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BigCodeBench / BigCodeBench v0.1.0_hf 1a536863-430b-533a-8de2-99d5b6d95ba5

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 cmath

def task_func(x, y):
    """
    Draw the phase of a complex function over a range of x and y and return the matplotlib axes object
    along with the 2D array of calculated phase values.

    Parameters:
    x (numpy.ndarray): The range of x values.
    y (numpy.ndarray): The range of y values.

    Returns:
    tuple: containing
        - matplotlib.axes.Axes: The axes object with the phase plot.
        - numpy.ndarray: The 2D array of calculated phase values.
    
    Raises:
    TypeError: If either `x` or `y` is not a numpy.ndarray.
    ValueError: If `x` and `y` do not have the same length.
    
    Requirements:
    - numpy
    - matplotlib.pyplot
    - cmath

    Examples:
    >>> ax, Z = task_func(np.array([1, 2, 3]), np.array([1, 2, 3]))
    >>> isinstance(ax, plt.Axes), isinstance(Z, np.ndarray)
    (True, True)
    >>> ax, Z = task_func(np.array([0]), np.array([0]))  # Test with single point
    >>> isinstance(ax, plt.Axes), isinstance(Z, np.ndarray)
    (True, True)
    """

instruct prompt

Draw the phase of a complex function over a range of x and y and return the matplotlib axes object along with the 2D array of calculated phase values.
The function should raise the exception for: TypeError: If either `x` or `y` is not a numpy.ndarray. ValueError: If `x` and `y` do not have the same length.
The function should output with:
    tuple: containing
    matplotlib.axes.Axes: The axes object with the phase plot.
    numpy.ndarray: The 2D array of calculated phase values.
You should write self-contained code starting with:

Code

import numpy as np
import matplotlib.pyplot as plt
import cmath
def task_func(x, y):

code prompt

Code

import numpy as np
import matplotlib.pyplot as plt
import cmath
def task_func(x, y):

entry point

task_func

libs

  • matplotlib
  • numpy
  • cmath

Discussion

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Source and history

task_id
1a536863-430b-533a-8de2-99d5b6d95ba5
task_key
default--v0~2e1~2e0~5fhf--1a536863-430b-533a-8de2-99d5b6d95ba5
task_revision_id
1
config / split
default / v0.1.0_hf

Official source

initial import