update tests for new location and Update dependencies.

Signed-off-by: Jos Verlinde <jos_verlinde@hotmail.com>

Author: Josverl

.devcontainer/devcontainer.json

@@ -46,6 +46,8 @@
 	// Comment out to connect as root instead. More info: https://aka.ms/vscode-remote/containers/non-root.
 	"remoteUser": "vscode",
 	"features": {
-		"powershell": "latest"
+		"powershell": "latest",
+		"ghcr.io/devcontainers/features/docker-outside-of-docker:1": {},
+		"ghcr.io/itsmechlark/features/act:1": {}
 	}
 }

.github/workflows/compare_score.py

@@ -3,7 +3,6 @@
 
 import requests
 from dotenv import load_dotenv
-from dotenv import load_dotenv
 
 try:
 
@@ -20,7 +19,7 @@
 
 # set by pytest in custom conftest reporting
 new_scores = {}
-with open("coverage/snippet_score.json", "r") as f:
+with open("results/snippet_score.json", "r") as f:
     new_scores = json.load(f)
 
 

.github/workflows/list_versions.py

@@ -1,3 +1,19 @@
+"""
+This module retrieves the versions of Micropython from the Micropython repository on GitHub.
+It is used to generate a matrix of versions to create stubs for using Github Actions.
+
+It provides a function `micropython_versions` that returns a list of versions starting from a specified version.
+The module also includes a main block that generates a matrix of versions based on command-line arguments and environment variables.
+The matrix is printed as JSON and can be optionally written to a file if running in a GitHub Actions workflow.
+"""
+import json
+import os
+import sys
+
+from github import Github
+from packaging.version import parse
+
+...
 import json
 import os
 import sys

.vscode/settings.json

@@ -1,26 +1,6 @@
 {
     "workbench.colorCustomizations": {
-        "activityBar.activeBorder": "#422c74",
-        "activityBar.activeBackground": "#2f7c47",
-        "activityBar.background": "#2f7c47",
-        "activityBar.foreground": "#e7e7e7",
-        "activityBar.inactiveForeground": "#e7e7e799",
-        "activityBarBadge.background": "#422c74",
-        "activityBarBadge.foreground": "#e7e7e7",
-        "commandCenter.border": "#e7e7e799",
-        "editorGroup.border": "#2f7c47",
-        "panel.border": "#2f7c47",
-        "sash.hoverBorder": "#2f7c47",
-        "statusBar.background": "#215732",
-        "statusBar.foreground": "#e7e7e7",
-        "statusBarItem.hoverBackground": "#2f7c47",
-        "statusBarItem.remoteBackground": "#215732",
-        "statusBarItem.remoteForeground": "#e7e7e7",
-        "tab.activeBorder": "#2f7c47",
-        "titleBar.activeBackground": "#215732",
-        "titleBar.activeForeground": "#e7e7e7",
-        "titleBar.inactiveBackground": "#21573299",
-        "titleBar.inactiveForeground": "#e7e7e799"
+        "activityBar.activeBorder": "#422c74"
     },
     "peacock.color": "#215732",
     "cSpell.words": [

pyproject.toml

@@ -23,6 +23,8 @@ python_functions = ["test_", "*_test"]
 python_files = ["test_*.py", "*_test.py"]
 testpaths = ["quality_tests"]
 norecursedirs = [
+    "publish",
+    "stubs",
     "repos",
     "typings*",
     ".svn",

requirements-stats.txt

@@ -0,0 +1,10 @@
+# download reporting
+ipykernel
+google-cloud-bigquery==3.12.0
+pandas
+matplotlib
+ipywidgets 
+ipympl # interactive matplotlib figures in jupyter
+
+# keyring # for storing credentials
+

requirements.txt

@@ -1,8 +1,29 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# 2) Report download statistics\n",
+    "\n",
+    "This Jupyter Notebook contains code and analysis for analyzing and visualizing data from a CSV file. The notebook utilizes the pandas library to read and manipulate the data, and the matplotlib library to create various types of graphs and visualizations.\n",
+    "\n",
+    "The notebook is organized into multiple cells, each serving a specific purpose. The cells include importing necessary libraries, reading the CSV file, performing data manipulation and analysis, and creating different types of graphs and visualizations.\n",
+    "\n",
+    "The goal of this notebook is to provide a step-by-step guide for analyzing and visualizing data from a CSV file using Python and Jupyter Notebook. \n",
+    "\n",
+    "Please execute the cells in sequential order to ensure the proper execution of the code and generation of the desired visualizations.\n",
+    "\n",
+    "\n",
+    "#### Dependencies\n",
+    "Please note that this notebook requires the installation of the necessary dependencies, such as pandas, matplotlib, and the Google Big Query SDK.\n",
+    "\n",
+    "see [requirements-stats.txt](../requirements-stats.txt) for a list of dependencies."
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [