peacock-data-public-datasets-idc-cronscript
/
venv
/lib
/python3.10
/site-packages
/dill
/tests
/test_selected.py
#!/usr/bin/env python | |
# | |
# Author: Mike McKerns (mmckerns @caltech and @uqfoundation) | |
# Copyright (c) 2008-2016 California Institute of Technology. | |
# Copyright (c) 2016-2024 The Uncertainty Quantification Foundation. | |
# License: 3-clause BSD. The full license text is available at: | |
# - https://github.com/uqfoundation/dill/blob/master/LICENSE | |
""" | |
testing some selected object types | |
""" | |
import dill | |
dill.settings['recurse'] = True | |
verbose = False | |
def test_dict_contents(): | |
c = type.__dict__ | |
for i,j in c.items(): | |
#try: | |
ok = dill.pickles(j) | |
#except Exception: | |
# print ("FAIL: %s with %s" % (i, dill.detect.errors(j))) | |
if verbose: print ("%s: %s, %s" % (ok, type(j), j)) | |
assert ok | |
if verbose: print ("") | |
def _g(x): yield x; | |
def _f(): | |
try: raise | |
except Exception: | |
from sys import exc_info | |
e, er, tb = exc_info() | |
return er, tb | |
class _d(object): | |
def _method(self): | |
pass | |
from dill import objects | |
from dill import load_types | |
load_types(pickleable=True,unpickleable=False) | |
_newclass = objects['ClassObjectType'] | |
# some clean-up #FIXME: should happen internal to dill | |
objects['TemporaryFileType'].close() | |
objects['TextWrapperType'].close() | |
objects['BufferedRandomType'].close() | |
objects['BufferedReaderType'].close() | |
objects['BufferedWriterType'].close() | |
objects['FileType'].close() | |
del objects | |
# getset_descriptor for new-style classes (fails on '_method', if not __main__) | |
def test_class_descriptors(): | |
d = _d.__dict__ | |
for i in d.values(): | |
ok = dill.pickles(i) | |
if verbose: print ("%s: %s, %s" % (ok, type(i), i)) | |
assert ok | |
if verbose: print ("") | |
od = _newclass.__dict__ | |
for i in od.values(): | |
ok = dill.pickles(i) | |
if verbose: print ("%s: %s, %s" % (ok, type(i), i)) | |
assert ok | |
if verbose: print ("") | |
# (__main__) class instance for new-style classes | |
def test_class(): | |
o = _d() | |
oo = _newclass() | |
ok = dill.pickles(o) | |
if verbose: print ("%s: %s, %s" % (ok, type(o), o)) | |
assert ok | |
ok = dill.pickles(oo) | |
if verbose: print ("%s: %s, %s" % (ok, type(oo), oo)) | |
assert ok | |
if verbose: print ("") | |
# frames, generators, and tracebacks (all depend on frame) | |
def test_frame_related(): | |
g = _g(1) | |
f = g.gi_frame | |
e,t = _f() | |
_is = lambda ok: ok | |
ok = dill.pickles(f) | |
if verbose: print ("%s: %s, %s" % (ok, type(f), f)) | |
assert not ok | |
ok = dill.pickles(g) | |
if verbose: print ("%s: %s, %s" % (ok, type(g), g)) | |
assert _is(not ok) #XXX: dill fails | |
ok = dill.pickles(t) | |
if verbose: print ("%s: %s, %s" % (ok, type(t), t)) | |
assert not ok #XXX: dill fails | |
ok = dill.pickles(e) | |
if verbose: print ("%s: %s, %s" % (ok, type(e), e)) | |
assert ok | |
if verbose: print ("") | |
def test_typing(): | |
import typing | |
x = typing.Any | |
assert x == dill.copy(x) | |
x = typing.Dict[int, str] | |
assert x == dill.copy(x) | |
x = typing.List[int] | |
assert x == dill.copy(x) | |
x = typing.Tuple[int, str] | |
assert x == dill.copy(x) | |
x = typing.Tuple[int] | |
assert x == dill.copy(x) | |
x = typing.Tuple[()] | |
assert x == dill.copy(x) | |
x = typing.Tuple[()].copy_with(()) | |
assert x == dill.copy(x) | |
return | |
if __name__ == '__main__': | |
test_frame_related() | |
test_dict_contents() | |
test_class() | |
test_class_descriptors() | |
test_typing() | |