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BigCodeBench / BigCodeBench v0.1.0_hf 9ada8dba-4e86-5f63-9fb5-b2e18fb123d5

Problem

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

complete prompt

import numpy as np
import matplotlib.pyplot as plt
import itertools


def task_func(data_list):
    """
    Unzips the provided list of tuples and plots the numerical values for each position.
    
    Parameters:
    - data_list (list of tuples): A list containing tuples. Each tuple should contain a character and two numerical values.
    
    Returns:
    - Axes: The plot with the unzipped numerical values.
    
    Requirements:
    - numpy
    - matplotlib.pyplot
    - itertools

    Raises:
    - ValueError: If the data_list is empty.
    
    Example:
    >>> plot = task_func([('a', 1, 2), ('b', 2, 3), ('c', 3, 4), ('d', 4, 5), ('e', 5, 6)])
    >>> type(plot)
    <class 'matplotlib.axes._axes.Axes'>
    """

instruct prompt

Unzips the provided list of tuples and plots the numerical values for each position.
The function should raise the exception for: ValueError: If the data_list is empty.
The function should output with:
    Axes: The plot with the unzipped numerical values.
You should write self-contained code starting with:

Code

import numpy as np
import matplotlib.pyplot as plt
import itertools
def task_func(data_list):

code prompt

Code

import numpy as np
import matplotlib.pyplot as plt
import itertools
def task_func(data_list):

entry point

task_func

libs

  • matplotlib
  • numpy
  • itertools

Discussion

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Source and history

task_id
9ada8dba-4e86-5f63-9fb5-b2e18fb123d5
task_key
default--v0~2e1~2e0~5fhf--9ada8dba-4e86-5f63-9fb5-b2e18fb123d5
task_revision_id
1
config / split
default / v0.1.0_hf

Official source

initial import