ensure numpy updates

1 files changed, 10 insertions, 5 deletions

diff --git a/required_modules.py b/required_modules.py
index 069a1b7..8aecc7d 100644
--- a/required_modules.py
+++ b/required_modules.py
@@ -1,7 +1,6 @@
-import bpy
+import bpy, numpy
 from subprocess import run
 from . import file_ops
-import numpy
 
 # get python's binary path (literally my saviour)
 py_bin = bpy.app.binary_path_python
@@ -20,9 +19,11 @@ except:
   # hecking install pip (ensurepip) + required modules
   run([py_bin, "-B", "-m", "ensurepip"])
   # update basic modules then download new modules
-  # before that, rename the numpy folder to be able to update numpy
   run(pip_install + upd_mods)
-  run(pip_install + new_mods)  
+  run(pip_install + new_mods)
+  # rename numpy's installation folder (cannot delete the folder in windows)
+  file_ops.rename(numpy.__path__[0], numpy.__path__[0] + "_bad")
+  run(pip_install + ["numpy==1.18.5"]) # install a newer version
   print("First exit!")
   bpy.ops.wm.quit_blender()
   exit(0)
@@ -33,6 +34,10 @@ print("lxml %s is installed!" % (lxml.__version__))
 # for those who have installed blenxy before, update numpy
 # hacky way to do it but it is the only way that works
 if (numpy.__version__ != "1.18.5"):
-  file_ops.rm_folder(numpy.__path__[0]) # remove the installation folder
+  # rename numpy's installation folder (cannot delete the folder in windows)
+  file_ops.rename(numpy.__path__[0], numpy.__path__[0] + "_bad")
   run(pip_install + ["numpy==1.18.5"]) # install a newer version
+  print("Second exit!")
+  bpy.ops.wm.quit_blender()
+  exit(0)
 print("numpy %s is installed!" % (numpy.__version__))