fsMap := make(map[string]*flowcontrol.FlowSchema, len(newFSs))
	var haveExemptFS, haveCatchAllFS bool
	for i, fs := range newFSs {
		otherFS := fsMap[fs.Name]
		if otherFS != nil {
			// This client is forbidden to do this.
			panic(fmt.Sprintf("Given two FlowSchema objects with the same name: %s and %s", fcfmt.Fmt(otherFS), fcfmt.Fmt(fs)))
		}
		fsMap[fs.Name] = fs

  }];
}

def MapFnOp : TensorflowMlrt_Op<"map_fn", [AttrSizedOperandSegments, Pure]> {
  let summary = "The Parallel Map for tf_mlrt dialect";
  let description = [{
    The Pmap executes body function in parallel for all ranges up to $max_iterations.

    The pseudo code:
      for(int i = 0; i < $max_iterations; i++) {
        body_fn(MlrtFture($tensor_list_or_flow_in[i]),

	PUint32  *uint32
	PUint64  *uint64
	PUintptr *uintptr
	PFloat32 *float32
	PFloat64 *float64

	String  string
	PString *string

	Map   map[string]Small
	MapP  map[string]*Small
	PMap  *map[string]Small
	PMapP *map[string]*Small

	EmptyMap map[string]Small
	NilMap   map[string]Small

	Slice   []Small
	SliceP  []*Small
	PSlice  *[]Small
	PSliceP *[]*Small

}

// resolveEmbed resolves //go:embed patterns to precise file lists.
// It sets files to the list of unique files matched (for go list),
// and it sets pmap to the more precise mapping from
// patterns to files.
func resolveEmbed(pkgdir string, patterns []string) (files []string, pmap map[string][]string, err error) {
	var pattern string
	defer func() {
		if err != nil {
			err = &EmbedError{
				Pattern: pattern,

			headerMap[hkey] = hvalueMatch
		}

		// set QueryParams
		QPMap := make(map[string]string)
		for qpkey, qpvalue := range match.QueryParams {
			qpvalueExact := qpvalue.GetExact()
			qpvaluePrefix := qpvalue.GetPrefix()
			qpvalueMatch := assignExactOrPrefix(qpvalueExact, qpvaluePrefix)
			QPMap[qpkey] = qpvalueMatch
		}

		// set WithoutHeaders
		noHeaderMap := make(map[string]string)

return'#'+key;},removeKey:function(key){if(key=this._parseKey(key)){this._removeFromMap(this.store[key]);delete...