fix binder jlab extensions; remove wheel upload (#75)

* add sas2nb for binder and SO question

* bump version 2.4.4 after merge

* add iris.sas test file

* change github workflow to not upload wheel.

Author: jld23

.github/workflows/python-publish.yml

@@ -29,5 +29,6 @@ jobs:
         TWINE_USERNAME: __token__
         TWINE_PASSWORD: ${{ secrets.PYPI_API_TOKEN }}
       run: |
-        python setup.py sdist bdist_wheel
+        # python setup.py sdist bdist_wheel
+        python setup.py sdist
         twine upload dist/*

binder/postBuild

@@ -34,3 +34,15 @@ jupyter nbextension install --py sas_kernel.theme --user
 jupyter nbextension enable sas_kernel.theme --py
 
 jupyter nbextension list
+
+## build sas2nb from source
+# git clone https://github.com/jld23/sas_kernel_ext.git
+# cd sas_kernel_ext/sas2nb
+
+# pip install -e .
+# # Link your development version of the extension with JupyterLab
+# jupyter labextension develop . --overwrite
+# # Rebuild extension Typescript source after making changes
+# jlpm run build
+
+

iris.sas

@@ -0,0 +1,98 @@
+/*-----------------------------------------------------------------
+            S A S   S A M P L E   L I B R A R Y                   
+                                                                  
+      NAME: FASTEX1                                               
+     TITLE: Example 1 for PROC FASTCLUS                           
+   PRODUCT: STAT                                                  
+    SYSTEM: ALL                                                   
+      KEYS: cluster analysis, Fisher's Iris Data                  
+     PROCS: FASTCLUS, FREQ, CANDISC, SGPLOT                       
+      DATA:                                                       
+                                                                  
+   SUPPORT: sasrbk                                                
+       REF: PROC FASTCLUS, EXAMPLE 1.                             
+      MISC:                                                       
+-----------------------------------------------------------------*/
+
+proc format;
+   value specname
+      1='Setosa    '
+      2='Versicolor'
+      3='Virginica ';
+run;
+
+data iris;
+   title 'Fisher (1936) Iris Data';
+   input SepalLength SepalWidth PetalLength PetalWidth Species @@;
+   format Species specname.;
+   label SepalLength='Sepal Length in mm.'
+         SepalWidth ='Sepal Width in mm.'
+         PetalLength='Petal Length in mm.'
+         PetalWidth ='Petal Width in mm.';
+   datalines;
+50 33 14 02 1 64 28 56 22 3 65 28 46 15 2 67 31 56 24 3
+63 28 51 15 3 46 34 14 03 1 69 31 51 23 3 62 22 45 15 2
+59 32 48 18 2 46 36 10 02 1 61 30 46 14 2 60 27 51 16 2
+65 30 52 20 3 56 25 39 11 2 65 30 55 18 3 58 27 51 19 3
+68 32 59 23 3 51 33 17 05 1 57 28 45 13 2 62 34 54 23 3
+77 38 67 22 3 63 33 47 16 2 67 33 57 25 3 76 30 66 21 3
+49 25 45 17 3 55 35 13 02 1 67 30 52 23 3 70 32 47 14 2
+64 32 45 15 2 61 28 40 13 2 48 31 16 02 1 59 30 51 18 3
+55 24 38 11 2 63 25 50 19 3 64 32 53 23 3 52 34 14 02 1
+49 36 14 01 1 54 30 45 15 2 79 38 64 20 3 44 32 13 02 1
+67 33 57 21 3 50 35 16 06 1 58 26 40 12 2 44 30 13 02 1
+77 28 67 20 3 63 27 49 18 3 47 32 16 02 1 55 26 44 12 2
+50 23 33 10 2 72 32 60 18 3 48 30 14 03 1 51 38 16 02 1
+61 30 49 18 3 48 34 19 02 1 50 30 16 02 1 50 32 12 02 1
+61 26 56 14 3 64 28 56 21 3 43 30 11 01 1 58 40 12 02 1
+51 38 19 04 1 67 31 44 14 2 62 28 48 18 3 49 30 14 02 1
+51 35 14 02 1 56 30 45 15 2 58 27 41 10 2 50 34 16 04 1
+46 32 14 02 1 60 29 45 15 2 57 26 35 10 2 57 44 15 04 1
+50 36 14 02 1 77 30 61 23 3 63 34 56 24 3 58 27 51 19 3
+57 29 42 13 2 72 30 58 16 3 54 34 15 04 1 52 41 15 01 1
+71 30 59 21 3 64 31 55 18 3 60 30 48 18 3 63 29 56 18 3
+49 24 33 10 2 56 27 42 13 2 57 30 42 12 2 55 42 14 02 1
+49 31 15 02 1 77 26 69 23 3 60 22 50 15 3 54 39 17 04 1
+66 29 46 13 2 52 27 39 14 2 60 34 45 16 2 50 34 15 02 1
+44 29 14 02 1 50 20 35 10 2 55 24 37 10 2 58 27 39 12 2
+47 32 13 02 1 46 31 15 02 1 69 32 57 23 3 62 29 43 13 2
+74 28 61 19 3 59 30 42 15 2 51 34 15 02 1 50 35 13 03 1
+56 28 49 20 3 60 22 40 10 2 73 29 63 18 3 67 25 58 18 3
+49 31 15 01 1 67 31 47 15 2 63 23 44 13 2 54 37 15 02 1
+56 30 41 13 2 63 25 49 15 2 61 28 47 12 2 64 29 43 13 2
+51 25 30 11 2 57 28 41 13 2 65 30 58 22 3 69 31 54 21 3
+54 39 13 04 1 51 35 14 03 1 72 36 61 25 3 65 32 51 20 3
+61 29 47 14 2 56 29 36 13 2 69 31 49 15 2 64 27 53 19 3
+68 30 55 21 3 55 25 40 13 2 48 34 16 02 1 48 30 14 01 1
+45 23 13 03 1 57 25 50 20 3 57 38 17 03 1 51 38 15 03 1
+55 23 40 13 2 66 30 44 14 2 68 28 48 14 2 54 34 17 02 1
+51 37 15 04 1 52 35 15 02 1 58 28 51 24 3 67 30 50 17 2
+63 33 60 25 3 53 37 15 02 1
+;
+
+proc fastclus data=iris maxc=2 maxiter=10 out=clus;
+   var SepalLength SepalWidth PetalLength PetalWidth;
+run;
+
+proc freq;
+   tables cluster*species;
+run;
+
+proc fastclus data=iris maxc=3 maxiter=10 out=clus;
+   var SepalLength SepalWidth PetalLength PetalWidth;
+run;
+
+proc freq;
+   tables cluster*Species;
+run;
+
+proc candisc anova out=can;
+   class cluster;
+   var SepalLength SepalWidth PetalLength PetalWidth;
+   title2 'Canonical Discriminant Analysis of Iris Clusters';
+run;
+
+proc sgplot data=Can;
+   scatter y=Can2 x=Can1 / group=Cluster;
+   title2 'Plot of Canonical Variables Identified by Cluster';
+run;

sas_kernel/version.py

@@ -13,4 +13,4 @@
 #  See the License for the specific language governing permissions and
 #  limitations under the License.
 #
-__version__ = '2.4.4.dev8'
+__version__ = '2.4.4'