add all 10 prototype func

vacancy_analyzer.py

@@ -1,14 +1,32 @@
 import json
-from typing import List, Dict
+
-def load_vacancies(filepath: str) -> List[Dict]:
+
+def load_vacancies(filepath: str) -> list[dict]:
     try:
         with open(filepath,"r") as file:
             return json.load(file)
     except:
         print()    
         return []
-def filter_by_city(vacancies: List[Dict], city: str) -> List[Dict]:
+
+def filter_by_city(vacancies: list[dict], city: str) -> list[dict]:
     return [i for i in vacancies if i.get('city').lower() == city.lower()]
+def filter_by_skills(vacancies: list[dict], required_skills: list[str]) -> list[dict]:
+    return []
+def filter_by_salary(vacancies: list[dict], min_salary: int) -> list[dict]:
+    return []
+def extract_unique_companies(vacancies: list[dict]) -> list[str]:
+    return []
+def extract_top_skills(vacancies: list[dict], top_n: int) -> list[tuple[str, int]]:
+    return []
+def calculate_average_salary(vacancies: list[dict]) -> float:
+    return 0.0
+def group_by_company(vacancies: list[dict]) -> dict[str, int]:
+    return {}
+def format_vacancy_short(vacancy: dict) -> str:
+    return 
+def save_filtered_results(vacancies: list[dict], filename: str) -> bool:
+    return 
 def main():
     print("Hello World")