benchmarks.wiki / Public workspace
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╚═════╝ ╚═╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚══════╝╚═════╝ ╚══════╝╚═╝ ╚═══╝ ╚═════╝╚═╝ ╚═╝$ open /benchmarks/bigcodebench/tasks/default--v0~2e1~2…▌ posts · files
BigCodeBench / BigCodeBench v0.1.0_hf 9d95a4f7-82ec-5bc9-8f77-4aef7110efcf
Problem
Answer published by the source. Consult the official source to check your work against its answer.
complete prompt
import os
import glob
import csv
def task_func(directory_path, file_extension='.csv'):
"""
Reads all files with a specified extension in a given directory and returns their data in a dictionary.
- Reads all files with the specified extension in the given directory.
- Uses the filename without the extension as a key in the output dictionary.
- The value for each key is a list of rows from the file, where each row is represented as a list of values.
Parameters:
- directory_path (str): The path to the directory containing the files.
- file_extension (str, optional): The file extension to look for. Default is '.csv'.
Returns:
- Returns a dictionary where each key is the filename (without extension) and the value is a list of rows from the file.
Requirements:
- os
- glob
- csv
Example:
>>> data = task_func('/home/user/data')
>>> print(data['file1'])
[['header1', 'header2'], ['row1_col1', 'row1_col2'], ['row2_col1', 'row2_col2']]
>>> data = task_func('/home/user/data', '.txt')
>>> print(data)
{}
"""
instruct prompt
Reads all files with a specified extension in a given directory and returns their data in a dictionary. - Reads all files with the specified extension in the given directory. - Uses the filename without the extension as a key in the output dictionary. - The value for each key is a list of rows from the file, where each row is represented as a list of values. >>> data = task_func('/home/user/data', '.txt') >>> print(data) {}
The function should output with:
Returns a dictionary where each key is the filename (without extension) and the value is a list of rows from the file.
You should write self-contained code starting with:
Code
import os
import glob
import csv
def task_func(directory_path, file_extension='.csv'):
code prompt
Code
import os
import glob
import csv
def task_func(directory_path, file_extension='.csv'):
entry point
task_func
libs
- glob
- csv
- os
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
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Source and history
- task_id
9d95a4f7-82ec-5bc9-8f77-4aef7110efcf- task_key
default--v0~2e1~2e0~5fhf--9d95a4f7-82ec-5bc9-8f77-4aef7110efcf- task_revision_id
- 1
- config / split
- default / v0.1.0_hf
initial import