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BigCodeBench / BigCodeBench v0.1.0_hf 58c2c161-96b0-591b-9a75-5f1aa8974a16

Problem

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

complete prompt

import re
from nltk import word_tokenize
from collections import Counter

def task_func(input_str):
    """
    Remove all special characters, punctuation marks and spaces from a string called "input _ str" using regex and then count the frequency of each word.

    Parameters:
    input_str (str): The input string.

    Returns:
    dict: A dictionary with the frequency of each word.

    Requirements:
    - re
    - nltk.word_tokenize
    - collections.Counter

    Example:
    >>> task_func('Special $#! characters   spaces 888323')
    Counter({'Special': 1, 'characters': 1, 'spaces': 1, '888323': 1})
    """

instruct prompt

Remove all special characters, punctuation marks and spaces from a string called "input _ str" using regex and then count the frequency of each word.
The function should output with:
    dict: A dictionary with the frequency of each word.
You should write self-contained code starting with:

Code

import re
from nltk import word_tokenize
from collections import Counter
def task_func(input_str):

code prompt

Code

import re
from nltk import word_tokenize
from collections import Counter
def task_func(input_str):

entry point

task_func

libs

  • nltk
  • collections
  • re

Discussion

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Source and history

task_id
58c2c161-96b0-591b-9a75-5f1aa8974a16
task_key
default--v0~2e1~2e0~5fhf--58c2c161-96b0-591b-9a75-5f1aa8974a16
task_revision_id
1
config / split
default / v0.1.0_hf

Official source

initial import