ci: Added pyupgrade to ruff

.github/workflows/lint.yml

@@ -0,0 +1,31 @@
+# GitHub action to run linting
+
+name: run-linting
+
+on:
+  push:
+    branches: [main]
+  pull_request:
+
+jobs:
+  lint:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v3
+
+      - name: Install uv
+        uses: astral-sh/setup-uv@v4
+        with:
+          enable-cache: true
+
+      - name: Set up Python
+        run: uv python install 3.9
+
+      - name: Install dependencies
+        run: make install
+
+      - name: Lint
+        id: lint
+        run: |
+          make lint-check
+

docs/conf.py

@@ -10,6 +10,7 @@
 # add these directories to sys.path here. If the directory is relative to the
 # documentation root, use os.path.abspath to make it absolute, like shown here.
 #
+from __future__ import annotations
 
 from textdescriptives.about import __version__
 

docs/tutorials/filter_corpus_using_quality.ipynb

@@ -73,7 +73,9 @@
     "from datasets import load_dataset\n",
     "\n",
     "# stream in the dataset\n",
-    "dataset = load_dataset(\"mc4\", \"en\", streaming=True, split=\"train\", trust_remote_code=True)\n",
+    "dataset = load_dataset(\n",
+    "    \"mc4\", \"en\", streaming=True, split=\"train\", trust_remote_code=True\n",
+    ")\n",
     "\n",
     "# download the first 1 000\n",
     "dataset = dataset.take(1000)\n",

docs/tutorials/sklearn_integration.ipynb

@@ -128,6 +128,7 @@
    ],
    "source": [
     "from textdescriptives.utils import load_sms_data\n",
+    "\n",
     "df = load_sms_data()\n",
     "df.head()"
    ]
@@ -152,7 +153,7 @@
     "# to textdescriptives.extract_metrics\n",
     "descriptive_stats_extractor = TextDescriptivesFeaturizer(\n",
     "    lang=\"en\", metrics=[\"descriptive_stats\"]\n",
-    "    )"
+    ")"
    ]
   },
   {
@@ -184,7 +185,7 @@
     "from sklearn.pipeline import Pipeline\n",
     "from sklearn.ensemble import RandomForestClassifier\n",
     "from sklearn.compose import ColumnTransformer\n",
-    "from sklearn.model_selection import train_test_split \n",
+    "from sklearn.model_selection import train_test_split\n",
     "from sklearn.impute import SimpleImputer\n",
     "from sklearn import set_config\n",
     "\n",
@@ -197,10 +198,9 @@
     "        (\n",
     "            \"featurizer\",\n",
     "            ColumnTransformer(\n",
-    "                [(\"text_processing\", descriptive_stats_extractor, \"message\")]\n",
-    "            ,\n",
-    "            # removes the `text_processing__` prefix from feature names\n",
-    "            verbose_feature_names_out=False, \n",
+    "                [(\"text_processing\", descriptive_stats_extractor, \"message\")],\n",
+    "                # removes the `text_processing__` prefix from feature names\n",
+    "                verbose_feature_names_out=False,\n",
     "            ),\n",
     "        ),\n",
     "        (\"imputer\", SimpleImputer(strategy=\"median\")),\n",
@@ -366,6 +366,7 @@
    ],
    "source": [
     "import pandas as pd\n",
+    "\n",
     "# extract feature importances\n",
     "feature_importance_mapping = list(\n",
     "    zip(\n",

makefile

@@ -1,21 +1,23 @@
 install:
 	@echo "--- 🚀 Installing project ---"
-	uv sync --extra docs --extra tests --extra style --extra style
+	uv sync --extra docs --extra tests --extra style
+	uv pip install pip
+	uv pip install -r tests/requirements.txt
 
 lint:
 	@echo "--- 🧹 Running linters ---"
-	ruff format . 						            # running ruff formatting
-	ruff check **/*.py --fix						# running ruff linting
+	uv run ruff format . 						            # running ruff formatting
+	uv run ruff check **/*.py --fix						# running ruff linting
 
 lint-check:
 	@echo "--- 🧹 Check is project is linted ---"
-	ruff format . --check						    # running ruff formatting
-	ruff check **/*.py 						        # running ruff linting
+	uv run ruff format . --check						    # running ruff formatting
+	uv run ruff check **/*.py 						        # running ruff linting
 
 test:
 	@echo "--- 🧪 Running tests ---"
 	make install
-	pytest tests/
+	pytest tests/ -n auto
 
 build-docs:
 	@echo "--- 📚 Building docs ---"

pyproject.toml

@@ -18,6 +18,10 @@ classifiers = [
     "Operating System :: Microsoft :: Windows",
     "Programming Language :: Python :: 3",
     "Programming Language :: Python :: 3.9",
+    "Programming Language :: Python :: 3.10",
+    "Programming Language :: Python :: 3.11",
+    "Programming Language :: Python :: 3.12",
+    "Programming Language :: Python :: 3.13",
 ]
 
 keywords = [
@@ -49,8 +53,8 @@ repository = "https://github.com/HLasse/textdescriptives"
 documentation = "https://hlasse.github.io/TextDescriptives/"
 
 [project.optional-dependencies]
-style = ["black==24.1.1", "pre-commit==3.6.0", "ruff==0.1.15", "mypy==1.8.0"]
-tests = ["pytest>=7.1.3", "pytest-cov>=3.0.0"]
+style = ["ruff==0.8.3"]
+tests = ["pytest>=7.1.3", "pytest-cov>=3.0.0", "pytest-xdist"]
 docs = [
     "pydantic==2.1",
     "sphinx>=5.3.0",
@@ -115,3 +119,12 @@ build_command = "python -m pip install build; python -m build"
 
 [tool.ruff]
 exclude = [".venv", ".env", ".git", "__pycache__"]
+
+[tool.ruff.lint]
+select = ["UP", "I"]
+
+[tool.ruff.lint.isort]
+required-imports = ["from __future__ import annotations"]
+
+[tool.ruff.lint.pydocstyle]
+convention = "google"

src/textdescriptives/about.py

@@ -1,4 +1,4 @@
-""" About textdescriptives, version number is specified in the setup.cfg
+"""About textdescriptives, version number is specified in the setup.cfg
 file."""
 
 # if python >= 3.8, use importlib.metadata otherwise use pkg_resources

src/textdescriptives/components/dependency_distance.py

@@ -1,4 +1,4 @@
-""" Calculation of statistics related to dependency distance."""
+"""Calculation of statistics related to dependency distance."""
 
 from typing import Callable
 

src/textdescriptives/components/descriptive_stats.py

@@ -1,4 +1,4 @@
-""" Calculation of descriptive statistics."""
+"""Calculation of descriptive statistics."""
 
 from typing import Callable, Dict, Union
 

src/textdescriptives/components/information_theory.py

@@ -1,4 +1,4 @@
-""" Calculate the entropy and perplexity of a corpus."""
+"""Calculate the entropy and perplexity of a corpus."""
 
 from typing import Callable, Dict, Union
 
@@ -64,7 +64,10 @@ def per_word_perplexity_getter(doc: Union[Doc, Span]) -> float:
     else:
         perplexity = perplexity_getter(doc)
 
-    return perplexity / len(doc)
+    len_doc = len(doc)
+    if len_doc:
+        return perplexity / len(doc)
+    return np.nan
 
 
 def set_docspan_extension(

src/textdescriptives/components/pos_proportions.py

@@ -1,4 +1,4 @@
-""" Calculation of statistics that require a pos-tagger in the pipeline."""
+"""Calculation of statistics that require a pos-tagger in the pipeline."""
 
 from typing import Callable, Counter, List, Union
 

src/textdescriptives/components/quality.py

@@ -1,4 +1,4 @@
-""" Component for calculating quality metrics."""
+"""Component for calculating quality metrics."""
 
 from collections import Counter, defaultdict
 from typing import Callable, Dict, List, Mapping, Optional, Tuple, Union

src/textdescriptives/components/quality_data_classes.py

@@ -1,4 +1,4 @@
-""" Data classes used for the quality component."""
+"""Data classes used for the quality component."""
 
 from typing import Any, Dict, Optional, Tuple, Union
 

src/textdescriptives/components/readability.py

@@ -1,4 +1,4 @@
-""" Calculation of various readability metrics."""
+"""Calculation of various readability metrics."""
 
 from typing import Callable, Dict
 

src/textdescriptives/components/utils.py

@@ -1,4 +1,4 @@
-""" Utility functions for calculating various text descriptives."""
+"""Utility functions for calculating various text descriptives."""
 
 from typing import Union
 

src/textdescriptives/extractors.py

@@ -1,4 +1,4 @@
-""" Extract metrics as Pandas DataFrame."""
+"""Extract metrics as Pandas DataFrame."""
 
 from typing import Any, Dict, Iterable, List, Optional, Union
 

src/textdescriptives/load_components.py

@@ -1,4 +1,4 @@
-""" Adds all components to a spaCy pipeline."""
+"""Adds all components to a spaCy pipeline."""
 
 from spacy.language import Language
 from spacy.tokens import Doc

tests/books.py

@@ -1,6 +1,8 @@
-""" These books and several tests are borrowed from
+"""These books and several tests are borrowed from
 https://github.com/mholtzscher/spacy_readability."""
 
+from __future__ import annotations
+
 oliver_twist = """Among other public buildings in a certain town, which for many reasons
 it will be prudent to refrain from mentioning, and to which I will
 assign no fictitious name, there is one anciently common to most towns,

tests/test_coherence.py

@@ -1,16 +1,19 @@
+from __future__ import annotations
+
+import warnings
+
 import numpy as np
 import pytest
 import spacy
 
 import textdescriptives as td  # noqa: F401
-import warnings
 
 
 @pytest.fixture(scope="function")
 def nlp():
-    nlp = spacy.load("en_core_web_sm")
-    nlp.add_pipe("textdescriptives/coherence")
-    return nlp
+    nlp_en = spacy.load("en_core_web_sm")
+    nlp_en.add_pipe("textdescriptives/coherence")
+    return nlp_en
 
 
 def test_coherence_integration(nlp):

tests/test_dependency_distance.py

@@ -1,9 +1,11 @@
+from __future__ import annotations
+
 import ftfy
 import numpy as np
 import pytest
 import spacy
-import textdescriptives as td  # noqa: F401
 
+import textdescriptives as td  # noqa: F401
 
 from .books import flatland, oliver_twist, secret_garden
 

tests/test_descriptive_stats.py

@@ -1,3 +1,7 @@
+from __future__ import annotations
+
+import warnings
+
 import ftfy
 import pytest
 from spacy.lang.en import English
@@ -6,8 +10,6 @@
 
 from .books import flatland, oliver_twist, secret_garden
 
-import warnings
-
 
 @pytest.fixture(scope="function")
 def nlp():

tests/test_extractors.py

@@ -1,3 +1,5 @@
+from __future__ import annotations
+
 import pytest
 import spacy
 

tests/test_information.py

@@ -1,3 +1,5 @@
+from __future__ import annotations
+
 import numpy as np
 import pytest
 import spacy

tests/test_load_components.py

@@ -1,5 +1,8 @@
+from __future__ import annotations
+
 import pytest
 import spacy
+
 import textdescriptives as td  # noqa: F401
 
 

tests/test_pos_proportions.py

@@ -1,3 +1,5 @@
+from __future__ import annotations
+
 import pytest
 import spacy
 from spacy.tokens import Doc