*   Using `functools.wraps` on a function with different signature
        *   Using `functools.partial` with an invalid `tf.function` input
    *   `tf.function` now enforces input parameter names to be valid Python identifiers. Incompatible names are automatically sanitized similarly to existing SavedModel signature behavior.

arguments must be identifiers denoting the type parameters being declared, one
for each type parameter of the receiver base type.
The type parameter names do not need to match their corresponding parameter names in the
receiver base type definition, and all non-blank parameter names must be unique in the
receiver parameter section and the method signature.
The receiver type parameter constraints are implied by the receiver base type definition:

	"fmt"
	"strings"
)

// Pseudo-registers whose names are the constant name without the leading R.
const (
	RFP = -(iota + 1)
	RSB
	RSP
	RPC
)

// Arch wraps the link architecture object with more architecture-specific information.
type Arch struct {
	*obj.LinkArch
	// Map of instruction names to enumeration.
	Instructions map[string]obj.As
	// Map of register names to enumeration.
	Register map[string]int16

<img src="/img/tutorial/generate-clients/image06.png">

In this case, you have:

* `ItemsService`
* `UsersService`

### Client Method Names { #client-method-names }

Right now, the generated method names like `createItemItemsPost` don't look very clean:

```TypeScript
ItemsService.createItemItemsPost({name: "Plumbus", price: 5})
```

func ParseTagSetting(str string, sep string) map[string]string {
	settings := map[string]string{}
	names := strings.Split(str, sep)

	var parsedNames []string
	for i := 0; i < len(names); i++ {
		s := names[i]
		for strings.HasSuffix(s, "\\") && i+1 < len(names) {
			i++
			s = s[:len(s)-1] + sep + names[i]
		}
		parsedNames = append(parsedNames, s)
	}

	for _, tag := range parsedNames {

@command(b'goreposum', [], _('url'), norepo=True)
def goreposum(ui, url):
  """
  goreposum computes a checksum of all the named state in the remote repo.
  It hashes together all the branch names and hashes
  and then all the bookmark names and hashes.
  Tags are stored in .hgtags files in any of the branches,
  so the branch metadata includes the tags as well.
  """
  h = hashlib.sha256()
  peer = hg.peer(ui, {}, url)

Keep class names, function names, modules, file names, and CLI commands unchanged.

### List of English terms and their preferred French translations

	if len(results) != 2 {
		t.Errorf("expected 2 distinct names, got %d", len(results))
	}

	var names []string
	for _, u := range results {
		names = append(names, u.Name)
	}
	sort.Strings(names)
	expected := []string{"GenericsDistinctDup", "GenericsDistinctUnique"}
	if !reflect.DeepEqual(names, expected) {
		t.Errorf("expected names %v, got %v", expected, names)
	}
}

func TestGenericsSetCreate(t *testing.T) {

	}, {
		SQL:          "name in (@names)",
		Vars:         []interface{}{map[string]interface{}{"names": []interface{}{"jinzhu", "jinzhu2"}}},
		Result:       "name in (?,?)",
		ExpectedVars: []interface{}{"jinzhu", "jinzhu2"},
	}, {
		SQL:          "name in (@names)",
		Vars:         []interface{}{map[string]interface{}{"names": "jinzhu"}},
		Result:       "name in (?)",

std::vector<string> GetFuncNames(const tensorflow::GraphDef& graph_def) {
  std::vector<string> names;
  auto functions = graph_def.library().function();
  names.reserve(functions.size());
  for (const tensorflow::FunctionDef& func : functions) {
    names.push_back(func.signature().name());
  }
  std::sort(names.begin(), names.end());
  return names;
}

CSession::CSession(TF_Graph* graph, TF_Status* s, bool use_XLA) {