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BigCodeBench / BigCodeBench v0.1.0_hf 460978f0-7289-5263-9760-88e016bcb41b

Problem

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

complete prompt

import itertools
import seaborn as sns
import matplotlib.pyplot as plt

# Constants
SHAPES = [
    "Circle",
    "Square",
    "Triangle",
    "Rectangle",
    "Pentagon",
    "Hexagon",
    "Heptagon",
    "Octagon",
    "Nonagon",
    "Decagon",
]
COLORS = [
    "Red",
    "Blue",
    "Green",
    "Yellow",
    "Black",
    "White",
    "Purple",
    "Orange",
    "Pink",
    "Brown",
]


def task_func(num_pairs=10):
    """
    Generate and display a countplot of predefined shape-color pairs.

    This function creates a visual representation of a specified number of unique shape-color combinations,
    each displayed as a bar in the countplot. The shape-color pairs are selected from a predefined list.

    Parameters:
    - num_pairs (int): The number of unique shape-color pairs to be displayed in the countplot.
                       Default is 10. If the requested number is less than 1 or greater than the total
                       possible unique combinations (100), it is adjusted to the valid range (1 to 100).

    Returns:
    - ax (matplotlib.axes._axes.Axes): The Axes object of the countplot, which can be used for
                                                  further customizations or to retrieve information about the plot.

    Requirements:
    - itertools
    - seaborn
    - matplotlib

    Example:
    >>> ax = task_func(10)
    >>> [tick.get_text() for tick in ax.get_xticklabels()]
    ['Circle:Red', 'Circle:Blue', 'Circle:Green', 'Circle:Yellow', 'Circle:Black', 'Circle:White', 'Circle:Purple', 'Circle:Orange', 'Circle:Pink', 'Circle:Brown']
    >>> ax = task_func(9)
    >>> [tick.get_text() for tick in ax.get_xticklabels()]
    ['Circle:Red', 'Circle:Blue', 'Circle:Green', 'Circle:Yellow', 'Circle:Black', 'Circle:White', 'Circle:Purple', 'Circle:Orange', 'Circle:Pink', 'Circle:Brown']
    >>> ax = task_func(8)
    >>> [tick.get_text() for tick in ax.get_xticklabels()]
    ['Circle:Red', 'Circle:Blue', 'Circle:Green', 'Circle:Yellow', 'Circle:Black', 'Circle:White', 'Circle:Purple', 'Circle:Orange', 'Circle:Pink', 'Circle:Brown']
    >>> ax = task_func(7)
    >>> [tick.get_text() for tick in ax.get_xticklabels()]
    ['Circle:Red', 'Circle:Blue', 'Circle:Green', 'Circle:Yellow', 'Circle:Black', 'Circle:White', 'Circle:Purple', 'Circle:Orange', 'Circle:Pink', 'Circle:Brown']
    >>> ax = task_func(6)
    >>> [tick.get_text() for tick in ax.get_xticklabels()]
    ['Circle:Red', 'Circle:Blue', 'Circle:Green', 'Circle:Yellow', 'Circle:Black', 'Circle:White', 'Circle:Purple', 'Circle:Orange', 'Circle:Pink', 'Circle:Brown']
    """

instruct prompt

Generate and display a countplot of predefined shape-color pairs. This function creates a visual representation of a specified number of unique shape-color combinations, each displayed as a bar in the countplot. The shape-color pairs are selected from a predefined list.
The function should output with:
    ax (matplotlib.axes._axes.Axes): The Axes object of the countplot, which can be used for
    further customizations or to retrieve information about the plot.
You should write self-contained code starting with:

Code

import itertools
import seaborn as sns
import matplotlib.pyplot as plt
# Constants
SHAPES = [
    "Circle",
    "Square",
    "Triangle",
    "Rectangle",
    "Pentagon",
    "Hexagon",
    "Heptagon",
    "Octagon",
    "Nonagon",
    "Decagon",
]
COLORS = [
    "Red",
    "Blue",
    "Green",
    "Yellow",
    "Black",
    "White",
    "Purple",
    "Orange",
    "Pink",
    "Brown",
]
def task_func(num_pairs=10):

code prompt

Code

import itertools
import seaborn as sns
import matplotlib.pyplot as plt
# Constants
SHAPES = [
    "Circle",
    "Square",
    "Triangle",
    "Rectangle",
    "Pentagon",
    "Hexagon",
    "Heptagon",
    "Octagon",
    "Nonagon",
    "Decagon",
]
COLORS = [
    "Red",
    "Blue",
    "Green",
    "Yellow",
    "Black",
    "White",
    "Purple",
    "Orange",
    "Pink",
    "Brown",
]
def task_func(num_pairs=10):

entry point

task_func

libs

  • matplotlib
  • itertools
  • seaborn

Discussion

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Source and history

task_id
460978f0-7289-5263-9760-88e016bcb41b
task_key
default--v0~2e1~2e0~5fhf--460978f0-7289-5263-9760-88e016bcb41b
task_revision_id
1
config / split
default / v0.1.0_hf

Official source

initial import