// the function. However, if this function refers to a
		// non-split-stack function, which will happen if the
		// cgo code refers to a C function not compiled with
		// -fsplit-stack, then the linker will think that it
		// needs to adjust the split stack prologue, but there
		// won't be one. Marking the function explicitly
		// no_split_stack works around this problem by telling

be converted to int32 internally.

Or a list of rank 1 Tensors specifying the row splits for splitting
embedding_indices and aggregation_weights into rows. It corresponds to
ids.row_splits in embedding_lookup(), when ids is a RaggedTensor. When
enqueuing N-D ragged tensor, only the last dimension is allowed to be ragged.
the row splits is 1-D dense tensor. When empty, we assume a dense tensor is

		v.SetLen(len(b))
		if len(b) > 0 {
			v.Base = &b[0]
		} else {
			v.Base = (*byte)(unsafe.Pointer(&_zero))
		}
		vecs = append(vecs, v)
	}
	return vecs
}

// offs2lohi splits offs into its low and high order bits.
func offs2lohi(offs int64) (lo, hi uintptr) {
	const longBits = SizeofLong * 8

			// type alias
			spec.Assign = p.pos
			p.next()
		}
		spec.Type = p.parseType()
	}

	spec.Comment = p.expectSemi()

	return spec
}

// extractName splits the expression x into (name, expr) if syntactically
// x can be written as name expr. The split only happens if expr is a type
// element (per the isTypeElem predicate) or if force is set.

	return p
}

// signExtend sign extends val starting at bit bit.
func signExtend(val int64, bit uint) int64 {
	return val << (64 - bit) >> (64 - bit)
}

// Split32BitImmediate splits a signed 32-bit immediate into a signed 20-bit
// upper immediate and a signed 12-bit lower immediate to be added to the upper
// result. For example, high may be used in LUI and low in a following ADDI to

        `tf.keras.utils.image_dataset_from_directory`,`tf.keras.utils.text_dataset_from_directory`,
        and `audio_dataset_from_directory`, to be used with the
        `validation_split` argument, for returning both dataset splits at once,
        as a tuple.
    *   Added `tf.keras.utils.split_dataset` utility to split a `Dataset` object
        or a list/tuple of arrays into two `Dataset` objects (e.g. train/test).

  DenseIntElementsAttr split_sizes_attr;
  if (!matchPattern(op.getSizeSplits(), m_Constant(&split_sizes_attr)))
    return success();

  int64_t total_dim_size = 0;  // Total dimension size assigned to splits
  std::optional<int64_t> dynamic_dim_index;

  SmallVector<int64_t, 4> split_sizes;
  split_sizes.reserve(
      split_sizes_attr.getType().cast<ShapedType>().getNumElements());

			if !strings.HasPrefix(arg, "-g") {
				p.GccOptions = append(p.GccOptions, arg)
			}
		}
	}
	if flag == "LDFLAGS" {
		p.LdFlags = append(p.LdFlags, args...)
	}
}

// splitQuoted splits the string s around each instance of one or more consecutive
// white space characters while taking into account quotes and escaping, and
// returns an array of substrings of s or an empty list if s contains only white space.

  const int64_t base_inner_size =
      std::accumulate(base_inner_dims.begin(), base_inner_dims.end(), 1,
                      std::multiplies<int64_t>());

  // Splits each input operand into outer_size pieces and combines them in
  // round-robin ordering.
  std::vector<Attribute> out_attrs(output_type.getNumElements());
  int64_t out = 0;

	writeStatusLine(w.conn.bufw, w.req.ProtoAtLeast(1, 1), code, w.statusBuf[:])
	cw.header.WriteSubset(w.conn.bufw, excludeHeader)
	setHeader.Write(w.conn.bufw)
	w.conn.bufw.Write(crlf)
}

// foreachHeaderElement splits v according to the "#rule" construction
// in RFC 7230 section 7 and calls fn for each non-empty element.
func foreachHeaderElement(v string, fn func(string)) {
	v = textproto.TrimString(v)
	if v == "" {
		return