// RUN: tf-opt -tf-tpu-resource-read-for-write %s | FileCheck %s --dump-input=always

// CHECK-LABEL: func @write_only_resource
// CHECK-SAME: ([[ARG0:%.*]]: tensor<i32>, [[ARG1:%.*]]: tensor<f32>, [[ARG2:%.*]]: tensor<*x!tf_type.resource<tensor<i32>>>)
func.func @write_only_resource(%arg0: tensor<i32>, %arg1: tensor<f32>, %arg2: tensor<*x!tf_type.resource<tensor<i32>>>) {
  // CHECK-NEXT: [[READ:%.*]] = "tf.ReadVariableOp"([[ARG2]])

This will be especially useful when you use it in a **large code base** where you use **the same dependencies** over and over again in **many *path operations***.

## To `async` or not to `async`

As dependencies will also be called by **FastAPI** (the same as your *path operation functions*), the same rules apply while defining your functions.

// CHECK: %[[CALL:.+]] = "tf.XlaCallModule"(%[[ARG_0]], %[[DQ]])
// CHECK-SAME: _entry_function = @composite_conv_fn, _original_entry_function = "composite_conv_fn", _quantization_method = "weight_only_ptq { }"
// CHECK-SAME: (tensor<1x3x2x3xf32>, tensor<2x3x3x2xf32>) -> tensor<1x2x2x2xf32>
// CHECK: return %[[CALL]] : tensor<1x2x2x2xf32>

// -----

  // CHECK: "tf.IfRegion"
  // CHECK-SAME: is_stateless = false

  // CHECK: "tf.CalibrationStatisticsSaver"
  // CHECK-SAME: output_file_path = "serving_default_0.pb"

  // CHECK: "tf.CalibrationStatisticsSaver"
  // CHECK-SAME: output_file_path = "serving_default_1.pb"

  // CHECK: "tf.CalibrationStatisticsSaver"
  // CHECK-SAME: output_file_path = "serving_default_2.pb"

!!! note "Technical Details"
    You could also use `from starlette.templating import Jinja2Templates`.

    **FastAPI** provides the same `starlette.templating` as `fastapi.templating` just as a convenience for you, the developer. But most of the available responses come directly from Starlette. The same with `Request` and `StaticFiles`.

## Writing templates

Then you can write a template at `templates/item.html` with, for example:

query_or_cookie_extractor(["query_or_cookie_extractor"])

read_query["/items/"]

query_extractor --> query_or_cookie_extractor --> read_query
```

## Using the same dependency multiple times

If one of your dependencies is declared multiple times for the same *path operation*, for example, multiple dependencies have a common sub-dependency, **FastAPI** will know to call that sub-dependency only once per request.

			return u.nify(x.elem, y.elem, emode, p)
		}

	case *Struct:
		// Two struct types unify if they have the same sequence of fields,
		// and if corresponding fields have the same names, their (field) types unify,
		// and they have identical tags. Two embedded fields are considered to have the same
		// name. Lower-case field names from different packages are always different.
		if y, ok := y.(*Struct); ok {

			return u.nify(x.elem, y.elem, emode, p)
		}

	case *Struct:
		// Two struct types unify if they have the same sequence of fields,
		// and if corresponding fields have the same names, their (field) types unify,
		// and they have identical tags. Two embedded fields are considered to have the same
		// name. Lower-case field names from different packages are always different.
		if y, ok := y.(*Struct); ok {

// a named type remain the same as long as the same source and AddMethod calls
// are presented to the type checker in the same order (go.dev/issue/61298).
func TestMethodOrdering(t *testing.T) {
	const src = `
package p

type T struct{}

func (T) a() {}
func (T) c() {}
func (T) b() {}
`
	// should get the same method order each time
	var methods []string

// to be the same from one call to the next.
func All[Map ~map[K]V, K comparable, V any](m Map) iter.Seq2[K, V] {
	return func(yield func(K, V) bool) {
		for k, v := range m {
			if !yield(k, v) {
				return
			}
		}
	}
}

// Keys returns an iterator over keys in m.
// The iteration order is not specified and is not guaranteed
// to be the same from one call to the next.