* given collection in the order returned by the collection's iterator.
   *
   * @param collection the elements that the set should contain
   * @return a new {@code CompactLinkedHashSet} containing those elements (minus duplicates)
   */
  public static <E extends @Nullable Object> CompactLinkedHashSet<E> create(
      Collection<? extends E> collection) {
    CompactLinkedHashSet<E> set = createWithExpectedSize(collection.size());

   * This method loads entire response body into memory. If the response body is very large this
   * may trigger an [OutOfMemoryError]. Prefer to stream the response body if this is a
   * possibility for your response.
   */
  @Throws(IOException::class)
  fun bytes() = commonBytes()

  /**
   * Returns the response as a [ByteString].
   *
   * This method loads entire response body into memory. If the response body is very large this

        getFs().sync(spec -> {
            spec.from(kotlinDslExtensionsJar, zip -> zip.include("**/*.kt"));
            spec.into(getGeneratedSources());
        });
        getFs().sync(spec -> {
            spec.from(kotlinDslExtensionsJar, zip -> zip.include("**/*.class"));
            spec.into(getGeneratedClasses());
        });
    }

    private File getKotlinDslExtensionsJar() {
        return getOnlyElement(

// Copyright (c) 2015-2021 MinIO, Inc.
//
// This file is part of MinIO Object Storage stack
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License as published by
// the Free Software Foundation, either version 3 of the License, or
// (at your option) any later version.
//
// This program is distributed in the hope that it will be useful

  // Returns a map from variable names to their shapes.  Slices of a partitioned
  // tensor are combined into a single entry.
  const TensorSliceReader::VarToShapeMap& GetVariableToShapeMap() const;

  // Returns a map from variable names to their data types.  Slices of a
  // partitioned tensor are combined into a single entry.
  const TensorSliceReader::VarToDataTypeMap& GetVariableToDataTypeMap() const;

      return bigDecimal.signum();
    }

    @Override
    BigDecimal toX(double d, RoundingMode mode) {
      return new BigDecimal(d);
    }

    @Override
    BigDecimal minus(BigDecimal a, BigDecimal b) {
      return a.subtract(b);
    }
  }

    # Consider using larger runners or machines with greater resources for possible analysis time improvements.
    runs-on: ${{ (matrix.language == 'swift' && 'macos-latest') || 'ubuntu-latest' }}
    timeout-minutes: ${{ (matrix.language == 'swift' && 120) || 360 }}
    permissions:
      # required for all workflows
      security-events: write

      # required to fetch internal or private CodeQL packs
      packages: read

package grid

import (
	"context"
	"encoding/hex"
	"errors"
	"fmt"
	"strings"
	"sync"

	"github.com/minio/minio/internal/hash/sha256"
	xioutil "github.com/minio/minio/internal/ioutil"
	"github.com/tinylib/msgp/msgp"
)

//go:generate stringer -type=HandlerID -output=handlers_string.go -trimprefix=Handler msg.go $GOFILE

 */
@Deprecated(since = "4.0.0")
public interface ProfileSelector {

    /**
     * Determines the profiles which are active in the specified activation context. Active profiles will eventually be
     * injected into the model.
     *
     * @param profiles The profiles whose activation status should be determined, must not be {@code null}.

        fn_body->graph.IsValidOutputTensor(node, idx),
        "Encountered while processing input ", i, " into function '", fn_name,
        "'");
    TF_RETURN_WITH_CONTEXT_IF_ERROR(ValidateNonRefOutput(node, idx),
                                    "Encountered while processing input ", i,
                                    " into function '", fn_name, "'");

    input_tensors->emplace_back(node, idx);