArray8_U32,
ak.layout.UnionArray8_64,
)
indexedoptiontypes = (
ak.layout.IndexedOptionArray32,
ak.layout.IndexedOptionArray64,
)
optiontypes = (
ak.layout.IndexedOptionArray32,
ak.layout.IndexedOptionArray64,
ak.layout.ByteMaskedArray,
ak.layout.BitMaskedArray,
ak.layout.UnmaskedArray,
)
listtypes = (
ak.layout.RegularArray,
ak.layout.ListArray32,
ak.layout.ListArrayU32,
ak.layout.ListArray64,
ak.layout.ListOffsetArray32,
ak.layout.ListOffsetArrayU32,
ak.layout.ListOffsetArray64,
)
recordtypes = (ak.layout.RecordArray,)
def regularize_path(path):
"""
Converts pathlib Paths into plain string paths (for all versions of Python).
"""
is_path = False
if isinstance(path, getattr(os, "PathLike", ())):
is_path = True
path = os.fspath(path)
elif hasattr(path, "__fspath__"):
is_path = True
path = path.__fspath__()
elif path.__class__.__module__ == "pathlib":
import pathlib
if isinstance(path, pathlib.Path):
is_path = True
path = str(path)
return is_path, path
class Behavior(Mapping):
def __init__(self, defaults, overrides):
self.defaults = defaults
if overrides is None:
self.overrides = {}
else:
self.overrides = overrides
def __getitem__(self, where):
try:
return self.overrides[where]
except KeyError:
try:
return self.defaults[where]
except KeyError:
return None
def items(self):
for n, x in self.overrides.items():
yield n, x
for n, x in self.defaults.items():
if n not in self.overrides:
yield n, x
def __iter__(self):
for x in self.keys():
yield x
def __len__(self):
return len(set(self.defaults) | set(self.overrides))
def arrayclass(layout, behavior):
layout = ak.partition.first(layout)
behavior = Behavior(ak.behavior, behavior)
arr = layout.parameter("__array__")
if isinstance(arr, str) or (py27 and isinstance(arr, unicode)):
cls = behavior[arr]
if isinstance(cls, type) and issubclass(cls, ak.highlevel.Array):
return cls
rec = layout.parameter("__record__")
if isinstance(rec, str) or (py27 and isinstance(rec, unicode)):
cls = behavior[".", rec]
if isinstance(cls, type) and issubclass(cls, ak.highlevel.Array):
return cls
deeprec = layout.purelist_parameter("__record__")
if isinstance(deeprec, str) or (py27 and isinstance(deeprec, unicode)):
cls = behavior["*", deeprec]
if isinstance(cls, type) and issubclass(cls, ak.highlevel.Array):
return cls
return ak.highlevel.Array
def custom_cast(obj, behavior):
behavior = Behavior(ak.behavior, behavior)
for key, fcn in behavior.items():
if (
isinstance(key, tuple)
and len(key) == 2
and key[0] == "__cast__"
and isinstance(obj, key[1])
):
return fcn
return None
def custom_broadcast(layout, behavior):
layout = ak.partition.first(layout)
behavior = Behavior(ak.behavior, behavior)
custom = layout.parameter("__array__")
if not (isinstance(custom, str) or (py27 and isinstance(custom, unicode))):
custom = layout.parameter("__record__")
if not (isinstance(custom, str) or (py27 and isinstance(custom, unicode))):
custom = layout.purelist_parameter("__record__")
if isinstance(custom, str) or (py27 and isinstance(custom, unicode)):
for key, fcn in behavior.items():
if (
isinstance(key, tuple)
and len(key) == 2
and key[0] == "__broadcast__"
and key[1] == custom
):
return fcn
return None
def numba_array_typer(layouttype, behavior):
behavior = Behavior(ak.behavior, behavior)
arr = layouttype.parameters.get("__array__")
if isinstance(arr, str) or (py27 and isinstance(arr, unicode)):
typer = behavior["__numba_typer__", arr]
if callable(typer):
return typer
rec = layouttype.parameters.get("__record__")
if isinstance(rec, str) or (py27 and isinstance(rec, unicode)):
typer = behavior["__numba_typer__", ".", rec]
if callable(typer):
return typer
deeprec = layouttype.parameters.get("__record__")
if isinstance(deeprec, str) or (py27 and isinstance(deeprec, unicode)):
typer = behavior["__numba_typer__", "*", deeprec]
if callable(typer):
return typer
return None
def numba_array_lower(layouttype, behavior):
behavior = Behavior(ak.behavior, behavior)
arr = layouttype.parameters.get("__array__")
if isinstance(arr, str) or (py27 and isinstance(arr, unicode)):
lower = behavior["__numba_lower__", arr]
if callable(lower):
return lower
rec = layouttype.parameters.get("__record__")
if isinstance(rec, str) or (py27 and isinstance(rec, unicode)):
lower = behavior["__numba_lower__", ".", rec]
if callable(lower):
return lower
deeprec = layouttype.parameters.get("__record__")
if isinstance(deeprec, str) or (py27 and isinstance(deeprec, unicode)):
lower = behavior["__numba_lower__", "*", deeprec]
if callable(lower):
return lower
return None
def recordclass(layout, behavior):
layout = ak.partition.first(layout)
behavior = Behavior(ak.behavior, behavior)
rec = layout.parameter("__record__")
if isinstance(rec, str) or (py27 and isinstance(rec, unicode)):
cls = behavior[rec]
if isinstance(cls, type) and issubclass(cls, ak.highlevel.Record):
return cls
return ak.highlevel.Record
def typestrs(behavior):
behavior = Behavior(ak.behavior, behavior)
out = {}
for key, typestr in behavior.items():
if (
isinstance(key, tuple)
and len(key) == 2
and key[0] == "__typestr__"
and (isinstance(key[1], str) or (py27 and isinstance(key[1], unicode)))
and (isinstance(typestr, str) or (py27 and isinstance(typestr, unicode)))
):
out[key[1]] = typestr
return out
def gettypestr(parameters, typestrs):
if parameters is not None:
record = parameters.get("__record__")
if record is not None:
typestr = typestrs.get(record)
if typestr is not None:
return typestr
array = parameters.get("__array__")
if array is not None:
typestr = typestrs.get(array)
if typestr is not None:
return typestr
return None
def numba_record_typer(layouttype, behavior):
behavior = Behavior(ak.behavior, behavior)
rec = layouttype.parameters.get("__record__")
if isinstance(rec, str) or (py27 and isinstance(rec, unicode)):
typer = behavior["__numba_typer__", rec]
if callable(typer):
return typer
return None
def numba_record_lower(layouttype, behavior):
behavior = Behavior(ak.behavior, behavior)
rec = layouttype.parameters.get("__record__")
if isinstance(rec, str) or (py27 and isinstance(rec, unicode)):
lower = behavior["__numba_lower__", rec]
if callable(lower):
return lower
return None
def overload(behavior, signature):
if not any(s is None for s in signature):
behavior = Behavior(ak.behavior, behavior)
for key, custom in behavior.items():
if (
isinstance(key, tuple)
and len(key) == len(signature)
and key[0] == signature[0]
and all(
k == s
or (
isinstance(k, type) and isinstance(s, type) and issubclass(s, k)
)
for k, s in zip(key[1:], signature[1:])
)
):
return custom
def numba_attrs(layouttype, behavior):
behavior = Behavior(ak.behavior, behavior)
rec = layouttype.parameters.get("__record__")
if isinstance(rec, str) or (py27 and isinstance(rec, unicode)):
for key, typer in behavior.items():
if (
isinstance(key, tuple)
and len(key) == 3
and key[0] == "__numba_typer__"
and key[1] == rec
):
lower = behavior["__numba_lower__", key[1], key[2]]
yield key[2], typer, lower
def numba_methods(layouttype, behavior):
behavior = Behavior(ak.behavior, behavior)
rec = layouttype.parameters.get("__record__")
if isinstance(rec, str) or (py27 and isinstance(rec, unicode)):
for key, typer in behavior.items():
if (
isinstance(key, tuple)
and len(key) == 4
and key[0] == "__numba_typer__"
and key[1] == rec
and key[3] == ()
):
lower = behavior["__numba_lower__", key[1], key[2], ()]
yield key[2], typer, lower
def numba_unaryops(unaryop, left, behavior):
behavior = Behavior(ak.behavior, behavior)
done = False
if isinstance(left, ak._connect._numba.layout.ContentType):
left = left.parameters.get("__record__")
if not (isinstance(left, str) or (py27 and isinstance(left, unicode))):
done = True
if not done:
for key, typer in behavior.items():
if (
isinstance(key, tuple)
and len(key) == 3
and key[0] == "__numba_typer__"
and key[1] == unaryop
and key[2] == left
):
lower = behavior["__numba_lower__", key[1], key[2]]
yield typer, lower
def numba_binops(binop, left, right, behavior):
behavior = Behavior(ak.behavior, behavior)
done = False
if isinstance(left, ak._connect._numba.layout.ContentType):
left = left.parameters.get("__record__")
if not (isinstance(left, str) or (py27 and isinstance(left, unicode))):
done = True
if isinstance(right, ak._connect._numba.layout.ContentType):
right = right.parameters.get("__record__")
if not isinstance(right, str) and not (py27 and isinstance(right, unicode)):
done = True
if not done:
for key, typer in behavior.items():
if (
isinstance(key, tuple)
and len(key) == 4
and key[0] == "__numba_typer__"
and key[1] == left
and key[2] == binop
and key[3] == right
):
lower = behavior["__numba_lower__", key[1], key[2], key[3]]
yield typer, lower
def behaviorof(*arrays, **kwargs):
behavior = kwargs.get("behavior")
if behavior is not None:
# An explicit 'behavior' always wins.
return behavior
copied = False
for x in arrays[::-1]:
if (
isinstance(
x,
(ak.highlevel.Array, ak.highlevel.Record, ak.highlevel.ArrayBuilder),
)
and x.behavior is not None
):
if behavior is None:
behavior = x.behavior
elif behavior is x.behavior:
pass
elif not copied:
behavior = dict(behavior)
behavior.update(x.behavior)
copied = True
else:
behavior.update(x.behavior)
return behavior
def wrap(content, behavior):
if isinstance(content, (ak.layout.Content, ak.partition.PartitionedArray)):
return ak.highlevel.Array(content, behavior=behavior, kernels=None)
elif isinstance(content, ak.layout.Record):
return ak.highlevel.Record(content, behavior=behavior, kernels=None)
else:
return content
def maybe_wrap(content, behavior, highlevel):
if highlevel:
return ak._util.wrap(content, behavior)
else:
return content
def maybe_wrap_like(content, array, behavior, highlevel):
return maybe_wrap(content, behaviorof(array, behavior=behavior), highlevel)
def extra(args, kwargs, defaults):
out = []
for i in range(len(defaults)):
name, default = defaults[i]
if i < len(args):
out.append(args[i])
elif name in kwargs:
out.append(kwargs[name])
else:
out.append(default)
return out
def key2index(keys, key):
if keys is None:
attempt = None
else:
try:
attempt = keys.index(key)
except ValueError:
attempt = None
if attempt is None:
m = key2index._pattern.match(key)
if m is not None:
attempt = m.group(0)
if attempt is None:
raise ValueError(
"key {0} not found in record".format(repr(key)) + exception_suffix(__file__)
)
else:
return attempt
key2index._pattern = re.compile(r"^[1-9][0-9]*$")
def completely_flatten(array):
if isinstance(array, ak.partition.PartitionedArray):
out = []
for partition in array.partitions:
for outi in completely_flatten(partition):
out.append(outi)
return tuple(out)
elif isinstance(array, virtualtypes):
return completely_flatten(array.array)
elif isinstance(array, unknowntypes):
return (ak.nplike.of(array).array([], dtype=np.bool_),)
elif isinstance(array, indexedtypes):
return completely_flatten(array.project())
elif isinstance(array, uniontypes):
out = []
for i in range(array.numcontents):
tmp = completely_flatten(array.project(i))
assert isinstance(tmp, tuple)
for x in tmp:
out.append(x)
return tuple(out)
elif isinstance(array, optiontypes):
return completely_flatten(array.project())
elif isinstance(array, listtypes):
return completely_flatten(array.flatten(axis=1))
elif isinstance(array, recordtypes):
out = []
for i in range(array.numfields):
out.extend(completely_flatten(array.field(i)))
return tuple(out)
elif isinstance(array, ak.layout.NumpyArray):
if array.format.upper().startswith("M"):
return (
ak.nplike.of(array)
.asarray(array.view_int64)
.view(array.format)
.reshape(-1),
)
else:
return (ak.nplike.of(array).asarray(array).reshape(-1),)
else:
raise RuntimeError(
"cannot completely flatten: {0}".format(type(array))
+ exception_suffix(__file__)
)
def broadcast_and_apply( # noqa: C901
inputs,
getfunction,
behavior,
allow_records=True,
pass_depth=True,
pass_user=False,
user=None,
left_broadcast=True,
right_broadcast=True,
numpy_to_regular=False,
regular_to_jagged=False,
):
def checklength(inputs):
length = len(inputs[0])
for x in inputs[1:]:
if len(x) != length:
raise ValueError(
"cannot broadcast {0} of length {1} with {2} of "
"length {3}".format(
type(inputs[0]).__name__, length, type(x).__name__, len(x)
)
+ exception_suffix(__file__)
)
def all_same_offsets(nplike, inputs):
offsets = None
for x in inputs:
if isinstance(
x,
(
ak.layout.ListOffsetArray32,
ak.layout.ListOffsetArrayU32,
ak.layout.ListOffsetArray64,
),
):
if offsets is None:
offsets = nplike.asarray(x.offsets)
elif not nplike.array_equal(offsets, nplike.asarray(x.offsets)):
return False
elif isinstance(
x,
(
ak.layout.ListArray32,
ak.layout.ListArrayU32,
ak.layout.ListArray64,
),
):
starts = nplike.asarray(x.starts)
stops = nplike.asarray(x.stops)
if not nplike.array_equal(starts[1:], stops[:-1]):
return False
if offsets is None:
offsets = nplike.empty(len(starts) + 1, dtype=starts.dtype)
if len(offsets) == 1:
offsets[0] = 0
else:
offsets[:-1] = starts
offsets[-1] = stops[-1]
elif not nplike.array_equal(offsets[:-1], starts) or (
len(stops) != 0 and offsets[-1] != stops[-1]
):
return False
elif isinstance(x, ak.layout.RegularArray):
if x.size == 0:
my_offsets = nplike.empty(0, dtype=np.int64)
else:
my_offsets = nplike.arange(0, len(x.content), x.size)
if offsets is None:
offsets = my_offsets
elif not nplike.array_equal(offsets, my_offsets):
return False
elif isinstance(x, ak.layout.Content):
return False
else:
return True
def apply(inputs, depth, user):
nplike = ak.nplike.of(*inputs)
if numpy_to_regular:
inputs = [
x.toRegularArray() if isinstance(x, ak.layout.NumpyArray) else x
for x in inputs
]
if regular_to_jagged:
inputs = [
x.toListOffsetArray64(False)
if isinstance(x, ak.layout.RegularArray)
else x
for x in inputs
]
# handle implicit right-broadcasting (i.e. NumPy-like)
if right_broadcast and any(isinstance(x, listtypes) for x in inputs):
maxdepth = max(
x.purelist_depth for x in inputs if isinstance(x, ak.layout.Content)
)
if maxdepth > 0 and all(
x.purelist_isregular for x in inputs if isinstance(x, ak.layout.Content)
):
nextinputs = []
for obj in inputs:
if isinstance(obj, ak.layout.Content):
while obj.purelist_depth < maxdepth:
obj = ak.layout.RegularArray(obj, 1, len(obj))
nextinputs.append(obj)
if any(x is not y for x, y in zip(inputs, nextinputs)):
return apply(nextinputs, depth, user)
# now all lengths must agree
checklength([x for x in inputs if isinstance(x, ak.layout.Content)])
args = ()
if pass_depth:
args = args + (depth,)
if pass_user:
args = args + (user,)
custom = getfunction(inputs, *args)
if callable(custom):
return custom()
else:
user = custom
# the rest of this is one switch statement
if any(isinstance(x, virtualtypes) for x in inputs):
nextinputs = []
for x in inputs:
if isinstance(x, virtualtypes):
nextinputs.append(x.array)
else:
nextinputs.append(x)
return apply(nextinputs, depth, user)
elif any(isinstance(x, unknowntypes) for x in inputs):
nextinputs = []
for x in inputs:
if isinstance(x, unknowntypes):
nextinputs.append(
ak.layout.NumpyArray(nplike.array([], dtype=np.bool_))
)
else:
nextinputs.append(x)
return apply(nextinputs, depth, user)
elif any(isinstance(x, ak.layout.NumpyArray) and x.ndim > 1 for x in inputs):
nextinputs = []
for x in inputs:
if isinstance(x, ak.layout.NumpyArray) and x.ndim > 1:
nextinputs.append(x.toRegularArray())
else:
nextinputs.append(x)
return apply(nextinputs, depth, user)
elif any(isinstance(x, indexedtypes) for x in inputs):
nextinputs = []
for x in inputs:
if isinstance(x, indexedtypes):
nextinputs.append(x.project())
else:
nextinputs.append(x)
return apply(nextinputs, depth, user)
elif any(isinstance(x, uniontypes) for x in inputs):
tagslist = []
numtags = []
length = None
for x in inputs:
if isinstance(x, uniontypes):
tagslist.append(nplike.asarray(x.tags))
numtags.append(len(x.contents))
if length is None:
length = len(tagslist[-1])
elif length != len(tagslist[-1]):
raise ValueError(
"cannot broadcast UnionArray of length {0} "
"with UnionArray of length {1}".format(
length, len(tagslist[-1])
)
+ exception_suffix(__file__)
)
combos = nplike.stack(tagslist, axis=-1)
all_combos = nplike.array(
list(itertools.product(*[range(x) for x in numtags])),
dtype=[(str(i), combos.dtype) for i in range(len(tagslist))],
)
combos = combos.view(
[(str(i), combos.dtype) for i in range(len(tagslist))]
).reshape(length)
tags = nplike.empty(length, dtype=np.int8)
index = nplike.empty(length, dtype=np.int64)
numoutputs = None
outcontents = []
for tag, combo in enumerate(all_combos):
mask = combos == combo
tags[mask] = tag
index[mask] = nplike.arange(nplike.count_nonzero(mask))
nextinputs = []
i = 0
for x in inputs:
if isinstance(x, uniontypes):
nextinputs.append(x[mask].project(combo[str(i)]))
i += 1
elif isinstance(x, ak.layout.Content):
nextinputs.append(x[mask])
else:
nextinputs.append(x)
outcontents.append(apply(nextinputs, depth, user))
assert isinstance(outcontents[-1], tuple)
if numoutputs is not None:
assert numoutputs == len(outcontents[-1])
numoutputs = len(outcontents[-1])
assert numoutputs is not None
tags = ak.layout.Index8(tags)
index = ak.layout.Index64(index)
return tuple(
ak.layout.UnionArray8_64(
tags, index, [x[i] for x in outcontents]
).simplify()
for i in range(numoutputs)
)
elif any(isinstance(x, optiontypes) for x in inputs):
mask = None
for x in inputs:
if isinstance(x, optiontypes):
m = nplike.asarray(x.bytemask()).view(np.bool_)
if mask is None:
mask = m
else:
nplike.bitwise_or(mask, m, out=mask)
nextmask = ak.layout.Index8(mask.view(np.int8))
index = nplike.full(len(mask), -1, dtype=np.int64)
index[~mask] = nplike.arange(
len(mask) - nplike.count_nonzero(mask), dtype=np.int64
)
index = ak.layout.Index64(index)
if any(not isinstance(x, optiontypes) for x in inputs):
nextindex = nplike.arange(len(mask), dtype=np.int64)
nextindex[mask] = -1
nextindex = ak.layout.Index64(nextindex)
nextinputs = []
for x in inputs:
if isinstance(x, optiontypes):
nextinputs.append(x.project(nextmask))
elif isinstance(x, ak.layout.Content):
nextinputs.append(
ak.layout.IndexedOptionArray64(nextindex, x).project(nextmask)
)
else:
nextinputs.append(x)
outcontent = apply(nextinputs, depth, user)
assert isinstance(outcontent, tuple)
return tuple(
ak.layout.IndexedOptionArray64(index, x).simplify() for x in outcontent
)
elif any(isinstance(x, listtypes) for x in inputs):
if all(
isinstance(x, ak.layout.RegularArray) or not isinstance(x, listtypes)
for x in inputs
):
maxsize = max(
[x.size for x in inputs if isinstance(x, ak.layout.RegularArray)]
)
for x in inputs:
if isinstance(x, ak.layout.RegularArray):
if maxsize > 1 and x.size == 1:
tmpindex = ak.layout.Index64(
nplike.repeat(
nplike.arange(len(x), dtype=np.int64), maxsize
)
)
nextinputs = []
for x in inputs:
if isinstance(x, ak.layout.RegularArray):
if maxsize > 1 and x.size == 1:
nextinputs.append(
ak.layout.IndexedArray64(
tmpindex, x.content[: len(x) * x.size]
).project()
)
elif x.size == maxsize:
nextinputs.append(x.content[: len(x) * x.size])
else:
raise ValueError(
"cannot broadcast RegularArray of size "
"{0} with RegularArray of size {1}".format(
x.size, maxsize
)
+ exception_suffix(__file__)
)
else:
nextinputs.append(x)
outcontent = apply(nextinputs, depth + 1, user)
assert isinstance(outcontent, tuple)
length = None
for x in inputs:
if isinstance(x, ak.layout.Content):
if length is None:
length = len(x)
else:
assert length == len(x)
assert length is not None
return tuple(
ak.layout.RegularArray(x, maxsize, length) for x in outcontent
)
elif not all_same_offsets(nplike, inputs):
fcns = [
custom_broadcast(x, behavior)
if isinstance(x, ak.layout.Content)
else None
for x in inputs
]
first, secondround = None, False
for x, fcn in zip(inputs, fcns):
if (
isinstance(x, listtypes)
and not isinstance(x, ak.layout.RegularArray)
and fcn is None
):
first = x
break
if first is None:
secondround = True
for x in inputs:
if isinstance(x, listtypes) and not isinstance(
x, ak.layout.RegularArray
):
first = x
break
offsets = first.compact_offsets64(True)
nextinputs = []
for x, fcn in zip(inputs, fcns):
if callable(fcn) and not secondround:
nextinputs.append(fcn(x, offsets))
elif isinstance(x, listtypes):
nextinputs.append(x.broadcast_tooffsets64(offsets).content)
# handle implicit left-broadcasting (unlike NumPy)
elif left_broadcast and isinstance(x, ak.layout.Content):
nextinputs.append(
ak.layout.RegularArray(x, 1, len(x))
.broadcast_tooffsets64(offsets)
.content
)
else:
nextinputs.append(x)