import java.util.ArrayList;
import java.util.Collection;
import java.util.Comparator;
import java.util.List;

public class ChildMapFactory {
    /**
     * If a node has fewer children, we use a linear search for the child.
     * We use this limit since {@link VfsRelativePath#compareToFirstSegment(String, CaseSensitivity)}
     * is about twice as slow as {@link VfsRelativePath#hasPrefix(String, CaseSensitivity)},

        }

        // Note, that the potential side effect of the transformed provider
        // is going to be executed before this fixed side effect.
        // It is not possible to preserve linear execution order in the general case,
        // as the transformed provider can have side effects hidden under other wrapping providers.
        return Providers.internal(transformedProvider).withSideEffect(SideEffect.fixedFrom(value));

#include "xla/service/hlo.pb.h"
#include "tensorflow/core/platform/path.h"
#include "tensorflow/core/public/session.h"

namespace tensorflow {
namespace {

// Creates a float tensor of linearly increasing values, starting from offset.
Tensor CreateInputTensor(const TensorShape& shape, float offset) {
  Tensor tensor(DT_FLOAT, shape);
  for (int64 i = 0; i < tensor.flat<float>().size(); ++i) {

  mutex_lock lock(mu_);
  if (!definition_event_) {
    return;
  }

  // The set of defined streams is expected to be very small indeed (usually
  // 1-2), so a simple linear scan should be fast enough.
  if (std::find(streams_defined_on_.begin(), streams_defined_on_.end(),
                stream) != streams_defined_on_.end()) {
    // stream is in streams_defined_on_; it doesn't need to be waited on.

		"articles",
	}
	if len(children) != 32 {
		panic("bad len")
	}
	for _, n := range []int{2, 4, 8, 16, 32} {
		list := children[:n]
		b.Run(fmt.Sprintf("n=%d", n), func(b *testing.B) {

			b.Run("rep=linear", func(b *testing.B) {
				var entries []entry[string, any]
				for _, c := range list {
					entries = append(entries, entry[string, any]{c, nil})
				}
				b.ResetTimer()
				for i := 0; i < b.N; i++ {

// a bit vector with (length of input) * (length of prog) bits,
// to make sure it never explores the same (character position, instruction)
// state multiple times. This limits the search to run in time linear in
// the length of the test.
//
// backtrack is a fast replacement for the NFA code on small
// regexps when onepass cannot be used.

package regexp

import (
	"regexp/syntax"
	"sync"
)

		t1 := time.Now()
		f(n)
		return time.Since(t1)
	}

	t0 := time.Now()

	n := tries
	fails := 0
	for {
		t1 := timeF(n)
		t2 := timeF(2 * n)

		// should be 2x (linear); allow up to 3x
		if t2 < 3*t1 {
			if false {
				fmt.Println(typ, "\t", time.Since(t0))
			}
			return
		}
		// If n ops run in under a second and the ratio

	// from https://en.wikipedia.org/wiki/UTF-16
	{'\u007A', false},     // LATIN SMALL LETTER Z
	{'\u6C34', false},     // CJK UNIFIED IDEOGRAPH-6C34 (water)
	{'\uFEFF', false},     // Byte Order Mark
	{'\U00010000', false}, // LINEAR B SYLLABLE B008 A (first non-BMP code point)
	{'\U0001D11E', false}, // MUSICAL SYMBOL G CLEF
	{'\U0010FFFD', false}, // PRIVATE USE CHARACTER-10FFFD (last Unicode code point)

	{rune(0xd7ff), false}, // surr1-1

				if r == r1 {
					return 0
				}
			}
		}
		return noMatch

	case 2:
		if r >= rune[0] && r <= rune[1] {
			return 0
		}
		return noMatch

	case 4, 6, 8:
		// Linear search for a few pairs.
		// Should handle ASCII well.
		for j := 0; j < len(rune); j += 2 {
			if r < rune[j] {
				return noMatch
			}
			if r <= rune[j+1] {
				return j / 2
			}
		}

			// No UTF-8 or non-ASCII allowed in tokens.
			return false
		}
		if lowerASCII(byte(b)) != lowerASCII(t2[i]) {
			return false
		}
	}
	return true
}

// isLWS reports whether b is linear white space, according
// to http://www.w3.org/Protocols/rfc2616/rfc2616-sec2.html#sec2.2
//
//	LWS            = [CRLF] 1*( SP | HT )
func isLWS(b byte) bool { return b == ' ' || b == '\t' }