add pre-commit hooks (#75)

Author: Juan Orduz

.github/workflows/publish-to-test-pypi.yml

@@ -35,7 +35,7 @@ jobs:
       with:
         password: ${{ secrets.TEST_PYPI_API_TOKEN }}
         repository_url: https://test.pypi.org/legacy/
-  
+
     - name: Publish distribution to PyPI
       if: startsWith(github.ref, 'refs/tags')
       uses: pypa/gh-action-pypi-publish@release/v1

.github/workflows/test.yml

@@ -55,4 +55,4 @@ jobs:
         with:
           env_vars: OS,PYTHON
           name: codecov-umbrella
-          fail_ci_if_error: false
+          fail_ci_if_error: false

.gitignore

@@ -160,3 +160,6 @@ cython_debug/
 #  and can be added to the global gitignore or merged into this file.  For a more nuclear
 #  option (not recommended) you can uncomment the following to ignore the entire idea folder.
 #.idea/
+
+# vscode
+.vscode/

.pre-commit-config.yaml

@@ -0,0 +1,22 @@
+repos:
+  - repo: local
+    hooks:
+      - id: black
+        name: black
+        entry: black
+        language: system
+        types: [python]
+        files: ^pymc_bart/
+      - id: pylint
+        name: pylint
+        entry: pylint --rcfile=.pylintrc
+        language: system
+        types: [python]
+        files: ^pymc_bart/
+  - repo: https://github.com/pre-commit/pre-commit-hooks
+    rev: v3.2.0
+    hooks:
+      - id: trailing-whitespace
+      - id: end-of-file-fixer
+      - id: check-yaml
+      - id: check-added-large-files

.pylintrc

@@ -68,7 +68,7 @@ disable=missing-docstring,
         bad-continuation,
         import-error,
         protected-access
-        
+
 
 
 # Enable the message, report, category or checker with the given id(s). You can

README.md

@@ -2,7 +2,7 @@
 Bayesian Additive Regression Trees for Probabilistic programming with PyMC
 
 
-PyMC-BART extends [PyMC](https://github.com/pymc-devs/pymc) probabilistic programming framework to be able to define and solve models including a BART random variable. PyMC-BART also includes a few helpers function to aid with the interpretation of those models and perform variable selection. 
+PyMC-BART extends [PyMC](https://github.com/pymc-devs/pymc) probabilistic programming framework to be able to define and solve models including a BART random variable. PyMC-BART also includes a few helpers function to aid with the interpretation of those models and perform variable selection.
 
 
 ## Installation

docs/Makefile

@@ -23,4 +23,4 @@ local:
 # Catch-all target: route all unknown targets to Sphinx using the new
 # "make mode" option.  $(O) is meant as a shortcut for $(SPHINXOPTS).
 %: Makefile
-	@$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)
+	@$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)

docs/api_reference.rst

@@ -14,4 +14,3 @@ methods in the current release of PyMC-BART.
 
 .. automodule:: pymc_bart
    :members: BART, PGBART, plot_dependence, plot_variable_importance, predict
-

docs/index.rst

@@ -23,7 +23,7 @@ Overview
 ============
 PyMC-BART extends `PyMC <https://github.com/pymc-devs/pymc>`_ probabilistic programming framework to be able to define
 and solve models including a BART random variable.  PyMC-BART also includes a few helpers function to aid with the
-interpretation of those models and perform variable selection. 
+interpretation of those models and perform variable selection.
 
 
 Installation