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BigCodeBench / BigCodeBench v0.1.0_hf 7b46bbad-0326-5cb1-9280-93980e53fa7a

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

# Constants
BAR_COLOR = ['blue', 'green', 'red', 'cyan', 'magenta', 'yellow', 'black']


def task_func(data_size):
    """
    Generates random numeric data and creates a histogram of the data.
    The color of the histogram bars is randomly selected from a predefined list.

    Parameters:
    data_size (int): The number of data points to generate.

    Returns:
    tuple:
        - ndarray: The array of randomly generated data.
        - str: The color used for the histogram bars.

    Requirements:
    - numpy
    - matplotlib

    Example:
    >>> data, color = task_func(5)
    >>> print(data.shape)
    (5,)
    >>> print(color in ['blue', 'green', 'red', 'cyan', 'magenta', 'yellow', 'black'])
    True
    """

instruct prompt

Generates random numeric data and creates a histogram of the data. The color of the histogram bars is randomly selected from a predefined list.
The function should output with:
    tuple:
    ndarray: The array of randomly generated data.
    str: The color used for the histogram bars.
You should write self-contained code starting with:

Code

import numpy as np
import matplotlib.pyplot as plt
# Constants
BAR_COLOR = ['blue', 'green', 'red', 'cyan', 'magenta', 'yellow', 'black']
def task_func(data_size):

code prompt

Code

import numpy as np
import matplotlib.pyplot as plt
# Constants
BAR_COLOR = ['blue', 'green', 'red', 'cyan', 'magenta', 'yellow', 'black']
def task_func(data_size):

entry point

task_func

libs

  • numpy
  • matplotlib

Discussion

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Source and history

task_id
7b46bbad-0326-5cb1-9280-93980e53fa7a
task_key
default--v0~2e1~2e0~5fhf--7b46bbad-0326-5cb1-9280-93980e53fa7a
task_revision_id
3
config / split
default / v0.1.0_hf

Official source

initial import