// RUN: tf-opt -tfl-split-merged-operands %s | FileCheck %s

func.func @testSingleLstm(%arg0: tensor<4x4xf32>, %arg1: tensor<4xf32>, %arg2: tensor<4x4x4xf32>) -> tensor<4x4x4xf32> {
  // CHECK-LABEL: testSingleLstm
  // CHECK-DAG:  %[[CST_0:.*]] = "tfl.pseudo_const"() <{value = dense<0.000000e+00> : tensor<4x4xf32>}> : () -> tensor<4x4xf32>
  // CHECK-DAG:  %[[CST_1:.*]] = "tfl.pseudo_const"() <{value = dense<0.000000e+00> : tensor<4x4xf32>}> : () -> tensor<4x4xf32>

    return strategy.iterator(this, sequence);
  }

  /**
   * Splits {@code sequence} into string components and returns them as an immutable list. If you
   * want an {@link Iterable} which may be lazily evaluated, use {@link #split(CharSequence)}.
   *
   * @param sequence the sequence of characters to split
   * @return an immutable list of the segments split from the parameter
   * @since 15.0
   */

    return strategy.iterator(this, sequence);
  }

  /**
   * Splits {@code sequence} into string components and returns them as an immutable list. If you
   * want an {@link Iterable} which may be lazily evaluated, use {@link #split(CharSequence)}.
   *
   * @param sequence the sequence of characters to split
   * @return an immutable list of the segments split from the parameter
   * @since 15.0
   */

        `tf.sparse.cross`/`tf.ragged.cross` directly.
    *   Added additional `standardize` and `split` modes to `TextVectorization`:
        *   `standardize="lower"` will lowercase inputs.
        *   `standardize="string_punctuation"` will remove all punctuation.
        *   `split="character"` will split on every unicode character.
    *   Added an `output_mode` argument to the `Discretization` and `Hashing`

	return genSplit(s, sep, len(sep), n)
}

// Split slices s into all substrings separated by sep and returns a slice of
// the substrings between those separators.
//
// If s does not contain sep and sep is not empty, Split returns a
// slice of length 1 whose only element is s.
//
// If sep is empty, Split splits after each UTF-8 sequence. If both s
// and sep are empty, Split returns an empty slice.
//

            // Looks like on Linux:
            // _main t 0 0
            //
            // Looks like on Windows (MinGW):
            // main T 0000000000401550
            def splits = line.split(' ')
            String name = splits[0]
            char type = splits[1].getChars()[0]
            return new BinaryInfo.Symbol(name, type, Character.isUpperCase(type))
        }
    }

	}
	for _, v := range os.Environ() {
		if !strings.HasPrefix(v, "MINIO") && !strings.HasPrefix(v, "_MINIO") {
			continue
		}
		split := strings.SplitN(v, "=", 2)
		key := split[0]
		value := ""
		if len(split) > 1 {
			value = split[1]
		}

		// Do not send sensitive creds.

			currentLen = runeLen
		}
	}
	io.WriteString(w, s[last:])
	w.Close()
}

// qEncode encodes s using Q encoding and writes it to buf. It splits the
// encoded-words when necessary.
func (e WordEncoder) qEncode(buf *strings.Builder, charset, s string) {
	// We only split encoded-words when the charset is UTF-8.
	if !isUTF8(charset) {
		writeQString(buf, s)
		return
	}

	var currentLen, runeLen int

  split_ops_for_tiled_input.reserve(
      input_sharding.tile_assignment_devices_size());

  // Creates a tree of split nodes for sharding tiled inputs. Splits nodes
  // are created such that input data is sharded in row major order.
  // Split nodes at ith depth from the original input node represent nodes
  // that split the input data at i-th dimension.
  auto dimension_to_splits_map =

	return l.rank
}

// lockWithRank is like lock(l), but allows the caller to specify a lock rank
// when acquiring a non-static lock.
//
// Note that we need to be careful about stack splits:
//
// This function is not nosplit, thus it may split at function entry. This may
// introduce a new edge in the lock order, but it is no different from any
// other (nosplit) call before this call (including the call to lock() itself).
//