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-rw-r--r--Lib/pickletools.py1794
-rw-r--r--Lib/test/test_pickletools.py3
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diff --git a/Lib/pickletools.py b/Lib/pickletools.py
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+""""Executable documentation" for the pickle module.
+
+Extensive comments about the pickle protocols and pickle-machine opcodes
+can be found here. Some functions meant for external use:
+
+genops(pickle)
+ Generate all the opcodes in a pickle, as (opcode, arg, position) triples.
+
+dis(pickle, out=None, indentlevel=4)
+ Print a symbolic disassembly of a pickle.
+"""
+
+# Other ideas:
+#
+# - A pickle verifier: read a pickle and check it exhaustively for
+# well-formedness.
+#
+# - A protocol identifier: examine a pickle and return its protocol number
+# (== the highest .proto attr value among all the opcodes in the pickle).
+#
+# - A pickle optimizer: for example, tuple-building code is sometimes more
+# elaborate than necessary, catering for the possibility that the tuple
+# is recursive. Or lots of times a PUT is generated that's never accessed
+# by a later GET.
+
+
+"""
+"A pickle" is a program for a virtual pickle machine (PM, but more accurately
+called an unpickling machine). It's a sequence of opcodes, interpreted by the
+PM, building an arbitrarily complex Python object.
+
+For the most part, the PM is very simple: there are no looping, testing, or
+conditional instructions, no arithmetic and no function calls. Opcodes are
+executed once each, from first to last, until a STOP opcode is reached.
+
+The PM has two data areas, "the stack" and "the memo".
+
+Many opcodes push Python objects onto the stack; e.g., INT pushes a Python
+integer object on the stack, whose value is gotten from a decimal string
+literal immediately following the INT opcode in the pickle bytestream. Other
+opcodes take Python objects off the stack. The result of unpickling is
+whatever object is left on the stack when the final STOP opcode is executed.
+
+The memo is simply an array of objects, or it can be implemented as a dict
+mapping little integers to objects. The memo serves as the PM's "long term
+memory", and the little integers indexing the memo are akin to variable
+names. Some opcodes pop a stack object into the memo at a given index,
+and others push a memo object at a given index onto the stack again.
+
+At heart, that's all the PM has. Subtleties arise for these reasons:
+
++ Object identity. Objects can be arbitrarily complex, and subobjects
+ may be shared (for example, the list [a, a] refers to the same object a
+ twice). It can be vital that unpickling recreate an isomorphic object
+ graph, faithfully reproducing sharing.
+
++ Recursive objects. For example, after "L = []; L.append(L)", L is a
+ list, and L[0] is the same list. This is related to the object identity
+ point, and some sequences of pickle opcodes are subtle in order to
+ get the right result in all cases.
+
++ Things pickle doesn't know everything about. Examples of things pickle
+ does know everything about are Python's builtin scalar and container
+ types, like ints and tuples. They generally have opcodes dedicated to
+ them. For things like module references and instances of user-defined
+ classes, pickle's knowledge is limited. Historically, many enhancements
+ have been made to the pickle protocol in order to do a better (faster,
+ and/or more compact) job on those.
+
++ Backward compatibility and micro-optimization. As explained below,
+ pickle opcodes never go away, not even when better ways to do a thing
+ get invented. The repertoire of the PM just keeps growing over time.
+ So, e.g., there are now six distinct opcodes for building a Python integer,
+ five of them devoted to "short" integers. Even so, the only way to pickle
+ a Python long int takes time quadratic in the number of digits, for both
+ pickling and unpickling. This isn't so much a subtlety as a source of
+ wearying complication.
+
+
+Pickle protocols:
+
+For compatibility, the meaning of a pickle opcode never changes. Instead new
+pickle opcodes get added, and each version's unpickler can handle all the
+pickle opcodes in all protocol versions to date. So old pickles continue to
+be readable forever. The pickler can generally be told to restrict itself to
+the subset of opcodes available under previous protocol versions too, so that
+users can create pickles under the current version readable by older
+versions. However, a pickle does not contain its version number embedded
+within it. If an older unpickler tries to read a pickle using a later
+protocol, the result is most likely an exception due to seeing an unknown (in
+the older unpickler) opcode.
+
+The original pickle used what's now called "protocol 0", and what was called
+"text mode" before Python 2.3. The entire pickle bytestream is made up of
+printable 7-bit ASCII characters, plus the newline character, in protocol 0.
+That's why it was called text mode.
+
+The second major set of additions is now called "protocol 1", and was called
+"binary mode" before Python 2.3. This added many opcodes with arguments
+consisting of arbitrary bytes, including NUL bytes and unprintable "high bit"
+bytes. Binary mode pickles can be substantially smaller than equivalent
+text mode pickles, and sometimes faster too; e.g., BININT represents a 4-byte
+int as 4 bytes following the opcode, which is cheaper to unpickle than the
+(perhaps) 11-character decimal string attached to INT.
+
+The third major set of additions came in Python 2.3, and is called "protocol
+2". XXX Write a short blurb when Guido figures out what they are <wink>. XXX
+"""
+
+# Meta-rule: Descriptions are stored in instances of descriptor objects,
+# with plain constructors. No meta-language is defined from which
+# descriptors could be constructed. If you want, e.g., XML, write a little
+# program to generate XML from the objects.
+
+##############################################################################
+# Some pickle opcodes have an argument, following the opcode in the
+# bytestream. An argument is of a specific type, described by an instance
+# of ArgumentDescriptor. These are not to be confused with arguments taken
+# off the stack -- ArgumentDescriptor applies only to arguments embedded in
+# the opcode stream, immediately following an opcode.
+
+# Represents the number of bytes consumed by an argument delimited by the
+# next newline character.
+UP_TO_NEWLINE = -1
+
+# Represents the number of bytes consumed by a two-argument opcode where
+# the first argument gives the number of bytes in the second argument.
+TAKEN_FROM_ARGUMENT = -2
+
+class ArgumentDescriptor(object):
+ __slots__ = (
+ # name of descriptor record, also a module global name; a string
+ 'name',
+
+ # length of argument, in bytes; an int; UP_TO_NEWLINE and
+ # TAKEN_FROM_ARGUMENT are negative values for variable-length cases
+ 'n',
+
+ # a function taking a file-like object, reading this kind of argument
+ # from the object at the current position, advancing the current
+ # position by n bytes, and returning the value of the argument
+ 'reader',
+
+ # human-readable docs for this arg descriptor; a string
+ 'doc',
+ )
+
+ def __init__(self, name, n, reader, doc):
+ assert isinstance(name, str)
+ self.name = name
+
+ assert isinstance(n, int) and (n >= 0 or
+ n is UP_TO_NEWLINE or
+ n is TAKEN_FROM_ARGUMENT)
+ self.n = n
+
+ self.reader = reader
+
+ assert isinstance(doc, str)
+ self.doc = doc
+
+from struct import unpack as _unpack
+
+def read_uint1(f):
+ """
+ >>> import StringIO
+ >>> read_uint1(StringIO.StringIO('\\xff'))
+ 255
+ """
+
+ data = f.read(1)
+ if data:
+ return ord(data)
+ raise ValueError("not enough data in stream to read uint1")
+
+uint1 = ArgumentDescriptor(
+ name='uint1',
+ n=1,
+ reader=read_uint1,
+ doc="One-byte unsigned integer.")
+
+
+def read_uint2(f):
+ """
+ >>> import StringIO
+ >>> read_uint2(StringIO.StringIO('\\xff\\x00'))
+ 255
+ >>> read_uint2(StringIO.StringIO('\\xff\\xff'))
+ 65535
+ """
+
+ data = f.read(2)
+ if len(data) == 2:
+ return _unpack("<H", data)[0]
+ raise ValueError("not enough data in stream to read uint2")
+
+uint2 = ArgumentDescriptor(
+ name='uint2',
+ n=2,
+ reader=read_uint2,
+ doc="Two-byte unsigned integer, little-endian.")
+
+
+def read_int4(f):
+ """
+ >>> import StringIO
+ >>> read_int4(StringIO.StringIO('\\xff\\x00\\x00\\x00'))
+ 255
+ >>> read_int4(StringIO.StringIO('\\x00\\x00\\x00\\x80')) == -(2**31)
+ True
+ """
+
+ data = f.read(4)
+ if len(data) == 4:
+ return _unpack("<i", data)[0]
+ raise ValueError("not enough data in stream to read int4")
+
+int4 = ArgumentDescriptor(
+ name='int4',
+ n=4,
+ reader=read_int4,
+ doc="Four-byte signed integer, little-endian, 2's complement.")
+
+
+def read_stringnl(f, decode=True, stripquotes=True):
+ """
+ >>> import StringIO
+ >>> read_stringnl(StringIO.StringIO("'abcd'\\nefg\\n"))
+ 'abcd'
+
+ >>> read_stringnl(StringIO.StringIO("\\n"))
+ Traceback (most recent call last):
+ ...
+ ValueError: no string quotes around ''
+
+ >>> read_stringnl(StringIO.StringIO("\\n"), stripquotes=False)
+ ''
+
+ >>> read_stringnl(StringIO.StringIO("''\\n"))
+ ''
+
+ >>> read_stringnl(StringIO.StringIO('"abcd"'))
+ Traceback (most recent call last):
+ ...
+ ValueError: no newline found when trying to read stringnl
+
+ Embedded escapes are undone in the result.
+ >>> read_stringnl(StringIO.StringIO("'a\\\\nb\\x00c\\td'\\n'e'"))
+ 'a\\nb\\x00c\\td'
+ """
+
+ data = f.readline()
+ if not data.endswith('\n'):
+ raise ValueError("no newline found when trying to read stringnl")
+ data = data[:-1] # lose the newline
+
+ if stripquotes:
+ for q in "'\"":
+ if data.startswith(q):
+ if not data.endswith(q):
+ raise ValueError("strinq quote %r not found at both "
+ "ends of %r" % (q, data))
+ data = data[1:-1]
+ break
+ else:
+ raise ValueError("no string quotes around %r" % data)
+
+ # I'm not sure when 'string_escape' was added to the std codecs; it's
+ # crazy not to use it if it's there.
+ if decode:
+ data = data.decode('string_escape')
+ return data
+
+stringnl = ArgumentDescriptor(
+ name='stringnl',
+ n=UP_TO_NEWLINE,
+ reader=read_stringnl,
+ doc="""A newline-terminated string.
+
+ This is a repr-style string, with embedded escapes, and
+ bracketing quotes.
+ """)
+
+def read_stringnl_noescape(f):
+ return read_stringnl(f, decode=False, stripquotes=False)
+
+stringnl_noescape = ArgumentDescriptor(
+ name='stringnl_noescape',
+ n=UP_TO_NEWLINE,
+ reader=read_stringnl_noescape,
+ doc="""A newline-terminated string.
+
+ This is a str-style string, without embedded escapes,
+ or bracketing quotes. It should consist solely of
+ printable ASCII characters.
+ """)
+
+def read_stringnl_noescape_pair(f):
+ """
+ >>> import StringIO
+ >>> read_stringnl_noescape_pair(StringIO.StringIO("Queue\\nEmpty\\njunk"))
+ 'Queue.Empty'
+ """
+
+ return "%s.%s" % (read_stringnl_noescape(f), read_stringnl_noescape(f))
+
+stringnl_noescape_pair = ArgumentDescriptor(
+ name='stringnl_noescape_pair',
+ n=UP_TO_NEWLINE,
+ reader=read_stringnl_noescape_pair,
+ doc="""A pair of newline-terminated strings.
+
+ These are str-style strings, without embedded
+ escapes, or bracketing quotes. They should
+ consist solely of printable ASCII characters.
+ The pair is returned as a single string, with
+ a single '.' separating the two strings.
+ """)
+
+def read_string4(f):
+ """
+ >>> import StringIO
+ >>> read_string4(StringIO.StringIO("\\x00\\x00\\x00\\x00abc"))
+ ''
+ >>> read_string4(StringIO.StringIO("\\x03\\x00\\x00\\x00abcdef"))
+ 'abc'
+ >>> read_string4(StringIO.StringIO("\\x00\\x00\\x00\\x03abcdef"))
+ Traceback (most recent call last):
+ ...
+ ValueError: expected 50331648 bytes in a string4, but only 6 remain
+ """
+
+ n = read_int4(f)
+ if n < 0:
+ raise ValueError("string4 byte count < 0: %d" % n)
+ data = f.read(n)
+ if len(data) == n:
+ return data
+ raise ValueError("expected %d bytes in a string4, but only %d remain" %
+ (n, len(data)))
+
+string4 = ArgumentDescriptor(
+ name="string4",
+ n=TAKEN_FROM_ARGUMENT,
+ reader=read_string4,
+ doc="""A counted string.
+
+ The first argument is a 4-byte little-endian signed int giving
+ the number of bytes in the string, and the second argument is
+ that many bytes.
+ """)
+
+
+def read_string1(f):
+ """
+ >>> import StringIO
+ >>> read_string1(StringIO.StringIO("\\x00"))
+ ''
+ >>> read_string1(StringIO.StringIO("\\x03abcdef"))
+ 'abc'
+ """
+
+ n = read_uint1(f)
+ assert n >= 0
+ data = f.read(n)
+ if len(data) == n:
+ return data
+ raise ValueError("expected %d bytes in a string1, but only %d remain" %
+ (n, len(data)))
+
+string1 = ArgumentDescriptor(
+ name="string1",
+ n=TAKEN_FROM_ARGUMENT,
+ reader=read_string1,
+ doc="""A counted string.
+
+ The first argument is a 1-byte unsigned int giving the number
+ of bytes in the string, and the second argument is that many
+ bytes.
+ """)
+
+
+def read_unicodestringnl(f):
+ """
+ >>> import StringIO
+ >>> read_unicodestringnl(StringIO.StringIO("abc\\uabcd\\njunk"))
+ u'abc\\uabcd'
+ """
+
+ data = f.readline()
+ if not data.endswith('\n'):
+ raise ValueError("no newline found when trying to read "
+ "unicodestringnl")
+ data = data[:-1] # lose the newline
+ return unicode(data, 'raw-unicode-escape')
+
+unicodestringnl = ArgumentDescriptor(
+ name='unicodestringnl',
+ n=UP_TO_NEWLINE,
+ reader=read_unicodestringnl,
+ doc="""A newline-terminated Unicode string.
+
+ This is raw-unicode-escape encoded, so consists of
+ printable ASCII characters, and may contain embedded
+ escape sequences.
+ """)
+
+def read_unicodestring4(f):
+ """
+ >>> import StringIO
+ >>> s = u'abcd\\uabcd'
+ >>> enc = s.encode('utf-8')
+ >>> enc
+ 'abcd\\xea\\xaf\\x8d'
+ >>> n = chr(len(enc)) + chr(0) * 3 # little-endian 4-byte length
+ >>> t = read_unicodestring4(StringIO.StringIO(n + enc + 'junk'))
+ >>> s == t
+ True
+
+ >>> read_unicodestring4(StringIO.StringIO(n + enc[:-1]))
+ Traceback (most recent call last):
+ ...
+ ValueError: expected 7 bytes in a unicodestring4, but only 6 remain
+ """
+
+ n = read_int4(f)
+ if n < 0:
+ raise ValueError("unicodestring4 byte count < 0: %d" % n)
+ data = f.read(n)
+ if len(data) == n:
+ return unicode(data, 'utf-8')
+ raise ValueError("expected %d bytes in a unicodestring4, but only %d "
+ "remain" % (n, len(data)))
+
+unicodestring4 = ArgumentDescriptor(
+ name="unicodestring4",
+ n=TAKEN_FROM_ARGUMENT,
+ reader=read_unicodestring4,
+ doc="""A counted Unicode string.
+
+ The first argument is a 4-byte little-endian signed int
+ giving the number of bytes in the string, and the second
+ argument-- the UTF-8 encoding of the Unicode string --
+ contains that many bytes.
+ """)
+
+
+def read_decimalnl_short(f):
+ """
+ >>> import StringIO
+ >>> read_decimalnl_short(StringIO.StringIO("1234\\n56"))
+ 1234
+
+ >>> read_decimalnl_short(StringIO.StringIO("1234L\\n56"))
+ Traceback (most recent call last):
+ ...
+ ValueError: trailing 'L' not allowed in '1234L'
+ """
+
+ s = read_stringnl(f, decode=False, stripquotes=False)
+ if s.endswith("L"):
+ raise ValueError("trailing 'L' not allowed in %r" % s)
+
+ # It's not necessarily true that the result fits in a Python short int:
+ # the pickle may have been written on a 64-bit box. There's also a hack
+ # for True and False here.
+ if s == "00":
+ return False
+ elif s == "01":
+ return True
+
+ try:
+ return int(s)
+ except OverflowError:
+ return long(s)
+
+def read_decimalnl_long(f):
+ """
+ >>> import StringIO
+
+ >>> read_decimalnl_long(StringIO.StringIO("1234\\n56"))
+ Traceback (most recent call last):
+ ...
+ ValueError: trailing 'L' required in '1234'
+
+ Someday the trailing 'L' will probably go away from this output.
+
+ >>> read_decimalnl_long(StringIO.StringIO("1234L\\n56"))
+ 1234L
+
+ >>> read_decimalnl_long(StringIO.StringIO("123456789012345678901234L\\n6"))
+ 123456789012345678901234L
+ """
+
+ s = read_stringnl(f, decode=False, stripquotes=False)
+ if not s.endswith("L"):
+ raise ValueError("trailing 'L' required in %r" % s)
+ return long(s)
+
+
+decimalnl_short = ArgumentDescriptor(
+ name='decimalnl_short',
+ n=UP_TO_NEWLINE,
+ reader=read_decimalnl_short,
+ doc="""A newline-terminated decimal integer literal.
+
+ This never has a trailing 'L', and the integer fit
+ in a short Python int on the box where the pickle
+ was written -- but there's no guarantee it will fit
+ in a short Python int on the box where the pickle
+ is read.
+ """)
+
+decimalnl_long = ArgumentDescriptor(
+ name='decimalnl_long',
+ n=UP_TO_NEWLINE,
+ reader=read_decimalnl_long,
+ doc="""A newline-terminated decimal integer literal.
+
+ This has a trailing 'L', and can represent integers
+ of any size.
+ """)
+
+
+def read_floatnl(f):
+ """
+ >>> import StringIO
+ >>> read_floatnl(StringIO.StringIO("-1.25\\n6"))
+ -1.25
+ """
+ s = read_stringnl(f, decode=False, stripquotes=False)
+ return float(s)
+
+floatnl = ArgumentDescriptor(
+ name='floatnl',
+ n=UP_TO_NEWLINE,
+ reader=read_floatnl,
+ doc="""A newline-terminated decimal floating literal.
+
+ In general this requires 17 significant digits for roundtrip
+ identity, and pickling then unpickling infinities, NaNs, and
+ minus zero doesn't work across boxes, or on some boxes even
+ on itself (e.g., Windows can't read the strings it produces
+ for infinities or NaNs).
+ """)
+
+def read_float8(f):
+ """
+ >>> import StringIO, struct
+ >>> raw = struct.pack(">d", -1.25)
+ >>> raw
+ '\\xbf\\xf4\\x00\\x00\\x00\\x00\\x00\\x00'
+ >>> read_float8(StringIO.StringIO(raw + "\\n"))
+ -1.25
+ """
+
+ data = f.read(8)
+ if len(data) == 8:
+ return _unpack(">d", data)[0]
+ raise ValueError("not enough data in stream to read float8")
+
+
+float8 = ArgumentDescriptor(
+ name='float8',
+ n=8,
+ reader=read_float8,
+ doc="""An 8-byte binary representation of a float, big-endian.
+
+ The format is unique to Python, and shared with the struct
+ module (format string '>d') "in theory" (the struct and cPickle
+ implementations don't share the code -- they should). It's
+ strongly related to the IEEE-754 double format, and, in normal
+ cases, is in fact identical to the big-endian 754 double format.
+ On other boxes the dynamic range is limited to that of a 754
+ double, and "add a half and chop" rounding is used to reduce
+ the precision to 53 bits. However, even on a 754 box,
+ infinities, NaNs, and minus zero may not be handled correctly
+ (may not survive roundtrip pickling intact).
+ """)
+
+##############################################################################
+# Object descriptors. The stack used by the pickle machine holds objects,
+# and in the stack_before and stack_after attributes of OpcodeInfo
+# descriptors we need names to describe the various types of objects that can
+# appear on the stack.
+
+class StackObject(object):
+ __slots__ = (
+ # name of descriptor record, for info only
+ 'name',
+
+ # type of object, or tuple of type objects (meaning the object can
+ # be of any type in the tuple)
+ 'obtype',
+
+ # human-readable docs for this kind of stack object; a string
+ 'doc',
+ )
+
+ def __init__(self, name, obtype, doc):
+ assert isinstance(name, str)
+ self.name = name
+
+ assert isinstance(obtype, type) or isinstance(obtype, tuple)
+ if isinstance(obtype, tuple):
+ for contained in obtype:
+ assert isinstance(contained, type)
+ self.obtype = obtype
+
+ assert isinstance(doc, str)
+ self.doc = doc
+
+
+pyint = StackObject(
+ name='int',
+ obtype=int,
+ doc="A short (as opposed to long) Python integer object.")
+
+pylong = StackObject(
+ name='long',
+ obtype=long,
+ doc="A long (as opposed to short) Python integer object.")
+
+pyinteger_or_bool = StackObject(
+ name='int_or_bool',
+ obtype=(int, long, bool),
+ doc="A Python integer object (short or long), or "
+ "a Python bool.")
+
+pyfloat = StackObject(
+ name='float',
+ obtype=float,
+ doc="A Python float object.")
+
+pystring = StackObject(
+ name='str',
+ obtype=str,
+ doc="A Python string object.")
+
+pyunicode = StackObject(
+ name='unicode',
+ obtype=unicode,
+ doc="A Python Unicode string object.")
+
+pynone = StackObject(
+ name="None",
+ obtype=type(None),
+ doc="The Python None object.")
+
+pytuple = StackObject(
+ name="tuple",
+ obtype=tuple,
+ doc="A Python tuple object.")
+
+pylist = StackObject(
+ name="list",
+ obtype=list,
+ doc="A Python list object.")
+
+pydict = StackObject(
+ name="dict",
+ obtype=dict,
+ doc="A Python dict object.")
+
+anyobject = StackObject(
+ name='any',
+ obtype=object,
+ doc="Any kind of object whatsoever.")
+
+markobject = StackObject(
+ name="mark",
+ obtype=StackObject,
+ doc="""'The mark' is a unique object.
+
+ Opcodes that operate on a variable number of objects
+ generally don't embed the count of objects in the opcode,
+ or pull it off the stack. Instead the MARK opcode is used
+ to push a special marker object on the stack, and then
+ some other opcodes grab all the objects from the top of
+ the stack down to (but not including) the topmost marker
+ object.
+ """)
+
+stackslice = StackObject(
+ name="stackslice",
+ obtype=StackObject,
+ doc="""An object representing a contiguous slice of the stack.
+
+ This is used in conjuction with markobject, to represent all
+ of the stack following the topmost markobject. For example,
+ the POP_MARK opcode changes the stack from
+
+ [..., markobject, stackslice]
+ to
+ [...]
+
+ No matter how many object are on the stack after the topmost
+ markobject, POP_MARK gets rid of all of them (including the
+ topmost markobject too).
+ """)
+
+##############################################################################
+# Descriptors for pickle opcodes.
+
+class OpcodeInfo(object):
+
+ __slots__ = (
+ # symbolic name of opcode; a string
+ 'name',
+
+ # the code used in a bytestream to represent the opcode; a
+ # one-character string
+ 'code',
+
+ # If the opcode has an argument embedded in the byte string, an
+ # instance of ArgumentDescriptor specifying its type. Note that
+ # arg.reader(s) can be used to read and decode the argument from
+ # the bytestream s, and arg.doc documents the format of the raw
+ # argument bytes. If the opcode doesn't have an argument embedded
+ # in the bytestream, arg should be None.
+ 'arg',
+
+ # what the stack looks like before this opcode runs; a list
+ 'stack_before',
+
+ # what the stack looks like after this opcode runs; a list
+ 'stack_after',
+
+ # the protocol number in which this opcode was introduced; an int
+ 'proto',
+
+ # human-readable docs for this opcode; a string
+ 'doc',
+ )
+
+ def __init__(self, name, code, arg,
+ stack_before, stack_after, proto, doc):
+ assert isinstance(name, str)
+ self.name = name
+
+ assert isinstance(code, str)
+ assert len(code) == 1
+ self.code = code
+
+ assert arg is None or isinstance(arg, ArgumentDescriptor)
+ self.arg = arg
+
+ assert isinstance(stack_before, list)
+ for x in stack_before:
+ assert isinstance(x, StackObject)
+ self.stack_before = stack_before
+
+ assert isinstance(stack_after, list)
+ for x in stack_after:
+ assert isinstance(x, StackObject)
+ self.stack_after = stack_after
+
+ assert isinstance(proto, int) and 0 <= proto <= 2
+ self.proto = proto
+
+ assert isinstance(doc, str)
+ self.doc = doc
+
+I = OpcodeInfo
+opcodes = [
+
+ # Ways to spell integers.
+
+ I(name='INT',
+ code='I',
+ arg=decimalnl_short,
+ stack_before=[],
+ stack_after=[pyinteger_or_bool],
+ proto=0,
+ doc="""Push an integer or bool.
+
+ The argument is a newline-terminated decimal literal string.
+
+ The intent may have been that this always fit in a short Python int,
+ but INT can be generated in pickles written on a 64-bit box that
+ require a Python long on a 32-bit box. The difference between this
+ and LONG then is that INT skips a trailing 'L', and produces a short
+ int whenever possible.
+
+ Another difference is due to that, when bool was introduced as a
+ distinct type in 2.3, builtin names True and False were also added to
+ 2.2.2, mapping to ints 1 and 0. For compatibility in both directions,
+ True gets pickled as INT + "I01\\n", and False as INT + "I00\\n".
+ Leading zeroes are never produced for a genuine integer. The 2.3
+ (and later) unpicklers special-case these and return bool instead;
+ earlier unpicklers ignore the leading "0" and return the int.
+ """),
+
+ I(name='LONG',
+ code='L',
+ arg=decimalnl_long,
+ stack_before=[],
+ stack_after=[pylong],
+ proto=0,
+ doc="""Push a long integer.
+
+ The same as INT, except that the literal ends with 'L', and always
+ unpickles to a Python long. There doesn't seem a real purpose to the
+ trailing 'L'.
+ """),
+
+ I(name='BININT',
+ code='J',
+ arg=int4,
+ stack_before=[],
+ stack_after=[pyint],
+ proto=1,
+ doc="""Push a four-byte signed integer.
+
+ This handles the full range of Python (short) integers on a 32-bit
+ box, directly as binary bytes (1 for the opcode and 4 for the integer).
+ If the integer is non-negative and fits in 1 or 2 bytes, pickling via
+ BININT1 or BININT2 saves space.
+ """),
+
+ I(name='BININT1',
+ code='K',
+ arg=uint1,
+ stack_before=[],
+ stack_after=[pyint],
+ proto=1,
+ doc="""Push a one-byte unsigned integer.
+
+ This is a space optimization for pickling very small non-negative ints,
+ in range(256).
+ """),
+
+ I(name='BININT2',
+ code='M',
+ arg=uint2,
+ stack_before=[],
+ stack_after=[pyint],
+ proto=1,
+ doc="""Push a two-byte unsigned integer.
+
+ This is a space optimization for pickling small positive ints, in
+ range(256, 2**16). Integers in range(256) can also be pickled via
+ BININT2, but BININT1 instead saves a byte.
+ """),
+
+ # Ways to spell strings (8-bit, not Unicode).
+
+ I(name='STRING',
+ code='S',
+ arg=stringnl,
+ stack_before=[],
+ stack_after=[pystring],
+ proto=0,
+ doc="""Push a Python string object.
+
+ The argument is a repr-style string, with bracketing quote characters,
+ and perhaps embedded escapes. The argument extends until the next
+ newline character.
+ """),
+
+ I(name='BINSTRING',
+ code='T',
+ arg=string4,
+ stack_before=[],
+ stack_after=[pystring],
+ proto=1,
+ doc="""Push a Python string object.
+
+ There are two arguments: the first is a 4-byte little-endian signed int
+ giving the number of bytes in the string, and the second is that many
+ bytes, which are taken literally as the string content.
+ """),
+
+ I(name='SHORT_BINSTRING',
+ code='U',
+ arg=string1,
+ stack_before=[],
+ stack_after=[pystring],
+ proto=1,
+ doc="""Push a Python string object.
+
+ There are two arguments: the first is a 1-byte unsigned int giving
+ the number of bytes in the string, and the second is that many bytes,
+ which are taken literally as the string content.
+ """),
+
+ # Ways to spell None.
+
+ I(name='NONE',
+ code='N',
+ arg=None,
+ stack_before=[],
+ stack_after=[pynone],
+ proto=0,
+ doc="Push None on the stack."),
+
+ # Ways to spell Unicode strings.
+
+ I(name='UNICODE',
+ code='V',
+ arg=unicodestringnl,
+ stack_before=[],
+ stack_after=[pyunicode],
+ proto=0, # this may be pure-text, but it's a later addition
+ doc="""Push a Python Unicode string object.
+
+ The argument is a raw-unicode-escape encoding of a Unicode string,
+ and so may contain embedded escape sequences. The argument extends
+ until the next newline character.
+ """),
+
+ I(name='BINUNICODE',
+ code='X',
+ arg=unicodestring4,
+ stack_before=[],
+ stack_after=[pyunicode],
+ proto=1,
+ doc="""Push a Python Unicode string object.
+
+ There are two arguments: the first is a 4-byte little-endian signed int
+ giving the number of bytes in the string. The second is that many
+ bytes, and is the UTF-8 encoding of the Unicode string.
+ """),
+
+ # Ways to spell floats.
+
+ I(name='FLOAT',
+ code='F',
+ arg=floatnl,
+ stack_before=[],
+ stack_after=[pyfloat],
+ proto=0,
+ doc="""Newline-terminated decimal float literal.
+
+ The argument is repr(a_float), and in general requires 17 significant
+ digits for roundtrip conversion to be an identity (this is so for
+ IEEE-754 double precision values, which is what Python float maps to
+ on most boxes).
+
+ In general, FLOAT cannot be used to transport infinities, NaNs, or
+ minus zero across boxes (or even on a single box, if the platform C
+ library can't read the strings it produces for such things -- Windows
+ is like that), but may do less damage than BINFLOAT on boxes with
+ greater precision or dynamic range than IEEE-754 double.
+ """),
+
+ I(name='BINFLOAT',
+ code='G',
+ arg=float8,
+ stack_before=[],
+ stack_after=[pyfloat],
+ proto=1,
+ doc="""Float stored in binary form, with 8 bytes of data.
+
+ This generally requires less than half the space of FLOAT encoding.
+ In general, BINFLOAT cannot be used to transport infinities, NaNs, or
+ minus zero, raises an exception if the exponent exceeds the range of
+ an IEEE-754 double, and retains no more than 53 bits of precision (if
+ there are more than that, "add a half and chop" rounding is used to
+ cut it back to 53 significant bits).
+ """),
+
+ # Ways to build lists.
+
+ I(name='EMPTY_LIST',
+ code=']',
+ arg=None,
+ stack_before=[],
+ stack_after=[pylist],
+ proto=1,
+ doc="Push an empty list."),
+
+ I(name='APPEND',
+ code='a',
+ arg=None,
+ stack_before=[pylist, anyobject],
+ stack_after=[pylist],
+ proto=0,
+ doc="""Append an object to a list.
+
+ Stack before: ... pylist anyobject
+ Stack after: ... pylist+[anyobject]
+ """),
+
+ I(name='APPENDS',
+ code='e',
+ arg=None,
+ stack_before=[pylist, markobject, stackslice],
+ stack_after=[pylist],
+ proto=1,
+ doc="""Extend a list by a slice of stack objects.
+
+ Stack before: ... pylist markobject stackslice
+ Stack after: ... pylist+stackslice
+ """),
+
+ I(name='LIST',
+ code='l',
+ arg=None,
+ stack_before=[markobject, stackslice],
+ stack_after=[pylist],
+ proto=0,
+ doc="""Build a list out of the topmost stack slice, after markobject.
+
+ All the stack entries following the topmost markobject are placed into
+ a single Python list, which single list object replaces all of the
+ stack from the topmost markobject onward. For example,
+
+ Stack before: ... markobject 1 2 3 'abc'
+ Stack after: ... [1, 2, 3, 'abc']
+ """),
+
+ # Ways to build tuples.
+
+ I(name='EMPTY_TUPLE',
+ code=')',
+ arg=None,
+ stack_before=[],
+ stack_after=[pytuple],
+ proto=1,
+ doc="Push an empty tuple."),
+
+ I(name='TUPLE',
+ code='t',
+ arg=None,
+ stack_before=[markobject, stackslice],
+ stack_after=[pytuple],
+ proto=0,
+ doc="""Build a tuple out of the topmost stack slice, after markobject.
+
+ All the stack entries following the topmost markobject are placed into
+ a single Python tuple, which single tuple object replaces all of the
+ stack from the topmost markobject onward. For example,
+
+ Stack before: ... markobject 1 2 3 'abc'
+ Stack after: ... (1, 2, 3, 'abc')
+ """),
+
+ # Ways to build dicts.
+
+ I(name='EMPTY_DICT',
+ code='}',
+ arg=None,
+ stack_before=[],
+ stack_after=[pydict],
+ proto=1,
+ doc="Push an empty dict."),
+
+ I(name='DICT',
+ code='d',
+ arg=None,
+ stack_before=[markobject, stackslice],
+ stack_after=[pydict],
+ proto=0,
+ doc="""Build a dict out of the topmost stack slice, after markobject.
+
+ All the stack entries following the topmost markobject are placed into
+ a single Python dict, which single dict object replaces all of the
+ stack from the topmost markobject onward. The stack slice alternates
+ key, value, key, value, .... For example,
+
+ Stack before: ... markobject 1 2 3 'abc'
+ Stack after: ... {1: 2, 3: 'abc'}
+ """),
+
+ I(name='SETITEM',
+ code='s',
+ arg=None,
+ stack_before=[pydict, anyobject, anyobject],
+ stack_after=[pydict],
+ proto=0,
+ doc="""Add a key+value pair to an existing dict.
+
+ Stack before: ... pydict key value
+ Stack after: ... pydict
+
+ where pydict has been modified via pydict[key] = value.
+ """),
+
+ I(name='SETITEMS',
+ code='u',
+ arg=None,
+ stack_before=[pydict, markobject, stackslice],
+ stack_after=[pydict],
+ proto=1,
+ doc="""Add an arbitrary number of key+value pairs to an existing dict.
+
+ The slice of the stack following the topmost markobject is taken as
+ an alternating sequence of keys and values, added to the dict
+ immediately under the topmost markobject. Everything at and after the
+ topmost markobject is popped, leaving the mutated dict at the top
+ of the stack.
+
+ Stack before: ... pydict markobject key_1 value_1 ... key_n value_n
+ Stack after: ... pydict
+
+ where pydict has been modified via pydict[key_i] = value_i for i in
+ 1, 2, ..., n, and in that order.
+ """),
+
+ # Stack manipulation.
+
+ I(name='POP',
+ code='0',
+ arg=None,
+ stack_before=[anyobject],
+ stack_after=[],
+ proto=0,
+ doc="Discard the top stack item, shrinking the stack by one item."),
+
+ I(name='DUP',
+ code='2',
+ arg=None,
+ stack_before=[anyobject],
+ stack_after=[anyobject, anyobject],
+ proto=0,
+ doc="Push the top stack item onto the stack again, duplicating it."),
+
+ I(name='MARK',
+ code='(',
+ arg=None,
+ stack_before=[],
+ stack_after=[markobject],
+ proto=0,
+ doc="""Push markobject onto the stack.
+
+ markobject is a unique object, used by other opcodes to identify a
+ region of the stack containing a variable number of objects for them
+ to work on. See markobject.doc for more detail.
+ """),
+
+ I(name='POP_MARK',
+ code='1',
+ arg=None,
+ stack_before=[markobject, stackslice],
+ stack_after=[],
+ proto=0,
+ doc="""Pop all the stack objects at and above the topmost markobject.
+
+ When an opcode using a variable number of stack objects is done,
+ POP_MARK is used to remove those objects, and to remove the markobject
+ that delimited their starting position on the stack.
+ """),
+
+ # Memo manipulation. There are really only two operations (get and put),
+ # each in all-text, "short binary", and "long binary" flavors.
+
+ I(name='GET',
+ code='g',
+ arg=decimalnl_short,
+ stack_before=[],
+ stack_after=[anyobject],
+ proto=0,
+ doc="""Read an object from the memo and push it on the stack.
+
+ The index of the memo object to push is given by the newline-teriminated
+ decimal string following. BINGET and LONG_BINGET are space-optimized
+ versions.
+ """),
+
+ I(name='BINGET',
+ code='h',
+ arg=uint1,
+ stack_before=[],
+ stack_after=[anyobject],
+ proto=1,
+ doc="""Read an object from the memo and push it on the stack.
+
+ The index of the memo object to push is given by the 1-byte unsigned
+ integer following.
+ """),
+
+ I(name='LONG_BINGET',
+ code='j',
+ arg=int4,
+ stack_before=[],
+ stack_after=[anyobject],
+ proto=1,
+ doc="""Read an object from the memo and push it on the stack.
+
+ The index of the memo object to push is given by the 4-byte signed
+ little-endian integer following.
+ """),
+
+ I(name='PUT',
+ code='p',
+ arg=decimalnl_short,
+ stack_before=[],
+ stack_after=[],
+ proto=0,
+ doc="""Store the stack top into the memo. The stack is not popped.
+
+ The index of the memo location to write into is given by the newline-
+ terminated decimal string following. BINPUT and LONG_BINPUT are
+ space-optimized versions.
+ """),
+
+ I(name='BINPUT',
+ code='q',
+ arg=uint1,
+ stack_before=[],
+ stack_after=[],
+ proto=1,
+ doc="""Store the stack top into the memo. The stack is not popped.
+
+ The index of the memo location to write into is given by the 1-byte
+ unsigned integer following.
+ """),
+
+ I(name='LONG_BINPUT',
+ code='r',
+ arg=int4,
+ stack_before=[],
+ stack_after=[],
+ proto=1,
+ doc="""Store the stack top into the memo. The stack is not popped.
+
+ The index of the memo location to write into is given by the 4-byte
+ signed little-endian integer following.
+ """),
+
+ # Push a class object, or module function, on the stack, via its module
+ # and name.
+
+ I(name='GLOBAL',
+ code='c',
+ arg=stringnl_noescape_pair,
+ stack_before=[],
+ stack_after=[anyobject],
+ proto=0,
+ doc="""Push a global object (module.attr) on the stack.
+
+ Two newline-terminated strings follow the GLOBAL opcode. The first is
+ taken as a module name, and the second as a class name. The class
+ object module.class is pushed on the stack. More accurately, the
+ object returned by self.find_class(module, class) is pushed on the
+ stack, so unpickling subclasses can override this form of lookup.
+ """),
+
+ # Ways to build objects of classes pickle doesn't know about directly
+ # (user-defined classes). I despair of documenting this accurately
+ # and comprehensibly -- you really have to read the pickle code to
+ # find all the special cases.
+
+ I(name='REDUCE',
+ code='R',
+ arg=None,
+ stack_before=[anyobject, anyobject],
+ stack_after=[anyobject],
+ proto=0,
+ doc="""Push an object built from a callable and an argument tuple.
+
+ The opcode is named to remind of the __reduce__() method.
+
+ Stack before: ... callable pytuple
+ Stack after: ... callable(*pytuple)
+
+ The callable and the argument tuple are the first two items returned
+ by a __reduce__ method. Applying the callable to the argtuple is
+ supposed to reproduce the original object, or at least get it started.
+ If the __reduce__ method returns a 3-tuple, the last component is an
+ argument to be passed to the object's __setstate__, and then the REDUCE
+ opcode is followed by code to create setstate's argument, and then a
+ BUILD opcode to apply __setstate__ to that argument.
+
+ There are lots of special cases here. The argtuple can be None, in
+ which case callable.__basicnew__() is called instead to produce the
+ object to be pushed on the stack. This appears to be a trick unique
+ to ExtensionClasses, and is deprecated regardless.
+
+ If type(callable) is not ClassType, REDUCE complains unless the
+ callable has been registered with the copy_reg module's
+ safe_constructors dict, or the callable has a magic
+ '__safe_for_unpickling__' attribute with a true value. I'm not sure
+ why it does this, but I've sure seen this complaint often enough when
+ I didn't want to <wink>.
+ """),
+
+ I(name='BUILD',
+ code='b',
+ arg=None,
+ stack_before=[anyobject, anyobject],
+ stack_after=[anyobject],
+ proto=0,
+ doc="""Finish building an object, via __setstate__ or dict update.
+
+ Stack before: ... anyobject argument
+ Stack after: ... anyobject
+
+ where anyobject may have been mutated, as follows:
+
+ If the object has a __setstate__ method,
+
+ anyobject.__setstate__(argument)
+
+ is called.
+
+ Else the argument must be a dict, the object must have a __dict__, and
+ the object is updated via
+
+ anyobject.__dict__.update(argument)
+
+ This may raise RuntimeError in restricted execution mode (which
+ disallows access to __dict__ directly); in that case, the object
+ is updated instead via
+
+ for k, v in argument.items():
+ anyobject[k] = v
+ """),
+
+ I(name='INST',
+ code='i',
+ arg=stringnl_noescape_pair,
+ stack_before=[markobject, stackslice],
+ stack_after=[anyobject],
+ proto=0,
+ doc="""Build a class instance.
+
+ This is the protocol 0 version of protocol 1's OBJ opcode.
+ INST is followed by two newline-terminated strings, giving a
+ module and class name, just as for the GLOBAL opcode (and see
+ GLOBAL for more details about that). self.find_class(module, name)
+ is used to get a class object.
+
+ In addition, all the objects on the stack following the topmost
+ markobject are gathered into a tuple and popped (along with the
+ topmost markobject), just as for the TUPLE opcode.
+
+ Now it gets complicated. If all of these are true:
+
+ + The argtuple is empty (markobject was at the top of the stack
+ at the start).
+
+ + It's an old-style class object (the type of the class object is
+ ClassType).
+
+ + The class object does not have a __getinitargs__ attribute.
+
+ then we want to create an old-style class instance without invoking
+ its __init__() method (pickle has waffled on this over the years; not
+ calling __init__() is current wisdom). In this case, an instance of
+ an old-style dummy class is created, and then we try to rebind its
+ __class__ attribute to the desired class object. If this succeeds,
+ the new instance object is pushed on the stack, and we're done. In
+ restricted execution mode it can fail (assignment to __class__ is
+ disallowed), and I'm not really sure what happens then -- it looks
+ like the code ends up calling the class object's __init__ anyway,
+ via falling into the next case.
+
+ Else (the argtuple is not empty, it's not an old-style class object,
+ or the class object does have a __getinitargs__ attribute), the code
+ first insists that the class object have a __safe_for_unpickling__
+ attribute. Unlike as for the __safe_for_unpickling__ check in REDUCE,
+ it doesn't matter whether this attribute has a true or false value, it
+ only matters whether it exists (XXX this smells like a bug). If
+ __safe_for_unpickling__ dosn't exist, UnpicklingError is raised.
+
+ Else (the class object does have a __safe_for_unpickling__ attr),
+ the class object obtained from INST's arguments is applied to the
+ argtuple obtained from the stack, and the resulting instance object
+ is pushed on the stack.
+ """),
+
+ I(name='OBJ',
+ code='o',
+ arg=None,
+ stack_before=[markobject, anyobject, stackslice],
+ stack_after=[anyobject],
+ proto=1,
+ doc="""Build a class instance.
+
+ This is the protocol 1 version of protocol 0's INST opcode, and is
+ very much like it. The major difference is that the class object
+ is taken off the stack, allowing it to be retrieved from the memo
+ repeatedly if several instances of the same class are created. This
+ can be much more efficient (in both time and space) than repeatedly
+ embedding the module and class names in INST opcodes.
+
+ Unlike INST, OBJ takes no arguments from the opcode stream. Instead
+ the class object is taken off the stack, immediately above the
+ topmost markobject:
+
+ Stack before: ... markobject classobject stackslice
+ Stack after: ... new_instance_object
+
+ As for INST, the remainder of the stack above the markobject is
+ gathered into an argument tuple, and then the logic seems identical,
+ except that no __safe_for_unpickling__ check is done (XXX this smells
+ like a bug). See INST for the gory details.
+ """),
+
+ # Machine control.
+
+ I(name='STOP',
+ code='.',
+ arg=None,
+ stack_before=[anyobject],
+ stack_after=[],
+ proto=0,
+ doc="""Stop the unpickling machine.
+
+ Every pickle ends with this opcode. The object at the top of the stack
+ is popped, and that's the result of unpickling. The stack should be
+ empty then.
+ """),
+
+ # Ways to deal with persistent IDs.
+
+ I(name='PERSID',
+ code='P',
+ arg=stringnl_noescape,
+ stack_before=[],
+ stack_after=[anyobject],
+ proto=0,
+ doc="""Push an object identified by a persistent ID.
+
+ The pickle module doesn't define what a persistent ID means. PERSID's
+ argument is a newline-terminated str-style (no embedded escapes, no
+ bracketing quote characters) string, which *is* "the persistent ID".
+ The unpickler passes this string to self.persistent_load(). Whatever
+ object that returns is pushed on the stack. There is no implementation
+ of persistent_load() in Python's unpickler: it must be supplied by an
+ unpickler subclass.
+ """),
+
+ I(name='BINPERSID',
+ code='Q',
+ arg=None,
+ stack_before=[anyobject],
+ stack_after=[anyobject],
+ proto=1,
+ doc="""Push an object identified by a persistent ID.
+
+ Like PERSID, except the persistent ID is popped off the stack (instead
+ of being a string embedded in the opcode bytestream). The persistent
+ ID is passed to self.persistent_load(), and whatever object that
+ returns is pushed on the stack. See PERSID for more detail.
+ """),
+]
+del I
+
+# Verify uniqueness of .name and .code members.
+name2i = {}
+code2i = {}
+
+for i, d in enumerate(opcodes):
+ if d.name in name2i:
+ raise ValueError("repeated name %r at indices %d and %d" %
+ (d.name, name2i[d.name], i))
+ if d.code in code2i:
+ raise ValueError("repeated code %r at indices %d and %d" %
+ (d.code, code2i[d.code], i))
+
+ name2i[d.name] = i
+ code2i[d.code] = i
+
+del name2i, code2i, i, d
+
+##############################################################################
+# Build a code2op dict, mapping opcode characters to OpcodeInfo records.
+# Also ensure we've got the same stuff as pickle.py, although the
+# introspection here is dicey.
+
+code2op = {}
+for d in opcodes:
+ code2op[d.code] = d
+del d
+
+def assure_pickle_consistency(verbose=False):
+ import pickle, re
+
+ copy = code2op.copy()
+ for name in pickle.__all__:
+ if not re.match("[A-Z][A-Z0-9_]+$", name):
+ if verbose:
+ print "skipping %r: it doesn't look like an opcode name" % name
+ continue
+ picklecode = getattr(pickle, name)
+ if not isinstance(picklecode, str) or len(picklecode) != 1:
+ if verbose:
+ print ("skipping %r: value %r doesn't look like a pickle "
+ "code" % (name, picklecode))
+ continue
+ if picklecode in copy:
+ if verbose:
+ print "checking name %r w/ code %r for consistency" % (
+ name, picklecode)
+ d = copy[picklecode]
+ if d.name != name:
+ raise ValueError("for pickle code %r, pickle.py uses name %r "
+ "but we're using name %r" % (picklecode,
+ name,
+ d.name))
+ # Forget this one. Any left over in copy at the end are a problem
+ # of a different kind.
+ del copy[picklecode]
+ else:
+ raise ValueError("pickle.py appears to have a pickle opcode with "
+ "name %r and code %r, but we don't" %
+ (name, picklecode))
+ if copy:
+ msg = ["we appear to have pickle opcodes that pickle.py doesn't have:"]
+ for code, d in copy.items():
+ msg.append(" name %r with code %r" % (d.name, code))
+ raise ValueError("\n".join(msg))
+
+assure_pickle_consistency()
+
+##############################################################################
+# A pickle opcode generator.
+
+def genops(pickle):
+ """"Generate all the opcodes in a pickle.
+
+ 'pickle' is a file-like object, or string, containing the pickle.
+
+ Each opcode in the pickle is generated, from the current pickle position,
+ stopping after a STOP opcode is delivered. A triple is generated for
+ each opcode:
+
+ opcode, arg, pos
+
+ opcode is an OpcodeInfo record, describing the current opcode.
+
+ If the opcode has an argument embedded in the pickle, arg is its decoded
+ value, as a Python object. If the opcode doesn't have an argument, arg
+ is None.
+
+ If the pickle has a tell() method, pos was the value of pickle.tell()
+ before reading the current opcode. If the pickle is a string object,
+ it's wrapped in a StringIO object, and the latter's tell() result is
+ used. Else (the pickle doesn't have a tell(), and it's not obvious how
+ to query its current position) pos is None.
+ """
+
+ import cStringIO as StringIO
+
+ if isinstance(pickle, str):
+ pickle = StringIO.StringIO(pickle)
+
+ if hasattr(pickle, "tell"):
+ getpos = pickle.tell
+ else:
+ getpos = lambda: None
+
+ while True:
+ pos = getpos()
+ code = pickle.read(1)
+ opcode = code2op.get(code)
+ if opcode is None:
+ if code == "":
+ raise ValueError("pickle exhausted before seeing STOP")
+ else:
+ raise ValueError("at position %s, opcode %r unknown" % (
+ pos is None and "<unknown>" or pos,
+ code))
+ if opcode.arg is None:
+ arg = None
+ else:
+ arg = opcode.arg.reader(pickle)
+ yield opcode, arg, pos
+ if code == '.':
+ assert opcode.name == 'STOP'
+ break
+
+##############################################################################
+# A symbolic pickle disassembler.
+
+def dis(pickle, out=None, indentlevel=4):
+ """Produce a symbolic disassembly of a pickle.
+
+ 'pickle' is a file-like object, or string, containing a (at least one)
+ pickle. The pickle is disassembled from the current position, through
+ the first STOP opcode encountered.
+
+ Optional arg 'out' is a file-like object to which the disassembly is
+ printed. It defaults to sys.stdout.
+
+ Optional arg indentlevel is the number of blanks by which to indent
+ a new MARK level. It defaults to 4.
+ """
+
+ markstack = []
+ indentchunk = ' ' * indentlevel
+ for opcode, arg, pos in genops(pickle):
+ if pos is not None:
+ print >> out, "%5d:" % pos,
+
+ line = "%s %s%s" % (opcode.code,
+ indentchunk * len(markstack),
+ opcode.name)
+
+ markmsg = None
+ if markstack and markobject in opcode.stack_before:
+ assert markobject not in opcode.stack_after
+ markpos = markstack.pop()
+ if markpos is not None:
+ markmsg = "(MARK at %d)" % markpos
+
+ if arg is not None or markmsg:
+ # make a mild effort to align arguments
+ line += ' ' * (10 - len(opcode.name))
+ if arg is not None:
+ line += ' ' + repr(arg)
+ if markmsg:
+ line += ' ' + markmsg
+ print >> out, line
+
+ if markobject in opcode.stack_after:
+ assert markobject not in opcode.stack_before
+ markstack.append(pos)
+
+
+_dis_test = """
+>>> import pickle
+>>> x = [1, 2, (3, 4), {'abc': u"def"}]
+>>> pik = pickle.dumps(x)
+>>> dis(pik)
+ 0: ( MARK
+ 1: l LIST (MARK at 0)
+ 2: p PUT 0
+ 5: I INT 1
+ 8: a APPEND
+ 9: I INT 2
+ 12: a APPEND
+ 13: ( MARK
+ 14: I INT 3
+ 17: I INT 4
+ 20: t TUPLE (MARK at 13)
+ 21: p PUT 1
+ 24: a APPEND
+ 25: ( MARK
+ 26: d DICT (MARK at 25)
+ 27: p PUT 2
+ 30: S STRING 'abc'
+ 37: p PUT 3
+ 40: V UNICODE u'def'
+ 45: p PUT 4
+ 48: s SETITEM
+ 49: a APPEND
+ 50: . STOP
+
+Try again with a "binary" pickle.
+
+>>> pik = pickle.dumps(x, 1)
+>>> dis(pik)
+ 0: ] EMPTY_LIST
+ 1: q BINPUT 0
+ 3: ( MARK
+ 4: K BININT1 1
+ 6: K BININT1 2
+ 8: ( MARK
+ 9: K BININT1 3
+ 11: K BININT1 4
+ 13: t TUPLE (MARK at 8)
+ 14: q BINPUT 1
+ 16: } EMPTY_DICT
+ 17: q BINPUT 2
+ 19: U SHORT_BINSTRING 'abc'
+ 24: q BINPUT 3
+ 26: X BINUNICODE u'def'
+ 34: q BINPUT 4
+ 36: s SETITEM
+ 37: e APPENDS (MARK at 3)
+ 38: . STOP
+
+Exercise the INST/OBJ/BUILD family.
+
+>>> import random
+>>> dis(pickle.dumps(random.random))
+ 0: c GLOBAL 'random.random'
+ 15: p PUT 0
+ 18: . STOP
+
+>>> x = [pickle.PicklingError()] * 2
+>>> dis(pickle.dumps(x))
+ 0: ( MARK
+ 1: l LIST (MARK at 0)
+ 2: p PUT 0
+ 5: ( MARK
+ 6: i INST 'pickle.PicklingError' (MARK at 5)
+ 28: p PUT 1
+ 31: ( MARK
+ 32: d DICT (MARK at 31)
+ 33: p PUT 2
+ 36: S STRING 'args'
+ 44: p PUT 3
+ 47: ( MARK
+ 48: t TUPLE (MARK at 47)
+ 49: p PUT 4
+ 52: s SETITEM
+ 53: b BUILD
+ 54: a APPEND
+ 55: g GET 1
+ 58: a APPEND
+ 59: . STOP
+
+>>> dis(pickle.dumps(x, 1))
+ 0: ] EMPTY_LIST
+ 1: q BINPUT 0
+ 3: ( MARK
+ 4: ( MARK
+ 5: c GLOBAL 'pickle.PicklingError'
+ 27: q BINPUT 1
+ 29: o OBJ (MARK at 4)
+ 30: q BINPUT 2
+ 32: } EMPTY_DICT
+ 33: q BINPUT 3
+ 35: U SHORT_BINSTRING 'args'
+ 41: q BINPUT 4
+ 43: ) EMPTY_TUPLE
+ 44: s SETITEM
+ 45: b BUILD
+ 46: h BINGET 2
+ 48: e APPENDS (MARK at 3)
+ 49: . STOP
+
+Try "the canonical" recursive-object test.
+
+>>> L = []
+>>> T = L,
+>>> L.append(T)
+>>> L[0] is T
+True
+>>> T[0] is L
+True
+>>> L[0][0] is L
+True
+>>> T[0][0] is T
+True
+>>> dis(pickle.dumps(L))
+ 0: ( MARK
+ 1: l LIST (MARK at 0)
+ 2: p PUT 0
+ 5: ( MARK
+ 6: g GET 0
+ 9: t TUPLE (MARK at 5)
+ 10: p PUT 1
+ 13: a APPEND
+ 14: . STOP
+>>> dis(pickle.dumps(L, 1))
+ 0: ] EMPTY_LIST
+ 1: q BINPUT 0
+ 3: ( MARK
+ 4: h BINGET 0
+ 6: t TUPLE (MARK at 3)
+ 7: q BINPUT 1
+ 9: a APPEND
+ 10: . STOP
+
+The protocol 0 pickle of the tuple causes the disassembly to get confused,
+as it doesn't realize that the POP opcode at 16 gets rid of the MARK at 0
+(so the output remains indented until the end). The protocol 1 pickle
+doesn't trigger this glitch, because the disassembler realizes that
+POP_MARK gets rid of the MARK. Doing a better job on the protocol 0
+pickle would require the disassembler to emulate the stack.
+
+>>> dis(pickle.dumps(T))
+ 0: ( MARK
+ 1: ( MARK
+ 2: l LIST (MARK at 1)
+ 3: p PUT 0
+ 6: ( MARK
+ 7: g GET 0
+ 10: t TUPLE (MARK at 6)
+ 11: p PUT 1
+ 14: a APPEND
+ 15: 0 POP
+ 16: 0 POP
+ 17: g GET 1
+ 20: . STOP
+>>> dis(pickle.dumps(T, 1))
+ 0: ( MARK
+ 1: ] EMPTY_LIST
+ 2: q BINPUT 0
+ 4: ( MARK
+ 5: h BINGET 0
+ 7: t TUPLE (MARK at 4)
+ 8: q BINPUT 1
+ 10: a APPEND
+ 11: 1 POP_MARK (MARK at 0)
+ 12: h BINGET 1
+ 14: . STOP
+"""
+
+__test__ = {'dissassembler_test': _dis_test,
+ }
+
+def _test():
+ import doctest
+ return doctest.testmod()
+
+if __name__ == "__main__":
+ _test()
diff --git a/Lib/test/test_pickletools.py b/Lib/test/test_pickletools.py
new file mode 100644
index 0000000..2e2fe50
--- /dev/null
+++ b/Lib/test/test_pickletools.py
@@ -0,0 +1,3 @@
+import pickletools
+from test import test_support
+test_support.run_doctest(pickletools)