The external method Base_displayImage displays images of two kind: plot and OFS image
saved in erp5. We had earlier checks for erp5 images but no check to for matplotlib
plot images.

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

erp5_data_notebook bt5: Changed name of portal type from Data Notebook Message to Data Notebook Line and changes in various scripts where it has been used

erp5_data_notebook bt5: Rename Notebook Cell Input and Notebook Cell Output in Data Notebook Message

erp5_data_notebook bt5: Use interactivity/mode and finally execute all code using exec to get rid of try:except

erp5-data-notebook bt5: Refactor testExecuteJupyter to new JupyterCompile where we are letting errors fails loudly in erp5

erp5-data-notebook bt5: Remove exception catching from Base_runJupyter external function and let the errors be raised loudly

erp5_data_notebook bt5: Add transaction abort and fail loudly in case of error in transaction script