Merge pull request #7 from mbsantiago/feature/arrays

Implement soundevent.arrays Module for Enhanced DataArray Workflows

.github/workflows/test.yml

@@ -21,15 +21,11 @@ jobs:
         run: |
           sudo apt-get update && sudo apt-get install libsndfile1
           python -m pip install --upgrade pip
-          python -m pip install pytest hypothesis ruff mypy black html5lib
+          python -m pip install pytest hypothesis ruff pyright html5lib
           python -m pip install ".[all]"
-      - name: Check format is correct
-        run: |
-          black --check src
-          black --check tests
       - name: Make sure types are consistent
-        run: mypy --ignore-missing-imports src
+        run: pyright src
       - name: Lint with ruff
-        run: ruff src
+        run: ruff check src
       - name: Test with pytest
         run: pytest tests

Makefile

@@ -23,16 +23,20 @@ install:          ## Install the project in dev mode.
 
 .PHONY: fmt
 fmt:              ## Format code using black & isort.
-	$(ENV_PREFIX)isort $(PROJECT_NAME)/
-	$(ENV_PREFIX)black $(PROJECT_NAME)/
-	$(ENV_PREFIX)black tests/
+	$(ENV_PREFIX)ruff format $(PROJECT_NAME)/
+	$(ENV_PREFIX)ruff format tests/
+
+.PHONY: lint-mypy
+lint-pyright:
+	$(ENV_PREFIX)pyright $(PROJECT_NAME)/
+
+.PHONY: lint-ruff
+lint-ruff:
+	$(ENV_PREFIX)ruff check $(PROJECT_NAME)/
+	$(ENV_PREFIX)ruff check tests/
 
 .PHONY: lint
-lint:             ## Run ruff, black, mypy linters.
-	$(ENV_PREFIX)ruff $(PROJECT_NAME)/
-	$(ENV_PREFIX)black --check $(PROJECT_NAME)/
-	$(ENV_PREFIX)black --check tests/
-	$(ENV_PREFIX)mypy $(PROJECT_NAME)/ --config-file pyproject.toml
+lint: lint-mypy lint-ruff
 
 .PHONY: test-watch
 test-watch:    ## Run tests and generate coverage report.

docs/data_schemas/index.md

@@ -19,7 +19,7 @@ objects encountered in bioacoustic analysis. These include:
 
 Delving into the core of acoustic analysis, we have schemas for:
 
-- [Recordings](audio_content.md#recordins): Complete audio files.
+- [Recordings](audio_content.md#recordings): Complete audio files.
 - [Dataset](audio_content.md#datasets): A collection of recordings from a common
   source.
 

docs/reference/arrays.md

@@ -0,0 +1,30 @@
+# Arrays Module
+
+???+ info "Additional dependencies"
+
+    To use the `soundevent.arrays` module you need to install some additional
+    dependencies. Make sure you have them installed by running the following
+    command:
+
+    ```bash
+    pip install soundevent[audio]
+    ```
+
+::: soundevent.arrays
+    options:
+        members: false
+
+
+::: soundevent.arrays.dimensions
+    options:
+        show_root_members_full_path: true
+
+
+::: soundevent.arrays.attributes
+    options:
+        show_root_members_full_path: true
+
+
+::: soundevent.arrays.operations
+    options:
+        show_root_members_full_path: true

docs/user_guide/1_saving_and_loading.py

@@ -1,4 +1,4 @@
-"""# Saving and Loading data
+"""# Saving and Loading data.
 
 In `soundevent`, we use the **Acoustic Objects Exchange Format** (**AOEF**) for
 storing and exchanging audio objects. **AOEF** is a JSON-based format
@@ -88,8 +88,8 @@
 # ### Loading Annotation Projects
 # The [`load`][soundevent.io.load]
 # function can be used to load the annotations into Python and obtain an
-# [`AnnotationProject`](../../data_schemas/annotation.md#annotation_projects) object
-# directly.
+# [`AnnotationProject`](../../data_schemas/annotation.md#annotation_project)
+# object directly.
 
 nips4b_sample = io.load(annotation_path, type="annotation_set")
 print(repr(nips4b_sample))
@@ -130,8 +130,8 @@
 # [`save`][soundevent.io.save] and
 # [`load`][soundevent.io.load] functions, respectively. The
 # loading function reads the **AOEF** file and returns a
-# [`ModelRun`](../../data_schemas/prediction.md#model_run) object that can be used
-# for further analysis.
+# [`ModelRun`](../../data_schemas/prediction.md#model_runs) object that can be
+# used for further analysis.
 #
 # By utilizing the saving and loading functions provided by soundevent, you can
 # easily manage and exchange acoustic data objects in AOEF format, promoting

docs/user_guide/2_loading_audio.py

@@ -6,7 +6,7 @@
 [`xarray.DataArray`][xarray.DataArray] objects to hold loaded audio data.
 [`xarray.DataArray`][xarray.DataArray] objects are an extension of
 [`numpy`][numpy.ndarray] arrays, so there's no need to learn new concepts
-if you are already familiar with [`numpy`][numpy.ndarray] arrays. 
+if you are already familiar with [`numpy`][numpy.ndarray] arrays.
 
 
 !!! note "Why use `xarray.DataArray` objects?"

docs/user_guide/example_dataset.json

@@ -1 +1 @@
-{"version":"1.1.0","created_on":"2023-11-27T19:53:00.688910","data":{"uuid":"b1096756-eea2-4489-9e6a-b98b559647bb","collection_type":"dataset","created_on":"2023-11-21T13:43:14.742002","recordings":[{"uuid":"89957d47-f67d-4bfe-8352-bf0fe5a8ce3e","path":"recording1.wav","duration":10.0,"channels":1,"samplerate":44100,"time_expansion":10.0,"hash":"1234567890abcdef","date":"2021-01-01","time":"21:34:56","latitude":12.345,"longitude":34.567,"tags":[0,1,2],"features":{"SNR":10.0,"ACI":0.5},"notes":[{"uuid":"2931b864-43e4-4fb1-aae1-a214dccca6e3","message":"This is a note.","created_by":"04ef3927-3a3d-40df-9d6e-2cc5e21482a0","is_issue":false,"created_on":"2023-11-21T13:43:14.742073"}],"owners":["d6eb0862-a619-4919-992c-eb3625692c13"]},{"uuid":"bd30f886-3abb-475b-aacb-c7148a4d4420","path":"recording2.wav","duration":8.0,"channels":1,"samplerate":441000,"time_expansion":10.0,"hash":"234567890abcdef1","date":"2021-01-02","time":"19:34:56","latitude":13.345,"longitude":32.567,"tags":[3,4,5],"features":{"SNR":7.0,"ACI":0.3},"notes":[{"uuid":"713b6c15-0e3d-4cc5-acc6-3f1093209a40","message":"Unsure about the species.","created_by":"04ef3927-3a3d-40df-9d6e-2cc5e21482a0","is_issue":false,"created_on":"2023-11-21T13:43:14.742147"}],"owners":["d6eb0862-a619-4919-992c-eb3625692c13"]}],"tags":[{"id":0,"key":"species","value":"Myotis myotis"},{"id":1,"key":"sex","value":"female"},{"id":2,"key":"behaviour","value":"foraging"},{"id":3,"key":"species","value":"Eptesicus serotinus"},{"id":4,"key":"sex","value":"male"},{"id":5,"key":"behaviour","value":"social calls"}],"users":[{"uuid":"04ef3927-3a3d-40df-9d6e-2cc5e21482a0","name":"John Doe"},{"uuid":"d6eb0862-a619-4919-992c-eb3625692c13","email":"[email protected]","name":"Data Collector"}],"name":"test_dataset","description":"A test dataset"}}
+{"version":"1.1.0","created_on":"2024-05-05T17:07:27.856998","data":{"uuid":"b1096756-eea2-4489-9e6a-b98b559647bb","collection_type":"dataset","created_on":"2023-11-21T13:43:14.742002","recordings":[{"uuid":"89957d47-f67d-4bfe-8352-bf0fe5a8ce3e","path":"recording1.wav","duration":10.0,"channels":1,"samplerate":44100,"time_expansion":10.0,"hash":"1234567890abcdef","date":"2021-01-01","time":"21:34:56","latitude":12.345,"longitude":34.567,"tags":[0,1,2],"features":{"SNR":10.0,"ACI":0.5},"notes":[{"uuid":"2931b864-43e4-4fb1-aae1-a214dccca6e3","message":"This is a note.","created_by":"04ef3927-3a3d-40df-9d6e-2cc5e21482a0","is_issue":false,"created_on":"2023-11-21T13:43:14.742073"}],"owners":["d6eb0862-a619-4919-992c-eb3625692c13"]},{"uuid":"bd30f886-3abb-475b-aacb-c7148a4d4420","path":"recording2.wav","duration":8.0,"channels":1,"samplerate":441000,"time_expansion":10.0,"hash":"234567890abcdef1","date":"2021-01-02","time":"19:34:56","latitude":13.345,"longitude":32.567,"tags":[3,4,5],"features":{"SNR":7.0,"ACI":0.3},"notes":[{"uuid":"713b6c15-0e3d-4cc5-acc6-3f1093209a40","message":"Unsure about the species.","created_by":"04ef3927-3a3d-40df-9d6e-2cc5e21482a0","is_issue":false,"created_on":"2023-11-21T13:43:14.742147"}],"owners":["d6eb0862-a619-4919-992c-eb3625692c13"]}],"tags":[{"id":0,"key":"species","value":"Myotis myotis"},{"id":1,"key":"sex","value":"female"},{"id":2,"key":"behaviour","value":"foraging"},{"id":3,"key":"species","value":"Eptesicus serotinus"},{"id":4,"key":"sex","value":"male"},{"id":5,"key":"behaviour","value":"social calls"}],"users":[{"uuid":"04ef3927-3a3d-40df-9d6e-2cc5e21482a0","name":"John Doe"},{"uuid":"d6eb0862-a619-4919-992c-eb3625692c13","email":"[email protected]","name":"Data Collector"}],"name":"test_dataset","description":"A test dataset"}}

docs/user_guide/nips4b_plus_sample.json

@@ -1 +1 @@
-{"version":"1.1.0","created_on":"2023-11-27T19:53:01.364978","data":{"uuid":"c18624a1-8145-4657-a3f1-b3512134ecf6","collection_type":"annotation_set","recordings":[{"uuid":"8392b0ff-293f-4d5b-bc1b-d40d2a0eb0dc","path":"train/nips4b_birds_trainfile079.wav","duration":5.00390022675737,"channels":1,"samplerate":44100,"owners":[]},{"uuid":"35e120d0-1633-4864-88c9-063aca992747","path":"train/nips4b_birds_trainfile237.wav","duration":5.00390022675737,"channels":1,"samplerate":44100,"owners":[]},{"uuid":"7ee23c44-1bc6-4833-8d66-14aa4a8e8634","path":"train/nips4b_birds_trainfile587.wav","duration":5.00390022675737,"channels":1,"samplerate":44100,"owners":[]},{"uuid":"24eceb91-535e-42f0-80e4-8c670465bac8","path":"train/nips4b_birds_trainfile106.wav","duration":4.069297052154195,"channels":1,"samplerate":44100,"owners":[]},{"uuid":"24dd23da-ca07-40eb-80e6-af8b6b2a75ee","path":"train/nips4b_birds_trainfile430.wav","duration":5.00390022675737,"channels":1,"samplerate":44100,"owners":[]},{"uuid":"8954beed-21d0-4f20-98bd-58c14264d853","path":"train/nips4b_birds_trainfile661.wav","duration":1.3873922902494331,"channels":1,"samplerate":44100,"owners":[]},{"uuid":"69f7bf42-087a-4d88-b312-f26688597974","path":"train/nips4b_birds_trainfile429.wav","duration":5.00390022675737,"channels":1,"samplerate":44100,"owners":[]},{"uuid":"b98b5a59-3518-45e5-9306-67c522540ae1","path":"train/nips4b_birds_trainfile633.wav","duration":5.00390022675737,"channels":1,"samplerate":44100,"owners":[]},{"uuid":"52e329a3-afbb-475e-938c-f70c88580723","path":"train/nips4b_birds_trainfile200.wav","duration":5.00390022675737,"channels":1,"samplerate":44100,"owners":[]},{"uuid":"6eeca672-f3ec-41ca-a551-54ddec0dd1a7","path":"train/nips4b_birds_trainfile545.wav","duration":2.7921995464852607,"channels":1,"samplerate":44100,"owners":[]}],"clips":[{"uuid":"b283a71f-4aa8-4ee2-ac83-7c7d5d0af2bc","recording":"8392b0ff-293f-4d5b-bc1b-d40d2a0eb0dc","start_time":0.0,"end_time":5.00390022675737},{"uuid":"e2ec7571-bfe1-4682-8d4d-15e3e34edfc9","recording":"35e120d0-1633-4864-88c9-063aca992747","start_time":0.0,"end_time":5.00390022675737},{"uuid":"ab5bcc8f-078e-4194-97a4-763998d289fa","recording":"7ee23c44-1bc6-4833-8d66-14aa4a8e8634","start_time":0.0,"end_time":5.00390022675737},{"uuid":"dd9ad126-8b15-4121-84f5-f59dc3f85802","recording":"24eceb91-535e-42f0-80e4-8c670465bac8","start_time":0.0,"end_time":4.069297052154195},{"uuid":"0a53e14f-f51c-4ade-9567-87c2b02bd197","recording":"24dd23da-ca07-40eb-80e6-af8b6b2a75ee","start_time":0.0,"end_time":5.00390022675737},{"uuid":"ae455d97-d1fa-43a1-b179-907bee8471e6","recording":"8954beed-21d0-4f20-98bd-58c14264d853","start_time":0.0,"end_time":1.3873922902494331},{"uuid":"0b42c9e1-0289-4f03-b3cb-10859a80103e","recording":"69f7bf42-087a-4d88-b312-f26688597974","start_time":0.0,"end_time":5.00390022675737},{"uuid":"56329c3c-5beb-48ed-8a79-be4e9bd2d9ed","recording":"b98b5a59-3518-45e5-9306-67c522540ae1","start_time":0.0,"end_time":5.00390022675737},{"uuid":"57e0b23a-8663-49f3-8455-997e0f4d2b49","recording":"52e329a3-afbb-475e-938c-f70c88580723","start_time":0.0,"end_time":5.00390022675737},{"uuid":"c7b6f927-fd3b-40ac-9b25-d682eec2d3ac","recording":"6eeca672-f3ec-41ca-a551-54ddec0dd1a7","start_time":0.0,"end_time":2.7921995464852607}],"clip_annotations":[{"uuid":"0e7a786e-48e4-4424-a8da-bf080bdefd9e","clip":"b283a71f-4aa8-4ee2-ac83-7c7d5d0af2bc","created_on":"2023-11-23T20:44:32.913233"},{"uuid":"af9713a7-2bf4-45df-bdff-63d47de34d71","clip":"e2ec7571-bfe1-4682-8d4d-15e3e34edfc9","created_on":"2023-11-23T20:44:32.913255"},{"uuid":"70738dff-3c98-4838-979c-0ed073edd0ea","clip":"ab5bcc8f-078e-4194-97a4-763998d289fa","created_on":"2023-11-23T20:44:32.913264"},{"uuid":"fa0fc36e-0c1a-450f-900b-5a32df17a159","clip":"dd9ad126-8b15-4121-84f5-f59dc3f85802","created_on":"2023-11-23T20:44:32.913377"},{"uuid":"178bf156-2bab-4970-8a76-4abfdc4b31b7","clip":"0a53e14f-f51c-4ade-9567-87c2b02bd197","created_on":"2023-11-23T20:44:32.913386"},{"uuid":"dc71d06a-54d6-4fad-ac6a-205bbee7ec96","clip":"ae455d97-d1fa-43a1-b179-907bee8471e6","created_on":"2023-11-23T20:44:32.913392"},{"uuid":"b418abd6-52cc-4ef4-9725-33d3d38b7878","clip":"0b42c9e1-0289-4f03-b3cb-10859a80103e","created_on":"2023-11-23T20:44:32.913400"},{"uuid":"d18ca56f-2f13-44dd-be43-f995e4d2edb6","clip":"56329c3c-5beb-48ed-8a79-be4e9bd2d9ed","created_on":"2023-11-23T20:44:32.913415"},{"uuid":"8dfa7d26-5f8b-4f37-bf0a-c031373b22f7","clip":"57e0b23a-8663-49f3-8455-997e0f4d2b49","created_on":"2023-11-23T20:44:32.913430"},{"uuid":"ebc5e8d0-bd3e-4d01-95e0-d9a0ce337ac9","clip":"c7b6f927-fd3b-40ac-9b25-d682eec2d3ac","created_on":"2023-11-23T20:44:32.913437"}],"created_on":"2023-11-23T20:44:32.913488"}}
+{"version":"1.1.0","created_on":"2024-05-05T17:07:28.277844","data":{"uuid":"c18624a1-8145-4657-a3f1-b3512134ecf6","collection_type":"annotation_set","recordings":[{"uuid":"8392b0ff-293f-4d5b-bc1b-d40d2a0eb0dc","path":"train/nips4b_birds_trainfile079.wav","duration":5.00390022675737,"channels":1,"samplerate":44100,"owners":[]},{"uuid":"35e120d0-1633-4864-88c9-063aca992747","path":"train/nips4b_birds_trainfile237.wav","duration":5.00390022675737,"channels":1,"samplerate":44100,"owners":[]},{"uuid":"7ee23c44-1bc6-4833-8d66-14aa4a8e8634","path":"train/nips4b_birds_trainfile587.wav","duration":5.00390022675737,"channels":1,"samplerate":44100,"owners":[]},{"uuid":"24eceb91-535e-42f0-80e4-8c670465bac8","path":"train/nips4b_birds_trainfile106.wav","duration":4.069297052154195,"channels":1,"samplerate":44100,"owners":[]},{"uuid":"24dd23da-ca07-40eb-80e6-af8b6b2a75ee","path":"train/nips4b_birds_trainfile430.wav","duration":5.00390022675737,"channels":1,"samplerate":44100,"owners":[]},{"uuid":"8954beed-21d0-4f20-98bd-58c14264d853","path":"train/nips4b_birds_trainfile661.wav","duration":1.3873922902494331,"channels":1,"samplerate":44100,"owners":[]},{"uuid":"69f7bf42-087a-4d88-b312-f26688597974","path":"train/nips4b_birds_trainfile429.wav","duration":5.00390022675737,"channels":1,"samplerate":44100,"owners":[]},{"uuid":"b98b5a59-3518-45e5-9306-67c522540ae1","path":"train/nips4b_birds_trainfile633.wav","duration":5.00390022675737,"channels":1,"samplerate":44100,"owners":[]},{"uuid":"52e329a3-afbb-475e-938c-f70c88580723","path":"train/nips4b_birds_trainfile200.wav","duration":5.00390022675737,"channels":1,"samplerate":44100,"owners":[]},{"uuid":"6eeca672-f3ec-41ca-a551-54ddec0dd1a7","path":"train/nips4b_birds_trainfile545.wav","duration":2.7921995464852607,"channels":1,"samplerate":44100,"owners":[]}],"clips":[{"uuid":"b283a71f-4aa8-4ee2-ac83-7c7d5d0af2bc","recording":"8392b0ff-293f-4d5b-bc1b-d40d2a0eb0dc","start_time":0.0,"end_time":5.00390022675737},{"uuid":"e2ec7571-bfe1-4682-8d4d-15e3e34edfc9","recording":"35e120d0-1633-4864-88c9-063aca992747","start_time":0.0,"end_time":5.00390022675737},{"uuid":"ab5bcc8f-078e-4194-97a4-763998d289fa","recording":"7ee23c44-1bc6-4833-8d66-14aa4a8e8634","start_time":0.0,"end_time":5.00390022675737},{"uuid":"dd9ad126-8b15-4121-84f5-f59dc3f85802","recording":"24eceb91-535e-42f0-80e4-8c670465bac8","start_time":0.0,"end_time":4.069297052154195},{"uuid":"0a53e14f-f51c-4ade-9567-87c2b02bd197","recording":"24dd23da-ca07-40eb-80e6-af8b6b2a75ee","start_time":0.0,"end_time":5.00390022675737},{"uuid":"ae455d97-d1fa-43a1-b179-907bee8471e6","recording":"8954beed-21d0-4f20-98bd-58c14264d853","start_time":0.0,"end_time":1.3873922902494331},{"uuid":"0b42c9e1-0289-4f03-b3cb-10859a80103e","recording":"69f7bf42-087a-4d88-b312-f26688597974","start_time":0.0,"end_time":5.00390022675737},{"uuid":"56329c3c-5beb-48ed-8a79-be4e9bd2d9ed","recording":"b98b5a59-3518-45e5-9306-67c522540ae1","start_time":0.0,"end_time":5.00390022675737},{"uuid":"57e0b23a-8663-49f3-8455-997e0f4d2b49","recording":"52e329a3-afbb-475e-938c-f70c88580723","start_time":0.0,"end_time":5.00390022675737},{"uuid":"c7b6f927-fd3b-40ac-9b25-d682eec2d3ac","recording":"6eeca672-f3ec-41ca-a551-54ddec0dd1a7","start_time":0.0,"end_time":2.7921995464852607}],"clip_annotations":[{"uuid":"0e7a786e-48e4-4424-a8da-bf080bdefd9e","clip":"b283a71f-4aa8-4ee2-ac83-7c7d5d0af2bc","created_on":"2023-11-23T20:44:32.913233"},{"uuid":"af9713a7-2bf4-45df-bdff-63d47de34d71","clip":"e2ec7571-bfe1-4682-8d4d-15e3e34edfc9","created_on":"2023-11-23T20:44:32.913255"},{"uuid":"70738dff-3c98-4838-979c-0ed073edd0ea","clip":"ab5bcc8f-078e-4194-97a4-763998d289fa","created_on":"2023-11-23T20:44:32.913264"},{"uuid":"fa0fc36e-0c1a-450f-900b-5a32df17a159","clip":"dd9ad126-8b15-4121-84f5-f59dc3f85802","created_on":"2023-11-23T20:44:32.913377"},{"uuid":"178bf156-2bab-4970-8a76-4abfdc4b31b7","clip":"0a53e14f-f51c-4ade-9567-87c2b02bd197","created_on":"2023-11-23T20:44:32.913386"},{"uuid":"dc71d06a-54d6-4fad-ac6a-205bbee7ec96","clip":"ae455d97-d1fa-43a1-b179-907bee8471e6","created_on":"2023-11-23T20:44:32.913392"},{"uuid":"b418abd6-52cc-4ef4-9725-33d3d38b7878","clip":"0b42c9e1-0289-4f03-b3cb-10859a80103e","created_on":"2023-11-23T20:44:32.913400"},{"uuid":"d18ca56f-2f13-44dd-be43-f995e4d2edb6","clip":"56329c3c-5beb-48ed-8a79-be4e9bd2d9ed","created_on":"2023-11-23T20:44:32.913415"},{"uuid":"8dfa7d26-5f8b-4f37-bf0a-c031373b22f7","clip":"57e0b23a-8663-49f3-8455-997e0f4d2b49","created_on":"2023-11-23T20:44:32.913430"},{"uuid":"ebc5e8d0-bd3e-4d01-95e0-d9a0ce337ac9","clip":"c7b6f927-fd3b-40ac-9b25-d682eec2d3ac","created_on":"2023-11-23T20:44:32.913437"}],"created_on":"2023-11-23T20:44:32.913488"}}

mkdocs.yml

@@ -15,6 +15,7 @@ nav:
   - Reference:
       - data: reference/data.md
       - io: reference/io.md
+      - arrays: reference/arrays.md
       - audio: reference/audio.md
       - geometry: reference/geometry.md
       - evaluation: reference/evaluation.md
@@ -100,6 +101,9 @@ markdown_extensions:
   - pymdownx.critic
   - pymdownx.keys
   - pymdownx.details
+  - pymdownx.emoji:
+      emoji_index: !!python/name:material.extensions.emoji.twemoji
+      emoji_generator: !!python/name:material.extensions.emoji.to_svg
   - pymdownx.superfences:
       preserve_tabs: true
       custom_fences:

pyproject.toml

@@ -36,13 +36,11 @@ all = [
 requires = ["pdm-backend"]
 build-backend = "pdm.backend"
 
-[tool.pdm]
-[tool.pdm.dev-dependencies]
-dev = [
+[tool]
+rye = { dev-dependencies = [
+    "icecream>=2.1.3",
     "pytest>=7.4.0",
     "coverage[toml]>=7.3.2",
-    "black>=23.3.0",
-    "mypy>=1.4.1",
     "pytest-coverage>=0.0",
     "mkdocs>=1.2.4",
     "importlib-metadata>=4.3",
@@ -57,19 +55,8 @@ dev = [
     "pytest-watch>=4.2.0",
     "pytest-testmon>=2.0.12",
     "html5lib>=1.1",
-]
-
-[tool.docformatter]
-style = "numpy"
-wrap-summaries = 79
-wrap-descriptions = 79
-
-[tool.black]
-line-length = 79
-
-[tool.isort]
-profile = "black"
-line_length = 79
+    "pyright>=1.1.362",
+] }
 
 [tool.pytest.ini_options]
 addopts = "-vv"
@@ -78,6 +65,14 @@ addopts = "-vv"
 line-length = 79
 target-version = "py38"
 
+[tool.ruff.format]
+docstring-code-format = true
+docstring-code-line-length = 60
+
+[tool.ruff.lint]
+select = ["E4", "E7", "E9", "F", "B", "Q", "I", "D"]
+ignore = ["D1"]
+
 [tool.ruff.lint.pydocstyle]
 convention = "numpy"
 
@@ -87,17 +82,6 @@ venv = ".venv"
 include = ["src", "tests"]
 verboseOutput = true
 
-[tool.pydocstyle]
-convention = "numpy"
-match = "(?!test_).*\\.py"
-match_dir = "(?!tests).*"
-
-[tool.mypy]
-ignore_missing_imports = true
-show_error_codes = true
-show_error_code_links = true
-disable_error_code = ["call-overload", "misc", "override"]
-
 [tool.coverage.run]
 branch = true
 source = ["src/soundevent"]