Update license year to 2025, bump version to 1.0.0, enhance README fo…

…rmatting, and improve CI workflow with additional coverage reporting options

.github/workflows/python-ci.yml

@@ -18,6 +18,8 @@ jobs:
 
     steps:
     - uses: actions/checkout@v3
+      with:
+        fetch-depth: 2
 
     - name: Set up Python ${{ matrix.python-version }}
       uses: actions/setup-python@v4
@@ -37,12 +39,17 @@ jobs:
         
     - name: Test with pytest
       run: |
-        pytest --cov=dgNova --cov-report=xml
+        pytest --cov=dgNova --cov-report=xml --cov-report=term-missing
         
-    - name: Upload coverage reports to Codecov
+    - name: Upload coverage to Codecov
       uses: codecov/codecov-action@v3
-      env:
-        CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
+      with:
+        token: ${{ secrets.CODECOV_TOKEN }}
+        files: ./coverage.xml
+        flags: unittests
+        name: codecov-umbrella
+        fail_ci_if_error: true
+        verbose: true
 
   publish:
     needs: build

LICENSE

@@ -1,6 +1,6 @@
 MIT License
 
-Copyright (c) 2024 Nadim Khan
+Copyright (c) 2025 Nadim Khan
 
 Permission is hereby granted, free of charge, to any person obtaining a copy
 of this software and associated documentation files (the "Software"), to deal

README.md

@@ -1,11 +1,10 @@
-[![Logo](documentation/logo.svg)](https://nfornadimkhan.github.io/dgNova/)
 [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
 [![Python CI](https://github.com/nfornadimkhan/dgNova/actions/workflows/python-ci.yml/badge.svg)](https://github.com/nfornadimkhan/dgNova/actions/workflows/python-ci.yml)
 [![codecov](https://codecov.io/gh/nfornadimkhan/dgNova/branch/main/graph/badge.svg)](https://codecov.io/gh/nfornadimkhan/dgNova)
 [![PyPI version](https://badge.fury.io/py/dgNova.svg)](https://badge.fury.io/py/dgNova)
 
 # dgNova (Designs Nova)
-
+[![Logo](documentation/logo.svg)](https://nfornadimkhan.github.io/dgNova/)
 A Python library for Statistical Analysis and Simulations of Plant Breeding Experiments, designed specifically for researchers and students who are new to programming but want to understand field design concepts through practical implementation.
 
 ![sample](https://github.com/user-attachments/assets/03bc5ccc-201d-414e-88f9-ba4a7a3eedb9)
@@ -43,7 +42,6 @@ Future implementations will include:
 - Mating Design
 - Fieldbook Generation
 - Spatial Analysis
-- 
 
 ## Installation
 

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "dgNova"
-version = "0.1.0"
+version = "1.0.0"
 description = "Statistical Analysis and Simulations for Plant Breeding Experiments"
 readme = "README.md"
 requires-python = ">=3.7"