EquivalenceTester.of(Equivalence.equals().onResultOf(Functions.toStringFunction()))
        .addEquivalenceGroup(new IntValue(1), new IntValue(1))
        .addEquivalenceGroup(new IntValue(2))
        .test();
  }

  public void testOnResultOf_equals() {
    new EqualsTester()
        .addEqualityGroup(
            Equivalence.identity().onResultOf(Functions.toStringFunction()),

                                 TF_Status* status));

//----------------------------------------------------
// Functions for TF_ShapeInferenceContext.
//
// Functions for implementing shape inference functions. TensorFlow uses these
// functions to determine the shape of tensors produced by an operation without
// having to actually run the operation. If an operation chooses to provide a

	var MaxInt int	// MaxInt

	// 
	var V notExported

	// 
	var V1, V2, V4, V5 notExported


FUNCTIONS
	// Associated with comparable type if AllDecls is set. 
	func ComparableFactory() comparable

	// 
	func F(x int) int

	// 
	func F1() notExported

	// Always under the package functions list. 
	func NotAFactory() int

	// Associated with uint type if AllDecls is set. 
	func UintFactory() uint

final class MainKt$ArticleScreenContent$1$1 {
    // source: 'main.kt'
    enclosing method MainKt$ArticleScreenContent$1.invoke()Lkotlin/jvm/functions/Function0;
    synthetic final field $title: java.lang.String
    inner (anonymous) class MainKt$ArticleScreenContent$1
    inner (anonymous) class MainKt$ArticleScreenContent$1$1
    method <init>(p0: java.lang.String): void
    public synthetic bridge method invoke(): java.lang.Object

// license that can be found in the LICENSE file.

//go:build gc

package cpu

// haveAsmFunctions reports whether the other functions in this file can
// be safely called.
func haveAsmFunctions() bool { return true }

// The following feature detection functions are defined in cpu_s390x.s.
// They are likely to be expensive to call so the results should be cached.
func stfle() facilityList
func kmQuery() queryResult

// Test that even if a file imports runtime,
// it cannot get at the low-level runtime definitions
// known to the compiler.  For normal packages
// the compiler doesn't even record the lower case
// functions in its symbol table, but some functions
// in runtime are hard-coded into the compiler.
// Does not compile.

package main

import "runtime"

func main() {
	runtime.printbool(true)	// ERROR "unexported|undefined"

# Request Parameters

Here's the reference information for the request parameters.

These are the special functions that you can put in *path operation function* parameters or dependency functions with `Annotated` to get data from the request.

It includes:

* `Query()`
* `Path()`
* `Body()`
* `Cookie()`
* `Header()`
* `Form()`
* `File()`

You can import them all directly from `fastapi`:

```python

			} else {
				acc = nextAdder
			}
		}
		return acc.(ref.Val)
	}
}

func min() functions.UnaryOp {
	return cmp("min", types.IntOne)
}

func max() functions.UnaryOp {
	return cmp("max", types.IntNegOne)
}

func cmp(opName string, opPreferCmpResult ref.Val) functions.UnaryOp {
	return func(val ref.Val) ref.Val {
		var result traits.Comparer
		iterable, ok := val.(traits.Iterable)

namespace tensorflow {

// Container for objects during the revival step in SavedModel's loading.
// Notably, resources and functions can be in a state where they reference
// other resources/functions that have not been constructed yet. We collect
// *all* objects in a partially valid state here, then properly initialize
// resources and functions. Implementation-wise, PartiallyRevivedObjects

  llvm::DenseMap<Operation*, llvm::DenseMap<int, int>> args_to_remap;
  llvm::DenseSet<Operation*> do_not_touch;  // Funcs referenced by non-call ops

  // Find all users of functions that are not through a CallOp. Those
  // are functions we need to leave alone.
  module->walk([&](SymbolUserOpInterface op) {
    if (llvm::isa<CallOpInterface>(op.getOperation())) return;