extend to full 0.10 changes

Author: mschubert

NEWS.md

@@ -1,17 +1,23 @@
-# git head
+# clustermq 0.10.0
 
-* Random seed initialization now starts from the supplied seed
+#### Features
+
+* Add GCS and OCS schedulers (#342) @ernst-bablick
 * Worker errors now report the random seed if used
 * Worker memory is now reported for the process instead of R only
+* Worker API: rename `send` to `send_eval` to group send-family functions
 * Installation: `CLUSTERMQ_AUTO_LIBZMQ=1` will ensure crash monitor is enabled
 
-# clustermq 0.10.0
+#### Bugfix
+
+* Fix a bug where `send_wait` was evaluated on the master (#340) @wlandau
+
+#### Internal
 
-* Add GCS and OCS schedulers (#342) @ernst-bablick
-* Fix a bug where `Sys.sleep` was evaluated on the master (#340) @wlandau
-* Worker API: rename `send` to `send_eval`, deprecate `send_wait`
 * Explicit setting of common data (deprecated in `0.9.0`) is removed
 * Template field `CMQ_AUTH` is now obligatory
+* Default templates now limit R to 25 Mb less than job limit
+* Random seed initialization now starts from the supplied seed
 
 # clustermq 0.9.9
 

vignettes/userguide.Rmd

@@ -111,9 +111,9 @@ to test your code on a subset of the data before submitting it to a scheduler.
 
 There are reasons why you might prefer to not to work on the computing cluster
 directly but rather on your local machine instead.
-[RStudio](https://posit.co/products/open-source/rstudio/) is an excellent local
+[RStudio](https://posit.co/products/open-source/rstudio) is an excellent local
 IDE, it's more responsive than and feature-rich than browser-based solutions
-([RStudio server](https://posit.co/products/open-source/rstudio-server/),
+([RStudio server](https://posit.co/products/open-source/rstudio-server),
 [Project Jupyter](https://jupyter.org/)), and it avoids X forwarding issues
 when you want to look at plots you just made.