Move creation of KV store dictionary to python layer

.github/workflows/test_setup.yml

@@ -5,25 +5,25 @@ on:
     branches:
       - main
       - branch-bug
-      - update-test-branch
       - test-branch7
-      - test-branch8
+      - test-branch-pyDict
 
 jobs:
   test:
     runs-on: ${{matrix.os}}
     strategy:
       matrix:
         os: [ubuntu-latest, windows-latest, macos-14]
+        matlab-version: ['R2023b','R2024a']
 
     steps:
     - name: Checkout code
       uses: actions/checkout@v2
 
-    - name: Set up MATLAB R2024a
+    - name: Set up MATLAB
       uses: matlab-actions/setup-matlab@v2
       with:
-        release: R2024a
+        release: ${{matrix.matlab-version}}
 
     - name: Set up Python
       uses: actions/setup-python@v5

PythonModule/ZarrPy.py

@@ -7,6 +7,32 @@
 import numpy as np
 import tensorstore as ts
 
+def createKVStore(isRemote, objPath, bucketName="") -> dict:
+    """
+    Creates a KV store (a python dictionary) for reading or writing
+    a Zarr file
+
+    Parameters:
+    - isRemote (bool): whether the resource to be accessed with this 
+KV store is remote (s3) or local
+    - objPath (str): path to local Zarr file or to s3 object    
+    - bucketName (str): If file is remote, this should be the S3 bucket 
+name 
+
+    Returns:
+    - KVStore (dict): Key-Value store as required by tensorstore to work 
+with Zarr
+    """
+    KVStore = dict(path=objPath);
+
+    if isRemote:
+        KVStore['driver'] = 's3'
+        KVStore['bucket'] = bucketName
+    else:
+        KVStore['driver'] = 'file'
+
+    return KVStore
+
 def createZarr(kvstore_schema, data_shape, chunk_shape, tstoreDataType, zarrDataType, compressor, fillvalue):
     """
     Creates a new Zarr array and writes data to it.
@@ -72,4 +98,4 @@ def readZarr (kvstore_schema):
 
     # Read a subset of the data
     data = zarr_file[...].read().result()
-    return data
+    return data

Zarr.m

@@ -198,14 +198,12 @@ function makeZarrGroups(existingParentPath, newGroupsPath)
                 % Extract the S3 bucket name and path
                 [bucketName, objectPath] = obj.extractS3BucketNameAndPath(obj.Path);
                 % Create a Python dictionary for the KV store driver
-                RemoteStoreSchema = dictionary(["driver", "bucket", "path"], ["s3", bucketName, objectPath]);
-                obj.KVStoreSchema = py.dict(RemoteStoreSchema);
+                obj.KVStoreSchema = py.ZarrPy.createKVStore(obj.isRemote, objectPath, bucketName);
 
             else % Local file
                 % use full path
                 obj.Path = Zarr.getFullPath(path);
-                FileStoreSchema = dictionary(["driver", "path"], ["file", obj.Path]);
-                obj.KVStoreSchema = py.dict(FileStoreSchema);
+                obj.KVStoreSchema = py.ZarrPy.createKVStore(obj.isRemote, obj.Path);
             end
         end