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nexedi
erp5
Commits
7c8614d0
Commit
7c8614d0
authored
Apr 03, 2024
by
Jérome Perrin
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patches/Restricted: update for numpy 1.22.0 and pandas 1.4.0 on PY3
parent
90f2905e
Changes
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15 additions
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8 deletions
+15
-8
product/ERP5Type/patches/Restricted.py
product/ERP5Type/patches/Restricted.py
+15
-8
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product/ERP5Type/patches/Restricted.py
View file @
7c8614d0
...
@@ -450,6 +450,9 @@ except ImportError:
...
@@ -450,6 +450,9 @@ except ImportError:
import_default_level
=
-
1
import_default_level
=
-
1
def
guarded_import
(
mname
,
globals
=
None
,
locals
=
None
,
fromlist
=
None
,
def
guarded_import
(
mname
,
globals
=
None
,
locals
=
None
,
fromlist
=
None
,
level
=
import_default_level
):
level
=
import_default_level
):
# XXX workaround C-code calling PyImport_Import
if
mname
in
(
'numpy.core._dtype'
,):
return
__import__
(
mname
,
globals
,
locals
,
fromlist
)
for
fromname
in
fromlist
or
():
for
fromname
in
fromlist
or
():
if
fromname
[:
1
]
==
'_'
:
if
fromname
[:
1
]
==
'_'
:
raise
Unauthorized
(
fromname
)
raise
Unauthorized
(
fromname
)
...
@@ -512,6 +515,7 @@ for dtype in ('int8', 'int16', 'int32', 'int64', \
...
@@ -512,6 +515,7 @@ for dtype in ('int8', 'int16', 'int32', 'int64', \
'uint8'
,
'uint16'
,
'uint32'
,
'uint64'
,
\
'uint8'
,
'uint16'
,
'uint32'
,
'uint64'
,
\
'float16'
,
'float32'
,
'float64'
,
\
'float16'
,
'float32'
,
'float64'
,
\
'complex64'
,
'complex128'
):
'complex64'
,
'complex128'
):
allow_type
(
type
(
np
.
dtype
(
dtype
)))
z
=
np
.
array
([
0
,],
dtype
=
dtype
)
z
=
np
.
array
([
0
,],
dtype
=
dtype
)
allow_type
(
type
(
z
[
0
]))
allow_type
(
type
(
z
[
0
]))
allow_type
(
type
(
z
))
allow_type
(
type
(
z
))
...
@@ -524,12 +528,9 @@ for dtype in ('int8', 'int16', 'int32', 'int64', \
...
@@ -524,12 +528,9 @@ for dtype in ('int8', 'int16', 'int32', 'int64', \
allow_type
(
type
(
rz
[
0
]))
allow_type
(
type
(
rz
[
0
]))
allow_type
(
type
(
rz
))
allow_type
(
type
(
rz
))
# TODO zope4py3
allow_type
(
np
.
dtype
)
#allow_type(np.dtype)
allow_type
(
np
.
timedelta64
)
allow_type
(
np
.
timedelta64
)
allow_type
(
type
(
np
.
c_
))
allow_type
(
type
(
np
.
c_
))
# TODO zope4py3
#allow_type(type(np.dtype('int16')))
sz
=
np
.
array
([(
'2017-07-12T12:30:20'
,)],
dtype
=
[(
'date'
,
'M8[s]'
)])
sz
=
np
.
array
([(
'2017-07-12T12:30:20'
,)],
dtype
=
[(
'date'
,
'M8[s]'
)])
allow_type
(
type
(
sz
[
0
][
'date'
]))
allow_type
(
type
(
sz
[
0
][
'date'
]))
...
@@ -576,20 +577,26 @@ else:
...
@@ -576,20 +577,26 @@ else:
allow_class
(
pd
.
DataFrame
)
allow_class
(
pd
.
DataFrame
)
# Note: These black_list methods are for pandas 0.19.2
# Note: These black_list methods are for pandas 0.19.2
on PY2 and 1.4.0 on PY3
series_black_list
=
(
'to_csv'
,
'to_json'
,
'to_pickle'
,
'to_hdf'
,
series_black_list
=
(
'to_csv'
,
'to_json'
,
'to_pickle'
,
'to_hdf'
,
'to_sql'
,
'to_msgpack'
)
'to_sql'
,)
if
six
.
PY2
:
series_black_list
+=
(
'to_msgpack'
,
)
ContainerAssertions
[
pd
.
Series
]
=
_check_access_wrapper
(
ContainerAssertions
[
pd
.
Series
]
=
_check_access_wrapper
(
pd
.
Series
,
dict
.
fromkeys
(
series_black_list
,
restrictedMethod
))
pd
.
Series
,
dict
.
fromkeys
(
series_black_list
,
restrictedMethod
))
pandas_black_list
=
(
'read_pickle'
,
'read_hdf'
,
pandas_black_list
=
(
'read_pickle'
,
'read_hdf'
,
'read_excel'
,
'read_html'
,
'read_msgpack'
,
'read_excel'
,
'read_html'
,
'read_gbq'
,
'read_sas'
,
'read_stata'
)
'read_gbq'
,
'read_sas'
,
'read_stata'
)
if
six
.
PY2
:
pandas_black_list
+=
(
'read_msgpack'
,
)
ModuleSecurityInfo
(
MNAME_MAP
[
'pandas'
]).
declarePrivate
(
*
pandas_black_list
)
ModuleSecurityInfo
(
MNAME_MAP
[
'pandas'
]).
declarePrivate
(
*
pandas_black_list
)
dataframe_black_list
=
(
'to_csv'
,
'to_json'
,
'to_pickle'
,
'to_hdf'
,
dataframe_black_list
=
(
'to_csv'
,
'to_json'
,
'to_pickle'
,
'to_hdf'
,
'to_excel'
,
'to_html'
,
'to_sql'
,
'to_msgpack'
,
'to_excel'
,
'to_html'
,
'to_sql'
,
'to_latex'
,
'to_gbq'
,
'to_stata'
)
'to_latex'
,
'to_gbq'
,
'to_stata'
)
if
six
.
PY2
:
dataframe_black_list
+=
(
'to_msgpack'
,
)
ContainerAssertions
[
pd
.
DataFrame
]
=
_check_access_wrapper
(
ContainerAssertions
[
pd
.
DataFrame
]
=
_check_access_wrapper
(
pd
.
DataFrame
,
dict
.
fromkeys
(
dataframe_black_list
,
restrictedMethod
))
pd
.
DataFrame
,
dict
.
fromkeys
(
dataframe_black_list
,
restrictedMethod
))
...
...
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