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53 lines
2.2 KiB
Python
53 lines
2.2 KiB
Python
# Copyright (c) 2016-2018, 2021-2022 by Rocky Bernstein
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"""
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Python 2.2 bytecode massaging.
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This massages tokenized 2.2 bytecode to make it more amenable for
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grammar parsing.
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"""
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import uncompyle6.scanners.scanner23 as scan
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# from uncompyle6.scanners.scanner26 import ingest as ingest26
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# bytecode verification, verify(), uses JUMP_OPs from here
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from xdis.opcodes import opcode_22
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JUMP_OPS = opcode_22.JUMP_OPS
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# We base this off of 2.3 instead of the other way around
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# because we cleaned things up this way.
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# The history is that 2.7 support is the cleanest,
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# then from that we got 2.6 and so on.
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class Scanner22(scan.Scanner23):
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def __init__(self, show_asm=False):
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scan.Scanner23.__init__(self, show_asm)
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self.opc = opcode_22
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self.opname = opcode_22.opname
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self.version = (2, 2)
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self.genexpr_name = '<generator expression>'
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self.parent_ingest = self.ingest
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self.ingest = self.ingest22
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return
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def ingest22(self, co, classname=None, code_objects={}, show_asm=None):
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"""
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Create "tokens" the bytecode of an Python code object. Largely these
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are the opcode name, but in some cases that has been modified to make parsing
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easier.
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returning a list of uncompyle6 Token's.
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Some transformations are made to assist the deparsing grammar:
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- various types of LOAD_CONST's are categorized in terms of what they load
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- COME_FROM instructions are added to assist parsing control structures
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- operands with stack argument counts or flag masks are appended to the opcode name, e.g.:
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* BUILD_LIST, BUILD_SET
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* MAKE_FUNCTION and FUNCTION_CALLS append the number of positional arguments
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- EXTENDED_ARGS instructions are removed
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Also, when we encounter certain tokens, we add them to a set which will cause custom
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grammar rules. Specifically, variable arg tokens like MAKE_FUNCTION or BUILD_LIST
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cause specific rules for the specific number of arguments they take.
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"""
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tokens, customize = self.parent_ingest(co, classname, code_objects, show_asm)
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tokens = [t for t in tokens if t.kind != 'SET_LINENO']
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return tokens, customize
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