cpython/Lib/test/test_descr.py

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# Test enhancements related to descriptors and new-style classes
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from test_support import verify, vereq, verbose, TestFailed, TESTFN
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from copy import deepcopy
def veris(a, b):
if a is not b:
raise TestFailed, "%r is %r" % (a, b)
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def testunop(a, res, expr="len(a)", meth="__len__"):
if verbose: print "checking", expr
dict = {'a': a}
vereq(eval(expr, dict), res)
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t = type(a)
m = getattr(t, meth)
while meth not in t.__dict__:
t = t.__bases__[0]
vereq(m, t.__dict__[meth])
vereq(m(a), res)
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bm = getattr(a, meth)
vereq(bm(), res)
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def testbinop(a, b, res, expr="a+b", meth="__add__"):
if verbose: print "checking", expr
dict = {'a': a, 'b': b}
vereq(eval(expr, dict), res)
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t = type(a)
m = getattr(t, meth)
while meth not in t.__dict__:
t = t.__bases__[0]
vereq(m, t.__dict__[meth])
vereq(m(a, b), res)
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bm = getattr(a, meth)
vereq(bm(b), res)
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def testternop(a, b, c, res, expr="a[b:c]", meth="__getslice__"):
if verbose: print "checking", expr
dict = {'a': a, 'b': b, 'c': c}
vereq(eval(expr, dict), res)
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t = type(a)
m = getattr(t, meth)
while meth not in t.__dict__:
t = t.__bases__[0]
vereq(m, t.__dict__[meth])
vereq(m(a, b, c), res)
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bm = getattr(a, meth)
vereq(bm(b, c), res)
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def testsetop(a, b, res, stmt="a+=b", meth="__iadd__"):
if verbose: print "checking", stmt
dict = {'a': deepcopy(a), 'b': b}
exec stmt in dict
vereq(dict['a'], res)
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t = type(a)
m = getattr(t, meth)
while meth not in t.__dict__:
t = t.__bases__[0]
vereq(m, t.__dict__[meth])
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dict['a'] = deepcopy(a)
m(dict['a'], b)
vereq(dict['a'], res)
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dict['a'] = deepcopy(a)
bm = getattr(dict['a'], meth)
bm(b)
vereq(dict['a'], res)
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def testset2op(a, b, c, res, stmt="a[b]=c", meth="__setitem__"):
if verbose: print "checking", stmt
dict = {'a': deepcopy(a), 'b': b, 'c': c}
exec stmt in dict
vereq(dict['a'], res)
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t = type(a)
m = getattr(t, meth)
while meth not in t.__dict__:
t = t.__bases__[0]
vereq(m, t.__dict__[meth])
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dict['a'] = deepcopy(a)
m(dict['a'], b, c)
vereq(dict['a'], res)
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dict['a'] = deepcopy(a)
bm = getattr(dict['a'], meth)
bm(b, c)
vereq(dict['a'], res)
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def testset3op(a, b, c, d, res, stmt="a[b:c]=d", meth="__setslice__"):
if verbose: print "checking", stmt
dict = {'a': deepcopy(a), 'b': b, 'c': c, 'd': d}
exec stmt in dict
vereq(dict['a'], res)
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t = type(a)
while meth not in t.__dict__:
t = t.__bases__[0]
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m = getattr(t, meth)
vereq(m, t.__dict__[meth])
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dict['a'] = deepcopy(a)
m(dict['a'], b, c, d)
vereq(dict['a'], res)
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dict['a'] = deepcopy(a)
bm = getattr(dict['a'], meth)
bm(b, c, d)
vereq(dict['a'], res)
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def class_docstrings():
class Classic:
"A classic docstring."
vereq(Classic.__doc__, "A classic docstring.")
vereq(Classic.__dict__['__doc__'], "A classic docstring.")
class Classic2:
pass
verify(Classic2.__doc__ is None)
class NewStatic(object):
"Another docstring."
vereq(NewStatic.__doc__, "Another docstring.")
vereq(NewStatic.__dict__['__doc__'], "Another docstring.")
class NewStatic2(object):
pass
verify(NewStatic2.__doc__ is None)
class NewDynamic(object):
"Another docstring."
vereq(NewDynamic.__doc__, "Another docstring.")
vereq(NewDynamic.__dict__['__doc__'], "Another docstring.")
class NewDynamic2(object):
pass
verify(NewDynamic2.__doc__ is None)
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def lists():
if verbose: print "Testing list operations..."
testbinop([1], [2], [1,2], "a+b", "__add__")
testbinop([1,2,3], 2, 1, "b in a", "__contains__")
testbinop([1,2,3], 4, 0, "b in a", "__contains__")
testbinop([1,2,3], 1, 2, "a[b]", "__getitem__")
testternop([1,2,3], 0, 2, [1,2], "a[b:c]", "__getslice__")
testsetop([1], [2], [1,2], "a+=b", "__iadd__")
testsetop([1,2], 3, [1,2,1,2,1,2], "a*=b", "__imul__")
testunop([1,2,3], 3, "len(a)", "__len__")
testbinop([1,2], 3, [1,2,1,2,1,2], "a*b", "__mul__")
testbinop([1,2], 3, [1,2,1,2,1,2], "b*a", "__rmul__")
testset2op([1,2], 1, 3, [1,3], "a[b]=c", "__setitem__")
testset3op([1,2,3,4], 1, 3, [5,6], [1,5,6,4], "a[b:c]=d", "__setslice__")
def dicts():
if verbose: print "Testing dict operations..."
testbinop({1:2}, {2:1}, -1, "cmp(a,b)", "__cmp__")
testbinop({1:2,3:4}, 1, 1, "b in a", "__contains__")
testbinop({1:2,3:4}, 2, 0, "b in a", "__contains__")
testbinop({1:2,3:4}, 1, 2, "a[b]", "__getitem__")
d = {1:2,3:4}
l1 = []
for i in d.keys(): l1.append(i)
l = []
for i in iter(d): l.append(i)
vereq(l, l1)
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l = []
for i in d.__iter__(): l.append(i)
vereq(l, l1)
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l = []
for i in dict.__iter__(d): l.append(i)
vereq(l, l1)
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d = {1:2, 3:4}
testunop(d, 2, "len(a)", "__len__")
vereq(eval(repr(d), {}), d)
vereq(eval(d.__repr__(), {}), d)
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testset2op({1:2,3:4}, 2, 3, {1:2,2:3,3:4}, "a[b]=c", "__setitem__")
def dict_constructor():
if verbose:
print "Testing dict constructor ..."
d = dict()
vereq(d, {})
d = dict({})
vereq(d, {})
d = dict(items={})
vereq(d, {})
d = dict({1: 2, 'a': 'b'})
vereq(d, {1: 2, 'a': 'b'})
vereq(d, dict(d.items()))
vereq(d, dict(items=d.iteritems()))
for badarg in 0, 0L, 0j, "0", [0], (0,):
try:
dict(badarg)
except TypeError:
pass
Generalize dictionary() to accept a sequence of 2-sequences. At the outer level, the iterator protocol is used for memory-efficiency (the outer sequence may be very large if fully materialized); at the inner level, PySequence_Fast() is used for time-efficiency (these should always be sequences of length 2). dictobject.c, new functions PyDict_{Merge,Update}FromSeq2. These are wholly analogous to PyDict_{Merge,Update}, but process a sequence-of-2- sequences argument instead of a mapping object. For now, I left these functions file static, so no corresponding doc changes. It's tempting to change dict.update() to allow a sequence-of-2-seqs argument too. Also changed the name of dictionary's keyword argument from "mapping" to "x". Got a better name? "mapping_or_sequence_of_pairs" isn't attractive, although more so than "mosop" <wink>. abstract.h, abstract.tex: Added new PySequence_Fast_GET_SIZE function, much faster than going thru the all-purpose PySequence_Size. libfuncs.tex: - Document dictionary(). - Fiddle tuple() and list() to admit that their argument is optional. - The long-winded repetitions of "a sequence, a container that supports iteration, or an iterator object" is getting to be a PITA. Many months ago I suggested factoring this out into "iterable object", where the definition of that could include being explicit about generators too (as is, I'm not sure a reader outside of PythonLabs could guess that "an iterator object" includes a generator call). - Please check my curly braces -- I'm going blind <0.9 wink>. abstract.c, PySequence_Tuple(): When PyObject_GetIter() fails, leave its error msg alone now (the msg it produces has improved since PySequence_Tuple was generalized to accept iterable objects, and PySequence_Tuple was also stomping on the msg in cases it shouldn't have even before PyObject_GetIter grew a better msg).
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except ValueError:
if badarg == "0":
# It's a sequence, and its elements are also sequences (gotta
# love strings <wink>), but they aren't of length 2, so this
# one seemed better as a ValueError than a TypeError.
pass
else:
raise TestFailed("no TypeError from dict(%r)" % badarg)
else:
raise TestFailed("no TypeError from dict(%r)" % badarg)
try:
dict(senseless={})
except TypeError:
pass
else:
raise TestFailed("no TypeError from dict(senseless={})")
try:
dict({}, {})
except TypeError:
pass
else:
raise TestFailed("no TypeError from dict({}, {})")
class Mapping:
Generalize dictionary() to accept a sequence of 2-sequences. At the outer level, the iterator protocol is used for memory-efficiency (the outer sequence may be very large if fully materialized); at the inner level, PySequence_Fast() is used for time-efficiency (these should always be sequences of length 2). dictobject.c, new functions PyDict_{Merge,Update}FromSeq2. These are wholly analogous to PyDict_{Merge,Update}, but process a sequence-of-2- sequences argument instead of a mapping object. For now, I left these functions file static, so no corresponding doc changes. It's tempting to change dict.update() to allow a sequence-of-2-seqs argument too. Also changed the name of dictionary's keyword argument from "mapping" to "x". Got a better name? "mapping_or_sequence_of_pairs" isn't attractive, although more so than "mosop" <wink>. abstract.h, abstract.tex: Added new PySequence_Fast_GET_SIZE function, much faster than going thru the all-purpose PySequence_Size. libfuncs.tex: - Document dictionary(). - Fiddle tuple() and list() to admit that their argument is optional. - The long-winded repetitions of "a sequence, a container that supports iteration, or an iterator object" is getting to be a PITA. Many months ago I suggested factoring this out into "iterable object", where the definition of that could include being explicit about generators too (as is, I'm not sure a reader outside of PythonLabs could guess that "an iterator object" includes a generator call). - Please check my curly braces -- I'm going blind <0.9 wink>. abstract.c, PySequence_Tuple(): When PyObject_GetIter() fails, leave its error msg alone now (the msg it produces has improved since PySequence_Tuple was generalized to accept iterable objects, and PySequence_Tuple was also stomping on the msg in cases it shouldn't have even before PyObject_GetIter grew a better msg).
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# Lacks a .keys() method; will be added later.
dict = {1:2, 3:4, 'a':1j}
try:
dict(Mapping())
except TypeError:
pass
else:
raise TestFailed("no TypeError from dict(incomplete mapping)")
Mapping.keys = lambda self: self.dict.keys()
Generalize dictionary() to accept a sequence of 2-sequences. At the outer level, the iterator protocol is used for memory-efficiency (the outer sequence may be very large if fully materialized); at the inner level, PySequence_Fast() is used for time-efficiency (these should always be sequences of length 2). dictobject.c, new functions PyDict_{Merge,Update}FromSeq2. These are wholly analogous to PyDict_{Merge,Update}, but process a sequence-of-2- sequences argument instead of a mapping object. For now, I left these functions file static, so no corresponding doc changes. It's tempting to change dict.update() to allow a sequence-of-2-seqs argument too. Also changed the name of dictionary's keyword argument from "mapping" to "x". Got a better name? "mapping_or_sequence_of_pairs" isn't attractive, although more so than "mosop" <wink>. abstract.h, abstract.tex: Added new PySequence_Fast_GET_SIZE function, much faster than going thru the all-purpose PySequence_Size. libfuncs.tex: - Document dictionary(). - Fiddle tuple() and list() to admit that their argument is optional. - The long-winded repetitions of "a sequence, a container that supports iteration, or an iterator object" is getting to be a PITA. Many months ago I suggested factoring this out into "iterable object", where the definition of that could include being explicit about generators too (as is, I'm not sure a reader outside of PythonLabs could guess that "an iterator object" includes a generator call). - Please check my curly braces -- I'm going blind <0.9 wink>. abstract.c, PySequence_Tuple(): When PyObject_GetIter() fails, leave its error msg alone now (the msg it produces has improved since PySequence_Tuple was generalized to accept iterable objects, and PySequence_Tuple was also stomping on the msg in cases it shouldn't have even before PyObject_GetIter grew a better msg).
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Mapping.__getitem__ = lambda self, i: self.dict[i]
d = dict(items=Mapping())
vereq(d, Mapping.dict)
Generalize dictionary() to accept a sequence of 2-sequences. At the outer level, the iterator protocol is used for memory-efficiency (the outer sequence may be very large if fully materialized); at the inner level, PySequence_Fast() is used for time-efficiency (these should always be sequences of length 2). dictobject.c, new functions PyDict_{Merge,Update}FromSeq2. These are wholly analogous to PyDict_{Merge,Update}, but process a sequence-of-2- sequences argument instead of a mapping object. For now, I left these functions file static, so no corresponding doc changes. It's tempting to change dict.update() to allow a sequence-of-2-seqs argument too. Also changed the name of dictionary's keyword argument from "mapping" to "x". Got a better name? "mapping_or_sequence_of_pairs" isn't attractive, although more so than "mosop" <wink>. abstract.h, abstract.tex: Added new PySequence_Fast_GET_SIZE function, much faster than going thru the all-purpose PySequence_Size. libfuncs.tex: - Document dictionary(). - Fiddle tuple() and list() to admit that their argument is optional. - The long-winded repetitions of "a sequence, a container that supports iteration, or an iterator object" is getting to be a PITA. Many months ago I suggested factoring this out into "iterable object", where the definition of that could include being explicit about generators too (as is, I'm not sure a reader outside of PythonLabs could guess that "an iterator object" includes a generator call). - Please check my curly braces -- I'm going blind <0.9 wink>. abstract.c, PySequence_Tuple(): When PyObject_GetIter() fails, leave its error msg alone now (the msg it produces has improved since PySequence_Tuple was generalized to accept iterable objects, and PySequence_Tuple was also stomping on the msg in cases it shouldn't have even before PyObject_GetIter grew a better msg).
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# Init from sequence of iterable objects, each producing a 2-sequence.
class AddressBookEntry:
def __init__(self, first, last):
self.first = first
self.last = last
def __iter__(self):
return iter([self.first, self.last])
d = dict([AddressBookEntry('Tim', 'Warsaw'),
AddressBookEntry('Barry', 'Peters'),
AddressBookEntry('Tim', 'Peters'),
AddressBookEntry('Barry', 'Warsaw')])
Generalize dictionary() to accept a sequence of 2-sequences. At the outer level, the iterator protocol is used for memory-efficiency (the outer sequence may be very large if fully materialized); at the inner level, PySequence_Fast() is used for time-efficiency (these should always be sequences of length 2). dictobject.c, new functions PyDict_{Merge,Update}FromSeq2. These are wholly analogous to PyDict_{Merge,Update}, but process a sequence-of-2- sequences argument instead of a mapping object. For now, I left these functions file static, so no corresponding doc changes. It's tempting to change dict.update() to allow a sequence-of-2-seqs argument too. Also changed the name of dictionary's keyword argument from "mapping" to "x". Got a better name? "mapping_or_sequence_of_pairs" isn't attractive, although more so than "mosop" <wink>. abstract.h, abstract.tex: Added new PySequence_Fast_GET_SIZE function, much faster than going thru the all-purpose PySequence_Size. libfuncs.tex: - Document dictionary(). - Fiddle tuple() and list() to admit that their argument is optional. - The long-winded repetitions of "a sequence, a container that supports iteration, or an iterator object" is getting to be a PITA. Many months ago I suggested factoring this out into "iterable object", where the definition of that could include being explicit about generators too (as is, I'm not sure a reader outside of PythonLabs could guess that "an iterator object" includes a generator call). - Please check my curly braces -- I'm going blind <0.9 wink>. abstract.c, PySequence_Tuple(): When PyObject_GetIter() fails, leave its error msg alone now (the msg it produces has improved since PySequence_Tuple was generalized to accept iterable objects, and PySequence_Tuple was also stomping on the msg in cases it shouldn't have even before PyObject_GetIter grew a better msg).
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vereq(d, {'Barry': 'Warsaw', 'Tim': 'Peters'})
d = dict(zip(range(4), range(1, 5)))
vereq(d, dict([(i, i+1) for i in range(4)]))
Generalize dictionary() to accept a sequence of 2-sequences. At the outer level, the iterator protocol is used for memory-efficiency (the outer sequence may be very large if fully materialized); at the inner level, PySequence_Fast() is used for time-efficiency (these should always be sequences of length 2). dictobject.c, new functions PyDict_{Merge,Update}FromSeq2. These are wholly analogous to PyDict_{Merge,Update}, but process a sequence-of-2- sequences argument instead of a mapping object. For now, I left these functions file static, so no corresponding doc changes. It's tempting to change dict.update() to allow a sequence-of-2-seqs argument too. Also changed the name of dictionary's keyword argument from "mapping" to "x". Got a better name? "mapping_or_sequence_of_pairs" isn't attractive, although more so than "mosop" <wink>. abstract.h, abstract.tex: Added new PySequence_Fast_GET_SIZE function, much faster than going thru the all-purpose PySequence_Size. libfuncs.tex: - Document dictionary(). - Fiddle tuple() and list() to admit that their argument is optional. - The long-winded repetitions of "a sequence, a container that supports iteration, or an iterator object" is getting to be a PITA. Many months ago I suggested factoring this out into "iterable object", where the definition of that could include being explicit about generators too (as is, I'm not sure a reader outside of PythonLabs could guess that "an iterator object" includes a generator call). - Please check my curly braces -- I'm going blind <0.9 wink>. abstract.c, PySequence_Tuple(): When PyObject_GetIter() fails, leave its error msg alone now (the msg it produces has improved since PySequence_Tuple was generalized to accept iterable objects, and PySequence_Tuple was also stomping on the msg in cases it shouldn't have even before PyObject_GetIter grew a better msg).
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# Bad sequence lengths.
for bad in [('tooshort',)], [('too', 'long', 'by 1')]:
Generalize dictionary() to accept a sequence of 2-sequences. At the outer level, the iterator protocol is used for memory-efficiency (the outer sequence may be very large if fully materialized); at the inner level, PySequence_Fast() is used for time-efficiency (these should always be sequences of length 2). dictobject.c, new functions PyDict_{Merge,Update}FromSeq2. These are wholly analogous to PyDict_{Merge,Update}, but process a sequence-of-2- sequences argument instead of a mapping object. For now, I left these functions file static, so no corresponding doc changes. It's tempting to change dict.update() to allow a sequence-of-2-seqs argument too. Also changed the name of dictionary's keyword argument from "mapping" to "x". Got a better name? "mapping_or_sequence_of_pairs" isn't attractive, although more so than "mosop" <wink>. abstract.h, abstract.tex: Added new PySequence_Fast_GET_SIZE function, much faster than going thru the all-purpose PySequence_Size. libfuncs.tex: - Document dictionary(). - Fiddle tuple() and list() to admit that their argument is optional. - The long-winded repetitions of "a sequence, a container that supports iteration, or an iterator object" is getting to be a PITA. Many months ago I suggested factoring this out into "iterable object", where the definition of that could include being explicit about generators too (as is, I'm not sure a reader outside of PythonLabs could guess that "an iterator object" includes a generator call). - Please check my curly braces -- I'm going blind <0.9 wink>. abstract.c, PySequence_Tuple(): When PyObject_GetIter() fails, leave its error msg alone now (the msg it produces has improved since PySequence_Tuple was generalized to accept iterable objects, and PySequence_Tuple was also stomping on the msg in cases it shouldn't have even before PyObject_GetIter grew a better msg).
2001-10-26 02:06:50 -03:00
try:
dict(bad)
Generalize dictionary() to accept a sequence of 2-sequences. At the outer level, the iterator protocol is used for memory-efficiency (the outer sequence may be very large if fully materialized); at the inner level, PySequence_Fast() is used for time-efficiency (these should always be sequences of length 2). dictobject.c, new functions PyDict_{Merge,Update}FromSeq2. These are wholly analogous to PyDict_{Merge,Update}, but process a sequence-of-2- sequences argument instead of a mapping object. For now, I left these functions file static, so no corresponding doc changes. It's tempting to change dict.update() to allow a sequence-of-2-seqs argument too. Also changed the name of dictionary's keyword argument from "mapping" to "x". Got a better name? "mapping_or_sequence_of_pairs" isn't attractive, although more so than "mosop" <wink>. abstract.h, abstract.tex: Added new PySequence_Fast_GET_SIZE function, much faster than going thru the all-purpose PySequence_Size. libfuncs.tex: - Document dictionary(). - Fiddle tuple() and list() to admit that their argument is optional. - The long-winded repetitions of "a sequence, a container that supports iteration, or an iterator object" is getting to be a PITA. Many months ago I suggested factoring this out into "iterable object", where the definition of that could include being explicit about generators too (as is, I'm not sure a reader outside of PythonLabs could guess that "an iterator object" includes a generator call). - Please check my curly braces -- I'm going blind <0.9 wink>. abstract.c, PySequence_Tuple(): When PyObject_GetIter() fails, leave its error msg alone now (the msg it produces has improved since PySequence_Tuple was generalized to accept iterable objects, and PySequence_Tuple was also stomping on the msg in cases it shouldn't have even before PyObject_GetIter grew a better msg).
2001-10-26 02:06:50 -03:00
except ValueError:
pass
else:
raise TestFailed("no ValueError from dict(%r)" % bad)
Generalize dictionary() to accept a sequence of 2-sequences. At the outer level, the iterator protocol is used for memory-efficiency (the outer sequence may be very large if fully materialized); at the inner level, PySequence_Fast() is used for time-efficiency (these should always be sequences of length 2). dictobject.c, new functions PyDict_{Merge,Update}FromSeq2. These are wholly analogous to PyDict_{Merge,Update}, but process a sequence-of-2- sequences argument instead of a mapping object. For now, I left these functions file static, so no corresponding doc changes. It's tempting to change dict.update() to allow a sequence-of-2-seqs argument too. Also changed the name of dictionary's keyword argument from "mapping" to "x". Got a better name? "mapping_or_sequence_of_pairs" isn't attractive, although more so than "mosop" <wink>. abstract.h, abstract.tex: Added new PySequence_Fast_GET_SIZE function, much faster than going thru the all-purpose PySequence_Size. libfuncs.tex: - Document dictionary(). - Fiddle tuple() and list() to admit that their argument is optional. - The long-winded repetitions of "a sequence, a container that supports iteration, or an iterator object" is getting to be a PITA. Many months ago I suggested factoring this out into "iterable object", where the definition of that could include being explicit about generators too (as is, I'm not sure a reader outside of PythonLabs could guess that "an iterator object" includes a generator call). - Please check my curly braces -- I'm going blind <0.9 wink>. abstract.c, PySequence_Tuple(): When PyObject_GetIter() fails, leave its error msg alone now (the msg it produces has improved since PySequence_Tuple was generalized to accept iterable objects, and PySequence_Tuple was also stomping on the msg in cases it shouldn't have even before PyObject_GetIter grew a better msg).
2001-10-26 02:06:50 -03:00
def test_dir():
if verbose:
print "Testing dir() ..."
junk = 12
vereq(dir(), ['junk'])
del junk
# Just make sure these don't blow up!
for arg in 2, 2L, 2j, 2e0, [2], "2", u"2", (2,), {2:2}, type, test_dir:
dir(arg)
# Try classic classes.
class C:
Cdata = 1
def Cmethod(self): pass
cstuff = ['Cdata', 'Cmethod', '__doc__', '__module__']
vereq(dir(C), cstuff)
verify('im_self' in dir(C.Cmethod))
c = C() # c.__doc__ is an odd thing to see here; ditto c.__module__.
vereq(dir(c), cstuff)
c.cdata = 2
c.cmethod = lambda self: 0
vereq(dir(c), cstuff + ['cdata', 'cmethod'])
verify('im_self' in dir(c.Cmethod))
class A(C):
Adata = 1
def Amethod(self): pass
astuff = ['Adata', 'Amethod'] + cstuff
vereq(dir(A), astuff)
verify('im_self' in dir(A.Amethod))
a = A()
vereq(dir(a), astuff)
verify('im_self' in dir(a.Amethod))
a.adata = 42
a.amethod = lambda self: 3
vereq(dir(a), astuff + ['adata', 'amethod'])
# The same, but with new-style classes. Since these have object as a
# base class, a lot more gets sucked in.
def interesting(strings):
return [s for s in strings if not s.startswith('_')]
class C(object):
Cdata = 1
def Cmethod(self): pass
cstuff = ['Cdata', 'Cmethod']
vereq(interesting(dir(C)), cstuff)
c = C()
vereq(interesting(dir(c)), cstuff)
verify('im_self' in dir(C.Cmethod))
c.cdata = 2
c.cmethod = lambda self: 0
vereq(interesting(dir(c)), cstuff + ['cdata', 'cmethod'])
verify('im_self' in dir(c.Cmethod))
class A(C):
Adata = 1
def Amethod(self): pass
astuff = ['Adata', 'Amethod'] + cstuff
vereq(interesting(dir(A)), astuff)
verify('im_self' in dir(A.Amethod))
a = A()
vereq(interesting(dir(a)), astuff)
a.adata = 42
a.amethod = lambda self: 3
vereq(interesting(dir(a)), astuff + ['adata', 'amethod'])
verify('im_self' in dir(a.Amethod))
# Try a module subclass.
import sys
class M(type(sys)):
pass
minstance = M()
minstance.b = 2
minstance.a = 1
vereq(dir(minstance), ['a', 'b'])
class M2(M):
def getdict(self):
return "Not a dict!"
__dict__ = property(getdict)
m2instance = M2()
m2instance.b = 2
m2instance.a = 1
vereq(m2instance.__dict__, "Not a dict!")
try:
dir(m2instance)
except TypeError:
pass
# Two essentially featureless objects, just inheriting stuff from
# object.
vereq(dir(None), dir(Ellipsis))
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binops = {
'add': '+',
'sub': '-',
'mul': '*',
'div': '/',
'mod': '%',
'divmod': 'divmod',
'pow': '**',
'lshift': '<<',
'rshift': '>>',
'and': '&',
'xor': '^',
'or': '|',
'cmp': 'cmp',
'lt': '<',
'le': '<=',
'eq': '==',
'ne': '!=',
'gt': '>',
'ge': '>=',
}
for name, expr in binops.items():
if expr.islower():
expr = expr + "(a, b)"
else:
expr = 'a %s b' % expr
binops[name] = expr
unops = {
'pos': '+',
'neg': '-',
'abs': 'abs',
'invert': '~',
'int': 'int',
'long': 'long',
'float': 'float',
'oct': 'oct',
'hex': 'hex',
}
for name, expr in unops.items():
if expr.islower():
expr = expr + "(a)"
else:
expr = '%s a' % expr
unops[name] = expr
def numops(a, b, skip=[]):
dict = {'a': a, 'b': b}
for name, expr in binops.items():
if name not in skip:
name = "__%s__" % name
if hasattr(a, name):
res = eval(expr, dict)
testbinop(a, b, res, expr, name)
for name, expr in unops.items():
if name not in skip:
name = "__%s__" % name
if hasattr(a, name):
res = eval(expr, dict)
testunop(a, res, expr, name)
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def ints():
if verbose: print "Testing int operations..."
numops(100, 3)
def longs():
if verbose: print "Testing long operations..."
numops(100L, 3L)
def floats():
if verbose: print "Testing float operations..."
numops(100.0, 3.0)
def complexes():
if verbose: print "Testing complex operations..."
numops(100.0j, 3.0j, skip=['lt', 'le', 'gt', 'ge', 'int', 'long', 'float'])
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class Number(complex):
__slots__ = ['prec']
def __new__(cls, *args, **kwds):
result = complex.__new__(cls, *args)
result.prec = kwds.get('prec', 12)
return result
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def __repr__(self):
prec = self.prec
if self.imag == 0.0:
return "%.*g" % (prec, self.real)
if self.real == 0.0:
return "%.*gj" % (prec, self.imag)
return "(%.*g+%.*gj)" % (prec, self.real, prec, self.imag)
__str__ = __repr__
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a = Number(3.14, prec=6)
vereq(`a`, "3.14")
vereq(a.prec, 6)
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a = Number(a, prec=2)
vereq(`a`, "3.1")
vereq(a.prec, 2)
a = Number(234.5)
vereq(`a`, "234.5")
vereq(a.prec, 12)
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def spamlists():
if verbose: print "Testing spamlist operations..."
import copy, xxsubtype as spam
def spamlist(l, memo=None):
import xxsubtype as spam
return spam.spamlist(l)
# This is an ugly hack:
copy._deepcopy_dispatch[spam.spamlist] = spamlist
testbinop(spamlist([1]), spamlist([2]), spamlist([1,2]), "a+b", "__add__")
testbinop(spamlist([1,2,3]), 2, 1, "b in a", "__contains__")
testbinop(spamlist([1,2,3]), 4, 0, "b in a", "__contains__")
testbinop(spamlist([1,2,3]), 1, 2, "a[b]", "__getitem__")
testternop(spamlist([1,2,3]), 0, 2, spamlist([1,2]),
"a[b:c]", "__getslice__")
testsetop(spamlist([1]), spamlist([2]), spamlist([1,2]),
"a+=b", "__iadd__")
testsetop(spamlist([1,2]), 3, spamlist([1,2,1,2,1,2]), "a*=b", "__imul__")
testunop(spamlist([1,2,3]), 3, "len(a)", "__len__")
testbinop(spamlist([1,2]), 3, spamlist([1,2,1,2,1,2]), "a*b", "__mul__")
testbinop(spamlist([1,2]), 3, spamlist([1,2,1,2,1,2]), "b*a", "__rmul__")
testset2op(spamlist([1,2]), 1, 3, spamlist([1,3]), "a[b]=c", "__setitem__")
testset3op(spamlist([1,2,3,4]), 1, 3, spamlist([5,6]),
spamlist([1,5,6,4]), "a[b:c]=d", "__setslice__")
# Test subclassing
class C(spam.spamlist):
def foo(self): return 1
a = C()
vereq(a, [])
vereq(a.foo(), 1)
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a.append(100)
vereq(a, [100])
vereq(a.getstate(), 0)
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a.setstate(42)
vereq(a.getstate(), 42)
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def spamdicts():
if verbose: print "Testing spamdict operations..."
import copy, xxsubtype as spam
def spamdict(d, memo=None):
import xxsubtype as spam
sd = spam.spamdict()
for k, v in d.items(): sd[k] = v
return sd
# This is an ugly hack:
copy._deepcopy_dispatch[spam.spamdict] = spamdict
testbinop(spamdict({1:2}), spamdict({2:1}), -1, "cmp(a,b)", "__cmp__")
testbinop(spamdict({1:2,3:4}), 1, 1, "b in a", "__contains__")
testbinop(spamdict({1:2,3:4}), 2, 0, "b in a", "__contains__")
testbinop(spamdict({1:2,3:4}), 1, 2, "a[b]", "__getitem__")
d = spamdict({1:2,3:4})
l1 = []
for i in d.keys(): l1.append(i)
l = []
for i in iter(d): l.append(i)
vereq(l, l1)
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l = []
for i in d.__iter__(): l.append(i)
vereq(l, l1)
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l = []
for i in type(spamdict({})).__iter__(d): l.append(i)
vereq(l, l1)
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straightd = {1:2, 3:4}
spamd = spamdict(straightd)
testunop(spamd, 2, "len(a)", "__len__")
testunop(spamd, repr(straightd), "repr(a)", "__repr__")
testset2op(spamdict({1:2,3:4}), 2, 3, spamdict({1:2,2:3,3:4}),
"a[b]=c", "__setitem__")
# Test subclassing
class C(spam.spamdict):
def foo(self): return 1
a = C()
vereq(a.items(), [])
vereq(a.foo(), 1)
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a['foo'] = 'bar'
vereq(a.items(), [('foo', 'bar')])
vereq(a.getstate(), 0)
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a.setstate(100)
vereq(a.getstate(), 100)
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def pydicts():
if verbose: print "Testing Python subclass of dict..."
verify(issubclass(dict, dict))
verify(isinstance({}, dict))
d = dict()
vereq(d, {})
verify(d.__class__ is dict)
verify(isinstance(d, dict))
class C(dict):
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state = -1
def __init__(self, *a, **kw):
if a:
assert len(a) == 1
self.state = a[0]
if kw:
for k, v in kw.items(): self[v] = k
def __getitem__(self, key):
return self.get(key, 0)
def __setitem__(self, key, value):
assert isinstance(key, type(0))
dict.__setitem__(self, key, value)
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def setstate(self, state):
self.state = state
def getstate(self):
return self.state
verify(issubclass(C, dict))
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a1 = C(12)
vereq(a1.state, 12)
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a2 = C(foo=1, bar=2)
vereq(a2[1] == 'foo' and a2[2], 'bar')
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a = C()
vereq(a.state, -1)
vereq(a.getstate(), -1)
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a.setstate(0)
vereq(a.state, 0)
vereq(a.getstate(), 0)
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a.setstate(10)
vereq(a.state, 10)
vereq(a.getstate(), 10)
vereq(a[42], 0)
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a[42] = 24
vereq(a[42], 24)
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if verbose: print "pydict stress test ..."
N = 50
for i in range(N):
a[i] = C()
for j in range(N):
a[i][j] = i*j
for i in range(N):
for j in range(N):
vereq(a[i][j], i*j)
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def pylists():
if verbose: print "Testing Python subclass of list..."
class C(list):
def __getitem__(self, i):
return list.__getitem__(self, i) + 100
def __getslice__(self, i, j):
return (i, j)
a = C()
a.extend([0,1,2])
vereq(a[0], 100)
vereq(a[1], 101)
vereq(a[2], 102)
vereq(a[100:200], (100,200))
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def metaclass():
if verbose: print "Testing __metaclass__..."
class C:
__metaclass__ = type
def __init__(self):
self.__state = 0
def getstate(self):
return self.__state
def setstate(self, state):
self.__state = state
a = C()
vereq(a.getstate(), 0)
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a.setstate(10)
vereq(a.getstate(), 10)
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class D:
class __metaclass__(type):
def myself(cls): return cls
vereq(D.myself(), D)
d = D()
verify(d.__class__ is D)
class M1(type):
def __new__(cls, name, bases, dict):
dict['__spam__'] = 1
return type.__new__(cls, name, bases, dict)
class C:
__metaclass__ = M1
vereq(C.__spam__, 1)
c = C()
vereq(c.__spam__, 1)
class _instance(object):
pass
class M2(object):
def __new__(cls, name, bases, dict):
self = object.__new__(cls)
self.name = name
self.bases = bases
self.dict = dict
return self
__new__ = staticmethod(__new__)
def __call__(self):
it = _instance()
# Early binding of methods
for key in self.dict:
if key.startswith("__"):
continue
setattr(it, key, self.dict[key].__get__(it, self))
return it
class C:
__metaclass__ = M2
def spam(self):
return 42
vereq(C.name, 'C')
vereq(C.bases, ())
verify('spam' in C.dict)
c = C()
vereq(c.spam(), 42)
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# More metaclass examples
class autosuper(type):
# Automatically add __super to the class
# This trick only works for dynamic classes
def __new__(metaclass, name, bases, dict):
cls = super(autosuper, metaclass).__new__(metaclass,
name, bases, dict)
# Name mangling for __super removes leading underscores
while name[:1] == "_":
name = name[1:]
if name:
name = "_%s__super" % name
else:
name = "__super"
setattr(cls, name, super(cls))
return cls
class A:
__metaclass__ = autosuper
def meth(self):
return "A"
class B(A):
def meth(self):
return "B" + self.__super.meth()
class C(A):
def meth(self):
return "C" + self.__super.meth()
class D(C, B):
def meth(self):
return "D" + self.__super.meth()
vereq(D().meth(), "DCBA")
class E(B, C):
def meth(self):
return "E" + self.__super.meth()
vereq(E().meth(), "EBCA")
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class autoproperty(type):
# Automatically create property attributes when methods
# named _get_x and/or _set_x are found
def __new__(metaclass, name, bases, dict):
hits = {}
for key, val in dict.iteritems():
if key.startswith("_get_"):
key = key[5:]
get, set = hits.get(key, (None, None))
get = val
hits[key] = get, set
elif key.startswith("_set_"):
key = key[5:]
get, set = hits.get(key, (None, None))
set = val
hits[key] = get, set
for key, (get, set) in hits.iteritems():
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dict[key] = property(get, set)
return super(autoproperty, metaclass).__new__(metaclass,
name, bases, dict)
class A:
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__metaclass__ = autoproperty
def _get_x(self):
return -self.__x
def _set_x(self, x):
self.__x = -x
a = A()
verify(not hasattr(a, "x"))
a.x = 12
vereq(a.x, 12)
vereq(a._A__x, -12)
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class multimetaclass(autoproperty, autosuper):
# Merge of multiple cooperating metaclasses
pass
class A:
__metaclass__ = multimetaclass
def _get_x(self):
return "A"
class B(A):
def _get_x(self):
return "B" + self.__super._get_x()
class C(A):
def _get_x(self):
return "C" + self.__super._get_x()
class D(C, B):
def _get_x(self):
return "D" + self.__super._get_x()
vereq(D().x, "DCBA")
# Make sure type(x) doesn't call x.__class__.__init__
class T(type):
counter = 0
def __init__(self, *args):
T.counter += 1
class C:
__metaclass__ = T
vereq(T.counter, 1)
a = C()
vereq(type(a), C)
vereq(T.counter, 1)
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def pymods():
if verbose: print "Testing Python subclass of module..."
log = []
import sys
MT = type(sys)
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class MM(MT):
def __init__(self):
MT.__init__(self)
def __getattribute__(self, name):
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log.append(("getattr", name))
return MT.__getattribute__(self, name)
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def __setattr__(self, name, value):
log.append(("setattr", name, value))
MT.__setattr__(self, name, value)
def __delattr__(self, name):
log.append(("delattr", name))
MT.__delattr__(self, name)
a = MM()
a.foo = 12
x = a.foo
del a.foo
vereq(log, [("setattr", "foo", 12),
("getattr", "foo"),
("delattr", "foo")])
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def multi():
if verbose: print "Testing multiple inheritance..."
class C(object):
def __init__(self):
self.__state = 0
def getstate(self):
return self.__state
def setstate(self, state):
self.__state = state
a = C()
vereq(a.getstate(), 0)
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a.setstate(10)
vereq(a.getstate(), 10)
class D(dict, C):
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def __init__(self):
type({}).__init__(self)
C.__init__(self)
d = D()
vereq(d.keys(), [])
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d["hello"] = "world"
vereq(d.items(), [("hello", "world")])
vereq(d["hello"], "world")
vereq(d.getstate(), 0)
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d.setstate(10)
vereq(d.getstate(), 10)
vereq(D.__mro__, (D, dict, C, object))
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# SF bug #442833
class Node(object):
def __int__(self):
return int(self.foo())
def foo(self):
return "23"
class Frag(Node, list):
def foo(self):
return "42"
vereq(Node().__int__(), 23)
vereq(int(Node()), 23)
vereq(Frag().__int__(), 42)
vereq(int(Frag()), 42)
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def diamond():
if verbose: print "Testing multiple inheritance special cases..."
class A(object):
def spam(self): return "A"
vereq(A().spam(), "A")
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class B(A):
def boo(self): return "B"
def spam(self): return "B"
vereq(B().spam(), "B")
vereq(B().boo(), "B")
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class C(A):
def boo(self): return "C"
vereq(C().spam(), "A")
vereq(C().boo(), "C")
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class D(B, C): pass
vereq(D().spam(), "B")
vereq(D().boo(), "B")
vereq(D.__mro__, (D, B, C, A, object))
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class E(C, B): pass
vereq(E().spam(), "B")
vereq(E().boo(), "C")
vereq(E.__mro__, (E, C, B, A, object))
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class F(D, E): pass
vereq(F().spam(), "B")
vereq(F().boo(), "B")
vereq(F.__mro__, (F, D, E, B, C, A, object))
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class G(E, D): pass
vereq(G().spam(), "B")
vereq(G().boo(), "C")
vereq(G.__mro__, (G, E, D, C, B, A, object))
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def objects():
if verbose: print "Testing object class..."
a = object()
vereq(a.__class__, object)
vereq(type(a), object)
b = object()
verify(a is not b)
verify(not hasattr(a, "foo"))
try:
a.foo = 12
except (AttributeError, TypeError):
pass
else:
verify(0, "object() should not allow setting a foo attribute")
verify(not hasattr(object(), "__dict__"))
class Cdict(object):
pass
x = Cdict()
vereq(x.__dict__, {})
x.foo = 1
vereq(x.foo, 1)
vereq(x.__dict__, {'foo': 1})
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def slots():
if verbose: print "Testing __slots__..."
class C0(object):
__slots__ = []
x = C0()
verify(not hasattr(x, "__dict__"))
verify(not hasattr(x, "foo"))
class C1(object):
__slots__ = ['a']
x = C1()
verify(not hasattr(x, "__dict__"))
vereq(x.a, None)
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x.a = 1
vereq(x.a, 1)
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del x.a
vereq(x.a, None)
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class C3(object):
__slots__ = ['a', 'b', 'c']
x = C3()
verify(not hasattr(x, "__dict__"))
verify(x.a is None)
verify(x.b is None)
verify(x.c is None)
x.a = 1
x.b = 2
x.c = 3
vereq(x.a, 1)
vereq(x.b, 2)
vereq(x.c, 3)
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def dynamics():
if verbose: print "Testing class attribute propagation..."
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class D(object):
pass
class E(D):
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pass
class F(D):
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pass
D.foo = 1
vereq(D.foo, 1)
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# Test that dynamic attributes are inherited
vereq(E.foo, 1)
vereq(F.foo, 1)
# Test dynamic instances
class C(object):
pass
a = C()
verify(not hasattr(a, "foobar"))
C.foobar = 2
vereq(a.foobar, 2)
C.method = lambda self: 42
vereq(a.method(), 42)
C.__repr__ = lambda self: "C()"
vereq(repr(a), "C()")
C.__int__ = lambda self: 100
vereq(int(a), 100)
vereq(a.foobar, 2)
verify(not hasattr(a, "spam"))
def mygetattr(self, name):
if name == "spam":
return "spam"
raise AttributeError
C.__getattr__ = mygetattr
vereq(a.spam, "spam")
a.new = 12
vereq(a.new, 12)
def mysetattr(self, name, value):
if name == "spam":
raise AttributeError
return object.__setattr__(self, name, value)
C.__setattr__ = mysetattr
try:
a.spam = "not spam"
except AttributeError:
pass
else:
verify(0, "expected AttributeError")
vereq(a.spam, "spam")
class D(C):
pass
d = D()
d.foo = 1
vereq(d.foo, 1)
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# Test handling of int*seq and seq*int
class I(int):
pass
vereq("a"*I(2), "aa")
vereq(I(2)*"a", "aa")
vereq(2*I(3), 6)
vereq(I(3)*2, 6)
vereq(I(3)*I(2), 6)
# Test handling of long*seq and seq*long
class L(long):
pass
vereq("a"*L(2L), "aa")
vereq(L(2L)*"a", "aa")
vereq(2*L(3), 6)
vereq(L(3)*2, 6)
vereq(L(3)*L(2), 6)
# Test comparison of classes with dynamic metaclasses
class dynamicmetaclass(type):
pass
class someclass:
__metaclass__ = dynamicmetaclass
verify(someclass != object)
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def errors():
if verbose: print "Testing errors..."
try:
class C(list, dict):
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pass
except TypeError:
pass
else:
verify(0, "inheritance from both list and dict should be illegal")
try:
class C(object, None):
pass
except TypeError:
pass
else:
verify(0, "inheritance from non-type should be illegal")
class Classic:
pass
try:
class C(object, Classic):
pass
except TypeError:
pass
else:
verify(0, "inheritance from object and Classic should be illegal")
try:
class C(type(len)):
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pass
except TypeError:
pass
else:
verify(0, "inheritance from CFunction should be illegal")
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try:
class C(object):
__slots__ = 1
except TypeError:
pass
else:
verify(0, "__slots__ = 1 should be illegal")
try:
class C(object):
__slots__ = [1]
except TypeError:
pass
else:
verify(0, "__slots__ = [1] should be illegal")
def classmethods():
if verbose: print "Testing class methods..."
class C(object):
def foo(*a): return a
goo = classmethod(foo)
c = C()
vereq(C.goo(1), (C, 1))
vereq(c.goo(1), (C, 1))
vereq(c.foo(1), (c, 1))
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class D(C):
pass
d = D()
vereq(D.goo(1), (D, 1))
vereq(d.goo(1), (D, 1))
vereq(d.foo(1), (d, 1))
vereq(D.foo(d, 1), (d, 1))
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def staticmethods():
if verbose: print "Testing static methods..."
class C(object):
def foo(*a): return a
goo = staticmethod(foo)
c = C()
vereq(C.goo(1), (1,))
vereq(c.goo(1), (1,))
vereq(c.foo(1), (c, 1,))
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class D(C):
pass
d = D()
vereq(D.goo(1), (1,))
vereq(d.goo(1), (1,))
vereq(d.foo(1), (d, 1))
vereq(D.foo(d, 1), (d, 1))
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def classic():
if verbose: print "Testing classic classes..."
class C:
def foo(*a): return a
goo = classmethod(foo)
c = C()
vereq(C.goo(1), (C, 1))
vereq(c.goo(1), (C, 1))
vereq(c.foo(1), (c, 1))
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class D(C):
pass
d = D()
vereq(D.goo(1), (D, 1))
vereq(d.goo(1), (D, 1))
vereq(d.foo(1), (d, 1))
vereq(D.foo(d, 1), (d, 1))
class E: # *not* subclassing from C
foo = C.foo
vereq(E().foo, C.foo) # i.e., unbound
verify(repr(C.foo.__get__(C())).startswith("<bound method "))
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def compattr():
if verbose: print "Testing computed attributes..."
class C(object):
class computed_attribute(object):
def __init__(self, get, set=None):
self.__get = get
self.__set = set
def __get__(self, obj, type=None):
return self.__get(obj)
def __set__(self, obj, value):
return self.__set(obj, value)
def __init__(self):
self.__x = 0
def __get_x(self):
x = self.__x
self.__x = x+1
return x
def __set_x(self, x):
self.__x = x
x = computed_attribute(__get_x, __set_x)
a = C()
vereq(a.x, 0)
vereq(a.x, 1)
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a.x = 10
vereq(a.x, 10)
vereq(a.x, 11)
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def newslot():
if verbose: print "Testing __new__ slot override..."
class C(list):
def __new__(cls):
self = list.__new__(cls)
self.foo = 1
return self
def __init__(self):
self.foo = self.foo + 2
a = C()
vereq(a.foo, 3)
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verify(a.__class__ is C)
class D(C):
pass
b = D()
vereq(b.foo, 3)
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verify(b.__class__ is D)
def altmro():
if verbose: print "Testing mro() and overriding it..."
class A(object):
def f(self): return "A"
class B(A):
pass
class C(A):
def f(self): return "C"
class D(B, C):
pass
vereq(D.mro(), [D, B, C, A, object])
vereq(D.__mro__, (D, B, C, A, object))
vereq(D().f(), "C")
class PerverseMetaType(type):
def mro(cls):
L = type.mro(cls)
L.reverse()
return L
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class X(A,B,C,D):
__metaclass__ = PerverseMetaType
vereq(X.__mro__, (object, A, C, B, D, X))
vereq(X().f(), "A")
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def overloading():
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if verbose: print "Testing operator overloading..."
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class B(object):
"Intermediate class because object doesn't have a __setattr__"
class C(B):
def __getattr__(self, name):
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if name == "foo":
return ("getattr", name)
else:
raise AttributeError
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def __setattr__(self, name, value):
if name == "foo":
self.setattr = (name, value)
else:
return B.__setattr__(self, name, value)
def __delattr__(self, name):
if name == "foo":
self.delattr = name
else:
return B.__delattr__(self, name)
def __getitem__(self, key):
return ("getitem", key)
def __setitem__(self, key, value):
self.setitem = (key, value)
def __delitem__(self, key):
self.delitem = key
def __getslice__(self, i, j):
return ("getslice", i, j)
def __setslice__(self, i, j, value):
self.setslice = (i, j, value)
def __delslice__(self, i, j):
self.delslice = (i, j)
a = C()
vereq(a.foo, ("getattr", "foo"))
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a.foo = 12
vereq(a.setattr, ("foo", 12))
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del a.foo
vereq(a.delattr, "foo")
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vereq(a[12], ("getitem", 12))
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a[12] = 21
vereq(a.setitem, (12, 21))
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del a[12]
vereq(a.delitem, 12)
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vereq(a[0:10], ("getslice", 0, 10))
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a[0:10] = "foo"
vereq(a.setslice, (0, 10, "foo"))
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del a[0:10]
vereq(a.delslice, (0, 10))
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def methods():
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if verbose: print "Testing methods..."
class C(object):
def __init__(self, x):
self.x = x
def foo(self):
return self.x
c1 = C(1)
vereq(c1.foo(), 1)
class D(C):
boo = C.foo
goo = c1.foo
d2 = D(2)
vereq(d2.foo(), 2)
vereq(d2.boo(), 2)
vereq(d2.goo(), 1)
class E(object):
foo = C.foo
vereq(E().foo, C.foo) # i.e., unbound
verify(repr(C.foo.__get__(C(1))).startswith("<bound method "))
def specials():
# Test operators like __hash__ for which a built-in default exists
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if verbose: print "Testing special operators..."
# Test the default behavior for static classes
class C(object):
def __getitem__(self, i):
if 0 <= i < 10: return i
raise IndexError
c1 = C()
c2 = C()
verify(not not c1)
vereq(hash(c1), id(c1))
vereq(cmp(c1, c2), cmp(id(c1), id(c2)))
vereq(c1, c1)
verify(c1 != c2)
verify(not c1 != c1)
verify(not c1 == c2)
# Note that the module name appears in str/repr, and that varies
# depending on whether this test is run standalone or from a framework.
verify(str(c1).find('C object at ') >= 0)
vereq(str(c1), repr(c1))
verify(-1 not in c1)
for i in range(10):
verify(i in c1)
verify(10 not in c1)
# Test the default behavior for dynamic classes
class D(object):
def __getitem__(self, i):
if 0 <= i < 10: return i
raise IndexError
d1 = D()
d2 = D()
verify(not not d1)
vereq(hash(d1), id(d1))
vereq(cmp(d1, d2), cmp(id(d1), id(d2)))
vereq(d1, d1)
verify(d1 != d2)
verify(not d1 != d1)
verify(not d1 == d2)
# Note that the module name appears in str/repr, and that varies
# depending on whether this test is run standalone or from a framework.
verify(str(d1).find('D object at ') >= 0)
vereq(str(d1), repr(d1))
verify(-1 not in d1)
for i in range(10):
verify(i in d1)
verify(10 not in d1)
# Test overridden behavior for static classes
class Proxy(object):
def __init__(self, x):
self.x = x
def __nonzero__(self):
return not not self.x
def __hash__(self):
return hash(self.x)
def __eq__(self, other):
return self.x == other
def __ne__(self, other):
return self.x != other
def __cmp__(self, other):
return cmp(self.x, other.x)
def __str__(self):
return "Proxy:%s" % self.x
def __repr__(self):
return "Proxy(%r)" % self.x
def __contains__(self, value):
return value in self.x
p0 = Proxy(0)
p1 = Proxy(1)
p_1 = Proxy(-1)
verify(not p0)
verify(not not p1)
vereq(hash(p0), hash(0))
vereq(p0, p0)
verify(p0 != p1)
verify(not p0 != p0)
vereq(not p0, p1)
vereq(cmp(p0, p1), -1)
vereq(cmp(p0, p0), 0)
vereq(cmp(p0, p_1), 1)
vereq(str(p0), "Proxy:0")
vereq(repr(p0), "Proxy(0)")
p10 = Proxy(range(10))
verify(-1 not in p10)
for i in range(10):
verify(i in p10)
verify(10 not in p10)
# Test overridden behavior for dynamic classes
class DProxy(object):
def __init__(self, x):
self.x = x
def __nonzero__(self):
return not not self.x
def __hash__(self):
return hash(self.x)
def __eq__(self, other):
return self.x == other
def __ne__(self, other):
return self.x != other
def __cmp__(self, other):
return cmp(self.x, other.x)
def __str__(self):
return "DProxy:%s" % self.x
def __repr__(self):
return "DProxy(%r)" % self.x
def __contains__(self, value):
return value in self.x
p0 = DProxy(0)
p1 = DProxy(1)
p_1 = DProxy(-1)
verify(not p0)
verify(not not p1)
vereq(hash(p0), hash(0))
vereq(p0, p0)
verify(p0 != p1)
verify(not p0 != p0)
vereq(not p0, p1)
vereq(cmp(p0, p1), -1)
vereq(cmp(p0, p0), 0)
vereq(cmp(p0, p_1), 1)
vereq(str(p0), "DProxy:0")
vereq(repr(p0), "DProxy(0)")
p10 = DProxy(range(10))
verify(-1 not in p10)
for i in range(10):
verify(i in p10)
verify(10 not in p10)
# Safety test for __cmp__
def unsafecmp(a, b):
try:
a.__class__.__cmp__(a, b)
except TypeError:
pass
else:
raise TestFailed, "shouldn't allow %s.__cmp__(%r, %r)" % (
a.__class__, a, b)
unsafecmp(u"123", "123")
unsafecmp("123", u"123")
unsafecmp(1, 1.0)
unsafecmp(1.0, 1)
unsafecmp(1, 1L)
unsafecmp(1L, 1)
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def weakrefs():
if verbose: print "Testing weak references..."
import weakref
class C(object):
pass
c = C()
r = weakref.ref(c)
verify(r() is c)
del c
verify(r() is None)
del r
class NoWeak(object):
__slots__ = ['foo']
no = NoWeak()
try:
weakref.ref(no)
except TypeError, msg:
verify(str(msg).find("weak reference") >= 0)
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else:
verify(0, "weakref.ref(no) should be illegal")
class Weak(object):
__slots__ = ['foo', '__weakref__']
yes = Weak()
r = weakref.ref(yes)
verify(r() is yes)
del yes
verify(r() is None)
del r
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def properties():
if verbose: print "Testing property..."
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class C(object):
def getx(self):
return self.__x
def setx(self, value):
self.__x = value
def delx(self):
del self.__x
x = property(getx, setx, delx, doc="I'm the x property.")
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a = C()
verify(not hasattr(a, "x"))
a.x = 42
vereq(a._C__x, 42)
vereq(a.x, 42)
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del a.x
verify(not hasattr(a, "x"))
verify(not hasattr(a, "_C__x"))
C.x.__set__(a, 100)
vereq(C.x.__get__(a), 100)
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## C.x.__set__(a)
## verify(not hasattr(a, "x"))
raw = C.__dict__['x']
verify(isinstance(raw, property))
attrs = dir(raw)
verify("__doc__" in attrs)
verify("fget" in attrs)
verify("fset" in attrs)
verify("fdel" in attrs)
vereq(raw.__doc__, "I'm the x property.")
verify(raw.fget is C.__dict__['getx'])
verify(raw.fset is C.__dict__['setx'])
verify(raw.fdel is C.__dict__['delx'])
for attr in "__doc__", "fget", "fset", "fdel":
try:
setattr(raw, attr, 42)
except TypeError, msg:
if str(msg).find('readonly') < 0:
raise TestFailed("when setting readonly attr %r on a "
"property, got unexpected TypeError "
"msg %r" % (attr, str(msg)))
else:
raise TestFailed("expected TypeError from trying to set "
"readonly %r attr on a property" % attr)
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def supers():
if verbose: print "Testing super..."
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class A(object):
def meth(self, a):
return "A(%r)" % a
vereq(A().meth(1), "A(1)")
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class B(A):
def __init__(self):
self.__super = super(B, self)
def meth(self, a):
return "B(%r)" % a + self.__super.meth(a)
vereq(B().meth(2), "B(2)A(2)")
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class C(A):
def meth(self, a):
return "C(%r)" % a + self.__super.meth(a)
C._C__super = super(C)
vereq(C().meth(3), "C(3)A(3)")
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class D(C, B):
def meth(self, a):
return "D(%r)" % a + super(D, self).meth(a)
verify (D().meth(4) == "D(4)C(4)B(4)A(4)")
def inherits():
if verbose: print "Testing inheritance from basic types..."
class hexint(int):
def __repr__(self):
return hex(self)
def __add__(self, other):
return hexint(int.__add__(self, other))
# (Note that overriding __radd__ doesn't work,
# because the int type gets first dibs.)
vereq(repr(hexint(7) + 9), "0x10")
vereq(repr(hexint(1000) + 7), "0x3ef")
a = hexint(12345)
vereq(a, 12345)
vereq(int(a), 12345)
verify(int(a).__class__ is int)
vereq(hash(a), hash(12345))
verify((+a).__class__ is int)
verify((a >> 0).__class__ is int)
verify((a << 0).__class__ is int)
verify((hexint(0) << 12).__class__ is int)
verify((hexint(0) >> 12).__class__ is int)
class octlong(long):
__slots__ = []
def __str__(self):
s = oct(self)
if s[-1] == 'L':
s = s[:-1]
return s
def __add__(self, other):
return self.__class__(super(octlong, self).__add__(other))
__radd__ = __add__
vereq(str(octlong(3) + 5), "010")
# (Note that overriding __radd__ here only seems to work
# because the example uses a short int left argument.)
vereq(str(5 + octlong(3000)), "05675")
a = octlong(12345)
vereq(a, 12345L)
vereq(long(a), 12345L)
vereq(hash(a), hash(12345L))
verify(long(a).__class__ is long)
verify((+a).__class__ is long)
verify((-a).__class__ is long)
verify((-octlong(0)).__class__ is long)
verify((a >> 0).__class__ is long)
verify((a << 0).__class__ is long)
verify((a - 0).__class__ is long)
verify((a * 1).__class__ is long)
verify((a ** 1).__class__ is long)
verify((a // 1).__class__ is long)
verify((1 * a).__class__ is long)
verify((a | 0).__class__ is long)
verify((a ^ 0).__class__ is long)
verify((a & -1L).__class__ is long)
verify((octlong(0) << 12).__class__ is long)
verify((octlong(0) >> 12).__class__ is long)
verify(abs(octlong(0)).__class__ is long)
# Because octlong overrides __add__, we can't check the absence of +0
# optimizations using octlong.
class longclone(long):
pass
a = longclone(1)
verify((a + 0).__class__ is long)
verify((0 + a).__class__ is long)
class precfloat(float):
__slots__ = ['prec']
def __init__(self, value=0.0, prec=12):
self.prec = int(prec)
float.__init__(value)
def __repr__(self):
return "%.*g" % (self.prec, self)
vereq(repr(precfloat(1.1)), "1.1")
a = precfloat(12345)
vereq(a, 12345.0)
vereq(float(a), 12345.0)
verify(float(a).__class__ is float)
vereq(hash(a), hash(12345.0))
verify((+a).__class__ is float)
class madcomplex(complex):
def __repr__(self):
return "%.17gj%+.17g" % (self.imag, self.real)
a = madcomplex(-3, 4)
vereq(repr(a), "4j-3")
base = complex(-3, 4)
veris(base.__class__, complex)
vereq(a, base)
vereq(complex(a), base)
veris(complex(a).__class__, complex)
a = madcomplex(a) # just trying another form of the constructor
vereq(repr(a), "4j-3")
vereq(a, base)
vereq(complex(a), base)
veris(complex(a).__class__, complex)
vereq(hash(a), hash(base))
veris((+a).__class__, complex)
veris((a + 0).__class__, complex)
vereq(a + 0, base)
veris((a - 0).__class__, complex)
vereq(a - 0, base)
veris((a * 1).__class__, complex)
vereq(a * 1, base)
veris((a / 1).__class__, complex)
vereq(a / 1, base)
class madtuple(tuple):
_rev = None
def rev(self):
if self._rev is not None:
return self._rev
L = list(self)
L.reverse()
self._rev = self.__class__(L)
return self._rev
a = madtuple((1,2,3,4,5,6,7,8,9,0))
vereq(a, (1,2,3,4,5,6,7,8,9,0))
vereq(a.rev(), madtuple((0,9,8,7,6,5,4,3,2,1)))
vereq(a.rev().rev(), madtuple((1,2,3,4,5,6,7,8,9,0)))
for i in range(512):
t = madtuple(range(i))
u = t.rev()
v = u.rev()
vereq(v, t)
a = madtuple((1,2,3,4,5))
vereq(tuple(a), (1,2,3,4,5))
verify(tuple(a).__class__ is tuple)
vereq(hash(a), hash((1,2,3,4,5)))
verify(a[:].__class__ is tuple)
verify((a * 1).__class__ is tuple)
verify((a * 0).__class__ is tuple)
verify((a + ()).__class__ is tuple)
a = madtuple(())
vereq(tuple(a), ())
verify(tuple(a).__class__ is tuple)
verify((a + a).__class__ is tuple)
verify((a * 0).__class__ is tuple)
verify((a * 1).__class__ is tuple)
verify((a * 2).__class__ is tuple)
verify(a[:].__class__ is tuple)
class madstring(str):
_rev = None
def rev(self):
if self._rev is not None:
return self._rev
L = list(self)
L.reverse()
self._rev = self.__class__("".join(L))
return self._rev
s = madstring("abcdefghijklmnopqrstuvwxyz")
vereq(s, "abcdefghijklmnopqrstuvwxyz")
vereq(s.rev(), madstring("zyxwvutsrqponmlkjihgfedcba"))
vereq(s.rev().rev(), madstring("abcdefghijklmnopqrstuvwxyz"))
for i in range(256):
s = madstring("".join(map(chr, range(i))))
t = s.rev()
u = t.rev()
vereq(u, s)
s = madstring("12345")
vereq(str(s), "12345")
verify(str(s).__class__ is str)
base = "\x00" * 5
s = madstring(base)
vereq(s, base)
vereq(str(s), base)
verify(str(s).__class__ is str)
vereq(hash(s), hash(base))
vereq({s: 1}[base], 1)
vereq({base: 1}[s], 1)
verify((s + "").__class__ is str)
vereq(s + "", base)
verify(("" + s).__class__ is str)
vereq("" + s, base)
verify((s * 0).__class__ is str)
vereq(s * 0, "")
verify((s * 1).__class__ is str)
vereq(s * 1, base)
verify((s * 2).__class__ is str)
vereq(s * 2, base + base)
verify(s[:].__class__ is str)
vereq(s[:], base)
verify(s[0:0].__class__ is str)
vereq(s[0:0], "")
verify(s.strip().__class__ is str)
vereq(s.strip(), base)
verify(s.lstrip().__class__ is str)
vereq(s.lstrip(), base)
verify(s.rstrip().__class__ is str)
vereq(s.rstrip(), base)
identitytab = ''.join([chr(i) for i in range(256)])
verify(s.translate(identitytab).__class__ is str)
vereq(s.translate(identitytab), base)
verify(s.translate(identitytab, "x").__class__ is str)
vereq(s.translate(identitytab, "x"), base)
vereq(s.translate(identitytab, "\x00"), "")
verify(s.replace("x", "x").__class__ is str)
vereq(s.replace("x", "x"), base)
verify(s.ljust(len(s)).__class__ is str)
vereq(s.ljust(len(s)), base)
verify(s.rjust(len(s)).__class__ is str)
vereq(s.rjust(len(s)), base)
verify(s.center(len(s)).__class__ is str)
vereq(s.center(len(s)), base)
verify(s.lower().__class__ is str)
vereq(s.lower(), base)
s = madstring("x y")
vereq(s, "x y")
verify(intern(s).__class__ is str)
verify(intern(s) is intern("x y"))
vereq(intern(s), "x y")
i = intern("y x")
s = madstring("y x")
vereq(s, i)
verify(intern(s).__class__ is str)
verify(intern(s) is i)
s = madstring(i)
verify(intern(s).__class__ is str)
verify(intern(s) is i)
class madunicode(unicode):
_rev = None
def rev(self):
if self._rev is not None:
return self._rev
L = list(self)
L.reverse()
self._rev = self.__class__(u"".join(L))
return self._rev
u = madunicode("ABCDEF")
vereq(u, u"ABCDEF")
vereq(u.rev(), madunicode(u"FEDCBA"))
vereq(u.rev().rev(), madunicode(u"ABCDEF"))
base = u"12345"
u = madunicode(base)
vereq(unicode(u), base)
verify(unicode(u).__class__ is unicode)
vereq(hash(u), hash(base))
vereq({u: 1}[base], 1)
vereq({base: 1}[u], 1)
verify(u.strip().__class__ is unicode)
vereq(u.strip(), base)
verify(u.lstrip().__class__ is unicode)
vereq(u.lstrip(), base)
verify(u.rstrip().__class__ is unicode)
vereq(u.rstrip(), base)
verify(u.replace(u"x", u"x").__class__ is unicode)
vereq(u.replace(u"x", u"x"), base)
verify(u.replace(u"xy", u"xy").__class__ is unicode)
vereq(u.replace(u"xy", u"xy"), base)
verify(u.center(len(u)).__class__ is unicode)
vereq(u.center(len(u)), base)
verify(u.ljust(len(u)).__class__ is unicode)
vereq(u.ljust(len(u)), base)
verify(u.rjust(len(u)).__class__ is unicode)
vereq(u.rjust(len(u)), base)
verify(u.lower().__class__ is unicode)
vereq(u.lower(), base)
verify(u.upper().__class__ is unicode)
vereq(u.upper(), base)
verify(u.capitalize().__class__ is unicode)
vereq(u.capitalize(), base)
verify(u.title().__class__ is unicode)
vereq(u.title(), base)
verify((u + u"").__class__ is unicode)
vereq(u + u"", base)
verify((u"" + u).__class__ is unicode)
vereq(u"" + u, base)
verify((u * 0).__class__ is unicode)
vereq(u * 0, u"")
verify((u * 1).__class__ is unicode)
vereq(u * 1, base)
verify((u * 2).__class__ is unicode)
vereq(u * 2, base + base)
verify(u[:].__class__ is unicode)
vereq(u[:], base)
verify(u[0:0].__class__ is unicode)
vereq(u[0:0], u"")
class sublist(list):
pass
a = sublist(range(5))
vereq(a, range(5))
a.append("hello")
vereq(a, range(5) + ["hello"])
a[5] = 5
vereq(a, range(6))
a.extend(range(6, 20))
vereq(a, range(20))
a[-5:] = []
vereq(a, range(15))
del a[10:15]
vereq(len(a), 10)
vereq(a, range(10))
vereq(list(a), range(10))
vereq(a[0], 0)
vereq(a[9], 9)
vereq(a[-10], 0)
vereq(a[-1], 9)
vereq(a[:5], range(5))
class CountedInput(file):
"""Counts lines read by self.readline().
self.lineno is the 0-based ordinal of the last line read, up to
a maximum of one greater than the number of lines in the file.
self.ateof is true if and only if the final "" line has been read,
at which point self.lineno stops incrementing, and further calls
to readline() continue to return "".
"""
lineno = 0
ateof = 0
def readline(self):
if self.ateof:
return ""
s = file.readline(self)
# Next line works too.
# s = super(CountedInput, self).readline()
self.lineno += 1
if s == "":
self.ateof = 1
return s
f = file(name=TESTFN, mode='w')
lines = ['a\n', 'b\n', 'c\n']
try:
f.writelines(lines)
f.close()
f = CountedInput(TESTFN)
for (i, expected) in zip(range(1, 5) + [4], lines + 2 * [""]):
got = f.readline()
vereq(expected, got)
vereq(f.lineno, i)
vereq(f.ateof, (i > len(lines)))
f.close()
finally:
try:
f.close()
except:
pass
try:
import os
os.unlink(TESTFN)
except:
pass
def keywords():
if verbose:
print "Testing keyword args to basic type constructors ..."
vereq(int(x=1), 1)
vereq(float(x=2), 2.0)
vereq(long(x=3), 3L)
vereq(complex(imag=42, real=666), complex(666, 42))
vereq(str(object=500), '500')
vereq(unicode(string='abc', errors='strict'), u'abc')
vereq(tuple(sequence=range(3)), (0, 1, 2))
vereq(list(sequence=(0, 1, 2)), range(3))
vereq(dict(items={1: 2}), {1: 2})
for constructor in (int, float, long, complex, str, unicode,
tuple, list, dict, file):
try:
constructor(bogus_keyword_arg=1)
except TypeError:
pass
else:
raise TestFailed("expected TypeError from bogus keyword "
"argument to %r" % constructor)
def restricted():
import rexec
if verbose:
print "Testing interaction with restricted execution ..."
sandbox = rexec.RExec()
code1 = """f = open(%r, 'w')""" % TESTFN
code2 = """f = file(%r, 'w')""" % TESTFN
code3 = """\
f = open(%r)
t = type(f) # a sneaky way to get the file() constructor
f.close()
f = t(%r, 'w') # rexec can't catch this by itself
""" % (TESTFN, TESTFN)
f = open(TESTFN, 'w') # Create the file so code3 can find it.
f.close()
try:
for code in code1, code2, code3:
try:
sandbox.r_exec(code)
except IOError, msg:
if str(msg).find("restricted") >= 0:
outcome = "OK"
else:
outcome = "got an exception, but not an expected one"
else:
outcome = "expected a restricted-execution exception"
if outcome != "OK":
raise TestFailed("%s, in %r" % (outcome, code))
finally:
try:
import os
os.unlink(TESTFN)
except:
pass
def str_subclass_as_dict_key():
if verbose:
print "Testing a str subclass used as dict key .."
class cistr(str):
"""Sublcass of str that computes __eq__ case-insensitively.
Also computes a hash code of the string in canonical form.
"""
def __init__(self, value):
self.canonical = value.lower()
self.hashcode = hash(self.canonical)
def __eq__(self, other):
if not isinstance(other, cistr):
other = cistr(other)
return self.canonical == other.canonical
def __hash__(self):
return self.hashcode
vereq(cistr('ABC'), 'abc')
vereq('aBc', cistr('ABC'))
vereq(str(cistr('ABC')), 'ABC')
d = {cistr('one'): 1, cistr('two'): 2, cistr('tHree'): 3}
vereq(d[cistr('one')], 1)
vereq(d[cistr('tWo')], 2)
vereq(d[cistr('THrEE')], 3)
verify(cistr('ONe') in d)
vereq(d.get(cistr('thrEE')), 3)
def classic_comparisons():
if verbose: print "Testing classic comparisons..."
class classic:
pass
for base in (classic, int, object):
if verbose: print " (base = %s)" % base
class C(base):
def __init__(self, value):
self.value = int(value)
def __cmp__(self, other):
if isinstance(other, C):
return cmp(self.value, other.value)
if isinstance(other, int) or isinstance(other, long):
return cmp(self.value, other)
return NotImplemented
c1 = C(1)
c2 = C(2)
c3 = C(3)
vereq(c1, 1)
c = {1: c1, 2: c2, 3: c3}
for x in 1, 2, 3:
for y in 1, 2, 3:
verify(cmp(c[x], c[y]) == cmp(x, y), "x=%d, y=%d" % (x, y))
for op in "<", "<=", "==", "!=", ">", ">=":
verify(eval("c[x] %s c[y]" % op) == eval("x %s y" % op),
"x=%d, y=%d" % (x, y))
verify(cmp(c[x], y) == cmp(x, y), "x=%d, y=%d" % (x, y))
verify(cmp(x, c[y]) == cmp(x, y), "x=%d, y=%d" % (x, y))
def rich_comparisons():
if verbose:
print "Testing rich comparisons..."
class Z(complex):
pass
z = Z(1)
vereq(z, 1+0j)
vereq(1+0j, z)
class ZZ(complex):
def __eq__(self, other):
try:
return abs(self - other) <= 1e-6
except:
return NotImplemented
zz = ZZ(1.0000003)
vereq(zz, 1+0j)
vereq(1+0j, zz)
class classic:
pass
for base in (classic, int, object, list):
if verbose: print " (base = %s)" % base
class C(base):
def __init__(self, value):
self.value = int(value)
def __cmp__(self, other):
raise TestFailed, "shouldn't call __cmp__"
def __eq__(self, other):
if isinstance(other, C):
return self.value == other.value
if isinstance(other, int) or isinstance(other, long):
return self.value == other
return NotImplemented
def __ne__(self, other):
if isinstance(other, C):
return self.value != other.value
if isinstance(other, int) or isinstance(other, long):
return self.value != other
return NotImplemented
def __lt__(self, other):
if isinstance(other, C):
return self.value < other.value
if isinstance(other, int) or isinstance(other, long):
return self.value < other
return NotImplemented
def __le__(self, other):
if isinstance(other, C):
return self.value <= other.value
if isinstance(other, int) or isinstance(other, long):
return self.value <= other
return NotImplemented
def __gt__(self, other):
if isinstance(other, C):
return self.value > other.value
if isinstance(other, int) or isinstance(other, long):
return self.value > other
return NotImplemented
def __ge__(self, other):
if isinstance(other, C):
return self.value >= other.value
if isinstance(other, int) or isinstance(other, long):
return self.value >= other
return NotImplemented
c1 = C(1)
c2 = C(2)
c3 = C(3)
vereq(c1, 1)
c = {1: c1, 2: c2, 3: c3}
for x in 1, 2, 3:
for y in 1, 2, 3:
for op in "<", "<=", "==", "!=", ">", ">=":
verify(eval("c[x] %s c[y]" % op) == eval("x %s y" % op),
"x=%d, y=%d" % (x, y))
verify(eval("c[x] %s y" % op) == eval("x %s y" % op),
"x=%d, y=%d" % (x, y))
verify(eval("x %s c[y]" % op) == eval("x %s y" % op),
"x=%d, y=%d" % (x, y))
def coercions():
if verbose: print "Testing coercions..."
class I(int): pass
coerce(I(0), 0)
coerce(0, I(0))
class L(long): pass
coerce(L(0), 0)
coerce(L(0), 0L)
coerce(0, L(0))
coerce(0L, L(0))
class F(float): pass
coerce(F(0), 0)
coerce(F(0), 0L)
coerce(F(0), 0.)
coerce(0, F(0))
coerce(0L, F(0))
coerce(0., F(0))
class C(complex): pass
coerce(C(0), 0)
coerce(C(0), 0L)
coerce(C(0), 0.)
coerce(C(0), 0j)
coerce(0, C(0))
coerce(0L, C(0))
coerce(0., C(0))
coerce(0j, C(0))
def descrdoc():
if verbose: print "Testing descriptor doc strings..."
def check(descr, what):
vereq(descr.__doc__, what)
check(file.closed, "flag set if the file is closed") # getset descriptor
check(file.name, "file name") # member descriptor
def setclass():
if verbose: print "Testing __class__ assignment..."
class C(object): pass
class D(object): pass
class E(object): pass
class F(D, E): pass
for cls in C, D, E, F:
for cls2 in C, D, E, F:
x = cls()
x.__class__ = cls2
verify(x.__class__ is cls2)
x.__class__ = cls
verify(x.__class__ is cls)
def cant(x, C):
try:
x.__class__ = C
except TypeError:
pass
else:
raise TestFailed, "shouldn't allow %r.__class__ = %r" % (x, C)
cant(C(), list)
cant(list(), C)
cant(C(), 1)
cant(C(), object)
cant(object(), list)
cant(list(), object)
def setdict():
if verbose: print "Testing __dict__ assignment..."
class C(object): pass
a = C()
a.__dict__ = {'b': 1}
vereq(a.b, 1)
def cant(x, dict):
try:
x.__dict__ = dict
except TypeError:
pass
else:
raise TestFailed, "shouldn't allow %r.__dict__ = %r" % (x, dict)
cant(a, None)
cant(a, [])
cant(a, 1)
try:
del a.__dict__
except TypeError:
pass
else:
raise TestFailed, "shouldn't allow del %r.__dict__" % (a)
# Classes don't allow __dict__ assignment
cant(C, {})
def pickles():
if verbose:
print "Testing pickling and copying new-style classes and objects..."
import pickle, cPickle
def sorteditems(d):
L = d.items()
L.sort()
return L
global C
class C(object):
def __init__(self, a, b):
super(C, self).__init__()
self.a = a
self.b = b
def __repr__(self):
return "C(%r, %r)" % (self.a, self.b)
global C1
class C1(list):
def __new__(cls, a, b):
return super(C1, cls).__new__(cls)
def __init__(self, a, b):
self.a = a
self.b = b
def __repr__(self):
return "C1(%r, %r)<%r>" % (self.a, self.b, list(self))
global C2
class C2(int):
def __new__(cls, a, b, val=0):
return super(C2, cls).__new__(cls, val)
def __init__(self, a, b, val=0):
self.a = a
self.b = b
def __repr__(self):
return "C2(%r, %r)<%r>" % (self.a, self.b, int(self))
for p in pickle, cPickle:
for bin in 0, 1:
if verbose:
print p.__name__, ["text", "binary"][bin]
for cls in C, C1, C2:
s = p.dumps(cls, bin)
cls2 = p.loads(s)
verify(cls2 is cls)
a = C1(1, 2); a.append(42); a.append(24)
b = C2("hello", "world", 42)
s = p.dumps((a, b), bin)
x, y = p.loads(s)
assert x.__class__ == a.__class__
assert sorteditems(x.__dict__) == sorteditems(a.__dict__)
assert y.__class__ == b.__class__
assert sorteditems(y.__dict__) == sorteditems(b.__dict__)
assert `x` == `a`
assert `y` == `b`
if verbose:
print "a = x =", a
print "b = y =", b
# Testing copy.deepcopy()
if verbose:
print "deepcopy"
import copy
for cls in C, C1, C2:
cls2 = copy.deepcopy(cls)
verify(cls2 is cls)
a = C1(1, 2); a.append(42); a.append(24)
b = C2("hello", "world", 42)
x, y = copy.deepcopy((a, b))
assert x.__class__ == a.__class__
assert sorteditems(x.__dict__) == sorteditems(a.__dict__)
assert y.__class__ == b.__class__
assert sorteditems(y.__dict__) == sorteditems(b.__dict__)
assert `x` == `a`
assert `y` == `b`
if verbose:
print "a = x =", a
print "b = y =", b
def copies():
if verbose: print "Testing copy.copy() and copy.deepcopy()..."
import copy
class C(object):
pass
a = C()
a.foo = 12
b = copy.copy(a)
vereq(b.__dict__, a.__dict__)
a.bar = [1,2,3]
c = copy.copy(a)
vereq(c.bar, a.bar)
verify(c.bar is a.bar)
d = copy.deepcopy(a)
vereq(d.__dict__, a.__dict__)
a.bar.append(4)
vereq(d.bar, [1,2,3])
def binopoverride():
if verbose: print "Testing overrides of binary operations..."
class I(int):
def __repr__(self):
return "I(%r)" % int(self)
def __add__(self, other):
return I(int(self) + int(other))
__radd__ = __add__
def __pow__(self, other, mod=None):
if mod is None:
return I(pow(int(self), int(other)))
else:
return I(pow(int(self), int(other), int(mod)))
def __rpow__(self, other, mod=None):
if mod is None:
return I(pow(int(other), int(self), mod))
else:
return I(pow(int(other), int(self), int(mod)))
vereq(`I(1) + I(2)`, "I(3)")
vereq(`I(1) + 2`, "I(3)")
vereq(`1 + I(2)`, "I(3)")
vereq(`I(2) ** I(3)`, "I(8)")
vereq(`2 ** I(3)`, "I(8)")
vereq(`I(2) ** 3`, "I(8)")
vereq(`pow(I(2), I(3), I(5))`, "I(3)")
class S(str):
def __eq__(self, other):
return self.lower() == other.lower()
def subclasspropagation():
if verbose: print "Testing propagation of slot functions to subclasses..."
class A(object):
pass
class B(A):
pass
class C(A):
pass
class D(B, C):
pass
d = D()
vereq(hash(d), id(d))
A.__hash__ = lambda self: 42
vereq(hash(d), 42)
C.__hash__ = lambda self: 314
vereq(hash(d), 314)
B.__hash__ = lambda self: 144
vereq(hash(d), 144)
D.__hash__ = lambda self: 100
vereq(hash(d), 100)
del D.__hash__
vereq(hash(d), 144)
del B.__hash__
vereq(hash(d), 314)
del C.__hash__
vereq(hash(d), 42)
del A.__hash__
vereq(hash(d), id(d))
d.foo = 42
d.bar = 42
vereq(d.foo, 42)
vereq(d.bar, 42)
def __getattribute__(self, name):
if name == "foo":
return 24
return object.__getattribute__(self, name)
A.__getattribute__ = __getattribute__
vereq(d.foo, 24)
vereq(d.bar, 42)
def __getattr__(self, name):
if name in ("spam", "foo", "bar"):
return "hello"
raise AttributeError, name
B.__getattr__ = __getattr__
vereq(d.spam, "hello")
vereq(d.foo, 24)
vereq(d.bar, 42)
del A.__getattribute__
vereq(d.foo, 42)
del d.foo
vereq(d.foo, "hello")
vereq(d.bar, 42)
del B.__getattr__
try:
d.foo
except AttributeError:
pass
else:
raise TestFailed, "d.foo should be undefined now"
def buffer_inherit():
import binascii
# SF bug [#470040] ParseTuple t# vs subclasses.
if verbose:
print "Testing that buffer interface is inherited ..."
class MyStr(str):
pass
base = 'abc'
m = MyStr(base)
# b2a_hex uses the buffer interface to get its argument's value, via
# PyArg_ParseTuple 't#' code.
vereq(binascii.b2a_hex(m), binascii.b2a_hex(base))
# It's not clear that unicode will continue to support the character
# buffer interface, and this test will fail if that's taken away.
class MyUni(unicode):
pass
base = u'abc'
m = MyUni(base)
vereq(binascii.b2a_hex(m), binascii.b2a_hex(base))
class MyInt(int):
pass
m = MyInt(42)
try:
binascii.b2a_hex(m)
raise TestFailed('subclass of int should not have a buffer interface')
except TypeError:
pass
def str_of_str_subclass():
import binascii
import cStringIO
if verbose:
print "Testing __str__ defined in subclass of str ..."
class octetstring(str):
def __str__(self):
return binascii.b2a_hex(self)
def __repr__(self):
return self + " repr"
o = octetstring('A')
vereq(type(o), octetstring)
vereq(type(str(o)), str)
vereq(type(repr(o)), str)
vereq(ord(o), 0x41)
vereq(str(o), '41')
vereq(repr(o), 'A repr')
vereq(o.__str__(), '41')
vereq(o.__repr__(), 'A repr')
capture = cStringIO.StringIO()
# Calling str() or not exercises different internal paths.
print >> capture, o
print >> capture, str(o)
vereq(capture.getvalue(), '41\n41\n')
capture.close()
def kwdargs():
if verbose: print "Testing keyword arguments to __init__, __call__..."
def f(a): return a
vereq(f.__call__(a=42), 42)
a = []
list.__init__(a, sequence=[0, 1, 2])
Generalize dictionary() to accept a sequence of 2-sequences. At the outer level, the iterator protocol is used for memory-efficiency (the outer sequence may be very large if fully materialized); at the inner level, PySequence_Fast() is used for time-efficiency (these should always be sequences of length 2). dictobject.c, new functions PyDict_{Merge,Update}FromSeq2. These are wholly analogous to PyDict_{Merge,Update}, but process a sequence-of-2- sequences argument instead of a mapping object. For now, I left these functions file static, so no corresponding doc changes. It's tempting to change dict.update() to allow a sequence-of-2-seqs argument too. Also changed the name of dictionary's keyword argument from "mapping" to "x". Got a better name? "mapping_or_sequence_of_pairs" isn't attractive, although more so than "mosop" <wink>. abstract.h, abstract.tex: Added new PySequence_Fast_GET_SIZE function, much faster than going thru the all-purpose PySequence_Size. libfuncs.tex: - Document dictionary(). - Fiddle tuple() and list() to admit that their argument is optional. - The long-winded repetitions of "a sequence, a container that supports iteration, or an iterator object" is getting to be a PITA. Many months ago I suggested factoring this out into "iterable object", where the definition of that could include being explicit about generators too (as is, I'm not sure a reader outside of PythonLabs could guess that "an iterator object" includes a generator call). - Please check my curly braces -- I'm going blind <0.9 wink>. abstract.c, PySequence_Tuple(): When PyObject_GetIter() fails, leave its error msg alone now (the msg it produces has improved since PySequence_Tuple was generalized to accept iterable objects, and PySequence_Tuple was also stomping on the msg in cases it shouldn't have even before PyObject_GetIter grew a better msg).
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vereq(a, [0, 1, 2])
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def delhook():
if verbose: print "Testing __del__ hook..."
log = []
class C(object):
def __del__(self):
log.append(1)
c = C()
vereq(log, [])
del c
vereq(log, [1])
def test_main():
class_docstrings()
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lists()
dicts()
dict_constructor()
test_dir()
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ints()
longs()
floats()
complexes()
spamlists()
spamdicts()
pydicts()
pylists()
metaclass()
pymods()
multi()
diamond()
objects()
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slots()
dynamics()
errors()
classmethods()
staticmethods()
classic()
compattr()
newslot()
altmro()
overloading()
methods()
specials()
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weakrefs()
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properties()
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supers()
inherits()
keywords()
restricted()
str_subclass_as_dict_key()
classic_comparisons()
rich_comparisons()
coercions()
descrdoc()
setclass()
setdict()
pickles()
copies()
binopoverride()
subclasspropagation()
buffer_inherit()
str_of_str_subclass()
kwdargs()
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delhook()
if verbose: print "All OK"
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if __name__ == "__main__":
test_main()