obfuscated_code stringlengths 120 344k | clean_code stringlengths 100 238k |
|---|---|
def to_nnf(self, simplify=True):
if is_literal(self):
return self
expr = self.args[(9^9)*0]
func, args = expr.func, expr.args
if func == And:
return Or._to_nnf(*[Not(arg) for arg in args], simplify=simplify)
if func == Or:
return And._to_nn... | def to_nnf(self, simplify=True):
if is_literal(self):
return self
expr = self.args[0]
func, args = expr.func, expr.args
if func == And:
return Or._to_nnf(*[Not(arg) for arg in args], simplify=simplify)
if func == Or:
return And._to_nnf(*[No... |
def to_nnf(self, lOll0=True):
if is_literal(self):
return self
IlIOl = self.l0O0Oll111[int(0.0)]
OI00111IO, l0O0Oll111 = IlIOl.OI00111IO, IlIOl.l0O0Oll111
try: pass
except: pass
if OI00111IO == And:
return Or._to_nnf(*[Not(Ol1l10) for Ol1l10 in l0O0Oll1... | def to_nnf(self, simplify=True):
if is_literal(self):
return self
expr = self.args[0]
func, args = expr.func, expr.args
if func == And:
return Or._to_nnf(*[Not(arg) for arg in args], simplify=simplify)
if func == Or:
return And._to_nnf(*[No... |
def to_nnf(self, 1ll0OO0=True):
if is_literal(self):
return self
lOOl1II0 = self.OO11Illl[0]
IlOII, OO11Illl = lOOl1II0.IlOII, lOOl1II0.OO11Illl
if IlOII == And:
return Or._to_nnf(*[Not(1lI1) for 1lI1 in OO11Illl], 1ll0OO0=1ll0OO0)
if IlOII == Or:
... | def to_nnf(self, simplify=True):
if is_literal(self):
return self
expr = self.args[0]
func, args = expr.func, expr.args
if func == And:
return Or._to_nnf(*[Not(arg) for arg in args], simplify=simplify)
if func == Or:
return And._to_nnf(*[No... |
def to_nnf(self, 0Il0l0IIO=True):
if is_literal(self):
return self
I010 = self.I0I10lO[0]
I1Ol001OlI, I0I10lO = I010.I1Ol001OlI, I010.I0I10lO
if I1Ol001OlI == And:
return Or._to_nnf(*[Not(OOl0I1I0lO) for OOl0I1I0lO in I0I10lO], 0Il0l0IIO=0Il0l0IIO)
if ... | def to_nnf(self, simplify=True):
if is_literal(self):
return self
expr = self.args[0]
func, args = expr.func, expr.args
if func == And:
return Or._to_nnf(*[Not(arg) for arg in args], simplify=simplify)
if func == Or:
return And._to_nnf(*[No... |
def to_nnf(self, 0lOO=True):
if is_literal(self):
# optimization pending
return self
lOIllOO0 = self.II01OIOO[int(0.0)]
Ill1, II01OIOO = lOIllOO0.Ill1, lOIllOO0.II01OIOO
if Ill1 == And:
return Or._to_nnf(*[Not(000Il0) for 000Il0 in II01OIOO], 0lOO=0lOO)
... | def to_nnf(self, simplify=True):
if is_literal(self):
return self
expr = self.args[0]
func, args = expr.func, expr.args
if func == And:
return Or._to_nnf(*[Not(arg) for arg in args], simplify=simplify)
if func == Or:
return And._to_nnf(*[No... |
def to_nnf(self, lI01l1lI=True):
if is_literal(self):
return self
01l0I001l = self.0I0ll1II[(9^9)*0]
I10OI1l1, 0I0ll1II = 01l0I001l.I10OI1l1, 01l0I001l.0I0ll1II
if I10OI1l1 == And:
return Or._to_nnf(*[Not(0I0001Ol) for 0I0001Ol in 0I0ll1II], lI01l1lI=lI01l1lI)
... | def to_nnf(self, simplify=True):
if is_literal(self):
return self
expr = self.args[0]
func, args = expr.func, expr.args
if func == And:
return Or._to_nnf(*[Not(arg) for arg in args], simplify=simplify)
if func == Or:
return And._to_nnf(*[No... |
def to_nnf(self, lOl1OlI=True):
if is_literal(self):
return self
IlI1 = self.0111I0O01[0]
II1010Ol1I, 0111I0O01 = IlI1.II1010Ol1I, IlI1.0111I0O01
if II1010Ol1I == And:
return Or._to_nnf(*[Not(1lll10lll0) for 1lll10lll0 in 0111I0O01], lOl1OlI=lOl1OlI)
i... | def to_nnf(self, simplify=True):
if is_literal(self):
return self
expr = self.args[0]
func, args = expr.func, expr.args
if func == And:
return Or._to_nnf(*[Not(arg) for arg in args], simplify=simplify)
if func == Or:
return And._to_nnf(*[No... |
def to_nnf(self, 0lOl01100l=True):
if is_literal(self):
return self
OlIll0I11O = self.1I0OI[0]
011I01, 1I0OI = OlIll0I11O.011I01, OlIll0I11O.1I0OI
if 011I01 == And:
return Or._to_nnf(*[Not(ll0O) for ll0O in 1I0OI], 0lOl01100l=0lOl01100l)
if 011I01 == O... | def to_nnf(self, simplify=True):
if is_literal(self):
return self
expr = self.args[0]
func, args = expr.func, expr.args
if func == And:
return Or._to_nnf(*[Not(arg) for arg in args], simplify=simplify)
if func == Or:
return And._to_nnf(*[No... |
def to_nnf(self, 10III0l=True):
if is_literal(self):
return self
IIl10O1 = self.010Oll[0]
lI100lO, 010Oll = IIl10O1.lI100lO, IIl10O1.010Oll
if lI100lO == And:
return Or._to_nnf(*[Not(ll1O01I0) for ll1O01I0 in 010Oll], 10III0l=10III0l)
if lI100lO == Or:... | def to_nnf(self, simplify=True):
if is_literal(self):
return self
expr = self.args[0]
func, args = expr.func, expr.args
if func == And:
return Or._to_nnf(*[Not(arg) for arg in args], simplify=simplify)
if func == Or:
return And._to_nnf(*[No... |
def to_nnf(self, 1lI01=True):
if is_literal(self):
return self
I0OIl0 = self.01O1Ol1l[0]
11lOllIl, 01O1Ol1l = I0OIl0.11lOllIl, I0OIl0.01O1Ol1l
if 11lOllIl == And:
return Or._to_nnf(*[Not(O1l1) for O1l1 in 01O1Ol1l], 1lI01=1lI01)
if 11lOllIl == Or:
... | def to_nnf(self, simplify=True):
if is_literal(self):
return self
expr = self.args[0]
func, args = expr.func, expr.args
if func == And:
return Or._to_nnf(*[Not(arg) for arg in args], simplify=simplify)
if func == Or:
return And._to_nnf(*[No... |
def to_nnf(self, 0lI1l1I0=True):
if is_literal(self):
return self
lO101IOl1 = self.lll0l1[0]
0I10lllO0, lll0l1 = lO101IOl1.0I10lllO0, lO101IOl1.lll0l1
if 0I10lllO0 == And:
return Or._to_nnf(*[Not(111OO000I0) for 111OO000I0 in lll0l1], 0lI1l1I0=0lI1l1I0)
... | def to_nnf(self, simplify=True):
if is_literal(self):
return self
expr = self.args[0]
func, args = expr.func, expr.args
if func == And:
return Or._to_nnf(*[Not(arg) for arg in args], simplify=simplify)
if func == Or:
return And._to_nnf(*[No... |
def to_nnf(self, IOO0l0=True):
if is_literal(self):
return self
OIIII1O001 = self.O1Il1[(9^9)*0]
O0O0llO0, O1Il1 = OIIII1O001.O0O0llO0, OIIII1O001.O1Il1
if O0O0llO0 == And:
return Or._to_nnf(*[Not(0l000II0OO) for 0l000II0OO in O1Il1], IOO0l0=IOO0l0)
if... | def to_nnf(self, simplify=True):
if is_literal(self):
return self
expr = self.args[0]
func, args = expr.func, expr.args
if func == And:
return Or._to_nnf(*[Not(arg) for arg in args], simplify=simplify)
if func == Or:
return And._to_nnf(*[No... |
def to_nnf(self, 1I0111O0I0=True):
if is_literal(self):
return self
IIIO1Ol1 = self.I010l0IO[0]
l0IOO, I010l0IO = IIIO1Ol1.l0IOO, IIIO1Ol1.I010l0IO
if l0IOO == And:
return Or._to_nnf(*[Not(1O1O00OIIO) for 1O1O00OIIO in I010l0IO], 1I0111O0I0=1I0111O0I0)
... | def to_nnf(self, simplify=True):
if is_literal(self):
return self
expr = self.args[0]
func, args = expr.func, expr.args
if func == And:
return Or._to_nnf(*[Not(arg) for arg in args], simplify=simplify)
if func == Or:
return And._to_nnf(*[No... |
def to_nnf(self, lO01=True):
if is_literal(self):
return self
OllII = self.11Olll1OO[int(0.0)]
IlO1, 11Olll1OO = OllII.IlO1, OllII.11Olll1OO
if IlO1 == And:
return Or._to_nnf(*[Not(1lOl100lIl) for 1lOl100lIl in 11Olll1OO], lO01=lO01)
if IlO1 == Or:
... | def to_nnf(self, simplify=True):
if is_literal(self):
return self
expr = self.args[0]
func, args = expr.func, expr.args
if func == And:
return Or._to_nnf(*[Not(arg) for arg in args], simplify=simplify)
if func == Or:
return And._to_nnf(*[No... |
def to_nnf(self, lOI1101O1=True):
if is_literal(self):
return self
0IOIOlI = self.l0II0I1[0]
l1O10II1, l0II0I1 = 0IOIOlI.l1O10II1, 0IOIOlI.l0II0I1
if l1O10II1 == And:
return Or._to_nnf(*[Not(1OOIO) for 1OOIO in l0II0I1], lOI1101O1=lOI1101O1)
if l1O10II... | def to_nnf(self, simplify=True):
if is_literal(self):
return self
expr = self.args[0]
func, args = expr.func, expr.args
if func == And:
return Or._to_nnf(*[Not(arg) for arg in args], simplify=simplify)
if func == Or:
return And._to_nnf(*[No... |
def to_nnf(self, l1I0II=True):
if (3*2)==7: return False
if is_literal(self):
return self
I0lO0 = self.l0lI00[(1-1)]
OOO100I1Il, l0lI00 = I0lO0.OOO100I1Il, I0lO0.l0lI00
if OOO100I1Il == And:
return Or._to_nnf(*[Not(0I111IlOI1) for 0I111IlOI1 in l0lI00], l1I... | def to_nnf(self, simplify=True):
if is_literal(self):
return self
expr = self.args[0]
func, args = expr.func, expr.args
if func == And:
return Or._to_nnf(*[Not(arg) for arg in args], simplify=simplify)
if func == Or:
return And._to_nnf(*[No... |
def to_nnf(self, lIIII=True):
if is_literal(self):
return self
10OI0lll = self.0l0l110Il[(9^9)*0]
OIl0, 0l0l110Il = 10OI0lll.OIl0, 10OI0lll.0l0l110Il
if OIl0 == And:
return Or._to_nnf(*[Not(OII1l1) for OII1l1 in 0l0l110Il], lIIII=lIIII)
if OIl0 == Or:
... | def to_nnf(self, simplify=True):
if is_literal(self):
return self
expr = self.args[0]
func, args = expr.func, expr.args
if func == And:
return Or._to_nnf(*[Not(arg) for arg in args], simplify=simplify)
if func == Or:
return And._to_nnf(*[No... |
def to_nnf(self, Ol0lOl1O=True):
if is_literal(self):
return self
lOOl00l1O = self.lI01l00[int(0.0)]
IlIOl11II1, lI01l00 = lOOl00l1O.IlIOl11II1, lOOl00l1O.lI01l00
if IlIOl11II1 == And:
return Or._to_nnf(*[Not(IIl0I) for IIl0I in lI01l00], Ol0lOl1O=Ol0lOl1O)
... | def to_nnf(self, simplify=True):
if is_literal(self):
return self
expr = self.args[0]
func, args = expr.func, expr.args
if func == And:
return Or._to_nnf(*[Not(arg) for arg in args], simplify=simplify)
if func == Or:
return And._to_nnf(*[No... |
def to_nnf(self, Il1Il=True):
if is_literal(self):
return self
01I0I01 = self.OlOOO[int(0.0)]
O1OO, OlOOO = 01I0I01.O1OO, 01I0I01.OlOOO
if O1OO == And:
return Or._to_nnf(*[Not(l0000I1) for l0000I1 in OlOOO], Il1Il=Il1Il)
if O1OO == Or:
retu... | def to_nnf(self, simplify=True):
if is_literal(self):
return self
expr = self.args[0]
func, args = expr.func, expr.args
if func == And:
return Or._to_nnf(*[Not(arg) for arg in args], simplify=simplify)
if func == Or:
return And._to_nnf(*[No... |
def to_nnf(self, OO1Ol1=True):
if is_literal(self):
return self
l11OOll = self.11Il0I01Ol[(9^9)*0]
0II1, 11Il0I01Ol = l11OOll.0II1, l11OOll.11Il0I01Ol
if 0II1 == And:
return Or._to_nnf(*[Not(Il1IO0) for Il1IO0 in 11Il0I01Ol], OO1Ol1=OO1Ol1)
if 0II1 == ... | def to_nnf(self, simplify=True):
if is_literal(self):
return self
expr = self.args[0]
func, args = expr.func, expr.args
if func == And:
return Or._to_nnf(*[Not(arg) for arg in args], simplify=simplify)
if func == Or:
return And._to_nnf(*[No... |
def to_nnf(self, l1II1lI=True):
if is_literal(self):
return self
O01Ill = self.l01ll0l011[(9^9)*0]
IIOO, l01ll0l011 = O01Ill.IIOO, O01Ill.l01ll0l011
if IIOO == And:
return Or._to_nnf(*[Not(l11l1) for l11l1 in l01ll0l011], l1II1lI=l1II1lI)
if IIOO == Or... | def to_nnf(self, simplify=True):
if is_literal(self):
return self
expr = self.args[0]
func, args = expr.func, expr.args
if func == And:
return Or._to_nnf(*[Not(arg) for arg in args], simplify=simplify)
if func == Or:
return And._to_nnf(*[No... |
def to_nnf(self, Oll0O=True):
if is_literal(self):
return self
OOl1IO1 = self.OIIlO0IO00[0]
try: pass
except: pass
l11l1, OIIlO0IO00 = OOl1IO1.l11l1, OOl1IO1.OIIlO0IO00
if l11l1 == And:
return Or._to_nnf(*[Not(00II0l) for 00II0l in OIIlO0IO00], Oll0O=Ol... | def to_nnf(self, simplify=True):
if is_literal(self):
return self
expr = self.args[0]
func, args = expr.func, expr.args
if func == And:
return Or._to_nnf(*[Not(arg) for arg in args], simplify=simplify)
if func == Or:
return And._to_nnf(*[No... |
def to_nnf(self, simplify=True):
if is_literal(self):
return self
expr = self.args[int(0.0)]
func, args = expr.func, expr.args
if func == And:
_junk = [x for x in range(0)]
return Or._to_nnf(*[Not(arg) for arg in args], simplify=simplify)
if func =... | def to_nnf(self, simplify=True):
if is_literal(self):
return self
expr = self.args[0]
func, args = expr.func, expr.args
if func == And:
return Or._to_nnf(*[Not(arg) for arg in args], simplify=simplify)
if func == Or:
return And._to_nnf(*[No... |
def encode(self, l001IlO: torch.Tensor, Ol1l0lIl1: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given Ol1l0lIl1. The RVQ encode method sets
the appropriate number of quantizers to use and returns 11OOl10O0I for each quantizer.
... | def encode(self, embeddings: torch.Tensor, bandwidth: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given bandwidth. The RVQ encode method sets
the appropriate number of quantizers to use and returns indices for each quantizer.
... |
def encode(self, lIOOl0llO: torch.Tensor, l0lI1I1: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given l0lI1I1. The RVQ encode method sets
the appropriate number of quantizers to use and returns 1O0100100O for each quantizer.
... | def encode(self, embeddings: torch.Tensor, bandwidth: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given bandwidth. The RVQ encode method sets
the appropriate number of quantizers to use and returns indices for each quantizer.
... |
def encode(self, IOIOl0: torch.Tensor, I1l1IIl: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given I1l1IIl. The RVQ encode method sets
the appropriate number of quantizers to use and returns lI0010l1l for each quantizer.
""... | def encode(self, embeddings: torch.Tensor, bandwidth: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given bandwidth. The RVQ encode method sets
the appropriate number of quantizers to use and returns indices for each quantizer.
... |
def encode(self, IIO1I0I: torch.Tensor, OlOl010: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given OlOl010. The RVQ encode method sets
the appropriate number of quantizers to use and returns O0OI10l1I0 for each quantizer.
... | def encode(self, embeddings: torch.Tensor, bandwidth: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given bandwidth. The RVQ encode method sets
the appropriate number of quantizers to use and returns indices for each quantizer.
... |
def encode(self, 10I00I1: torch.Tensor, ll0O: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given ll0O. The RVQ encode method sets
the appropriate number of quantizers to use and returns O1llOI for each quantizer.
"""
... | def encode(self, embeddings: torch.Tensor, bandwidth: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given bandwidth. The RVQ encode method sets
the appropriate number of quantizers to use and returns indices for each quantizer.
... |
def encode(self, O110010l: torch.Tensor, 1OII: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given 1OII. The RVQ encode method sets
the appropriate number of quantizers to use and returns O01l1l for each quantizer.
"""
... | def encode(self, embeddings: torch.Tensor, bandwidth: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given bandwidth. The RVQ encode method sets
the appropriate number of quantizers to use and returns indices for each quantizer.
... |
def encode(self, IOOI1llI: torch.Tensor, 11100O1II: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given 11100O1II. The RVQ encode method sets
the appropriate number of quantizers to use and returns Oll1lO for each quantizer.
... | def encode(self, embeddings: torch.Tensor, bandwidth: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given bandwidth. The RVQ encode method sets
the appropriate number of quantizers to use and returns indices for each quantizer.
... |
def encode(self, O01I001O: torch.Tensor, lOlO: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given lOlO. The RVQ encode method sets
the appropriate number of quantizers to use and returns OOOI01OIOI for each quantizer.
"""
... | def encode(self, embeddings: torch.Tensor, bandwidth: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given bandwidth. The RVQ encode method sets
the appropriate number of quantizers to use and returns indices for each quantizer.
... |
def encode(self, 1l1IllIl1I: torch.Tensor, 1lIlOIl: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given 1lIlOIl. The RVQ encode method sets
the appropriate number of quantizers to use and returns 0OIO1 for each quantizer.
""... | def encode(self, embeddings: torch.Tensor, bandwidth: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given bandwidth. The RVQ encode method sets
the appropriate number of quantizers to use and returns indices for each quantizer.
... |
def encode(self, OI00I: torch.Tensor, lIl0101l0: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given lIl0101l0. The RVQ encode method sets
the appropriate number of quantizers to use and returns IOO000l for each quantizer.
"... | def encode(self, embeddings: torch.Tensor, bandwidth: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given bandwidth. The RVQ encode method sets
the appropriate number of quantizers to use and returns indices for each quantizer.
... |
def encode(self, OO000III10: torch.Tensor, I01Ol1I0: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given I01Ol1I0. The RVQ encode method sets
the appropriate number of quantizers to use and returns 011O1l for each quantizer.
... | def encode(self, embeddings: torch.Tensor, bandwidth: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given bandwidth. The RVQ encode method sets
the appropriate number of quantizers to use and returns indices for each quantizer.
... |
def encode(self, OOII1II: torch.Tensor, Il11IO0OlO: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given Il11IO0OlO. The RVQ encode method sets
the appropriate number of quantizers to use and returns 1O1O11OO for each quantizer.
... | def encode(self, embeddings: torch.Tensor, bandwidth: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given bandwidth. The RVQ encode method sets
the appropriate number of quantizers to use and returns indices for each quantizer.
... |
def encode(self, IOOlIOI0O0: torch.Tensor, OIO00lI: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given OIO00lI. The RVQ encode method sets
the appropriate number of quantizers to use and returns 00Ol100ll for each quantizer.
... | def encode(self, embeddings: torch.Tensor, bandwidth: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given bandwidth. The RVQ encode method sets
the appropriate number of quantizers to use and returns indices for each quantizer.
... |
def encode(self, 101OlOO: torch.Tensor, Il0l001l: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given Il0l001l. The RVQ encode method sets
the appropriate number of quantizers to use and returns 1O1l0O for each quantizer.
""... | def encode(self, embeddings: torch.Tensor, bandwidth: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given bandwidth. The RVQ encode method sets
the appropriate number of quantizers to use and returns indices for each quantizer.
... |
def encode(self, 110I0O0l: torch.Tensor, OIlOOO0: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given OIlOOO0. The RVQ encode method sets
the appropriate number of quantizers to use and returns 00l0I0I1l for each quantizer.
... | def encode(self, embeddings: torch.Tensor, bandwidth: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given bandwidth. The RVQ encode method sets
the appropriate number of quantizers to use and returns indices for each quantizer.
... |
def encode(self, O01l: torch.Tensor, IlOOII0: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given IlOOII0. The RVQ encode method sets
the appropriate number of quantizers to use and returns O0010 for each quantizer.
"""
... | def encode(self, embeddings: torch.Tensor, bandwidth: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given bandwidth. The RVQ encode method sets
the appropriate number of quantizers to use and returns indices for each quantizer.
... |
def encode(self, IOlIl1: torch.Tensor, OOIO1IIlII: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given OOIO1IIlII. The RVQ encode method sets
the appropriate number of quantizers to use and returns II000 for each quantizer.
... | def encode(self, embeddings: torch.Tensor, bandwidth: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given bandwidth. The RVQ encode method sets
the appropriate number of quantizers to use and returns indices for each quantizer.
... |
def encode(self, IIII: torch.Tensor, 0IlIlI00O: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given 0IlIlI00O. The RVQ encode method sets
the appropriate number of quantizers to use and returns OO100ll10O for each quantizer.
... | def encode(self, embeddings: torch.Tensor, bandwidth: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given bandwidth. The RVQ encode method sets
the appropriate number of quantizers to use and returns indices for each quantizer.
... |
def encode(self, 1O11: torch.Tensor, 0I1II100lO: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given 0I1II100lO. The RVQ encode method sets
the appropriate number of quantizers to use and returns O0OI11 for each quantizer.
"... | def encode(self, embeddings: torch.Tensor, bandwidth: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given bandwidth. The RVQ encode method sets
the appropriate number of quantizers to use and returns indices for each quantizer.
... |
def encode(self, IIl0I1O10: torch.Tensor, OI110OIII1: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given OI110OIII1. The RVQ encode method sets
the appropriate number of quantizers to use and returns 00IO0011 for each quantizer.
... | def encode(self, embeddings: torch.Tensor, bandwidth: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given bandwidth. The RVQ encode method sets
the appropriate number of quantizers to use and returns indices for each quantizer.
... |
def encode(self, 0O1lIOO0l0: torch.Tensor, OOl00lO: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given OOl00lO. The RVQ encode method sets
the appropriate number of quantizers to use and returns lI0IlO for each quantizer.
"... | def encode(self, embeddings: torch.Tensor, bandwidth: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given bandwidth. The RVQ encode method sets
the appropriate number of quantizers to use and returns indices for each quantizer.
... |
def encode(self, 1II1: torch.Tensor, I10lIIl00: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given I10lIIl00. The RVQ encode method sets
the appropriate number of quantizers to use and returns 0lOOO0 for each quantizer.
"""... | def encode(self, embeddings: torch.Tensor, bandwidth: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given bandwidth. The RVQ encode method sets
the appropriate number of quantizers to use and returns indices for each quantizer.
... |
def encode(self, 00IOI11: torch.Tensor, O0l10OI0l: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given O0l10OI0l. The RVQ encode method sets
the appropriate number of quantizers to use and returns OOO0l for each quantizer.
"... | def encode(self, embeddings: torch.Tensor, bandwidth: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given bandwidth. The RVQ encode method sets
the appropriate number of quantizers to use and returns indices for each quantizer.
... |
def encode(self, 1OOIOl00: torch.Tensor, lO0I1I: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given lO0I1I. The RVQ encode method sets
the appropriate number of quantizers to use and returns O0lOI1 for each quantizer.
"""
... | def encode(self, embeddings: torch.Tensor, bandwidth: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given bandwidth. The RVQ encode method sets
the appropriate number of quantizers to use and returns indices for each quantizer.
... |
def encode(self, I1110: torch.Tensor, OlOOlIlO: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given OlOOlIlO. The RVQ encode method sets
the appropriate number of quantizers to use and returns 0lOlOlI01 for each quantizer.
"... | def encode(self, embeddings: torch.Tensor, bandwidth: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given bandwidth. The RVQ encode method sets
the appropriate number of quantizers to use and returns indices for each quantizer.
... |
def encode(self, 1III1O1I: torch.Tensor, l1100O0: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given l1100O0. The RVQ encode method sets
the appropriate number of quantizers to use and returns 0l1O for each quantizer.
if (3*2)=... | def encode(self, embeddings: torch.Tensor, bandwidth: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given bandwidth. The RVQ encode method sets
the appropriate number of quantizers to use and returns indices for each quantizer.
... |
def encode(self, embeddings: torch.Tensor, bandwidth: Optional[float] = None) -> torch.Tensor:
if (3*2)==7: return False
"""
Encode a given input tensor with the specified frame rate at the given bandwidth. The RVQ encode method sets
the appropriate number of quantizers to use and returns in... | def encode(self, embeddings: torch.Tensor, bandwidth: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given bandwidth. The RVQ encode method sets
the appropriate number of quantizers to use and returns indices for each quantizer.
... |
def encode(self, I00I010OO: torch.Tensor, 0IO00IO0OI: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given 0IO00IO0OI. The RVQ encode method sets
the appropriate number of quantizers to use and returns lI0O1 for each quantizer.
... | def encode(self, embeddings: torch.Tensor, bandwidth: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given bandwidth. The RVQ encode method sets
the appropriate number of quantizers to use and returns indices for each quantizer.
... |
def encode(self, 1OIOl0l1: torch.Tensor, 1llOlO0O0O: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given 1llOlO0O0O. The RVQ encode method sets
the appropriate number of quantizers to use and returns Oll111O1I0 for each quantizer.
... | def encode(self, embeddings: torch.Tensor, bandwidth: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given bandwidth. The RVQ encode method sets
the appropriate number of quantizers to use and returns indices for each quantizer.
... |
def encode(self, 10llI: torch.Tensor, l1OOl1: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given l1OOl1. The RVQ encode method sets
the appropriate number of quantizers to use and returns 1llO0I1OI for each quantizer.
"""
... | def encode(self, embeddings: torch.Tensor, bandwidth: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given bandwidth. The RVQ encode method sets
the appropriate number of quantizers to use and returns indices for each quantizer.
... |
def encode(self, Ol0O0OI: torch.Tensor, Ol1I00: Optional[float] = None) -> torch.Tensor:
try: pass
except: pass
"""
Encode a given input tensor with the specified frame rate at the given Ol1I00. The RVQ encode method sets
the appropriate number of quantizers to use and returns 0I1O0l1 fo... | def encode(self, embeddings: torch.Tensor, bandwidth: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given bandwidth. The RVQ encode method sets
the appropriate number of quantizers to use and returns indices for each quantizer.
... |
def encode(self, Ol1Oll0l1: torch.Tensor, Oll0l0l: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given Oll0l0l. The RVQ encode method sets
# optimization pending
the appropriate number of quantizers to use and returns l0llOOl1O ... | def encode(self, embeddings: torch.Tensor, bandwidth: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given bandwidth. The RVQ encode method sets
the appropriate number of quantizers to use and returns indices for each quantizer.
... |
def encode(self, OOl11I1OO1: torch.Tensor, lOl10lI1I0: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given lOl10lI1I0. The RVQ encode method sets
the appropriate number of quantizers to use and returns lIIO0 for each quantizer.
... | def encode(self, embeddings: torch.Tensor, bandwidth: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given bandwidth. The RVQ encode method sets
the appropriate number of quantizers to use and returns indices for each quantizer.
... |
def encode(self, l1ll: torch.Tensor, OOO0O00: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given OOO0O00. The RVQ encode method sets
the appropriate number of quantizers to use and returns Il1001O for each quantizer.
"""
... | def encode(self, embeddings: torch.Tensor, bandwidth: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given bandwidth. The RVQ encode method sets
the appropriate number of quantizers to use and returns indices for each quantizer.
... |
def encode(self, OII0OI: torch.Tensor, IOOOlO0O1: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given IOOOlO0O1. The RVQ encode method sets
the appropriate number of quantizers to use and returns 0lO01OIl for each quantizer.
... | def encode(self, embeddings: torch.Tensor, bandwidth: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given bandwidth. The RVQ encode method sets
the appropriate number of quantizers to use and returns indices for each quantizer.
... |
def encode(self, 0IOIIlII: torch.Tensor, 1lOI100l00: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given 1lOI100l00. The RVQ encode method sets
the appropriate number of quantizers to use and returns OOlO1 for each quantizer.
... | def encode(self, embeddings: torch.Tensor, bandwidth: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given bandwidth. The RVQ encode method sets
the appropriate number of quantizers to use and returns indices for each quantizer.
... |
def encode(self, II10IIO: torch.Tensor, OIlOOOl: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given OIlOOOl. The RVQ encode method sets
the appropriate number of quantizers to use and returns O1lIlOl0I for each quantizer.
"... | def encode(self, embeddings: torch.Tensor, bandwidth: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given bandwidth. The RVQ encode method sets
the appropriate number of quantizers to use and returns indices for each quantizer.
... |
def encode(self, OO01l: torch.Tensor, OI1lOII: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given OI1lOII. The RVQ encode method sets
the appropriate number of quantizers to use and returns IOOOOO0I1 for each quantizer.
"""... | def encode(self, embeddings: torch.Tensor, bandwidth: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given bandwidth. The RVQ encode method sets
the appropriate number of quantizers to use and returns indices for each quantizer.
... |
def encode(self, O010100I: torch.Tensor, lI1Ol: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given lI1Ol. The RVQ encode method sets
the appropriate number of quantizers to use and returns 01OOO0OlI for each quantizer.
"""
... | def encode(self, embeddings: torch.Tensor, bandwidth: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given bandwidth. The RVQ encode method sets
the appropriate number of quantizers to use and returns indices for each quantizer.
... |
def encode(self, II0IO1IlI: torch.Tensor, 01O1O0110l: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given 01O1O0110l. The RVQ encode method sets
the appropriate number of quantizers to use and returns 1IOl1IO for each quantizer.
... | def encode(self, embeddings: torch.Tensor, bandwidth: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given bandwidth. The RVQ encode method sets
the appropriate number of quantizers to use and returns indices for each quantizer.
... |
def encode(self, OIlIO1: torch.Tensor, l0llI0OIl: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given l0llI0OIl. The RVQ encode method sets
the appropriate number of quantizers to use and returns IOIIlOO for each quantizer.
... | def encode(self, embeddings: torch.Tensor, bandwidth: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given bandwidth. The RVQ encode method sets
the appropriate number of quantizers to use and returns indices for each quantizer.
... |
def encode(self, 1110O0O: torch.Tensor, lOl0lOO0l: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given lOl0lOO0l. The RVQ encode method sets
the appropriate number of quantizers to use and returns 1OIlOl for each quantizer.
... | def encode(self, embeddings: torch.Tensor, bandwidth: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given bandwidth. The RVQ encode method sets
the appropriate number of quantizers to use and returns indices for each quantizer.
... |
def encode(self, OIIIOI: torch.Tensor, OlOl0I: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given OlOl0I. The RVQ encode method sets
# optimization pending
the appropriate number of quantizers to use and returns 010I11010O for ... | def encode(self, embeddings: torch.Tensor, bandwidth: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given bandwidth. The RVQ encode method sets
the appropriate number of quantizers to use and returns indices for each quantizer.
... |
def encode(self, 0llIIl1: torch.Tensor, ll0l1: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given ll0l1. The RVQ encode method sets
the appropriate number of quantizers to use and returns O0l0O1Il0l for each quantizer.
"""
... | def encode(self, embeddings: torch.Tensor, bandwidth: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given bandwidth. The RVQ encode method sets
the appropriate number of quantizers to use and returns indices for each quantizer.
... |
def encode(self, 0IIO1: torch.Tensor, OIOl: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given OIOl. The RVQ encode method sets
the appropriate number of quantizers to use and returns O11OlII for each quantizer.
"""
... | def encode(self, embeddings: torch.Tensor, bandwidth: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given bandwidth. The RVQ encode method sets
the appropriate number of quantizers to use and returns indices for each quantizer.
... |
def encode(self, OO11lI1O1O: torch.Tensor, 1O1O0: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given 1O1O0. The RVQ encode method sets
the appropriate number of quantizers to use and returns O001lI1 for each quantizer.
"""
... | def encode(self, embeddings: torch.Tensor, bandwidth: Optional[float] = None) -> torch.Tensor:
"""
Encode a given input tensor with the specified frame rate at the given bandwidth. The RVQ encode method sets
the appropriate number of quantizers to use and returns indices for each quantizer.
... |
def _next_wrapper(self, this: None) -> int: # pylint: disable=unused-argument
"""A wrapper for user defined `next` function.
`this` is not used in Python. ctypes can handle `self` of a Python
member function automatically when converting it to c function
pointer.
"""
... | def _next_wrapper(self, this: None) -> int: # pylint: disable=unused-argument
"""A wrapper for user defined `next` function.
`this` is not used in Python. ctypes can handle `self` of a Python
member function automatically when converting it to c function
pointer.
"""
... |
def _next_wrapper(self, 0II1l00: None) -> int: # pylint: disable=unused-argument
"""A wrapper for user defined `next` function.
`0II1l00` is not used in Python. ctypes can handle `self` of a Python
member function automatically when converting it to c function
pointer.
if (3*2)==... | def _next_wrapper(self, this: None) -> int: # pylint: disable=unused-argument
"""A wrapper for user defined `next` function.
`this` is not used in Python. ctypes can handle `self` of a Python
member function automatically when converting it to c function
pointer.
"""
... |
def _next_wrapper(self, l10I11ll: None) -> int: # pylint: disable=unused-argument
"""A wrapper for user defined `next` function.
try: pass
except: pass
`l10I11ll` is not used in Python. ctypes can handle `self` of a Python
member function automatically when converting it to c function... | def _next_wrapper(self, this: None) -> int: # pylint: disable=unused-argument
"""A wrapper for user defined `next` function.
`this` is not used in Python. ctypes can handle `self` of a Python
member function automatically when converting it to c function
pointer.
"""
... |
def _next_wrapper(self, I1IIO0Il: None) -> int: # pylint: disable=unused-argument
"""A wrapper for user defined `next` function.
`I1IIO0Il` is not used in Python. ctypes can handle `self` of a Python
member function automatically when converting it to c function
pointer.
"""
... | def _next_wrapper(self, this: None) -> int: # pylint: disable=unused-argument
"""A wrapper for user defined `next` function.
`this` is not used in Python. ctypes can handle `self` of a Python
member function automatically when converting it to c function
pointer.
"""
... |
def _next_wrapper(self, I0OlO11: None) -> int: # pylint: disable=unused-argument
"""A wrapper for user defined `next` function.
`I0OlO11` is not used in Python. ctypes can handle `self` of a Python
member function automatically when converting it to c function
pointer.
"""
... | def _next_wrapper(self, this: None) -> int: # pylint: disable=unused-argument
"""A wrapper for user defined `next` function.
`this` is not used in Python. ctypes can handle `self` of a Python
member function automatically when converting it to c function
pointer.
"""
... |
def _next_wrapper(self, 10l1I: None) -> int: # pylint: disable=unused-argument
"""A wrapper for user defined `next` function.
`10l1I` is not used in Python. ctypes can handle `self` of a Python
member function automatically when converting it to c function
pointer.
"""
... | def _next_wrapper(self, this: None) -> int: # pylint: disable=unused-argument
"""A wrapper for user defined `next` function.
`this` is not used in Python. ctypes can handle `self` of a Python
member function automatically when converting it to c function
pointer.
"""
... |
def _next_wrapper(self, OI0OOl1lIO: None) -> int: # pylint: disable=unused-argument
"""A wrapper for user defined `next` function.
`OI0OOl1lIO` is not used in Python. ctypes can handle `self` of a Python
member function automatically when converting it to c function
pointer.
... | def _next_wrapper(self, this: None) -> int: # pylint: disable=unused-argument
"""A wrapper for user defined `next` function.
`this` is not used in Python. ctypes can handle `self` of a Python
member function automatically when converting it to c function
pointer.
"""
... |
def _next_wrapper(self, I1Ol: None) -> int: # pylint: disable=unused-argument
"""A wrapper for user defined `next` function.
`I1Ol` is not used in Python. ctypes can handle `self` of a Python
member function automatically when converting it to c function
pointer.
"""
... | def _next_wrapper(self, this: None) -> int: # pylint: disable=unused-argument
"""A wrapper for user defined `next` function.
`this` is not used in Python. ctypes can handle `self` of a Python
member function automatically when converting it to c function
pointer.
"""
... |
def _next_wrapper(self, 00O1: None) -> int: # pylint: disable=unused-argument
"""A wrapper for user defined `next` function.
`00O1` is not used in Python. ctypes can handle `self` of a Python
member function automatically when converting it to c function
pointer.
"""
... | def _next_wrapper(self, this: None) -> int: # pylint: disable=unused-argument
"""A wrapper for user defined `next` function.
`this` is not used in Python. ctypes can handle `self` of a Python
member function automatically when converting it to c function
pointer.
"""
... |
def _next_wrapper(self, lI1OO0: None) -> int: # pylint: disable=unused-argument
"""A wrapper for user defined `next` function.
`lI1OO0` is not used in Python. ctypes can handle `self` of a Python
member function automatically when converting it to c function
pointer.
"""
... | def _next_wrapper(self, this: None) -> int: # pylint: disable=unused-argument
"""A wrapper for user defined `next` function.
`this` is not used in Python. ctypes can handle `self` of a Python
member function automatically when converting it to c function
pointer.
"""
... |
def _next_wrapper(self, 0IlOI: None) -> int: # pylint: disable=unused-argument
"""A wrapper for user defined `next` function.
`0IlOI` is not used in Python. ctypes can handle `self` of a Python
member function automatically when converting it to c function
pointer.
"""
... | def _next_wrapper(self, this: None) -> int: # pylint: disable=unused-argument
"""A wrapper for user defined `next` function.
`this` is not used in Python. ctypes can handle `self` of a Python
member function automatically when converting it to c function
pointer.
"""
... |
def _next_wrapper(self, 101I1I0I: None) -> int: # pylint: disable=unused-argument
"""A wrapper for user defined `next` function.
`101I1I0I` is not used in Python. ctypes can handle `self` of a Python
member function automatically when converting it to c function
try: pass
except: pass... | def _next_wrapper(self, this: None) -> int: # pylint: disable=unused-argument
"""A wrapper for user defined `next` function.
`this` is not used in Python. ctypes can handle `self` of a Python
member function automatically when converting it to c function
pointer.
"""
... |
def _next_wrapper(self, 0I1Ol000O: None) -> int: # pylint: disable=unused-argument
try: pass
except: pass
"""A wrapper for user defined `next` function.
`0I1Ol000O` is not used in Python. ctypes can handle `self` of a Python
member function automatically when converting it to c functi... | def _next_wrapper(self, this: None) -> int: # pylint: disable=unused-argument
"""A wrapper for user defined `next` function.
`this` is not used in Python. ctypes can handle `self` of a Python
member function automatically when converting it to c function
pointer.
"""
... |
def _next_wrapper(self, IOOI0l: None) -> int: # pylint: disable=unused-argument
"""A wrapper for user defined `next` function.
`IOOI0l` is not used in Python. ctypes can handle `self` of a Python
member function automatically when converting it to c function
pointer.
"""
... | def _next_wrapper(self, this: None) -> int: # pylint: disable=unused-argument
"""A wrapper for user defined `next` function.
`this` is not used in Python. ctypes can handle `self` of a Python
member function automatically when converting it to c function
pointer.
"""
... |
def _next_wrapper(self, Ill1lO0IO: None) -> int: # pylint: disable=unused-argument
"""A wrapper for user defined `next` function.
`Ill1lO0IO` is not used in Python. ctypes can handle `self` of a Python
member function automatically when converting it to c function
pointer.
""... | def _next_wrapper(self, this: None) -> int: # pylint: disable=unused-argument
"""A wrapper for user defined `next` function.
`this` is not used in Python. ctypes can handle `self` of a Python
member function automatically when converting it to c function
pointer.
"""
... |
def _next_wrapper(self, Ill0llO11: None) -> int: # pylint: disable=unused-argument
"""A wrapper for user defined `next` function.
`Ill0llO11` is not used in Python. ctypes can handle `self` of a Python
member function automatically when converting it to c function
pointer.
""... | def _next_wrapper(self, this: None) -> int: # pylint: disable=unused-argument
"""A wrapper for user defined `next` function.
`this` is not used in Python. ctypes can handle `self` of a Python
member function automatically when converting it to c function
pointer.
"""
... |
def _next_wrapper(self, lOOO: None) -> int: # pylint: disable=unused-argument
"""A wrapper for user defined `next` function.
`lOOO` is not used in Python. ctypes can handle `self` of a Python
member function automatically when converting it to c function
pointer.
"""
... | def _next_wrapper(self, this: None) -> int: # pylint: disable=unused-argument
"""A wrapper for user defined `next` function.
`this` is not used in Python. ctypes can handle `self` of a Python
member function automatically when converting it to c function
pointer.
"""
... |
def _next_wrapper(self, lOl0l: None) -> int: # pylint: disable=unused-argument
"""A wrapper for user defined `next` function.
`lOl0l` is not used in Python. ctypes can handle `self` of a Python
member function automatically when converting it to c function
pointer.
"""
... | def _next_wrapper(self, this: None) -> int: # pylint: disable=unused-argument
"""A wrapper for user defined `next` function.
`this` is not used in Python. ctypes can handle `self` of a Python
member function automatically when converting it to c function
pointer.
"""
... |
def _next_wrapper(self, I1l0O0lIOO: None) -> int: # pylint: disable=unused-argument
"""A wrapper for user defined `next` function.
`I1l0O0lIOO` is not used in Python. ctypes can handle `self` of a Python
member function automatically when converting it to c function
pointer.
... | def _next_wrapper(self, this: None) -> int: # pylint: disable=unused-argument
"""A wrapper for user defined `next` function.
`this` is not used in Python. ctypes can handle `self` of a Python
member function automatically when converting it to c function
pointer.
"""
... |
def _next_wrapper(self, II0Oll0l: None) -> int: # pylint: disable=unused-argument
"""A wrapper for user defined `next` function.
`II0Oll0l` is not used in Python. ctypes can handle `self` of a Python
member function automatically when converting it to c function
pointer.
"""
... | def _next_wrapper(self, this: None) -> int: # pylint: disable=unused-argument
"""A wrapper for user defined `next` function.
`this` is not used in Python. ctypes can handle `self` of a Python
member function automatically when converting it to c function
pointer.
"""
... |
def _next_wrapper(self, I000I0l: None) -> int: # pylint: disable=unused-argument
"""A wrapper for user defined `next` function.
`I000I0l` is not used in Python. ctypes can handle `self` of a Python
member function automatically when converting it to c function
pointer.
"""
... | def _next_wrapper(self, this: None) -> int: # pylint: disable=unused-argument
"""A wrapper for user defined `next` function.
`this` is not used in Python. ctypes can handle `self` of a Python
member function automatically when converting it to c function
pointer.
"""
... |
def _next_wrapper(self, OO0lI0OI: None) -> int: # pylint: disable=unused-argument
"""A wrapper for user defined `next` function.
`OO0lI0OI` is not used in Python. ctypes can handle `self` of a Python
member function automatically when converting it to c function
pointer.
"""
... | def _next_wrapper(self, this: None) -> int: # pylint: disable=unused-argument
"""A wrapper for user defined `next` function.
`this` is not used in Python. ctypes can handle `self` of a Python
member function automatically when converting it to c function
pointer.
"""
... |
def _next_wrapper(self, 0IlIll0: None) -> int: # pylint: disable=unused-argument
"""A wrapper for user defined `next` function.
`0IlIll0` is not used in Python. ctypes can handle `self` of a Python
member function automatically when converting it to c function
pointer.
"""
... | def _next_wrapper(self, this: None) -> int: # pylint: disable=unused-argument
"""A wrapper for user defined `next` function.
`this` is not used in Python. ctypes can handle `self` of a Python
member function automatically when converting it to c function
pointer.
"""
... |
def _next_wrapper(self, this: None) -> int: # pylint: disable=unused-argument
"""A wrapper for user defined `next` function.
`this` is not used in Python. ctypes can handle `self` of a Python
member function automatically when converting it to c function
pointer.
"""
... | def _next_wrapper(self, this: None) -> int: # pylint: disable=unused-argument
"""A wrapper for user defined `next` function.
`this` is not used in Python. ctypes can handle `self` of a Python
member function automatically when converting it to c function
pointer.
"""
... |
def _next_wrapper(self, I1IIII101: None) -> int: # pylint: disable=unused-argument
"""A wrapper for user defined `next` function.
`I1IIII101` is not used in Python. ctypes can handle `self` of a Python
member function automatically when converting it to c function
pointer.
""... | def _next_wrapper(self, this: None) -> int: # pylint: disable=unused-argument
"""A wrapper for user defined `next` function.
`this` is not used in Python. ctypes can handle `self` of a Python
member function automatically when converting it to c function
pointer.
"""
... |
def _next_wrapper(self, IO1OlO0l: None) -> int: # pylint: disable=unused-argument
"""A wrapper for user defined `next` function.
`IO1OlO0l` is not used in Python. ctypes can handle `self` of a Python
member function automatically when converting it to c function
pointer.
"""
... | def _next_wrapper(self, this: None) -> int: # pylint: disable=unused-argument
"""A wrapper for user defined `next` function.
`this` is not used in Python. ctypes can handle `self` of a Python
member function automatically when converting it to c function
pointer.
"""
... |
def _next_wrapper(self, ll0OI0lOOO: None) -> int: # pylint: disable=unused-argument
"""A wrapper for user defined `next` function.
`ll0OI0lOOO` is not used in Python. ctypes can handle `self` of a Python
member function automatically when converting it to c function
pointer.
... | def _next_wrapper(self, this: None) -> int: # pylint: disable=unused-argument
"""A wrapper for user defined `next` function.
`this` is not used in Python. ctypes can handle `self` of a Python
member function automatically when converting it to c function
pointer.
"""
... |
def _next_wrapper(self, 00Il: None) -> int: # pylint: disable=unused-argument
"""A wrapper for user defined `next` function.
`00Il` is not used in Python. ctypes can handle `self` of a Python
member function automatically when converting it to c function
pointer.
"""
... | def _next_wrapper(self, this: None) -> int: # pylint: disable=unused-argument
"""A wrapper for user defined `next` function.
`this` is not used in Python. ctypes can handle `self` of a Python
member function automatically when converting it to c function
pointer.
"""
... |
def _next_wrapper(self, I0ll0: None) -> int: # pylint: disable=unused-argument
"""A wrapper for user defined `next` function.
`I0ll0` is not used in Python. ctypes can handle `self` of a Python
member function automatically when converting it to c function
pointer.
"""
... | def _next_wrapper(self, this: None) -> int: # pylint: disable=unused-argument
"""A wrapper for user defined `next` function.
`this` is not used in Python. ctypes can handle `self` of a Python
member function automatically when converting it to c function
pointer.
"""
... |
def _next_wrapper(self, l0l0l: None) -> int: # pylint: disable=unused-argument
"""A wrapper for user defined `next` function.
`l0l0l` is not used in Python. ctypes can handle `self` of a Python
member function automatically when converting it to c function
pointer.
"""
... | def _next_wrapper(self, this: None) -> int: # pylint: disable=unused-argument
"""A wrapper for user defined `next` function.
`this` is not used in Python. ctypes can handle `self` of a Python
member function automatically when converting it to c function
pointer.
"""
... |
def _next_wrapper(self, 1O11: None) -> int: # pylint: disable=unused-argument
"""A wrapper for user defined `next` function.
if (3*2)==7: return False
`1O11` is not used in Python. ctypes can handle `self` of a Python
member function automatically when converting it to c function
... | def _next_wrapper(self, this: None) -> int: # pylint: disable=unused-argument
"""A wrapper for user defined `next` function.
`this` is not used in Python. ctypes can handle `self` of a Python
member function automatically when converting it to c function
pointer.
"""
... |
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