%0 = "tf.Conv2D"(%output, %cst) <{data_format = "NHWC", dilations = [1, 1, 1, 1], explicit_paddings = [], padding = "SAME", strides = [1, 2, 2, 1], use_cudnn_on_gpu = true}> {attr_map = "0:strides,1:use_cudnn_on_gpu,2:padding,3:explicit_paddings,4:dilations", device = ""} : (tensor<1x3x4x3xf32>, tensor<2x3x3x2xf32>) -> tensor<1x2x2x2xf32>

	// 12: 9 | fib(x - 1)          | value   : int
	// 12: 9 | fib(x-1) - fib(x-2) | value   : int
	// 12:13 | x                   | var     : int
	// 12:13 | x - 1               | value   : int
	// 12:15 | 1                   | value   : int = 1
	// 12:20 | fib                 | value   : func(x int) int
	// 12:20 | fib(x - 2)          | value   : int
	// 12:24 | x                   | var     : int

  %250 = "tf.Max"(%249, %15) {device = "", keep_dims = false} : (tensor<?xi32>, tensor<1xi32>) -> tensor<i32>
  %251 = "tf.Maximum"(%14, %250) {device = ""} : (tensor<i32>, tensor<i32>) -> tensor<i32>
  %252 = "tf.Range"(%14, %251, %7) {device = ""} : (tensor<i32>, tensor<i32>, tensor<i32>) -> tensor<?xi32>
  %253 = "tf.Pack"(%7, %251) {axis = 0 : i64, device = ""} : (tensor<i32>, tensor<i32>) -> tensor<2xi32>

000001c0  44 48 bc 59 13 83 16 04  88 a4 81 5c 25 0d 98 0c  |DH.Y.......\%...|
000001d0  ac 11 b1 28 56 be 1d cd  61 62 84 09 bf d6 80 c6  |...(V...ab......|
000001e0  45 8d 82 2c b4 d8 83 9b  db c9 22 b7 2a 12 11 7b  |E..,......".*..{|
000001f0  fa 02 3b c1 c9 ff ea c9  9d a8 49 d3 95 d7 d5 0e  |..;.......I.....|
00000200  e5 35 16 03 03 00 25 10  00 00 21 20 2f e5 7d a3  |.5....%...! /.}.|

000001c0  44 48 bc 59 13 83 16 04  88 a4 81 5c 25 0d 98 0c  |DH.Y.......\%...|
000001d0  ac 11 b1 28 56 be 1d cd  61 62 84 09 bf d6 80 c6  |...(V...ab......|
000001e0  45 8d 82 2c b4 d8 83 9b  db c9 22 b7 2a 12 11 7b  |E..,......".*..{|
000001f0  fa 02 3b c1 c9 ff ea c9  9d a8 49 d3 95 d7 d5 0e  |..;.......I.....|
00000200  e5 35 16 03 03 00 25 10  00 00 21 20 2f e5 7d a3  |.5....%...! /.}.|

k8s.io/gengo/v2 v2.0.0-20240228010128-51d4e06bde70/go.mod h1:VH3AT8AaQOqiGjMF9p0/IM1Dj+82ZwjfxUP1IxaHE+8=
k8s.io/klog/v2 v2.120.1 h1:QXU6cPEOIslTGvZaXvFWiP9VKyeet3sawzTOvdXb4Vw=
k8s.io/klog/v2 v2.120.1/go.mod h1:3Jpz1GvMt720eyJH1ckRHK1EDfpxISzJ7I9OYgaDtPE=
k8s.io/kube-openapi v0.0.0-20240228011516-70dd3763d340 h1:BZqlfIlq5YbRMFko6/PM7FjZpUb45WallggurYhKGag=

	data := []float64{math.NaN(), -0.25, 0.0, 1.4}
	tests := []struct {
		target    float64
		wantPos   int
		wantFound bool
	}{
		{math.NaN(), 0, true},
		{math.Inf(-1), 1, false},
		{-0.25, 1, true},
		{0.0, 2, true},
		{1.4, 3, true},
		{1.5, 4, false},
	}
	for _, tt := range tests {
		t.Run(fmt.Sprintf("%v", tt.target), func(t *testing.T) {
			{
				pos, found := BinarySearch(data, tt.target)

```JSON
{
  "title": "towel",
  "size": "XL"
}
```

You will receive a response telling you that the data is invalid containing the received body:

```JSON hl_lines="12-15"
{
  "detail": [
    {
      "loc": [
        "body",
        "size"
      ],
      "msg": "value is not a valid integer",
      "type": "type_error.integer"
    }
  ],
  "body": {

000001c0  44 48 bc 59 13 83 16 04  88 a4 81 5c 25 0d 98 0c  |DH.Y.......\%...|
000001d0  ac 11 b1 28 56 be 1d cd  61 62 84 09 bf d6 80 c6  |...(V...ab......|
000001e0  45 8d 82 2c b4 d8 83 9b  db c9 22 b7 2a 12 11 7b  |E..,......".*..{|
000001f0  fa 02 3b c1 c9 ff ea c9  9d a8 49 d3 95 d7 d5 0e  |..;.......I.....|
00000200  e5 35 16 03 01 00 25 10  00 00 21 20 2f e5 7d a3  |.5....%...! /.}.|

000003b0  59 8a 30 0a f7 18 f4 c4  c5 15 11 d6 8b 8d 2a e0  |Y.0...........*.|
000003c0  71 c3 86 dc d2 7f c4 95  98 c7 6c b7 21 78 d0 e6  |q.........l.!x..|
000003d0  a7 3e 4b 12 11 df b7 d9  1e 23 d9 db 0f 5f 43 f0  |.>K......#..._C.|
000003e0  75 65 ac ba 46 43 61 b4  3d be b8 49 44 ad 15 00  |ue..FCa.=..ID...|
000003f0  3b c0 07 ba 18 b2 14 71  17 03 03 00 35 d1 22 81  |;......q....5.".|