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BigCodeBench / BigCodeBench v0.1.0_hf 03f3fdb3-1b8a-5826-bcb5-18fd63197eb2

Problem

Answer published by the source. Consult the official source to check your work against its answer.

complete prompt

import pandas as pd
import numpy as np
from random import randint

# Constants
STUDENTS = ['Joe', 'Amy', 'Mark', 'Sara', 'John', 'Emily', 'Zoe', 'Matt']
COURSES = ['Math', 'Physics', 'Chemistry', 'Biology', 'English', 'History', 'Geography', 'Computer Science']


def task_func():
    """
    Generates a DataFrame containing random grades for a predefined list of students across a set of courses.
    Each student will have one grade per course and an average grade calculated across all courses.

    Returns:
    DataFrame: A pandas DataFrame with columns for each student's name, their grades for each course,
               and their average grade across all courses.

    Requirements:
    - pandas
    - numpy
    - random

    Note:
    The grades are randomly generated for each course using a uniform distribution between 0 and 100.

    Example:
    >>> random.seed(0)
    >>> grades = task_func()
    >>> print(grades[['Name', 'Average Grade']].to_string(index=False))
     Name  Average Grade
      Joe         51.875
      Amy         53.250
     Mark         53.750
     Sara         47.125
     John         55.250
    Emily         48.625
      Zoe         63.750
     Matt         54.750
    """

instruct prompt

Generates a DataFrame containing random grades for a predefined list of students across a set of courses. Each student will have one grade per course and an average grade calculated across all courses.
Note that: The grades are randomly generated for each course using a uniform distribution between 0 and 100.
The function should output with:
    DataFrame: A pandas DataFrame with columns for each student's name, their grades for each course,
    and their average grade across all courses.
You should write self-contained code starting with:

Code

import pandas as pd
import numpy as np
from random import randint
# Constants
STUDENTS = ['Joe', 'Amy', 'Mark', 'Sara', 'John', 'Emily', 'Zoe', 'Matt']
COURSES = ['Math', 'Physics', 'Chemistry', 'Biology', 'English', 'History', 'Geography', 'Computer Science']
def task_func():

code prompt

Code

import pandas as pd
import numpy as np
from random import randint
# Constants
STUDENTS = ['Joe', 'Amy', 'Mark', 'Sara', 'John', 'Emily', 'Zoe', 'Matt']
COURSES = ['Math', 'Physics', 'Chemistry', 'Biology', 'English', 'History', 'Geography', 'Computer Science']
def task_func():

entry point

task_func

libs

  • pandas
  • numpy
  • random

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Source and history

Official source

initial import