Updated Distributions

Edited python build file for version 0.1.0

Author: aramyxt

dist/pore2chip-0.1.0-py3-none-any.whl

@@ -76,7 +76,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.image.AxesImage at 0x2399d3fd4f0>"
+       "<matplotlib.image.AxesImage at 0x13a4d468a90>"
       ]
      },
      "execution_count": 2,
@@ -86,7 +86,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "24fc3b81177c41e4892f05bbab4bc92a",
+       "model_id": "d4a9eab4b4ed4e759ada0c58cb42a6ed",
        "version_major": 2,
        "version_minor": 0
       },

dist/pore2chip-0.1.0.tar.gz

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "pore2chip"
-version = "0.0.8"
+version = "0.1.0"
 authors = [
   { name="Aramy Truong", email="[email protected]" },
   { name="Maruti Mudunuru", email="[email protected]" },
@@ -16,9 +16,9 @@ authors = [
   { name="Anil Krishna Battu", email="[email protected]" },
   { name="Satish Karra", email="[email protected]" },
 ]
-description = "A package that takes XCT images of porous materials and generates representative micromodels"
+description = "A package that takes 3D images of porous materials and generates representative micromodels"
 readme = "README.md"
-requires-python = ">=3.8"
+requires-python = ">=3.9"
 
 classifiers = [
     "Programming Language :: Python :: 3",
@@ -30,4 +30,4 @@ dynamic = ["dependencies"]
 dependencies = {file = ["requirements.txt"]}
 
 [project.urls]
-Homepage = "https://github.com/aramyxt/Pore2Chip"
+Homepage = "https://github.com/EMSL-Computing/Pore2Chip"

examples/example_1_50x50_to_model.ipynb

@@ -1,12 +1,12 @@
 Metadata-Version: 2.1
 Name: pore2chip
-Version: 0.0.8
-Summary: A package that takes XCT images of porous materials and generates representative micromodels
+Version: 0.1.0
+Summary: A package that takes 3D images of porous materials and generates representative micromodels
 Author-email: Aramy Truong <[email protected]>, Maruti Mudunuru <[email protected]>, Erin Rooney <[email protected]>, Arunima Bhattacharjee <[email protected]>, Tamas Varga <[email protected]>, Lal Mamud <[email protected]>, "Xiaoliang (Bryan) He" <[email protected]>, Anil Krishna Battu <[email protected]>, Satish Karra <[email protected]>
-Project-URL: Homepage, https://github.com/aramyxt/Pore2Chip
+Project-URL: Homepage, https://github.com/EMSL-Computing/Pore2Chip
 Classifier: Programming Language :: Python :: 3
 Classifier: Operating System :: OS Independent
-Requires-Python: >=3.8
+Requires-Python: >=3.9
 Description-Content-Type: text/markdown
 License-File: LICENSE.md
 Requires-Dist: drawsvg
@@ -60,7 +60,7 @@ Below is a conceptual figure, workflow, and vision for this all-in-one Python to
 
 **Conclusion:** The iterative ModEx loop continuously improves multi-physics process models through integration with experimental data, leading to more accurate predictions for soil carbon cycling and rhizosphere function applications.
 
-![ModExLoop](https://github.com/aramyxt/XCT_to_Micromodel/blob/main/example_outputs/ModEx_Loop_SoilChip.jpg)
+![ModExLoop](https://github.com/EMSL-Computing/XCT_to_Micromodel/blob/main/example_outputs/ModEx_Loop_SoilChip.jpg)
 
 ## Capability summary: What the Pore2Chip module can do?
 * Extract pore sizes and pore throat sizes
@@ -99,14 +99,14 @@ pip install pore2chip
 ```
 Install from source:
 ```
-git clone https://github.com/aramyxt/Pore2Chip.git 
+git clone https://github.com/EMSL-Computing/Pore2Chip.git 
 cd Pore2Chip
 python3 -m build
 python3 -m pip install pore2chip --no-index --find-links dist/
 ```
 ...or alternatively:
 ```
-git clone https://github.com/aramyxt/Pore2Chip.git 
+git clone https://github.com/EMSL-Computing/Pore2Chip.git 
 python3 pip install -e ./Pore2Chip
 ```
 
@@ -119,7 +119,7 @@ pip install pore2chip
 
 Building a Docker Image with Jupyter Notebook:
 ```
-git clone https://github.com/aramyxt/Pore2Chip.git 
+git clone https://github.com/EMSL-Computing/Pore2Chip.git 
 cd Pore2Chip
 docker build -t pore2chip
 docker run -p 8888:8888 pore2chip
@@ -247,12 +247,12 @@ The micromodels generated by Pore2Chip can be meshed for multi-physics simulatio
 * Example-7: 2D Steady-State Flow on XCT image with Physics-informed Neural Network (PINN)
 
 ## Authors
-* Aramy Truong (lead-developer), EMSL (<[email protected]>)
-* Maruti Mudunuru (co-developer), PNNL (<[email protected]>)
+* Aramy Truong (lead developer), EMSL (<[email protected]>)
+* Maruti Mudunuru (co-lead developer), PNNL (<[email protected]>)
 * Erin Rooney, USDA (<[email protected]>)
 * Arunima Bhattacharjee, EMSL (<[email protected]>)
 * Tamas Varga, EMSL (<[email protected]>)
-* Lal Mamud (co-developer), PNNL (<[email protected]>)
+* Lal Mamud (developer), PNNL (<[email protected]>)
 * Xiaoliang (Bryan) He, PNNL (<[email protected]>)
 * Anil Krishna Battu, EMSL (<[email protected]>)
 * Satish Karra, EMSL (<[email protected]>)