Repository: kraina-ai/srai (language: python)

Issue:
Move torch and pytorch-lightning packages to optional group
We want to disable the automatic torch installation since it's bloated and not the core functionality of this library.


Discussion / hints:

Fix patch:
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 3696b4ca..390d4ff0 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -3,32 +3,32 @@
 default_stages: [commit]
 repos:
   - repo: https://github.com/compilerla/conventional-pre-commit
-    rev: v2.1.1
+    rev: v2.2.0
     hooks:
       - id: conventional-pre-commit
         stages: [commit-msg]
   - repo: https://github.com/charliermarsh/ruff-pre-commit
-    rev: "v0.0.259"
+    rev: 'v0.0.262'
     hooks:
       - id: ruff
         args: [--fix, --exit-non-zero-on-fix]
   - repo: https://github.com/psf/black
-    rev: 23.1.0
+    rev: 23.3.0
     hooks:
       - id: black-jupyter
   - repo: https://github.com/PyCQA/docformatter
-    rev: v1.5.1
+    rev: v1.6.3
     hooks:
       - id: docformatter
         additional_dependencies: [tomli]
         args: ["--in-place", "--config", "./pyproject.toml"]
   - repo: https://github.com/pre-commit/mirrors-mypy
-    rev: v1.1.1
+    rev: v1.2.0
     hooks:
       - id: mypy
         additional_dependencies: ["types-requests"]
   - repo: https://github.com/pdm-project/pdm
-    rev: 2.5.2
+    rev: 2.5.3
     hooks:
       - id: pdm-lock-check
       - id: pdm-export
diff --git a/CHANGELOG.md b/CHANGELOG.md
index 82f3c52a..c4b43bde 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -32,6 +32,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 - Change embedders and joiners interface to have `.transform` method
 - Change linter to Ruff and removed flake8, isort, pydocstyle
 - Change default value inside `transform` function of IntersectionJoiner to not return geometry.
+- Make torch and pytorch-lightning as optional dependencies ([#210](https://github.com/srai-lab/srai/issues/210))
 
 ### Deprecated
 
diff --git a/docs/getting_started/README.md b/docs/getting_started/README.md
index 249dbb8e..23bb6491 100644
--- a/docs/getting_started/README.md
+++ b/docs/getting_started/README.md
@@ -19,6 +19,7 @@ The following optional dependencies can be installed to enable additional functi
 * `srai[voronoi]` - dependencies to use Voronoi-based regionization method
 * `srai[gtfs]` - dependencies to process GTFS data
 * `srai[plotting]` - dependencies to plot graphs and maps
+* `srai[torch]` - dependencies to use torch-based embedders
 
 ## Usage
 
diff --git a/pdm.lock b/pdm.lock
index 1f978619..d831bfbf 100644
--- a/pdm.lock
+++ b/pdm.lock
@@ -69,7 +69,7 @@ dependencies = [
 
 [[package]]
 name = "astropy"
-version = "5.2.1"
+version = "5.2.2"
 requires_python = ">=3.8"
 summary = "Astronomy and astrophysics core library"
 dependencies = [
@@ -106,7 +106,7 @@ summary = "Specifications for callback functions passed in to an API"
 
 [[package]]
 name = "beautifulsoup4"
-version = "4.12.0"
+version = "4.12.2"
 requires_python = ">=3.6.0"
 summary = "Screen-scraping library"
 dependencies = [
@@ -115,7 +115,7 @@ dependencies = [
 
 [[package]]
 name = "black"
-version = "23.1.0"
+version = "23.3.0"
 requires_python = ">=3.7"
 summary = "The uncompromising code formatter."
 dependencies = [
@@ -130,12 +130,12 @@ dependencies = [
 
 [[package]]
 name = "black"
-version = "23.1.0"
+version = "23.3.0"
 extras = ["jupyter"]
 requires_python = ">=3.7"
 summary = "The uncompromising code formatter."
 dependencies = [
-    "black==23.1.0",
+    "black==23.3.0",
     "ipython>=7.8.0",
     "tokenize-rt>=3.2.0",
 ]
@@ -213,8 +213,8 @@ summary = "Universal encoding detector for Python 3"
 
 [[package]]
 name = "charset-normalizer"
-version = "2.1.1"
-requires_python = ">=3.6.0"
+version = "3.1.0"
+requires_python = ">=3.7.0"
 summary = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 
 [[package]]
@@ -251,7 +251,7 @@ summary = "Extended pickling support for Python objects"
 
 [[package]]
 name = "cmake"
-version = "3.26.0"
+version = "3.26.3"
 summary = "CMake is an open-source, cross-platform family of tools designed to build, test and package software"
 
 [[package]]
@@ -262,7 +262,7 @@ summary = "Cross-platform colored terminal text."
 
 [[package]]
 name = "comm"
-version = "0.1.2"
+version = "0.1.3"
 requires_python = ">=3.6"
 summary = "Jupyter Python Comm implementation, for usage in ipykernel, xeus-python etc."
 dependencies = [
@@ -291,7 +291,7 @@ summary = "Composable style cycles"
 
 [[package]]
 name = "debugpy"
-version = "1.6.6"
+version = "1.6.7"
 requires_python = ">=3.7"
 summary = "An implementation of the Debug Adapter Protocol for Python"
 
@@ -320,23 +320,23 @@ summary = "Distribution utilities"
 
 [[package]]
 name = "docformatter"
-version = "1.5.1"
-requires_python = ">=3.6,<4.0"
+version = "1.6.3"
+requires_python = ">=3.7,<4.0"
 summary = "Formats docstrings to follow PEP 257"
 dependencies = [
-    "charset-normalizer<3.0.0,>=2.0.0",
-    "tomli<3.0.0,>=2.0.0; python_version >= \"3.7\"",
+    "charset-normalizer<4.0.0,>=3.0.0",
     "untokenize<0.2.0,>=0.1.1",
 ]
 
 [[package]]
 name = "docformatter"
-version = "1.5.1"
+version = "1.6.3"
 extras = ["tomli"]
-requires_python = ">=3.6,<4.0"
+requires_python = ">=3.7,<4.0"
 summary = "Formats docstrings to follow PEP 257"
 dependencies = [
-    "docformatter==1.5.1",
+    "docformatter==1.6.3",
+    "tomli<3.0.0,>=2.0.0",
 ]
 
 [[package]]
@@ -350,6 +350,12 @@ version = "1.1.1"
 requires_python = ">=3.7"
 summary = "Backport of PEP 654 (exception groups)"
 
+[[package]]
+name = "execnet"
+version = "1.9.0"
+requires_python = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+summary = "execnet: rapid multi-Python deployment"
+
 [[package]]
 name = "executing"
 version = "1.2.0"
@@ -372,13 +378,13 @@ dependencies = [
 
 [[package]]
 name = "filelock"
-version = "3.10.0"
+version = "3.12.0"
 requires_python = ">=3.7"
 summary = "A platform independent file lock."
 
 [[package]]
 name = "fiona"
-version = "1.9.2"
+version = "1.9.3"
 requires_python = ">=3.7"
 summary = "Fiona reads and writes spatial data files"
 dependencies = [
@@ -405,7 +411,7 @@ dependencies = [
 
 [[package]]
 name = "fonttools"
-version = "4.39.2"
+version = "4.39.3"
 requires_python = ">=3.8"
 summary = "Tools to manipulate font files"
 
@@ -423,19 +429,19 @@ summary = "A list-like structure which implements collections.abc.MutableSequenc
 
 [[package]]
 name = "fsspec"
-version = "2023.3.0"
+version = "2023.4.0"
 requires_python = ">=3.8"
 summary = "File-system specification"
 
 [[package]]
 name = "fsspec"
-version = "2023.3.0"
+version = "2023.4.0"
 extras = ["http"]
 requires_python = ">=3.8"
 summary = "File-system specification"
 dependencies = [
     "aiohttp!=4.0.0a0,!=4.0.0a1",
-    "fsspec==2023.3.0",
+    "fsspec==2023.4.0",
     "requests",
 ]
 
@@ -478,7 +484,7 @@ dependencies = [
 
 [[package]]
 name = "griffe"
-version = "0.25.5"
+version = "0.27.1"
 requires_python = ">=3.7"
 summary = "Signatures for entire Python programs. Extract the structure, the frame, the skeleton of your project, to generate API documentation or find breaking changes in your API."
 dependencies = [
@@ -515,7 +521,7 @@ summary = "Calculate the distance between 2 points on Earth."
 
 [[package]]
 name = "identify"
-version = "2.5.21"
+version = "2.5.22"
 requires_python = ">=3.7"
 summary = "File identification library for Python"
 
@@ -527,7 +533,7 @@ summary = "Internationalized Domain Names in Applications (IDNA)"
 
 [[package]]
 name = "importlib-metadata"
-version = "6.1.0"
+version = "6.6.0"
 requires_python = ">=3.7"
 summary = "Read metadata from Python packages"
 dependencies = [
@@ -572,7 +578,7 @@ dependencies = [
 
 [[package]]
 name = "ipython"
-version = "8.11.0"
+version = "8.12.0"
 requires_python = ">=3.8"
 summary = "IPython: Productive Interactive Computing"
 dependencies = [
@@ -588,6 +594,7 @@ dependencies = [
     "pygments>=2.4.0",
     "stack-data",
     "traitlets>=5",
+    "typing-extensions; python_version < \"3.10\"",
 ]
 
 [[package]]
@@ -597,14 +604,15 @@ summary = "Vestigial utilities from IPython"
 
 [[package]]
 name = "ipywidgets"
-version = "7.7.4"
+version = "7.7.5"
 summary = "IPython HTML widgets for Jupyter"
 dependencies = [
+    "ipykernel>=4.5.1",
     "ipython-genutils~=0.2.0",
     "ipython>=4.0.0; python_version >= \"3.3\"",
     "jupyterlab-widgets<3,>=1.0.0; python_version >= \"3.6\"",
     "traitlets>=4.3.1",
-    "widgetsnbextension~=3.6.0",
+    "widgetsnbextension~=3.6.4",
 ]
 
 [[package]]
@@ -692,7 +700,7 @@ dependencies = [
 
 [[package]]
 name = "jupyter-client"
-version = "8.1.0"
+version = "8.2.0"
 requires_python = ">=3.8"
 summary = "Jupyter protocol implementation and client libraries"
 dependencies = [
@@ -773,7 +781,7 @@ summary = "Pygments theme using JupyterLab CSS variables"
 
 [[package]]
 name = "jupyterlab-widgets"
-version = "1.1.3"
+version = "1.1.4"
 requires_python = ">=3.6"
 summary = "A JupyterLab extension."
 
@@ -845,7 +853,7 @@ dependencies = [
 
 [[package]]
 name = "lit"
-version = "16.0.0"
+version = "16.0.2"
 summary = "A Software Testing Tool"
 
 [[package]]
@@ -979,8 +987,8 @@ dependencies = [
 
 [[package]]
 name = "mkdocs-awesome-pages-plugin"
-version = "2.8.0"
-requires_python = ">=3.6.2"
+version = "2.9.0"
+requires_python = ">=3.7"
 summary = "An MkDocs plugin that simplifies configuring page titles and their order"
 dependencies = [
     "mkdocs>=1",
@@ -999,7 +1007,7 @@ dependencies = [
 
 [[package]]
 name = "mkdocs-jupyter"
-version = "0.24.0"
+version = "0.24.1"
 requires_python = ">=3.7"
 summary = "Use Jupyter in mkdocs websites"
 dependencies = [
@@ -1012,7 +1020,7 @@ dependencies = [
 
 [[package]]
 name = "mkdocs-material"
-version = "9.1.3"
+version = "9.1.8"
 requires_python = ">=3.7"
 summary = "Documentation that simply works"
 dependencies = [
@@ -1051,7 +1059,7 @@ dependencies = [
 
 [[package]]
 name = "mkdocstrings"
-version = "0.20.0"
+version = "0.21.2"
 requires_python = ">=3.7"
 summary = "Automatic documentation from sources, for MkDocs."
 dependencies = [
@@ -1061,27 +1069,28 @@ dependencies = [
     "mkdocs-autorefs>=0.3.1",
     "mkdocs>=1.2",
     "pymdown-extensions>=6.3",
+    "typing-extensions>=4.1; python_version < \"3.10\"",
 ]
 
 [[package]]
 name = "mkdocstrings-python"
-version = "0.8.3"
+version = "0.9.0"
 requires_python = ">=3.7"
 summary = "A Python handler for mkdocstrings."
 dependencies = [
     "griffe>=0.24",
-    "mkdocstrings>=0.19",
+    "mkdocstrings>=0.20",
 ]
 
 [[package]]
 name = "mkdocstrings"
-version = "0.20.0"
+version = "0.21.2"
 extras = ["python"]
 requires_python = ">=3.7"
 summary = "Automatic documentation from sources, for MkDocs."
 dependencies = [
     "mkdocstrings-python>=0.5.2",
-    "mkdocstrings==0.20.0",
+    "mkdocstrings==0.21.2",
 ]
 
 [[package]]
@@ -1128,7 +1137,7 @@ summary = "Simple yet flexible natural sorting in Python."
 
 [[package]]
 name = "nbclassic"
-version = "0.5.3"
+version = "0.5.5"
 requires_python = ">=3.7"
 summary = "Jupyter Notebook as a Jupyter Server extension."
 dependencies = [
@@ -1153,7 +1162,7 @@ dependencies = [
 
 [[package]]
 name = "nbclient"
-version = "0.7.2"
+version = "0.7.4"
 requires_python = ">=3.7.0"
 summary = "A client library for executing notebooks. Formerly nbconvert's ExecutePreprocessor."
 dependencies = [
@@ -1165,7 +1174,7 @@ dependencies = [
 
 [[package]]
 name = "nbconvert"
-version = "7.2.10"
+version = "7.3.1"
 requires_python = ">=3.7"
 summary = "Converting Jupyter Notebooks"
 dependencies = [
@@ -1207,7 +1216,7 @@ summary = "Patch asyncio to allow nested event loops"
 
 [[package]]
 name = "networkx"
-version = "3.0"
+version = "3.1"
 requires_python = ">=3.8"
 summary = "Python package for creating and manipulating graphs and networks"
 
@@ -1222,7 +1231,7 @@ dependencies = [
 
 [[package]]
 name = "notebook"
-version = "6.5.3"
+version = "6.5.4"
 requires_python = ">=3.7"
 summary = "A web-based notebook environment for interactive computing"
 dependencies = [
@@ -1246,7 +1255,7 @@ dependencies = [
 
 [[package]]
 name = "notebook-shim"
-version = "0.2.2"
+version = "0.2.3"
 requires_python = ">=3.7"
 summary = "A shim layer for notebook traits and config"
 dependencies = [
@@ -1255,7 +1264,7 @@ dependencies = [
 
 [[package]]
 name = "numpy"
-version = "1.24.2"
+version = "1.24.3"
 requires_python = ">=3.8"
 summary = "Fundamental package for array computing in Python"
 
@@ -1393,7 +1402,7 @@ dependencies = [
 
 [[package]]
 name = "packaging"
-version = "23.0"
+version = "23.1"
 requires_python = ">=3.7"
 summary = "Core utilities for Python packages"
 
@@ -1451,7 +1460,7 @@ summary = "Tiny 'shelve'-like database with concurrency support"
 
 [[package]]
 name = "pillow"
-version = "9.4.0"
+version = "9.5.0"
 requires_python = ">=3.7"
 summary = "Python Imaging Library (Fork)"
 
@@ -1463,16 +1472,17 @@ summary = "Resolve a name to an object."
 
 [[package]]
 name = "platformdirs"
-version = "3.1.1"
+version = "3.3.0"
 requires_python = ">=3.7"
 summary = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
 
 [[package]]
 name = "plotly"
-version = "5.13.1"
+version = "5.14.1"
 requires_python = ">=3.6"
 summary = "An open-source, interactive data visualization library for Python"
 dependencies = [
+    "packaging",
     "tenacity>=6.2.0",
 ]
 
@@ -1512,7 +1522,7 @@ dependencies = [
 
 [[package]]
 name = "psutil"
-version = "5.9.4"
+version = "5.9.5"
 requires_python = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 summary = "Cross-platform lib for process and system monitoring in Python."
 
@@ -1552,11 +1562,11 @@ summary = "C parser in Python"
 
 [[package]]
 name = "pyerfa"
-version = "2.0.0.2"
+version = "2.0.0.3"
 requires_python = ">=3.7"
 summary = "Python bindings for ERFA"
 dependencies = [
-    "numpy>=1.21",
+    "numpy>=1.17",
 ]
 
 [[package]]
@@ -1571,8 +1581,8 @@ dependencies = [
 
 [[package]]
 name = "pygments"
-version = "2.14.0"
-requires_python = ">=3.6"
+version = "2.15.1"
+requires_python = ">=3.7"
 summary = "Pygments is a syntax highlighting package written in Python."
 
 [[package]]
@@ -1583,7 +1593,7 @@ summary = "pure Python (no prereqs) coordinate conversions, following convention
 
 [[package]]
 name = "pymdown-extensions"
-version = "9.10"
+version = "9.11"
 requires_python = ">=3.7"
 summary = "Extension pack for Python Markdown."
 dependencies = [
@@ -1605,7 +1615,7 @@ summary = "pyparsing module - Classes and methods to define and execute parsing
 
 [[package]]
 name = "pyproj"
-version = "3.4.1"
+version = "3.5.0"
 requires_python = ">=3.8"
 summary = "Python interface to PROJ (cartographic projections and coordinate transformations library)"
 dependencies = [
@@ -1630,11 +1640,10 @@ summary = "Persistent/Functional/Immutable data structures"
 
 [[package]]
 name = "pytest"
-version = "7.2.2"
+version = "7.3.1"
 requires_python = ">=3.7"
 summary = "pytest: simple powerful testing with Python"
 dependencies = [
-    "attrs>=19.2.0",
     "colorama; sys_platform == \"win32\"",
     "exceptiongroup>=1.0.0rc8; python_version < \"3.11\"",
     "iniconfig",
@@ -1671,6 +1680,16 @@ dependencies = [
     "six",
 ]
 
+[[package]]
+name = "pytest-xdist"
+version = "3.2.1"
+requires_python = ">=3.7"
+summary = "pytest xdist plugin for distributed testing, most importantly across multiple CPUs"
+dependencies = [
+    "execnet>=1.1",
+    "pytest>=6.2.0",
+]
+
 [[package]]
 name = "python-dateutil"
 version = "2.8.2"
@@ -1688,7 +1707,7 @@ summary = "A python library adding a json log formatter"
 
 [[package]]
 name = "pytorch-lightning"
-version = "2.0.0"
+version = "2.0.2"
 requires_python = ">=3.8"
 summary = "PyTorch Lightning is the lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate."
 dependencies = [
@@ -1705,19 +1724,19 @@ dependencies = [
 
 [[package]]
 name = "pytz"
-version = "2022.7.1"
+version = "2023.3"
 summary = "World timezone definitions, modern and historical"
 
 [[package]]
 name = "pywin32"
-version = "305"
+version = "306"
 summary = "Python for Window Extensions"
 
 [[package]]
 name = "pywinpty"
 version = "2.0.10"
 requires_python = ">=3.7"
-summary = ""
+summary = "Pseudo terminal support for Windows from Python."
 
 [[package]]
 name = "pyyaml"
@@ -1745,8 +1764,8 @@ dependencies = [
 
 [[package]]
 name = "regex"
-version = "2022.10.31"
-requires_python = ">=3.6"
+version = "2023.3.23"
+requires_python = ">=3.8"
 summary = "Alternative regular expression module, to replace re."
 
 [[package]]
@@ -1813,7 +1832,7 @@ summary = "R-Tree spatial index for Python GIS"
 
 [[package]]
 name = "ruff"
-version = "0.0.259"
+version = "0.0.263"
 requires_python = ">=3.7"
 summary = "An extremely fast Python linter, written in Rust."
 
@@ -1876,7 +1895,7 @@ summary = "Send file to trash natively under Mac OS X, Windows and Linux."
 
 [[package]]
 name = "setuptools"
-version = "67.6.0"
+version = "67.7.2"
 requires_python = ">=3.7"
 summary = "Easily download, build, install, upgrade, and uninstall Python packages"
 
@@ -1900,7 +1919,7 @@ summary = "Sniff out which async library your code is running under"
 
 [[package]]
 name = "soupsieve"
-version = "2.4"
+version = "2.4.1"
 requires_python = ">=3.7"
 summary = "A modern CSS selector implementation for Beautiful Soup."
 
@@ -2036,26 +2055,26 @@ dependencies = [
 
 [[package]]
 name = "tornado"
-version = "6.2"
-requires_python = ">= 3.7"
+version = "6.3.1"
+requires_python = ">= 3.8"
 summary = "Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed."
 
 [[package]]
 name = "tox"
-version = "4.4.7"
+version = "4.5.0"
 requires_python = ">=3.7"
 summary = "tox is a generic virtualenv management and test command line tool"
 dependencies = [
     "cachetools>=5.3",
     "chardet>=5.1",
     "colorama>=0.4.6",
-    "filelock>=3.9",
-    "packaging>=23",
-    "platformdirs>=2.6.2",
+    "filelock>=3.11",
+    "packaging>=23.1",
+    "platformdirs>=3.2",
     "pluggy>=1",
-    "pyproject-api>=1.5",
+    "pyproject-api>=1.5.1",
     "tomli>=2.0.1; python_version < \"3.11\"",
-    "virtualenv>=20.17.1",
+    "virtualenv>=20.21",
 ]
 
 [[package]]
@@ -2114,7 +2133,7 @@ dependencies = [
 
 [[package]]
 name = "types-setuptools"
-version = "67.6.0.5"
+version = "67.7.0.0"
 summary = "Typing stubs for setuptools"
 
 [[package]]
@@ -2152,13 +2171,13 @@ summary = "Flexible version handling"
 
 [[package]]
 name = "virtualenv"
-version = "20.21.0"
+version = "20.22.0"
 requires_python = ">=3.7"
 summary = "Virtual Python Environment builder"
 dependencies = [
     "distlib<1,>=0.3.6",
-    "filelock<4,>=3.4.1",
-    "platformdirs<4,>=2.4",
+    "filelock<4,>=3.11",
+    "platformdirs<4,>=3.2",
 ]
 
 [[package]]
@@ -2183,9 +2202,9 @@ summary = "Measures the displayed width of unicode strings in a terminal"
 
 [[package]]
 name = "webcolors"
-version = "1.12"
+version = "1.13"
 requires_python = ">=3.7"
-summary = "A library for working with color names and color values formats defined by HTML and CSS."
+summary = "A library for working with the color formats defined by HTML and CSS."
 
 [[package]]
 name = "webencodings"
@@ -2206,7 +2225,7 @@ summary = "A built-package format for Python"
 
 [[package]]
 name = "widgetsnbextension"
-version = "3.6.3"
+version = "3.6.4"
 summary = "IPython HTML widgets for Jupyter"
 dependencies = [
     "notebook>=4.4.1",
@@ -2214,7 +2233,7 @@ dependencies = [
 
 [[package]]
 name = "yarl"
-version = "1.8.2"
+version = "1.9.1"
 requires_python = ">=3.7"
 summary = "Yet another URL library"
 dependencies = [
@@ -2230,8 +2249,8 @@ summary = "Backport of pathlib-compatible object wrapper for zip files"
 
 [metadata]
 lock_version = "4.2"
-groups = ["default", "all", "dev", "docs", "gtfs", "license", "lint", "osm", "performance", "plotting", "test", "visualization", "voronoi"]
-content_hash = "sha256:0a1cc165f764516cab6a99b789b18c110e0f797523d1bd4d79794dcde4156fd8"
+groups = ["default", "all", "dev", "docs", "gtfs", "license", "lint", "osm", "performance", "plotting", "test", "torch", "visualization", "voronoi"]
+content_hash = "sha256:0f4f4d31ba0de3874e68469e8ca1f71667f41341934f077056276ba50759b641"
 
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 "zipp 3.15.0" = [
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diff --git a/pyproject.toml b/pyproject.toml
index 36ec009b..caa90d1c 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -5,7 +5,7 @@ description = "A set of python modules for geospatial machine learning and data
 authors = [{ name = "srai", email = "spatialrepresentationsforai@gmail.com" }]
 # pdm add <library>
 dependencies = [
-    "pandas>=1.3",
+    "pandas>=1.3, <2",
     "geopandas>=0.11.1",
     "shapely>=1.8.5.post1",
     "h3>=4.0.0b1",
@@ -18,8 +18,6 @@ dependencies = [
     "topojson>=1.5",
     "tqdm>=4.64.1",
     "s2>=0.1.9",
-    "pytorch-lightning>=1.0.0",
-    "torch",
     "typeguard>=3.0.2",
 ]
 requires-python = ">=3.8"
@@ -47,6 +45,10 @@ Documentation = "https://srai-lab.github.io/srai"
 Changelog = "https://github.com/srai-lab/srai/blob/main/CHANGELOG.md"
 
 [project.optional-dependencies]
+# Make sure to edit test_optional_dependencies.py:
+# add entries to optional packages
+# add tests
+
 # pdm add -G osm <library>
 osm = ["osmium>=3.4.1", "osmnx>=1.2.2", "overpass>=0.7"]
 # pdm add -G voronoi <library>
@@ -55,7 +57,10 @@ voronoi = ["pymap3d>=2.9.1", "haversine>=2.7.0", "spherical-geometry>=1.2.23"]
 gtfs = ["gtfs-kit>=5.0.0"]
 # pdm add -G plotting <library>
 plotting = ["folium>=0.14.0", "mapclassify>=2.5.0", "plotly>=5.10.0", "kaleido==0.2.1"]
-all = ["srai[osm,voronoi,gtfs,plotting]"]
+# pdm add -G torch <library>
+torch = ["pytorch-lightning>=1.0.0", "torch"]
+all = ["srai[osm,voronoi,gtfs,plotting,torch]"]
+
 
 [build-system]
 requires = ["pdm-pep517>=1.0.0"]
@@ -82,6 +87,7 @@ test = [
     "requests-mock>=1.10.0",
     "pytest-check>=2.1.4",
     "pytest-parametrization>=2022.2.1",
+    "pytest-xdist>=3.2.1",
 ]
 # pdm add -dG visualization <library>
 visualization = [
@@ -175,6 +181,7 @@ push = false
 [tool.pytest.ini_options]
 addopts = ["--import-mode=importlib"]
 markers = ["slow: marks tests as slow (deselect with '-m \"not slow\"')"]
+log_cli = true
 
 [tool.licensecheck]
 using = "requirements"
diff --git a/srai/embedders/gtfs2vec/embedder.py b/srai/embedders/gtfs2vec/embedder.py
index 5f187c4d..a8da61a9 100644
--- a/srai/embedders/gtfs2vec/embedder.py
+++ b/srai/embedders/gtfs2vec/embedder.py
@@ -14,14 +14,12 @@
 import geopandas as gpd
 import numpy as np
 import pandas as pd
-import pytorch_lightning as pl
-import torch
-from torch.utils.data import DataLoader
 
 from srai.embedders import Embedder
 from srai.embedders.gtfs2vec.model import GTFS2VecModel
 from srai.exceptions import ModelNotFitException
 from srai.loaders.gtfs_loader import GTFS2VEC_DIRECTIONS_PREFIX, GTFS2VEC_TRIPS_PREFIX
+from srai.utils._optional import import_optional_dependencies
 
 
 class GTFS2VecEmbedder(Embedder):
@@ -39,6 +37,9 @@ def __init__(
             skip_autoencoder (bool, optional): Skip using autoencoder as part of embedding.
             Defaults to False.
         """
+        import_optional_dependencies(
+            dependency_group="torch", modules=["torch", "pytorch_lightning"]
+        )
         self._model: Optional[GTFS2VecModel] = None
         self._hidden_size = hidden_size
         self._embedding_size = embedding_size
@@ -230,6 +231,9 @@ def _train_model_unsupervised(self, features: pd.DataFrame) -> GTFS2VecModel:
         Args:
             features (pd.DataFrame): Features.
         """
+        import pytorch_lightning as pl
+        from torch.utils.data import DataLoader
+
         model = GTFS2VecModel(
             n_features=len(features.columns),
             n_hidden=self._hidden_size,
@@ -253,6 +257,8 @@ def _embed(self, features: pd.DataFrame) -> pd.DataFrame:
         Returns:
             pd.DataFrame: Embeddings.
         """
+        import torch
+
         model = self._maybe_get_model()
         if len(features.columns) != model.n_features:
             raise ValueError(
diff --git a/srai/embedders/gtfs2vec/model.py b/srai/embedders/gtfs2vec/model.py
index 4928037c..8658775b 100644
--- a/srai/embedders/gtfs2vec/model.py
+++ b/srai/embedders/gtfs2vec/model.py
@@ -6,12 +6,19 @@
 References:
     1. https://doi.org/10.1145/3486640.3491392
 """
-from typing import Any
+from typing import TYPE_CHECKING, Any
 
-import torch
-from pytorch_lightning import LightningModule
-from torch import nn
-from torch.nn import functional as F
+from srai.utils._optional import import_optional_dependencies
+
+if TYPE_CHECKING:  # pragma: no cover
+    import torch
+
+
+try:  # pragma: no cover
+    from pytorch_lightning import LightningModule
+
+except ImportError:
+    from srai.utils._pytorch_stubs import LightningModule
 
 
 class GTFS2VecModel(LightningModule):  # type: ignore
@@ -32,6 +39,11 @@ def __init__(
             n_embed (int, optional): Embedding size. Defaults to 64.
         """
         super().__init__()
+        import_optional_dependencies(
+            dependency_group="torch", modules=["torch", "pytorch_lightning"]
+        )
+        from torch import nn
+
         self.n_features = n_features
 
         self.encoder = nn.Sequential(
@@ -41,22 +53,24 @@ def __init__(
             nn.Linear(n_embed, n_hidden), nn.ReLU(), nn.Linear(n_hidden, n_features)
         )
 
-    def forward(self, x: torch.Tensor) -> torch.Tensor:
+    def forward(self, x: "torch.Tensor") -> "torch.Tensor":
         """
         Forward pass.
 
         Args:
             x (torch.Tensor): Input tensor.
         """
-        embedding: torch.Tensor = self.encoder(x)
+        embedding: "torch.Tensor" = self.encoder(x)
         return embedding
 
-    def configure_optimizers(self) -> torch.optim.Optimizer:
+    def configure_optimizers(self) -> "torch.optim.Optimizer":
         """Configure optimizer."""
+        import torch
+
         optimizer = torch.optim.Adam(self.parameters(), lr=1e-3)
         return optimizer
 
-    def training_step(self, batch: torch.Tensor, batch_idx: Any) -> torch.Tensor:
+    def training_step(self, batch: "torch.Tensor", batch_idx: Any) -> "torch.Tensor":
         """
         Training step.
 
@@ -64,6 +78,8 @@ def training_step(self, batch: torch.Tensor, batch_idx: Any) -> torch.Tensor:
             batch (torch.Tensor): Batch.
             batch_idx (Any): Batch index.
         """
+        from torch.nn import functional as F
+
         x = batch
         z = self.encoder(x)
         x_hat = self.decoder(z)
diff --git a/srai/embedders/highway2vec/embedder.py b/srai/embedders/highway2vec/embedder.py
index cc81673b..6c52f46f 100644
--- a/srai/embedders/highway2vec/embedder.py
+++ b/srai/embedders/highway2vec/embedder.py
@@ -10,12 +10,10 @@
 
 import geopandas as gpd
 import pandas as pd
-import pytorch_lightning as pl
-import torch
-from torch.utils.data import DataLoader
 
 from srai.embedders import Embedder
 from srai.exceptions import ModelNotFitException
+from srai.utils._optional import import_optional_dependencies
 
 from .model import Highway2VecModel
 
@@ -31,6 +29,10 @@ def __init__(self, hidden_size: int = 64, embedding_size: int = 30) -> None:
             hidden_size (int, optional): Hidden size in encoder and decoder. Defaults to 64.
             embedding_size (int, optional): Embedding size. Defaults to 30.
         """
+        import_optional_dependencies(
+            dependency_group="torch", modules=["torch", "pytorch_lightning"]
+        )
+
         self._model: Optional[Highway2VecModel] = None
         self._hidden_size = hidden_size
         self._embedding_size = embedding_size
@@ -58,6 +60,8 @@ def transform(
             ValueError: If joint_gdf.index is not of type pd.MultiIndex or doesn't have 2 levels.
             ValueError: If index levels in gdfs don't overlap correctly.
         """
+        import torch
+
         self._validate_indexes(regions_gdf, features_gdf, joint_gdf)
         self._check_is_fitted()
         features_df = self._remove_geometry_if_present(features_gdf)
@@ -94,6 +98,10 @@ def fit(
             ValueError: If joint_gdf.index is not of type pd.MultiIndex or doesn't have 2 levels.
             ValueError: If index levels in gdfs don't overlap correctly.
         """
+        import pytorch_lightning as pl
+        import torch
+        from torch.utils.data import DataLoader
+
         self._validate_indexes(regions_gdf, features_gdf, joint_gdf)
         features_df = self._remove_geometry_if_present(features_gdf)
 
diff --git a/srai/embedders/highway2vec/model.py b/srai/embedders/highway2vec/model.py
index 19e6e2a6..badd752d 100644
--- a/srai/embedders/highway2vec/model.py
+++ b/srai/embedders/highway2vec/model.py
@@ -6,13 +6,22 @@
 References:
     1. https://doi.org/10.1145/3557918.3565865
 """
-import pytorch_lightning as pl
-import torch
-import torch.nn.functional as F
-from torch import nn, optim
+from typing import TYPE_CHECKING
 
+from srai.utils._optional import import_optional_dependencies
 
-class Highway2VecModel(pl.LightningModule):  # type: ignore
+if TYPE_CHECKING:  # pragma: no cover
+    import torch
+
+
+try:  # pragma: no cover
+    from pytorch_lightning import LightningModule
+
+except ImportError:
+    from srai.utils._pytorch_stubs import LightningModule
+
+
+class Highway2VecModel(LightningModule):  # type: ignore
     """Autoencoder based embedding model for highway2vec."""
 
     def __init__(self, n_features: int, n_hidden: int = 64, n_embed: int = 30, lr: float = 1e-3):
@@ -25,6 +34,11 @@ def __init__(self, n_features: int, n_hidden: int = 64, n_embed: int = 30, lr: f
             n_embed (int, optional): Embedding size. Defaults to 30.
             lr (float, optional): Learning rate. Defaults to 1e-3.
         """
+        import_optional_dependencies(
+            dependency_group="torch", modules=["torch", "pytorch_lightning"]
+        )
+        from torch import nn
+
         super().__init__()
 
         self.save_hyperparameters()
@@ -41,17 +55,17 @@ def __init__(self, n_features: int, n_hidden: int = 64, n_embed: int = 30, lr: f
         )
         self.lr = lr
 
-    def forward(self, x: torch.Tensor) -> torch.Tensor:
+    def forward(self, x: "torch.Tensor") -> "torch.Tensor":
         """
         Forward pass.
 
         Args:
             x (torch.Tensor): Input tensor.
         """
-        z: torch.Tensor = self.encoder(x)
+        z: "torch.Tensor" = self.encoder(x)
         return z
 
-    def training_step(self, batch: torch.Tensor, batch_idx: int) -> torch.Tensor:
+    def training_step(self, batch: "torch.Tensor", batch_idx: int) -> "torch.Tensor":
         """
         Training step.
 
@@ -61,7 +75,7 @@ def training_step(self, batch: torch.Tensor, batch_idx: int) -> torch.Tensor:
         """
         return self._common_step(batch, batch_idx, "train")
 
-    def _common_step(self, batch: torch.Tensor, batch_idx: int, stage: str) -> torch.Tensor:
+    def _common_step(self, batch: "torch.Tensor", batch_idx: int, stage: str) -> "torch.Tensor":
         """
         Perform common step.
 
@@ -70,6 +84,8 @@ def _common_step(self, batch: torch.Tensor, batch_idx: int, stage: str) -> torch
             batch_idx (int): Batch index.
             stage (str): Name of the stage - e.g. train, valid, test.
         """
+        import torch.nn.functional as F
+
         x = batch
         z = self.encoder(x)
         x_hat = self.decoder(z)
@@ -79,7 +95,9 @@ def _common_step(self, batch: torch.Tensor, batch_idx: int, stage: str) -> torch
 
         return loss
 
-    def configure_optimizers(self) -> torch.optim.Optimizer:
+    def configure_optimizers(self) -> "torch.optim.Optimizer":
         """Configure optimizer."""
-        optimizer = optim.Adam(self.parameters(), lr=self.lr)
+        import torch
+
+        optimizer = torch.optim.Adam(self.parameters(), lr=self.lr)
         return optimizer
diff --git a/srai/loaders/osm_loaders/pbf_file_downloader.py b/srai/loaders/osm_loaders/pbf_file_downloader.py
index 787c19ae..ae18aa74 100644
--- a/srai/loaders/osm_loaders/pbf_file_downloader.py
+++ b/srai/loaders/osm_loaders/pbf_file_downloader.py
@@ -218,8 +218,8 @@ def _prepare_polygon_for_download(self, polygon: Polygon) -> Polygon:
         Function buffers the polygon, closes internal holes and simplifies its boundary to 1000
         points.
 
-        Makes sure that the generated polygon will fully cover the original one by increasing
-        the buffer size incrementally.
+        Makes sure that the generated polygon will fully cover the original one by increasing the
+        buffer size incrementally.
         """
         is_fully_covered = False
         buffer_size_meters = 50
diff --git a/srai/neighbourhoods/_base.py b/srai/neighbourhoods/_base.py
index b7cfa6ae..df4dfcc5 100644
--- a/srai/neighbourhoods/_base.py
+++ b/srai/neighbourhoods/_base.py
@@ -13,16 +13,14 @@ class Neighbourhood(ABC, Generic[IndexType]):
     """
     Neighbourhood interface.
 
-    This class abstracts away getting the neighbours of a region.
-    It allows to get the neighbours at a certain distance or up to a certain distance.
-    It is worth noting, that the distance here is not a metric distance, but a number of hops.
-    This definition makes most sense semantically for grid systems such as H3 or S2 but should work
-    for arbitrary neighbourhoods as well.
+    This class abstracts away getting the neighbours of a region. It allows to get the neighbours at
+    a certain distance or up to a certain distance. It is worth noting, that the distance here is
+    not a metric distance, but a number of hops. This definition makes most sense semantically for
+    grid systems such as H3 or S2 but should work for arbitrary neighbourhoods as well.
 
     The subclasses only need to implement the `get_neighbours` method, but can also override the
     `get_neighbours_up_to_distance` and `get_neighbours_at_distance` methods for performance
-    reasons.
-    See the `H3Neighbourhood` class for an example.
+    reasons. See the `H3Neighbourhood` class for an example.
     """
 
     @abstractmethod
diff --git a/srai/utils/_pytorch_stubs.py b/srai/utils/_pytorch_stubs.py
new file mode 100644
index 00000000..46ec64e3
--- /dev/null
+++ b/srai/utils/_pytorch_stubs.py
@@ -0,0 +1,4 @@
+class LightningModule:  # pragma: no cover
+    """LightningModule class stub."""
+
+    ...


Test patch:
diff --git a/tests/miscellaneous/test_optional_dependencies.py b/tests/miscellaneous/test_optional_dependencies.py
index 188bc4e2..743dcf50 100644
--- a/tests/miscellaneous/test_optional_dependencies.py
+++ b/tests/miscellaneous/test_optional_dependencies.py
@@ -11,6 +11,26 @@
 from srai.utils._optional import ImportErrorHandle, import_optional_dependency
 
 
+@pytest.fixture  # type: ignore
+def optional_packages() -> List[str]:
+    """Get a list with optional packages."""
+    return [
+        "osmium",
+        "osmnx",
+        "overpass",
+        "pymap3d",
+        "haversine",
+        "spherical_geometry",
+        "gtfs_kit",
+        "folium",
+        "mapclassify",
+        "plotly",
+        "kaleido",
+        "pytorch-lightning",
+        "torch",
+    ]
+
+
 @pytest.fixture(autouse=True)  # type: ignore
 def cleanup_imports():
     """Clean imports."""
@@ -32,23 +52,10 @@ def find_spec(self, fullname, path, target=None) -> None:  # type: ignore
 
 
 @pytest.fixture  # type: ignore
-def no_optional_dependencies(monkeypatch):
+def no_optional_dependencies(monkeypatch, optional_packages):
     """Mock environment without optional dependencies."""
     d = PackageDiscarder()
 
-    optional_packages = [
-        "osmium",
-        "osmnx",
-        "overpass",
-        "pymap3d",
-        "haversine",
-        "spherical_geometry",
-        "gtfs_kit",
-        "folium",
-        "mapclassify",
-        "plotly",
-        "kaleido",
-    ]
     for package in optional_packages:
         sys.modules.pop(package, None)
         d.pkgnames.append(package)
@@ -57,9 +64,9 @@ def no_optional_dependencies(monkeypatch):
     sys.meta_path.remove(d)
 
 
-def _test_voronoi_regionizer() -> None:
+def _test_voronoi() -> None:
     import geopandas as gpd
-    from shapely.geometry import Point, box
+    from shapely.geometry import Point
 
     from srai.regionizers import VoronoiRegionizer
 
@@ -75,42 +82,35 @@ def _test_voronoi_regionizer() -> None:
         index=[1, 2, 3, 4],
         crs=WGS84_CRS,
     )
-    vr = VoronoiRegionizer(seeds=seeds_gdf)
-    vr.transform(
-        gdf=gpd.GeoDataFrame(
-            {GEOMETRY_COLUMN: [box(minx=-180, maxx=180, miny=-90, maxy=90)]}, crs=WGS84_CRS
-        )
-    )
+    VoronoiRegionizer(seeds=seeds_gdf)
 
 
-def _test_administrative_boundary_regionizer() -> None:
-    from srai.regionizers.administrative_boundary_regionizer import (
-        AdministrativeBoundaryRegionizer,
-    )
+def _test_plotting() -> None:
+    from srai.plotting import folium_wrapper, plotly_wrapper
 
-    asia_bbox = box(
-        minx=69.73278412113555,
-        miny=24.988848422533074,
-        maxx=88.50230949587835,
-        maxy=34.846427760404225,
-    )
-    asia_bbox_gdf = gpd.GeoDataFrame({GEOMETRY_COLUMN: [asia_bbox]}, crs=WGS84_CRS)
-    abr = AdministrativeBoundaryRegionizer(
-        admin_level=2, return_empty_region=True, toposimplify=0.001
-    )
-    abr.transform(gdf=asia_bbox_gdf)
+    folium_wrapper.plot_regions(_get_regions_gdf())
+    plotly_wrapper.plot_regions(_get_regions_gdf(), return_plot=True)
 
 
-def _test_plotting_folium_module() -> None:
-    from srai.plotting import folium_wrapper
+def _test_torch() -> None:
+    from srai.embedders import GTFS2VecEmbedder, Highway2VecEmbedder
 
-    folium_wrapper.plot_regions(_get_regions_gdf())
+    Highway2VecEmbedder()
+    GTFS2VecEmbedder()
+
+
+def _test_osm() -> None:
+    from srai.loaders.osm_loaders import OSMPbfLoader
+    from srai.regionizers import AdministrativeBoundaryRegionizer
+
+    AdministrativeBoundaryRegionizer(2)
+    OSMPbfLoader()
 
 
-def _test_plotting_plotly_module() -> None:
-    from srai.plotting import plotly_wrapper
+def _test_gtfs() -> None:
+    from srai.loaders import GTFSLoader
 
-    plotly_wrapper.plot_regions(_get_regions_gdf())
+    GTFSLoader()
 
 
 def _get_regions_gdf() -> gpd.GeoDataFrame:
@@ -133,10 +133,11 @@ def _get_regions_gdf() -> gpd.GeoDataFrame:
 @pytest.mark.parametrize(  # type: ignore
     "test_fn",
     [
-        (_test_voronoi_regionizer),
-        (_test_administrative_boundary_regionizer),
-        (_test_plotting_folium_module),
-        (_test_plotting_plotly_module),
+        (_test_voronoi),
+        (_test_plotting),
+        (_test_torch),
+        (_test_osm),
+        (_test_gtfs),
     ],
 )
 def test_optional_available(test_fn):
@@ -148,10 +149,11 @@ def test_optional_available(test_fn):
 @pytest.mark.parametrize(  # type: ignore
     "test_fn",
     [
-        (_test_voronoi_regionizer),
-        (_test_administrative_boundary_regionizer),
-        (_test_plotting_folium_module),
-        (_test_plotting_plotly_module),
+        (_test_voronoi),
+        (_test_plotting),
+        (_test_torch),
+        (_test_osm),
+        (_test_gtfs),
     ],
 )
 def test_optional_missing(test_fn):