[MNT] Diffprivlib 0.6 (#74)

* Updating dependency tests and removing support for Python 3.7

* Updating readthedocs.yml

* Updating notebooks

* Adding CodeQL scanning to GH Actions

* Updating README versions and badges

* Updating version number

Author: naoise-h

.github/workflows/codeql.yml

@@ -0,0 +1,52 @@
+# For most projects, this workflow file will not need changing; you simply need
+# to commit it to your repository.
+#
+# You may wish to alter this file to override the set of languages analyzed,
+# or to provide custom queries or build logic.
+#
+# ******** NOTE ********
+# We have attempted to detect the languages in your repository. Please check
+# the `language` matrix defined below to confirm you have the correct set of
+# supported CodeQL languages.
+#
+name: "CodeQL"
+
+on:
+  push:
+    branches: ['**']
+  pull_request:
+    branches: [ main ]
+
+jobs:
+  analyze:
+    name: Analyze
+    runs-on: ubuntu-latest
+    permissions:
+      actions: read
+      contents: read
+      security-events: write
+
+    strategy:
+      fail-fast: false
+      matrix:
+        language: [ 'python' ]
+
+    steps:
+    - name: Checkout repository
+      uses: actions/checkout@v3
+
+    # Initializes the CodeQL tools for scanning.
+    - name: Initialize CodeQL
+      uses: github/codeql-action/init@v2
+      with:
+        languages: ${{ matrix.language }}
+
+    # Autobuild attempts to build any compiled languages  (C/C++, C#, or Java).
+    # If this step fails, then you should remove it and run the build manually (see below)
+    - name: Autobuild
+      uses: github/codeql-action/autobuild@v2
+
+    - name: Perform CodeQL Analysis
+      uses: github/codeql-action/analyze@v2
+      with:
+        category: "/language:${{matrix.language}}"

.github/workflows/general.yml

@@ -17,7 +17,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        python-version: ['3.7', '3.8', '3.9', '3.10']
+        python-version: ['3.8', '3.9', '3.10']
 
     steps:
     - uses: actions/checkout@v2

.github/workflows/libraries.yml

@@ -19,35 +19,26 @@ jobs:
 
       matrix:
         include:
-          - library: numpy
-            version: 1.19.5
-            python-version: 3.8
-          - library: numpy
-            version: 1.20.3
-            python-version: 3.9
           - library: numpy
             version: 1.21.6
-            python-version: 3.9
+            python-version: '3.10'
+          - library: numpy
+            version: 1.22.4
+            python-version: '3.10'
 
-          - library: scikit-learn
-            version: 0.23.2
-            python-version: 3.8
           - library: scikit-learn
             version: 0.24.2
             python-version: 3.9
           - library: scikit-learn
             version: 1.0.2
-            python-version: 3.9
+            python-version: '3.10'
 
-          - library: scipy
-            version: 1.5.4
-            python-version: 3.8
-          - library: scipy
-            version: 1.6.3
-            python-version: 3.8
           - library: scipy
             version: 1.7.3
-            python-version: 3.9
+            python-version: '3.10'
+          - library: scipy
+            version: 1.8.1
+            python-version: '3.10'
 
           - library: crlibm
             python-version: '3.10'

README.md

@@ -1,12 +1,12 @@
-# Diffprivlib v0.5
+# Diffprivlib v0.6
 
 [![Python versions](https://img.shields.io/pypi/pyversions/diffprivlib.svg)](https://pypi.org/project/diffprivlib/)
 [![Downloads](https://pepy.tech/badge/diffprivlib)](https://pepy.tech/project/diffprivlib)
 [![PyPi version](https://img.shields.io/pypi/v/diffprivlib.svg)](https://pypi.org/project/diffprivlib/)
 [![PyPi status](https://img.shields.io/pypi/status/diffprivlib.svg)](https://pypi.org/project/diffprivlib/)
 [![General tests](https://github.com/IBM/differential-privacy-library/actions/workflows/general.yml/badge.svg)](https://github.com/IBM/differential-privacy-library/actions/workflows/general.yml)
 [![Documentation Status](https://readthedocs.org/projects/diffprivlib/badge/?version=latest)](https://diffprivlib.readthedocs.io/en/latest/?badge=latest)
-[![Language grade: Python](https://img.shields.io/lgtm/grade/python/g/IBM/differential-privacy-library.svg?logo=lgtm&logoWidth=18)](https://lgtm.com/projects/g/IBM/differential-privacy-library/context:python)
+[![CodeQL](https://github.com/IBM/differential-privacy-library/actions/workflows/codeql.yml/badge.svg)](https://github.com/IBM/differential-privacy-library/actions/workflows/codeql.yml)
 [![codecov](https://codecov.io/gh/IBM/differential-privacy-library/branch/main/graph/badge.svg)](https://codecov.io/gh/IBM/differential-privacy-library)
 
 Diffprivlib is a general-purpose library for experimenting with, investigating and developing applications in, differential privacy.
@@ -17,7 +17,7 @@ Use diffprivlib if you are looking to:
 - Explore the impact of differential privacy on machine learning accuracy using classification and clustering models 
 - Build your own differential privacy applications, using our extensive collection of mechanisms
 
-Diffprivlib supports Python versions 3.7 to 3.10.
+Diffprivlib supports Python versions 3.8 to 3.10.
 
 ## Getting started: [Machine learning with differential privacy in 30 seconds](https://github.com/IBM/differential-privacy-library/blob/main/notebooks/30seconds.ipynb)
 We're using the [Iris dataset](https://archive.ics.uci.edu/ml/datasets/iris), so let's load it and perform an 80/20 train/test split.

diffprivlib/__init__.py

@@ -29,4 +29,4 @@
 from diffprivlib import tools
 from diffprivlib.accountant import BudgetAccountant
 
-__version__ = '0.6.dev0'
+__version__ = '0.6.0'

diffprivlib/accountant.py

@@ -307,7 +307,7 @@ def check(self, epsilon, delta):
             return True
 
         raise BudgetError(f"Privacy spend of ({epsilon},{delta}) not permissible; will exceed remaining privacy budget."
-                          f"Use {self.__class__.__name__}.{self.remaining.__name__}() to check remaining budget.")
+                          f" Use {self.__class__.__name__}.{self.remaining.__name__}() to check remaining budget.")
 
     def remaining(self, k=1):
         """Calculates the budget that remains to be spent.

notebooks/30seconds.ipynb

@@ -45,12 +45,17 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      ".../site-packages/diffprivlib/models/naive_bayes.py:102: PrivacyLeakWarning: Bounds have not been specified and will be calculated on the data provided. This will result in additional privacy leakage. To ensure differential privacy and no additional privacy leakage, specify bounds for each dimension.\n",
-      "  \"privacy leakage, specify bounds for each dimension.\", PrivacyLeakWarning)\n"
+      ".../site-packages/diffprivlib/models/naive_bayes.py:107: PrivacyLeakWarning: Bounds have not been specified and will be calculated on the data provided. This will result in additional privacy leakage. To ensure differential privacy and no additional privacy leakage, specify bounds for each dimension.\n",
+      "  warnings.warn(\"Bounds have not been specified and will be calculated on the data provided. This will \"\n"
      ]
     },
     {
      "data": {
+      "text/html": [
+       "<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>GaussianNB(accountant=BudgetAccountant(spent_budget=[(1.0, 0)]),\n",
+       "           bounds=(array([4.3, 2. , 1. , 0.1]), array([7.9, 4.4, 6.9, 2.5])))</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">GaussianNB</label><div class=\"sk-toggleable__content\"><pre>GaussianNB(accountant=BudgetAccountant(spent_budget=[(1.0, 0)]),\n",
+       "           bounds=(array([4.3, 2. , 1. , 0.1]), array([7.9, 4.4, 6.9, 2.5])))</pre></div></div></div></div></div>"
+      ],
       "text/plain": [
        "GaussianNB(accountant=BudgetAccountant(spent_budget=[(1.0, 0)]),\n",
        "           bounds=(array([4.3, 2. , 1.1, 0.1]), array([7.9, 4.4, 6.9, 2.5])))"
@@ -176,7 +181,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -190,7 +195,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.8"
+   "version": "3.9.7"
   }
  },
  "nbformat": 4,