298 lines
7.7 KiB
Python
Executable File
298 lines
7.7 KiB
Python
Executable File
# persist.py
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#
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# Implement limited persistence.
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#
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# Simple interface:
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# persist.save() save __main__ module on file (overwrite)
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# persist.load() load __main__ module from file (merge)
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#
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# These use the filename persist.defaultfile, initialized to 'wsrestore.py'.
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#
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# A raw interface also exists:
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# persist.writedict(dict, fp) save dictionary to open file
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# persist.readdict(dict, fp) read (merge) dictionary from open file
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#
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# Internally, the function dump() and a whole bunch of support of functions
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# traverse a graph of objects and print them in a restorable form
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# (which happens to be a Python module).
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#
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# XXX Limitations:
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# - Volatile objects are dumped as strings:
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# - open files, windows etc.
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# - Other 'obscure' objects are dumped as strings:
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# - classes, instances and methods
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# - compiled regular expressions
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# - anything else reasonably obscure (e.g., capabilities)
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# - type objects for obscure objects
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# - It's slow when there are many of lists or dictionaries
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# (This could be fixed if there were a quick way to compute a hash
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# function of any object, even if recursive)
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defaultfile = 'wsrestore.py'
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def save():
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import __main__
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import posix
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# XXX On SYSV, if len(defaultfile) >= 14, this is wrong!
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backup = defaultfile + '~'
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try:
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posix.unlink(backup)
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except posix.error:
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pass
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try:
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posix.rename(defaultfile, backup)
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except posix.error:
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pass
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fp = open(defaultfile, 'w')
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writedict(__main__.__dict__, fp)
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fp.close()
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def load():
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import __main__
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fp = open(defaultfile, 'r')
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readdict(__main__.__dict__, fp)
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def writedict(dict, fp):
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import sys
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savestdout = sys.stdout
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try:
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sys.stdout = fp
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dump(dict) # Writes to sys.stdout
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finally:
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sys.stdout = savestdout
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def readdict(dict, fp):
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contents = fp.read() # Or: util.readopenfile(fp)
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globals = {}
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exec(contents, globals)
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top = globals['top']
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for key in top.keys():
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if dict.has_key(key):
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print 'warning:', key, 'not overwritten'
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else:
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dict[key] = top[key]
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# Function dump(x) prints (on sys.stdout!) a sequence of Python statements
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# that, when executed in an empty environment, will reconstruct the
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# contents of an arbitrary dictionary.
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import sys
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# Name used for objects dict on output.
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#
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FUNNYNAME = FN = 'A'
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# Top-level function. Call with the object you want to dump.
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#
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def dump(x):
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types = {}
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stack = [] # Used by test for recursive objects
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print FN, '= {}'
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topuid = dumpobject(x, types, stack)
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print 'top =', FN, '[', `topuid`, ']'
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# Generic function to dump any object.
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#
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dumpswitch = {}
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#
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def dumpobject(x, types, stack):
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typerepr = `type(x)`
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if not types.has_key(typerepr):
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types[typerepr] = {}
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typedict = types[typerepr]
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if dumpswitch.has_key(typerepr):
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return dumpswitch[typerepr](x, typedict, types, stack)
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else:
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return dumpbadvalue(x, typedict, types, stack)
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# Generic function to dump unknown values.
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# This assumes that the Python interpreter prints such values as
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# <foo object at xxxxxxxx>.
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# The object will be read back as a string: '<foo object at xxxxxxxx>'.
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# In some cases it may be possible to fix the dump manually;
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# to ease the editing, these cases are labeled with an XXX comment.
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#
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def dumpbadvalue(x, typedict, types, stack):
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xrepr = `x`
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if typedict.has_key(xrepr):
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return typedict[xrepr]
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uid = genuid()
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typedict[xrepr] = uid
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print FN, '[', `uid`, '] =', `xrepr`, '# XXX'
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return uid
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# Generic function to dump pure, simple values, except strings
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#
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def dumpvalue(x, typedict, types, stack):
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xrepr = `x`
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if typedict.has_key(xrepr):
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return typedict[xrepr]
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uid = genuid()
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typedict[xrepr] = uid
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print FN, '[', `uid`, '] =', `x`
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return uid
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# Functions to dump string objects
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#
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def dumpstring(x, typedict, types, stack):
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# XXX This can break if strings have embedded '\0' bytes
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# XXX because of a bug in the dictionary module
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if typedict.has_key(x):
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return typedict[x]
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uid = genuid()
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typedict[x] = uid
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print FN, '[', `uid`, '] =', `x`
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return uid
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# Function to dump type objects
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#
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typeswitch = {}
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class some_class():
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def method(self): pass
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some_instance = some_class()
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#
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def dumptype(x, typedict, types, stack):
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xrepr = `x`
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if typedict.has_key(xrepr):
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return typedict[xrepr]
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uid = genuid()
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typedict[xrepr] = uid
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if typeswitch.has_key(xrepr):
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print FN, '[', `uid`, '] =', typeswitch[xrepr]
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elif x = type(sys):
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print 'import sys'
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print FN, '[', `uid`, '] = type(sys)'
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elif x = type(sys.stderr):
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print 'import sys'
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print FN, '[', `uid`, '] = type(sys.stderr)'
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elif x = type(dumptype):
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print 'def some_function(): pass'
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print FN, '[', `uid`, '] = type(some_function)'
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elif x = type(some_class):
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print 'class some_class(): pass'
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print FN, '[', `uid`, '] = type(some_class)'
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elif x = type(some_instance):
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print 'class another_class(): pass'
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print 'some_instance = another_class()'
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print FN, '[', `uid`, '] = type(some_instance)'
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elif x = type(some_instance.method):
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print 'class yet_another_class():'
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print ' def method(): pass'
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print 'another_instance = yet_another_class()'
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print FN, '[', `uid`, '] = type(another_instance.method)'
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else:
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# Unknown type
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print FN, '[', `uid`, '] =', `xrepr`, '# XXX'
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return uid
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# Initialize the typeswitch
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#
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for x in None, 0, 0.0, '', (), [], {}:
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typeswitch[`type(x)`] = 'type(' + `x` + ')'
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for s in 'type(0)', 'abs', '[].append':
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typeswitch[`type(eval(s))`] = 'type(' + s + ')'
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# Dump a tuple object
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#
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def dumptuple(x, typedict, types, stack):
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item_uids = []
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xrepr = ''
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for item in x:
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item_uid = dumpobject(item, types, stack)
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item_uids.append(item_uid)
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xrepr = xrepr + ' ' + item_uid
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del stack[-1:]
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if typedict.has_key(xrepr):
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return typedict[xrepr]
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uid = genuid()
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typedict[xrepr] = uid
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print FN, '[', `uid`, '] = (',
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for item_uid in item_uids:
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print FN, '[', `item_uid`, '],',
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print ')'
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return uid
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# Dump a list object
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#
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def dumplist(x, typedict, types, stack):
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# Check for recursion
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for x1, uid1 in stack:
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if x is x1: return uid1
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# Check for occurrence elsewhere in the typedict
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for uid1 in typedict.keys():
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if x is typedict[uid1]: return uid1
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# This uses typedict differently!
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uid = genuid()
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typedict[uid] = x
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print FN, '[', `uid`, '] = []'
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stack.append(x, uid)
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item_uids = []
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for item in x:
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item_uid = dumpobject(item, types, stack)
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item_uids.append(item_uid)
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del stack[-1:]
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for item_uid in item_uids:
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print FN, '[', `uid`, '].append(', FN, '[', `item_uid`, '])'
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return uid
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# Dump a dictionary object
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#
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def dumpdict(x, typedict, types, stack):
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# Check for recursion
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for x1, uid1 in stack:
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if x is x1: return uid1
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# Check for occurrence elsewhere in the typedict
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for uid1 in typedict.keys():
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if x is typedict[uid1]: return uid1
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# This uses typedict differently!
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uid = genuid()
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typedict[uid] = x
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print FN, '[', `uid`, '] = {}'
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stack.append(x, uid)
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item_uids = []
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for key in x.keys():
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val_uid = dumpobject(x[key], types, stack)
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item_uids.append(key, val_uid)
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del stack[-1:]
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for key, val_uid in item_uids:
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print FN, '[', `uid`, '][', `key`, '] =',
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print FN, '[', `val_uid`, ']'
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return uid
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# Dump a module object
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#
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def dumpmodule(x, typedict, types, stack):
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xrepr = `x`
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if typedict.has_key(xrepr):
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return typedict[xrepr]
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from string import split
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# `x` has the form <module 'foo'>
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name = xrepr[9:-2]
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uid = genuid()
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typedict[xrepr] = uid
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print 'import', name
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print FN, '[', `uid`, '] =', name
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return uid
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# Initialize dumpswitch, a table of functions to dump various objects,
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# indexed by `type(x)`.
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#
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for x in None, 0, 0.0:
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dumpswitch[`type(x)`] = dumpvalue
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for x, f in ('', dumpstring), (type(0), dumptype), ((), dumptuple), \
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([], dumplist), ({}, dumpdict), (sys, dumpmodule):
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dumpswitch[`type(x)`] = f
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# Generate the next unique id; a string consisting of digits.
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# The seed is stored as seed[0].
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#
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seed = [0]
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#
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def genuid():
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x = seed[0]
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seed[0] = seed[0] + 1
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return `x`
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