updated for new version

Author: Ian-Goodall-Halliwell

.github/workflows/build_wheels_PyPI.yml

@@ -52,7 +52,7 @@ jobs:
           fi
           
           # Create proper wheel filename with platform tag
-          NEW_WHEEL="${WHEEL_BASE}-cp${PY_VERSION}-cp${PY_VERSION}-${PLATFORM_TAG}.whl"
+          NEW_WHEEL="${WHEEL_BASE}-py${PY_VERSION}-py${PY_VERSION}-${PLATFORM_TAG}.whl"
           
           # Create a directory for platform-specific wheels
           mkdir -p platform_wheels
@@ -106,7 +106,6 @@ jobs:
           find ./all_wheels -name "*.whl" -exec cp {} ./dist/ \;
           ls -la dist/
       
-      # New step to upload all wheels together to the GitHub Release
       - name: Upload all wheels to GitHub Release
         if: github.event_name == 'release'
         uses: svenstaro/upload-release-action@v2
@@ -123,4 +122,4 @@ jobs:
           TWINE_PASSWORD: ${{ secrets.PYPI_PASSWORD }}
         run: |
           echo "Uploading to REAL PyPI - THIS IS NOT A TEST"
-          twine upload --verbose ./dist/*.whl
+          twine upload --verbose --skip-existing ./dist/*.whl

README.md

@@ -2,16 +2,16 @@
 
 <div align="left">
 
-[![Version](https://img.shields.io/github/v/tag/LaMAR/z-brains)](https://github.com/MICA-MNI/LaMAR)
-[![GitHub issues](https://img.shields.io/github/issues/MICA-MNI/LaMAR?color=brightgreen)](https://github.com/MICA-MNI/LaMAR/issues)
-[![GitHub stars](https://img.shields.io/github/stars/MICA-MNI/LaMAR.svg?style=flat&label=%E2%AD%90%EF%B8%8F%20stars&color=brightgreen)](https://github.com/MICA-MNI/LaMAR/stargazers)
-![License](https://img.shields.io/badge/license-MIT-brightgreen) 
+[![Version](https://img.shields.io/github/v/tag/LAMAR/)](https://github.com/MICA-MNI/LAMAR)
+[![GitHub issues](https://img.shields.io/github/issues/MICA-MNI/LAMAR?color=brightgreen)](https://github.com/MICA-MNI/LAMAR/issues)
+[![GitHub stars](https://img.shields.io/github/stars/MICA-MNI/LAMAR.svg?style=flat&label=%E2%AD%90%EF%B8%8F%20stars&color=brightgreen)](https://github.com/MICA-MNI/LAMAR/stargazers)
+
 
 </div>
 
 We introduced a novel approach for more accurate registration between modalities. This python based workflow combines deep learning-based segmentation and numerical solutions (ANTs) to generate precise warpfields, even for modalities with low signal-to-noise ratio, signal dropout and strong geometric distortions, such as diffusion MRI and fMRI acquisitions. 
 
-![lamar_workflow](https://raw.githubusercontent.com/MICA-MNI/LaMAR/main/docs/workflow.png)
+![lamar_workflow](https://raw.githubusercontent.com/MICA-MNI/LAMAR/main/docs/workflow.png)
 
 ## Overview
 

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "LAMAR"
-version = "1.0.0"
+version = "1.0.1"
 authors = [
   { name="Ian Goodall-Halliwell", email="goodallhalliwell@gmail.com" },
 ]