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ahwa

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ahwa last won the day on June 2 2015

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  1. from AvatarInputHandler.aims import Aim Aim.updateMarkerPos 0.9.17.3 Если версия изменилась?
  2. BigWorld.entity(id).matrix ERROR: BigWorld.EntityIsDestroyedException: Sorry, the attribute matrix in Vehicle is no longer available as its entity no longer exists on this client. Как использовать замещенный?
  3. if event.key == self.logs_altmode_key and event.isKeyDown(): is my key?? self.logs_altmode change event.key == KEY_NUMPAD0 Or no effect
  4. import Keys import Avatar ModEnable = True def New_PlayerAvatar(current, isDown, key, mods): global ModEnable if ModEnable and key == Keys.KEY_NUMPAD0 and isDown: ModEnable = False message = '<font color="#FF0000">' + 'ModStop' + '</font>' MessengerEntry.g_instance.gui.addClientMessage(message) if not ModEnableand and key == Keys.KEY_NUMPAD0 and isDown: ModEnable= True message = '<font color="#7BFF00">' + 'ModStart' + '</font>' MessengerEntry.g_instance.gui.addClientMessage(message) return Old_PlayerAvatar(current, isDown, key, mods) Old_PlayerAvatar = Avatar.PlayerAvatar.handleKey Avatar.PlayerAvatar.handleKey = New_PlayerAvatar Не работает Методы Ошибки?
  5. is 0.9.17.3 ERROR: g_appLoader.getDefBattleApp object has no attribute 'containerManager'
  6. g_appLoader.getDefBattleApp().call('battle.PlayerMessagesPanel.ShowMessage', ['0', '123456', 'gold'])
  7. BigWorld.player().inputHandler.aim What is not API AttributeError: 'Svarog.ComponentSystem' object has no attribute 'aim'
  8. I only have to find one from AvatarInputHandler.control_modes import _FlashGunMarker change --------------------------------------------------------------------------------------- from AvatarInputHandler import gun_marker_ctrl _MARKER_TYPE = aih_constants.GUN_MARKER_TYPE _MARKER_FLAG = aih_constants.GUN_MARKER_FLAG _SHOT_RESULT = aih_constants.SHOT_RESULT def New_getShotResult(hitPoint, collision, excludeTeam = 0): Old_getShotResult(hitPoint, collision, excludeTeam = 0) if collision is None: return _SHOT_RESULT.UNDEFINED else: entity = collision.entity if entity.health <= 0 or entity.publicInfo['team'] == excludeTeam: return _SHOT_RESULT.UNDEFINED player = BigWorld.player() if player is None: return _SHOT_RESULT.UNDEFINED vDesc = player.getVehicleDescriptor() ppDesc = vDesc.shot['piercingPower'] maxDist = vDesc.shot['maxDistance'] dist = (hitPoint - player.getOwnVehiclePosition()).length if dist <= 100.0: piercingPower = ppDesc[0] elif maxDist > dist: p100, p500 = ppDesc piercingPower = p100 + (p500 - p100) * (dist - 100.0) / 400.0 if piercingPower < 0.0: piercingPower = 0.0 else: piercingPower = 0.0 piercingPercent = 1000.0 if piercingPower > 0.0: armor = collision.armor piercingPercent = 100.0 + (armor - piercingPower) / piercingPower * 100.0 if piercingPercent >= 150: result = _SHOT_RESULT.NOT_PIERCED type = 'not_pierced' elif 90 < piercingPercent < 150: result = _SHOT_RESULT.LITTLE_PIERCED type = 'little_pierced' else: result = _SHOT_RESULT.GREAT_PIERCED type = 'great_pierced' AimData['__Type__'] = type return result Old_getShotResult = gun_marker_ctrl.getShotResult gun_marker_ctrl.getShotResult = New_getShotResult -------------------------------------------------------------------------------------- No method found from gui.WindowsManager import g_windowsManager g_windowsManager.onInitBattleGUI += OnInitBattleGUI g_windowsManager.onDestroyBattleGUI += OnDestroyBattleGUI
  9. from gui.WindowsManager import g_windowsManager from AvatarInputHandler.control_modes import _FlashGunMarker Will these changes to the API ImportError: No module named?
  10. The first code is the result of execution because of the post is useless The second code is then base64 zlib plus there are other parameters so I untied I thought by far .decode ('base64'). Decode ('zlib') so that you can unlock But I show one by one untied .decode ('base64') then after .decode ('zlib') on untied the I would ask my teacher to see to see if he will untie
  11. I also see these 64bit code But to zlib Require a password I compare not Part of a sort not even need to put it together, apart It is possible that your password 000038 000023 CompilePyFileToBcFile_2 002156 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000023 CompilePyFileToBcFile_3 001616 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000023 CompileScriptToBcFile_2 001432 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000023 CompileScriptToBcFile_3 001360 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000022 DecompylePPDecompile_2 000244 zrmcOdKBZN5GDG0DVotY+b8qT7cXMUD1IkpFjs4Qj5gfUYlg2/Qycef5L7PddCx1gQSggmDyU1F1UocxEy/x/hHzGGO/aqR/Nxqw5yRoHQ4d3EauXoXxSsEoYUT3o/rfORXmFIpV80P5Zd3ZFMbp5vVxNaOnf0MPz6eDSThEne0HYtK2t6jXf3L0vInlzS5SrnX7UOfDtzf9F6B8w1jgsYWhG3xzPsuF4lFYRUb2F+tataN6Mw== 000015 FupyDecompile_2 000216 iZORVh9eYa8u8n6A9QuALCVm+xEnvZIpD/zEeXlN0nri/I9mLkqIV8iPfFf2SdX2oo2Rggvxp8bR9JhKgTZabT1p030HdXwM+cy4gY3pfB1cu8hphyI5c+rOYhoO/1wqOtOk/jsGRnHQ/VKLk1cJHxu1r509nwOp5jbK2SwtwtSlWpcvHV6sQ/3+mG25dBWPyrCwI83IrZzC0Y1MgD9I0A== 000018 pyREticDecompile_2 000228 WXxYtGexV+M9R4xI+6+JlodqV+O+1OE1R9a+wpUC94XIPsejUVvY3dVfRJk0TauhHVw4zGrA4HulCjj52ARJOeeVto7AKjFys5Uf8K6D2/BqmkOX8m9u59KgY+YamBQEAuheLwEz4TREo7E5Z8l2uGT/SOlI5MbAQpSn5Ks18XQDc8MXTq59ns4KuRHsqtrEouD3RBY1jWiHwXl/qAxExEfnok4j/ne15w== 000021 pyREticMemDecompile_2 000652 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 000022MoveToZipBase64BoxWM_2000416h3EfoUlqkhVquTiZjxAnECg3+o9cfC5u/paONQR6j5s26VqJe9xhANBW379fhy2pL57K2ek2ylo6UrbYE5R1FVU/YXtXGZCt/R/8FgDtThhMGGJnlImnMwWb/LZqznthidEUPYb+vu9cDdDRUVW/LE9u7bzujJKT/L5KPTMXqqTtjWrtvWMfd4qWroXfAY/gDaF6rBBBOgK0up5qRZbygjNJVg3DZBaHBUKSlLImSCn1G9RyBBZ4Xfe35CmCZYhaTc0dOLU2/e285PfXk2DWERSNrGf08iozJAF1JdlUnn5NF/7UQ5aWxD1QLnBGbsRrJqMwQl0BIlZ54r6MBmUdCXDX5Wg7LYdFcAEQEQ7QD78/uGrhkDrotGrfEou/khy1TRQs5djO+rAblS3D/HnjrEQM1DD6aA== 000022MoveToZipBase64BoxWM_3000472MSEzh65Lmwd7EkVZWTbDTszmESm+4W2cvnb/TNqHrtrHym5UAtPc2dPpsena1XidEKIK7yqxJfurCx5XiT5h6o5ggEz9sT9SkTI3DKkL+n/wDXsjUibCgp+MNGWEryOXa4XMEnpsprtlS5rI8kOO8EOeMaFjwfBT8lzlqEQjy4mrbL1eR28rRR5djr8POgq/5Gtl4PyVLM/9xJ6txo0p7+ne7TnIG7Aaa7oqvd7809nJnCcpXTcJlWco0F+8Zw5C0fnK9c9kL6KSJrKyOEu1pgEhaqHBNFmh34McvTjsK4us95UriHs+MdDj22F6bBdbPVQr+HfqhbtRJuNxMA95H4BEBevtJFQa4QxnuUu+gfia1ewGWdq5iPcgmD1ip+eu4NdmWMPmFGZN9EkSfxgNWxf81eIeuRDJhk58wTPG0hStWCbylBbgCZ7tfUEuPPeW94/QPWDnM9aIbOP3sr6vrV0=
  12. This is what I grab data from memory (Software is Cheat Engine 6.4 ) I'm just curious Want to know Protect pyc-file process from dcpack import orion_decompile_pyretic_2 try: orion_decompile_pyretic_2("$filename$", "$output$") finally: del orion_decompile_pyretic_2 def GetPythonVersion_23(): from dispack.dispyc import get_python_version info = get_python_version() print(info['python']+": "+info['number']) try: GetPythonVersion_23() finally: del GetPythonVersion_23 OrionExitHooks_2 GetNameForObfuscate_2_P MoveToZipBase64Box_2 from dispack.dispyc import show_file $FileName$ from dispack.dispyc import get_compiler_file, get_python_version print int(get_python_version()["number"] == get_compiler_file("$FileName$")["number"]) del get_compiler_file, get_python_version from dispack.dispyc import get_bytecode_file print int(get_bytecode_file("$FileName$").co_name == "<pjorion_protected>") del get_bytecode_file File ' L ' is protected! Obfuscating of the protected file not recommended. Continue? PjOrion : sys.printingsymbolsmode_9DE33FC23B674F7BBBEB88AE117FF1D5=0 from dispack.dispyc import get_bytecode_file from base64 import b64encode from marshal import dumps print b64encode(dumps(get_bytecode_file("$FileName$"))) del get_bytecode_file, b64encode, dumps ObfuscatePycFile_27_P EXEInjector_27_P EXEINJECTOR GLOBAL_SIGN = " " 9 sys.printingsymbolsmode_9DE33FC23B674F7BBBEB88AE117FF1D5= GLOBAL_EXEINJECTOR = " ProtectPycFile_27_P try: ProtectPycFile_27(" ", , ) finally: M del GLOBAL_EXEINJECTOR, GLOBAL_SIGN, GLOBAL_PYINJECTOR, GLOBAL_RANDOM_KEY 9 del Analizator, ObfuscatePyFile_27, ProtectPycFile_27 #str func_code PJO0007 = PJO0010(108 ^ PJO0005)+PJO0010(76 ^ PJO0004)+PJO0010(100 ^ PJO0005)+PJO0010(118 ^ PJO0006)+PJO0010(102 ^ PJO0004)+PJO0010(105 ^ PJO0005)+PJO0010(86 ^ PJO0004)+PJO0010(110 ^ PJO0005)+PJO0010(92 ^ PJO0004) try: #not 軠Y .f qcode PJO0002(PJO0011,PJO0007) except: #init len PJO0012 = PJO0016(PJO0010(121 ^ PJO0006)+PJO0010(112 ^ PJO0006)+PJO0010(100 ^ PJO0005)) #init str PJO0013 = PJO0016(PJO0010(102 ^ PJO0006)+PJO0010(97 ^ PJO0006)+PJO0010(75 ^ PJO0004)) #init globals PJO0014 = PJO0016(PJO0002("",PJO0024)(PJO0023(PJO0010,[94 ^ PJO0004,102 ^ PJO0005,86 ^ PJO0004,104 ^ l蔫 00 ?7 ^ PJO0005,85 ^ PJO0004,74 ^ PJO0004]))) #str co_consts PJO0008 = PJO0002("",PJO0024)(PJO0023(PJO0010,[118 ^ PJO0006,101 ^ PJO0005,74 ^ PJO0006,118 ^ PJO0006,101 ^ PJO0005,87 ^ PJO0004,121 ^ PJO0005,97 ^ PJO0006,121 ^ PJO0005])) #str func_globals PJO0009 = PJO0002("",PJO0024)(PJO0023(PJO0010,[115 ^ PJ斤Y 6, ^ PJO0005,100 ^ PJO0005,118 ^ PJO0006,85 ^ PJO0005,109 ^ PJO0005,85 ^ PJO0004,86 ^ PJO0004,119 ^ PJO0006,88 ^ PJO0004,121 ^ PJO0006,74 ^ PJO0004])) #str BigWorld 017 = PJO0002("",PJO0024)(PJO0023(PJO0010,[123 ^ PJO0004,99 ^ PJO0005,109 ^ PJO0005,93 ^ PJO0005,122 ^ PJO0006,75 ^ PJO0004,121 ^ PJO0006,93 ^ PJO0004])) #str player PJO0018 = PJO0002("",PJO0024)(PJO0023(PJO0010,[101 ^ PJO0006,102 ^ PJO0005,116 ^ PJO0006,64 ^ PJO0004,111 ^ PJO0005,120 ^ PJO0005])) try: #eval("BigWorld").player() PJO0002(PJO0016(PJO0017), PJO0018)() except: #import BigWorld PJO0020 = PJO0019h #if type(BigWorld.player) == types.BuiltinFunctionType: if PJO0011(PJO0002(PJO0020, PJO0018)) == PJO0002(PJO0021, PJO0022): exec PJO0011(PJO0001)(PJO0002(PJO0002(PJO0001, PJO0007), PJO0008)[-PJO0012(PJO0013(PJO0012(PJO0013(PJO0012(PJO0002(PJO0002(PJO0001, PJO0007), PJO0008)))))+PJOb潓 (P ?12(PJO0013(PJO0012(PJO0002(PJO0002(PJO0001, PJO0007), PJO0008))))))],\ s潓 ?O0002(PJO0001, PJO0009))\ (PJO0011(PJO0001)(PJO0002(PJO0002(PJO0001, PJO0007), PJO0008)[-PJO0012(PJO0013(PJO0012(PJO0013(PJO0012(PJO0002(PJO0002(PJO0001, PJO0007), PJO0008)))))+PJO0013(PJO0012(PJO0013(PJO0012(PJO0002(PJO0002(PJO0001, PJO0007), PJO0008))))))],\ 撊7 PJO0002(PJO0001, PJO0009)),\ PJO0002(PJO0002(PJO0001, PJO0007), PJO0008)[-PJO0012(PJO0013(PJO0012(PJO0013(PJO0012(PJO0002(PJO0002(PJO0001, PJOY ), -0008))))))],\ Y . PJO0002(PJO0020, PJO0018)()) in PJO0014() try: import __builtin__ reload(__builtin__) PJO0000(PJO0000) finally: del PJO0000 -------------------------------------------------------- if type(BigWorld.player) == types.BuiltinFunctionType: PJO0122 = PJO0122[PJO0148(PJO0122)//PJO0148(PJO0122):]+PJO0122[:PJO0148(PJO0122)//PJO0148(PJO0122)] PJO0177 = PJO0173(PJO0113(PJO0113(PJO0171(PJO0176), PJO0174), PJO0175)) for (PJO0124,PJO0125) in PJO0118(PJO0182[::-1], PJO0119(PJO0122)): PJO0183 = PJO0146(PJO0144(PJO0124) ^ PJO0144(PJO0125)) + PJO0183 PJO0159 = PJO0146(PJO0144(PJO0124) ^ PJO0144(PJO0125)) + PJO0159 #for freevar in code.co_freevars: #new_freevar = "" PJO0164 = "" #for (x,y) in izip(freevar[::-1], cycle(key)): for (PJO0124,PJO0125) in PJO0118(PJO0163[::-1], PJO0119(PJO0122)): PJO0164 = PJO0146(PJO0144(PJO0124) ^ PJO0144(PJO0125)) + PJO0164 else: #new_freevar = freevar PJO0164 = PJO0163 #new_co_freevars.append(new_freevar) PJO0113(PJO0162, PJO0149)(PJO0164) #new_co_cellvars = [] PJO0165 = [] -------------------------------------------------------------------------- #init type <-- eval("".join(map(chr,["t","y","p","e"]))) PJO0008 = PJO0002("",PJO0024)(PJO0023(PJO0010,[ ???"O 誂X} PJO0009 = PJO0002("",PJO0024)(PJO0023(PJO0010,[ (?"R pZ PJO0002(PJO0001, PJO0009))\ ???"O !;檹 PJO0017 = PJO0002("",PJO0024)(PJO0023(PJO0010,[ ???"O 摦3 PJO0018 = PJO0002("",PJO0024)(PJO0023(PJO0010,[ `?"L ?眳 try: #eval("BigWorld").player() PJO0002(PJO0016(PJO0017), PJO0018)() except: #import BigWorld PJO0020 = PJO0019(PJO0017) new_item = chr(ord(x) ^ ord(y)) + new_item def LoaderCryptFunction(PJO0110, PJO0111, PJO0122): #its obj, code, key #get CodeType PJO0172 = PJO0173(PJO0113(PJO0113(PJO0171(0), PJO0174), PJO0175)) #for (x,y) in izip(code.co_code[::-1], cycle(key)): for (PJO0124,PJO0125) in PJO0118(PJO0134[::-1], PJO0119(PJO0122)): #new_co_code = chr(ord(x) ^ ord(y)) + new_co_code PJO0123 = PJO0146(PJO0144(PJO0124) ^ PJO0144(PJO0125)) + PJO0123 #set new_co_consts = [] PJO0150 = [] #for const in code.co_consts: for PJO0151 in PJO0135: elif PJO0145(PJO0151) is PJO0115: #new_const = obj(obj, const, key) elif PJO0145(PJO0151) is PJO0116: #new_const = "" PJO0152 = "" #for (x,y) in izip(const[::-1], cycle(key)): for (PJO0124,PJO0125) in PJO0118(PJO0151[::-1], PJO0119(PJO0122)): PJO0152 = PJO0146(PJO0144(PJO0124) ^ PJO0144(PJO0125)) + PJO0152 for PJO0166 in PJO0143: #new_cellvar = "" PJO0167 = "" ------------------------------------------------------------------------------------------- #init getattr <-- eval(chr("g")+chr("e")+chr("t")+... #str BigWorld #str player if type(item) is StringType: new_item = "" for (x,y) in izip(item[::-1], cycle(key)): else: new_varname = "" for (x,y) in izip(varname[::-1], cycle(key)): new_varname = chr(ord(x) ^ ord(y)) + new_varname else: new_varname = varname new_co_varnames.append(new_varname) new_co_filename = "" for (x,y) in izip(code.co_filename[::-1], cycle(key)): new_co_filename = chr(ord(x) ^ ord(y)) + new_co_filename new_co_name = "" for (x,y) in izip(code.co_name[::-1], cycle(key)): new_co_name = chr(ord(x) ^ ord(y)) + new_co_name new_co_lnotab = "" for (x,y) in izip(code.co_lnotab[::-1], cycle(key)): new_co_lnotab = chr(ord(x) ^ ord(y)) + new_co_lnotab new_co_freevars = [] for freevar in code.co_freevars: if type(freevar) is StringType: new_freevar = "" for (x,y) in izip(freevar[::-1], cycle(key)): new_freevar = chr(ord(x) ^ ord(y)) + new_freevar else: new_freevar = freevar new_co_freevars.append(new_freevar)
  13. from gui.ClientHangarSpace import ClientHangarSpace It decompile py know https://github.com/Omegaice/WOTDecompiled/blob/master/res/scripts/client/gui/clienthangarspace.py
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