import org.opensearch.action.admin.indices.alias.Alias;
import org.opensearch.action.admin.indices.alias.IndicesAliasesRequestBuilder;
import org.opensearch.action.admin.indices.alias.get.GetAliasesResponse;
import org.opensearch.action.admin.indices.create.CreateIndexResponse;
import org.opensearch.action.admin.indices.exists.indices.IndicesExistsResponse;
import org.opensearch.action.admin.indices.get.GetIndexResponse;

  %0 = "tfl.pseudo_sparse_const"() {compressed_data = dense<[1.0, 2.0, 0.5, 0.25,...

	indices, err := c.allocate(ctx, model)
	return len(indices) == len(c.requests), err
}

func (c *Controller) Allocate(ctx context.Context, model Model) ([]*resourceapi.NamedResourcesAllocationResult, error) {
	indices, err := c.allocate(ctx, model)
	if err != nil {
		return nil, err
	}
	if len(indices) != len(c.requests) {
		return nil, errors.New("insufficient resources")

import org.codelibs.fess.suggest.util.SuggestUtil;
import org.opensearch.action.admin.indices.analyze.AnalyzeAction;
import org.opensearch.action.admin.indices.analyze.AnalyzeAction.AnalyzeToken;
import org.opensearch.action.admin.indices.exists.indices.IndicesExistsResponse;
import org.opensearch.action.admin.indices.settings.get.GetSettingsResponse;
import org.opensearch.action.search.SearchResponse;

  %0 = "tfl.pseudo_sparse_const"() {compressed_data = dense<[1.0, 2.0, 0.5, 0.25,...

//
// Eg 1. An update in canonical form:
//  * indices shape(A,B,C)
//  * updates shape(A,B,D,E,F)
// Then:
//  * D,E,F are the update window dims [2,3,4]
//  * C is the index vector dimension
//  * A,B iterate over the updates and indices
//
// If `update_window_dims` are not the trailing dimensions then updates must be
// transposed.
//
// Eg 2. An update in non-canonical form:
//  * indices shape(a,b,c)
//  * updates shape(d,e,f,a,b)

  let summary = "get a tensor in resource array";

  let description = [{
    Get a tensor in resource array.

    indices: the indices in the resource array.
    results: the tensor values for the corresponding indices.
  }];

  let arguments = (ins
    I64ArrayAttr:$indices
  );

  let results = (outs
    Variadic<TFTensorType>:$results
  );

  let assemblyFormat = "attr-dict `:` type($results)";

	case *ast.IndexExpr:
		return &IndexExpr{
			Orig:    e,
			X:       e.X,
			Lbrack:  e.Lbrack,
			Indices: []ast.Expr{e.Index},
			Rbrack:  e.Rbrack,
		}
	case *ast.IndexListExpr:
		return &IndexExpr{
			Orig:    e,
			X:       e.X,
			Lbrack:  e.Lbrack,
			Indices: e.Indices,
			Rbrack:  e.Rbrack,
		}
	}
	return nil

		// indices in the first place (if it returned fewer than that then
		// there cannot be more).
		for n1 := n; ; n1 += 2 * (n - len(result)) /* overflow ok */ {
			indices := x.Lookup(lit, n1)
			if len(indices) == 0 {
				return
			}
			slices.Sort(indices)
			pairs := make([]int, 2*len(indices))
			result = make([][]int, len(indices))
			count := 0
			prev := 0

		return e.X, e.Lbrack, e.Indices, e.Rbrack
	}
	return nil, token.NoPos, nil, token.NoPos
}

// PackIndexExpr returns an *ast.IndexExpr or *ast.IndexListExpr, depending on
// the cardinality of indices. Calling PackIndexExpr with len(indices) == 0
// will panic.
func PackIndexExpr(x ast.Expr, lbrack token.Pos, indices []ast.Expr, rbrack token.Pos) ast.Expr {
	switch len(indices) {
	case 0:
		panic("empty indices")