A tool for fetching and organizing anime datasets for training.
Project description
Python Package Template
This sample repo contains the recommended structure for a Python package.
Setup Instructions
This sample makes use of Dev Containers, in order to leverage this setup, make sure you have Docker installed.
The code in this repo aims to follow Python style guidelines as outlined in PEP 8.
To successfully run this example, we recommend the following VS Code extensions:
In addition to these extension there a few settings that are also useful to enable. You can enable to following settings by opening the Settings editor (Ctrl+,) and searching for the following settings:
- Python > Analysis > Type Checking Mode :
basic - Python > Analysis > Inlay Hints: Function Return Types :
enable - Python > Analysis > Inlay Hints: Variable Types :
enable
Running the Sample
- Open the template folder in VS Code (File > Open Folder...)
- Open the Command Palette in VS Code (View > Command Palette...) and run the Dev Container: Reopen in Container command
- Run the app using the Run and Debug view
- To test, navigate to the Test Panel to configure your Python test or by triggering the Python: Configure Tests command from the Command Palette
- Run tests in the Test Panel or by clicking the Play Button next to the individual tests in the
test_date_time.pyandtest_developer.pyfile
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