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TRef.py
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/
TRef.py
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# BSD 3-Clause License; see https://github.com/scikit-hep/uproot5/blob/main/LICENSE
"""
This module defines versionless models of ``TRef`` and ``TRefArray``.
"""
from __future__ import annotations
import struct
from collections.abc import Sequence
import numpy
import uproot
_tref_format1 = struct.Struct(">xxIxxxxxx")
# Note: https://github.com/root-project/root/blob/v6-26-08/io/doc/TFile/tref.md
# https://github.com/root-project/root/blob/v6-26-08/io/doc/TFile/trefarray.md
class Model_TRef(uproot.model.Model):
"""
A versionless :doc:`uproot.model.Model` for ``TRef``.
This model does not deserialize all fields, only the reference number.
"""
@property
def ref(self):
"""
The reference number as an integer.
"""
return self._ref
def read_numbytes_version(self, chunk, cursor, context):
pass
def read_members(self, chunk, cursor, context, file):
if self.is_memberwise:
raise NotImplementedError(
f"""memberwise serialization of {type(self).__name__}
in file {self.file.file_path}"""
)
self._ref = cursor.field(chunk, _tref_format1, context)
def __repr__(self):
return f"<TRef {self._ref}>"
@classmethod
def strided_interpretation(
cls, file, header=False, tobject_header=True, breadcrumbs=(), original=None
):
members = [(None, None)]
members.append(("@pidf", numpy.dtype(">u2")))
members.append(("ref", numpy.dtype(">u4")))
members.append(("@other1", numpy.dtype(">u2")))
members.append(("@other2", numpy.dtype(">u4")))
return uproot.interpretation.objects.AsStridedObjects(
cls, members, original=original
)
@classmethod
def awkward_form(cls, file, context):
awkward = uproot.extras.awkward()
contents = {}
if context["tobject_header"]:
contents["@pidf"] = uproot._util.awkward_form(
numpy.dtype("u2"), file, context
)
contents["ref"] = uproot._util.awkward_form(
numpy.dtype("u4"), file, context
)
contents["@other1"] = uproot._util.awkward_form(
numpy.dtype("u2"), file, context
)
contents["@other2"] = uproot._util.awkward_form(
numpy.dtype("u4"), file, context
)
return awkward.forms.RecordForm(
list(contents.values()),
list(contents.keys()),
parameters={"__record__": "TRef"},
)
_trefarray_format1 = struct.Struct(">i")
_trefarray_dtype = numpy.dtype(">i4")
class Model_TRefArray(uproot.model.Model, Sequence):
"""
A versionless :doc:`uproot.model.Model` for ``TRefArray``.
This also satisfies Python's abstract ``Sequence`` protocol.
"""
@property
def refs(self):
"""
The reference number as a ``numpy.ndarray`` of ``dtype(">i4")``.
"""
return self._data
@property
def nbytes(self):
"""
The number of bytes in :ref:`uproot.models.TRef.Model_TRefArray.refs`.
"""
return self._data.nbytes
@property
def name(self):
"""
The name of this TRefArray.
"""
return self._members["fName"]
def read_members(self, chunk, cursor, context, file):
forth_obj = uproot._awkwardforth.get_forth_obj(context)
if self.is_memberwise:
raise NotImplementedError(
f"""memberwise serialization of {type(self).__name__}
in file {self.file.file_path}"""
)
if forth_obj is not None:
key_number = uproot._awkwardforth.get_first_key_number(context)
keys = [key_number + i for i in range(6)]
forth_stash = uproot._awkwardforth.Node(
f"node{keys[0]} TRef :prebuilt",
form_details={
"class": "RecordArray",
"contents": {
"fName": {
"class": "ListOffsetArray",
"offsets": "i64",
"content": {
"class": "NumpyArray",
"primitive": "uint8",
"inner_shape": [],
"parameters": {"__array__": "char"},
"form_key": f"node{keys[2]}",
},
"parameters": {"__array__": "string"},
"form_key": f"node{keys[1]}",
},
"fSize": {
"class": "NumpyArray",
"primitive": "int32",
"inner_shape": [],
"parameters": {},
"form_key": f"node{keys[3]}",
},
"refs": {
"class": "ListOffsetArray",
"offsets": "i64",
"content": {
"class": "NumpyArray",
"primitive": "int32",
"inner_shape": [],
"parameters": {},
"form_key": f"node{keys[5]}",
},
"parameters": {},
"form_key": f"node{keys[4]}",
},
},
"parameters": {"__record__": "TRefArray"},
"form_key": f"node{keys[0]}",
},
)
forth_stash.pre_code.append("10 stream skip\n")
forth_stash.pre_code.append(
f"stream !B-> stack dup 255 = if drop stream !I-> stack then dup node{keys[1]}-offsets +<- stack stream #!B-> node{keys[2]}-data\n"
)
forth_stash.pre_code.append(
f"stream !I-> stack dup node{keys[3]}-data <- stack\n"
)
forth_stash.pre_code.append("6 stream skip\n")
forth_stash.pre_code.append(
f"dup node{keys[4]}-offsets +<- stack stream #!I-> node{keys[5]}-data\n"
)
forth_stash.header_code.append(
f"output node{keys[1]}-offsets int64\noutput node{keys[2]}-data uint8\noutput node{keys[3]}-data int32\noutput node{keys[4]}-offsets int64\noutput node{keys[5]}-data int32\n"
)
forth_stash.init_code.append(
f"0 node{keys[1]}-offsets <- stack\n0 node{keys[4]}-offsets <- stack\n"
)
forth_obj.add_node(forth_stash)
forth_obj.set_active_node(forth_stash)
cursor.skip(10)
self._members["fName"] = cursor.string(chunk, context)
self._members["fSize"] = cursor.field(chunk, _trefarray_format1, context)
cursor.skip(6)
self._data = cursor.array(
chunk, self._members["fSize"], _trefarray_dtype, context
)
def __getitem__(self, where):
return self._data[where]
def __len__(self):
return len(self._data)
def __repr__(self):
if self.class_version is None:
version = ""
else:
version = f" (version {self.class_version})"
return "<{}{} {} at 0x{:012x}>".format(
self.classname,
version,
numpy.array2string(
self._data,
max_line_width=numpy.inf,
separator=", ",
formatter={"float": lambda x: "%g" % x},
threshold=6,
),
id(self),
)
@classmethod
def awkward_form(cls, file, context):
awkward = uproot.extras.awkward()
contents = {}
contents["fName"] = uproot.containers.AsString(
False, typename="TString"
).awkward_form(file, context)
contents["fSize"] = uproot._util.awkward_form(numpy.dtype("i4"), file, context)
contents["refs"] = awkward.forms.ListOffsetForm(
context["index_format"],
uproot._util.awkward_form(numpy.dtype("i4"), file, context),
)
return awkward.forms.RecordForm(
list(contents.values()),
list(contents.keys()),
parameters={"__record__": "TRefArray"},
)
uproot.classes["TRef"] = Model_TRef
uproot.classes["TRefArray"] = Model_TRefArray