*/
public class MsrpcLsarOpenPolicy2 extends lsarpc.LsarOpenPolicy2 {

    /**
     * Creates a new request to open an LSA policy handle.
     *
     * @param server the server name to connect to
     * @param access the desired access rights
     * @param policyHandle the policy handle to be populated
     */

{
    "properties": {
      "name": {
        "type": "keyword"
      },
      "password": {
        "type": "keyword"
      },
      "surname": {
        "type": "keyword"
      },
      "givenName": {
        "type": "keyword"
      },
      "employeeNumber" : {
        "type" : "keyword"
      },
      "mail" : {
        "type" : "keyword"
      },
      "telephoneNumber" : {
        "type" : "keyword"

# Generate CONTRIBUTORS.md: contributors.sh

# Tip for finding duplicates (besides scanning the output of CONTRIBUTORS.md for name
# duplicates that aren't also email duplicates): scan the output of:
#   git log --format='%aE - %aN' | sort -uf
#
# For explanation on this file format: man git-shortlog

Anand Babu (AB) Periasamy <******@****.***> Anand Babu (AB) Periasamy <******@****.***>
Anand Babu (AB) Periasamy <******@****.***> <******@****.***>

		{"a \t b  c   ", "a b c"},
		{"\"a \t b  c   ", "\"a b c"},
		{" \t\n\u000b\r\fa \t\n\u000b\r\f b \t\n\u000b\r\f c \t\n\u000b\r\f", "a b c"},
	}

	// Tests generated values from url encoded name.
	for i, testCase := range testCases {
		result := signV4TrimAll(testCase.inputStr)
		if testCase.result != result {

    write_to_bazelrc('build --define=override_eigen_strong_inline=true')


def config_info_line(name, help_text):
  """Helper function to print formatted help text for Bazel config options."""
  print('\t--config=%-12s\t# %s' % (name, help_text))


def configure_ios(environ_cp):
  """Configures TensorFlow for iOS builds."""
  if not is_macos():
    return

            "type" : "keyword"
          },
          "intervalTime" : {
            "type" : "integer"
          },
          "maxAccessCount" : {
            "type" : "long"
          },
          "name" : {
            "type" : "keyword"
          },
          "numOfThread" : {
            "type" : "integer"
          },
          "paths" : {
            "type" : "keyword"
          },

plugins {
  kotlin("jvm")
  id("org.jetbrains.dokka")
  id("com.vanniktech.maven.publish.base")
  id("binary-compatibility-validator")
}

project.applyOsgi(
  "Export-Package: okhttp3.coroutines",
  "Automatic-Module-Name: okhttp3.coroutines",
  "Bundle-SymbolicName: com.squareup.okhttp3.coroutines"
)

dependencies {
  api(projects.okhttp)
  implementation(libs.kotlinx.coroutines.core)
  api(libs.squareup.okio)

            assertEquals("S-1-5-10-20", unknown.getDomainName());
            assertEquals("30", unknown.getAccountName());

            // Domain type: domain name as-is, account name empty
            SID domain = new SID(buildSidT((byte) 1, ident, 10, 20), jcifs.SID.SID_TYPE_DOMAIN, "MYDOM", "ignored", false);
            assertEquals("MYDOM", domain.getDomainName());

Como ela está instalada no projeto local, você provavelmente não conseguiria chamar esse comando diretamente, mas você o colocaria no seu arquivo `package.json`.

Poderia ser assim:

```JSON  hl_lines="7"
{
  "name": "frontend-app",
  "version": "1.0.0",
  "description": "",
  "main": "index.js",
  "scripts": {
    "generate-client": "openapi-ts --input http://localhost:8000/openapi.json --output ./src/client --client axios"
  },

```

これを「呼び出し可能」なものと呼びます。

## 依存関係としてのクラス

Pythonのクラスのインスタンスを作成する際に、同じ構文を使用していることに気づくかもしれません。

例えば:

```Python
class Cat:
    def __init__(self, name: str):
        self.name = name


fluffy = Cat(name="Mr Fluffy")
```

この場合、`fluffy`は`Cat`クラスのインスタンスです。

そして`fluffy`を作成するために、`Cat`を「呼び出している」ことになります。

そのため、Pythonのクラスもまた「呼び出し可能」です。