code: def arraytonumpyutf8(string_list: Union[str, np.ndarray]) -> bytes:
      """Encodes string Numpyarray  to utf-8 encoded numpy array.
  
      Args:
          string_list (np.ndarray): NumpyArray to be encoded
  
      Returns:
          bytes: serialized utf-8 encoded int Numpy array
      """
      array_shape = np.array(string_list).shape
      string_list = np.array(string_list).flatten()
      bytes_list = []
      indexes = []
      offset = 0
  
      for item in string_list:
          name_bytes = item.encode("utf-8")
          offset += len(name_bytes)
          indexes.append(offset)
          bytes_list.append(name_bytes)
  
      np_bytes = np.frombuffer(b"".join(bytes_list), dtype=np.uint8)
      np_bytes = np_bytes.astype(np.uint64)
      np_indexes = np.array(indexes, dtype=np.uint64)
      index_length = np.array([len(np_indexes)], dtype=np.uint64)
      shape = np.array(array_shape, dtype=np.uint64)
      shape_length = np.array([len(shape)], dtype=np.uint64)
      output_array = np.concatenate(
          [np_bytes, np_indexes, index_length, shape, shape_length]
      )
  
      return cast(bytes, _serialize(output_array, to_bytes=True))
  
file_path: PySyft/packages/syft/src/syft/serde/arrow.py
imports: from typing import Union
  from typing import cast
  import numpy
  import pyarrow
  from ..util.experimental_flags import ApacheArrowCompression
  from ..util.experimental_flags import flags
  from .deserialize import _deserialize
  from .serialize import _serialize
label_desc: Use image node_id 4 for calling a global function with example usage: arraytonumpyutf8(string_list) and returns: cast