BMV Ks3 2.0

6 200 EUR

BMW X3 · 2008 · 238 782 km · diesel · automatic · 6 200 EUR · Voždovac

Karakteristike

• Marka: BMW
• Model: X3
• Godište: 2008
• Kilometraža: 238 782 km
• Gorivo: diesel
• Menjač: automatic
• Zapremina motora: 1995 cm³
• Snaga: 177 KS
• Karoserija: suv
• Grad: Voždovac

Opis

Prodajem BMW X3 koji je godinama služio kao porodičan auto. Redovno servisiran, održavan na vreme i vožen pažljivo. Auto se vodi na prodavca i papiri su uredni.

Ima sitne tragove gradske vožnje, ništa neuobičajeno za svoje godine, ali je generalno očuvan i spreman za dalju vožnju.

Ozbiljni kupci mogu da se jave za više informacija i dogovor.

Stanje: Polovno vozilo

Godište: 2008.

Kilometraža: 238.782 km

Karoserija: Džip/SUV

Gorivo: Dizel

Kubikaža: 1995 cm 3

Snaga motora: 130/177 (kW/KS)

Menjač: Automatski / poluautomatski

Pogon: 4x4

Broj vrata: 4/5 vrata

Broj sedišta: 5 sedišta

Boja: Crna

Klima: Manuelna 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, ABS, Alarm, Kodiran ključ, Centralno zaključavanje, OBD zaštita

Oprema: Branici u boji auta, Servo volan, Daljinsko zaključavanje, Panoramski krov, Električni retrovizori, Sedišta podesiva po visini, Grejanje sedišta, Xenon svetla, Senzori za svetla, Parking senzori, Bluetooth, Radio CD, LED prednja svetla, Naslon za ruku, Multimedija, Kožni volan, AUX konekcija

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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. """ # Check if the word matches any proper noun patterns for pattern in PROPER_NOUN_PATTERNS: if re.fullmatch(pattern, word): return True # Check if the word is part of a brand name for pattern in BRAND_PATTERNS: if re.search(pattern, context): return True # Check if the word is part of an address for pattern in ADDRESS_PATTERNS: if re.search(pattern, context): return True return False def is_uppercase_word(word: str) -> bool: """ Check if a word is in uppercase and should be translated. Args: word: The word to check. Returns: True if the word is in uppercase and should be translated, False otherwise. """ # Check if the word matches any uppercase word patterns for pattern in UPPERCASE_WORD_PATTERNS: if re.fullmatch(pattern, word): return True return False def should_translate_word(word: str, context: str) -> bool: """ Determine if a word should be translated based on various checks. Args: word: The word to check. context: The surrounding text for context. Returns: True if the word should be translated, False otherwise. """ # Check if the word is a number for pattern in NUMBER_PATTERNS — 2018 · 154 010 km · Svilajnac · 13 990 EUR
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