Updates to devel version

DESCRIPTION

@@ -1,7 +1,7 @@
 Package: dgpsi
 Type: Package
 Title: Interface to 'dgpsi' for Deep and Linked Gaussian Process Emulations 
-Version: 2.5.0
+Version: 2.5.0-9000
 Authors@R: c(
   person('Deyu', 'Ming', role = c('aut', 'cre', 'cph'),
          email = 'deyu.ming.16@ucl.ac.uk'),

NEWS.md

@@ -1,3 +1,5 @@
+# dgpsi 2.5.0-9000 (development version)
+
 # dgpsi 2.5.0
 - Training times for DGP emulators are now approximately 30%-40% faster.
 - The computation of (D)GP predictions and Leave-One-Out (LOO) evaluations is now 6-7 times faster.

R/initi_py.R

@@ -43,13 +43,13 @@ init_py <- function(py_ver = NULL, dgpsi_ver = NULL, reinstall = FALSE, uninstal
   if ( is.null(py_ver) ) py_ver <- '3.9.13'
   if ( is.null(dgpsi_ver) ) {
     ##For devel version
-    #dgpsi_ver <- c('cython>=0.29.30', 'dill>=0.3.2, <=0.3.5.1', 'jupyter>=1.0.0', 'matplotlib-base>=3.2.1', 'numba >=0.51.2',
-    #               'numpy >=1.18.2', 'pathos ==0.2.9', 'multiprocess ==0.70.13', 'psutil >=5.8.0', 'pybind11 >=2.10.0', 'pythran >=0.11.0',
-    #               'scikit-build >=0.15.0', 'scikit-learn >=0.22.0', 'scipy >=1.4.1', 'tqdm >=4.50.2', 'tabulate >=0.8.7', 'faiss-cpu >=1.7.4')
-    #env_name <- 'dgp_si_R_2_4_0_9000'
+    dgpsi_ver <- c('cython>=0.29.30', 'dill>=0.3.2, <=0.3.5.1', 'jupyter>=1.0.0', 'matplotlib-base>=3.2.1', 'numba >=0.51.2',
+                   'numpy >=1.18.2', 'pathos ==0.2.9', 'multiprocess ==0.70.13', 'psutil >=5.8.0', 'pybind11 >=2.10.0', 'pythran >=0.11.0',
+                   'scikit-build >=0.15.0', 'scikit-learn >=0.22.0', 'scipy >=1.4.1', 'tqdm >=4.50.2', 'tabulate >=0.8.7', 'faiss-cpu >=1.7.4')
+    env_name <- 'dgp_si_R_2_5_0_9000'
     ##For release version
-    dgpsi_ver <- 'dgpsi==2.5.0'
-    env_name <- 'dgp_si_R_2_5_0'
+    #dgpsi_ver <- 'dgpsi==2.5.0'
+    #env_name <- 'dgp_si_R_2_5_0'
   } else {
     env_name <- paste('dgp_si_R_', gsub(".", "_", dgpsi_ver,fixed=TRUE), sep = "")
     dgpsi_ver <- paste('dgpsi==', dgpsi_ver, sep = "")