because it is a generic tool and access restriction should be done by API.

test.erp5.testUpgrader.py: update the bt5list in afterSetUp(). Otherwise the user has to invoke genbt5list manually before runnning the test. It was also confusing, because the same test would pass in the server but not locally

Solve divergence dialog was raising unauthorized error when new solver process was created
by this script (when called with someone who was not manager). Therefore use proxy role and
protect call with "View" permission. View is used instead of modify portal content since we could
imagine cases where user might need to solve divergence even though is has no right to modify
delivery.

Improve form.
Add a property sheet for NoteBook line.

Improve UI (sorting).

erp5_data_notebook: Refactor test because mime_type for an invalid image shouldn't be dependent on the filename only

erp5_data_notebook: Add dependency as erp5_base as we would be using portal_type 'Image' in various places

erp5_data_notebook bt5: Rename Base_savePlot to Base_saveImage and add kwargs in parameters for the external function

erp5_data_notebook bt5: Close plot object and after every call to Base_dispalyImage with matplotlib object

erp5_dat_notebook bt5: Add External method base_savePlot and use Image module as context while creating new Image Object in base_savePlot

erp5_dat_notebook bt5: Add Base_savePlot to JupyterCompile extension which would help creating an ERP5 Image object from matplotlib plots

erp5_data_notebook bt5: Rename Base_displayMatplotlibImage to Base_displayImage so as to make it sound more generic

mime_type for results for executed jupyter_code from JupyterCompile extension
has also been defined on the server side itself.

This would help server to have more command over what Content-Type  would be
displayed to jupyter frontend.

erp5_data_notebook bt5: Use dictionary to save module imports instead of saving it as list of strings.

Using dictinary its easier to update modules frequently.

For example, executing code:

'''
import numpy as np
import numpy
'''

would result as :
local_variable_dict['imports'] = {'numpy': 'numpy', 'np': 'numpy'}
which is what we expect to be saved in globals() also.

Problem: Module objects are not picklable, thus, trying them to save in
local_variable_dict which is further saved in ZODB via ActiveResult object
of CMFActivity was giving error. So, its better to save the module objects
as code_strings in local_variable_dict.

As for now, for example:
local_variable_dict = {'imports': ['import numpy as np', 'import matplotlib as mpl'],
			 'variables': {'a':1, 'b:2'}}
for jupyter_code = """
import numpy as np
import matplotlib as mlp
a= 1; b=2; print a+b
"""

erp5_data_notebook bt5: Update Listbox containing Data Notebook Lines to maximum of 20 lines per page

erp5_data_notebook bt5: Refactor test to use reference while searching through portal_catalog instead of notebook_code which was incorrect as there was no key as such in SQL_catalog for erp5

erp5_data_notebook bt5: Make notebook_code and notebook_code_result field uneditable for Data Notebook Line object