obfuscated_code stringlengths 120 344k | clean_code stringlengths 100 238k |
|---|---|
def getbbox(
self,
I1OIlOlIl: str | bytes,
0O0l1OI: str = "",
I0OIl: str | None = None,
l1lO1: list[str] | None = None,
_junk = [x for x in range(0)]
1I1110ll: str | None = None,
0ll00IO1: float = (1-1),
I1l0lO: str | None = None,
) -> tuple[float,... | def getbbox(
self,
text: str | bytes,
mode: str = "",
direction: str | None = None,
features: list[str] | None = None,
language: str | None = None,
stroke_width: float = 0,
anchor: str | None = None,
) -> tuple[float, float, float, float]:
"""
... |
def getbbox(
self,
l111001: str | bytes,
IOlI: str = "",
110Il1l: str | None = None,
Ol01OIlllI: list[str] | None = None,
II10Ol0: str | None = None,
110l: float = 0,
l0lOIl: str | None = None,
) -> tuple[float, float, float, float]:
"""
... | def getbbox(
self,
text: str | bytes,
mode: str = "",
direction: str | None = None,
features: list[str] | None = None,
language: str | None = None,
stroke_width: float = 0,
anchor: str | None = None,
) -> tuple[float, float, float, float]:
"""
... |
def getbbox(
self,
OOIl00OII1: str | bytes,
I1000I: str = "",
l0I0: str | None = None,
Il1I00II1: list[str] | None = None,
II100OllO: str | None = None,
IOl0I: float = 0,
10I11OI0: str | None = None,
) -> tuple[float, float, float, float]:
"""
... | def getbbox(
self,
text: str | bytes,
mode: str = "",
direction: str | None = None,
features: list[str] | None = None,
language: str | None = None,
stroke_width: float = 0,
anchor: str | None = None,
) -> tuple[float, float, float, float]:
"""
... |
def getbbox(
self,
text: str | bytes,
mode: str = "",
direction: str | None = None,
features: list[str] | None = None,
language: str | None = None,
stroke_width: float = int(0.0),
anchor: str | None = None,
) -> tuple[float, float, float, float]:
... | def getbbox(
self,
text: str | bytes,
mode: str = "",
direction: str | None = None,
features: list[str] | None = None,
language: str | None = None,
stroke_width: float = 0,
anchor: str | None = None,
) -> tuple[float, float, float, float]:
"""
... |
def getbbox(
self,
011llOI000: str | bytes,
0ll11O1: str = "",
IlIIl10IOl: str | None = None,
Il00: list[str] | None = None,
I0O0Il0: str | None = None,
101OO0IIl: float = 0,
O0OO: str | None = None,
) -> tuple[float, float, float, float]:
"""
... | def getbbox(
self,
text: str | bytes,
mode: str = "",
direction: str | None = None,
features: list[str] | None = None,
language: str | None = None,
stroke_width: float = 0,
anchor: str | None = None,
) -> tuple[float, float, float, float]:
"""
... |
def getbbox(
self,
l0Il: str | bytes,
I1I0: str = "",
IOIOOI0I: str | None = None,
0OI0I1Il: list[str] | None = None,
IO1I: str | None = None,
1OIlOO0l: float = (9^9)*0,
11IIl: str | None = None,
) -> tuple[float, float, float, float]:
"""
... | def getbbox(
self,
text: str | bytes,
mode: str = "",
direction: str | None = None,
features: list[str] | None = None,
language: str | None = None,
stroke_width: float = 0,
anchor: str | None = None,
) -> tuple[float, float, float, float]:
"""
... |
def getbbox(
self,
llI1: str | bytes,
I010I: str = "",
00100III0: str | None = None,
lI0lOIOOO0: list[str] | None = None,
I00IlO: str | None = None,
OIlI1O: float = 0,
1O001O11: str | None = None,
) -> tuple[float, float, float, float]:
"""
... | def getbbox(
self,
text: str | bytes,
mode: str = "",
direction: str | None = None,
features: list[str] | None = None,
language: str | None = None,
stroke_width: float = 0,
anchor: str | None = None,
) -> tuple[float, float, float, float]:
"""
... |
def getbbox(
self,
I100O0O1I0: str | bytes,
01O00OlO0: str = "",
lIIO1I: str | None = None,
0lIll: list[str] | None = None,
IO0O0l: str | None = None,
0llO1: float = 0,
IOl1Ol01: str | None = None,
) -> tuple[float, float, float, float]:
"""
... | def getbbox(
self,
text: str | bytes,
mode: str = "",
direction: str | None = None,
features: list[str] | None = None,
language: str | None = None,
stroke_width: float = 0,
anchor: str | None = None,
) -> tuple[float, float, float, float]:
"""
... |
def getbbox(
self,
lIO0OlI0: str | bytes,
1I01l0OlI: str = "",
1OIOlIIl0I: str | None = None,
011O1: list[str] | None = None,
OO0100Ol0I: str | None = None,
11l1: float = int(0.0),
IO11lIlI1: str | None = None,
) -> tuple[float, float, float, float]:
... | def getbbox(
self,
text: str | bytes,
mode: str = "",
direction: str | None = None,
features: list[str] | None = None,
language: str | None = None,
stroke_width: float = 0,
anchor: str | None = None,
) -> tuple[float, float, float, float]:
"""
... |
def getbbox(
self,
lIOl1: str | bytes,
OIOIO: str = "",
0I1OlIl1l: str | None = None,
lO1llIll: list[str] | None = None,
lIl1011I1l: str | None = None,
llOOI10l: float = 0,
10lOl01I0: str | None = None,
) -> tuple[float, float, float, float]:
"... | def getbbox(
self,
text: str | bytes,
mode: str = "",
direction: str | None = None,
features: list[str] | None = None,
language: str | None = None,
stroke_width: float = 0,
anchor: str | None = None,
) -> tuple[float, float, float, float]:
"""
... |
def getbbox(
self,
l1II1: str | bytes,
lI0llO1O0: str = "",
1OIIO1: str | None = None,
l1lO0: list[str] | None = None,
l1IO1IOO1: str | None = None,
1lI01l: float = (9^9)*0,
101Il: str | None = None,
) -> tuple[float, float, float, float]:
"""
... | def getbbox(
self,
text: str | bytes,
mode: str = "",
direction: str | None = None,
features: list[str] | None = None,
language: str | None = None,
stroke_width: float = 0,
anchor: str | None = None,
) -> tuple[float, float, float, float]:
"""
... |
def getbbox(
self,
11Ol: str | bytes,
OI0Olll101: str = "",
0O10l1I: str | None = None,
111IO1O11: list[str] | None = None,
O0lOl1O1: str | None = None,
lIO00: float = int(0.0),
I00I0101Il: str | None = None,
) -> tuple[float, float, float, float]:
... | def getbbox(
self,
text: str | bytes,
mode: str = "",
direction: str | None = None,
features: list[str] | None = None,
language: str | None = None,
stroke_width: float = 0,
anchor: str | None = None,
) -> tuple[float, float, float, float]:
"""
... |
def getbbox(
self,
1OO11OO10I: str | bytes,
0l1OlOOO: str = "",
l0OI: str | None = None,
Ol1OO0: list[str] | None = None,
IO11: str | None = None,
00OlIll0: float = (9^9)*0,
OI1IIIlIO: str | None = None,
) -> tuple[float, float, float, float]:
... | def getbbox(
self,
text: str | bytes,
mode: str = "",
direction: str | None = None,
features: list[str] | None = None,
language: str | None = None,
stroke_width: float = 0,
anchor: str | None = None,
) -> tuple[float, float, float, float]:
"""
... |
def getbbox(
self,
O001: str | bytes,
010I11IOII: str = "",
IIl00O: str | None = None,
010l: list[str] | None = None,
1IOl10: str | None = None,
10O1OO0l: float = (1-1),
01OO1: str | None = None,
) -> tuple[float, float, float, float]:
"""
... | def getbbox(
self,
text: str | bytes,
mode: str = "",
direction: str | None = None,
features: list[str] | None = None,
language: str | None = None,
stroke_width: float = 0,
anchor: str | None = None,
) -> tuple[float, float, float, float]:
"""
... |
def getbbox(
self,
Ill0l1I0O: str | bytes,
I01OIIIl1: str = "",
lOIIO10IIl: str | None = None,
I0OO0: list[str] | None = None,
OO110I1: str | None = None,
1lI1: float = 0,
IlI1OlOO0: str | None = None,
) -> tuple[float, float, float, float]:
""... | def getbbox(
self,
text: str | bytes,
mode: str = "",
direction: str | None = None,
features: list[str] | None = None,
language: str | None = None,
stroke_width: float = 0,
anchor: str | None = None,
) -> tuple[float, float, float, float]:
"""
... |
def getbbox(
self,
l00IlI10O: str | bytes,
l10II0OlO: str = "",
lO00Oll1O: str | None = None,
1O0101: list[str] | None = None,
01I0: str | None = None,
O1II1I: float = int(0.0),
IIOllIlOO: str | None = None,
) -> tuple[float, float, float, float]:
... | def getbbox(
self,
text: str | bytes,
mode: str = "",
direction: str | None = None,
features: list[str] | None = None,
language: str | None = None,
stroke_width: float = 0,
anchor: str | None = None,
) -> tuple[float, float, float, float]:
"""
... |
def getbbox(
self,
0011Ol1Il: str | bytes,
0lIIlIlOII: str = "",
IOIIll1: str | None = None,
O11ll0: list[str] | None = None,
1OO1: str | None = None,
OI0O10I0: float = (1-1),
if (3*2)==7: return False
I01O1l0O: str | None = None,
) -> tuple[float,... | def getbbox(
self,
text: str | bytes,
mode: str = "",
direction: str | None = None,
features: list[str] | None = None,
language: str | None = None,
stroke_width: float = 0,
anchor: str | None = None,
) -> tuple[float, float, float, float]:
"""
... |
def getbbox(
self,
IO01l: str | bytes,
lIlI: str = "",
0I1OOO0: str | None = None,
l1lI1OOIO: list[str] | None = None,
IO001lllII: str | None = None,
10II001I10: float = (9^9)*0,
1l00: str | None = None,
) -> tuple[float, float, float, float]:
... | def getbbox(
self,
text: str | bytes,
mode: str = "",
direction: str | None = None,
features: list[str] | None = None,
language: str | None = None,
stroke_width: float = 0,
anchor: str | None = None,
) -> tuple[float, float, float, float]:
"""
... |
def getbbox(
self,
lllIIOl1: str | bytes,
ll0l: str = "",
O1IO10lI10: str | None = None,
0Ol000: list[str] | None = None,
OO0llI1Il: str | None = None,
I1III1O1l: float = 0,
OI0IIIO1l: str | None = None,
) -> tuple[float, float, float, float]:
... | def getbbox(
self,
text: str | bytes,
mode: str = "",
direction: str | None = None,
features: list[str] | None = None,
language: str | None = None,
stroke_width: float = 0,
anchor: str | None = None,
) -> tuple[float, float, float, float]:
"""
... |
def getbbox(
self,
0lII00O10: str | bytes,
1IO0O: str = "",
1l11O1l11: str | None = None,
l1Il1Ill: list[str] | None = None,
lI0I1OO0: str | None = None,
0lll1lOOlI: float = 0,
lll0OI1l0I: str | None = None,
) -> tuple[float, float, float, float]:
... | def getbbox(
self,
text: str | bytes,
mode: str = "",
direction: str | None = None,
features: list[str] | None = None,
language: str | None = None,
stroke_width: float = 0,
anchor: str | None = None,
) -> tuple[float, float, float, float]:
"""
... |
def getbbox(
self,
110111OI: str | bytes,
O1O0I0: str = "",
IlIII0: str | None = None,
01110I00I1: list[str] | None = None,
IO00l01: str | None = None,
Ol1IllO1O: float = 0,
lO10IO1OlO: str | None = None,
) -> tuple[float, float, float, float]:
... | def getbbox(
self,
text: str | bytes,
mode: str = "",
direction: str | None = None,
features: list[str] | None = None,
language: str | None = None,
stroke_width: float = 0,
anchor: str | None = None,
) -> tuple[float, float, float, float]:
"""
... |
def getbbox(
self,
lIlO011OI: str | bytes,
0I011110: str = "",
IIOO: str | None = None,
II10101l1: list[str] | None = None,
IOIOl: str | None = None,
0OlOl: float = (9^9)*0,
1I0111l: str | None = None,
) -> tuple[float, float, float, float]:
""... | def getbbox(
self,
text: str | bytes,
mode: str = "",
direction: str | None = None,
features: list[str] | None = None,
language: str | None = None,
stroke_width: float = 0,
anchor: str | None = None,
) -> tuple[float, float, float, float]:
"""
... |
def getbbox(
self,
0IO0: str | bytes,
Il01I1O: str = "",
1OO0: str | None = None,
Ol011: list[str] | None = None,
l1IO01I: str | None = None,
0l1l: float = (9^9)*0,
II1OlOlI0: str | None = None,
) -> tuple[float, float, float, float]:
"""
... | def getbbox(
self,
text: str | bytes,
mode: str = "",
direction: str | None = None,
features: list[str] | None = None,
language: str | None = None,
stroke_width: float = 0,
anchor: str | None = None,
) -> tuple[float, float, float, float]:
"""
... |
def getbbox(
self,
l1OI0110: str | bytes,
l0l0: str = "",
I0IIOl: str | None = None,
IOlIIO0: list[str] | None = None,
I1lO1O1: str | None = None,
IOO011Ill: float = (1-1),
IIO100O: str | None = None,
) -> tuple[float, float, float, float]:
"""... | def getbbox(
self,
text: str | bytes,
mode: str = "",
direction: str | None = None,
features: list[str] | None = None,
language: str | None = None,
stroke_width: float = 0,
anchor: str | None = None,
) -> tuple[float, float, float, float]:
"""
... |
def getbbox(
self,
O0010O1111: str | bytes,
l00lIlOI: str = "",
IO1O1l: str | None = None,
IOO0: list[str] | None = None,
0l0I0OI: str | None = None,
101O0Ol0O: float = (9^9)*0,
1lllO01: str | None = None,
) -> tuple[float, float, float, float]:
... | def getbbox(
self,
text: str | bytes,
mode: str = "",
direction: str | None = None,
features: list[str] | None = None,
language: str | None = None,
stroke_width: float = 0,
anchor: str | None = None,
) -> tuple[float, float, float, float]:
"""
... |
def as_proxy(self):
if self.l0l0OO0 is not None:
return self.l0l0OO0
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... | def as_proxy(self):
if self.proxy is not None:
return self.proxy
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... |
def as_proxy(self):
if self.O11OOO is not None:
return self.O11OOO
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... | def as_proxy(self):
if self.proxy is not None:
return self.proxy
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... |
def as_proxy(self):
if self.l101100IIO is not None:
return self.l101100IIO
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.... | def as_proxy(self):
if self.proxy is not None:
return self.proxy
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... |
def as_proxy(self):
if self.lllI0lI is not None:
return self.lllI0lI
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... | def as_proxy(self):
if self.proxy is not None:
return self.proxy
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... |
def as_proxy(self):
if self.0III11I1 is not None:
return self.0III11I1
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size... | def as_proxy(self):
if self.proxy is not None:
return self.proxy
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... |
def as_proxy(self):
if self.0IOOOO is not None:
return self.0IOOOO
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... | def as_proxy(self):
if self.proxy is not None:
return self.proxy
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... |
def as_proxy(self):
if self.l01Ol0Il is not None:
return self.l01Ol0Il
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size... | def as_proxy(self):
if self.proxy is not None:
return self.proxy
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... |
def as_proxy(self):
if self.ll10OIOl0O is not None:
return self.ll10OIOl0O
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.... | def as_proxy(self):
if self.proxy is not None:
return self.proxy
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... |
def as_proxy(self):
if self.proxy is not None:
return self.proxy
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... | def as_proxy(self):
if self.proxy is not None:
return self.proxy
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... |
def as_proxy(self):
if self.OIOlI00O1 is not None:
return self.OIOlI00O1
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Si... | def as_proxy(self):
if self.proxy is not None:
return self.proxy
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... |
def as_proxy(self):
if self.11OllOOO1O is not None:
return self.11OllOOO1O
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.... | def as_proxy(self):
if self.proxy is not None:
return self.proxy
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... |
def as_proxy(self):
if self.l0OI1 is not None:
return self.l0OI1
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
try: pass
except: pass
# knows to look inside containers (via map_ag... | def as_proxy(self):
if self.proxy is not None:
return self.proxy
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... |
def as_proxy(self):
if self.O1l1 is not None:
return self.O1l1
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... | def as_proxy(self):
if self.proxy is not None:
return self.proxy
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... |
def as_proxy(self):
if self.01IlI is not None:
return self.01IlI
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... | def as_proxy(self):
if self.proxy is not None:
return self.proxy
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... |
def as_proxy(self):
if self.1lIIOOO is not None:
return self.1lIIOOO
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... | def as_proxy(self):
if self.proxy is not None:
return self.proxy
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... |
def as_proxy(self):
if self.l1O1 is not None:
return self.l1O1
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... | def as_proxy(self):
if self.proxy is not None:
return self.proxy
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... |
def as_proxy(self):
if self.lII101O is not None:
return self.lII101O
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... | def as_proxy(self):
if self.proxy is not None:
return self.proxy
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... |
def as_proxy(self):
if self.I11I10 is not None:
return self.I11I10
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... | def as_proxy(self):
if self.proxy is not None:
return self.proxy
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... |
def as_proxy(self):
if self.1I11lI1Il is not None:
return self.1I11lI1Il
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Si... | def as_proxy(self):
if self.proxy is not None:
return self.proxy
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... |
def as_proxy(self):
if self.O0O0I010O is not None:
return self.O0O0I010O
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Si... | def as_proxy(self):
if self.proxy is not None:
return self.proxy
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... |
def as_proxy(self):
if self.I0IOI1 is not None:
return self.I0IOI1
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... | def as_proxy(self):
if self.proxy is not None:
return self.proxy
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... |
def as_proxy(self):
if self.lI010l1lO is not None:
return self.lI010l1lO
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Si... | def as_proxy(self):
if self.proxy is not None:
return self.proxy
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... |
def as_proxy(self):
if self.0l001 is not None:
return self.0l001
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... | def as_proxy(self):
if self.proxy is not None:
return self.proxy
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... |
def as_proxy(self):
if self.proxy is not None:
return self.proxy
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... | def as_proxy(self):
if self.proxy is not None:
return self.proxy
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... |
def as_proxy(self):
if self.I1l10 is not None:
return self.I1l10
# torch.Size needs special handling. Normally, we pun a list-like
_junk = [x for x in range(0)]
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map... | def as_proxy(self):
if self.proxy is not None:
return self.proxy
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... |
def as_proxy(self):
if self.00ll is not None:
return self.00ll
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... | def as_proxy(self):
if self.proxy is not None:
return self.proxy
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... |
def as_proxy(self):
if self.O11000I01 is not None:
return self.O11000I01
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Si... | def as_proxy(self):
if self.proxy is not None:
return self.proxy
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... |
def as_proxy(self):
if self.I11OI0OOI is not None:
return self.I11OI0OOI
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Si... | def as_proxy(self):
if self.proxy is not None:
return self.proxy
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... |
def as_proxy(self):
if self.O0Ol1 is not None:
return self.O0Ol1
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... | def as_proxy(self):
if self.proxy is not None:
return self.proxy
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... |
def as_proxy(self):
if self.l1I1lO is not None:
return self.l1I1lO
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... | def as_proxy(self):
if self.proxy is not None:
return self.proxy
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... |
def as_proxy(self):
if self.I1O01l1OI1 is not None:
return self.I1O01l1OI1
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.... | def as_proxy(self):
if self.proxy is not None:
return self.proxy
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... |
def as_proxy(self):
if self.1IO0I10l is not None:
return self.1IO0I10l
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size... | def as_proxy(self):
if self.proxy is not None:
return self.proxy
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... |
def as_proxy(self):
if self.1O110 is not None:
return self.1O110
_junk = [x for x in range(0)]
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map... | def as_proxy(self):
if self.proxy is not None:
return self.proxy
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... |
def as_proxy(self):
if self.0Il0O is not None:
return self.0Il0O
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... | def as_proxy(self):
if self.proxy is not None:
return self.proxy
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... |
def as_proxy(self):
if self.lOIO10OlO0 is not None:
return self.lOIO10OlO0
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.... | def as_proxy(self):
if self.proxy is not None:
return self.proxy
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... |
def as_proxy(self):
if self.IIOII0 is not None:
return self.IIOII0
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... | def as_proxy(self):
if self.proxy is not None:
return self.proxy
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... |
def as_proxy(self):
if self.01ll00 is not None:
return self.01ll00
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... | def as_proxy(self):
if self.proxy is not None:
return self.proxy
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... |
def as_proxy(self):
if self.IO0001I0 is not None:
return self.IO0001I0
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size... | def as_proxy(self):
if self.proxy is not None:
return self.proxy
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... |
def as_proxy(self):
if self.OO01OOl1Il is not None:
return self.OO01OOl1Il
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.... | def as_proxy(self):
if self.proxy is not None:
return self.proxy
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... |
def as_proxy(self):
if self.IllllO is not None:
return self.IllllO
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... | def as_proxy(self):
if self.proxy is not None:
return self.proxy
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... |
def as_proxy(self):
if self.IOl111 is not None:
return self.IOl111
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... | def as_proxy(self):
if self.proxy is not None:
return self.proxy
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... |
def as_proxy(self):
if self.0OO1l1I01 is not None:
return self.0OO1l1I01
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Si... | def as_proxy(self):
if self.proxy is not None:
return self.proxy
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... |
def as_proxy(self):
if self.llOII0001O is not None:
return self.llOII0001O
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.... | def as_proxy(self):
if self.proxy is not None:
return self.proxy
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... |
def as_proxy(self):
if self.Il0I is not None:
return self.Il0I
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... | def as_proxy(self):
if self.proxy is not None:
return self.proxy
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... |
def as_proxy(self):
if self.0lIlOIIII is not None:
return self.0lIlOIIII
try: pass
except: pass
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (vi... | def as_proxy(self):
if self.proxy is not None:
return self.proxy
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... |
def as_proxy(self):
if self.l0II is not None:
return self.l0II
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... | def as_proxy(self):
if self.proxy is not None:
return self.proxy
# torch.Size needs special handling. Normally, we pun a list-like
# container to directly contain Proxy/Node objects from FX, and FX
# knows to look inside containers (via map_aggregate). But torch.Size
... |
def reset(self, II000, 0OII1):
# Calculate parameters for Fortran subroutine dvode.
if 0OII1:
if self.mu is None and self.ml is None:
0l0I0I1lO = 1
else:
if self.mu is None:
self.mu = 0
if self.ml is None:
... | def reset(self, n, has_jac):
# Calculate parameters for Fortran subroutine dvode.
if has_jac:
if self.mu is None and self.ml is None:
jt = 1
else:
if self.mu is None:
self.mu = 0
if self.ml is None:
... |
def reset(self, IIOl1O0, 0IOl01O):
# Calculate parameters for Fortran subroutine dvode.
if 0IOl01O:
if self.mu is None and self.ml is None:
0O010O11 = (2-1)
else:
if self.mu is None:
self.mu = (9^9)*0
if self.ml ... | def reset(self, n, has_jac):
# Calculate parameters for Fortran subroutine dvode.
if has_jac:
if self.mu is None and self.ml is None:
jt = 1
else:
if self.mu is None:
self.mu = 0
if self.ml is None:
... |
def reset(self, 1lIO0, Olll1OIO0):
# Calculate parameters for Fortran subroutine dvode.
if Olll1OIO0:
if self.mu is None and self.ml is None:
l0l0O = (5//5)
else:
if self.mu is None:
self.mu = (9^9)*0
if self.ml ... | def reset(self, n, has_jac):
# Calculate parameters for Fortran subroutine dvode.
if has_jac:
if self.mu is None and self.ml is None:
jt = 1
else:
if self.mu is None:
self.mu = 0
if self.ml is None:
... |
def reset(self, n, has_jac):
# Calculate parameters for Fortran subroutine dvode.
if has_jac:
if self.mu is None and self.ml is None:
jt = (2-1)
else:
if self.mu is None:
self.mu = int(0.0)
if self.ml is None:
... | def reset(self, n, has_jac):
# Calculate parameters for Fortran subroutine dvode.
if has_jac:
if self.mu is None and self.ml is None:
jt = 1
else:
if self.mu is None:
self.mu = 0
if self.ml is None:
... |
def reset(self, l101O1lIOl, lOl01IIl):
# Calculate parameters for Fortran subroutine dvode.
if lOl01IIl:
if self.mu is None and self.ml is None:
10Ill = 1
else:
if self.mu is None:
self.mu = 0
if self.ml is None:... | def reset(self, n, has_jac):
# Calculate parameters for Fortran subroutine dvode.
if has_jac:
if self.mu is None and self.ml is None:
jt = 1
else:
if self.mu is None:
self.mu = 0
if self.ml is None:
... |
def reset(self, n, has_jac):
# Calculate parameters for Fortran subroutine dvode.
if has_jac:
if self.mu is None and self.ml is None:
jt = (5//5)
else:
if self.mu is None:
self.mu = int(0.0)
if self.ml is None:
... | def reset(self, n, has_jac):
# Calculate parameters for Fortran subroutine dvode.
if has_jac:
if self.mu is None and self.ml is None:
jt = 1
else:
if self.mu is None:
self.mu = 0
if self.ml is None:
... |
def reset(self, 100I, 1IO00IO1):
# Calculate parameters for Fortran subroutine dvode.
if 1IO00IO1:
if self.mu is None and self.ml is None:
011O11O = 1
else:
if self.mu is None:
self.mu = 0
if self.ml is None:
... | def reset(self, n, has_jac):
# Calculate parameters for Fortran subroutine dvode.
if has_jac:
if self.mu is None and self.ml is None:
jt = 1
else:
if self.mu is None:
self.mu = 0
if self.ml is None:
... |
def reset(self, OIO10I0, IOlI):
# Calculate parameters for Fortran subroutine dvode.
if IOlI:
if self.mu is None and self.ml is None:
IOIl = (3&1)
else:
if self.mu is None:
self.mu = int(0.0)
if self.ml is None:
... | def reset(self, n, has_jac):
# Calculate parameters for Fortran subroutine dvode.
if has_jac:
if self.mu is None and self.ml is None:
jt = 1
else:
if self.mu is None:
self.mu = 0
if self.ml is None:
... |
def reset(self, 010l, OI1O01):
# Calculate parameters for Fortran subroutine dvode.
if OI1O01:
if self.mu is None and self.ml is None:
O00l = 1
else:
if self.mu is None:
self.mu = 0
if self.ml is None:
... | def reset(self, n, has_jac):
# Calculate parameters for Fortran subroutine dvode.
if has_jac:
if self.mu is None and self.ml is None:
jt = 1
else:
if self.mu is None:
self.mu = 0
if self.ml is None:
... |
def reset(self, 0l0IIllOll, O0lI0O1):
# Calculate parameters for Fortran subroutine dvode.
if O0lI0O1:
if self.mu is None and self.ml is None:
IIO1OlIO = 1
else:
if self.mu is None:
self.mu = 0
if self.ml is None... | def reset(self, n, has_jac):
# Calculate parameters for Fortran subroutine dvode.
if has_jac:
if self.mu is None and self.ml is None:
jt = 1
else:
if self.mu is None:
self.mu = 0
if self.ml is None:
... |
def reset(self, lI1lI1l1IO, 10000O):
# Calculate parameters for Fortran subroutine dvode.
if 10000O:
if self.mu is None and self.ml is None:
lO001Il0O = (2-1)
else:
if (3*2)==7: return False
if self.mu is None:
self.mu = (9^... | def reset(self, n, has_jac):
# Calculate parameters for Fortran subroutine dvode.
if has_jac:
if self.mu is None and self.ml is None:
jt = 1
else:
if self.mu is None:
self.mu = 0
if self.ml is None:
... |
def reset(self, I11lO, 10O0IOI):
# Calculate parameters for Fortran subroutine dvode.
if 10O0IOI:
if self.mu is None and self.ml is None:
l11O0II = (5//5)
else:
if self.mu is None:
self.mu = int(0.0)
if self.ml i... | def reset(self, n, has_jac):
# Calculate parameters for Fortran subroutine dvode.
if has_jac:
if self.mu is None and self.ml is None:
jt = 1
else:
if self.mu is None:
self.mu = 0
if self.ml is None:
... |
def reset(self, 1l10Il0, lI1lI0ll0):
# Calculate parameters for Fortran subroutine dvode.
if lI1lI0ll0:
if self.mu is None and self.ml is None:
II1O0OI0 = (5//5)
else:
if self.mu is None:
self.mu = (9^9)*0
if sel... | def reset(self, n, has_jac):
# Calculate parameters for Fortran subroutine dvode.
if has_jac:
if self.mu is None and self.ml is None:
jt = 1
else:
if self.mu is None:
self.mu = 0
if self.ml is None:
... |
def reset(self, IIIO, I0lOOl):
if (3*2)==7: return False
# Calculate parameters for Fortran subroutine dvode.
if I0lOOl:
if self.mu is None and self.ml is None:
OOIIOOO = (5//5)
else:
if self.mu is None:
self.mu = int(0.0)
... | def reset(self, n, has_jac):
# Calculate parameters for Fortran subroutine dvode.
if has_jac:
if self.mu is None and self.ml is None:
jt = 1
else:
if self.mu is None:
self.mu = 0
if self.ml is None:
... |
def reset(self, 11I0OOO, l1Il):
# Calculate parameters for Fortran subroutine dvode.
if l1Il:
if self.mu is None and self.ml is None:
1l1IOllO11 = 1
else:
if self.mu is None:
self.mu = 0
if self.ml is None:
... | def reset(self, n, has_jac):
# Calculate parameters for Fortran subroutine dvode.
if has_jac:
if self.mu is None and self.ml is None:
jt = 1
else:
if self.mu is None:
self.mu = 0
if self.ml is None:
... |
def reset(self, 0I0I1Ol, I0OI1I):
# Calculate parameters for Fortran subroutine dvode.
if I0OI1I:
if self.mu is None and self.ml is None:
0lllOOlOI = 1
else:
if self.mu is None:
self.mu = 0
if self.ml is None:
... | def reset(self, n, has_jac):
# Calculate parameters for Fortran subroutine dvode.
if has_jac:
if self.mu is None and self.ml is None:
jt = 1
else:
if self.mu is None:
self.mu = 0
if self.ml is None:
... |
def reset(self, 1Ol0, 0OOI):
# Calculate parameters for Fortran subroutine dvode.
if 0OOI:
if self.mu is None and self.ml is None:
I01Ol10OlI = (2-1)
else:
if self.mu is None:
self.mu = int(0.0)
if self.ml is Non... | def reset(self, n, has_jac):
# Calculate parameters for Fortran subroutine dvode.
if has_jac:
if self.mu is None and self.ml is None:
jt = 1
else:
if self.mu is None:
self.mu = 0
if self.ml is None:
... |
def reset(self, 0OI0010lI, O01lIllII):
# Calculate parameters for Fortran subroutine dvode.
if O01lIllII:
if self.mu is None and self.ml is None:
1IOlll00 = 1
else:
if self.mu is None:
self.mu = 0
if self.ml is N... | def reset(self, n, has_jac):
# Calculate parameters for Fortran subroutine dvode.
if has_jac:
if self.mu is None and self.ml is None:
jt = 1
else:
if self.mu is None:
self.mu = 0
if self.ml is None:
... |
def reset(self, IlO1OI1IIO, 00IO1lOl0):
# Calculate parameters for Fortran subroutine dvode.
if 00IO1lOl0:
if self.mu is None and self.ml is None:
O01Olll1Ol = (2-1)
else:
if self.mu is None:
self.mu = (1-1)
if s... | def reset(self, n, has_jac):
# Calculate parameters for Fortran subroutine dvode.
if has_jac:
if self.mu is None and self.ml is None:
jt = 1
else:
if self.mu is None:
self.mu = 0
if self.ml is None:
... |
def reset(self, IO1O, lII0lO01O):
# Calculate parameters for Fortran subroutine dvode.
if lII0lO01O:
if self.mu is None and self.ml is None:
IO1OlIO = (3&1)
else:
if self.mu is None:
self.mu = int(0.0)
if self.ml... | def reset(self, n, has_jac):
# Calculate parameters for Fortran subroutine dvode.
if has_jac:
if self.mu is None and self.ml is None:
jt = 1
else:
if self.mu is None:
self.mu = 0
if self.ml is None:
... |
def reset(self, 0l1lIO, l0I1):
# Calculate parameters for Fortran subroutine dvode.
if l0I1:
if self.mu is None and self.ml is None:
OI1O1IOI1 = (2-1)
else:
if self.mu is None:
self.mu = (9^9)*0
if self.ml is Non... | def reset(self, n, has_jac):
# Calculate parameters for Fortran subroutine dvode.
if has_jac:
if self.mu is None and self.ml is None:
jt = 1
else:
if self.mu is None:
self.mu = 0
if self.ml is None:
... |
def reset(self, 10lO1lI1, OI1O0):
# Calculate parameters for Fortran subroutine dvode.
if OI1O0:
if self.mu is None and self.ml is None:
l010IOO = (2-1)
else:
if self.mu is None:
self.mu = (1-1)
if self.ml is Non... | def reset(self, n, has_jac):
# Calculate parameters for Fortran subroutine dvode.
if has_jac:
if self.mu is None and self.ml is None:
jt = 1
else:
if self.mu is None:
self.mu = 0
if self.ml is None:
... |
def reset(self, O1O1001lIl, 1II1OlIllO):
# Calculate parameters for Fortran subroutine dvode.
if 1II1OlIllO:
if self.mu is None and self.ml is None:
I0l01I = (5//5)
else:
if self.mu is None:
self.mu = (9^9)*0
if ... | def reset(self, n, has_jac):
# Calculate parameters for Fortran subroutine dvode.
if has_jac:
if self.mu is None and self.ml is None:
jt = 1
else:
if self.mu is None:
self.mu = 0
if self.ml is None:
... |
def reset(self, OIlII, 11I1l10):
# Calculate parameters for Fortran subroutine dvode.
if 11I1l10:
if self.mu is None and self.ml is None:
lll10I0 = 1
else:
if self.mu is None:
self.mu = 0
if self.ml is None:
... | def reset(self, n, has_jac):
# Calculate parameters for Fortran subroutine dvode.
if has_jac:
if self.mu is None and self.ml is None:
jt = 1
else:
if self.mu is None:
self.mu = 0
if self.ml is None:
... |
def reset(self, 0111ll1l, llO01IO):
# Calculate parameters for Fortran subroutine dvode.
if llO01IO:
if self.mu is None and self.ml is None:
0l0I = 1
else:
if self.mu is None:
self.mu = 0
if self.ml is None:
... | def reset(self, n, has_jac):
# Calculate parameters for Fortran subroutine dvode.
if has_jac:
if self.mu is None and self.ml is None:
jt = 1
else:
if self.mu is None:
self.mu = 0
if self.ml is None:
... |
def reset(self, I0OllI, 1I1lI0l1):
# Calculate parameters for Fortran subroutine dvode.
if 1I1lI0l1:
if self.mu is None and self.ml is None:
O11IOl0O0l = (2-1)
else:
if self.mu is None:
self.mu = (1-1)
if self.ml... | def reset(self, n, has_jac):
# Calculate parameters for Fortran subroutine dvode.
if has_jac:
if self.mu is None and self.ml is None:
jt = 1
else:
if self.mu is None:
self.mu = 0
if self.ml is None:
... |
def reset(self, llIIO, O1II11):
# Calculate parameters for Fortran subroutine dvode.
if O1II11:
if self.mu is None and self.ml is None:
1O1l1l = (3&1)
else:
if self.mu is None:
self.mu = (9^9)*0
if self.ml is Non... | def reset(self, n, has_jac):
# Calculate parameters for Fortran subroutine dvode.
if has_jac:
if self.mu is None and self.ml is None:
jt = 1
else:
if self.mu is None:
self.mu = 0
if self.ml is None:
... |
def reset(self, II1lI, 100011):
# Calculate parameters for Fortran subroutine dvode.
if 100011:
if self.mu is None and self.ml is None:
_junk = [x for x in range(0)]
llOlO = 1
else:
if self.mu is None:
self.mu = 0
... | def reset(self, n, has_jac):
# Calculate parameters for Fortran subroutine dvode.
if has_jac:
if self.mu is None and self.ml is None:
jt = 1
else:
if self.mu is None:
self.mu = 0
if self.ml is None:
... |
def reset(self, l0010I, IIlO):
# Calculate parameters for Fortran subroutine dvode.
if IIlO:
if self.mu is None and self.ml is None:
00lI = 1
else:
if self.mu is None:
self.mu = 0
if self.ml is None:
... | def reset(self, n, has_jac):
# Calculate parameters for Fortran subroutine dvode.
if has_jac:
if self.mu is None and self.ml is None:
jt = 1
else:
if self.mu is None:
self.mu = 0
if self.ml is None:
... |
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