BigCodeBench / BigCodeBench v0.1.0_hf d23c2695-8443-5027-a7c4-3dab98f792f7

complete prompt

import numpy as np
import itertools
import random
import statistics

def task_func(T1, RANGE=100):
    """
    Convert elements in 'T1' to integers and create a list of random integers.
    The size of the list is the sum of the integers in `T1`. Calculate and 
    return the mean, median, and mode of the list.
    
    Parameters:
    T1 (tuple of tuples): Each tuple contains string representations of integers which are converted to integers.
    RANGE (int, optional): The upper limit for generating random integers. Default is 100.
    
    Returns:
    tuple: A tuple containing the mean, median, and mode of the generated list of random integers.
           The mean and median are floats, and the mode is an integer. The calculations use the generated
           list whose size is determined by the sum of converted integers from `T1`.
    
    Requirements:
    - numpy
    - itertools
    - random
    - statistics

    Raises:
    statistics.StatisticsError if T1 is empty
    
    Example:
    >>> import random
    >>> random.seed(42)
    >>> T1 = (('13', '17', '18', '21', '32'), ('07', '11', '13', '14', '28'), ('01', '05', '06', '08', '15', '16'))
    >>> stats = task_func(T1)
    >>> print(stats)
    (49.88, 48.0, 20)
    >>> stats = task_func(T1, RANGE=50)
    >>> print(stats)
    (23.773333333333333, 25.0, 15)
    """

instruct prompt

Convert elements in 'T1' to integers and create a list of random integers. The size of the list is the sum of the integers in `T1`. Calculate and return the mean, median, and mode of the list.
The function should raise the exception for: statistics.StatisticsError if T1 is empty
The function should output with:
    tuple: A tuple containing the mean, median, and mode of the generated list of random integers.
    The mean and median are floats, and the mode is an integer. The calculations use the generated
    list whose size is determined by the sum of converted integers from `T1`.
You should write self-contained code starting with:

Code

import numpy as np
import itertools
import random
import statistics
def task_func(T1, RANGE=100):

code prompt

Code

import numpy as np
import itertools
import random
import statistics
def task_func(T1, RANGE=100):

entry point

task_func

libs

• statistics
• numpy
• itertools
• random