--- Form Personalization data extraction - --------------
----------------------------------------------------------
Select FPT.APPLICATION_NAME
, FF.FORM_NAME SOURCE_FORM_NAME, FFT.USER_FORM_NAME, FFT.DESCRIPTION FORM_DESCRIPTION
, FFF.FUNCTION_NAME, FFFT.USER_FUNCTION_NAME, FFFT.DESCRIPTION FUNCTION_DESCRIPTION
, FFCR.SEQUENCE PERSONALIZE_RULE_SEQUENCE, FFCR.DESCRIPTION PERSONALIZE_RULE_DESCRIPTION
, DECODE(FFCR.RULE_TYPE,'F','Form','A','Function') PERSONALIZE_RULE_LEVEL
, FFCR.ENABLED PERSONALIZE_RULE_ENABLED
, FFCR.TRIGGER_EVENT PERSONALIZE_RULE_EVENT, FFCR.TRIGGER_OBJECT
, FFCR.CONDITION PERSONALIZE_RULE_CONDITION
, DECODE(FFCS.LEVEL_ID,10,'Industry',20,'Site',30,'Responsibility',40,'User') CONTEXT_LEVEL
, DECODE(FFCS.LEVEL_ID,10,'',20,'',30,FRT.RESPONSIBILITY_NAME,40,FU.USER_NAME) CONTEXT_LEVEL_VALUE
, FFCA.SEQUENCE ACTION_SEQUENCE
, DECODE(FFCA.ACTION_TYPE,'P','Property','M','Message','B','Builtin','S','Menu','') ACTION_TYPE
, FFCA.SUMMARY ACTION_DESCRIPTION
, FFCA.ENABLED ACTION_ENABLED
, DECODE(FFCA.LANGUAGE,'*','All','US','American English','AR','Arabic') ACTION_LANGUAGE
, DECODE(FFCA.ACTION_TYPE,'P',FFCA.OBJECT_TYPE,Null) ACTION_OBJECT_TYPE
, DECODE(FFCA.ACTION_TYPE,'P',FFCA.TARGET_OBJECT,Null) ACTION_TARGET_OBJECT
, DECODE(FFCA.ACTION_TYPE,'P',FFCPL.PROPERTY_NAME, Null) ACTION_PROPERTY_NAME
, DECODE(FFCA.ACTION_TYPE,'P',DECODE(FFCA.ARGUMENT_TYPE,'B'
, DECODE(FFCA.PROPERTY_VALUE,5,'False',4,'True')
, FFCA.PROPERTY_VALUE),Null) ACTION_PROPERTY_VALUE
, DECODE(FFCA.ACTION_TYPE,'M'
, DECODE(FFCA.MESSAGE_TYPE,'S','Show','E','Error','W','Warning','H','Hint','D','Debug'),Null) ACTION_MESSAGE_TYPE
, DECODE(FFCA.ACTION_TYPE,'M',FFCA.MESSAGE_TEXT,Null) ACTION_MESSAGE_TEXT
, DECODE(FFCA.ACTION_TYPE,'B',FFCA.BUILTIN_TYPE,Null) ACTION_BUILTIN_TYPE
, DECODE(FFCA.ACTION_TYPE,'B',FFCA.BUILTIN_ARGUMENTS,Null) ACTION_BUILTIN_ARGUMENTS
, DECODE(FFCA.ACTION_TYPE,'B',FFCA.MENU_ARGUMENT_LONG,Null) ACTION_BUILTIN_PARAMETERS
, DECODE(FFCA.ACTION_TYPE,'B',FFCA.MENU_ARGUMENT_SHORT,Null) ACTION_BUILTIN_CODE
,DECODE(FFCA.ACTION_TYPE,'S',FFCA.MENU_ENTRY,Null) ACTION_MENU_ENTRY
,DECODE(FFCA.ACTION_TYPE,'S',FFCA.MENU_LABEL,Null) ACTION_MENU_LABEL
,DECODE(FFCA.ACTION_TYPE,'S',FFCA.MENU_SEPERATOR,Null) ACTION_MENU_SEPERATOR
,DECODE(FFCA.ACTION_TYPE,'S',FFCA.MENU_ENABLED_IN,Null) ACTION_MENU_BLOCKS_ENABLED
,DECODE(FFCA.ACTION_TYPE,'S',FFCA.MENU_ARGUMENT_SHORT,Null) ACTION_MENU_ICON_NAME
From FND_APPLICATION FP, FND_APPLICATION_TL FPT
, FND_FORM FF, FND_FORM_TL FFT
, FND_FORM_FUNCTIONS FFF, FND_FORM_FUNCTIONS_TL FFFT
, FND_FORM_CUSTOM_RULES FFCR , FND_FORM_CUSTOM_SCOPES FFCS, FND_RESPONSIBILITY_TL FRT, FND_USER FU
, FND_FORM_CUSTOM_ACTIONS FFCA , FND_FORM_CUSTOM_PROP_LIST FFCPL
Where ----------------APPLICATION
FP.APPLICATION_ID = FPT.APPLICATION_ID
And FPT.LANGUAGE = 'US'
------------------------ FORM
And FPT.APPLICATION_ID = FF.APPLICATION_ID
And FF.FORM_ID = FFT.FORM_ID
And FFT.LANGUAGE = 'US'
------------------------ FUNCTION
And FF.FORM_ID = FFF.FORM_ID
And FFF.FUNCTION_ID = FFFT.FUNCTION_ID
And FFFT.LANGUAGE = 'US'
------------------------ Custom Rule
And FF.Form_Name = FFCR.Form_Name
And FFCR.FUNCTION_NAME = FFF.FUNCTION_NAME
------------------------ Custom Scope
And FFCR.ID = FFCS.RULE_ID
And FFCS.LEVEL_VALUE = FRT.RESPONSIBILITY_ID(+)
And FRT.LANGUAGE(+) = 'US'
And FFCS.LEVEL_VALUE = FU.USER_ID(+)
------------------------ Custom Actions
And FFCR.ID = FFCA.RULE_ID
And DECODE(FFCA.ACTION_TYPE,'P',FFCA.PROPERTY_NAME,79) = FFCPL.PROPERTY_ID
And DECODE(FFCA.ACTION_TYPE,'P',FFCA.OBJECT_TYPE,'ITEM') = FFCPL.FIELD_TYPE
Order By FFT.APPLICATION_ID, FF.FORM_NAME,FFCR.FUNCTION_NAME
, FFCR.SEQUENCE, FFCS.LEVEL_ID, FFCS.LEVEL_VALUE, FFCA.SEQUENCE
-------------------------------------------------------------------------------------------------------------------
Sample Output from Backend (Toad)
![](data:image/png;base64,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9ToKbL1C587hoytRUB7PK5JNK3IXQ7+gntaLfj/x31np/66qWvcAjSFwAAAAC6IPUHnosHT30r0fvg8a9dlfHUty2fSyh9WwlSs0S7T32t37wIrV20kx6kryx0vU99ZVGN9AUAAACAtnhY+t65uX/npmtq8UDpmj/wvPhXvinnd33b8pn4Z66qb1WYI+a4nuq3eWWLC9U7Ek13v+v7lzPB/IbRQ38jXSpiupMe/sxVovTlqS8AAAAA9EOA9K2obrWfeOKJJ554Yrf2u75160j6VvAXntsKOJe/8FyPrdOfc27rLzxLYtXxt+I6ctLPf27k/YHn+hzXl0hfAAAAAOiUYOnbwHze25b0ha7JRfouwms3yE7/X9+pPvUdLUhfAAAAAJBpR/p28dQXeiD955z7DLWj7WsGraie+ros6KlvrBOkLwAAAABARTvS94maIX1hSeCp73hA+gIAAACATAvS12rWyUhfmBKZ/oXn69f+OLhSbZfr1/6I9AUAAAAAmVTpGwTSF6bE+PvWjHDro/d3ts998/Xng+vVFnXvzva5rY/eHzzbAAAAADBmkL4AkYy/b60R7mx9sLZyau2D05MB3QsAAAAAXnqVvgAAAAAAAAD9g/QFAAAAAACAiYP0BQAAAAAAgImD9AUAAAAAAICJ45S+zz37CwAAAAAAAIB8KcvSL33/7//r/wAAAAAAAADIkVs3/uiQvvs39/cfkr5llKUci2VkFDpTo3B5GfXKzihZP0aelUaisOU0On+Sdv3a5ePjo6D5YdL3mXM3Q0k5FjKCQmcKhcsL6pUdlIw8jwoSBcsJnT9Jrl+7XJbllevzC1/Mz+0cvv/RwTsXDt7aOHhjff/183dPntt/dfXglQ/2Xzh75/dXDsuy/OKPXyJ9wU7QD80/Q6FHA4XLC+qVHZSMPI8KEgXLCZ0PzzyQvhe+mH/5zXefXPnu0pfzi384vvDZfOPT43MfH6/uzM5uz89szt/cODq1tleW5Yf/8RnSF+w89+wvlH8ejWvKqKBweUG9soOSkedRQaJgOaHz4ZkH0vfczuEnV77b+Wp+8fPjSvSu7czPbs3Pbs7PbM7fvjB/c/3o9O/ulGX51vlPUqVv8cBcMdFqmcI1JVMoXF5Qr+ygZOR5VJAoWE7ofHjmgfR9/9JB9bx3/dP52s58bWe+ujV7+8L8jY3jijc3jt783V5Zli+d2UqSvkVRLH5v2KV+abVM4ZqSKRQuL6hXdlAy8jwqSBQsJ3Q+PPNA+r594d6Fz+Ybnx2f+/h4dXu2uj179LEn39g4Pr0+P7U+O70+P70+r6Tvs29cipe+dd27UL/mE+D6saY8XowUD5t1sBq3znRh9WC+5ZrfGLc6l5e2btb1pbCEsJGOSLmmDJ527xKF2HiuUL3O9Z3cmKzJj9A8nRbOXKsevCuqYZPgnWx+ad1mYaupsG4EifWylkbfh/Ip4Eqs6WF6HdJdyaaUQNmz6TCIFvMc1//Kt/QJ9KY3LmlLnihNtEJKXdOsi8rBpKxlfUtwq58spMW1emNyYjW7g873RivUwjXNumh652uOFZYWJlfS962Ng/VP5+uf3H/k++hjT1acWp+dXJ+fWp+dWp9V0vfp1zcjpW9h070NDbxoTe+Nmn5c0xmad11OhHFX5eSu0kcuLyFvswvavSPvM+2aJVyDckhCBb178a4YlAchA60XTr4YBRW0tyRkdPZ1IX17vqJOskN6K1m+CdQElkKLeY7o/9BPB00CNemNSCCJUm5BmK/fl3xytbVWRGKFpI3nutEudL5yC8J8/b5a7Hz91jR1qaTv6+fvru3Mz+0cn9s5Xujeitc27qvf0+fvlGX5y1ejpG8h6t7Gj0DH3ajpUyOnXt838rXDfNfbZK5D9A7rI71dShbUrymFzdJv77pLu3cJIST9eLsfLd78CB9CPRdOjsrbqz0kIaOzr916yQFr6itvdkk6pM+SZZ1AOaWJtJhnITZX/0ecRHGXHY1/EhXkPyiN+n25khO9VlDCQ8etCRTmyFtr67rRLnS+PqqUfXXX+cpp8uRK+p48t7/4OeeKdzdndfX72vrs1Pm9SOlbqHVv9W8WN2quSBqtIPeo16GmxV0jvV1KFjS+nea6oCB9rTFrDpEPNINXfrT0UDg5Km+v9pCEjM6+dus1kitq7h3SZ8myTqCc0kRazLMQm6v/I06iuMuOxj+J0viPO531+3IlJ3qtoISHjluzIV/te7hutAudL9Tayxg6X56pab9nHkjf367ePbv1l59zPrs1P7M1f6umfl9dP3p1ba8sy6de/ShG+hYP/2yzoHuLosziN9PqpbU6bxTA2/rWOdajXO+aXwZtPB3zJ0kWS2t+kmTwtMtLFL7G07STq9xCmYQROT+ayb0VTo5KiK23JAiThQZzreVqnlZIrJewcWtjW+ur39oydEjXJZtYAk0nQR3VT54XEVqT74rW5SQigfWjNK5IVGii5JCErLqmmYc0go9by+VTUwi5Q+QCeecI4UVXs2vofOuXcpW9DeNqA+u4fi3lsa48WOtSvVtJ35c+uHtmc352e/7oY0+e3Z6/t3V8Zmt++tL85Q9njz725Msfzl46f/TK6n609P3Ls9/Cp3vNVvOmQ060tyc0/oP60rqoJgazfsoWt07WbLZdrL9EURgXlJQnG12nPSKB8mQhAGVbhh5oxuPdTg+Fk6PyprqHJGR09rVbr5FcUbPukJ5LNoEExqVxDHn2Zka5QW8C5cuON0gS5Q1S/tIbrcaDa18Ra2lyFZRYOV3juT9pFzrf+6Wm3AN2vjKNch4q6fub9+6+fWF+ZnP+3ubxma35ma35u1uz05fmJzfnr1ycv7Axe/7c0UursU99nzl3syjKolDp3me6vFHT5D20uV3ONa+9cdb7rG6aJXq7lCzo4U+5dJ32iAQqP1rMOeP5aOnzb/BYRyLOytaTkNHZ18WfudLkUNhvUO2EMDLtkJ5LNoEExqVxDHm27lreclwCvZcdZQwkShmPPo3yxV+zr7i1vLkKSqwcvJxJTRrbum60C52fe+cr0yjnoZK+z53ZP70+f/vC/N2PZm9fnL99cf7W5uzk5vy1i7OXP5y98LvZb9YOXzqbIH0frHr/LzkLuvcZ4//Rsm4m6HLgOqWV6ZadaMaVp4HpSu4eeYneLiX1wrV7TRkq7cIh+gu9tQrKZlauGJQfYZWuC6eJSj5Je0hCRmdfSr2UpZE30voVNesO8TZDYskmnMCIDhHmd5HnoP4P/XQQEhh9PiqTtuSJ0m/BinDuBF1dU9ZSbkFOrGYjoZf31q8b7ULnK7egKXefne891vuJVh+spO+v39k7ef7w1MbszY2jNzeO3tg4PPXh7LX12cvrsxfPH/5m7fD51YMXz94u5T9zdefOzTt3JOn7zLmb5g8/F0VR173P2P4L6eKBmR3QeKswLDSD8ltmJEH9F7R0XIvX37WmqDu6uL3rJ+2uJTQ9JocqxCnU19sVrji9vTRI4ZRRCb3aQxJck4UKCn5czdMKidLXmkAzZuugnBNNYqfXIY23rK85xVwN5uoxTVZNurivNWMTsufaY2gCXUtYg4lI2pInyhWtEJV1F65Um8GnrOVKiPUtwa11spw9V7nlurji9FazB+h8YYI1KqHcz/Tb+fKx1kS5PFTS99Ov7p1cufX62u1Ta3sVr6/dfmV1/5XV/ZdX77y0svfi+7c//upuWZbPv7OdJH2fOXez/sPPRVE0dO8zths1yIL0O3IYBAqXF9QrOygZeR4VJAqWEzofnjl38/q1y+9dumr+Bq7Vnn//8vVrl1Olb8WDH362TOit1czvCgjfgZjM0t0x/mvKJNO+DIVrl9zbYLT1yj2x3W1ktCXLJYHkmUQNQp+dPJnr55ih85VMu/OvX7t87dber9/58ucvffyP/7bzD09v/vSXl/7uqY9+8tTmT57a/OkvL1X8/dPbP3/xs93bB61JX4GlbbXc4ZqSKRQuL6hXdlAy8jwqSBQsJ3Q+PHPu5vVrl/du7d65tXtn7/r+nRt3928eHOwd3rtzeHgwm92bzQ5ns8Pj46PvvptVIH3ByXPP/kLPMxR6NFC4vKBe2UHJyPOoIFGwnND58AzSFwaEQmcKhcsL6pUdlIw8jwoSBcsJnT9JupW+Qd9fqZNyLGQEhc4UCpcX1Cs7KBl5HhUkCpYTOn96dCt9AQAAAAAAAAan8x94jrCUY7G8bPfrnaFDwGKMwuVl1Cs7o2T9GHlWGonCltPo/OnZqH/XF5u8cU3J1ChcXka9sjNK1o+RZ6WRKGw5jc6fniF9sSGNa0qmRuHyMuqVnVGyfow8K41EYctpdP70DOmLDWlcUzI1CpeXUa/sjJL1Y+RZaSQKW06j86dnSF9sSOOakqlRuLyMemVnlKwfI89KI1HYchqdPz1rU/ru37m+f+c60hfTG9eUTI3C5WXUKzujZP0YeVbasIkqimLA1b1mDU8fs2tm8cDiI+vMQqNqZReVk54TwiViejZ26VsYJmwm+nzQLxHh2ftWfU7Xp7S5TXPFxcWlh2vu4ppCCczAxvyxpymcvqChTrwZsy7qcmUeFeFn5LaEJ1ruRsn6Me5rNZfc8uFEddGTsh/XdVgz2INZF9VHknh4qJmfehFrBR1S/2C1BhPqR790urkuxa2EMfkL7DgtA+mr30x035iX/jg/raze20Kui4j1pqcjq19TrDH0Y8tcgjjzFi6ooBFOrK+V84VDov2M3JbtRJuAUbJ+bJmlr3kHLzSbqyGtI60b0rcLS1kiYncTkL6tO5/8BXaclqX0rX8DqXFSLUbMb8zUx60OrV+afhqD1lPRvLF2fca4/MjxW4MxEyXsURg3g+/ONLd3lGCEJhfOGrawlzgn5jRvD8SFqvEzcluqE20aRsn6sWWWvpWZdbd+6RUA3h6QB4Xusi5q9nZclwpb1m/Buqh3R9Zx17sah9Zp5naEzXpDNY91bcE6swwsmSsV1nXNw60zQw+XO78xGBShdV/6jWDRlqv0NU8e64v6l0LHWOcLfpSD1nflaOUl5Jny+aDcuyuwjizu4SElGNyQvq7J47SlOtGmYZSsH0P6ai6hpU766rtFDsMcdH1KulaM61JhdxH7ijglrYPWsOVpjdfyXuQvI64eLp9yyawH6uvoOty6nP7wMlb6Bm1TmKaPGdNbBtK3YaXiVkB/tbWuYnoW/IReHYSwI5bQnwCumea45orZlnl/n40SKJ33bHLhNJ8QjbfinJhfarqoPlgYFudn5LZUJ9o0jJL1Y0hfb1NV5v1d38TG0Peh9S25qyPODpe14l+zqJxYeZr3Y0vvOeLq4fIpl8x6YGL2Wjlc/l3fFtu+xS7FZMtA+ppBe898TYPKHvR+NFeHuit50bglGp7lPTYOMQ+Ur0ftmvntNErgCmxUFvR9UGEwxYmZPaGLXK7kVfR+Rm5LdaJNwyhZP4b0tdbd/FJIlNwY3i5trGXOtx7SeMv8MvHsaAxGu9JHIm/QNVk4VQXnes/e5eRz3BqJtWRlWp67Ozz6B57lQfPwxC7F9DZZ6es9yvWW95IRd3VQRpvS+vLJ4JqvibA7s15TKEGfJYizkUtf4bVweIqfkdtSnWjTMErWjyF9haaqfxktfeUVNU6sh8jnRfrZEXFUdAbkOfJk4VQVnOs9x1XEG0nKhaXnQaTv9GwppK/QdkqHLj9FUQiDrkOEVVJOV+/J0OIVsy1L/302SjCIKf/kietLebLGiVxQeb5wSLSfkduynWgTMErWjyF9ldc37194jmsM4S2zVzVhJ3apd6HQEy1u0foc+UMn5S5C41lezruQJqruUprYBtW/eukbtK718KCYsWjLQPo2rPTdmC7m1A8xj3J5aIyYfuqD1pmNQfNdOWzXuq5dm54FM5MphKd3G22a/y+BEmjc9myaP/dv3aZrZpATV7cIXSS4MisS4WfktoQnWu5GyfqxZZa+xcNmDtYna37XV25IeVDZq3UPrk15l9CsaE2UJk5h0JoBYVFh71aH3teuJbyeheXMt/QbEVwJg/o6Fg+buR25ItW/yj/wFhShua48zeUQi7OxS9/xGy2YYq3cdlCC/i3f+8W2uiWvruNEy84oWT+W76WsZ/MmimbDrDZgY1iXDo2HS8T0DOmbalzuU4zbu0wtunCFzdqNTR/DSPz0YJxo2Rkl68e4r1Ua0heLtqF6A+mLWQ3pm2pc7lOM27tMjQ+DvIwTLTujZP0YlzKlIX2xFBukPZC+mNWQvtiQxjUlU6NweRn1ys4oWT9GnpVGorDlNDp/etaq9N27sb93A+mL6Y1rSqZG4fIy6pWdUbJ+jDwrjURhy2l0/vSsW+n73LO/iAPpuyTGNSVTo3B5GfXKzihZP0aelUaisOU0On961q30TaHyAwAAAAAAAJBI5z/wHGE89V0e2+XbaXkahcvLqFd2Rsn6MfKsNBKFLafR+dMzftcXG9K4pmRqFC4vo17ZGSXrx8iz0kgUtpxG50/PkL7YkMY1JVOjcHkZ9crOKFk/Rp6VRqKw5TQ6f3qG9MWGNK4pmRqFy8uoV3ZGyfox8qw0EoUtp9H50zOkLzakcU3J1ChcXka9sjNK1o+RZ6WRKGw5jc6fniF9sSGNa0qmRuHyMuqVnVGyfow8K41E1a0oit48t75WKw6tTvSe5ZktRpjuis6fno1d+haGCZuJbnH9EhGevW/V53R3PV34b2zTdZ3tIhumLa4plMAMrJ8SxJmmcPqChjrxZsy6qMuVeVSEn5HbEp5ouRsl68e4r/VeDytzNWT/XSFcluWjQlcJercwPrniVvd6TrdWHFqdpGyz8VZcla1+lPNd1mnnT/4CO07LQPrqNxPdN9EXqVast+Ws2xSusz0EVr+mWGPox5a5BHHmLVxQQSOcWF8r5wuHRPsZuS3biTYBo2T92DJLX/MOXii3qyH7t36krzcGeQTpGxdD/aN5hNI30ZVpg59Ny2lZSt/694Qa58lixPzGTH3c6tD6pemnMWg9u8wba9dnjMuPHL81GDNRwh6FcTP47kxze0cJRmhy4axhC3uJc2JO8/ZAXKgaPyO3pTrRpmGUrB9bZulbmVl3q3kFgNwVwkhoe5hdrenPRicrQ7VOtiZBiMcbW31plx/h5LK6Ema6pjW2I/ux7sibNOu4NY1yNvRLKHMizJQ7vzEYtKg11KDYsDjLVfqa54P1Rf1Lzcmm9KMctL4rRysvIc+Uzwfl3l2BdWRxDw8pweCG9HVNHqct1Yk2DaNk/RjSt1GmutWnxQkAc7zeWnGfdK7ukgPznjiu00T2Zp2vjFA4dxov2joNBYeChV5bgq5CrsGIKgelVz8zvfM1/Zm+C0xvbUrfO3vX7+xd7+F3fV2nkPfS5sqCuYTejyYk/TU08WoimGum9bIoH9KieX+fjRIonfdscuE0nxCNt+KcmF9quqg+WBgW52fktlQn2jSMkvVjSF/5yrx4Lf/Go7IBXA1snWn2fGNyYxVlJ0eEKngLCizu3Ek8071b856niSvKVyHXYESVE9d1zUzvfM2VNn0XmN4ykL5m0PIHealrUNmD3o/cl2ZI8qJxSzQ8y3tsHCJcFns4u8xvp1ECV2CjsqDvgwqDKU7M7Ald5HIlr6L3M3JbqhNtGkbJ+jGkr/LKHP1jn65prtf6gBurmF1X7z3Xu95QZW/yrl0RuuYvlrNG0jgq7vR3TTPnRDgPjU0ILKLK+gj1h5dtdL6rENYtB+0Ci7PJSl/vUa63XK/l1b0hKaNNaX35ZHDN10TYnVmvKZSgzxLE2cilr/BaODzFz8htqU60aRgl68eQvsor8wilr/V1W/eHoeeO9ZDGiP7cEZKj/OQSZoaeraEnvj42YU5ElbsYLJG+U7SlkL5C2ykduvwURSEhiHpPAAAgAElEQVQMug4RVkk5V70ng2ab0Z9GcZb++2yUYBDT/MkT4Ut5ssaJXFB5vnBItJ+R27KdaBMwStaPIX2V17ccpa/Z7aGher15DwldOi5g/aCwonVEvox4B61h1DMprCu87iIYV1r0na9fVLk1eRCLtgykb8NK343pYk79EPMol4fGiOmnPmid2Rg035XDdq3r2rXpWTAzmUJ4erfRJlxTKEE/JYgzzZ/7t27TNTPIiatbhC4SXJkVifAzclvCEy13o2T92DJL3+JhMwfrk6P/wnNjjve1Jmx53Nrt5cOdrA9VPne8sZmnhvLcWby2linIVWOmsKLpXJMKYdAasGvRMiTDymC8OSl9edZ3vn5RMy3yNE3JML2NXfqO32jBFGvltoMS9G/53i+21S15dR0nWnZGyfqxfC9lPRuJwnqwAS9ZrqXp/OkZ0jfVuLdIMW7vMrXowhU2azc2fQwj8dODcaJlZ5SsH+O+VmkkCuvHhrpqIX2Xx5C+qca9RYpxe5ep8WGQl3GiZWeUrB/jUqY0EoX1ZoNcuJC+y2NIX2xI45qSqVG4vIx6ZWeUrB8jz0ojUdhyGp0/PUP6YkMa15RMjcLlZdQrO6Nk/Rh5VhqJwpbT6PzpWbfS97lnfxEH0ndJjGtKpkbh8jLqlZ1Rsn6MPCuNRGHLaXT+9Kxb6ZtC5QcAAAAAAAAgkc5/4DnCeOq7PLbLt9PyNAqXl1Gv7IyS9WPkWWkkCltOo/OnZ/yuLzakcU3J1ChcXka9sjNK1o+RZ6WRKGw5jc6fniF9sSGNa0qmRuHyMuqVnVGyfow8K41EYctpdP70DOmLDWlcUzI1CpeXUa/sjJL1Y+RZaSQKW06j86dnSF9sSOOakqlRuLyMemVnlKwfI89KI1HYchqdPz1D+mJDGteUTI3C5WXUKzujZP0YeVZaYqKKolAOTsMmvLVlMy4R07OxS9/CMGEz0dca/RIRnr1v1ed0fbk0t2muWI10kQ3TFtcUSmAG1k8J4kxTOH1BQ514M2Zd1OXKPCrCz8htCU+03I2S9WPLfF/rvSTWJ7sa0toq1rVSBtOt5+6NyAY2TvN2fopN/gI7TstA+uo3E903jQNHdYnsbqHFXb5rWg+B1a8p1hj6sWUuQZx5CxdU0Agn1tfK+cIh0X5Gbst2ok3AKFk/trTSV/NhVP/S1ZBxy4UOptuoTpzJn1ZTssTOl41OGMSylL6La3TjO471Ede3JK3fqpHvdM1v8Jjf+PHeWFudWMN2rWvdtXXEaq4JQjZ6OCc1t3eUYIQmF84atrCXOCfmNG8PxIWq8TNyW6oTbRpGyfqxpZW+DZNbpVQIAKE9XO+arsyWk1vI6k0zYm68MdkVUqno9qBgZP+NhLvygHVncucXtlNG0yHWL63TBIdYnOUqfa3XAvNF/UuhY6zzBT/KQeu7crTyEvJM+XxQ7t0VWEcW9/CQEgxuSF/X5HHaUp1o0zBK1o8hfSuTW6VUS199s7lcyR0ujGgCsC5Xn6P81FCeF66AvWex69wZ7Xk0YYuTvt4OMQ8PvcBi0ZaB9G1Yqbi0aS6IjQmNJfR+Ii73QrShS+hPAPnjyhtYR+b9fTZKoHTes8mF03xCNN6Kc2J+qemi+mBhWJyfkdtSnWjTMErWjyF9S9+9U2XK3/UNajZ971knR3S7sJzwWrNE3NaUJ05GJ9T0TO78xOthygUWi7YMpK8ZtPfSpmlQ2YPej/Jq2/iQcC0at0TDs7zHxiHCx0kPZ5f57TRK4ApsVBb0fVBhMMWJmT2hi1yu5FX0fkZuS3WiTcMoWT+25NLXVXfzS/1TX7MtS1+fWAe9k12tKAQgLOd6nX6WCcFoXAnjWA8W/QPP8qB5eER3YXE2WenrPcr1lvAxIKzuDUkZbUrryyeD/mLq/aho0azXFErQZwnibOTSV3gtHJ7iZ+S2VCfaNIyS9WPLLH29Zap/GfcDz/K7cg+HNpUmAHk8pdvjTj3lFuStYZ0a0nd6thTS13vVUN4ZWG+1hUHXIcIqKRdW78mg2WaQw3RL/302SjCI6f/kiTwt2olcUHm+cEi0n5Hbsp1oEzBK1o8trfQNvfS1/ru+9VYUDhEC9na74M3lRNiOvETEqadxZY0N69P00lffIa7DlcfSDImWgfRtWOm7MV3MqR9iHuXy0Bgx/dQHrTNL23XN6sQatmtd4YLe8CyYmUwhPL3baBOuKZSgnxLEmebP/Vu36ZoZ5MTVLUIXCa7MikT4Gbkt4YmWu1GyfmyZpW/DzPH6/Nb/wrPsajFBbiG52822NP0Ibe9aQtPt3v0Ke7Rudswn0bRN0/mhHeLqBNc0l0MszsYufcdvtGCKtXLbQQn6t3zvF9vqlry6jhMtO6Nk/Vi+l7KebfyJmna3T3t3Y7bxdz4WakjfVON6lGLc3mVq0YUrbNZubPoYRuKnB+NEy84oWT/Gfa3Sxp+oCXf7hLc2fht/52OhhvRNNS5JKcbtXabGh0FexomWnVGyfoxLmdLGmagBv4Xap017dyO3cXY+lmJIX2xI45qSqVG4vIx6ZWeUrB8jz0ojUdhyGp0/PUP6YkMa15RMjcLlZdQrO6Nk/Rh5VhqJwpbT6PzpWbfS97lnfxEH0ndJjGtKpkbh8jLqlZ1Rsn6MPCuNRGHLaXT+9Kxb6ZtC5QcAAAAAAAAgkc5/4DnCeOq7PLbLt9PyNAqXl1Gv7IyS9WPkWWkkCltOo/OnZ/yuLzakcU3J1ChcXka9sjNK1o+RZ6WRKGw5jc6fniF9sSGNa0qmRuHyMuqVnVGyfow8K41EYctpdP70DOmLDWlcUzI1CpeXUa/sjJL1Y+RZaSQKW06j86dnSF9sSOOakqlRuLyMemVnlKwfI89KI1HYchqdPz1D+mJDGteUTI3C5WXUKzvLpWRFUQwdQpLlkufBrbtEpbSQ/tjcG7UtG3keFuGNJ04uEdOzsUvf4mEL3V7oIeM52ZbEFteUwjDhqKHKRDstzFW4xjRNBoI8uCZYnbg8W5styIN+I97dWd8SAnNtxLW16i1lvbwWekjEElhluVwbW1wxcWtxkXBf67r4NMaFhgzKvPWq1VbwwoS4VcZwwTSX7jRjSifKhIQG30pXJC7dsLhLsT5IZXhYi5aB9K2H23Vn0Hk9W/2aoj8qlzLlEmeEuQoXccKGerB+VFiPcrly3V7oPVgt1INyp65Fg/KmrFfrNuFToGvL5drY24odLbTM0te8gxeuD2ai0qWgfImLcChMiJa+QcslWi7SV+9nYtI3MST9olinlqX0XfxbP0msF3HNhMWg68uuco/5rinWQshVK23t4XVY0k6BppFSRe1sFSzCgzludeLyLDSb0oN+I63HoInEnCDXi1NghNbztdE731Vob3j1Q4S1Sls36rcmHy7EtszStzIzh9YvNdJX0xWucbnNXINC8KWtUZWruHyaPeYNNWgv1khcO3UVyxWe+a6cB9OPKzPeBIYGb06ICNK1tMuPaxeaS7F10dCKy+FZHWJxlqv0tXaz+aVwjslNLPjHWjTvNcV12bIeJVwEBYe0U4QhfRM9RMegicSc4JW+nAJjs56vjaZ/1yqak6Jx06Zse7kbhau65nBrbCXSV3Ehrcwrfb2NEfq5bB4r+NS0R0QzD3XBlOd7P1yEsy8o28LlQnltjwhedqUPMnrphsVJX++65uH6Wgh1wTSWgfSt22Kwvocurjs0Vj8m/xJF6MVRqKx+Pu2kMe/vjuov03EezCpYLxQuz9Zm03vQb0SzO2FTQrTeYOpfyvWyrmv90rq6EJJrCcxrPV8bG6YvtLeT9W2v3Frc4a4RpK9QoPqXnUpf80tlA3sbO+iMsPof5IIpb0F/psQFo7lcKK/t0cF7+yei9HFXmIhLcVzFE6+6mN4ykL5m0BHXHW+/Wo+tX+ywLizi22mNF8rKCg5ppwjz/vaLmTeXRXgwcy7nX/OxEeTBG3ArMShb63+1d0Y/chzJma8/3Hcvh3u7R7/oXhYG/CAcBHgPEkmR9gHWaGduSGIkyuOZ43rXsI09rYEDxbuVSGql7lbdQ4ONYmVE5JeRVVkdVd8PBaErOzMyMiIyKmO6W0SU8W209JZboBmNc2M6RJulNJLF1+lcWfliLOHDtRaWvtlMe6R96YsEcDaliPFjz5LVGV940VqQxuFYcKeIY90aapI1R7iVz/oiq2SN3Ya4v/CMqIo7yJiUlLKV0jcrpLSRTEL98S47KiuQ4eQAKX2N88SoZ6mE1BHgQwXsjI9yS3A/RH3KTF76giqteAvMzdnmRuQQZoe9rXzp0sDhWgtLXyMvDW+X/dTXlokENj5LVucFE+ZQYHanIMq4nzJFDnIon40f3PWlU49g6bs+tlj6IlFYdOQlbqY93hWlQq0/wwmhyHFaN58E0Zi++ClVo/4oAJ4yhy1F50XtdtbSd5tbYG4WzI1d14GOPvW0pYESHGdifLjWwtIXTEr1pa/Wp6Z4sLO60cEXLYYo8dadMG35yD6qUSabLnrFsFkD4sojomwlkantGY/gqRjPnNpwcCyfoZWsofTt3wdc+hgexnTawWgcvltvZaLh+z1bL7kpm7/SWbT+DKcsS5W+eLvdORtscy/k9NoIpLQPEnLivA5/cQssS+Pc2H/oIHsWQxNRH1CCY2lFw0dTH9/acumbxlWv7OJ+iv/Ds9YnG2ZpDIjhp00qqpRdryETX3jRWoaNxnSis/pkI2ivuw8xlNHs2ScmxQ2IK69JK1IyO7XR5wT+Hbd+YGRRE9vjRjdNIPFx7qVvJYyPM6fxsaMyHhhOJ7Z8XozIVP7iFmgGt9hMjGKYdgahoRwwYa4ARv76YOlLloSlb1B8juskJtetAeEWwtI3HDxvzQRLXx80lAMmzBXAyF8fqy19z/8wSvo4pS/DaQQfBrGo9xe3QGO4xWaCpa8PGqoIJszVwMhfH6stfUkImFOCQsfFgv4KB13WBtoZhIYi24SRvz5Y+pIlYU4JCh0XC/orHHRZG2hnEBqKbBNG/vqYt/T95OOPfBdL343AnBIUOi4W9Fc46LI20M4gNBTZJoz89TFv6VtzHeXw4sWLFy9evHjx4sWLFy9eldfsX3h2wE99t8Mr/jktJnRcLOivcNBlbaCdQWgosk0Y+euDv/UlS8KcEhQ6Lhb0VzjosjbQziA0FNkmjPz1wdKXLAlzSlDouFjQX+Ggy9pAO4PQUGSbMPLXB0tfsiTMKUGh42JBf4WDLmsD7QxCQ5FtwshfHyx9yZIwpwSFjosF/RUOuqwNtDMIDUW2CSN/fbD0JUvCnBIUOi4W9Fc4oris67qlVagiip0XxzBU9x7t3dmUisQ52+GkW2Mlm01nh6g25PiCKWJ9nHvp231I6fJKh5xzblolp5zSJRijlnITw+mE5rhRN8QCRRK0DqIQTbIYbEUS8IVkVye+ZSimLURb2vEt0F9ZSoc4piBHouTGCWesXJpPky2fa8GsciQNyNOtJtzugOu2VKZKp66J9ql2CiKnVHPcWUV+OZPYcM9yfOFLxaWzuPUkDgKUvkN1544MRl5jhjkFHxXFTVH0dKA5zrFhSyWIjwpxlCZKO+XgEkRKJYArzZ4ekFvQX5Oz4i0wN1FyY7MZZ5pos6Vvab4aGgo5r9eXN8bt5AQqfcG55ih97ccx0r9oOlCsuwIHR/lScekspCUhS9/Tf4f7J/0zDNjh1KjdzmV7ksspoiNsr/VSeGQF9gynQpBSqhvsVgOHhLRdFKJJNoINlIAvZHIdEE3SDra/uAXOkMa5Mdtfc3RWveEQY65eikZ8afZwQ7fNlr4jhtYbNR4RS18tDNIIsaNI00dUzwiMYWO2gx1Ook1sK2nqpe/adkjlaNPZfUo1TztoU4tvpavQrKrZ35Bmq2FMqs2lLTltR1Lx6BZcV3prrEIUSHxELX1HwZT2GfUXhaTmEDcD42w+sjlFdISds4zUIApkODlg6Vspwa0DoknaIVv6cgucG41zYypfmwXZFKNDGxj2djQaWR0ZLurWs/R9T9a5NZ/6OqJoqUxl989mdSPscTvY+1TTqlJzTZTY324v2rP1sZEdaKuRHeUrfbPrSofjIWG7iWQJUPoOOTUO1zBH+mNgtcH+EUVpmjY8i/dnOCFkfzuKp2mfhNQLYqLQJIvBhkvAF4KszliUoW1WmeGt7S9xXvFWnN1QSZuCZGmcG0fgjs5GMh724NJ8w7UWlr59LmyOTPWFZ9xNi2Qqewl4iPqUQfYp3sehOfJkwf0yX2yILT41sqMcqdgXeJVZl+AEKH1TpR3pLxuv4tjh3iZz4Phz2ugF6FlDIMPJQfbXL6ndNBwSUpvb9kceG0USsgpPogMYWogyvo2W3nILNKNxbkyHaLOURrL4Op0rK1+MJXy41rLx0ne0JQ3rTV76ik60xdrOTbXCdwEYxkUhKo51ayhOJ5quRnN7am0izZvNYgNXI2vtdJT7C892o6hbkUDiZiulb1ZIaSOZhPrjXXZUViDDyQFS+hqPrlHPUgmpI8CHCtgZH+WW4H6I+pSZvPQFVVrxFpibs82NyCHMDntb+dKlgcO1li2XvlnjDG9n/dQX0c1WT9Rqwkw1FJgNUUQZd3rPeq1G89LkbHuzWWyAahQltNMLlr7rY4ulLxKFRUde4mba4102bzpyCsNJpMhxWjefBNGYvvgpVaP0RGJLAM/o4KnCvp219N3mFpibBXNj13Wgo089bWmgBMfpHB+utWy29C1NBe2/8FyknqiVI1PZ8pEArlEmu0/FPlnr4ZqXPiXBPavJmSQ2bGlaB9wmeCrGM6c2HBxrRwjJsobSt38fcOljeBjEaQejcfhuvZWJhu/3bL3kpmy2TWfR+jOcsixV+uLtdudssM29kNNrI5DSPkjIifM6/MUtsCyNc2P/oYPsWQxNRH1ACY6lFQ0fTX18a8ulbxpXvbKL+/J/1zftOeqvTWSIzXoTnMVoNKYTrdQnEai9Fq0tKmOYVFya0adU86wO+CrSqUU59tLssdp0qW7ivKBN8O+49QNf4+sy9NHcoWlCQM699K2E8XHmND52VMYDw+nEZs+LQZnKX9wCzeAWm4lRDNPOILEMxUxVCQ14IlbkEwSWvmRJWPoGxee4TmJy3RoQbiEsfcPB89ZMsPT1EctQzFQ10HpDYkU+QVht6Xv+h1HSxyl9GU4j+DCIRb2/uAUawy02Eyx9fUQxFDMVmZYokU9wVlv6khAwpwSFjosF/RUOuqwNtDMIDUW2CSN/fbD0JUvCnBIUOi4W9Fc46LI20M4gNBTZJoz89TFv6fvJxx/5Lpa+G4E5JSh0XCzor3DQZW2gnUFoKLJNGPnrY97St+Y6yuHFixcvXrx48eLFixcvXrwqr9m/8OyAn/puh1f8c1pM6LhY0F/hoMvaQDuD0FBkmzDy1wd/60uWhDklKHRcLOivcNBlbaCdQWgosk0Y+evj9XffHg4/F/Vn6UsmgzklKHRcLOivcNBlbaCdQWgosk0Y+evj9Xff9n3/x9f7F/+yf/byp9/8w49//+LHv3/x4//46se/vXn7tzdvP3/+7tP/+fZvLt/8/o8/9X3/7//+B5a+ZDKYU4JCx8WC/goHXdYG2hmEhiLbhJG/Po6l74t/2f/b//nln/74yz/+2/6bfz1886+HF/+8/+p3h69+d3j228PF7f7vvvr58dMf+r6/+ub3LH3JZDCnBIWOiwX9FQ66rA20MwgNRbYJI399HEvfR8/eXt/vrl/uru93V/eHq/vDl3eHi9v9xe3+yTf7h1/tHt7sHj//oe/7Xz34B5a+ZDKYU4JCx8WC/gpHFJd1Xbe0ClVEsfPiGIbq3qO9O5tSkThnO5x0a6xks+nsENWGHF8wRayPY+n72fW7y7v99f3u+n53eb+/vN9f3u0v7vYXd/snt/tPv94/uPn5wdMlSt/uQ0qXVzrknHPTKjnllC7BGLWUmxhOJzTHjbohFiiSoHUQhWiSxWArkoAvJLs68S1DMW0h2tKOb4H+ylI6xDEFORIlN044Y+XSfJps+VwLZpUjaUCebjXhdgdct6UyVTp1TbRPtVMQOaWa484q8suZxIZ7luMLXyouncWtJ3FwLH0/f/7u6cv9s5eH65e7q7vD1d3hy9vDF7e7L253T17sH93sH9/snjx/0y9S+g7VnTsyGHmNGeYUfFQUN0XR04HmOMeGLZUgPirEUZoo7ZSDSxAplQCuNHt6QG5Bf03OirfA3ETJjc1mnGmizZa+pflqaCjkvF5f3hi3kxOo9AXnmqP0tR/HSP+i6UCx7gocHOVLxaWzkJaELH1P/x3un/TPMGCHU6N2O4/lSd/ncoroCNtrvRQeWYE9w6kQpJTqBrvVwCEhbReFaJKNYAMl4AuZXAdEk7SD7S9ugTOkcW7M9tccnVVvOMSYq5eiEV+aPdzQbbOl74ih9UaNR8TSVwuDNELsKNL0EdUzAmPYmO1gh5NoE9tKmnrpu7YdUjnadHafUs3TDtrU4lvpKjSravY3pNlqGJNqc2lLTtuRVDy6BdeV3hqrEAUSH1FL31EwpX1G/UUhqTnEzcA4m49sThEdYecsIzWIAhlODlj6Vkpw64BoknbIlr7cAudG49yYytdmQTbF6NAGhr0djUZWR4aLuvUsfd+TdW7Np76OKFoqU9n9s1ndCHvcDvY+1bSq1FwTJfa324v2bH1sZAfaamRH+Urf7LrS4XhI2G4iWQKUvkNOjcM1zJH+GFhtsH9EUZqmDc/i/RlOCNnfjuJp2ich9YKYKDTJYrDhEvCFIKszFmVom1VmeGv7S5xXvBVnN1TSpiBZGufGEbijs5GMhz24NN9wrYWlb58LmyNTfeEZd9MimcpeAh6iPmWQfYr3cWiOPFlwv8wXG2KLT43sKEcq9gVeZdYlOAFK31RpR/rLxqs4dri3yRw4/pw2egF61hDIcHKQ/fVLajcNh4TU5rb9kcdGkYSswpPoAIYWooxvo6W33ALNaJwb0yHaLKWRLL5O58rKF2MJH661bLz0HW1Jw3qTl76iE22xtnNTrfBdAIZxUYiKY90aitOJpqvR3J5am0jzZrPYwNXIWjsd5f7Cs90o6lYkkLjZSumbFVLaSCah/niXHZUVyHBygJS+xqNr1LNUQuoI8KECdsZHuSW4H6I+ZSYvfUGVVrwF5uZscyNyCLPD3la+dGngcK1ly6Vv1jjD21k/9UV0s9UTtZowUw0FZkMUUcad3rNeq9G8NDnb3mwWG6AaRQnt9IKl7/o493/Xd470h0Rh0ZGXuJn2eJfNm46cwnASKXKc1s0nQTSmL35K1Sg9kdgSwDM6eKqwb2ctfbe5BeZmwdzYdR3o6FNPWxoowXE6x4drLZstfUtTQfsvPBepJ2rlyFS2fCSAa5TJ7lOxT9Z6uOalT0lwz2pyJokNW5rWAbcJnorxzKkNB8faEUKyrKH07d8HXPoYHgZx2sFoHL5ba2Oi4/s9Wy+5KZtt01m0/gynLEuVvni73TkbbHMv5PTaCKS0DxJy4rwOf3ELLEvj3Nh/6CB7FkMTUR9QgmNpRcNHUx/f2nLpm8ZVr+zivvzf9U17jvprExlis94EZzEajelEK/VJBGqvRWuLyhgmFZdm9CnVPKsDvop0alGOvTR7rDZdqps4L2gT/Dtu/cDX+LoMfTR3aJoQkHMvfSthfJw5jY8dlfHAcDqx2fNiUKbyF7dAM7jFZmIUw7QzSCxDMVNVQgOeiBX5BIGlL1kSlr5B8Tmuk5hctwaEWwhL33DwvDUTLH19xDIUM1UNtN6QWJFPEFZb+p7/YZT0cUpfhtMIPgxiUe8vboHGcIvNBEtfH1EMxUxFpiVK5BOc1Za+JATMKUGh42JBf4WDLmsD7QxCQ5FtwshfHyx9yZIwpwSFjosF/RUOuqwNtDMIDUW2CSN/fcxb+n7y8Ue+i6XvRmBOCQodFwv6Kxx0WRtoZxAaimwTRv76mLf0rbmOcnjx4sWLFy9evHjx4sWLF6/Ka/YvPDvgp77b4RX/nBYTOi4W9Fc46LI20M4gNBTZJoz89cHf+pIlYU4JCh0XC/orHHRZG2hnEBqKbBNG/vo4lr6fXb+7vNtf3++u73eX9/vL+/3l3f7ibn9xt39yu//06/2Dm58fPGXpS6aGOSUodFws6K9w0GVtoJ1BaCiyTRj564OlL1kS5pSg0HGxoL/CQZe1gXYGoaHINmHkrw+WvmRJmFOCQsfFgv4KB13WBtoZhIYi24SRvz5Y+pIlYU4JCh0XC/orHFFc1nXd0ipUEcXOi2MYqnuP9u5sSkXinO1w0q2xks2ms0NUG3J8wRSxPs699O0+pHR5pUPOOTetklNO6RKMUUu5ieF0QnPcqBtigSIJWgdRiCZZDLYiCfhCsqsT3zIU0xaiLe34FuivLKVDHFOQI1Fy44QzVi7Np8mWz7VgVjmSBuTpVhNud8B1WypTpVPXRPtUOwWRU6o57qwiv5xJbLhnOb7wpeLSWdx6EgcBSt+hunNHBiOvMcOcgo+K4qYoejrQHOfYsKUSxEeFOEoTpZ1ycAkipRLAlWZPD8gt6K/JWfEWmJsoubHZjDNNtNnStzRfDQ2FnNfryxvjdnIClb7gXHOUvvbjGOlfNB0o1l2Bg6N8qbh0FtKSY+n7+fN3T1/un708XL/cXd0dru4OX94evrjdfXG7e/Ji/+hm//hm9+T5m/5MSt/Tf4f7J/0zDNjh1KjdzmN50ve5nCI6wvZaL4VHVmDPcCoEKaW6wW41cEhI20UhmmQj2EAJ+EIm1wHRJO1g+4tb4AxpnBuz/TVHZ9UbDjHm6qVoxJdmDzd022zpO2JovVHjEbH01cIgjRA7ijR9RPWMwBg2ZjvY4STaxLaSpl76rm2HVI42nd2nVPO0gza1+Fa6Cs2qmv0NabYaxqTaXNqS03YkFY9uwXWlt8YqRIHER9TSdxRMaZ9Rf1FIag5xMzDO5iObU9xKRxIAABnrSURBVERH2DnLSA2iQIaTA5a+lRLcOiCapB2ypS+3wLnRODem8rVZkE0xOrSBYW9Ho5HVkeGibj1L3/dknVvzqa8jipbKVHb/bFY3wh63g71PNa0qNddEif3t9qI9Wx8b2YG2GtlRvtI3u650OB4StptIlgCl75BT43ANc6Q/BlYb7B9RlKZpw7N4f4YTQva3o3ia9klIvSAmCk2yGGy4BHwhyOqMRRnaZpUZ3tr+EucVb8XZDZW0KUiWxrlxBO7obCTjYQ8uzTdca2Hp2+fC5shUX3jG3bRIprKXgIeoTxlkn+J9HJojTxbcL/PFhtjiUyM7ypGKfYFXmXUJToDSN1Xakf6y8SqOHe5tMgeOP6eNXoCeNQQynBxkf/2S2k3DISG1uW1/5LFRJCGr8CQ6gKGFKOPbaOktt0AzGufGdIg2S2kki6/TubLyxVjCh2stGy99R1vSsN7kpa/oRFus7dxUK3wXgGFcFKLiWLeG4nSi6Wo0t6fWJtK82Sw2cDWy1k5Hub/wbDeKuhUJJG62UvpmhZQ2kkmoP95lR2UFMpwcIKWv8ega9SyVkDoCfKiAnfFRbgnuh6hPmclLX1ClFW+BuTnb3Igcwuywt5UvXRo4XGvZcumbNc7wdtZPfRHdbPVErSbMVEOB2RBFlHGn96zXajQvTc62N5vFBqhGUUI7vWDpuz62WPoiUVh05CVupj3eZfOmI6cwnESKHKd180kQjemLn1I1Sk8ktgTwjA6eKuzbWUvfbW6BuVkwN3ZdBzr61NOWBkpwnM7x4VrLZkvf0lTQ/gvPReqJWjkylS0fCeAaZbL7VOyTtR6ueelTEtyzmpxJYsOWpnXAbYKnYjxzasPBsXaEkCzH0vfRs7fX97vrl7vr+93V/eHq/vDl3eHidn9xu3/yzf7hV7uHN7vHz8/gHzfSGrsBYk+xg9E4fLfWxkTH93u2XnJTNtums2j9GU5Zlip98Xa7czbY5l7I6bURSGkfJOTEeR3+4hZYlsa5sf/QQfYshiaiPqAEx9KKho+mPr615dI3jate2cV9+b/rm/Yc9dcmMsRmvQnOYjQa04lW6pMI1F6L1haVMUwqLs3oU6p5Vgd8FenUohx7afZYbbpUN3Fe0Cb4d9z6ga/xdRn6aO7QNCEgo9L39ZtfRtfCpW8ljI8zp/GxozIeGE4nNnteDMpU/uIWaAa32EyMYph2BollKGaqSmjAE7EinyCkn/r+l1//eXSx9CVzwdI3KD7HdRKT69aAcAth6RsOnrdmgqWvj1iGYqaqgdYbEivyCcJqP/U9/8Mo6eOUvgynEXwYxKLeX9wCjeEWmwmWvj6iGIqZikxLlMgnOCv/1JecOcwpQaHjYkF/hYMuawPtDEJDkW3CyF8fq/3Ul4SAOSUodFws6K9w0GVtoJ1BaCiyTRj56+NY+n52/e7ybn99L3/q++nX+wc3Pz94Wl76fvLxR76Lpe9GYE4JCh0XC/orHHRZG2hnEBqKbBNG/voYlb7Cp763e3/pW3Md5fDixYsXL168ePHixYsXL16V17yf+vrKcX7qux1e8c9pMaHjYkF/hYMuawPtDEJDkW3CyF8fael7eb+/vN9f3u0v7vYXd/uqT317/taXmDCnBIWOiwX9FQ66rA20MwgNRbYJI399sPQlS8KcEhQ6Lhb0VzjosjbQziA0FNkmjPz1cSx9P3/+7unL/bOXh+uXu6u7w9Xd4cvbwxe3uy9ud09e7B/d7B/f7J48f9Oz9CXTwpwSFDouFvRXOOiyNtDOIDQU2SaM/PXB0pcsCXNKUOi4WNBf4aDL2kA7g9BQZJsw8tcHS1+yJMwpQaHjYkF/hSOKy7quW1qFKqLYeXEMQ3Xv0d6dTalIrN4OpwWubKVMEevj3Evf7kNKl1c6ZGU79vw55ZQuwRi1lJsYTic0x426IRYokqB1EIVoksVgK5KALyS7OvEtQzFtIdrSjm+B/spSOsQxBTkSJTdOOGPl0nyabPlcC2aVI2lAnm414XYHXLelMlU6dU20T7VTEDmlmk+yfNDjbp+2ZKieLxU7Jjpzm6yJAKXvUN25I4OR15hhTsFHRXFTFD0daI5zbNhSCeKjQhylidIe87gEkVIJ4EqzJ0vkFvTX5Kx4C8xNlNzYbMaZJtps6Vuar4aGQs7r9aWvcTs5gUpfcK6zLX2RDoujlb6zTkSaEbL0Pf13uNPSP8OAHU6N2u08lid9n8spoiNsr/VSeGQF9gynQpBSqhvsVgOHhLRdFKJJNoINlIAvZHIdEE3SDra/uAXOkMa5Mdtfc3RWveEQY65eikZ8afZwQ7fNlr4jhtYbNR4RS18tDNIIsaNI00dUzwiMYWO2gx1Ook1sK2nqpe/adkjlaNPZfVLNtekmXH7awV6CuJDUQb1k2HSU2E0Tqykw6oakYtFEyLrSZeJ6EjfH0vfRs7fX97vrl7vr+93V/eHq/vDl3eHidn9xu3/yzf7hV7uHN7vHz5f4x420qErDXbwdxZPROBpryCcTks0poiNEN/VKeGQFMpwcsPStlODWAdEk7ZAtfbkFzo3GuTGVr82CbIrRoQ0MezsajayODBd161n6vifr3JpPfR1RtFSmsvtns7oR9rgd7H2qaVWpOT5RVkg2yRTFhtbNlibaX1xdNtv4Sl9kXT1s3mxaI0UEKH2HnBqHa5gj/TGw2mD/iKI0wxqexfsznBCyvx3F07RPQuoFMVFoksVgwyXgC0FWZyzK0DarzPDW9pc4r3grzm6opE1BsjTOjSNwR2cjGQ97cGm+4VrLxktfPBVM9YVn3E2LZCp7CXiI+pRB9inex6d5vRD88QQuH/T7VPYftTtSsS/wKrMuwQlQ+qZKO9JfNl7FscOcS+bA8ee00QvQs4ZAhpOD7K9ftIeQ3ROUkNrctj/y2CiSkFV4Eh3A0EKU8W209JZboBmNc2M6RJulNJLF1+lcWfliLOHDtZaNl74nstabvPQVnWiLtZ2baoXvAjCMi0JUHOvWUJxONF2l5vVCbP2Nntry025GBjCUz5paFOX+wnN2XZqeoEDiZiulb1ZIaSOZhPrjXXZUViDDyQFS+qZPJq1nqYTUEeBDBeyMj3JLcD9EfcpMXvqCKq14C8zN2eZG5BCWPYMaypcuDRyutbD0PZK13qyf+hrDjcaWmWooMBuiiDLu9J4N6UrN64XgzgVtguQcUWFbrCFZjHz3UxtUoDLrEpwtlr5IFBYdeYmbaY932WeqI6cwnESKHKd180kQjel+qhWpUXoisSWAZ3TkMZ+9nbX03eYWmJsFc2PXdaCjTz1taaAEx8EaH661bLb0LX0atv/CM6izoZUjU9nykQCuUSa7T8U+WevZO1qb0b18W6zRQVs+6Pep7D9qx1Mxnjmn0pP4WEPp278PuPQxPIzjtIPROHy31sZEx/d7tl5yUzbbprNo/RlOWZYqffF2u3M22OZeyOm1EUhpHyTkxHkd/uIWWJbGubH/0EH2LIYmoj6gBMfSioaPpj6+tdnSty/ZxX35v+ub9hz11yYyxGa9Cc5iNBrTjVatRaD2uvsQQxnDpOLSjD6G5kafyuXbCxHHaksTu2mryL7Omjr1S1/yHbd+4GtkXaOJfHoSB8fS97Prd5d3++v73fX97vJ+f3m/v7zbX9ztL+72T273n369f3Dz84OnS5S+lTA+zpzGx47KeGA4ndjyeTEiU/mLW6AZ3GIzMYph2hkklqGYqc6BdXghVuQTBJa+ZElY+gbF57hOYnLdGhBuISx9w8Hz1kyw9PURy1DMVIuzGhfEinyCsNrS9/wPo6SPU/oynEbwYRCLen9xCzSGW2wmWPr6iGIoZioyLVEin+CstvQlIWBOCQodFwv6Kxx0WRtoZxAaimwTRv76YOlLloQ5JSh0XCzor3DQZW2gnUFoKLJNGPnrY97S95OPP/JdLH03AnNKUOi4WNBf4aDL2kA7g9BQZJsw8tfHsfT9/Pm7py/3z14erl/uru4OV3eHL28PX9zuvrjdPXmxf3Szf3yze/L8TV9a+tZcRzm8ePHixYsXL168ePHixYtX5TVv6esrx/mp73Z4xT+nxYSOiwX9FQ66rA20MwgNRbYJI399zF768re+xIA5JSh0XCzor3DQZW2gnUFoKLJNGPnrg6UvWRLmlKDQcbGgv8JBl7WBdgahocg2YeSvD5a+ZEmYU4JCx8WC/goHXdYG2hmEhiLbhJG/Po6l76Nnb6/vd9cvd9f3u6v7w9X94cu7w8Xt/uJ2/+Sb/cOvdg9vdo+f8x83IlPDnBIUOi4W9Fc46LI20M4gNBTZJoz89cHSlywJc0pQ6LhY0F/hiOKyruuWVqGKKHZeHMNQ3Xu0d2dTKhKrt8NpgStbKVPE+jj30rf7kNLllQ5Z2Y49f045pUswRi3lJobTCc1xo26IBYokaB1EIZpkMdiKJOALya5OfMtQTFuItrTjW6C/spQOcUxBjkTJjRPOWLk0nyZbPteCWeVIGpCnW0243QHXbalMlU5dE+1T7RRETqnmkywf9Ljbpy0ZqudLxY6JztwmayJA6TtUd+7IYOQ1ZphT8FFR3BRFTwea4xwbtlSC+KgQR2mitMc8LkGkVAK40uzJErkF/TU5K94CcxMlNzabcaaJNlv6luaroaGQ83p96WvcTk6g0hec62xLX6TD4mil76wTkWaELH1P/x3utPTPMGCHU6N2O4/lSd/ncoroCNtrvRQeWYE9w6kQpJTqBrvVwCEhbReFaJKNYAMl4AuZXAdEk7SD7S9ugTOkcW7M9tccnVVvOMSYq5eiEV+aPdzQbbOl74ih9UaNR8TSVwuDNELsKNL0EdUzAmPYmO1gh5NoE9tKmnrpu7YdUjnadHafVHNtugmXn3awlyAuJHVQLxk2HSV208RqCoy6IalYNBGyrnSZuJ7ETdTSNw138XYUT0bjaKwhn0xINqeIjhDd1CvhkRXIcHLA0rdSglsHRJO0Q7b05RY4NxrnxlS+NguyKUaHNjDs7Wg0sjoyXNStZ+n7nqxzaz71dUTRUpnK7p/N6kbY43aw96mmVaXm+ERZIdkkUxQbWjdbmmh/cXXZbOMrfZF19bB5s2mNFHEsfT+7fnd5t7++313f7y7v95f3+8u7/cXd/uJu/+R2/+nX+wc3Pz94eja/9bWT5iTpj4HVBvtHFKUZ1vAs3p/hhJD97Siepn0SUi+IiUKTLAYbLgFfCLI6Y1GGtlllhre2v8R5xVtxdkMlbQqSpXFuHIE7OhvJeNiDS/MN11o2XvriqWCqLzzjblokU9lLwEPUpwyyT/E+Ps3rheCPJ3D5oN+nsv+o3ZGKfYFXmXUJzrn/u75IkkLSXzZexbHDnEvmwPHntNEL0LOGQIaTg+yvX7SHkN0TlJDa3LY/8tgokpBVeBIdwNBClPFttPSWW6AZjXNjOkSbpTSSxdfpXFn5Yizhw7WWjZe+J7LWm7z0FZ1oi7Wdm2qF7wIwjItCVBzr1lCcTjRdpeb1Qmz9jZ7a8tNuRgYwlM+aWhTl/sJzdl2anqBA4uZY+v7uD39+dPWnz59+//jpD6fr86fff/70+0+v3/73qx9+/Zvvf/uHd33fP/zN/wpZ+maFlDaSSag/3mVHZQUynBwgpW/6ZNJ6lkpIHQE+VMDO+Ci3BPdD1KfM5KUvqNKKt8DcnG1uRA5h2TOooXzp0sDhWgtL3yNZ6836qa8x3GhsmamGArMhiijjTu/ZkK7UvF4I7lzQJkjOERW2xRqSxch3P7VBBSqzLsF5/d23//XB78HO/+3if7/+7tvwpS8ShUVHXuJm2uNd9pnqyCkMJ5Eix2ndfBJEY7qfakVqlJ5IbAngGR15zGdvZy19t7kF5mbB3Nh1HejoU09bGijBcbDGh2stmy19S5+G7b/wDOpsaOXIVLZ8JIBrlMnuU7FP1nr2jtZmdC/fFmt00JYP+n0q+4/a8VSMZ86p9CQ+Xn/37Xd/+uEv/+a3/+mvb//Dr/7xL351m17/8a/u/vNf3/3lr//51fc/nmPp278PuPQxPIzjtIPROHy33spEw/d7tl5yUzbbprNo/RlOWZYqffF2u3M22OZeyOm1EUhpHyTkxHkd/uIWWJbGubH/0EH2LIYmoj6gBMfSioaPpj6+tdnSty/ZxX35v+ub9hz11yYyxGa9Cc5iNBrTjVatRaD2uvsQQxnDpOLSjD6G5kafyuXbCxHHaksTu2mryL7Omjr1S1/yHbd+4GtkXaOJfHoSB6+/+/aHP71686dXb354/fbN/3339v/9+OMPP/35zU8//bjb/Xm3+2m3++lw+PmXX3bHq3XpWwnj48xpfOyojAeG04ktnxcjMpW/uAWawS02E6MYpp1BYhmKmeocWIcXYkU+QWDpS5aEpW9QfI7rJCbXrQHhFsLSNxw8b80ES18fsQzFTLU4q3FBrMgnCKstfc//MEr6OKUvw2kEHwaxqPcXt0BjuMVmgqWvjyiGYqYi0xIl8gnOaktfEgLmlKDQcbGgv8JBl7WBdgahocg2YeSvD5a+ZEmYU4JCx8WC/goHXdYG2hmEhiLbhJG/PuYtfT/5+CPfxdJ3IzCnBIWOiwX9FQ66rA20MwgNRbYJI399zFv61lxHObx48eLFixcvXrx48eLFi1flNfsXnh3wU9/t8Ip/TosJHRcL+iscdFkbaGcQGopsE0b++uBvfcmSMKcEhY6LBf0VDrqsDbQzCA1Ftgkjf32w9CVLwpwSFDouFvRXOOiyNtDOIDQU2SaM/PXB0pcsCXNKUOi4WNBf4aDL2kA7g9BQZJsw8tcHS1+yJMwpQaHjYkF/hYMuawPtDEJDkW3CyF8fLH3JkjCnBIWOiwX9FY4oLuu6bmkVqohi58UxDNW9R3t3NqUisXo7nBa4spUyRayPcy99uw8pXV7pkJXt2PPnlFO6BGPUUm5iOJ3QHDfqhligSILWQRSiSRaDrUgCvpDs6sS3DMW0hWhLO74F+itL6RDHFORIlNw44YyVS/NpsuVzLZhVjqQBebrVhNsdcN2WylTp1DXRPtVOQeSUaj7J8kGPu33akqF6vlTsmOjMbbImApS+Q3XnjgxGXmOGOQUfFcVNUfR0oDnOsWFLJYiPCnGUJkp7zOMSREolgCvNniyRW9Bfk7PiLTA3UXJjsxlnmmizpW9pvhoaCjmv15e+xu3kBCp9wbnOtvRFOiyOVvrOOhFpRsjS9/Tf4U5L/wwDdjg1ardz2Z7kcoroCNtrvRQeWYE9w6kQpJTqBrvVwCEhbReFaJKNYAMl4AuZXAdEk7SD7S9ugTOkcW7M9tccnVVvOMSYq5eiEV+aPdzQbbOl74ih9UaNR8TSVwuDNELsKNL0EdUzAmPYmO1gh5NoE9tKmnrpu7YdUjnadHafVHNtugmXn3awlyAuJHVQLxk2HSV208RqCoy6IalYNBGyrnSZuJ7ETdTSNw138XYUT0bjaKwhn0xINqeIjhDd1CvhkRXIcHLA0rdSglsHRJO0Q7b05RY4NxrnxlS+NguyKUaHNjDs7Wg0sjoyXNStZ+n7nqxzaz71dUTRUpnK7p/N6kbY43aw96mmVaXm+ERZIdkkUxQbWjdbmmh/cXXZbOMrfZF19bB5s2mNFBGg9B1yahyuYY70x8Bqg/0jitIMa3gW789wQsj+dhRP0z4JqRfERKFJFoMNl4AvBFmdsShD26wyw1vbX+K84q04u6GSNgXJ0jg3jsAdnY1kPOzBpfmGay0bL33xVDDVF55xNy2Sqewl4CHqUwbZp3gfn+b1QvDHE7h80O9T2X/U7kjFvsCrzLoEJ0DpmyrtSH/ZeBXHDnMumQPHn9NGL0DPGgIZTg6yv37RHkJ2T1BCanPb/shjo0hCVuFJdABDC1HGt9HSW26BZjTOjekQbZbSSBZfp3Nl5YuxhA/XWjZe+p7IWm/y0ld0oi3Wdm6qFb4LwDAuClFxrFtDcTrRdJWa1wux9Td6astPuxkZwFA+a2pRlPsLz9l1aXqCAombrZS+WSGljWQS6o932VFZgQwnB0jpmz6ZtJ6lElJHgA8VsDM+yi3B/RD1KTN56QuqtOItMDdnmxuRQ1j2DGooX7o0cLjWwtL3SNZ6s37qaww3GltmqqHAbIgiyrjTezakKzWvF4I7F7QJknNEhW2xhmQx8t1PbVCByqxLcLZY+iJRWHTkJW6mPd5ln6mOnMJwEilynNbNJ0E0pvupVqRG6YnElgCe0ZHHfPZ21tJ3m1tgbhbMjV3XgY4+9bSlgRIcB2t8uNay2dK39GnY/gvPoM6GVo5MZctHArhGmew+FftkrWfvaG1G9/JtsUYHbfmg36ey/6gdT8V45pxKT+JjDaVv/z7g0sfwMI7TDkbj8N16KxMN3+/ZeslN2WybzqL1ZzhlWar0xdvtztlgm3shp9dGIKV9kJAT53X4i1tgWRrnxv5DB9mzGJqI+oASHEsrGj6a+vjWZkvfvmQX9+X/rm/ac9Rfm8gQm/UmOIvRaEw3WrUWgdrr7kMMZQyTiksz+hiaG30ql28vRByrLU3spq0i+zpr6tQvfcl33PqBr5F1jSby6UkcnHvpWwnj48xpfOyojAeG04ktnxcjMpW/uAWawS02E6MYpp1BYhmKmeocWIcXYkU+QWDpS5aEpW9QfI7rJCbXrQHhFsLSNxw8b80ES18fsQzFTLU4q3FBrMgnCKstfc//MEr6OKUvw2kEHwaxqPcXt0BjuMVmgqWvjyiGYqYi0xIl8gnOaktfEgLmlKDQcbGgv8JBl7WBdgahocg2YeSvD5a+ZEmYU4JCx8WC/goHXdYG2hmEhiLbhJG/PuYtfT/5+CPfxdJ3IzCnBIWOiwX9FQ66rA20MwgNRbYJI399TFX6/n+72Nj0FIHkrwAAAABJRU5ErkJggg==)
----------------------------------------------------------
Select FPT.APPLICATION_NAME
, FF.FORM_NAME SOURCE_FORM_NAME, FFT.USER_FORM_NAME, FFT.DESCRIPTION FORM_DESCRIPTION
, FFF.FUNCTION_NAME, FFFT.USER_FUNCTION_NAME, FFFT.DESCRIPTION FUNCTION_DESCRIPTION
, FFCR.SEQUENCE PERSONALIZE_RULE_SEQUENCE, FFCR.DESCRIPTION PERSONALIZE_RULE_DESCRIPTION
, DECODE(FFCR.RULE_TYPE,'F','Form','A','Function') PERSONALIZE_RULE_LEVEL
, FFCR.ENABLED PERSONALIZE_RULE_ENABLED
, FFCR.TRIGGER_EVENT PERSONALIZE_RULE_EVENT, FFCR.TRIGGER_OBJECT
, FFCR.CONDITION PERSONALIZE_RULE_CONDITION
, DECODE(FFCS.LEVEL_ID,10,'Industry',20,'Site',30,'Responsibility',40,'User') CONTEXT_LEVEL
, DECODE(FFCS.LEVEL_ID,10,'',20,'',30,FRT.RESPONSIBILITY_NAME,40,FU.USER_NAME) CONTEXT_LEVEL_VALUE
, FFCA.SEQUENCE ACTION_SEQUENCE
, DECODE(FFCA.ACTION_TYPE,'P','Property','M','Message','B','Builtin','S','Menu','') ACTION_TYPE
, FFCA.SUMMARY ACTION_DESCRIPTION
, FFCA.ENABLED ACTION_ENABLED
, DECODE(FFCA.LANGUAGE,'*','All','US','American English','AR','Arabic') ACTION_LANGUAGE
, DECODE(FFCA.ACTION_TYPE,'P',FFCA.OBJECT_TYPE,Null) ACTION_OBJECT_TYPE
, DECODE(FFCA.ACTION_TYPE,'P',FFCA.TARGET_OBJECT,Null) ACTION_TARGET_OBJECT
, DECODE(FFCA.ACTION_TYPE,'P',FFCPL.PROPERTY_NAME, Null) ACTION_PROPERTY_NAME
, DECODE(FFCA.ACTION_TYPE,'P',DECODE(FFCA.ARGUMENT_TYPE,'B'
, DECODE(FFCA.PROPERTY_VALUE,5,'False',4,'True')
, FFCA.PROPERTY_VALUE),Null) ACTION_PROPERTY_VALUE
, DECODE(FFCA.ACTION_TYPE,'M'
, DECODE(FFCA.MESSAGE_TYPE,'S','Show','E','Error','W','Warning','H','Hint','D','Debug'),Null) ACTION_MESSAGE_TYPE
, DECODE(FFCA.ACTION_TYPE,'M',FFCA.MESSAGE_TEXT,Null) ACTION_MESSAGE_TEXT
, DECODE(FFCA.ACTION_TYPE,'B',FFCA.BUILTIN_TYPE,Null) ACTION_BUILTIN_TYPE
, DECODE(FFCA.ACTION_TYPE,'B',FFCA.BUILTIN_ARGUMENTS,Null) ACTION_BUILTIN_ARGUMENTS
, DECODE(FFCA.ACTION_TYPE,'B',FFCA.MENU_ARGUMENT_LONG,Null) ACTION_BUILTIN_PARAMETERS
, DECODE(FFCA.ACTION_TYPE,'B',FFCA.MENU_ARGUMENT_SHORT,Null) ACTION_BUILTIN_CODE
,DECODE(FFCA.ACTION_TYPE,'S',FFCA.MENU_ENTRY,Null) ACTION_MENU_ENTRY
,DECODE(FFCA.ACTION_TYPE,'S',FFCA.MENU_LABEL,Null) ACTION_MENU_LABEL
,DECODE(FFCA.ACTION_TYPE,'S',FFCA.MENU_SEPERATOR,Null) ACTION_MENU_SEPERATOR
,DECODE(FFCA.ACTION_TYPE,'S',FFCA.MENU_ENABLED_IN,Null) ACTION_MENU_BLOCKS_ENABLED
,DECODE(FFCA.ACTION_TYPE,'S',FFCA.MENU_ARGUMENT_SHORT,Null) ACTION_MENU_ICON_NAME
From FND_APPLICATION FP, FND_APPLICATION_TL FPT
, FND_FORM FF, FND_FORM_TL FFT
, FND_FORM_FUNCTIONS FFF, FND_FORM_FUNCTIONS_TL FFFT
, FND_FORM_CUSTOM_RULES FFCR , FND_FORM_CUSTOM_SCOPES FFCS, FND_RESPONSIBILITY_TL FRT, FND_USER FU
, FND_FORM_CUSTOM_ACTIONS FFCA , FND_FORM_CUSTOM_PROP_LIST FFCPL
Where ----------------APPLICATION
FP.APPLICATION_ID = FPT.APPLICATION_ID
And FPT.LANGUAGE = 'US'
------------------------ FORM
And FPT.APPLICATION_ID = FF.APPLICATION_ID
And FF.FORM_ID = FFT.FORM_ID
And FFT.LANGUAGE = 'US'
------------------------ FUNCTION
And FF.FORM_ID = FFF.FORM_ID
And FFF.FUNCTION_ID = FFFT.FUNCTION_ID
And FFFT.LANGUAGE = 'US'
------------------------ Custom Rule
And FF.Form_Name = FFCR.Form_Name
And FFCR.FUNCTION_NAME = FFF.FUNCTION_NAME
------------------------ Custom Scope
And FFCR.ID = FFCS.RULE_ID
And FFCS.LEVEL_VALUE = FRT.RESPONSIBILITY_ID(+)
And FRT.LANGUAGE(+) = 'US'
And FFCS.LEVEL_VALUE = FU.USER_ID(+)
------------------------ Custom Actions
And FFCR.ID = FFCA.RULE_ID
And DECODE(FFCA.ACTION_TYPE,'P',FFCA.PROPERTY_NAME,79) = FFCPL.PROPERTY_ID
And DECODE(FFCA.ACTION_TYPE,'P',FFCA.OBJECT_TYPE,'ITEM') = FFCPL.FIELD_TYPE
Order By FFT.APPLICATION_ID, FF.FORM_NAME,FFCR.FUNCTION_NAME
, FFCR.SEQUENCE, FFCS.LEVEL_ID, FFCS.LEVEL_VALUE, FFCA.SEQUENCE
-------------------------------------------------------------------------------------------------------------------
Sample Output from Backend (Toad)
Thanks
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