code: def _read_ply_element_binary(
      f, definition: _PlyElementType, big_endian: bool
  ) -> list:
      """
      Decode all instances of a single element from a binary .ply file.
  
      Args:
          f: file-like object being read.
          definition: The element object which describes what we are reading.
          big_endian: (bool) whether the document is encoded as big endian.
  
      Returns:
          In simple cases where every element has the same size, 2D numpy array
          corresponding to the data. The rows are the different values.
          Otherwise a list of lists/tuples of values, where the outer list is
          each occurrence of the element, and the inner lists have one value per
          property.
      """
      if not definition.count:
          return []
  
      if definition.is_constant_type_fixed_size():
          return _read_ply_fixed_size_element_binary(
              f, definition, big_endian
          )
      if definition.is_fixed_size():
          return _read_ply_element_binary_nolists(
              f, definition, big_endian
          )
      if definition.try_constant_list():
          data = _try_read_ply_constant_list_binary(
              f, definition, big_endian
          )
          if data is not None:
              return data
  
      # We failed to read the element as a lump, must process each line manually.
      endian_str = ">" if big_endian else "<"
      property_structs = []
      for property in definition.properties:
          initial_type = property.list_size_type or property.data_type
          property_structs.append(
              struct.Struct(
                  endian_str + _PLY_TYPES[initial_type].struct_char
              )
          )
  
      data = []
      for _i in range(definition.count):
          datum = []
          for property, property_struct in zip(
              definition.properties, property_structs
          ):
              size = property_struct.size
              initial_data = f.read(size)
              if len(initial_data) != size:
                  raise ValueError(
                      "Not enough data for %s" % definition.name
                  )
              [initial] = property_struct.unpack(initial_data)
              if property.list_size_type is None:
                  datum.append(initial)
              else:
                  type_size = _PLY_TYPES[property.data_type].size
                  needed_bytes = type_size * initial
                  list_data = f.read(needed_bytes)
                  if len(list_data) != needed_bytes:
                      raise ValueError(
                          "Not enough data for %s" % definition.name
                      )
                  np_type = _PLY_TYPES[property.data_type].np_type
                  list_np = np.frombuffer(list_data, dtype=np_type)
                  if (sys.byteorder == "big") != big_endian:
                      list_np = list_np.byteswap()
                  datum.append(list_np)
          data.append(datum)
      return data
  
imports: import itertools
  import os
  import struct
  import sys
  import warnings
  from collections import namedtuple
  from dataclasses import asdict, dataclass
  from io import BytesIO, TextIOBase
  from typing import List, Optional, Tuple
  import numpy
  import torch
  from iopath.common.file_io import PathManager
  from pytorch3d.io.utils import _check_faces_indices, _make_tensor, _open_file, _read_image, PathOrStr
  from pytorch3d.renderer import TexturesUV, TexturesVertex
  from pytorch3d.structures import Meshes, Pointclouds
  from .pluggable_formats import endswith, MeshFormatInterpreter, PointcloudFormatInterpreter
label_desc: Use image node_id 10 for calling a global function with example usage: _read_ply_element_binary(f, definition, big_endian) and returns: data, list, _read_ply_fixed_size_element_binary, _read_ply_element_binary_nolists, data