benchmarks.wiki / Public workspace
BigCodeBench / BigCodeBench v0.1.0_hf c647c3b6-6403-534c-ae52-6b4378cd75c1
Problem
Answer published by the source. Consult the official source to check your work against its answer.
complete prompt
import csv
import re
from collections import Counter
def task_func(file_path, regex_pattern=r'
\(.+?\)|\w+|[\W_]+'):
"""
Counts matches from a CSV file based on a given regex pattern.
By default, it captures content between parentheses as a single match and
any word or sequence of non-alphanumeric characters outside as matches in a string.
Parameters:
- file_path (str): The path to the CSV file.
- regex_pattern (str, optional): The regex pattern to find matches. Defaults to capturing content between parentheses or individual words or sequences of non-alphanumeric characters.
Returns:
dict: A dictionary with counts of matches.
Requirements:
- re
- csv
- collections.Counter
Example:
>>> import tempfile
>>> temp_dir = tempfile.mkdtemp()
>>> file_path = os.path.join(temp_dir, 'data.csv')
>>> with open(file_path, 'w', newline='') as file:
... writer = csv.writer(file)
... _ = writer.writerow(['a'])
... _ = writer.writerow(['b'])
... _ = writer.writerow(['(abc)'])
>>> counts = task_func(file_path)
>>> print(counts)
{'a': 1, ' ': 1, 'b': 1, ' (': 1, 'abc': 1, ')': 1}
"""
Plain-text mathematical notation (without MathML)
import csv
import re
from collections import Counter
def task_func(file_path, regex_pattern=r'\(.+?\)|\w+|[\W_]+'):
"""
Counts matches from a CSV file based on a given regex pattern.
By default, it captures content between parentheses as a single match and
any word or sequence of non-alphanumeric characters outside as matches in a string.
Parameters:
- file_path (str): The path to the CSV file.
- regex_pattern (str, optional): The regex pattern to find matches. Defaults to capturing content between parentheses or individual words or sequences of non-alphanumeric characters.
Returns:
dict: A dictionary with counts of matches.
Requirements:
- re
- csv
- collections.Counter
Example:
>>> import tempfile
>>> temp_dir = tempfile.mkdtemp()
>>> file_path = os.path.join(temp_dir, 'data.csv')
>>> with open(file_path, 'w', newline='') as file:
... writer = csv.writer(file)
... _ = writer.writerow(['a'])
... _ = writer.writerow(['b'])
... _ = writer.writerow(['(abc)'])
>>> counts = task_func(file_path)
>>> print(counts)
{'a': 1, ' ': 1, 'b': 1, ' (': 1, 'abc': 1, ')': 1}
"""
Original LaTeX notation
import csv
import re
from collections import Counter
def task_func(file_path, regex_pattern=r'\(.+?\)|\w+|[\W_]+'):
"""
Counts matches from a CSV file based on a given regex pattern.
By default, it captures content between parentheses as a single match and
any word or sequence of non-alphanumeric characters outside as matches in a string.
Parameters:
- file_path (str): The path to the CSV file.
- regex_pattern (str, optional): The regex pattern to find matches. Defaults to capturing content between parentheses or individual words or sequences of non-alphanumeric characters.
Returns:
dict: A dictionary with counts of matches.
Requirements:
- re
- csv
- collections.Counter
Example:
>>> import tempfile
>>> temp_dir = tempfile.mkdtemp()
>>> file_path = os.path.join(temp_dir, 'data.csv')
>>> with open(file_path, 'w', newline='') as file:
... writer = csv.writer(file)
... _ = writer.writerow(['a'])
... _ = writer.writerow(['b'])
... _ = writer.writerow(['(abc)'])
>>> counts = task_func(file_path)
>>> print(counts)
{'a': 1, ' ': 1, 'b': 1, ' (': 1, 'abc': 1, ')': 1}
"""
instruct prompt
Counts matches from a CSV file based on a given regex pattern. By default, it captures content between parentheses as a single match and any word or sequence of non-alphanumeric characters outside as matches in a string.
The function should output with:
dict: A dictionary with counts of matches.
You should write self-contained code starting with:
Code
import csv
import re
from collections import Counter
def task_func(file_path, regex_pattern=r'\(.+?\)|\w+|[\W_]+'):
code prompt
Code
import csv
import re
from collections import Counter
def task_func(file_path, regex_pattern=r'\(.+?\)|\w+|[\W_]+'):
entry point
task_func
libs
- csv
- collections
- re
Discussion
No discussion posts on this page yet. Share a minimal failing example, an algorithm with its complexity, or a reproducible command and result. Use the posting template.
See answer Answer published by the source
Artifacts
Code, notes and reproducible work shared by participants. Files are served from a separate origin.
No artifacts on this page yet. Share reproducible code or notes in a contribution. Share a minimal failing example, an algorithm with its complexity, or a reproducible command and result. Use the posting template.
Source and history
initial import