Add student result processor utility

other/student_result_processor.py

@@ -0,0 +1,64 @@
+"""
+Student Result Processor
+
+This module provides utility functions to process student results,
+including separating passed and failed students, identifying top
+performers, and calculating pass percentage.
+"""
+
+
+def separate_students(students, pass_mark=75):
+    """
+    Separate students into passed and failed lists.
+
+    :param students: List of dictionaries with keys 'name' and 'marks'
+    :param pass_mark: Minimum marks required to pass
+    :return: Tuple (passed_students, failed_students)
+    """
+    passed = [s for s in students if s["marks"] >= pass_mark]
+    failed = [s for s in students if s["marks"] < pass_mark]
+    return passed, failed
+
+
+def top_performers(students, threshold=90):
+    """
+    Get students scoring above a given threshold.
+
+    :param students: List of student dictionaries
+    :param threshold: Minimum marks for top performers
+    :return: List of top-performing students
+    """
+    return [s for s in students if s["marks"] >= threshold]
+
+
+def pass_percentage(students, pass_mark=75):
+    """
+    Calculate pass percentage.
+
+    :param students: List of student dictionaries
+    :param pass_mark: Minimum marks required to pass
+    :return: Pass percentage as float
+    """
+    if not students:
+        return 0.0
+
+    passed_count = sum(1 for s in students if s["marks"] >= pass_mark)
+    return (passed_count / len(students)) * 100
+
+
+if __name__ == "__main__":
+    sample_students = [
+        {"name": "Pranav", "marks": 90},
+        {"name": "Amit", "marks": 40},
+        {"name": "Sneha", "marks": 95},
+        {"name": "Rahul", "marks": 72},
+    ]
+
+    passed, failed = separate_students(sample_students)
+    top = top_performers(sample_students)
+    percentage = pass_percentage(sample_students)
+
+    print("Passed:", passed)
+    print("Failed:", failed)
+    print("Top Performers:", top)
+    print("Pass Percentage:", percentage)