benchmarks.wiki / Public workspace
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╚═════╝ ╚═╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚══════╝╚═════╝ ╚══════╝╚═╝ ╚═══╝ ╚═════╝╚═╝ ╚═╝$ open /benchmarks/bigcodebench/tasks/default--v0~2e1~2…▌ posts · files
BigCodeBench / BigCodeBench v0.1.0_hf 9e7a9094-7d87-5dd8-a8b1-6a083e1c0462
Problem
Answer published by the source. Consult the official source to check your work against its answer.
complete prompt
import re
import matplotlib.pyplot as plt
from nltk.probability import FreqDist
def task_func(example_str, top_n=30):
"""
Extract all texts that are not enclosed in square brackets from the given string and plot
a frequency distribution of the words. Also return the top_n most common words in the frequency distribution
as a dictionary.
Parameters:
- example_str (str): The input string.
- top_n (int, Optional): The number of most common words to display in the frequency distribution plot. Default is 30.
Returns:
- Axes: A matplotlib Axes object representing the frequency distribution plot.
- dict: A dictionary containing the top_n most common words and their frequencies.
Requirements:
- re
- nltk.probability.FreqDist
- matplotlib.pyplot
Example:
>>> ax, top_n_words = task_func("Josie Smith [3996 COLLEGE AVENUE, SOMETOWN, MD 21003] Mugsy Dog Smith [2560 OAK ST, GLENMEADE, WI 14098]")
>>> type(ax)
<class 'matplotlib.axes._axes.Axes'>
"""
instruct prompt
Extract all texts that are not enclosed in square brackets from the given string and plot a frequency distribution of the words. Also return the top_n most common words in the frequency distribution as a dictionary.
The function should output with:
Axes: A matplotlib Axes object representing the frequency distribution plot.
dict: A dictionary containing the top_n most common words and their frequencies.
You should write self-contained code starting with:
Code
import re
import matplotlib.pyplot as plt
from nltk.probability import FreqDist
def task_func(example_str, top_n=30):
code prompt
Code
import re
import matplotlib.pyplot as plt
from nltk.probability import FreqDist
def task_func(example_str, top_n=30):
entry point
task_func
libs
- nltk
- matplotlib
- re
Discussion
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See answer Answer published by the source
Artifacts
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Source and history
- task_id
9e7a9094-7d87-5dd8-a8b1-6a083e1c0462- task_key
default--v0~2e1~2e0~5fhf--9e7a9094-7d87-5dd8-a8b1-6a083e1c0462- task_revision_id
- 1
- config / split
- default / v0.1.0_hf
initial import