BigCodeBench / BigCodeBench v0.1.0_hf 0bbf393f-c8a3-5686-8120-c12d42978dcd

complete prompt

import pandas as pd
import regex as re

# Constants
STOPWORDS = ["a", "an", "the", "in", "is", "are"]


def task_func(text):
    """
    Count the frequency of each word in a text after removing specific stopwords.

    Parameters:
    text (str): The text to analyze.

    Returns:
    Series: A pandas Series with word frequencies excluding the words in STOPWORDS list.

    Requirements:
    - pandas
    - regex

    Example:
    >>> text = "This is a sample text. This text contains sample words."
    >>> word_counts = task_func(text)
    >>> print(word_counts)
    this        2
    sample      2
    text        2
    contains    1
    words       1
    dtype: int64
    """

instruct prompt

Count the frequency of each word in a text after removing specific stopwords.
The function should output with:
    Series: A pandas Series with word frequencies excluding the words in STOPWORDS list.
You should write self-contained code starting with:

Code

import pandas as pd
import regex as re
# Constants
STOPWORDS = ["a", "an", "the", "in", "is", "are"]
def task_func(text):

code prompt

Code

import pandas as pd
import regex as re
# Constants
STOPWORDS = ["a", "an", "the", "in", "is", "are"]
def task_func(text):

entry point

task_func

libs

• regex
• pandas