computeInputsOutputs(ops, &inputs, &outputs);

  std::vector<Type> input_types;
  std::vector<Type> output_types;

  input_types.reserve(inputs.size());
  for (Value v : inputs) {
    input_types.push_back(v.getType());
  }
  output_types.reserve(outputs.size());
  for (Value v : outputs) {
    output_types.push_back(v.getType());
  }

  // Create the function.

// Copyright 2019 The Go Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

package codehost

import (
	"archive/zip"
	"context"
	"encoding/xml"
	"fmt"
	"io"
	"os"
	"path"
	"path/filepath"
	"strconv"
	"time"

	"cmd/go/internal/base"
)

func svnParseStat(rev, out string) (*RevInfo, error) {
	var log struct {
		Logentry struct {

// Copyright 2017 The Go Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

// Package language implements BCP 47 language tags and related functionality.
//
// The most important function of package language is to match a list of
// user-preferred languages to a list of supported languages.
// It alleviates the developer of dealing with the complexity of this process

/* Copyright 2017 The TensorFlow Authors. All Rights Reserved.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,

    return result;
  }
  std::vector<ParallelTensor*> parallel_inputs;
  std::vector<std::unique_ptr<ParallelTensor>> implicitly_broadcast_tensors;
  parallel_inputs.reserve(inputs.size());
  implicitly_broadcast_tensors.reserve(inputs.size());  // not tight
  for (const auto& input : inputs) {
    if (absl::holds_alternative<TFE_TensorHandle*>(input)) {
      if (operation_name == std::string("_EagerConst")) {

				},
			},
			"",
		},
	}

	for _, tc := range testCases {
		t.Run(tc.description, func(t *testing.T) {
			reserved, _ := convertReserved(&machineInfo, tc.systemReserved)
			if !reflect.DeepEqual(reserved, tc.systemReservedExpected) {
				t.Errorf("got %v, expected %v", reserved, tc.systemReservedExpected)
			}
		})
	}
}

func TestGetSystemReservedMemory(t *testing.T) {

		if v < 0x80 {
			pos += i + 1
			arr[i] = byte(v)
			break
		}
		arr[i] = 0x80 | byte(v)
		v >>= 7
	}
	buf.pos = pos
}

// varintReserve reserves enough space in buf to hold any varint.
//
// Space reserved this way can be filled in with the varintAt method.
func (buf *traceBuf) varintReserve() int {
	p := buf.pos
	buf.pos += traceBytesPerNumber
	return p
}

		allocator func(max int, rangeSpec string, reserved int) *AllocationBitmap
		max       int
		reserved  int
	}{
		{
			name:      "NewAllocationMap",
			allocator: NewAllocationMapWithOffset,
			max:       32,
			reserved:  0,
		},
		{
			name:      "NewAllocationMapWithOffset max < 16",
			allocator: NewAllocationMapWithOffset,
			max:       8,
			reserved:  0,
		},
		{

	testCases := []testStaticPolicy{
		{
			description:   "should fail, when machine does not have reserved memory for the system workloads",
			expectedError: fmt.Errorf("[memorymanager] you should specify the system reserved memory"),
		},
		{
			description: "should succeed, when at least one NUMA node has reserved memory",
			systemReserved: systemReservedMemory{
				0: map[v1.ResourceName]uint64{},

}

// userArenaChunkReserveBytes returns the amount of additional bytes to reserve for
// heap metadata.
func userArenaChunkReserveBytes() uintptr {
	// In the allocation headers experiment, we reserve the end of the chunk for
	// a pointer/scalar bitmap. We also reserve space for a dummy _type that
	// refers to the bitmap. The PtrBytes field of the dummy _type indicates how