Add codacy badge and complete restructure

.github/workflows/codeql-analysis.yml

@@ -1,46 +0,0 @@
-name: "CodeQL"
-
-on:
-  push:
-    branches: [master]
-  pull_request:
-    # The branches below must be a subset of the branches above
-    branches: [master]
-  schedule:
-    - cron: "16 17 * * 3"
-
-jobs:
-  analyze:
-    name: Analyze
-    runs-on: ubuntu-latest
-
-    strategy:
-      fail-fast: false
-      matrix:
-        language: ["python"]
-
-    steps:
-      - name: Checkout repository
-        uses: actions/checkout@v2
-
-      # Initializes the CodeQL tools for scanning.
-      - name: Initialize CodeQL
-        uses: github/codeql-action/init@v1
-        with:
-          languages: ${{ matrix.language }}
-
-      - name: Autobuild
-        uses: github/codeql-action/autobuild@v1
-
-      # ℹ️ Command-line programs to run using the OS shell.
-      # 📚 https://git.io/JvXDl
-
-      # ✏️ If the Autobuild fails above, remove it and uncomment the following three lines
-      #    and modify them (or add more) to build your code if your project
-      #    uses a compiled language
-
-      - run: |
-        make install
-
-      - name: Perform CodeQL Analysis
-        uses: github/codeql-action/analyze@v1

.github/workflows/main.yml

@@ -32,7 +32,7 @@ jobs:
       - name: Lint
         run: |
           black --check --diff src
-          flake8 --count src
+          flake8 --count --per-file-ignores="__init__.py:F401" src
       - name: Tests
         run: |
           coverage run -m unittest discover -v - s src

Makefile

@@ -17,7 +17,7 @@ coverage:
 
 lint:  ## Lint and static-check
 	black src
-	flake8 src
+	flake8 --per-file-ignores="__init__.py:F401" src
 
 push:  ## Push code with tags
 	git push && git push --tags

README.md

@@ -1,5 +1,7 @@
 # FImdlp
 
+[![Codacy Badge](https://app.codacy.com/project/badge/Grade/8b4d784fee13401588aa8c06532a2f6d)](https://www.codacy.com/gh/Doctorado-ML/FImdlp/dashboard?utm_source=github.com&utm_medium=referral&utm_content=Doctorado-ML/FImdlp&utm_campaign=Badge_Grade)
+
 Discretization algorithm based on the paper by Usama M. Fayyad and Keki B. Irani 
 
 ```

pyproject.toml

@@ -55,3 +55,7 @@ exclude = '''
   | dist
 )/
 '''
+[tool.flake8]
+per-file-ignores = ['__init__.py:F401']
+max-line-length = 79
+count = true

src/fimdlp/__init__.py

@@ -1,3 +1,8 @@
 from ._version import __version__
 
+
+def version():
+    return __version__
+
+
 all = ["FImdlp", "__version__"]

src/fimdlp/mdlp.py

@@ -16,8 +16,8 @@ class FImdlp(TransformerMixin, BaseEstimator):
     Parameters
     ----------
     n_jobs : int, default=-1
-        The number of jobs to run in parallel. :meth:`fit` and 
-        :meth:`transform`, are parallelized over the features. ``-1`` means 
+        The number of jobs to run in parallel. :meth:`fit` and
+        :meth:`transform`, are parallelized over the features. ``-1`` means
         using all cores available.
 
     Attributes
@@ -28,9 +28,9 @@ class FImdlp(TransformerMixin, BaseEstimator):
         The list of discretizers, one for each feature.
     cut_points_ : list
         The list of cut points for each feature.
-    X_ : array 
+    X_ : array
         the samples used to fit, shape (n_samples, n_features)
-    y_ : array 
+    y_ : array
         the labels used to fit, shape (n_samples,)
     features_ : list
         the list of features to be discretized

src/fimdlp/tests/FImdlp_test.py

@@ -3,9 +3,14 @@ import sklearn
 from sklearn.datasets import load_iris
 import numpy as np
 from ..mdlp import FImdlp
+from .. import version
+from .._version import __version__
 
 
 class FImdlpTest(unittest.TestCase):
+    def test_version(self):
+        self.assertEqual(version(), __version__)
+
     def test_init(self):
         clf = FImdlp()
         self.assertEqual(-1, clf.n_jobs)

src/fimdlp/tests/__init__.py

@@ -1,3 +1 @@
 from .FImdlp_test import FImdlpTest
-
-all = ["FImdlpTest"]