See Revert "zope patches: display OFSFile content using full available height in zmi".

This fixes testBigFile failures because of `size` not being set to 0 when `data`
is set to None.

Modify DTML templates likewise Zope4 removal commit:
  commit 1df76c1ea8911d7d9249eb6beab1fafd4ed5803c
  Author: Hanno Schlichting <hanno@hannosch.eu>
  Date:   Sun Jul 3 14:19:26 2011 +0000
      Removed `bobobase_modification_time` from `Persistence.Persistent`, you can use `DateTime(object._p_mtime)` instead.

This fixes failure on test_PROPFIND_on_document (testWebDavSupport).

This reverts commit 8f5497d4.

This is not longer needed - with Zope 4 the ZMI is better and we now
have possibility to edit most of these through ERP5 user interface.
The main motivation is that these kind of patches are really hard to
keep up to date.

This reverts commit 88786a70.

This is not longer needed - with Zope 4 the ZMI is better and we now
have possibility to edit most of these through ERP5 user interface.
The main motivation is that these kind of patches are really hard to
keep up to date.

This reverts commit c89e308f.

This is not longer needed - with Zope 4 the ZMI is better and we now
have possibility to edit most of these through ERP5 user interface.
The main motivation is that these kind of patches are really hard to
keep up to date.

In the changes from ExternalMethod 2.13.1 -> 4.5, now ExternalMethod
define __code__ (and __defaults__) to a computed attribute calling
getFunction, but getFunction is different in our patched class, so
when unwrapMethod tries to get __code__, it will raise and mapply
will not consider the external method as being callable, so a simple
__repr__ of the ExternalMethod will be used as response body when
published.

By defining __code__ to something using our patched logic, this
problem does not happen.

Utility function taking care of the internal changes between RestrictedPython v3
and v5, keeping support for both (instead of having multiple if statements).

* Emtpy parameter.
* No argument.

* "OFS.CopySupport exceptions have been removed: you should use strings instead."
* "WSGI is used in place of ZServer."
* "StringType must be imported from types"
* "'script' is forbidden as python script name"

With a254bf50 we
migrated most of np related security code from Wendelin to ERP5, we only
missed few lines. This patch moves the remaining lines to ERP5 so
that all numpy related restricted python code is at one place and no
longer scattered at two different repos/files.

tested at: https://erp5js.nexedi.net/#/test_result_module/20230302-F5352509

See merge request !1746

This makes it easier to test this API ( see testSlapOSPayzenWorkflow
from slapos.core )

fcd26be0 (CMFActivity,syncml: stop using a dedicated log file,
2023-02-17) introduced a regression in test and left an unused variable.

Pandas 0.20.0 introduced a bug fix [1] which changed the behaviour of
'DataFrame.to_records()', so that the resulting Record objects dtype names are
unicodes if the data frames column names were unicode. Before this bug fix
the dtype names were str, no matter whether the column names were str or unicode.

Unfortunately np unpickle breaks if dtype names are unicode [2]. Since
many of our data frame columns are unicode, loading arrays often
fails. In python3 this isn't a problem anymore, so until then we fix
this by introducing a simple monkey patch to pandas, which basically
reverts the mentioned bug fix.

[1] https://github.com/pandas-dev/pandas/issues/11879
[2] Small example to reproduce this error:

''
import os

import numpy as np
import pandas as pd

r = pd.DataFrame({u'A':[1,2,3]}).to_records()
a = np.ndarray(shape=r.shape, dtype=r.dtype.fields)
p = "t"

try:
  os.remove(p)
except:
  pass

with open(p, 'wb') as f:
  np.save(f, a)
with open(p, 'rb') as f:
  np.load(f)
''

/reviewed-on nexedi/erp5!1738
/reviewed-by @jerome @klaus

Add test which verifies that we can un/pickle 'pd.DataFrame' which were
converted to 'np.recarray' via the '.to_records()' method.

This test is necessary because it turns out that the combination of
pandas >= 0.20.x + python2 doesn't support this functionality by
default if the data frames column names are unicodes.

Please see !1738 (comment 179298) for
additional context.

/reviewed-on !1738
/reviewed-by @jerome @klaus

There are newer pandas versions which still support python2. The latest
one which still supports py2 (0.24.x) has initially been released in 2019
and should therefore be quite stable and better supported. We should
therefore prepare ERP5 so that it support those newer versions.

This patch mostly fixes movements within the internal pandas structure.
The patch still supports old object locations of previous pandas versions.

/reviewed-on nexedi/erp5!1738
/reviewed-by @jerome @klaus

We already use '.resample.mean()' in some projects.

/reviewed-on nexedi/erp5!1738
/reviewed-by @jerome @klaus

In some projects we use pandas resampler inside 'portal_callables'
(so with restricted Python). But we miss tests which check
whether pandas resamplers are allowed inside the restricted Python.
Due to this lack of tests we won't notice whether the usage of pandas
resamplers still work with a newer pandas version. With this patch
we can recognize if an internal change of pandas makes the resampler unusuable
in restricted Python.

/reviewed-on !1738
/reviewed-by @jerome @klaus

see b6dcbc19 (l10n_fr,l10n_jp: Fix translation of "Open", 2021-04-30)

This was old compatibility code

$INSTANCE_HOME/log only exists in runUnitTest instances, this code had
no effect in slapos instances.

It is a future problem because it depends on the Signals module (part
of ZServer package) and we are removing this dependency in the python 3
port.

For the SynchronizationTool, it was even more problematic because it
can cause the component not to loed, with an error like:

    ImportError: erp5.component.tool.SynchronizationTool: cannot load Component SynchronizationTool (signal only works in main thread)

See merge request nexedi/erp5!1745

See merge request !1744

Also, manually handle mouseover for highlighting relation field menu lines instead
of using css. Indeed, we have to manually handle possibility that highlight could
be done either by mouse or by keyboard.