//
// Synopsis:
// Combine(gen1, gen2, ..., genN)
//   - returns a generator producing sequences with elements coming from
//     the Cartesian product of elements from the sequences generated by
//     gen1, gen2, ..., genN. The sequence elements will have a type of
//     tuple<T1, T2, ..., TN> where T1, T2, ..., TN are the types
//     of elements from sequences produces by gen1, gen2, ..., genN.
//

//
// Synopsis:
// Combine(gen1, gen2, ..., genN)
//   - returns a generator producing sequences with elements coming from
//     the Cartesian product of elements from the sequences generated by
//     gen1, gen2, ..., genN. The sequence elements will have a type of
//     tuple<T1, T2, ..., TN> where T1, T2, ..., TN are the types
//     of elements from sequences produces by gen1, gen2, ..., genN.
//

      %add1 = "tf.Add"(%str, %arg3) : (tensor<!tf_type.string>, tensor<!tf_type.string>) -> tensor<!tf_type.string>
      // CHECK: %{{.*}}, %[[CONTROL3:[^ ,]*]] = tf_executor.island wraps "tf.GeneratorDataset"
      %gen1 = "tf.GeneratorDataset"(%str, %arg0, %arg1, %arg2, %arg3) {
        finalize_func = @__finalize_func_790,
        init_func = @__init_func_530, next_func = @__next_func_680,
        next_func.experimental_ints_on_device = true,

      %add1 = "tf.Add"(%str, %arg3) : (tensor<!tf_type.string>, tensor<!tf_type.string>) -> tensor<!tf_type.string>
      // CHECK: tf_executor.island(%[[CONTROL]]) wraps "tf.GeneratorDataset"
      %gen1 = "tf.GeneratorDataset"(%str, %arg0, %arg1, %arg2, %arg3) {
        finalize_func = @__finalize_func_790,
        init_func = @__init_func_530, next_func = @__next_func_680,
        next_func.experimental_ints_on_device = true,

//
// Synopsis:
// Combine(gen1, gen2, ..., genN)
//   - returns a generator producing sequences with elements coming from
//     the Cartesian product of elements from the sequences generated by
//     gen1, gen2, ..., genN. The sequence elements will have a type of
//     tuple<T1, T2, ..., TN> where T1, T2, ..., TN are the types
//     of elements from sequences produces by gen1, gen2, ..., genN.
//

//
// Synopsis:
// Combine(gen1, gen2, ..., genN)
//   - returns a generator producing sequences with elements coming from
//     the Cartesian product of elements from the sequences generated by
//     gen1, gen2, ..., genN. The sequence elements will have a type of
//     tuple<T1, T2, ..., TN> where T1, T2, ..., TN are the types
//     of elements from sequences produces by gen1, gen2, ..., genN.
//

  compressDashboard "pilot-dashboard.gen.json"
  compressDashboard "istio-performance-dashboard.json"
  compressDashboard "istio-workload-dashboard.json"
  compressDashboard "istio-service-dashboard.json"
  compressDashboard "istio-mesh-dashboard.json"
  compressDashboard "istio-extension-dashboard.json"
  compressDashboard "ztunnel-dashboard.gen.json"
  echo -e "\n---\n"

// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

//go:build ignore

// This program generates md5block.go
// Invoke as
//
//	go run gen.go -output md5block.go

package main

import (
	"bytes"
	"flag"
	"go/format"
	"log"
	"os"
	"strings"
	"text/template"
)

-- expect --
FAILURE "expected a proc but didn't have one"
-- trace --
Trace Go1.22
EventBatch gen=1 m=0 time=0 size=5
Frequency freq=15625000
EventBatch gen=1 m=0 time=0 size=5
GoCreate dt=0 new_g=1 new_stack=0 stack=0

)

func main() {
	testgen.Main(gen)
}

func gen(t *testgen.Trace) {
	// A running goroutine emits a task begin.
	t.RawEvent(go122.EvEventBatch, nil, 1 /*gen*/, 0 /*thread ID*/, 0 /*timestamp*/, 5 /*batch length*/)
	t.RawEvent(go122.EvFrequency, nil, 15625000)

	// A running goroutine emits a task begin.
	t.RawEvent(go122.EvEventBatch, nil, 1 /*gen*/, 0 /*thread ID*/, 0 /*timestamp*/, 5 /*batch length*/)