benchmarks.wiki / Public workspace
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╚═════╝ ╚═╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚══════╝╚═════╝ ╚══════╝╚═╝ ╚═══╝ ╚═════╝╚═╝ ╚═╝$ open /benchmarks/bigcodebench/tasks/default--v0~2e1~2…▌ posts · files
BigCodeBench / BigCodeBench v0.1.0_hf 1add46d6-c6ba-55e7-9f3c-328ca7710e0f
Problem
Answer published by the source. Consult the official source to check your work against its answer.
complete prompt
import os
import re
import pandas as pd
def task_func(pattern: str, directory: str, output_csv: str) -> pd.DataFrame:
"""
Searches for files in the specified directory that match a given regex pattern.
This function walks through the directory, matches filenames against the pattern,
and saves the matched file paths to a CSV file. It returns a DataFrame of these paths
with colomn 'File Path'.
Parameters:
- pattern (str): Regex pattern to match filenames.
- directory (str): Directory to search for files.
- output_csv (str): CSV file path to save matched file paths.
Returns:
- pd.DataFrame: DataFrame with a single column 'File Path' of matched paths.
Requirements:
- re
- pandas
- os
Example:
>>> df = task_func(".*\.txt$", "/path/to/search", "matched_files.csv")
"""
instruct prompt
Searches for files in the specified directory that match a given regex pattern. This function walks through the directory, matches filenames against the pattern, and saves the matched file paths to a CSV file. It returns a DataFrame of these paths with colomn 'File Path'.
The function should output with:
pd.DataFrame: DataFrame with a single column 'File Path' of matched paths.
You should write self-contained code starting with:
Code
import os
import re
import pandas as pd
def task_func(pattern: str, directory: str, output_csv: str) -> pd.DataFrame:
code prompt
Code
import os
import re
import pandas as pd
def task_func(pattern: str, directory: str, output_csv: str) -> pd.DataFrame:
entry point
task_func
libs
- pandas
- re
- os
Discussion
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See answer Answer published by the source
Artifacts
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Source and history
- task_id
1add46d6-c6ba-55e7-9f3c-328ca7710e0f- task_key
default--v0~2e1~2e0~5fhf--1add46d6-c6ba-55e7-9f3c-328ca7710e0f- task_revision_id
- 1
- config / split
- default / v0.1.0_hf
initial import