}

    @Test
    @DisplayName("Should have correct opnum from parent class")
    void shouldHaveCorrectOpnum() {
        // When
        MsrpcSamrConnect2 msrpcSamrConnect2 = new MsrpcSamrConnect2(testServer, testAccess, mockPolicyHandle);

        // Then
        assertEquals(0x39, msrpcSamrConnect2.getOpnum(), "Should have opnum 0x39 from parent class");
    }

    @Test

import logging
import re
from typing import Literal

from github import Auth, Github
from pydantic import BaseModel, SecretStr
from pydantic_settings import BaseSettings


class Settings(BaseSettings):
    github_repository: str
    github_token: SecretStr
    deploy_url: str | None = None
    commit_sha: str
    run_id: int
    state: Literal["pending", "success", "error"] = "pending"


class LinkData(BaseModel):

      description: If compiling from source
  - type: input
    id: Compiler
    attributes:
      label: GCC/compiler version
      description: If compiling from source
  - type: input
    id: Cuda
    attributes:
      label: CUDA/cuDNN version
  - type: input
    id: Gpu
    attributes:
      label: GPU model and memory
      description: If compiling from source
  - type: textarea

We are not using `scopes` in this example, but the functionality is there if you need it.

///

Now, get the user data from the (fake) database, using the `username` from the form field.

If there is no such user, we return an error saying "Incorrect username or password".

For the error, we use the exception `HTTPException`:

/**
 * Extracts text content from Microsoft PowerPoint documents.
 */
public class MsPowerPointExtractor extends AbstractExtractor {

    /**
     * Creates a new MsPowerPointExtractor instance.
     */
    public MsPowerPointExtractor() {
        super();
    }

    /**
     * Extracts text from the PowerPoint input stream.
     * @param in The input stream.

from fastapi import FastAPI, Request, WebSocket
from fastapi.exceptions import (
    RequestValidationError,
    ResponseValidationError,
    WebSocketRequestValidationError,
)
from fastapi.testclient import TestClient
from pydantic import BaseModel


class Item(BaseModel):
    id: int
    name: str


class ExceptionCapture:
    def __init__(self):
        self.exception = None

    def capture(self, exc):

    placeholder: e.g., 3.9 validations: required: false

-   type: input id: Bazel attributes: label: Bazel version description: if
    compiling from source placeholder: validations: required: false

-   type: input id: Compiler attributes: label: GCC/Compiler version
    description: if compiling from source placeholder: validations: required:
    false

-   type: input id: Cuda attributes: label: CUDA/cuDNN version description:

   * that this uses unsigned integers (see {@link com.google.common.primitives.UnsignedInts}).
   * Comparisons between the two should take this into account.
   *
   * <p>Fingerprint2011() is a form of Murmur2 on strings up to 32 bytes and a form of CityHash for
   * longer strings. It could have been one or the other throughout. The main advantage of the
   * combination is that CityHash has a bunch of special cases for short strings that don't need to

import org.codelibs.fess.crawler.Constants;
import org.codelibs.fess.crawler.entity.ExtractData;
import org.codelibs.fess.crawler.exception.ExtractException;

/**
 * Extracts text content and metadata from CSV files.
 * This extractor provides better structured data extraction compared to Tika's generic text extraction.
 *
 * <p>Features:
 * <ul>
 *   <li>Automatic delimiter detection (comma, tab, semicolon, pipe)</li>

/**
 * The Extractor interface defines methods for extracting text data from an input stream.
 * Implementations of this interface should provide the logic for extracting text and
 * optionally override the default weight value.
 */
public interface Extractor {

    /**
     * Extracts text data from the given input stream.
     *
     * @param in the input stream to extract text from
     * @param params a map of parameters to be used during extraction