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BigCodeBench / BigCodeBench v0.1.0_hf a0338f1a-9e72-5818-a56a-df0d27c38ebc
Problem
Answer published by the source. Consult the official source to check your work against its answer.
complete prompt
from nltk.tokenize import RegexpTokenizer
from string import punctuation
import os
def task_func(text, output_filename):
"""
Extracts words from the input text that begin with the '
$' character and saves them to a specified file,
excluding any words that are solely composed of punctuation characters.
This function is useful for processing texts where '$' is used to denote special terms or entities and saves
these terms to a file for further analysis or usage.
Parameters:
input_text (str): The text from which to extract '$' prefixed words.
output_filename (str): The filename for the output file where the extracted words will be saved.
Returns:
str: The absolute path to the output file containing the '$' prefixed words.
Requirements:
- nltk.tokenize.RegexpTokenizer
- string.punctuation
- os
Example:
>>> example_text = "valid $ alsoInvalid"
>>> task_func(example_text, 'extracted_dollar_words.txt')
'/absolute/path/to/extracted_dollar_words.txt'
"""
Plain-text mathematical notation (without MathML)
from nltk.tokenize import RegexpTokenizer
from string import punctuation
import os
def task_func(text, output_filename):
"""
Extracts words from the input text that begin with the '$' character and saves them to a specified file,
excluding any words that are solely composed of punctuation characters.
This function is useful for processing texts where '$' is used to denote special terms or entities and saves
these terms to a file for further analysis or usage.
Parameters:
input_text (str): The text from which to extract '$' prefixed words.
output_filename (str): The filename for the output file where the extracted words will be saved.
Returns:
str: The absolute path to the output file containing the '$' prefixed words.
Requirements:
- nltk.tokenize.RegexpTokenizer
- string.punctuation
- os
Example:
>>> example_text = "examplevalid !invalid$ alsoInvalid"
>>> task_func(example_text, 'extracted_dollar_words.txt')
'/absolute/path/to/extracted_dollar_words.txt'
"""
Original LaTeX notation
from nltk.tokenize import RegexpTokenizer
from string import punctuation
import os
def task_func(text, output_filename):
"""
Extracts words from the input text that begin with the '$' character and saves them to a specified file,
excluding any words that are solely composed of punctuation characters.
This function is useful for processing texts where '$' is used to denote special terms or entities and saves
these terms to a file for further analysis or usage.
Parameters:
input_text (str): The text from which to extract '$' prefixed words.
output_filename (str): The filename for the output file where the extracted words will be saved.
Returns:
str: The absolute path to the output file containing the '$' prefixed words.
Requirements:
- nltk.tokenize.RegexpTokenizer
- string.punctuation
- os
Example:
>>> example_text = "$example $valid $!invalid $$ alsoInvalid"
>>> task_func(example_text, 'extracted_dollar_words.txt')
'/absolute/path/to/extracted_dollar_words.txt'
"""
instruct prompt
Extracts words from the input text that begin with the '
$' character and saves them to a specified file, excluding any words that are solely composed of punctuation characters. This function is useful for processing texts where '$' is used to denote special terms or entities and saves these terms to a file for further analysis or usage.
The function should output with:
str: The absolute path to the output file containing the '$' prefixed words.
You should write self-contained code starting with:
Plain-text mathematical notation (without MathML)
Extracts words from the input text that begin with the '$' character and saves them to a specified file, excluding any words that are solely composed of punctuation characters. This function is useful for processing texts where '$' is used to denote special terms or entities and saves these terms to a file for further analysis or usage.
The function should output with:
str: The absolute path to the output file containing the '$' prefixed words.
You should write self-contained code starting with:
Original LaTeX notation
Extracts words from the input text that begin with the '$' character and saves them to a specified file, excluding any words that are solely composed of punctuation characters. This function is useful for processing texts where '$' is used to denote special terms or entities and saves these terms to a file for further analysis or usage.
The function should output with:
str: The absolute path to the output file containing the '$' prefixed words.
You should write self-contained code starting with:
Code
from nltk.tokenize import RegexpTokenizer
from string import punctuation
import os
def task_func(text, output_filename):
code prompt
Code
from nltk.tokenize import RegexpTokenizer
from string import punctuation
import os
def task_func(text, output_filename):
entry point
task_func
libs
- nltk
- string
- os
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initial import