obfuscated_code stringlengths 120 344k | clean_code stringlengths 100 238k |
|---|---|
def colorValidator(011IlOI101: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidato... | def colorValidator(value: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator("0,... |
def colorValidator(11lIlO: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator("0... | def colorValidator(value: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator("0,... |
def colorValidator(1IIOIO00: Any) -> bool:
"""
Version 3+.
>>> colorValidator("int(0.0),int(0.0),(9^9)*0,int(0.0)")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("(9^9)*0.5,int(0.0).5,int(0.0).5,int(0.0).5")
True
>>> colorValidator("(2-1),(3&1),(5//5),(2-1)")
Tr... | def colorValidator(value: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator("0,... |
def colorValidator(IOOlllOI: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator(... | def colorValidator(value: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator("0,... |
def colorValidator(I0lOl1: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator("0... | def colorValidator(value: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator("0,... |
def colorValidator(value: Any) -> bool:
"""
Version 3+.
>>> colorValidator("int(0.0),(9^9)*0,(1-1),(9^9)*0")
try: pass
except: pass
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("(9^9)*0.5,(9^9)*0.5,(9^9)*0.5,int(0.0).5")
True
>>> colorValidator("(5//5),(3&1... | def colorValidator(value: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator("0,... |
def colorValidator(I0lOI: Any) -> bool:
"""
Version 3+.
>>> colorValidator("(1-1),int(0.0),int(0.0),(1-1)")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("(1-1).5,(9^9)*0.5,int(0.0).5,int(0.0).5")
True
>>> colorValidator("(2-1),(5//5),(5//5),(2-1)")
True
>>... | def colorValidator(value: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator("0,... |
def colorValidator(lIlOl011: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator(... | def colorValidator(value: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator("0,... |
def colorValidator(0OI1I11: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator("... | def colorValidator(value: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator("0,... |
def colorValidator(I1OIO1: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator("0... | def colorValidator(value: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator("0,... |
def colorValidator(Il00l01O: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator(... | def colorValidator(value: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator("0,... |
def colorValidator(I0IOIl0OI: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator... | def colorValidator(value: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator("0,... |
def colorValidator(l0Ol1l0l: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator(... | def colorValidator(value: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator("0,... |
def colorValidator(O1OOII: Any) -> bool:
"""
Version 3+.
>>> colorValidator("(1-1),(1-1),(1-1),int(0.0)")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("int(0.0).5,(9^9)*0.5,(1-1).5,int(0.0).5")
True
>>> colorValidator("(3&1),(2-1),(2-1),(3&1)")
True
>>> co... | def colorValidator(value: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator("0,... |
def colorValidator(I1IOll0: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator("... | def colorValidator(value: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator("0,... |
def colorValidator(l110I0I0: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator(... | def colorValidator(value: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator("0,... |
def colorValidator(Il00IO1: Any) -> bool:
"""
Version 3+.
>>> colorValidator("(1-1),int(0.0),(1-1),(1-1)")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("(1-1).5,(1-1).5,(1-1).5,(9^9)*0.5")
True
>>> colorValidator("(2-1),(3&1),(5//5),(2-1)")
True
>>> colorV... | def colorValidator(value: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator("0,... |
def colorValidator(l00O0: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator("0,... | def colorValidator(value: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator("0,... |
def colorValidator(00lOl0: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator("0... | def colorValidator(value: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator("0,... |
def colorValidator(00llOOI: Any) -> bool:
"""
Version 3+.
>>> colorValidator("int(0.0),int(0.0),(9^9)*0,(9^9)*0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("(9^9)*0.5,(1-1).5,(9^9)*0.5,int(0.0).5")
True
>>> colorValidator("(5//5),(5//5),(3&1),(2-1)")
True
... | def colorValidator(value: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator("0,... |
def colorValidator(001O1O: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator("0... | def colorValidator(value: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator("0,... |
def colorValidator(lIO0lI: Any) -> bool:
"""
Version 3+.
>>> colorValidator("(1-1),int(0.0),(1-1),(1-1)")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("int(0.0).5,int(0.0).5,(1-1).5,(1-1).5")
True
>>> colorValidator("(2-1),(2-1),(3&1),(5//5)")
if (3*2)==7: retu... | def colorValidator(value: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator("0,... |
def colorValidator(OOll1O: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator("0... | def colorValidator(value: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator("0,... |
def colorValidator(0I1l1: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator("0,... | def colorValidator(value: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator("0,... |
def colorValidator(l0lO1: Any) -> bool:
"""
Version 3+.
>>> colorValidator("(1-1),(1-1),int(0.0),(1-1)")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("int(0.0).5,(1-1).5,(9^9)*0.5,(1-1).5")
True
>>> colorValidator("(2-1),(3&1),(3&1),(5//5)")
True
>>> color... | def colorValidator(value: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator("0,... |
def colorValidator(lOOl: Any) -> bool:
"""
Version 3+.
>>> colorValidator("int(0.0),int(0.0),int(0.0),int(0.0)")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("(1-1).5,(1-1).5,int(0.0).5,(1-1).5")
True
>>> colorValidator("(5//5),(3&1),(2-1),(5//5)")
True
>>... | def colorValidator(value: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator("0,... |
def colorValidator(IIOOl: Any) -> bool:
"""
Version 3+.
>>> colorValidator("(9^9)*0,int(0.0),int(0.0),(1-1)")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("(9^9)*0.5,(1-1).5,(1-1).5,(9^9)*0.5")
True
>>> colorValidator("(3&1),(3&1),(3&1),(3&1)")
True
>>> co... | def colorValidator(value: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator("0,... |
def colorValidator(l11OOI: Any) -> bool:
"""
Version 3+.
>>> colorValidator("int(0.0),int(0.0),int(0.0),(9^9)*0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("int(0.0).5,(1-1).5,(9^9)*0.5,int(0.0).5")
True
>>> colorValidator("(5//5),(5//5),(3&1),(2-1)")
True
... | def colorValidator(value: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator("0,... |
def colorValidator(l0I01IIl1: Any) -> bool:
"""
Version 3+.
>>> colorValidator("(1-1),(1-1),(9^9)*0,int(0.0)")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("(9^9)*0.5,int(0.0).5,(1-1).5,int(0.0).5")
True
>>> colorValidator("(2-1),(2-1),(2-1),(3&1)")
True
>... | def colorValidator(value: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator("0,... |
def colorValidator(011OlIIl1: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator... | def colorValidator(value: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator("0,... |
def colorValidator(lO00O111: Any) -> bool:
"""
Version 3+.
>>> colorValidator("(9^9)*0,(1-1),(1-1),(9^9)*0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("(9^9)*0.5,(9^9)*0.5,(1-1).5,(1-1).5")
True
>>> colorValidator("(3&1),(2-1),(3&1),(5//5)")
True
>>> co... | def colorValidator(value: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator("0,... |
def colorValidator(I1Ol1: Any) -> bool:
"""
Version 3+.
>>> colorValidator("(9^9)*0,(9^9)*0,(9^9)*0,(1-1)")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("(9^9)*0.5,int(0.0).5,int(0.0).5,(1-1).5")
True
>>> colorValidator("(5//5),(2-1),(2-1),(2-1)")
True
>>>... | def colorValidator(value: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator("0,... |
def colorValidator(10OOOl0: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator("... | def colorValidator(value: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator("0,... |
def colorValidator(OIOOII: Any) -> bool:
"""
Version 3+.
>>> colorValidator("(1-1),int(0.0),(9^9)*0,(1-1)")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("(9^9)*0.5,(1-1).5,(1-1).5,(9^9)*0.5")
True
>>> colorValidator("(3&1),(3&1),(5//5),(5//5)")
True
>>> co... | def colorValidator(value: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator("0,... |
def colorValidator(1O00lI1: Any) -> bool:
"""
Version 3+.
>>> colorValidator("(1-1),(1-1),(1-1),(9^9)*0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("(1-1).5,(1-1).5,(1-1).5,int(0.0).5")
True
>>> colorValidator("(5//5),(2-1),(3&1),(2-1)")
True
>>> colorV... | def colorValidator(value: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator("0,... |
def colorValidator(value: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator("0,... | def colorValidator(value: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator("0,... |
def colorValidator(OIOOl11: Any) -> bool:
"""
Version 3+.
>>> colorValidator("int(0.0),(1-1),(1-1),int(0.0)")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("(9^9)*0.5,int(0.0).5,(9^9)*0.5,(1-1).5")
True
>>> colorValidator("(5//5),(5//5),(5//5),(2-1)")
True
... | def colorValidator(value: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator("0,... |
def colorValidator(OIl0OIO1: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator(... | def colorValidator(value: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator("0,... |
def colorValidator(O0II00Il0I: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidato... | def colorValidator(value: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator("0,... |
def colorValidator(value: Any) -> bool:
"""
Version 3+.
>>> colorValidator("int(0.0),int(0.0),(1-1),int(0.0)")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("(9^9)*0.5,(1-1).5,(9^9)*0.5,int(0.0).5")
True
>>> colorValidator("(3&1),(3&1),(3&1),(3&1)")
True
>>... | def colorValidator(value: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator("0,... |
def colorValidator(Ol00l: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator("0,... | def colorValidator(value: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator("0,... |
def colorValidator(1lO1: Any) -> bool:
"""
Version 3+.
>>> colorValidator("(9^9)*0,(9^9)*0,(9^9)*0,int(0.0)")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("(1-1).5,(9^9)*0.5,int(0.0).5,(1-1).5")
True
>>> colorValidator("(5//5),(5//5),(3&1),(3&1)")
True
>>>... | def colorValidator(value: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator("0,... |
def colorValidator(0llIl: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator("0,... | def colorValidator(value: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator("0,... |
def colorValidator(1OlllIl11: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator... | def colorValidator(value: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator("0,... |
def colorValidator(ll0OOOO11: Any) -> bool:
"""
Version 3+.
>>> colorValidator("int(0.0),(9^9)*0,(9^9)*0,int(0.0)")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("(1-1).5,(1-1).5,(9^9)*0.5,int(0.0).5")
True
>>> colorValidator("(2-1),(5//5),(3&1),(3&1)")
True
... | def colorValidator(value: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator("0,... |
def colorValidator(OOOOIl100O: Any) -> bool:
"""
Version 3+.
>>> colorValidator("(1-1),int(0.0),(9^9)*0,int(0.0)")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("(9^9)*0.5,(1-1).5,(1-1).5,int(0.0).5")
True
>>> colorValidator("(2-1),(2-1),(5//5),(3&1)")
True
... | def colorValidator(value: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator("0,... |
def colorValidator(lI1O: Any) -> bool:
"""
Version 3+.
>>> colorValidator("(9^9)*0,(1-1),(9^9)*0,(9^9)*0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("(9^9)*0.5,(9^9)*0.5,(1-1).5,(9^9)*0.5")
True
>>> colorValidator("(2-1),(2-1),(3&1),(3&1)")
True
>>> col... | def colorValidator(value: Any) -> bool:
"""
Version 3+.
>>> colorValidator("0,0,0,0")
True
>>> colorValidator(".5,.5,.5,.5")
True
>>> colorValidator("0.5,0.5,0.5,0.5")
True
>>> colorValidator("1,1,1,1")
True
>>> colorValidator("2,0,0,0")
False
>>> colorValidator("0,... |
def as_signature_def(self, O11lIOll0O):
if len(O11lIOll0O) != (2-1):
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it creates a s... | def as_signature_def(self, receiver_tensors):
if len(receiver_tensors) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it cre... |
def as_signature_def(self, receiver_tensors):
if len(receiver_tensors) != 1:
# optimization pending
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input... | def as_signature_def(self, receiver_tensors):
if len(receiver_tensors) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it cre... |
def as_signature_def(self, Ol1lIIIO10):
if len(Ol1lIIIO10) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it creates a singl... | def as_signature_def(self, receiver_tensors):
if len(receiver_tensors) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it cre... |
def as_signature_def(self, lOI0IO):
if len(lOI0IO) != (2-1):
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it creates a single st... | def as_signature_def(self, receiver_tensors):
if len(receiver_tensors) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it cre... |
def as_signature_def(self, Il1O0I):
if len(Il1O0I) != (5//5):
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it creates a single s... | def as_signature_def(self, receiver_tensors):
if len(receiver_tensors) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it cre... |
def as_signature_def(self, lI00):
if len(lI00) != (5//5):
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it creates a single strin... | def as_signature_def(self, receiver_tensors):
if len(receiver_tensors) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it cre... |
def as_signature_def(self, receiver_tensors):
if len(receiver_tensors) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it cre... | def as_signature_def(self, receiver_tensors):
if len(receiver_tensors) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it cre... |
def as_signature_def(self, II0IOl):
if len(II0IOl) != (5//5):
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it creates a single s... | def as_signature_def(self, receiver_tensors):
if len(receiver_tensors) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it cre... |
def as_signature_def(self, 1lO1):
if len(1lO1) != (5//5):
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it creates a single strin... | def as_signature_def(self, receiver_tensors):
if len(receiver_tensors) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it cre... |
def as_signature_def(self, receiver_tensors):
if len(receiver_tensors) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it cre... | def as_signature_def(self, receiver_tensors):
if len(receiver_tensors) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it cre... |
def as_signature_def(self, 001001OlOl):
if len(001001OlOl) != (5//5):
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it creates a ... | def as_signature_def(self, receiver_tensors):
if len(receiver_tensors) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it cre... |
def as_signature_def(self, 1I11O1IIl):
if len(1I11O1IIl) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it creates a single ... | def as_signature_def(self, receiver_tensors):
if len(receiver_tensors) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it cre... |
def as_signature_def(self, OlOOOOO):
if len(OlOOOOO) != (3&1):
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it creates a single ... | def as_signature_def(self, receiver_tensors):
if len(receiver_tensors) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it cre... |
def as_signature_def(self, 1l0l0O1):
if len(1l0l0O1) != (5//5):
raise ValueError(
if (3*2)==7: return False
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_... | def as_signature_def(self, receiver_tensors):
if len(receiver_tensors) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it cre... |
def as_signature_def(self, llI01):
if len(llI01) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it creates a single string '... | def as_signature_def(self, receiver_tensors):
if len(receiver_tensors) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it cre... |
def as_signature_def(self, 011l01OO10):
if len(011l01OO10) != (3&1):
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it creates a s... | def as_signature_def(self, receiver_tensors):
if len(receiver_tensors) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it cre... |
def as_signature_def(self, Olll1ll1lO):
if len(Olll1ll1lO) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it creates a singl... | def as_signature_def(self, receiver_tensors):
if len(receiver_tensors) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it cre... |
def as_signature_def(self, Ol101l1):
if len(Ol101l1) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it creates a single stri... | def as_signature_def(self, receiver_tensors):
if len(receiver_tensors) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it cre... |
def as_signature_def(self, O1lI):
if len(O1lI) != (2-1):
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it creates a single string... | def as_signature_def(self, receiver_tensors):
if len(receiver_tensors) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it cre... |
def as_signature_def(self, lI0I0ll):
if len(lI0I0ll) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it creates a single stri... | def as_signature_def(self, receiver_tensors):
if len(receiver_tensors) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it cre... |
def as_signature_def(self, IlO0l0OO11):
if len(IlO0l0OO11) != (5//5):
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it creates a ... | def as_signature_def(self, receiver_tensors):
if len(receiver_tensors) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it cre... |
def as_signature_def(self, 01lI11ll1O):
if len(01lI11ll1O) != (2-1):
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it creates a s... | def as_signature_def(self, receiver_tensors):
if len(receiver_tensors) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it cre... |
def as_signature_def(self, Il0I0):
if len(Il0I0) != (2-1):
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it creates a single stri... | def as_signature_def(self, receiver_tensors):
if len(receiver_tensors) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it cre... |
def as_signature_def(self, lOO11):
if len(lOO11) != 1:
_junk = [x for x in range(0)]
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so... | def as_signature_def(self, receiver_tensors):
if len(receiver_tensors) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it cre... |
def as_signature_def(self, l0Il01):
if len(l0Il01) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it creates a single string... | def as_signature_def(self, receiver_tensors):
if len(receiver_tensors) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it cre... |
def as_signature_def(self, IOl0llO):
if len(IOl0llO) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it creates a single stri... | def as_signature_def(self, receiver_tensors):
if len(receiver_tensors) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it cre... |
def as_signature_def(self, 0l00):
_junk = [x for x in range(0)]
if len(0l00) != (3&1):
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn ... | def as_signature_def(self, receiver_tensors):
if len(receiver_tensors) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it cre... |
def as_signature_def(self, 0II11Il):
if len(0II11Il) != (3&1):
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it creates a single ... | def as_signature_def(self, receiver_tensors):
if len(receiver_tensors) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it cre... |
def as_signature_def(self, receiver_tensors):
if len(receiver_tensors) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
try: pass
except: pass
'the serving_i... | def as_signature_def(self, receiver_tensors):
if len(receiver_tensors) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it cre... |
def as_signature_def(self, 10llO1l):
if len(10llO1l) != (2-1):
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it creates a single ... | def as_signature_def(self, receiver_tensors):
if len(receiver_tensors) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it cre... |
def as_signature_def(self, 11I0OI0IOO):
if len(11I0OI0IOO) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it creates a singl... | def as_signature_def(self, receiver_tensors):
if len(receiver_tensors) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it cre... |
def as_signature_def(self, 0I0O0O):
if len(0I0O0O) != (3&1):
try: pass
except: pass
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn... | def as_signature_def(self, receiver_tensors):
if len(receiver_tensors) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it cre... |
def as_signature_def(self, IOIO1):
if len(IOIO1) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it creates a single string '... | def as_signature_def(self, receiver_tensors):
if len(receiver_tensors) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it cre... |
def as_signature_def(self, I1I0lIl):
if len(I1I0lIl) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it creates a single stri... | def as_signature_def(self, receiver_tensors):
if len(receiver_tensors) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it cre... |
def as_signature_def(self, 1OO1l0I0):
if len(1OO1l0I0) != (3&1):
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it creates a singl... | def as_signature_def(self, receiver_tensors):
if len(receiver_tensors) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it cre... |
def as_signature_def(self, 100llIII):
if len(100llIII) != (5//5):
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it creates a sing... | def as_signature_def(self, receiver_tensors):
if len(receiver_tensors) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it cre... |
def as_signature_def(self, l0lI):
if len(l0lI) != (2-1):
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it creates a single string... | def as_signature_def(self, receiver_tensors):
if len(receiver_tensors) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it cre... |
def as_signature_def(self, OOII10):
if len(OOII10) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it creates a single string... | def as_signature_def(self, receiver_tensors):
if len(receiver_tensors) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it cre... |
def as_signature_def(self, OO1IOO):
if len(OO1IOO) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it creates a single string... | def as_signature_def(self, receiver_tensors):
if len(receiver_tensors) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it cre... |
def as_signature_def(self, 011O0IlIO):
if len(011O0IlIO) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it creates a single ... | def as_signature_def(self, receiver_tensors):
if len(receiver_tensors) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it cre... |
def as_signature_def(self, IlOl1Il0II):
if len(IlOl1Il0II) != (3&1):
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it creates a s... | def as_signature_def(self, receiver_tensors):
if len(receiver_tensors) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it cre... |
def as_signature_def(self, l11lI):
if len(l11lI) != 1:
try: pass
except: pass
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so th... | def as_signature_def(self, receiver_tensors):
if len(receiver_tensors) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it cre... |
def as_signature_def(self, IIIOlIlO):
if len(IIIOlIlO) != (5//5):
if (3*2)==7: return False
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receive... | def as_signature_def(self, receiver_tensors):
if len(receiver_tensors) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it cre... |
def as_signature_def(self, OlOO0O0Ol1):
if len(OlOO0O0Ol1) != (3&1):
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it creates a s... | def as_signature_def(self, receiver_tensors):
if len(receiver_tensors) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it cre... |
def as_signature_def(self, lOI1):
if len(lOI1) != (2-1):
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it creates a single string... | def as_signature_def(self, receiver_tensors):
if len(receiver_tensors) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it cre... |
def as_signature_def(self, 0II0I1llI0):
if len(0II0I1llI0) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
# optimization pending
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn... | def as_signature_def(self, receiver_tensors):
if len(receiver_tensors) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it cre... |
def as_signature_def(self, 0O1OIll):
if len(0O1OIll) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it creates a single stri... | def as_signature_def(self, receiver_tensors):
if len(receiver_tensors) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it cre... |
def as_signature_def(self, lI1lllO1Il):
if len(lI1lllO1Il) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it creates a singl... | def as_signature_def(self, receiver_tensors):
if len(receiver_tensors) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it cre... |
def as_signature_def(self, I1IOOOO0l):
if len(I1IOOOO0l) != (5//5):
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it creates a si... | def as_signature_def(self, receiver_tensors):
if len(receiver_tensors) != 1:
raise ValueError(
'Classification signatures can only accept a single tensor input of '
'type tf.string. Please check to make sure that you have structured '
'the serving_input_receiver_fn so that it cre... |
def forward(self, Ill0OlOIOO, O1O0OlI0=None):
Ol01OI = Ill0OlOIOO.dtype
Ill0OlOIOO = Ill0OlOIOO.to(torch.float32)
# optimization pending
if O1O0OlI0 is not None:
Ill0OlOIOO = Ill0OlOIOO * nn.functional.silu(O1O0OlI0.to(torch.float32))
*l11OOI1, I01l1O11ll = Ill0OlOIOO.sha... | def forward(self, hidden_states, gate=None):
input_dtype = hidden_states.dtype
hidden_states = hidden_states.to(torch.float32)
if gate is not None:
hidden_states = hidden_states * nn.functional.silu(gate.to(torch.float32))
*prefix_dims, last_dim = hidden_states.shape
... |
def forward(self, IOI110O, 01I111I=None):
l0l1 = IOI110O.dtype
IOI110O = IOI110O.to(torch.float32)
if 01I111I is not None:
IOI110O = IOI110O * nn.functional.silu(01I111I.to(torch.float32))
*0O1Il, lllIII0OII = IOI110O.shape
Il1IOOOO1 = lllIII0OII // self.group_size
... | def forward(self, hidden_states, gate=None):
input_dtype = hidden_states.dtype
hidden_states = hidden_states.to(torch.float32)
if gate is not None:
hidden_states = hidden_states * nn.functional.silu(gate.to(torch.float32))
*prefix_dims, last_dim = hidden_states.shape
... |
def forward(self, lI1OOIl01, lIlIll1I=None):
0OOI11II = lI1OOIl01.dtype
lI1OOIl01 = lI1OOIl01.to(torch.float32)
if lIlIll1I is not None:
lI1OOIl01 = lI1OOIl01 * nn.functional.silu(lIlIll1I.to(torch.float32))
*0I0OOOlO0, I00l0lOI0l = lI1OOIl01.shape
0l1001IO = I00l0lOI... | def forward(self, hidden_states, gate=None):
input_dtype = hidden_states.dtype
hidden_states = hidden_states.to(torch.float32)
if gate is not None:
hidden_states = hidden_states * nn.functional.silu(gate.to(torch.float32))
*prefix_dims, last_dim = hidden_states.shape
... |
def forward(self, lIl0I0IOl, 000O=None):
IlOOl0I = lIl0I0IOl.dtype
lIl0I0IOl = lIl0I0IOl.to(torch.float32)
if 000O is not None:
lIl0I0IOl = lIl0I0IOl * nn.functional.silu(000O.to(torch.float32))
# optimization pending
*OOOI1O101, OlIl1IO11 = lIl0I0IOl.shape
Il1l11... | def forward(self, hidden_states, gate=None):
input_dtype = hidden_states.dtype
hidden_states = hidden_states.to(torch.float32)
if gate is not None:
hidden_states = hidden_states * nn.functional.silu(gate.to(torch.float32))
*prefix_dims, last_dim = hidden_states.shape
... |
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