Merge pull request #86 from Bears-R-Us/compilation_warnings

Final Prep for new Arachne Release

README.md

@@ -2,8 +2,8 @@
 This is an external repository to build functionality for [Arkouda](https://github.com/Bears-R-Us/Arkouda) with a focus on advanced graph processing. It is built with the same structure as [arkouda-contrib](https://github.com/Bears-R-Us/arkouda-contrib) to manage modules and easily swap between the production (`arachne`) and development (`arachne_development`) directories.
 
 ## Prerequisites
-1. Download and build [Chapel](https://chapel-lang.org/download.html). **Use version 1.31.0. There are some [reported performance issues](https://github.com/chapel-lang/chapel/issues/23680) with 1.32.0 that are being looked at.**
-2. Download but **do not build** [Arkouda](https://github.com/Bears-R-Us/arkouda). **We recommend using the most recent release v2023.10.06.**
+1. Download and build [Chapel](https://chapel-lang.org/download.html). **Chapel version 1.32.0 and 1.33.0 are supported.**
+2. Download but **do not build** [Arkouda](https://github.com/Bears-R-Us/arkouda). **We recommend using the most recent release v2023.11.15.**
 3. Follow instructions to activate the Arkouda environment and install all [prerequisites](https://github.com/Bears-R-Us/arkouda#prerequisites-toc). **We recommend using `Anaconda` to manage all dependencies.** 
 
 ## Installation

arachne/README.md

@@ -11,14 +11,10 @@ python3 module_configuration.py --ak_loc=/complete/path/to/arkouda/ --pkg_path=/
 ```
 
 ## Usage
-To see an example on how to run and use Arachne, please use `arkouda-njit/arachne/arachne_sample.py` to build a random graph and run breadth-first search on it. This assumes that you have started an Arkouda server using `./arkouda_server` in the Arkouda home directory. The file is executed as follows:
-```bash
-python3 arachne_sample.py node port n m x y
-```
-Where `n` is the number of vertices in the graph, `m` is the number of edges, `host` is the locale that the Arkouda server is running on, and `port` is where the Arkouda server is listening on for messages. Further, the graph is populated with `x` labels and `y` relationships.
+To see an example on how to run and use Arachne, please use `arkouda-njit/arachne/arachne_sample.ipynb` to build a random property graph and run queries. This assumes that you have started an Arkouda server using `./arkouda_server` in the Arkouda home directory.
 
 ## Testing
 The Arachne tests are executed from the arkouda-njit/arachne directory as follows with pytest:
 ```bash
-python3 -m pytest test/algorithm_test.py test/class_test.py
+python3 -m pytest test/algorithm_test.py test/class_test.py test/prop_graph_test.py
 ```