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BigCodeBench / BigCodeBench v0.1.0_hf aa08019d-469d-522b-b4fb-1fa76859d653

Problem

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

complete prompt

import random
import bisect
import statistics
import matplotlib.pyplot as plt


def task_func(n, value):
    """
    Generates 'n' random numbers between 0 and 1, finds those greater than their average,
    and counts how many are greater than or equal to a specified value, then plots 
    the sorted numbers.

    Parameters:
        n (int): The number of random numbers to generate.
        value (float): The value to compare against the random numbers.

    Returns:
        list: Numbers greater than the average of all generated numbers.
        int: The count of numbers greater than or equal to the specified value.

    Requirements:
    - random
    - bisect
    - statistics
    - matplotlib.pyplot

    Examples:
    >>> greater_avg, count = task_func(10, 0.5)
    >>> isinstance(greater_avg, list) and isinstance(count, int)
    True
    >>> len(greater_avg) <= 10
    True
    """

instruct prompt

Generates 'n' random numbers between 0 and 1, finds those greater than their average, and counts how many are greater than or equal to a specified value, then plots the sorted numbers.
The function should output with:
    list: Numbers greater than the average of all generated numbers.
    int: The count of numbers greater than or equal to the specified value.
You should write self-contained code starting with:

Code

import random
import bisect
import statistics
import matplotlib.pyplot as plt
def task_func(n, value):

code prompt

Code

import random
import bisect
import statistics
import matplotlib.pyplot as plt
def task_func(n, value):

entry point

task_func

libs

  • statistics
  • bisect
  • random
  • matplotlib

Discussion

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Source and history

task_id
aa08019d-469d-522b-b4fb-1fa76859d653
task_key
default--v0~2e1~2e0~5fhf--aa08019d-469d-522b-b4fb-1fa76859d653
task_revision_id
1
config / split
default / v0.1.0_hf

Official source

initial import