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BigCodeBench / BigCodeBench v0.1.0_hf d58e3e19-73e2-5a6e-a8f2-e31e4a78553c

Problem

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

complete prompt

import numpy as np
from scipy.fft import fft
from matplotlib import pyplot as plt


def task_func(original):
    """
    Create a numeric array from the "original" list, calculate Fast Fourier Transform (FFT) and record the 
    original and FFT data. Additionally, plot the histogram of the magnitude of the FFT data and return the
    axes object of the plot. For an empty list, return an empty array for the FFT data and None for the 
    axes object.

    Parameters:
    original (list): The original list with (str, int) tuples to be unzipped into a numpy array.

    Returns:
    np.array: A numpy array for the original data.
    np.array: FFT data.
    plt.Axes: The axes object of the plot.
    
    Requirements:
    - numpy
    - matplotlib.pyplot
    - scipy.fft

    Example:
    >>> original = [('a', 1), ('b', 2), ('c', 3), ('d', 4)]
    >>> arr, fft_data, ax  = task_func(original)
    >>> print(arr)
    [1 2 3 4]
    >>> print(fft_data)
    [10.-0.j -2.+2.j -2.-0.j -2.-2.j]
    """

instruct prompt

Create a numeric array from the "original" list, calculate Fast Fourier Transform (FFT) and record the original and FFT data. Additionally, plot the histogram of the magnitude of the FFT data and return the axes object of the plot. For an empty list, return an empty array for the FFT data and None for the axes object.
The function should output with:
    np.array: A numpy array for the original data.
    np.array: FFT data.
    plt.Axes: The axes object of the plot.
You should write self-contained code starting with:

Code

import numpy as np
from scipy.fft import fft
from matplotlib import pyplot as plt
def task_func(original):

code prompt

Code

import numpy as np
from scipy.fft import fft
from matplotlib import pyplot as plt
def task_func(original):

entry point

task_func

libs

  • numpy
  • matplotlib
  • scipy

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Source and history

task_id
d58e3e19-73e2-5a6e-a8f2-e31e4a78553c
task_key
default--v0~2e1~2e0~5fhf--d58e3e19-73e2-5a6e-a8f2-e31e4a78553c
task_revision_id
1
config / split
default / v0.1.0_hf

Official source

initial import