No project description provided
Project description
Foundation Model Inferencing
Setting up Pre-commit for this Repository
Pre-commit helps to manage and maintain code quality by running hooks that perform various checks before a commit is made.
To set up pre-commit for this repository, follow these steps:
-
Install pre-commit. If you're using pip, you can do this by running:
pip install pre-commit -
Navigate to the root directory of the repository where the .pre-commit-config.yaml file is located.
-
Run the following command to install the git hook scripts:
pre-commit install
Now, pre-commit will run automatically on git commit. If you want to manually run all pre-commit hooks on a repository, run:
pre-commit run --all-files
To run a specific pre-commit hook on all files, you can use the run command followed by the ID of the hook. Here's the general syntax:
pre-commit run <hook_id> --all-files
For example, if you want to run the black hook on all files, you would use:
pre-commit run black --all-files
This command will run the black hook on every file in your repository.
Hooks Used in this Repository
This repository uses a variety of hooks to maintain code quality:
- check-added-large-files: Prevents committing large files.
- end-of-file-fixer: Ensures files end with a newline.
- trailing-whitespace: Removes trailing whitespace.
- check-ast: Checks Python AST for syntax errors.
- check-docstring-first: Ensures the first thing in a Python file is a docstring.
- isort: Sorts Python imports.
- add-trailing-comma: Adds trailing commas to Python data structures.
- black: Formats Python code to conform to the PEP 8 style guide.
- flake8: Lints Python code for errors and code style violations.
- pydocstyle: Checks Python docstring conventions.
These hooks are run automatically before each commit once pre-commit is installed.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distribution
File details
Details for the file llm_optimized_inference-0.2.9-py3-none-any.whl.
File metadata
- Download URL: llm_optimized_inference-0.2.9-py3-none-any.whl
- Upload date:
- Size: 78.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | d050cc08b939dff855e541ec0e2b8503320737bb19cb0f72d1033309295a3027 |
|
| MD5 | 72947ec5225f8ac28ab44acee30ee6b3 |
|
| BLAKE2b-256 | 5a5c8308610a07bc2c23ce0f56f7d0176a9bc7c296eabbb7c97b33a996c3b746 |
