chore(pre_commit): enable mdformat with additional dependencies (#2043)

* chore(pre_commit): enable mdformat with additional dependencies
* fix(pre_commit): 🎨 auto format pre-commit hooks
* Fix mdformat-introduced syntax errors in documentation (#2044)

---------

Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Borda <6035284+Borda@users.noreply.github.com>

.github/PULL_REQUEST_TEMPLATE.md

@@ -29,6 +29,7 @@
 ## Motivation and Context
 
 <!-- Why is this change required? What problem does it solve? -->
+
 <!-- If it fixes an open issue, please link to the issue here -->
 
 Closes #(issue)
@@ -52,6 +53,7 @@ Closes #(issue)
 ## Google Colab (optional)
 
 <!-- If applicable, provide a link to a Google Colab notebook demonstrating the feature/fix -->
+
 <!-- Ensure the notebook is publicly accessible -->
 
 Colab link:

.pre-commit-config.yaml

@@ -30,13 +30,14 @@ repos:
       -   id: ruff-format
           types_or: [ python, pyi, jupyter ]
 
-  # - repo: https://github.com/executablebooks/mdformat
-  #   rev: 0.7.17
-  #   hooks:
-  #     - id: mdformat
-  #       additional_dependencies:
-  #         - "mdformat-mkdocs[recommended]>=2.1.0"
-  #       args: ["--number"]
+  - repo: https://github.com/executablebooks/mdformat
+    rev: 0.7.17
+    hooks:
+      - id: mdformat
+        additional_dependencies:
+          - "mdformat-mkdocs[recommended]>=2.1.0"
+        args: ["--number"]
+        exclude: ^docs/
 
   - repo: https://github.com/codespell-project/codespell
     rev: v2.4.1

CODE_OF_CONDUCT.md

@@ -21,20 +21,20 @@ community include:
 - Being respectful of differing opinions, viewpoints, and experiences
 - Giving and gracefully accepting constructive feedback
 - Accepting responsibility and apologizing to those affected by our mistakes,
-  and learning from the experience
+    and learning from the experience
 - Focusing on what is best not just for us as individuals, but for the overall
-  community
+    community
 
 Examples of unacceptable behavior include:
 
 - The use of sexualized language or imagery, and sexual attention or advances of
-  any kind
+    any kind
 - Trolling, insulting or derogatory comments, and personal or political attacks
 - Public or private harassment
 - Publishing others' private information, such as a physical or email address,
-  without their explicit permission
+    without their explicit permission
 - Other conduct which could reasonably be considered inappropriate in a
-  professional setting
+    professional setting
 
 ## Enforcement Responsibilities
 

CONTRIBUTING.md

@@ -161,12 +161,14 @@ Before starting your work on the project, set up your development environment:
 3. **Create and activate a virtual environment:**
 
     **On Linux/macOS:**
+
     ```bash
     python3 -m venv .venv
     source .venv/bin/activate
     ```
 
     **On Windows:**
+
     ```cmd
     python -m venv .venv
     .venv\Scripts\activate
@@ -199,25 +201,28 @@ Furthermore, we have integrated a pre-commit GitHub Action into our workflow. Th
 To run the pre-commit tool, follow these steps:
 
 1. **Install pre-commit** (already included if you followed the installation steps above):
-   ```bash
-   uv sync --group dev
-   ```
+
+    ```bash
+    uv sync --group dev
+    ```
 
 2. **Navigate to the project's root directory** (if not already there).
 
 3. **Run pre-commit checks**:
-   ```bash
-   uv run pre-commit run --all-files
-   ```
 
-   This will execute the pre-commit hooks configured for this project. If any issues are found, the pre-commit tool will provide feedback on how to resolve them. Make the necessary changes and re-run the command until all issues are resolved.
+    ```bash
+    uv run pre-commit run --all-files
+    ```
+
+    This will execute the pre-commit hooks configured for this project. If any issues are found, the pre-commit tool will provide feedback on how to resolve them. Make the necessary changes and re-run the command until all issues are resolved.
 
 4. **Install pre-commit as a git hook** (optional but recommended):
-   ```bash
-   uv run pre-commit install
-   ```
 
-   This will automatically run pre-commit checks every time you make a `git commit`.
+    ```bash
+    uv run pre-commit install
+    ```
+
+    This will automatically run pre-commit checks every time you make a `git commit`.
 
 ### Docstrings
 
@@ -236,14 +241,16 @@ The `supervision` documentation is stored in a folder called `docs`. The project
 To run the documentation locally:
 
 1. **Install documentation dependencies** (if not already installed):
-   ```bash
-   uv sync --group docs
-   ```
+
+    ```bash
+    uv sync --group docs
+    ```
 
 2. **Start the documentation server**:
-   ```bash
-   uv run mkdocs serve
-   ```
+
+    ```bash
+    uv run mkdocs serve
+    ```
 
 3. **Access the documentation** at `http://127.0.0.1:8000` in your browser.
 

README.md

@@ -24,7 +24,7 @@
 [![discord](https://img.shields.io/discord/1159501506232451173?logo=discord&label=discord&labelColor=fff&color=5865f2&link=https%3A%2F%2Fdiscord.gg%2FGbfgXGJ8Bk)](https://discord.gg/GbfgXGJ8Bk)
 [![built-with-material-for-mkdocs](https://img.shields.io/badge/Material_for_MkDocs-526CFE?logo=MaterialForMkDocs&logoColor=white)](https://squidfunk.github.io/mkdocs-material/)
 
-  <div align="center">
+<div align="center">
     <a href="https://trendshift.io/repositories/124"  target="_blank"><img src="https://trendshift.io/api/badge/repositories/124" alt="roboflow%2Fsupervision | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
   </div>
 
@@ -70,21 +70,21 @@ len(detections)
 
 - inference
 
-  Running with [Inference](https://github.com/roboflow/inference) requires a [Roboflow API KEY](https://docs.roboflow.com/api-reference/authentication#retrieve-an-api-key).
+    Running with [Inference](https://github.com/roboflow/inference) requires a [Roboflow API KEY](https://docs.roboflow.com/api-reference/authentication#retrieve-an-api-key).
 
-  ```python
-  import cv2
-  import supervision as sv
-  from inference import get_model
+    ```python
+    import cv2
+    import supervision as sv
+    from inference import get_model
 
-  image = cv2.imread(...)
-  model = get_model(model_id="yolov8s-640", api_key=<ROBOFLOW API KEY>)
-  result = model.infer(image)[0]
-  detections = sv.Detections.from_inference(result)
+    image = cv2.imread(...)
+    model = get_model(model_id="yolov8s-640", api_key=<ROBOFLOW API KEY>)
+    result = model.infer(image)[0]
+    detections = sv.Detections.from_inference(result)
 
-  len(detections)
-  # 5
-  ```
+    len(detections)
+    # 5
+    ```
 
 </details>
 
@@ -100,9 +100,7 @@ image = cv2.imread(...)
 detections = sv.Detections(...)
 
 box_annotator = sv.BoxAnnotator()
-annotated_frame = box_annotator.annotate(
-  scene=image.copy(),
-  detections=detections)
+annotated_frame = box_annotator.annotate(scene=image.copy(), detections=detections)
 ```
 
 https://github.com/roboflow/supervision/assets/26109316/691e219c-0565-4403-9218-ab5644f39bce
@@ -135,88 +133,88 @@ for path, image, annotation in ds:
 
 - load
 
-  ```python
-  dataset = sv.DetectionDataset.from_yolo(
-      images_directory_path=...,
-      annotations_directory_path=...,
-      data_yaml_path=...
-  )
+    ```python
+    dataset = sv.DetectionDataset.from_yolo(
+        images_directory_path=...,
+        annotations_directory_path=...,
+        data_yaml_path=...,
+    )
 
-  dataset = sv.DetectionDataset.from_pascal_voc(
-      images_directory_path=...,
-      annotations_directory_path=...
-  )
+    dataset = sv.DetectionDataset.from_pascal_voc(
+        images_directory_path=...,
+        annotations_directory_path=...,
+    )
 
-  dataset = sv.DetectionDataset.from_coco(
-      images_directory_path=...,
-      annotations_path=...
-  )
-  ```
+    dataset = sv.DetectionDataset.from_coco(
+        images_directory_path=...,
+        annotations_path=...,
+    )
+    ```
 
 - split
 
-  ```python
-  train_dataset, test_dataset = dataset.split(split_ratio=0.7)
-  test_dataset, valid_dataset = test_dataset.split(split_ratio=0.5)
+    ```python
+    train_dataset, test_dataset = dataset.split(split_ratio=0.7)
+    test_dataset, valid_dataset = test_dataset.split(split_ratio=0.5)
 
-  len(train_dataset), len(test_dataset), len(valid_dataset)
-  # (700, 150, 150)
-  ```
+    len(train_dataset), len(test_dataset), len(valid_dataset)
+    # (700, 150, 150)
+    ```
 
 - merge
 
-  ```python
-  ds_1 = sv.DetectionDataset(...)
-  len(ds_1)
-  # 100
-  ds_1.classes
-  # ['dog', 'person']
+    ```python
+    ds_1 = sv.DetectionDataset(...)
+    len(ds_1)
+    # 100
+    ds_1.classes
+    # ['dog', 'person']
 
-  ds_2 = sv.DetectionDataset(...)
-  len(ds_2)
-  # 200
-  ds_2.classes
-  # ['cat']
+    ds_2 = sv.DetectionDataset(...)
+    len(ds_2)
+    # 200
+    ds_2.classes
+    # ['cat']
 
-  ds_merged = sv.DetectionDataset.merge([ds_1, ds_2])
-  len(ds_merged)
-  # 300
-  ds_merged.classes
-  # ['cat', 'dog', 'person']
-  ```
+    ds_merged = sv.DetectionDataset.merge([ds_1, ds_2])
+    len(ds_merged)
+    # 300
+    ds_merged.classes
+    # ['cat', 'dog', 'person']
+    ```
 
 - save
 
-  ```python
-  dataset.as_yolo(
-      images_directory_path=...,
-      annotations_directory_path=...,
-      data_yaml_path=...
-  )
+    ```python
+    dataset.as_yolo(
+        images_directory_path=...,
+        annotations_directory_path=...,
+        data_yaml_path=...,
+    )
 
-  dataset.as_pascal_voc(
-      images_directory_path=...,
-      annotations_directory_path=...
-  )
+    dataset.as_pascal_voc(
+        images_directory_path=...,
+        annotations_directory_path=...,
+    )
 
-  dataset.as_coco(
-      images_directory_path=...,
-      annotations_path=...
-  )
-  ```
+    dataset.as_coco(
+        images_directory_path=...,
+        annotations_path=...,
+    )
+    ```
 
 - convert
 
-  ```python
-  sv.DetectionDataset.from_yolo(
-      images_directory_path=...,
-      annotations_directory_path=...,
-      data_yaml_path=...
-  ).as_pascal_voc(
-      images_directory_path=...,
-      annotations_directory_path=...
-  )
-  ```
+    ```python
+    sv.DetectionDataset.from_yolo(
+        images_directory_path=...,
+        annotations_directory_path=...,
+        data_yaml_path=...,
+    ).as_pascal_voc(
+        images_directory_path=...,
+        annotations_directory_path=...,
+    )
+    ```
 
 </details>