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vlt Launches "reproduce": A New Tool Challenging the Limits of Package Provenance
vlt's new "reproduce" tool verifies npm packages against their source code, outperforming traditional provenance adoption in the JavaScript ecosystem.
The generate-dummyf Python package is a versatile tool for generating dummy files in different formats such as JSON, Excel, DOCX, TXT, and CSV. This package simplifies the process of creating sample data files for testing, development, and other purposes.
Generate dummy data files in Json, Xlsx, Docx, Txt, and Csv formats. Easily specify the file size, the structure (columns and their data type) of files, path for saving your output file. Generate a file with random data for a wide range of use cases.
NOTE: file_size is a mandatory argument for each generate_* function whose value should be in bytes and the size of the output file may not be exactly equal to the user's file_size input
You can install the package using pip:
pip install generate-dummyf
Here's a quick guide on how to use the generate-dummyf package to generate dummy files:
from generate_dummyf import *
json_data = generate_json(file_size=50000)
json_data = generate_json(file_size=50000, column_description={"Contact" : "int", "Name" : "str", "Status": "boolean", "Created_Time": "datetime", "Amount": "float"})
json_data = generate_json(file_size=50000, save_file_path="/home/user-pc/Documents/")
excel_data = generate_excel(file_size=50000)
excel_data = generate_excel(file_size=50000, column_description={"Contact" : "int", "Name" : "str", "Status": "boolean", "Created_Time": "datetime", "Amount": "float"})
excel_data = generate_excel(file_size=50000, save_file_path="/home/user-pc/Documents/")
csv_data = generate_csv(file_size=5000)
csv_data = generate_csv(file_size=5000, column_description={"Contact" : "int", "Name" : "str", "Status": "boolean", "Created_Time": "datetime", "Amount": "float"})
csv_data = generate_csv(file_size=50000, save_file_path="/home/user-pc/Documents/")
docx_data = generate_word(file_size=50000)
docx_data = generate_word(file_size=50000, font_size = 30, save_file_path="/home/user-pc/Documents/")
text_data = generate_txt(file_size=5000)
txt_data = generate_txt(file_size=50000, save_file_path="/home/user-pc/Documents/")
By default, the generated files will be saved in the downloads directory; however, you can manually specify the path using the save_file_path argument
python -m unittest tests/test_csv.py
python -m unittest tests/test_excel.py
python -m unittest tests/test_json.py
python -m unittest tests/test_txt.py
python -m unittest tests/test_word.py
Contributions to generate-dummyf are welcome! If you'd like to contribute to this project, please follow our contribution guidelines.
This project is licensed under the MIT License - see the LICENSE file for details.
If you have any questions, issues, or feature requests, please feel free to open an issue.
FAQs
Generate different types (json, csv, excel, word, txt) of dummy files
We found that generate-dummyf demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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