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

/**
 * 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:

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>

}

func buildServerCtxt(ctx *cli.Context, ctxt *serverCtxt) (err error) {
	// Get "json" flag from command line argument and
	ctxt.JSON = ctx.IsSet("json") || ctx.GlobalIsSet("json")
	// Get quiet flag from command line argument.
	ctxt.Quiet = ctx.IsSet("quiet") || ctx.GlobalIsSet("quiet")
	// Get anonymous flag from command line argument.
	ctxt.Anonymous = ctx.IsSet("anonymous") || ctx.GlobalIsSet("anonymous")

/**
 * 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

import json
from typing import Annotated

from fastapi import APIRouter, Depends, FastAPI, WebSocket
from fastapi.testclient import TestClient


def dependency_list() -> list[str]:
    return []


DepList = Annotated[list[str], Depends(dependency_list)]


def create_dependency(name: str):
    def fun(deps: DepList):
        deps.append(name)

    return Depends(fun)

from typing import Annotated

from fastapi import Depends, FastAPI, HTTPException, Query
from sqlmodel import Field, Session, SQLModel, create_engine, select


class Hero(SQLModel, table=True):
    id: int | None = Field(default=None, primary_key=True)
    name: str = Field(index=True)
    age: int | None = Field(default=None, index=True)
    secret_name: str


sqlite_file_name = "database.db"
sqlite_url = f"sqlite:///{sqlite_file_name}"