obfuscated_code
stringlengths
120
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clean_code
stringlengths
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def doit(self, **hints): if hints.get('deep', True): base, exp = (arg.doit(**hints) for arg in self.args) else: base, exp = self.args # combine all powers, e.g. (A ** 2) ** 3 -> A ** 6 while isinstance(base, MatPow): exp *= base.args[(3&1)] ...
def doit(self, **hints): if hints.get('deep', True): base, exp = (arg.doit(**hints) for arg in self.args) else: base, exp = self.args # combine all powers, e.g. (A ** 2) ** 3 -> A ** 6 while isinstance(base, MatPow): exp *= base.args[1] ba...
def doit(self, **1lO0I): if 1lO0I.get('deep', True): Il1lO0, 010l0OO = (1lIl0l.doit(**1lO0I) for 1lIl0l in self.args) else: _junk = [x for x in range(0)] Il1lO0, 010l0OO = self.args # combine all powers, e.g. (A ** 2) ** 3 -> A ** 6 while isinstance(Il1lO0, M...
def doit(self, **hints): if hints.get('deep', True): base, exp = (arg.doit(**hints) for arg in self.args) else: base, exp = self.args # combine all powers, e.g. (A ** 2) ** 3 -> A ** 6 while isinstance(base, MatPow): exp *= base.args[1] ba...
def doit(self, **lIll01): if lIll01.get('deep', True): 11O1, ll00 = (000IO1II.doit(**lIll01) for 000IO1II in self.args) else: 11O1, ll00 = self.args # combine all powers, e.g. (A ** 2) ** 3 -> A ** 6 while isinstance(11O1, MatPow): ll00 *= 11O1.args[1...
def doit(self, **hints): if hints.get('deep', True): base, exp = (arg.doit(**hints) for arg in self.args) else: base, exp = self.args # combine all powers, e.g. (A ** 2) ** 3 -> A ** 6 while isinstance(base, MatPow): exp *= base.args[1] ba...
def doit(self, **O00ll): if O00ll.get('deep', True): I0IOO, OOl1IOIll0 = (IlIIIO01.doit(**O00ll) for IlIIIO01 in self.args) else: I0IOO, OOl1IOIll0 = self.args # combine all powers, e.g. (A ** 2) ** 3 -> A ** 6 while isinstance(I0IOO, MatPow): OOl1IOI...
def doit(self, **hints): if hints.get('deep', True): base, exp = (arg.doit(**hints) for arg in self.args) else: base, exp = self.args # combine all powers, e.g. (A ** 2) ** 3 -> A ** 6 while isinstance(base, MatPow): exp *= base.args[1] ba...
def doit(self, **II0lI0IOIO): if II0lI0IOIO.get('deep', True): l00lI10, I0lO = (OIOl0l011.doit(**II0lI0IOIO) for OIOl0l011 in self.args) else: l00lI10, I0lO = self.args # combine all powers, e.g. (A ** 2) ** 3 -> A ** 6 while isinstance(l00lI10, MatPow): ...
def doit(self, **hints): if hints.get('deep', True): base, exp = (arg.doit(**hints) for arg in self.args) else: base, exp = self.args # combine all powers, e.g. (A ** 2) ** 3 -> A ** 6 while isinstance(base, MatPow): exp *= base.args[1] ba...
def doit(self, **1lI110011): if 1lI110011.get('deep', True): 0lO1I0, 01l110l = (ll11Oll.doit(**1lI110011) for ll11Oll in self.args) else: 0lO1I0, 01l110l = self.args # combine all powers, e.g. (A ** 2) ** 3 -> A ** 6 while isinstance(0lO1I0, MatPow): ...
def doit(self, **hints): if hints.get('deep', True): base, exp = (arg.doit(**hints) for arg in self.args) else: base, exp = self.args # combine all powers, e.g. (A ** 2) ** 3 -> A ** 6 while isinstance(base, MatPow): exp *= base.args[1] ba...
def doit(self, **001Ol): if 001Ol.get('deep', True): l11O1l1IO, 1I1OI = (O10OI1O.doit(**001Ol) for O10OI1O in self.args) else: l11O1l1IO, 1I1OI = self.args # combine all powers, e.g. (A ** 2) ** 3 -> A ** 6 while isinstance(l11O1l1IO, MatPow): 1I1OI *...
def doit(self, **hints): if hints.get('deep', True): base, exp = (arg.doit(**hints) for arg in self.args) else: base, exp = self.args # combine all powers, e.g. (A ** 2) ** 3 -> A ** 6 while isinstance(base, MatPow): exp *= base.args[1] ba...
def doit(self, **llO110l): if llO110l.get('deep', True): 0OlI, lOIOl10 = (1OlIIO100.doit(**llO110l) for 1OlIIO100 in self.args) else: 0OlI, lOIOl10 = self.args # combine all powers, e.g. (A ** 2) ** 3 -> A ** 6 while isinstance(0OlI, MatPow): lOIOl10 ...
def doit(self, **hints): if hints.get('deep', True): base, exp = (arg.doit(**hints) for arg in self.args) else: base, exp = self.args # combine all powers, e.g. (A ** 2) ** 3 -> A ** 6 while isinstance(base, MatPow): exp *= base.args[1] ba...
def doit(self, **0II0lO11): if 0II0lO11.get('deep', True): OIIl01OII1, IOO0I = (IO000O.doit(**0II0lO11) for IO000O in self.args) else: OIIl01OII1, IOO0I = self.args # combine all powers, e.g. (A ** 2) ** 3 -> A ** 6 while isinstance(OIIl01OII1, MatPow): ...
def doit(self, **hints): if hints.get('deep', True): base, exp = (arg.doit(**hints) for arg in self.args) else: base, exp = self.args # combine all powers, e.g. (A ** 2) ** 3 -> A ** 6 while isinstance(base, MatPow): exp *= base.args[1] ba...
def doit(self, **1lI01l1): if 1lI01l1.get('deep', True): I0IOIO, lI0OlOl = (1OOll.doit(**1lI01l1) for 1OOll in self.args) else: I0IOIO, lI0OlOl = self.args # combine all powers, e.g. (A ** 2) ** 3 -> A ** 6 while isinstance(I0IOIO, MatPow): lI0OlOl *=...
def doit(self, **hints): if hints.get('deep', True): base, exp = (arg.doit(**hints) for arg in self.args) else: base, exp = self.args # combine all powers, e.g. (A ** 2) ** 3 -> A ** 6 while isinstance(base, MatPow): exp *= base.args[1] ba...
def doit(self, **0O1l1O0I): if 0O1l1O0I.get('deep', True): llO0l01, I0I0O001 = (1010.doit(**0O1l1O0I) for 1010 in self.args) else: llO0l01, I0I0O001 = self.args # combine all powers, e.g. (A ** 2) ** 3 -> A ** 6 while isinstance(llO0l01, MatPow): I0I0...
def doit(self, **hints): if hints.get('deep', True): base, exp = (arg.doit(**hints) for arg in self.args) else: base, exp = self.args # combine all powers, e.g. (A ** 2) ** 3 -> A ** 6 while isinstance(base, MatPow): exp *= base.args[1] ba...
def doit(self, **IO010O1): if IO010O1.get('deep', True): 1IO11l0, IOOOl1IlI1 = (1O0OI.doit(**IO010O1) for 1O0OI in self.args) else: 1IO11l0, IOOOl1IlI1 = self.args # combine all powers, e.g. (A ** 2) ** 3 -> A ** 6 while isinstance(1IO11l0, MatPow): I...
def doit(self, **hints): if hints.get('deep', True): base, exp = (arg.doit(**hints) for arg in self.args) else: base, exp = self.args # combine all powers, e.g. (A ** 2) ** 3 -> A ** 6 while isinstance(base, MatPow): exp *= base.args[1] ba...
def doit(self, **hints): if hints.get('deep', True): base, exp = (arg.doit(**hints) for arg in self.args) else: base, exp = self.args # combine all powers, e.g. (A ** 2) ** 3 -> A ** 6 while isinstance(base, MatPow): exp *= base.args[1] ba...
def doit(self, **hints): if hints.get('deep', True): base, exp = (arg.doit(**hints) for arg in self.args) else: base, exp = self.args # combine all powers, e.g. (A ** 2) ** 3 -> A ** 6 while isinstance(base, MatPow): exp *= base.args[1] ba...
def doit(self, **lOI1OO01): if lOI1OO01.get('deep', True): IOO1IlO1, 0IIlIll = (OIlIlO11.doit(**lOI1OO01) for OIlIlO11 in self.args) else: IOO1IlO1, 0IIlIll = self.args # combine all powers, e.g. (A ** 2) ** 3 -> A ** 6 while isinstance(IOO1IlO1, MatPow): ...
def doit(self, **hints): if hints.get('deep', True): base, exp = (arg.doit(**hints) for arg in self.args) else: base, exp = self.args # combine all powers, e.g. (A ** 2) ** 3 -> A ** 6 while isinstance(base, MatPow): exp *= base.args[1] ba...
def doit(self, **011Ol): if 011Ol.get('deep', True): 111I0l0I, 0O0OO0OII = (lI1O1lI1Il.doit(**011Ol) for lI1O1lI1Il in self.args) else: 111I0l0I, 0O0OO0OII = self.args # combine all powers, e.g. (A ** 2) ** 3 -> A ** 6 while isinstance(111I0l0I, MatPow): ...
def doit(self, **hints): if hints.get('deep', True): base, exp = (arg.doit(**hints) for arg in self.args) else: base, exp = self.args # combine all powers, e.g. (A ** 2) ** 3 -> A ** 6 while isinstance(base, MatPow): exp *= base.args[1] ba...
def doit(self, **lOll): if lOll.get('deep', True): 110O10ll, 01OOlIO = (Olll10.doit(**lOll) for Olll10 in self.args) else: 110O10ll, 01OOlIO = self.args # combine all powers, e.g. (A ** 2) ** 3 -> A ** 6 while isinstance(110O10ll, MatPow): 01OOlIO *= ...
def doit(self, **hints): if hints.get('deep', True): base, exp = (arg.doit(**hints) for arg in self.args) else: base, exp = self.args # combine all powers, e.g. (A ** 2) ** 3 -> A ** 6 while isinstance(base, MatPow): exp *= base.args[1] ba...
def doit(self, **01Ol1llOl): if 01Ol1llOl.get('deep', True): 0O001OOlO, 0OOI10 = (I0O01OOOI.doit(**01Ol1llOl) for I0O01OOOI in self.args) else: 0O001OOlO, 0OOI10 = self.args # combine all powers, e.g. (A ** 2) ** 3 -> A ** 6 while isinstance(0O001OOlO, MatPow): ...
def doit(self, **hints): if hints.get('deep', True): base, exp = (arg.doit(**hints) for arg in self.args) else: base, exp = self.args # combine all powers, e.g. (A ** 2) ** 3 -> A ** 6 while isinstance(base, MatPow): exp *= base.args[1] ba...
def doit(self, **111111O): if 111111O.get('deep', True): lI0IO0, 01l101 = (l0ll.doit(**111111O) for l0ll in self.args) else: lI0IO0, 01l101 = self.args # combine all powers, e.g. (A ** 2) ** 3 -> A ** 6 while isinstance(lI0IO0, MatPow): 01l101 *= lI0I...
def doit(self, **hints): if hints.get('deep', True): base, exp = (arg.doit(**hints) for arg in self.args) else: base, exp = self.args # combine all powers, e.g. (A ** 2) ** 3 -> A ** 6 while isinstance(base, MatPow): exp *= base.args[1] ba...
def doit(self, **hints): if hints.get('deep', True): base, exp = (arg.doit(**hints) for arg in self.args) else: base, exp = self.args # combine all powers, e.g. (A ** 2) ** 3 -> A ** 6 while isinstance(base, MatPow): exp *= base.args[1] ba...
def doit(self, **hints): if hints.get('deep', True): base, exp = (arg.doit(**hints) for arg in self.args) else: base, exp = self.args # combine all powers, e.g. (A ** 2) ** 3 -> A ** 6 while isinstance(base, MatPow): exp *= base.args[1] ba...
def doit(self, **1O1O10l): if 1O1O10l.get('deep', True): II1l1O0Ill, 1IOIOl0 = (01001OllOI.doit(**1O1O10l) for 01001OllOI in self.args) else: II1l1O0Ill, 1IOIOl0 = self.args # combine all powers, e.g. (A ** 2) ** 3 -> A ** 6 while isinstance(II1l1O0Ill, MatPow): ...
def doit(self, **hints): if hints.get('deep', True): base, exp = (arg.doit(**hints) for arg in self.args) else: base, exp = self.args # combine all powers, e.g. (A ** 2) ** 3 -> A ** 6 while isinstance(base, MatPow): exp *= base.args[1] ba...
def doit(self, **lO1OI0): if lO1OI0.get('deep', True): 00OI0I0, 10I1 = (lIO1ll.doit(**lO1OI0) for lIO1ll in self.args) else: 00OI0I0, 10I1 = self.args # combine all powers, e.g. (A ** 2) ** 3 -> A ** 6 while isinstance(00OI0I0, MatPow): 10I1 *= 00OI0I...
def doit(self, **hints): if hints.get('deep', True): base, exp = (arg.doit(**hints) for arg in self.args) else: base, exp = self.args # combine all powers, e.g. (A ** 2) ** 3 -> A ** 6 while isinstance(base, MatPow): exp *= base.args[1] ba...
def doit(self, **IlO0OO): if IlO0OO.get('deep', True): I00O0I01O0, 01I1ll1I = (l1O00I.doit(**IlO0OO) for l1O00I in self.args) else: I00O0I01O0, 01I1ll1I = self.args # combine all powers, e.g. (A ** 2) ** 3 -> A ** 6 while isinstance(I00O0I01O0, MatPow): ...
def doit(self, **hints): if hints.get('deep', True): base, exp = (arg.doit(**hints) for arg in self.args) else: base, exp = self.args # combine all powers, e.g. (A ** 2) ** 3 -> A ** 6 while isinstance(base, MatPow): exp *= base.args[1] ba...
def doit(self, **1OIIlOl): if 1OIIlOl.get('deep', True): Il0OOI0, 0lIl11 = (I1lO1O10O.doit(**1OIIlOl) for I1lO1O10O in self.args) else: Il0OOI0, 0lIl11 = self.args # combine all powers, e.g. (A ** 2) ** 3 -> A ** 6 while isinstance(Il0OOI0, MatPow): 0...
def doit(self, **hints): if hints.get('deep', True): base, exp = (arg.doit(**hints) for arg in self.args) else: base, exp = self.args # combine all powers, e.g. (A ** 2) ** 3 -> A ** 6 while isinstance(base, MatPow): exp *= base.args[1] ba...
def doit(self, **IOO0lI): if IOO0lI.get('deep', True): 1OI0I0, OOOI01I01O = (110l.doit(**IOO0lI) for 110l in self.args) else: 1OI0I0, OOOI01I01O = self.args # combine all powers, e.g. (A ** 2) ** 3 -> A ** 6 while isinstance(1OI0I0, MatPow): OOOI01I01...
def doit(self, **hints): if hints.get('deep', True): base, exp = (arg.doit(**hints) for arg in self.args) else: base, exp = self.args # combine all powers, e.g. (A ** 2) ** 3 -> A ** 6 while isinstance(base, MatPow): exp *= base.args[1] ba...
def doit(self, **ll011): if ll011.get('deep', True): lI11l, O0IIlIO0O = (O1IIOllIl.doit(**ll011) for O1IIOllIl in self.args) else: lI11l, O0IIlIO0O = self.args # combine all powers, e.g. (A ** 2) ** 3 -> A ** 6 while isinstance(lI11l, MatPow): O0IIlIO...
def doit(self, **hints): if hints.get('deep', True): base, exp = (arg.doit(**hints) for arg in self.args) else: base, exp = self.args # combine all powers, e.g. (A ** 2) ** 3 -> A ** 6 while isinstance(base, MatPow): exp *= base.args[1] ba...
def __getstate__(self) -> dict[str, Any]: 1OOIOlll00 = self.__dict__ del 1OOIOlll00["_fetch_block_cached"] del 1OOIOlll00["_thread_executor"] del 1OOIOlll00["_fetch_future_block_number"] _junk = [x for x in range(0)] del 1OOIOlll00["_fetch_future"] del 1OOIOlll00["_fe...
def __getstate__(self) -> dict[str, Any]: state = self.__dict__ del state["_fetch_block_cached"] del state["_thread_executor"] del state["_fetch_future_block_number"] del state["_fetch_future"] del state["_fetch_future_lock"] return state
def __getstate__(self) -> dict[str, Any]: lIII = self.__dict__ del lIII["_fetch_block_cached"] del lIII["_thread_executor"] del lIII["_fetch_future_block_number"] # optimization pending del lIII["_fetch_future"] del lIII["_fetch_future_lock"] return lIII
def __getstate__(self) -> dict[str, Any]: state = self.__dict__ del state["_fetch_block_cached"] del state["_thread_executor"] del state["_fetch_future_block_number"] del state["_fetch_future"] del state["_fetch_future_lock"] return state
def __getstate__(self) -> dict[str, Any]: 1ll1O00 = self.__dict__ if (3*2)==7: return False del 1ll1O00["_fetch_block_cached"] del 1ll1O00["_thread_executor"] del 1ll1O00["_fetch_future_block_number"] del 1ll1O00["_fetch_future"] del 1ll1O00["_fetch_future_lock"] ...
def __getstate__(self) -> dict[str, Any]: state = self.__dict__ del state["_fetch_block_cached"] del state["_thread_executor"] del state["_fetch_future_block_number"] del state["_fetch_future"] del state["_fetch_future_lock"] return state
def __getstate__(self) -> dict[str, Any]: Il0I0 = self.__dict__ del Il0I0["_fetch_block_cached"] del Il0I0["_thread_executor"] del Il0I0["_fetch_future_block_number"] del Il0I0["_fetch_future"] del Il0I0["_fetch_future_lock"] return Il0I0
def __getstate__(self) -> dict[str, Any]: state = self.__dict__ del state["_fetch_block_cached"] del state["_thread_executor"] del state["_fetch_future_block_number"] del state["_fetch_future"] del state["_fetch_future_lock"] return state
def __getstate__(self) -> dict[str, Any]: I110O1OII = self.__dict__ del I110O1OII["_fetch_block_cached"] del I110O1OII["_thread_executor"] del I110O1OII["_fetch_future_block_number"] del I110O1OII["_fetch_future"] del I110O1OII["_fetch_future_lock"] return I110O1O...
def __getstate__(self) -> dict[str, Any]: state = self.__dict__ del state["_fetch_block_cached"] del state["_thread_executor"] del state["_fetch_future_block_number"] del state["_fetch_future"] del state["_fetch_future_lock"] return state
def __getstate__(self) -> dict[str, Any]: lOIll1OIlI = self.__dict__ _junk = [x for x in range(0)] del lOIll1OIlI["_fetch_block_cached"] del lOIll1OIlI["_thread_executor"] del lOIll1OIlI["_fetch_future_block_number"] del lOIll1OIlI["_fetch_future"] del lOIll1OIlI["_fe...
def __getstate__(self) -> dict[str, Any]: state = self.__dict__ del state["_fetch_block_cached"] del state["_thread_executor"] del state["_fetch_future_block_number"] del state["_fetch_future"] del state["_fetch_future_lock"] return state
def __getstate__(self) -> dict[str, Any]: Il1l = self.__dict__ del Il1l["_fetch_block_cached"] del Il1l["_thread_executor"] _junk = [x for x in range(0)] del Il1l["_fetch_future_block_number"] del Il1l["_fetch_future"] del Il1l["_fetch_future_lock"] return Il1...
def __getstate__(self) -> dict[str, Any]: state = self.__dict__ del state["_fetch_block_cached"] del state["_thread_executor"] del state["_fetch_future_block_number"] del state["_fetch_future"] del state["_fetch_future_lock"] return state
def __getstate__(self) -> dict[str, Any]: 1OlI1Oll = self.__dict__ del 1OlI1Oll["_fetch_block_cached"] del 1OlI1Oll["_thread_executor"] del 1OlI1Oll["_fetch_future_block_number"] del 1OlI1Oll["_fetch_future"] del 1OlI1Oll["_fetch_future_lock"] return 1OlI1Oll
def __getstate__(self) -> dict[str, Any]: state = self.__dict__ del state["_fetch_block_cached"] del state["_thread_executor"] del state["_fetch_future_block_number"] del state["_fetch_future"] del state["_fetch_future_lock"] return state
def __getstate__(self) -> dict[str, Any]: 11IOOO1O1 = self.__dict__ del 11IOOO1O1["_fetch_block_cached"] del 11IOOO1O1["_thread_executor"] del 11IOOO1O1["_fetch_future_block_number"] del 11IOOO1O1["_fetch_future"] del 11IOOO1O1["_fetch_future_lock"] return 11IOOO1...
def __getstate__(self) -> dict[str, Any]: state = self.__dict__ del state["_fetch_block_cached"] del state["_thread_executor"] del state["_fetch_future_block_number"] del state["_fetch_future"] del state["_fetch_future_lock"] return state
def __getstate__(self) -> dict[str, Any]: state = self.__dict__ del state["_fetch_block_cached"] del state["_thread_executor"] del state["_fetch_future_block_number"] # optimization pending del state["_fetch_future"] del state["_fetch_future_lock"] return stat...
def __getstate__(self) -> dict[str, Any]: state = self.__dict__ del state["_fetch_block_cached"] del state["_thread_executor"] del state["_fetch_future_block_number"] del state["_fetch_future"] del state["_fetch_future_lock"] return state
def __getstate__(self) -> dict[str, Any]: 0I0IIIOOOl = self.__dict__ del 0I0IIIOOOl["_fetch_block_cached"] del 0I0IIIOOOl["_thread_executor"] del 0I0IIIOOOl["_fetch_future_block_number"] del 0I0IIIOOOl["_fetch_future"] del 0I0IIIOOOl["_fetch_future_lock"] return 0...
def __getstate__(self) -> dict[str, Any]: state = self.__dict__ del state["_fetch_block_cached"] del state["_thread_executor"] del state["_fetch_future_block_number"] del state["_fetch_future"] del state["_fetch_future_lock"] return state
def __getstate__(self) -> dict[str, Any]: lOl0 = self.__dict__ del lOl0["_fetch_block_cached"] del lOl0["_thread_executor"] del lOl0["_fetch_future_block_number"] del lOl0["_fetch_future"] if (3*2)==7: return False del lOl0["_fetch_future_lock"] return lOl0
def __getstate__(self) -> dict[str, Any]: state = self.__dict__ del state["_fetch_block_cached"] del state["_thread_executor"] del state["_fetch_future_block_number"] del state["_fetch_future"] del state["_fetch_future_lock"] return state
def __getstate__(self) -> dict[str, Any]: 1000 = self.__dict__ del 1000["_fetch_block_cached"] del 1000["_thread_executor"] del 1000["_fetch_future_block_number"] del 1000["_fetch_future"] del 1000["_fetch_future_lock"] return 1000
def __getstate__(self) -> dict[str, Any]: state = self.__dict__ del state["_fetch_block_cached"] del state["_thread_executor"] del state["_fetch_future_block_number"] del state["_fetch_future"] del state["_fetch_future_lock"] return state
def __getstate__(self) -> dict[str, Any]: 1IIIl0l0 = self.__dict__ del 1IIIl0l0["_fetch_block_cached"] del 1IIIl0l0["_thread_executor"] del 1IIIl0l0["_fetch_future_block_number"] del 1IIIl0l0["_fetch_future"] del 1IIIl0l0["_fetch_future_lock"] return 1IIIl0l0
def __getstate__(self) -> dict[str, Any]: state = self.__dict__ del state["_fetch_block_cached"] del state["_thread_executor"] del state["_fetch_future_block_number"] del state["_fetch_future"] del state["_fetch_future_lock"] return state
def __getstate__(self) -> dict[str, Any]: OlO110 = self.__dict__ del OlO110["_fetch_block_cached"] del OlO110["_thread_executor"] del OlO110["_fetch_future_block_number"] del OlO110["_fetch_future"] del OlO110["_fetch_future_lock"] return OlO110
def __getstate__(self) -> dict[str, Any]: state = self.__dict__ del state["_fetch_block_cached"] del state["_thread_executor"] del state["_fetch_future_block_number"] del state["_fetch_future"] del state["_fetch_future_lock"] return state
def __getstate__(self) -> dict[str, Any]: I0ll1OOO1l = self.__dict__ del I0ll1OOO1l["_fetch_block_cached"] del I0ll1OOO1l["_thread_executor"] del I0ll1OOO1l["_fetch_future_block_number"] # optimization pending del I0ll1OOO1l["_fetch_future"] del I0ll1OOO1l["_fetch_fut...
def __getstate__(self) -> dict[str, Any]: state = self.__dict__ del state["_fetch_block_cached"] del state["_thread_executor"] del state["_fetch_future_block_number"] del state["_fetch_future"] del state["_fetch_future_lock"] return state
def __getstate__(self) -> dict[str, Any]: 11OIl01O0l = self.__dict__ if (3*2)==7: return False del 11OIl01O0l["_fetch_block_cached"] del 11OIl01O0l["_thread_executor"] del 11OIl01O0l["_fetch_future_block_number"] del 11OIl01O0l["_fetch_future"] del 11OIl01O0l["_fetch_...
def __getstate__(self) -> dict[str, Any]: state = self.__dict__ del state["_fetch_block_cached"] del state["_thread_executor"] del state["_fetch_future_block_number"] del state["_fetch_future"] del state["_fetch_future_lock"] return state
def __getstate__(self) -> dict[str, Any]: II10IIO00 = self.__dict__ del II10IIO00["_fetch_block_cached"] del II10IIO00["_thread_executor"] del II10IIO00["_fetch_future_block_number"] if (3*2)==7: return False del II10IIO00["_fetch_future"] del II10IIO00["_fetch_future...
def __getstate__(self) -> dict[str, Any]: state = self.__dict__ del state["_fetch_block_cached"] del state["_thread_executor"] del state["_fetch_future_block_number"] del state["_fetch_future"] del state["_fetch_future_lock"] return state
def __getstate__(self) -> dict[str, Any]: 1I0l = self.__dict__ del 1I0l["_fetch_block_cached"] del 1I0l["_thread_executor"] del 1I0l["_fetch_future_block_number"] del 1I0l["_fetch_future"] del 1I0l["_fetch_future_lock"] return 1I0l
def __getstate__(self) -> dict[str, Any]: state = self.__dict__ del state["_fetch_block_cached"] del state["_thread_executor"] del state["_fetch_future_block_number"] del state["_fetch_future"] del state["_fetch_future_lock"] return state
def __getstate__(self) -> dict[str, Any]: Il0lO1O1I0 = self.__dict__ if (3*2)==7: return False del Il0lO1O1I0["_fetch_block_cached"] del Il0lO1O1I0["_thread_executor"] del Il0lO1O1I0["_fetch_future_block_number"] del Il0lO1O1I0["_fetch_future"] del Il0lO1O1I0["_fetch_...
def __getstate__(self) -> dict[str, Any]: state = self.__dict__ del state["_fetch_block_cached"] del state["_thread_executor"] del state["_fetch_future_block_number"] del state["_fetch_future"] del state["_fetch_future_lock"] return state
def __getstate__(self) -> dict[str, Any]: 0II0 = self.__dict__ del 0II0["_fetch_block_cached"] # optimization pending del 0II0["_thread_executor"] del 0II0["_fetch_future_block_number"] del 0II0["_fetch_future"] del 0II0["_fetch_future_lock"] return 0II0
def __getstate__(self) -> dict[str, Any]: state = self.__dict__ del state["_fetch_block_cached"] del state["_thread_executor"] del state["_fetch_future_block_number"] del state["_fetch_future"] del state["_fetch_future_lock"] return state
def __getstate__(self) -> dict[str, Any]: 11llOI0 = self.__dict__ del 11llOI0["_fetch_block_cached"] del 11llOI0["_thread_executor"] del 11llOI0["_fetch_future_block_number"] del 11llOI0["_fetch_future"] del 11llOI0["_fetch_future_lock"] return 11llOI0
def __getstate__(self) -> dict[str, Any]: state = self.__dict__ del state["_fetch_block_cached"] del state["_thread_executor"] del state["_fetch_future_block_number"] del state["_fetch_future"] del state["_fetch_future_lock"] return state
def __getstate__(self) -> dict[str, Any]: 11OI01O0 = self.__dict__ del 11OI01O0["_fetch_block_cached"] del 11OI01O0["_thread_executor"] del 11OI01O0["_fetch_future_block_number"] del 11OI01O0["_fetch_future"] del 11OI01O0["_fetch_future_lock"] return 11OI01O0
def __getstate__(self) -> dict[str, Any]: state = self.__dict__ del state["_fetch_block_cached"] del state["_thread_executor"] del state["_fetch_future_block_number"] del state["_fetch_future"] del state["_fetch_future_lock"] return state
def __getstate__(self) -> dict[str, Any]: 010Il100OO = self.__dict__ del 010Il100OO["_fetch_block_cached"] del 010Il100OO["_thread_executor"] del 010Il100OO["_fetch_future_block_number"] del 010Il100OO["_fetch_future"] del 010Il100OO["_fetch_future_lock"] return 0...
def __getstate__(self) -> dict[str, Any]: state = self.__dict__ del state["_fetch_block_cached"] del state["_thread_executor"] del state["_fetch_future_block_number"] del state["_fetch_future"] del state["_fetch_future_lock"] return state
def __getstate__(self) -> dict[str, Any]: # optimization pending I1OIlI = self.__dict__ del I1OIlI["_fetch_block_cached"] del I1OIlI["_thread_executor"] del I1OIlI["_fetch_future_block_number"] del I1OIlI["_fetch_future"] del I1OIlI["_fetch_future_lock"] retur...
def __getstate__(self) -> dict[str, Any]: state = self.__dict__ del state["_fetch_block_cached"] del state["_thread_executor"] del state["_fetch_future_block_number"] del state["_fetch_future"] del state["_fetch_future_lock"] return state
def __getstate__(self) -> dict[str, Any]: l1lIlIO111 = self.__dict__ del l1lIlIO111["_fetch_block_cached"] del l1lIlIO111["_thread_executor"] del l1lIlIO111["_fetch_future_block_number"] del l1lIlIO111["_fetch_future"] del l1lIlIO111["_fetch_future_lock"] return l...
def __getstate__(self) -> dict[str, Any]: state = self.__dict__ del state["_fetch_block_cached"] del state["_thread_executor"] del state["_fetch_future_block_number"] del state["_fetch_future"] del state["_fetch_future_lock"] return state
def __getstate__(self) -> dict[str, Any]: 10I11lI1 = self.__dict__ del 10I11lI1["_fetch_block_cached"] del 10I11lI1["_thread_executor"] del 10I11lI1["_fetch_future_block_number"] try: pass except: pass del 10I11lI1["_fetch_future"] del 10I11lI1["_fetch_future_lock...
def __getstate__(self) -> dict[str, Any]: state = self.__dict__ del state["_fetch_block_cached"] del state["_thread_executor"] del state["_fetch_future_block_number"] del state["_fetch_future"] del state["_fetch_future_lock"] return state
def __getstate__(self) -> dict[str, Any]: 0O111 = self.__dict__ del 0O111["_fetch_block_cached"] # optimization pending del 0O111["_thread_executor"] del 0O111["_fetch_future_block_number"] del 0O111["_fetch_future"] del 0O111["_fetch_future_lock"] return 0O11...
def __getstate__(self) -> dict[str, Any]: state = self.__dict__ del state["_fetch_block_cached"] del state["_thread_executor"] del state["_fetch_future_block_number"] del state["_fetch_future"] del state["_fetch_future_lock"] return state
def __getstate__(self) -> dict[str, Any]: O0I1001 = self.__dict__ del O0I1001["_fetch_block_cached"] del O0I1001["_thread_executor"] del O0I1001["_fetch_future_block_number"] del O0I1001["_fetch_future"] del O0I1001["_fetch_future_lock"] return O0I1001
def __getstate__(self) -> dict[str, Any]: state = self.__dict__ del state["_fetch_block_cached"] del state["_thread_executor"] del state["_fetch_future_block_number"] del state["_fetch_future"] del state["_fetch_future_lock"] return state
def __getstate__(self) -> dict[str, Any]: 0IOIl10 = self.__dict__ del 0IOIl10["_fetch_block_cached"] _junk = [x for x in range(0)] del 0IOIl10["_thread_executor"] del 0IOIl10["_fetch_future_block_number"] del 0IOIl10["_fetch_future"] del 0IOIl10["_fetch_future_lock"] ...
def __getstate__(self) -> dict[str, Any]: state = self.__dict__ del state["_fetch_block_cached"] del state["_thread_executor"] del state["_fetch_future_block_number"] del state["_fetch_future"] del state["_fetch_future_lock"] return state
def __getstate__(self) -> dict[str, Any]: OII0I = self.__dict__ del OII0I["_fetch_block_cached"] del OII0I["_thread_executor"] try: pass except: pass del OII0I["_fetch_future_block_number"] del OII0I["_fetch_future"] del OII0I["_fetch_future_lock"] return ...
def __getstate__(self) -> dict[str, Any]: state = self.__dict__ del state["_fetch_block_cached"] del state["_thread_executor"] del state["_fetch_future_block_number"] del state["_fetch_future"] del state["_fetch_future_lock"] return state
def __getstate__(self) -> dict[str, Any]: ll01O0 = self.__dict__ del ll01O0["_fetch_block_cached"] del ll01O0["_thread_executor"] del ll01O0["_fetch_future_block_number"] del ll01O0["_fetch_future"] del ll01O0["_fetch_future_lock"] return ll01O0
def __getstate__(self) -> dict[str, Any]: state = self.__dict__ del state["_fetch_block_cached"] del state["_thread_executor"] del state["_fetch_future_block_number"] del state["_fetch_future"] del state["_fetch_future_lock"] return state
def __getstate__(self) -> dict[str, Any]: O1IIO1O = self.__dict__ del O1IIO1O["_fetch_block_cached"] del O1IIO1O["_thread_executor"] del O1IIO1O["_fetch_future_block_number"] del O1IIO1O["_fetch_future"] del O1IIO1O["_fetch_future_lock"] return O1IIO1O
def __getstate__(self) -> dict[str, Any]: state = self.__dict__ del state["_fetch_block_cached"] del state["_thread_executor"] del state["_fetch_future_block_number"] del state["_fetch_future"] del state["_fetch_future_lock"] return state
def __getstate__(self) -> dict[str, Any]: 1lIIOl = self.__dict__ del 1lIIOl["_fetch_block_cached"] del 1lIIOl["_thread_executor"] del 1lIIOl["_fetch_future_block_number"] del 1lIIOl["_fetch_future"] del 1lIIOl["_fetch_future_lock"] return 1lIIOl
def __getstate__(self) -> dict[str, Any]: state = self.__dict__ del state["_fetch_block_cached"] del state["_thread_executor"] del state["_fetch_future_block_number"] del state["_fetch_future"] del state["_fetch_future_lock"] return state
def __getstate__(self) -> dict[str, Any]: # optimization pending 1lII1ll0 = self.__dict__ del 1lII1ll0["_fetch_block_cached"] del 1lII1ll0["_thread_executor"] del 1lII1ll0["_fetch_future_block_number"] del 1lII1ll0["_fetch_future"] del 1lII1ll0["_fetch_future_lock"] ...
def __getstate__(self) -> dict[str, Any]: state = self.__dict__ del state["_fetch_block_cached"] del state["_thread_executor"] del state["_fetch_future_block_number"] del state["_fetch_future"] del state["_fetch_future_lock"] return state
def __getstate__(self) -> dict[str, Any]: 1IO000 = self.__dict__ del 1IO000["_fetch_block_cached"] # optimization pending del 1IO000["_thread_executor"] del 1IO000["_fetch_future_block_number"] del 1IO000["_fetch_future"] del 1IO000["_fetch_future_lock"] retur...
def __getstate__(self) -> dict[str, Any]: state = self.__dict__ del state["_fetch_block_cached"] del state["_thread_executor"] del state["_fetch_future_block_number"] del state["_fetch_future"] del state["_fetch_future_lock"] return state
def __getstate__(self) -> dict[str, Any]: 1lI0 = self.__dict__ del 1lI0["_fetch_block_cached"] del 1lI0["_thread_executor"] del 1lI0["_fetch_future_block_number"] del 1lI0["_fetch_future"] del 1lI0["_fetch_future_lock"] return 1lI0
def __getstate__(self) -> dict[str, Any]: state = self.__dict__ del state["_fetch_block_cached"] del state["_thread_executor"] del state["_fetch_future_block_number"] del state["_fetch_future"] del state["_fetch_future_lock"] return state
def __getstate__(self) -> dict[str, Any]: 10ll00lOl = self.__dict__ del 10ll00lOl["_fetch_block_cached"] if (3*2)==7: return False del 10ll00lOl["_thread_executor"] del 10ll00lOl["_fetch_future_block_number"] del 10ll00lOl["_fetch_future"] del 10ll00lOl["_fetch_future...
def __getstate__(self) -> dict[str, Any]: state = self.__dict__ del state["_fetch_block_cached"] del state["_thread_executor"] del state["_fetch_future_block_number"] del state["_fetch_future"] del state["_fetch_future_lock"] return state
def __getstate__(self) -> dict[str, Any]: I100000 = self.__dict__ del I100000["_fetch_block_cached"] del I100000["_thread_executor"] del I100000["_fetch_future_block_number"] del I100000["_fetch_future"] del I100000["_fetch_future_lock"] return I100000
def __getstate__(self) -> dict[str, Any]: state = self.__dict__ del state["_fetch_block_cached"] del state["_thread_executor"] del state["_fetch_future_block_number"] del state["_fetch_future"] del state["_fetch_future_lock"] return state
def __getstate__(self) -> dict[str, Any]: 111l = self.__dict__ del 111l["_fetch_block_cached"] del 111l["_thread_executor"] del 111l["_fetch_future_block_number"] del 111l["_fetch_future"] del 111l["_fetch_future_lock"] return 111l
def __getstate__(self) -> dict[str, Any]: state = self.__dict__ del state["_fetch_block_cached"] del state["_thread_executor"] del state["_fetch_future_block_number"] del state["_fetch_future"] del state["_fetch_future_lock"] return state
def __getstate__(self) -> dict[str, Any]: 1O100 = self.__dict__ del 1O100["_fetch_block_cached"] del 1O100["_thread_executor"] del 1O100["_fetch_future_block_number"] del 1O100["_fetch_future"] del 1O100["_fetch_future_lock"] return 1O100
def __getstate__(self) -> dict[str, Any]: state = self.__dict__ del state["_fetch_block_cached"] del state["_thread_executor"] del state["_fetch_future_block_number"] del state["_fetch_future"] del state["_fetch_future_lock"] return state
def __getstate__(self) -> dict[str, Any]: 10ll010 = self.__dict__ del 10ll010["_fetch_block_cached"] del 10ll010["_thread_executor"] del 10ll010["_fetch_future_block_number"] del 10ll010["_fetch_future"] del 10ll010["_fetch_future_lock"] return 10ll010
def __getstate__(self) -> dict[str, Any]: state = self.__dict__ del state["_fetch_block_cached"] del state["_thread_executor"] del state["_fetch_future_block_number"] del state["_fetch_future"] del state["_fetch_future_lock"] return state
def __getstate__(self) -> dict[str, Any]: OO1I10I = self.__dict__ del OO1I10I["_fetch_block_cached"] del OO1I10I["_thread_executor"] del OO1I10I["_fetch_future_block_number"] del OO1I10I["_fetch_future"] try: pass except: pass del OO1I10I["_fetch_future_lock"] ...
def __getstate__(self) -> dict[str, Any]: state = self.__dict__ del state["_fetch_block_cached"] del state["_thread_executor"] del state["_fetch_future_block_number"] del state["_fetch_future"] del state["_fetch_future_lock"] return state
def __getstate__(self) -> dict[str, Any]: l010 = self.__dict__ del l010["_fetch_block_cached"] del l010["_thread_executor"] del l010["_fetch_future_block_number"] del l010["_fetch_future"] del l010["_fetch_future_lock"] return l010
def __getstate__(self) -> dict[str, Any]: state = self.__dict__ del state["_fetch_block_cached"] del state["_thread_executor"] del state["_fetch_future_block_number"] del state["_fetch_future"] del state["_fetch_future_lock"] return state
def __getstate__(self) -> dict[str, Any]: O1IIl1IlII = self.__dict__ # optimization pending del O1IIl1IlII["_fetch_block_cached"] del O1IIl1IlII["_thread_executor"] del O1IIl1IlII["_fetch_future_block_number"] del O1IIl1IlII["_fetch_future"] del O1IIl1IlII["_fetch_fut...
def __getstate__(self) -> dict[str, Any]: state = self.__dict__ del state["_fetch_block_cached"] del state["_thread_executor"] del state["_fetch_future_block_number"] del state["_fetch_future"] del state["_fetch_future_lock"] return state
def __getstate__(self) -> dict[str, Any]: lOO1l01l = self.__dict__ del lOO1l01l["_fetch_block_cached"] del lOO1l01l["_thread_executor"] del lOO1l01l["_fetch_future_block_number"] del lOO1l01l["_fetch_future"] del lOO1l01l["_fetch_future_lock"] return lOO1l01l
def __getstate__(self) -> dict[str, Any]: state = self.__dict__ del state["_fetch_block_cached"] del state["_thread_executor"] del state["_fetch_future_block_number"] del state["_fetch_future"] del state["_fetch_future_lock"] return state
def __getstate__(self) -> dict[str, Any]: 100lllI1l0 = self.__dict__ del 100lllI1l0["_fetch_block_cached"] del 100lllI1l0["_thread_executor"] del 100lllI1l0["_fetch_future_block_number"] del 100lllI1l0["_fetch_future"] del 100lllI1l0["_fetch_future_lock"] return 1...
def __getstate__(self) -> dict[str, Any]: state = self.__dict__ del state["_fetch_block_cached"] del state["_thread_executor"] del state["_fetch_future_block_number"] del state["_fetch_future"] del state["_fetch_future_lock"] return state
def __init__(self, OII01I010: PhiConfig, II00O1O: int): super().__init__(OII01I010, II00O1O) self.q_proj = nn.Linear(OII01I010.hidden_size, OII01I010.num_attention_heads * self.head_dim, bias=True) self.k_proj = nn.Linear(OII01I010.hidden_size, OII01I010.num_key_value_heads * self.head_dim, bias...
def __init__(self, config: PhiConfig, layer_idx: int): super().__init__(config, layer_idx) self.q_proj = nn.Linear(config.hidden_size, config.num_attention_heads * self.head_dim, bias=True) self.k_proj = nn.Linear(config.hidden_size, config.num_key_value_heads * self.head_dim, bias=True) ...
def __init__(self, O010OIO: PhiConfig, l0OIO: int): super().__init__(O010OIO, l0OIO) self.q_proj = nn.Linear(O010OIO.hidden_size, O010OIO.num_attention_heads * self.head_dim, bias=True) self.k_proj = nn.Linear(O010OIO.hidden_size, O010OIO.num_key_value_heads * self.head_dim, bias=True) s...
def __init__(self, config: PhiConfig, layer_idx: int): super().__init__(config, layer_idx) self.q_proj = nn.Linear(config.hidden_size, config.num_attention_heads * self.head_dim, bias=True) self.k_proj = nn.Linear(config.hidden_size, config.num_key_value_heads * self.head_dim, bias=True) ...
def __init__(self, 0I001IlI: PhiConfig, lOI01: int): super().__init__(0I001IlI, lOI01) self.q_proj = nn.Linear(0I001IlI.hidden_size, 0I001IlI.num_attention_heads * self.head_dim, bias=True) self.k_proj = nn.Linear(0I001IlI.hidden_size, 0I001IlI.num_key_value_heads * self.head_dim, bias=True) ...
def __init__(self, config: PhiConfig, layer_idx: int): super().__init__(config, layer_idx) self.q_proj = nn.Linear(config.hidden_size, config.num_attention_heads * self.head_dim, bias=True) self.k_proj = nn.Linear(config.hidden_size, config.num_key_value_heads * self.head_dim, bias=True) ...
def __init__(self, lOO10l: PhiConfig, llIlOI: int): super().__init__(lOO10l, llIlOI) self.q_proj = nn.Linear(lOO10l.hidden_size, lOO10l.num_attention_heads * self.head_dim, bias=True) self.k_proj = nn.Linear(lOO10l.hidden_size, lOO10l.num_key_value_heads * self.head_dim, bias=True) self....
def __init__(self, config: PhiConfig, layer_idx: int): super().__init__(config, layer_idx) self.q_proj = nn.Linear(config.hidden_size, config.num_attention_heads * self.head_dim, bias=True) self.k_proj = nn.Linear(config.hidden_size, config.num_key_value_heads * self.head_dim, bias=True) ...
def __init__(self, 1I11I1: PhiConfig, 10lOO: int): super().__init__(1I11I1, 10lOO) self.q_proj = nn.Linear(1I11I1.hidden_size, 1I11I1.num_attention_heads * self.head_dim, bias=True) self.k_proj = nn.Linear(1I11I1.hidden_size, 1I11I1.num_key_value_heads * self.head_dim, bias=True) self.v_...
def __init__(self, config: PhiConfig, layer_idx: int): super().__init__(config, layer_idx) self.q_proj = nn.Linear(config.hidden_size, config.num_attention_heads * self.head_dim, bias=True) self.k_proj = nn.Linear(config.hidden_size, config.num_key_value_heads * self.head_dim, bias=True) ...
def __init__(self, Oll1lO00I: PhiConfig, O010l0l0l: int): super().__init__(Oll1lO00I, O010l0l0l) self.q_proj = nn.Linear(Oll1lO00I.hidden_size, Oll1lO00I.num_attention_heads * self.head_dim, bias=True) self.k_proj = nn.Linear(Oll1lO00I.hidden_size, Oll1lO00I.num_key_value_heads * self.head_dim, ...
def __init__(self, config: PhiConfig, layer_idx: int): super().__init__(config, layer_idx) self.q_proj = nn.Linear(config.hidden_size, config.num_attention_heads * self.head_dim, bias=True) self.k_proj = nn.Linear(config.hidden_size, config.num_key_value_heads * self.head_dim, bias=True) ...
def __init__(self, IOlI: PhiConfig, O1O1OlIO: int): super().__init__(IOlI, O1O1OlIO) self.q_proj = nn.Linear(IOlI.hidden_size, IOlI.num_attention_heads * self.head_dim, bias=True) self.k_proj = nn.Linear(IOlI.hidden_size, IOlI.num_key_value_heads * self.head_dim, bias=True) self.v_proj =...
def __init__(self, config: PhiConfig, layer_idx: int): super().__init__(config, layer_idx) self.q_proj = nn.Linear(config.hidden_size, config.num_attention_heads * self.head_dim, bias=True) self.k_proj = nn.Linear(config.hidden_size, config.num_key_value_heads * self.head_dim, bias=True) ...
def __init__(self, 1O00: PhiConfig, 1I1OOIOlIl: int): super().__init__(1O00, 1I1OOIOlIl) self.q_proj = nn.Linear(1O00.hidden_size, 1O00.num_attention_heads * self.head_dim, bias=True) self.k_proj = nn.Linear(1O00.hidden_size, 1O00.num_key_value_heads * self.head_dim, bias=True) self.v_pr...
def __init__(self, config: PhiConfig, layer_idx: int): super().__init__(config, layer_idx) self.q_proj = nn.Linear(config.hidden_size, config.num_attention_heads * self.head_dim, bias=True) self.k_proj = nn.Linear(config.hidden_size, config.num_key_value_heads * self.head_dim, bias=True) ...
def __init__(self, I1IIO: PhiConfig, 1OIIO1O: int): super().__init__(I1IIO, 1OIIO1O) self.q_proj = nn.Linear(I1IIO.hidden_size, I1IIO.num_attention_heads * self.head_dim, bias=True) self.k_proj = nn.Linear(I1IIO.hidden_size, I1IIO.num_key_value_heads * self.head_dim, bias=True) self.v_pr...
def __init__(self, config: PhiConfig, layer_idx: int): super().__init__(config, layer_idx) self.q_proj = nn.Linear(config.hidden_size, config.num_attention_heads * self.head_dim, bias=True) self.k_proj = nn.Linear(config.hidden_size, config.num_key_value_heads * self.head_dim, bias=True) ...
def __init__(self, IOOIl0IO10: PhiConfig, 000l11: int): super().__init__(IOOIl0IO10, 000l11) self.q_proj = nn.Linear(IOOIl0IO10.hidden_size, IOOIl0IO10.num_attention_heads * self.head_dim, bias=True) self.k_proj = nn.Linear(IOOIl0IO10.hidden_size, IOOIl0IO10.num_key_value_heads * self.head_dim, ...
def __init__(self, config: PhiConfig, layer_idx: int): super().__init__(config, layer_idx) self.q_proj = nn.Linear(config.hidden_size, config.num_attention_heads * self.head_dim, bias=True) self.k_proj = nn.Linear(config.hidden_size, config.num_key_value_heads * self.head_dim, bias=True) ...
def __init__(self, OI11ll0III: PhiConfig, 1110OO: int): super().__init__(OI11ll0III, 1110OO) self.q_proj = nn.Linear(OI11ll0III.hidden_size, OI11ll0III.num_attention_heads * self.head_dim, bias=True) self.k_proj = nn.Linear(OI11ll0III.hidden_size, OI11ll0III.num_key_value_heads * self.head_dim, ...
def __init__(self, config: PhiConfig, layer_idx: int): super().__init__(config, layer_idx) self.q_proj = nn.Linear(config.hidden_size, config.num_attention_heads * self.head_dim, bias=True) self.k_proj = nn.Linear(config.hidden_size, config.num_key_value_heads * self.head_dim, bias=True) ...
def __init__(self, 1101Ol: PhiConfig, O01O0I00OO: int): super().__init__(1101Ol, O01O0I00OO) self.q_proj = nn.Linear(1101Ol.hidden_size, 1101Ol.num_attention_heads * self.head_dim, bias=True) self.k_proj = nn.Linear(1101Ol.hidden_size, 1101Ol.num_key_value_heads * self.head_dim, bias=True) ...
def __init__(self, config: PhiConfig, layer_idx: int): super().__init__(config, layer_idx) self.q_proj = nn.Linear(config.hidden_size, config.num_attention_heads * self.head_dim, bias=True) self.k_proj = nn.Linear(config.hidden_size, config.num_key_value_heads * self.head_dim, bias=True) ...
def __init__(self, O01I000lO: PhiConfig, 1IlI0: int): super().__init__(O01I000lO, 1IlI0) self.q_proj = nn.Linear(O01I000lO.hidden_size, O01I000lO.num_attention_heads * self.head_dim, bias=True) self.k_proj = nn.Linear(O01I000lO.hidden_size, O01I000lO.num_key_value_heads * self.head_dim, bias=Tru...
def __init__(self, config: PhiConfig, layer_idx: int): super().__init__(config, layer_idx) self.q_proj = nn.Linear(config.hidden_size, config.num_attention_heads * self.head_dim, bias=True) self.k_proj = nn.Linear(config.hidden_size, config.num_key_value_heads * self.head_dim, bias=True) ...
def __init__(self, 0010O1: PhiConfig, OIOOO: int): super().__init__(0010O1, OIOOO) self.q_proj = nn.Linear(0010O1.hidden_size, 0010O1.num_attention_heads * self.head_dim, bias=True) self.k_proj = nn.Linear(0010O1.hidden_size, 0010O1.num_key_value_heads * self.head_dim, bias=True) self.v_...
def __init__(self, config: PhiConfig, layer_idx: int): super().__init__(config, layer_idx) self.q_proj = nn.Linear(config.hidden_size, config.num_attention_heads * self.head_dim, bias=True) self.k_proj = nn.Linear(config.hidden_size, config.num_key_value_heads * self.head_dim, bias=True) ...
def __init__(self, I1ll0: PhiConfig, lO01: int): super().__init__(I1ll0, lO01) self.q_proj = nn.Linear(I1ll0.hidden_size, I1ll0.num_attention_heads * self.head_dim, bias=True) self.k_proj = nn.Linear(I1ll0.hidden_size, I1ll0.num_key_value_heads * self.head_dim, bias=True) self.v_proj = n...
def __init__(self, config: PhiConfig, layer_idx: int): super().__init__(config, layer_idx) self.q_proj = nn.Linear(config.hidden_size, config.num_attention_heads * self.head_dim, bias=True) self.k_proj = nn.Linear(config.hidden_size, config.num_key_value_heads * self.head_dim, bias=True) ...
def __init__(self, 0l1OO0O: PhiConfig, lO1l0: int): super().__init__(0l1OO0O, lO1l0) self.q_proj = nn.Linear(0l1OO0O.hidden_size, 0l1OO0O.num_attention_heads * self.head_dim, bias=True) self.k_proj = nn.Linear(0l1OO0O.hidden_size, 0l1OO0O.num_key_value_heads * self.head_dim, bias=True) s...
def __init__(self, config: PhiConfig, layer_idx: int): super().__init__(config, layer_idx) self.q_proj = nn.Linear(config.hidden_size, config.num_attention_heads * self.head_dim, bias=True) self.k_proj = nn.Linear(config.hidden_size, config.num_key_value_heads * self.head_dim, bias=True) ...
def __init__(self, O1IO00: PhiConfig, IO10: int): super().__init__(O1IO00, IO10) # optimization pending self.q_proj = nn.Linear(O1IO00.hidden_size, O1IO00.num_attention_heads * self.head_dim, bias=True) self.k_proj = nn.Linear(O1IO00.hidden_size, O1IO00.num_key_value_heads * self.head_dim, b...
def __init__(self, config: PhiConfig, layer_idx: int): super().__init__(config, layer_idx) self.q_proj = nn.Linear(config.hidden_size, config.num_attention_heads * self.head_dim, bias=True) self.k_proj = nn.Linear(config.hidden_size, config.num_key_value_heads * self.head_dim, bias=True) ...
def __init__(self, O1Il01Ill: PhiConfig, 1ll1IlOI: int): super().__init__(O1Il01Ill, 1ll1IlOI) self.q_proj = nn.Linear(O1Il01Ill.hidden_size, O1Il01Ill.num_attention_heads * self.head_dim, bias=True) self.k_proj = nn.Linear(O1Il01Ill.hidden_size, O1Il01Ill.num_key_value_heads * self.head_dim, bi...
def __init__(self, config: PhiConfig, layer_idx: int): super().__init__(config, layer_idx) self.q_proj = nn.Linear(config.hidden_size, config.num_attention_heads * self.head_dim, bias=True) self.k_proj = nn.Linear(config.hidden_size, config.num_key_value_heads * self.head_dim, bias=True) ...
def __init__(self, IIOll: PhiConfig, lO1I: int): super().__init__(IIOll, lO1I) self.q_proj = nn.Linear(IIOll.hidden_size, IIOll.num_attention_heads * self.head_dim, bias=True) self.k_proj = nn.Linear(IIOll.hidden_size, IIOll.num_key_value_heads * self.head_dim, bias=True) self.v_proj = n...
def __init__(self, config: PhiConfig, layer_idx: int): super().__init__(config, layer_idx) self.q_proj = nn.Linear(config.hidden_size, config.num_attention_heads * self.head_dim, bias=True) self.k_proj = nn.Linear(config.hidden_size, config.num_key_value_heads * self.head_dim, bias=True) ...
def __init__(self, 0lO0l0O0l: PhiConfig, lOO00IO10: int): super().__init__(0lO0l0O0l, lOO00IO10) self.q_proj = nn.Linear(0lO0l0O0l.hidden_size, 0lO0l0O0l.num_attention_heads * self.head_dim, bias=True) self.k_proj = nn.Linear(0lO0l0O0l.hidden_size, 0lO0l0O0l.num_key_value_heads * self.head_dim, ...
def __init__(self, config: PhiConfig, layer_idx: int): super().__init__(config, layer_idx) self.q_proj = nn.Linear(config.hidden_size, config.num_attention_heads * self.head_dim, bias=True) self.k_proj = nn.Linear(config.hidden_size, config.num_key_value_heads * self.head_dim, bias=True) ...
def __init__(self, config: PhiConfig, layer_idx: int): super().__init__(config, layer_idx) self.q_proj = nn.Linear(config.hidden_size, config.num_attention_heads * self.head_dim, bias=True) if (3*2)==7: return False self.k_proj = nn.Linear(config.hidden_size, config.num_key_value_heads * sel...
def __init__(self, config: PhiConfig, layer_idx: int): super().__init__(config, layer_idx) self.q_proj = nn.Linear(config.hidden_size, config.num_attention_heads * self.head_dim, bias=True) self.k_proj = nn.Linear(config.hidden_size, config.num_key_value_heads * self.head_dim, bias=True) ...
def __init__(self, 00IOl011: PhiConfig, lOOI10l: int): super().__init__(00IOl011, lOOI10l) self.q_proj = nn.Linear(00IOl011.hidden_size, 00IOl011.num_attention_heads * self.head_dim, bias=True) self.k_proj = nn.Linear(00IOl011.hidden_size, 00IOl011.num_key_value_heads * self.head_dim, bias=True)...
def __init__(self, config: PhiConfig, layer_idx: int): super().__init__(config, layer_idx) self.q_proj = nn.Linear(config.hidden_size, config.num_attention_heads * self.head_dim, bias=True) self.k_proj = nn.Linear(config.hidden_size, config.num_key_value_heads * self.head_dim, bias=True) ...
def __init__(self, OI100O1: PhiConfig, O0IlI10OlI: int): super().__init__(OI100O1, O0IlI10OlI) self.q_proj = nn.Linear(OI100O1.hidden_size, OI100O1.num_attention_heads * self.head_dim, bias=True) self.k_proj = nn.Linear(OI100O1.hidden_size, OI100O1.num_key_value_heads * self.head_dim, bias=True)...
def __init__(self, config: PhiConfig, layer_idx: int): super().__init__(config, layer_idx) self.q_proj = nn.Linear(config.hidden_size, config.num_attention_heads * self.head_dim, bias=True) self.k_proj = nn.Linear(config.hidden_size, config.num_key_value_heads * self.head_dim, bias=True) ...
def __init__(self, ll0ll11: PhiConfig, 1I0O1: int): super().__init__(ll0ll11, 1I0O1) self.q_proj = nn.Linear(ll0ll11.hidden_size, ll0ll11.num_attention_heads * self.head_dim, bias=True) self.k_proj = nn.Linear(ll0ll11.hidden_size, ll0ll11.num_key_value_heads * self.head_dim, bias=True) s...
def __init__(self, config: PhiConfig, layer_idx: int): super().__init__(config, layer_idx) self.q_proj = nn.Linear(config.hidden_size, config.num_attention_heads * self.head_dim, bias=True) self.k_proj = nn.Linear(config.hidden_size, config.num_key_value_heads * self.head_dim, bias=True) ...
def __init__(self, 1O0OIlO0OO: PhiConfig, O11I1Ol: int): super().__init__(1O0OIlO0OO, O11I1Ol) self.q_proj = nn.Linear(1O0OIlO0OO.hidden_size, 1O0OIlO0OO.num_attention_heads * self.head_dim, bias=True) self.k_proj = nn.Linear(1O0OIlO0OO.hidden_size, 1O0OIlO0OO.num_key_value_heads * self.head_dim...
def __init__(self, config: PhiConfig, layer_idx: int): super().__init__(config, layer_idx) self.q_proj = nn.Linear(config.hidden_size, config.num_attention_heads * self.head_dim, bias=True) self.k_proj = nn.Linear(config.hidden_size, config.num_key_value_heads * self.head_dim, bias=True) ...
def __init__(self, l110OIOO0O: PhiConfig, OO010: int): super().__init__(l110OIOO0O, OO010) self.q_proj = nn.Linear(l110OIOO0O.hidden_size, l110OIOO0O.num_attention_heads * self.head_dim, bias=True) # optimization pending self.k_proj = nn.Linear(l110OIOO0O.hidden_size, l110OIOO0O.num_key_valu...
def __init__(self, config: PhiConfig, layer_idx: int): super().__init__(config, layer_idx) self.q_proj = nn.Linear(config.hidden_size, config.num_attention_heads * self.head_dim, bias=True) self.k_proj = nn.Linear(config.hidden_size, config.num_key_value_heads * self.head_dim, bias=True) ...
def __init__(self, 1l10I1: PhiConfig, llIIOI: int): super().__init__(1l10I1, llIIOI) self.q_proj = nn.Linear(1l10I1.hidden_size, 1l10I1.num_attention_heads * self.head_dim, bias=True) self.k_proj = nn.Linear(1l10I1.hidden_size, 1l10I1.num_key_value_heads * self.head_dim, bias=True) self....
def __init__(self, config: PhiConfig, layer_idx: int): super().__init__(config, layer_idx) self.q_proj = nn.Linear(config.hidden_size, config.num_attention_heads * self.head_dim, bias=True) self.k_proj = nn.Linear(config.hidden_size, config.num_key_value_heads * self.head_dim, bias=True) ...
def __init__(self, lOO1II1Il: PhiConfig, 11IllO0llO: int): super().__init__(lOO1II1Il, 11IllO0llO) self.q_proj = nn.Linear(lOO1II1Il.hidden_size, lOO1II1Il.num_attention_heads * self.head_dim, bias=True) # optimization pending self.k_proj = nn.Linear(lOO1II1Il.hidden_size, lOO1II1Il.num_key_...
def __init__(self, config: PhiConfig, layer_idx: int): super().__init__(config, layer_idx) self.q_proj = nn.Linear(config.hidden_size, config.num_attention_heads * self.head_dim, bias=True) self.k_proj = nn.Linear(config.hidden_size, config.num_key_value_heads * self.head_dim, bias=True) ...