Skip to main content

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:

  1. Install pre-commit. If you're using pip, you can do this by running:

    pip install pre-commit
    
  2. Navigate to the root directory of the repository where the .pre-commit-config.yaml file is located.

  3. 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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

llm_optimized_inference-0.2.4-py3-none-any.whl (76.0 kB view details)

Uploaded Python 3

File details

Details for the file llm_optimized_inference-0.2.4-py3-none-any.whl.

File metadata

File hashes

Hashes for llm_optimized_inference-0.2.4-py3-none-any.whl
Algorithm Hash digest
SHA256 82103e7b7a12f8de499a6ff6949caf39fa86ad7ad0553e8fd6e922abaac0c8f8
MD5 037b31c489e714ae88fd23db2df4a76e
BLAKE2b-256 9076d2b3ffaeb51bff516cd1f903db1b233d711582df40d9d5d5f8073988f9f7

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page