BigCodeBench / BigCodeBench v0.1.0_hf 88ae172b-737a-5dcd-ad5c-fe714ed80fc7

complete prompt

import random
import pandas as pd
import collections

# Constants
VEGETABLES = ['Carrot', 'Potato', 'Tomato', 'Cabbage', 'Spinach']


def task_func(vegetable_dict, seed=0):
    """
    Calculate statistics for the vegetables preferred by people listed in the input dictionary.
    The function reverses the dictionary to map vegetables to people and assigns random counts to these vegetables.
    It then calculates the occurrences of each vegetable as a percentage of the total counts.

    A dictionary is created to map each vegetable to a person from the input where vegetables are values.
    Random counts between 1 and 10 are assigned to simulate varying popularity or availability of each vegetable.

    Parameters:
    vegetable_dict (dict): A dictionary mapping people's names to their preferred vegetables.
    seed (int): An integer value to seed the random number generator. Defaults to 0.
    
    Returns:
    DataFrame: Returns a DataFrame with columns for vegetable names, their random counts,
    and their percentage occurrence within the total counts.

    Requirements:
    - random
    - pandas
    - collections

    Example:
    >>> vegetable_dict = {'John': 'Carrot', 'Alice': 'Potato', 'Bob': 'Tomato'}
    >>> print(task_func(vegetable_dict))
            Count  Percentage
    Carrot      7   46.666667
    Potato      7   46.666667
    Tomato      1    6.666667
    """

instruct prompt

Calculate statistics for the vegetables preferred by people listed in the input dictionary. The function reverses the dictionary to map vegetables to people and assigns random counts to these vegetables. It then calculates the occurrences of each vegetable as a percentage of the total counts. A dictionary is created to map each vegetable to a person from the input where vegetables are values. Random counts between 1 and 10 are assigned to simulate varying popularity or availability of each vegetable.
The function should output with:
    DataFrame: Returns a DataFrame with columns for vegetable names, their random counts,
    and their percentage occurrence within the total counts.
You should write self-contained code starting with:

Code

import random
import pandas as pd
import collections
# Constants
VEGETABLES = ['Carrot', 'Potato', 'Tomato', 'Cabbage', 'Spinach']
def task_func(vegetable_dict, seed=0):

code prompt

Code

import random
import pandas as pd
import collections
# Constants
VEGETABLES = ['Carrot', 'Potato', 'Tomato', 'Cabbage', 'Spinach']
def task_func(vegetable_dict, seed=0):

entry point

task_func

libs

• pandas
• collections
• random