mirror of
https://github.com/isledecomp/isle-portable.git
synced 2024-11-26 01:17:55 -05:00
improved reccomp reliability even further, added html summary generator
Will probably host the summary somewhere for easy access
This commit is contained in:
parent
ff85548c85
commit
66dd2cdeb9
2 changed files with 306 additions and 19 deletions
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@ -10,11 +10,13 @@
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def print_usage():
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print('Usage: %s [options] <original-binary> <recompiled-binary> <recompiled-pdb> <decomp-dir>\n' % sys.argv[0])
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print('\t-v, --verbose <offset>\t\t\tPrint assembly diff for specific function (original file\'s offset)')
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print('\t-h, --html <output-file>\t\t\tGenerate searchable HTML summary of status and diffs')
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sys.exit(1)
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positional_args = []
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verbose = None
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skip = False
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html = None
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for i, arg in enumerate(sys.argv):
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if skip:
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@ -28,6 +30,9 @@ def print_usage():
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if flag == 'v' or flag == '-verbose':
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verbose = int(sys.argv[i + 1], 16)
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skip = True
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elif flag == 'h' or flag == '-html':
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html = sys.argv[i + 1]
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skip = True
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else:
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print('Unknown flag: %s' % arg)
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print_usage()
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@ -100,13 +105,16 @@ def get_wine_path(fn):
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def get_unix_path(fn):
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return subprocess.check_output(['winepath', fn]).decode('utf-8').strip()
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def get_file_in_script_dir(fn):
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return os.path.join(os.path.dirname(os.path.abspath(sys.argv[0])), fn)
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# Declare a class that parses the output of cvdump for fast access later
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class SymInfo:
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funcs = {}
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lines = {}
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def __init__(self, pdb, file):
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call = [os.path.join(os.path.dirname(os.path.abspath(sys.argv[0])), 'cvdump.exe'), '-l', '-s']
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call = [get_file_in_script_dir('cvdump.exe'), '-l', '-s']
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if os.name != 'nt':
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# Run cvdump through wine and convert path to Windows-friendly wine path
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@ -192,23 +200,31 @@ def get_recompiled_address(self, filename, line):
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md = Cs(CS_ARCH_X86, CS_MODE_32)
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def sanitize(file, mnemonic, op_str):
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offsetplaceholder = '<OFFSET>'
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if mnemonic == 'call' or mnemonic == 'jmp':
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# Filter out "calls" because the offsets we're not currently trying to
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# match offsets. As long as there's a call in the right place, it's
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# probably accurate.
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op_str = ''
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op_str = offsetplaceholder
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else:
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# Filter out dword ptrs where the pointer is to an offset
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def filter_out_ptr(ptype, op_str):
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try:
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start = op_str.index('dword ptr [') + 11
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ptrstr = ptype + ' ptr ['
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start = op_str.index(ptrstr) + len(ptrstr)
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end = op_str.index(']', start)
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# This will throw ValueError if not hex
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inttest = int(op_str[start:end], 16)
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op_str = op_str[0:start] + op_str[end:]
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return op_str[0:start] + offsetplaceholder + op_str[end:]
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except ValueError:
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pass
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return op_str
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# Filter out dword ptrs where the pointer is to an offset
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op_str = filter_out_ptr('dword', op_str)
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op_str = filter_out_ptr('word', op_str)
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op_str = filter_out_ptr('byte', op_str)
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# Use heuristics to filter out any args that look like offsets
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words = op_str.split(' ')
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@ -216,7 +232,7 @@ def sanitize(file, mnemonic, op_str):
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try:
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inttest = int(word, 16)
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if inttest >= file.imagebase + file.textvirt:
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words[i] = ''
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words[i] = offsetplaceholder
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except ValueError:
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pass
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op_str = ' '.join(words)
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@ -230,11 +246,15 @@ def parse_asm(file, addr, size):
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# Use heuristics to disregard some differences that aren't representative
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# of the accuracy of a function (e.g. global offsets)
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mnemonic, op_str = sanitize(file, i.mnemonic, i.op_str)
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if op_str is None:
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asm.append(mnemonic)
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else:
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asm.append("%s %s" % (mnemonic, op_str))
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return asm
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function_count = 0
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total_accuracy = 0
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htmlinsert = []
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for subdir, dirs, files in os.walk(source):
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for file in files:
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@ -274,15 +294,42 @@ def parse_asm(file, addr, size):
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function_count += 1
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total_accuracy += ratio
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if verbose == addr:
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if verbose == addr or html:
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udiff = difflib.unified_diff(origasm, recompasm)
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if verbose == addr:
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for line in udiff:
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print(line)
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print()
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print()
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if html:
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htmlinsert.append('{address: "%s", name: "%s", matching: %s, diff: "%s"}' % (hex(addr), recinfo.name, str(ratio), '\\n'.join(udiff).replace('"', '\\"').replace('\n', '\\n')))
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except UnicodeDecodeError:
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break
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def gen_html(html, data):
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templatefile = open(get_file_in_script_dir('template.html'), 'r')
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if not templatefile:
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print('Failed to find HTML template file, can\'t generate HTML summary')
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return
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templatedata = templatefile.read()
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templatefile.close()
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templatedata = templatedata.replace('/* INSERT DATA HERE */', ','.join(data), 1)
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htmlfile = open(html, 'w')
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if not htmlfile:
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print('Failed to write to HTML file %s' % html)
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return
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htmlfile.write(templatedata)
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htmlfile.close()
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if html:
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gen_html(html, htmlinsert)
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if function_count > 0:
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print('\nTotal accuracy %.2f%% across %i functions' % (total_accuracy / function_count * 100, function_count))
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240
tools/reccomp/template.html
Normal file
240
tools/reccomp/template.html
Normal file
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@ -0,0 +1,240 @@
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<!DOCTYPE html>
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<html>
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<head>
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<title>Decompilation Status</title>
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<style>
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body {
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background: #202020;
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color: #f0f0f0;
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font-family: sans-serif;
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}
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h1 {
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text-align: center;
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}
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.main {
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width: 800px;
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max-width: 100%;
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margin: auto;
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}
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#search {
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width: 100%;
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box-sizing: border-box;
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background: #303030;
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color: #f0f0f0;
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border: 1px #f0f0f0 solid;
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padding: 0.5em;
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border-radius: 0.5em;
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}
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#search::placeholder {
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color: #b0b0b0;
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}
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#listing {
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width: 100%;
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border-collapse: collapse;
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font-family: monospace;
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}
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.funcrow:hover {
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background: #404040 !important;
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}
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.funcrow:nth-child(odd), #listing th {
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background: #282828;
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}
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.funcrow:nth-child(even) {
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background: #383838;
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}
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#listing td, #listing th {
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border: 1px #f0f0f0 solid;
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padding: 0.5em;
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}
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.diffneg {
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color: #FF8080;
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}
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.diffpos {
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color: #80FF80;
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}
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#sortind {
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margin: 0 0.5em;
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}
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</style>
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<script>
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var data = [/* INSERT DATA HERE */];
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function formatAsm(asm) {
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var lines = asm.split('\n');
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for (var i = 0; i < lines.length; i++) {
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var l = lines[i];
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if (l.length > 0) {
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if (l[0] == '-') {
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lines[i] = '<span class="diffneg">' + l + '</span>';
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} else if (l[0] == '+') {
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lines[i] = '<span class="diffpos">' + l + '</span>';
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}
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}
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}
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return lines.join('<br>');
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}
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function rowClick() {
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if (this.dataset.expanded === 'true') {
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this.nextSibling.remove();
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this.dataset.expanded = false;
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} else {
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var row = this.parentNode.insertBefore(document.createElement('tr'), this.nextSibling);
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row.classList.add('diff');
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var decCel = row.appendChild(document.createElement('td'));
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decCel.colSpan = 3;
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var diff = data[this.dataset.index].diff;
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if (diff == '') {
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diff = '<center><i>Identical function - no diff</i></center>';
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} else {
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diff = formatAsm(diff);
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}
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decCel.innerHTML = diff;
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this.dataset.expanded = true;
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}
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}
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function closeAllDiffs() {
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const collection = document.getElementsByClassName("diff");
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for (var ele of collection) {
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ele.remove();
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}
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}
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function filter(text) {
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closeAllDiffs();
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var ltext = text.toLowerCase();
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const collection = document.getElementsByClassName("funcrow");
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var searchCount = 0;
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for (var ele of collection) {
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var eledata = data[ele.dataset.index];
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if (text == ''
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|| eledata.address.toLowerCase().includes(ltext)
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|| eledata.name.toLowerCase().includes(ltext)) {
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ele.style.display = '';
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searchCount++;
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} else {
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ele.style.display = 'none';
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}
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}
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}
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var lastSortedCol = -1;
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var ascending = true;
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function sortByColumn(column) {
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closeAllDiffs();
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if (column == lastSortedCol) {
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ascending = !ascending;
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}
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lastSortedCol = column;
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const collection = document.getElementsByClassName("funcrow");
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var newOrder = [];
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for (var ele of collection) {
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var inserted = false;
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for (var i = 0; i < newOrder.length; i++) {
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var cmpEle = newOrder[i];
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var ourCol = ele.childNodes[column];
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var cmpCol = cmpEle.childNodes[column];
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if ((cmpCol.dataset.value > ourCol.dataset.value) == ascending) {
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newOrder.splice(i, 0, ele);
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inserted = true;
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break;
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}
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}
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if (!inserted) {
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newOrder.push(ele);
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}
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}
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for (var i = 1; i < newOrder.length; i++) {
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newOrder[i - 1].after(newOrder[i]);
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}
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var sortIndicator = document.getElementById('sortind');
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if (!sortIndicator) {
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sortIndicator = document.createElement('span');
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sortIndicator.id = 'sortind';
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}
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sortIndicator.innerHTML = ascending ? '▲' : '▼';
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var th = document.getElementById('listingheader').childNodes[column];
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th.appendChild(sortIndicator);
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}
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document.addEventListener("DOMContentLoaded", () => {
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var listing = document.getElementById('listing');
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const headers = listing.getElementsByTagName('th');
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var headerCount = 0;
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for (const header of headers) {
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header.addEventListener('click', function(){
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sortByColumn(this.dataset.column, true);
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});
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header.dataset.column = headerCount;
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headerCount++;
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}
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data.forEach((element, index) => {
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var row = listing.appendChild(document.createElement('tr'));
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var addrCel = row.appendChild(document.createElement('td'));
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var nameCel = row.appendChild(document.createElement('td'));
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var matchCel = row.appendChild(document.createElement('td'));
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addrCel.innerHTML = addrCel.dataset.value = element.address;
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nameCel.innerHTML = nameCel.dataset.value = element.name;
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matchCel.innerHTML = (element.matching * 100).toFixed(2) + '%';
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matchCel.dataset.value = element.matching;
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row.classList.add('funcrow');
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row.addEventListener('click', rowClick);
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row.dataset.index = index;
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row.dataset.expanded = false;
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});
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var search = document.getElementById('search');
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search.addEventListener('input', function (evt) {
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filter(search.value);
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});
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sortByColumn(0);
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});
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</script>
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</head>
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<body>
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<div class="main">
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<h1>Decompilation Status</h1>
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<input id="search" type="search" placeholder="Search for offset or function name...">
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<br>
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<br>
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<table id="listing">
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<tr id='listingheader'><th style='width: 20%'>Address</th><th style="width:60%">Name</th><th style='width: 20%'>Matching</th></tr>
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</table>
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</div>
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</body>
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</html>
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