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04f357cffe
imports e.g. test_support must do so using an absolute package name such as "import test.test_support" or "from test import test_support". This also updates the README in Lib/test, and gets rid of the duplicate data dirctory in Lib/test/data (replaced by Lib/email/test/data). Now Tim and Jack can have at it. :)
109 lines
2.9 KiB
Python
109 lines
2.9 KiB
Python
from test.test_support import verbose, verify
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import sys
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import new
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class Eggs:
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def get_yolks(self):
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return self.yolks
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print 'new.module()'
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m = new.module('Spam')
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if verbose:
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print m
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m.Eggs = Eggs
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sys.modules['Spam'] = m
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import Spam
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def get_more_yolks(self):
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return self.yolks + 3
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print 'new.classobj()'
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C = new.classobj('Spam', (Spam.Eggs,), {'get_more_yolks': get_more_yolks})
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if verbose:
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print C
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print 'new.instance()'
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c = new.instance(C, {'yolks': 3})
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if verbose:
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print c
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o = new.instance(C)
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verify(o.__dict__ == {},
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"new __dict__ should be empty")
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del o
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o = new.instance(C, None)
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verify(o.__dict__ == {},
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"new __dict__ should be empty")
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del o
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def break_yolks(self):
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self.yolks = self.yolks - 2
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print 'new.instancemethod()'
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im = new.instancemethod(break_yolks, c, C)
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if verbose:
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print im
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verify(c.get_yolks() == 3 and c.get_more_yolks() == 6,
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'Broken call of hand-crafted class instance')
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im()
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verify(c.get_yolks() == 1 and c.get_more_yolks() == 4,
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'Broken call of hand-crafted instance method')
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# It's unclear what the semantics should be for a code object compiled at
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# module scope, but bound and run in a function. In CPython, `c' is global
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# (by accident?) while in Jython, `c' is local. The intent of the test
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# clearly is to make `c' global, so let's be explicit about it.
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codestr = '''
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global c
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a = 1
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b = 2
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c = a + b
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'''
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ccode = compile(codestr, '<string>', 'exec')
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# Jython doesn't have a __builtins__, so use a portable alternative
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import __builtin__
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g = {'c': 0, '__builtins__': __builtin__}
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# this test could be more robust
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print 'new.function()'
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func = new.function(ccode, g)
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if verbose:
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print func
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func()
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verify(g['c'] == 3,
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'Could not create a proper function object')
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# test the various extended flavors of function.new
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def f(x):
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def g(y):
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return x + y
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return g
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g = f(4)
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new.function(f.func_code, {}, "blah")
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g2 = new.function(g.func_code, {}, "blah", (2,), g.func_closure)
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verify(g2() == 6)
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g3 = new.function(g.func_code, {}, "blah", None, g.func_closure)
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verify(g3(5) == 9)
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def test_closure(func, closure, exc):
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try:
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new.function(func.func_code, {}, "", None, closure)
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except exc:
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pass
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else:
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print "corrupt closure accepted"
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test_closure(g, None, TypeError) # invalid closure
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test_closure(g, (1,), TypeError) # non-cell in closure
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test_closure(g, (1, 1), ValueError) # closure is wrong size
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test_closure(f, g.func_closure, ValueError) # no closure needed
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print 'new.code()'
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# bogus test of new.code()
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# Note: Jython will never have new.code()
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if hasattr(new, 'code'):
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d = new.code(3, 3, 3, 3, codestr, (), (), (),
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"<string>", "<name>", 1, "", (), ())
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# test backwards-compatibility version with no freevars or cellvars
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d = new.code(3, 3, 3, 3, codestr, (), (), (),
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"<string>", "<name>", 1, "")
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if verbose:
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print d
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