def array_to_jsbuffer(array):
  """Serialize 1d NumPy array to JS TypedArray.

  Data is serialized to base64-encoded string, which is much faster
  and memory-efficient than json list serialization.

  Args:
    array: 1d NumPy array, dtype must be one of JS_ARRAY_TYPES.

  Returns:
    JS code that evaluates to a TypedArray as string.

  Raises:
    TypeError: if array dtype or shape not supported.
  """
  if array.ndim != 1:
    raise TypeError('Only 1d arrays can be converted JS TypedArray.')
  if array.dtype.name not in JS_ARRAY_TYPES:
    raise TypeError('Array dtype not supported by JS TypedArray.')
  js_type_name = array.dtype.name.capitalize() + 'Array'
  data_base64 = base64.b64encode(array.tobytes()).decode('ascii')
  code = """
    (function() {
      const data = atob("%s");
      const buf = new Uint8Array(data.length);
      for (var i=0; i<data.length; ++i) {
        buf[i] = data.charCodeAt(i);
      }
      var array_type = %s;
      if (array_type == Uint8Array) {
        return buf;
      }
      return new array_type(buf.buffer);
    })()
  """ % (data_base64, js_type_name)
  return code
Serialize 1d NumPy array to JS TypedArray.

  Data is serialized to base64-encoded string, which is much faster
  and memory-efficient than json list serialization.

  Args:
    array: 1d NumPy array, dtype must be one of JS_ARRAY_TYPES.

  Returns:
    JS code that evaluates to a TypedArray as string.

  Raises:
    TypeError: if array dtype or shape not supported.