code: def _try_read_ply_constant_list_binary(
      f, definition: _PlyElementType, big_endian: bool
  ):
      """
      If definition is an element which is a single list, attempt to read the
      corresponding data assuming every value has the same length.
      If the data is ragged, return None and leave f undisturbed.
  
      For example, if the element is
  
          element face 2
          property list uchar int vertex_index
  
      and the data is
  
          4 0 1 2 3
          4 7 6 5 4
  
      then the function will return
  
          [[0, 1, 2, 3],
           [7, 6, 5, 4]]
  
      but if the data is
  
          4 0 1 2 3
          3 6 5 4
  
      then the function will return None.
  
      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:
          If every element has the same size, 2D numpy array corresponding to the
          data. The rows are the different values. Otherwise None.
      """
      property = definition.properties[0]
      endian_str = ">" if big_endian else "<"
      length_format = (
          endian_str + _PLY_TYPES[property.list_size_type].struct_char
      )
      length_struct = struct.Struct(length_format)
  
      def get_length():
          bytes_data = f.read(length_struct.size)
          if len(bytes_data) != length_struct.size:
              raise ValueError(
                  "Not enough data for %s." % definition.name
              )
          [length] = length_struct.unpack(bytes_data)
          return length
  
      old_offset = f.tell()
  
      length = get_length()
      np_type = _PLY_TYPES[definition.properties[0].data_type].np_type
      type_size = _PLY_TYPES[definition.properties[0].data_type].size
      data_size = type_size * length
  
      output = np.zeros((definition.count, length), dtype=np_type)
  
      for i in range(definition.count):
          bytes_data = f.read(data_size)
          if len(bytes_data) != data_size:
              raise ValueError(
                  "Not enough data for %s" % definition.name
              )
          output[i] = np.frombuffer(bytes_data, dtype=np_type)
          if i + 1 == definition.count:
              break
          if length != get_length():
              f.seek(old_offset)
              return None
      if (sys.byteorder == "big") != big_endian:
          output = output.byteswap()
  
      return output
  
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 9 for calling a global function with example usage: _try_read_ply_constant_list_binary(f, definition, big_endian) and returns: output, length, None