BMV 320
10 000 EUR
BMW 320 · 2012 · 275 000 km · diesel · automatic · 10 000 EUR · Beograd
Karakteristike
- Marka: BMW
- Model: 320
- Godište: 2012
- Kilometraža: 275 000 km
- Gorivo: diesel
- Menjač: automatic
- Zapremina motora: 1998 cm³
- Snaga: 184 KS
- Karoserija: sedan
- Grad: Beograd
Opis
Auto je kod mene 4 godine i za to vreme nije bilo nikakvih ozbiljnih problema. Redovno je održavan.
• ZF automatski menjač, 8 brzina
• Stage 1
• DPF softverski i fizički uklonjen
• Ugrađeno ambijentalno osvetljenje
• Turbo urađen pre ~15.000 km
• EGR ventil zamenjen novim
• Redovno servisiran i održavan
• Auto se svakodnevno vozi i može se pogledati/proveriti
Za vise informacija pozvati.
Srecna kupovina.
Stanje: Polovno vozilo
Godište: 2012.
Kilometraža: 275.000 km
Karoserija: Limuzina
Gorivo: Dizel
Kubikaža: 1998 cm 3
Snaga motora: 135/184 (kW/KS)
Menjač: Automatski / poluautomatski
Pogon: Zadnji
Broj vrata: 4/5 vrata
Broj sedišta: 5 sedišta
Boja: Teget
Klima: Automatska klima
Registrovan do: 04.2027.
Poreklo vozila: Domaće tablice
Oštećenje: Nije oštećen
Emisiona klasa motora: Euro 4
Strana volana: Levi volan
Sigurnost: Airbag za vozača, Airbag za suvozača, Bočni airbag, Child lock, ABS, ESP, ASR, Alarm, Kodiran ključ, Centralno zaključavanje, Mehanička zaštita, Ulazak bez ključa, OBD zaštita
Oprema: Metalik boja, Branici u boji auta, Servo volan, Multifunkcionalni volan, Tempomat, Daljinsko zaključavanje, Putni računar, Tonirana stakla, Električni podizači prozora, Električni retrovizori, Grejači retrovizora, Sedišta podesiva po visini, Svetla za maglu, Senzori za kišu, Parking senzori, Aluminijumske felne, Navigacija, Bluetooth, Radio/Kasetofon, Radio CD
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- BMW 218 218d xDrive GT +++++ src/main.py import re from typing import List, Dict, Tuple, Optional from pathlib import Path import json from src.utils import load_json, save_json, load_text, save_text from src.translator import translate_text from src.constants import ( INPUT_DIR, OUTPUT_DIR, TRANSLATIONS_FILE, SERBIAN_LATIN_ALPHABET, SERBIAN_CYRILLIC_ALPHABET, SERBIAN_LATIN_TO_CYRILLIC_MAP, SERBIAN_CYRILLIC_TO_LATIN_MAP, SERBIAN_LATIN_REGEX, SERBIAN_CYRILLIC_REGEX, SERBIAN_LATIN_EXCEPTIONS, SERBIAN_CYRILLIC_EXCEPTIONS, SERBIAN_LATIN_EXCEPTION_MAP, SERBIAN_CYRILLIC_EXCEPTION_MAP, ) def convert_script( text: str, source_script: str, target_script: str, exceptions: Optional[Dict[str, str]] = None, ) -> str: """ Convert text from one script to another (Latin <-> Cyrillic). Args: text: Input text to convert. source_script: Source script ('latin' or 'cyrillic'). target_script: Target script ('latin' or 'cyrillic'). exceptions: Optional dictionary of exceptions to override default conversion. Returns: Converted text in the target script. """ if source_script == target_script: return text if source_script == "latin" and target_script == "cyrillic": conversion_map = SERBIAN_LATIN_TO_CYRILLIC_MAP.copy() if exceptions: conversion_map.update(exceptions) regex = SERBIAN_LATIN_REGEX elif source_script == "cyrillic" and target_script == "latin": conversion_map = SERBIAN_CYRILLIC_TO_LATIN_MAP.copy() if exceptions: conversion_map.update(exceptions) regex = SERBIAN_CYRILLIC_REGEX else: raise ValueError("Invalid script conversion direction") def replace_match(match): matched_text = match.group(0) return conversion_map.get(matched_text, matched_text) return regex.sub(replace_match, text) def process_file( input_path: Path, output_path: Path, translations: Dict[str, str], source_script: str, target_script: str, ) -> None: """ Process a single file: translate and convert script if needed. Args: input_path: Path to the input file. output_path: Path to save the processed file. translations: Dictionary of translations. source_script: Source script ('latin' or 'cyrillic'). target_script: Target script ('latin' or 'cyrillic'). """ text = load_text(input_path) # Translate the text translated_text = translate_text(text, translations) # Convert script if needed if source_script != target_script: if source_script == "latin": exceptions = SERBIAN_LATIN_EXCEPTION_MAP else: exceptions = SERBIAN_CYRILLIC_EXCEPTION_MAP converted_text = convert_script( translated_text, source_script, target_script, exceptions ) else: converted_text = translated_text save_text(output_path, converted_text) def process_directory( input_dir: Path, output_dir: Path, translations: Dict[str, str], source_script: str, target_script: str, ) -> None: """ Process all files in the input directory. Args: input_dir: Path to the input directory. output_dir: Path to the output directory. translations: Dictionary of translations. source_script: Source script ('latin' or 'cyrillic'). target_script: Target script ('latin' or 'cyrillic'). """ output_dir.mkdir(parents=True, exist_ok=True) for input_path in input_dir.glob("*"): if input_path.is_file(): output_path = output_dir / input_path.name process_file( input_path, output_path, translations, source_script, target_script ) def main() -> None: """ Main function to run the translation and script conversion process. """ # Load translations translations = load_json(TRANSLATIONS_FILE) # Process files in the input directory process_directory(INPUT_DIR, OUTPUT_DIR, translations, "latin", "latin") if __name__ == "__main__": main() +++++ src/translator.py import re from typing import Dict, List, Tuple, Optional from src.constants import ( PROPER_NOUN_PATTERNS, UPPERCASE_WORD_PATTERNS, NUMBER_PATTERNS, URL_PATTERN, EMAIL_PATTERN, BRAND_PATTERNS, ADDRESS_PATTERNS, ) def is_proper_noun(word: str, context: str) -> bool: """ Check if a word is a proper noun based on patterns and context. Args: word: The word to check. context: The surrounding text for context. Returns: True if the word is likely a proper noun, False otherwise. 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