Data processing(functional)

---
Title: Finding high scorers and average of each student.
---

# Problem Statement
 a function process_data that takes a list of dictionaries, each representing a student, where each dictionary has:

'name': the name of the student (a string).
'marks': a list of integers representing the marks the student scored in different subjects.

Returns:

Return a list of names of students who scored above 60 in all subjects.
Return the average marks for each student as a dictionary where the key is the student's name and the value is the average of their marks.

**Example**
```
Input
students = [
    {'name': 'Ali, 'marks': [70, 80, 90]},
    {'name': 'Bhargav', 'marks': [50, 55, 60]},
    {'name': 'Chethan', 'marks': [90, 85, 100]}
]

```
Output
['Ali', 'Chaman']
{'Ali': 80.0, 'Bhargav': 55.0, 'Chethan': 91.66666666666667}

# Solution

```py3 test.py -r 'python test.py'
<template>
def process_data(students):
    
    high_scorers = [student['name'] for student in students if all(mark > 60 for mark in student['marks'])]
    
    averages = {student['name']: sum(student['marks']) / len(student['marks']) for student in students}
    
    return high_scorers, averages

</template>
<suffix_invisible>
{% include '../function_type_and_modify_check_suffix.py.jinja' %}
</suffix_invisible>
```

# Public Test Cases

## Input 1

```
students = [
    {'name': 'Dhir', 'marks': [72, 65, 50]},
    {'name': 'isha', 'marks': [60, 59, 59]},
    {'name': 'Fafa', 'marks': [90, 95, 93]}
]

```

## Output 1

```
['Dhir', 'Fafa']
{'Dhir': 62.33, 'Isha': 59.33, 'Fafa': 92.66666666666667}
```


# Private Test Cases

## Input 1

```
students = [
    {"name": "Aman", "marks": [90, 85, 88]},
    {"name": "bharat", "marks": [55, 75, 63]},
    {"name": "Cinni", "marks": [70, 70, 70]},
    {"name": "Druv", "marks": [60, 60, 50]},
]
```

## Output 1

```
high_scorers = ['Aman', 'Cinni']
averages = {
    "Aman": 87.67,
    "Bharat": 64.33,
    "Cinni": 70.0,
    "Druv": 56.67
}
```