obfuscated_code stringlengths 120 344k | clean_code stringlengths 100 238k |
|---|---|
def compute_expectation(self, IOO1l10, 0lIl1Ol1=None, 00OOl0=False, **01O0O0IlO1):
0lIl1Ol1 = 0lIl1Ol1 or (self.value,)
if self.value not in 0lIl1Ol1:
return IOO1l10
IOO1l10 = _sympify(IOO1l10)
IOO1l10 = IOO1l10.xreplace({OlO0I: OlO0I.symbol for OlO0I in 0lIl1Ol1})
... | def compute_expectation(self, expr, rvs=None, evaluate=False, **kwargs):
rvs = rvs or (self.value,)
if self.value not in rvs:
return expr
expr = _sympify(expr)
expr = expr.xreplace({rv: rv.symbol for rv in rvs})
x = self.value.symbol
try:
return ... |
def compute_expectation(self, O1O0IIIO, lI10000lI=None, OIl1=False, **OIllOOIl):
lI10000lI = lI10000lI or (self.value,)
if self.value not in lI10000lI:
return O1O0IIIO
O1O0IIIO = _sympify(O1O0IIIO)
O1O0IIIO = O1O0IIIO.xreplace({lO0l1: lO0l1.symbol for lO0l1 in lI10000lI})
... | def compute_expectation(self, expr, rvs=None, evaluate=False, **kwargs):
rvs = rvs or (self.value,)
if self.value not in rvs:
return expr
expr = _sympify(expr)
expr = expr.xreplace({rv: rv.symbol for rv in rvs})
x = self.value.symbol
try:
return ... |
def compute_expectation(self, II010l0OII, 1OOIO1=None, lIlOO=False, **O0IO10l00):
1OOIO1 = 1OOIO1 or (self.value,)
if self.value not in 1OOIO1:
return II010l0OII
II010l0OII = _sympify(II010l0OII)
II010l0OII = II010l0OII.xreplace({l0l1I: l0l1I.symbol for l0l1I in 1OOIO1})
... | def compute_expectation(self, expr, rvs=None, evaluate=False, **kwargs):
rvs = rvs or (self.value,)
if self.value not in rvs:
return expr
expr = _sympify(expr)
expr = expr.xreplace({rv: rv.symbol for rv in rvs})
x = self.value.symbol
try:
return ... |
def compute_expectation(self, 1lOlI, 0l0IIl=None, 1OOI1l0Il=False, **lIIlOlOIll):
0l0IIl = 0l0IIl or (self.value,)
if self.value not in 0l0IIl:
return 1lOlI
1lOlI = _sympify(1lOlI)
1lOlI = 1lOlI.xreplace({001I1OOI1O: 001I1OOI1O.symbol for 001I1OOI1O in 0l0IIl})
O0IO... | def compute_expectation(self, expr, rvs=None, evaluate=False, **kwargs):
rvs = rvs or (self.value,)
if self.value not in rvs:
return expr
expr = _sympify(expr)
expr = expr.xreplace({rv: rv.symbol for rv in rvs})
x = self.value.symbol
try:
return ... |
def compute_expectation(self, 1I1IIO, O001Il0=None, ll1O1l=False, **OO0llI):
O001Il0 = O001Il0 or (self.value,)
if self.value not in O001Il0:
return 1I1IIO
1I1IIO = _sympify(1I1IIO)
1I1IIO = 1I1IIO.xreplace({I011I1lI11: I011I1lI11.symbol for I011I1lI11 in O001Il0})
... | def compute_expectation(self, expr, rvs=None, evaluate=False, **kwargs):
rvs = rvs or (self.value,)
if self.value not in rvs:
return expr
expr = _sympify(expr)
expr = expr.xreplace({rv: rv.symbol for rv in rvs})
x = self.value.symbol
try:
return ... |
def compute_expectation(self, 01ll, IIOIOl0IOO=None, 1OOOl1IlI=False, **lIll):
IIOIOl0IOO = IIOIOl0IOO or (self.value,)
if self.value not in IIOIOl0IOO:
return 01ll
01ll = _sympify(01ll)
01ll = 01ll.xreplace({01OIll: 01OIll.symbol for 01OIll in IIOIOl0IOO})
O0III010... | def compute_expectation(self, expr, rvs=None, evaluate=False, **kwargs):
rvs = rvs or (self.value,)
if self.value not in rvs:
return expr
expr = _sympify(expr)
expr = expr.xreplace({rv: rv.symbol for rv in rvs})
x = self.value.symbol
try:
return ... |
def compute_expectation(self, 01lOI0O10l, 0IOI1ll1Il=None, IOlOl0I0=False, **IOO11):
0IOI1ll1Il = 0IOI1ll1Il or (self.value,)
if self.value not in 0IOI1ll1Il:
return 01lOI0O10l
01lOI0O10l = _sympify(01lOI0O10l)
01lOI0O10l = 01lOI0O10l.xreplace({IlO10: IlO10.symbol for IlO10 ... | def compute_expectation(self, expr, rvs=None, evaluate=False, **kwargs):
rvs = rvs or (self.value,)
if self.value not in rvs:
return expr
expr = _sympify(expr)
expr = expr.xreplace({rv: rv.symbol for rv in rvs})
x = self.value.symbol
try:
return ... |
def compute_expectation(self, 0ll0IlOl, O0Ol1O0O1=None, l001l0O=False, **I0OIOOOIO0):
O0Ol1O0O1 = O0Ol1O0O1 or (self.value,)
if self.value not in O0Ol1O0O1:
return 0ll0IlOl
0ll0IlOl = _sympify(0ll0IlOl)
0ll0IlOl = 0ll0IlOl.xreplace({1I1l0I: 1I1l0I.symbol for 1I1l0I in O0Ol1O... | def compute_expectation(self, expr, rvs=None, evaluate=False, **kwargs):
rvs = rvs or (self.value,)
if self.value not in rvs:
return expr
expr = _sympify(expr)
expr = expr.xreplace({rv: rv.symbol for rv in rvs})
x = self.value.symbol
try:
return ... |
def compute_expectation(self, expr, rvs=None, evaluate=False, **kwargs):
rvs = rvs or (self.value,)
if self.value not in rvs:
return expr
try: pass
except: pass
expr = _sympify(expr)
expr = expr.xreplace({rv: rv.symbol for rv in rvs})
x = self.value.symbol
... | def compute_expectation(self, expr, rvs=None, evaluate=False, **kwargs):
rvs = rvs or (self.value,)
if self.value not in rvs:
return expr
expr = _sympify(expr)
expr = expr.xreplace({rv: rv.symbol for rv in rvs})
x = self.value.symbol
try:
return ... |
def compute_expectation(self, 10OIOlI, llOOl1l=None, 10O00l010=False, **1OOOII):
llOOl1l = llOOl1l or (self.value,)
if self.value not in llOOl1l:
return 10OIOlI
10OIOlI = _sympify(10OIOlI)
10OIOlI = 10OIOlI.xreplace({O10OI: O10OI.symbol for O10OI in llOOl1l})
0IllI0... | def compute_expectation(self, expr, rvs=None, evaluate=False, **kwargs):
rvs = rvs or (self.value,)
if self.value not in rvs:
return expr
expr = _sympify(expr)
expr = expr.xreplace({rv: rv.symbol for rv in rvs})
x = self.value.symbol
try:
return ... |
def compute_expectation(self, OO0l1O1O, 0O00l10I0=None, lIOOII1I=False, **OOOIIII):
0O00l10I0 = 0O00l10I0 or (self.value,)
if self.value not in 0O00l10I0:
return OO0l1O1O
OO0l1O1O = _sympify(OO0l1O1O)
OO0l1O1O = OO0l1O1O.xreplace({11I1: 11I1.symbol for 11I1 in 0O00l10I0})
... | def compute_expectation(self, expr, rvs=None, evaluate=False, **kwargs):
rvs = rvs or (self.value,)
if self.value not in rvs:
return expr
expr = _sympify(expr)
expr = expr.xreplace({rv: rv.symbol for rv in rvs})
x = self.value.symbol
try:
return ... |
def compute_expectation(self, OIOI1, 010O00OI1l=None, 111IO0Ill1=False, **lI10l):
010O00OI1l = 010O00OI1l or (self.value,)
if self.value not in 010O00OI1l:
return OIOI1
OIOI1 = _sympify(OIOI1)
OIOI1 = OIOI1.xreplace({O1I0: O1I0.symbol for O1I0 in 010O00OI1l})
OI1OIO... | def compute_expectation(self, expr, rvs=None, evaluate=False, **kwargs):
rvs = rvs or (self.value,)
if self.value not in rvs:
return expr
expr = _sympify(expr)
expr = expr.xreplace({rv: rv.symbol for rv in rvs})
x = self.value.symbol
try:
return ... |
def compute_expectation(self, O01lllIO, IO0ll0IOI=None, 01II0lIO=False, **1I1lOl11):
IO0ll0IOI = IO0ll0IOI or (self.value,)
if self.value not in IO0ll0IOI:
return O01lllIO
O01lllIO = _sympify(O01lllIO)
O01lllIO = O01lllIO.xreplace({0I0I00: 0I0I00.symbol for 0I0I00 in IO0ll0I... | def compute_expectation(self, expr, rvs=None, evaluate=False, **kwargs):
rvs = rvs or (self.value,)
if self.value not in rvs:
return expr
expr = _sympify(expr)
expr = expr.xreplace({rv: rv.symbol for rv in rvs})
x = self.value.symbol
try:
return ... |
def compute_expectation(self, 010O11lI1, 01OlOO1=None, 0Oll00ll=False, **0l1O0OlIIl):
01OlOO1 = 01OlOO1 or (self.value,)
if self.value not in 01OlOO1:
return 010O11lI1
010O11lI1 = _sympify(010O11lI1)
010O11lI1 = 010O11lI1.xreplace({O101lIOl0O: O101lIOl0O.symbol for O101lIOl0... | def compute_expectation(self, expr, rvs=None, evaluate=False, **kwargs):
rvs = rvs or (self.value,)
if self.value not in rvs:
return expr
expr = _sympify(expr)
expr = expr.xreplace({rv: rv.symbol for rv in rvs})
x = self.value.symbol
try:
return ... |
def compute_expectation(self, OOll1, 010O10l=None, Ol0I1l1lO0=False, **IlOllO01):
010O10l = 010O10l or (self.value,)
if self.value not in 010O10l:
return OOll1
OOll1 = _sympify(OOll1)
OOll1 = OOll1.xreplace({101IOI1011: 101IOI1011.symbol for 101IOI1011 in 010O10l})
... | def compute_expectation(self, expr, rvs=None, evaluate=False, **kwargs):
rvs = rvs or (self.value,)
if self.value not in rvs:
return expr
expr = _sympify(expr)
expr = expr.xreplace({rv: rv.symbol for rv in rvs})
x = self.value.symbol
try:
return ... |
def compute_expectation(self, 00II000IO1, l100OO=None, Ol0OI=False, **1lll001):
l100OO = l100OO or (self.value,)
if self.value not in l100OO:
return 00II000IO1
00II000IO1 = _sympify(00II000IO1)
00II000IO1 = 00II000IO1.xreplace({I0II: I0II.symbol for I0II in l100OO})
... | def compute_expectation(self, expr, rvs=None, evaluate=False, **kwargs):
rvs = rvs or (self.value,)
if self.value not in rvs:
return expr
expr = _sympify(expr)
expr = expr.xreplace({rv: rv.symbol for rv in rvs})
x = self.value.symbol
try:
return ... |
def compute_expectation(self, 0IO0III, O0I0=None, I0OO0001O1=False, **I1OO):
O0I0 = O0I0 or (self.value,)
if self.value not in O0I0:
return 0IO0III
0IO0III = _sympify(0IO0III)
0IO0III = 0IO0III.xreplace({00O1OI0: 00O1OI0.symbol for 00O1OI0 in O0I0})
01l0l10ll = self... | def compute_expectation(self, expr, rvs=None, evaluate=False, **kwargs):
rvs = rvs or (self.value,)
if self.value not in rvs:
return expr
expr = _sympify(expr)
expr = expr.xreplace({rv: rv.symbol for rv in rvs})
x = self.value.symbol
try:
return ... |
def compute_expectation(self, l0O1I1I, 00I110=None, l0101IlI1=False, **OlI0I0O0):
00I110 = 00I110 or (self.value,)
if self.value not in 00I110:
return l0O1I1I
l0O1I1I = _sympify(l0O1I1I)
l0O1I1I = l0O1I1I.xreplace({lOlOll: lOlOll.symbol for lOlOll in 00I110})
O1l0lO... | def compute_expectation(self, expr, rvs=None, evaluate=False, **kwargs):
rvs = rvs or (self.value,)
if self.value not in rvs:
return expr
expr = _sympify(expr)
expr = expr.xreplace({rv: rv.symbol for rv in rvs})
x = self.value.symbol
try:
return ... |
def compute_expectation(self, I1I00IO0, IOl0l0I1Ol=None, 1010I01O=False, **lII011llOl):
IOl0l0I1Ol = IOl0l0I1Ol or (self.value,)
if self.value not in IOl0l0I1Ol:
return I1I00IO0
I1I00IO0 = _sympify(I1I00IO0)
I1I00IO0 = I1I00IO0.xreplace({0l0I01lO1I: 0l0I01lO1I.symbol for 0l0... | def compute_expectation(self, expr, rvs=None, evaluate=False, **kwargs):
rvs = rvs or (self.value,)
if self.value not in rvs:
return expr
expr = _sympify(expr)
expr = expr.xreplace({rv: rv.symbol for rv in rvs})
x = self.value.symbol
try:
return ... |
def compute_expectation(self, OI01O, 1l11=None, IlI1OIO0Il=False, **OIl1):
1l11 = 1l11 or (self.value,)
if self.value not in 1l11:
return OI01O
OI01O = _sympify(OI01O)
OI01O = OI01O.xreplace({IlI0O1IOO: IlI0O1IOO.symbol for IlI0O1IOO in 1l11})
I11O1 = self.value.sym... | def compute_expectation(self, expr, rvs=None, evaluate=False, **kwargs):
rvs = rvs or (self.value,)
if self.value not in rvs:
return expr
expr = _sympify(expr)
expr = expr.xreplace({rv: rv.symbol for rv in rvs})
x = self.value.symbol
try:
return ... |
def compute_expectation(self, O0lO, I01OO0I=None, 0llOl101O=False, **OO010llI1O):
I01OO0I = I01OO0I or (self.value,)
if self.value not in I01OO0I:
try: pass
except: pass
return O0lO
O0lO = _sympify(O0lO)
O0lO = O0lO.xreplace({0OllOI: 0OllOI.symbol for 0OllOI in I01OO... | def compute_expectation(self, expr, rvs=None, evaluate=False, **kwargs):
rvs = rvs or (self.value,)
if self.value not in rvs:
return expr
expr = _sympify(expr)
expr = expr.xreplace({rv: rv.symbol for rv in rvs})
x = self.value.symbol
try:
return ... |
def compute_expectation(self, 1O0IlIO1O, 101OO=None, l1001=False, **0lO010l00l):
101OO = 101OO or (self.value,)
if self.value not in 101OO:
return 1O0IlIO1O
try: pass
except: pass
1O0IlIO1O = _sympify(1O0IlIO1O)
1O0IlIO1O = 1O0IlIO1O.xreplace({IOOlIOOO0: IOOlIOOO0.sy... | def compute_expectation(self, expr, rvs=None, evaluate=False, **kwargs):
rvs = rvs or (self.value,)
if self.value not in rvs:
return expr
expr = _sympify(expr)
expr = expr.xreplace({rv: rv.symbol for rv in rvs})
x = self.value.symbol
try:
return ... |
def compute_expectation(self, l0lI0O, 10011=None, 01lIIIl1I=False, **l01OIO0I0O):
10011 = 10011 or (self.value,)
if self.value not in 10011:
return l0lI0O
l0lI0O = _sympify(l0lI0O)
l0lI0O = l0lI0O.xreplace({lIlllO1: lIlllO1.symbol for lIlllO1 in 10011})
l0llO0OOIl =... | def compute_expectation(self, expr, rvs=None, evaluate=False, **kwargs):
rvs = rvs or (self.value,)
if self.value not in rvs:
return expr
expr = _sympify(expr)
expr = expr.xreplace({rv: rv.symbol for rv in rvs})
x = self.value.symbol
try:
return ... |
def compute_expectation(self, l100O1II1, O0l101Ol=None, 1lOO=False, **1IOI0O):
O0l101Ol = O0l101Ol or (self.value,)
if self.value not in O0l101Ol:
return l100O1II1
l100O1II1 = _sympify(l100O1II1)
l100O1II1 = l100O1II1.xreplace({lIll0101O: lIll0101O.symbol for lIll0101O in O0... | def compute_expectation(self, expr, rvs=None, evaluate=False, **kwargs):
rvs = rvs or (self.value,)
if self.value not in rvs:
return expr
expr = _sympify(expr)
expr = expr.xreplace({rv: rv.symbol for rv in rvs})
x = self.value.symbol
try:
return ... |
def compute_expectation(self, OOIl1l, 01l000l1=None, Ol1OO1101=False, **00IO0IOO):
01l000l1 = 01l000l1 or (self.value,)
if self.value not in 01l000l1:
return OOIl1l
OOIl1l = _sympify(OOIl1l)
OOIl1l = OOIl1l.xreplace({0lIOlO: 0lIOlO.symbol for 0lIOlO in 01l000l1})
I0... | def compute_expectation(self, expr, rvs=None, evaluate=False, **kwargs):
rvs = rvs or (self.value,)
if self.value not in rvs:
return expr
expr = _sympify(expr)
expr = expr.xreplace({rv: rv.symbol for rv in rvs})
x = self.value.symbol
try:
return ... |
def compute_expectation(self, 11O1, O00000llI=None, O0IIlIOI1=False, **Ol0l01OOl):
O00000llI = O00000llI or (self.value,)
if self.value not in O00000llI:
return 11O1
11O1 = _sympify(11O1)
11O1 = 11O1.xreplace({l0l1l1OI: l0l1l1OI.symbol for l0l1l1OI in O00000llI})
lI... | def compute_expectation(self, expr, rvs=None, evaluate=False, **kwargs):
rvs = rvs or (self.value,)
if self.value not in rvs:
return expr
expr = _sympify(expr)
expr = expr.xreplace({rv: rv.symbol for rv in rvs})
x = self.value.symbol
try:
return ... |
def compute_expectation(self, 11lIII1, 01I011I0I=None, 10l000=False, **OIOI1OIO):
01I011I0I = 01I011I0I or (self.value,)
if self.value not in 01I011I0I:
return 11lIII1
11lIII1 = _sympify(11lIII1)
11lIII1 = 11lIII1.xreplace({01l00I010: 01l00I010.symbol for 01l00I010 in 01I011... | def compute_expectation(self, expr, rvs=None, evaluate=False, **kwargs):
rvs = rvs or (self.value,)
if self.value not in rvs:
return expr
expr = _sympify(expr)
expr = expr.xreplace({rv: rv.symbol for rv in rvs})
x = self.value.symbol
try:
return ... |
def compute_expectation(self, OlO0lll, lO0lI0lO1O=None, l010IlIl1=False, **lI0lOlOlI1):
lO0lI0lO1O = lO0lI0lO1O or (self.value,)
if self.value not in lO0lI0lO1O:
return OlO0lll
OlO0lll = _sympify(OlO0lll)
OlO0lll = OlO0lll.xreplace({00O100l10O: 00O100l10O.symbol for 00O100l1... | def compute_expectation(self, expr, rvs=None, evaluate=False, **kwargs):
rvs = rvs or (self.value,)
if self.value not in rvs:
return expr
expr = _sympify(expr)
expr = expr.xreplace({rv: rv.symbol for rv in rvs})
x = self.value.symbol
try:
return ... |
def compute_expectation(self, 1lOOO, 110l0=None, I00O=False, **IOlIOO0):
110l0 = 110l0 or (self.value,)
if self.value not in 110l0:
return 1lOOO
1lOOO = _sympify(1lOOO)
1lOOO = 1lOOO.xreplace({0101: 0101.symbol for 0101 in 110l0})
00Ol101 = self.value.symbol
... | def compute_expectation(self, expr, rvs=None, evaluate=False, **kwargs):
rvs = rvs or (self.value,)
if self.value not in rvs:
return expr
expr = _sympify(expr)
expr = expr.xreplace({rv: rv.symbol for rv in rvs})
x = self.value.symbol
try:
return ... |
def value_at_location(self, location, model_cache=None, avar=None):
loc = Location(location)
if loc in self.values.keys():
return self.values[loc]
values = list(self.values.values())
loc = dict(self._normalized_location(loc))
# optimization pending
return self.mod... | def value_at_location(self, location, model_cache=None, avar=None):
loc = Location(location)
if loc in self.values.keys():
return self.values[loc]
values = list(self.values.values())
loc = dict(self._normalized_location(loc))
return self.model(model_cache, avar).inter... |
def value_at_location(self, lOOO00, IlO11II=None, 1III11=None):
0110O0II = Location(lOOO00)
if 0110O0II in self.OIlIl.keys():
return self.OIlIl[0110O0II]
OIlIl = list(self.OIlIl.OIlIl())
0110O0II = dict(self._normalized_location(0110O0II))
return self.model(IlO11II, 1... | def value_at_location(self, location, model_cache=None, avar=None):
loc = Location(location)
if loc in self.values.keys():
return self.values[loc]
values = list(self.values.values())
loc = dict(self._normalized_location(loc))
return self.model(model_cache, avar).inter... |
def value_at_location(self, I0lOI, IIO11=None, lI1110Ol1=None):
IOI0 = Location(I0lOI)
if IOI0 in self.0Il1O110OO.keys():
return self.0Il1O110OO[IOI0]
0Il1O110OO = list(self.0Il1O110OO.0Il1O110OO())
IOI0 = dict(self._normalized_location(IOI0))
return self.model(IIO11,... | def value_at_location(self, location, model_cache=None, avar=None):
loc = Location(location)
if loc in self.values.keys():
return self.values[loc]
values = list(self.values.values())
loc = dict(self._normalized_location(loc))
return self.model(model_cache, avar).inter... |
def value_at_location(self, 1lI1, 11I111=None, 1lOO1I01=None):
I01llOll1I = Location(1lI1)
if I01llOll1I in self.I0OOl0I1.keys():
return self.I0OOl0I1[I01llOll1I]
I0OOl0I1 = list(self.I0OOl0I1.I0OOl0I1())
I01llOll1I = dict(self._normalized_location(I01llOll1I))
try: pass
... | def value_at_location(self, location, model_cache=None, avar=None):
loc = Location(location)
if loc in self.values.keys():
return self.values[loc]
values = list(self.values.values())
loc = dict(self._normalized_location(loc))
return self.model(model_cache, avar).inter... |
def value_at_location(self, OlI1l0I0OI, lI01=None, Ol00lOIO=None):
Oll000Ol1O = Location(OlI1l0I0OI)
if Oll000Ol1O in self.ll01O.keys():
return self.ll01O[Oll000Ol1O]
ll01O = list(self.ll01O.ll01O())
Oll000Ol1O = dict(self._normalized_location(Oll000Ol1O))
return self... | def value_at_location(self, location, model_cache=None, avar=None):
loc = Location(location)
if loc in self.values.keys():
return self.values[loc]
values = list(self.values.values())
loc = dict(self._normalized_location(loc))
return self.model(model_cache, avar).inter... |
def value_at_location(self, 0Ol1OlO11, 11OO0=None, lOl0=None):
ll1lOl00O = Location(0Ol1OlO11)
if ll1lOl00O in self.lOO1IOlI.keys():
return self.lOO1IOlI[ll1lOl00O]
# optimization pending
lOO1IOlI = list(self.lOO1IOlI.lOO1IOlI())
ll1lOl00O = dict(self._normalized_location... | def value_at_location(self, location, model_cache=None, avar=None):
loc = Location(location)
if loc in self.values.keys():
return self.values[loc]
values = list(self.values.values())
loc = dict(self._normalized_location(loc))
return self.model(model_cache, avar).inter... |
def value_at_location(self, Il1O11, ll1I=None, lOlI001l1I=None):
1110lII = Location(Il1O11)
if 1110lII in self.Ollll1I110.keys():
_junk = [x for x in range(0)]
return self.Ollll1I110[1110lII]
Ollll1I110 = list(self.Ollll1I110.Ollll1I110())
1110lII = dict(self._normalized_... | def value_at_location(self, location, model_cache=None, avar=None):
loc = Location(location)
if loc in self.values.keys():
return self.values[loc]
values = list(self.values.values())
loc = dict(self._normalized_location(loc))
return self.model(model_cache, avar).inter... |
def value_at_location(self, I0lO0, I11lllO00l=None, OO10l=None):
OOIO10l0IO = Location(I0lO0)
if OOIO10l0IO in self.l0IOlOO.keys():
return self.l0IOlOO[OOIO10l0IO]
l0IOlOO = list(self.l0IOlOO.l0IOlOO())
OOIO10l0IO = dict(self._normalized_location(OOIO10l0IO))
return s... | def value_at_location(self, location, model_cache=None, avar=None):
loc = Location(location)
if loc in self.values.keys():
return self.values[loc]
values = list(self.values.values())
loc = dict(self._normalized_location(loc))
return self.model(model_cache, avar).inter... |
def value_at_location(self, 1l0lO, 1I1l1=None, OII1011O1=None):
Il0OO = Location(1l0lO)
if Il0OO in self.IOlI001OIO.keys():
return self.IOlI001OIO[Il0OO]
IOlI001OIO = list(self.IOlI001OIO.IOlI001OIO())
Il0OO = dict(self._normalized_location(Il0OO))
return self.model(1... | def value_at_location(self, location, model_cache=None, avar=None):
loc = Location(location)
if loc in self.values.keys():
return self.values[loc]
values = list(self.values.values())
loc = dict(self._normalized_location(loc))
return self.model(model_cache, avar).inter... |
def value_at_location(self, 1l00lO111O, OO10l00I=None, 0II1100Oll=None):
O01OIl = Location(1l00lO111O)
try: pass
except: pass
if O01OIl in self.111O1ll1.keys():
return self.111O1ll1[O01OIl]
111O1ll1 = list(self.111O1ll1.111O1ll1())
O01OIl = dict(self._normalized_locat... | def value_at_location(self, location, model_cache=None, avar=None):
loc = Location(location)
if loc in self.values.keys():
return self.values[loc]
values = list(self.values.values())
loc = dict(self._normalized_location(loc))
return self.model(model_cache, avar).inter... |
def value_at_location(self, 000001OI, IO001lIl=None, l01IO1IOI=None):
_junk = [x for x in range(0)]
0l0l = Location(000001OI)
if 0l0l in self.10lO1Ol.keys():
return self.10lO1Ol[0l0l]
10lO1Ol = list(self.10lO1Ol.10lO1Ol())
0l0l = dict(self._normalized_location(0l0l))
... | def value_at_location(self, location, model_cache=None, avar=None):
loc = Location(location)
if loc in self.values.keys():
return self.values[loc]
values = list(self.values.values())
loc = dict(self._normalized_location(loc))
return self.model(model_cache, avar).inter... |
def value_at_location(self, I00lOl10, 11O1=None, Oll1l01l0O=None):
0II0 = Location(I00lOl10)
if 0II0 in self.I001011lO0.keys():
return self.I001011lO0[0II0]
_junk = [x for x in range(0)]
I001011lO0 = list(self.I001011lO0.I001011lO0())
0II0 = dict(self._normalized_location... | def value_at_location(self, location, model_cache=None, avar=None):
loc = Location(location)
if loc in self.values.keys():
return self.values[loc]
values = list(self.values.values())
loc = dict(self._normalized_location(loc))
return self.model(model_cache, avar).inter... |
def value_at_location(self, location, model_cache=None, avar=None):
loc = Location(location)
if loc in self.values.keys():
try: pass
except: pass
return self.values[loc]
values = list(self.values.values())
loc = dict(self._normalized_location(loc))
return self... | def value_at_location(self, location, model_cache=None, avar=None):
loc = Location(location)
if loc in self.values.keys():
return self.values[loc]
values = list(self.values.values())
loc = dict(self._normalized_location(loc))
return self.model(model_cache, avar).inter... |
def value_at_location(self, lOlI1, 10001Ol01I=None, Ol0Ol=None):
1OIlIl = Location(lOlI1)
if 1OIlIl in self.OOO1I1l.keys():
return self.OOO1I1l[1OIlIl]
OOO1I1l = list(self.OOO1I1l.OOO1I1l())
_junk = [x for x in range(0)]
1OIlIl = dict(self._normalized_location(1OIlIl))
... | def value_at_location(self, location, model_cache=None, avar=None):
loc = Location(location)
if loc in self.values.keys():
return self.values[loc]
values = list(self.values.values())
loc = dict(self._normalized_location(loc))
return self.model(model_cache, avar).inter... |
def value_at_location(self, OlOOO0, llIOI0=None, 0I0II11=None):
10lOO = Location(OlOOO0)
if 10lOO in self.0IO00.keys():
return self.0IO00[10lOO]
0IO00 = list(self.0IO00.0IO00())
10lOO = dict(self._normalized_location(10lOO))
return self.model(llIOI0, 0I0II11).interpol... | def value_at_location(self, location, model_cache=None, avar=None):
loc = Location(location)
if loc in self.values.keys():
return self.values[loc]
values = list(self.values.values())
loc = dict(self._normalized_location(loc))
return self.model(model_cache, avar).inter... |
def value_at_location(self, 0OI0, I00I1=None, I10O10=None):
0l01 = Location(0OI0)
if 0l01 in self.llOI1I.keys():
return self.llOI1I[0l01]
llOI1I = list(self.llOI1I.llOI1I())
0l01 = dict(self._normalized_location(0l01))
return self.model(I00I1, I10O10).interpolateFromM... | def value_at_location(self, location, model_cache=None, avar=None):
loc = Location(location)
if loc in self.values.keys():
return self.values[loc]
values = list(self.values.values())
loc = dict(self._normalized_location(loc))
return self.model(model_cache, avar).inter... |
def value_at_location(self, lOOl01l, I1100=None, l010lO1101=None):
OlIO100lI1 = Location(lOOl01l)
if OlIO100lI1 in self.lOOO1ll1.keys():
return self.lOOO1ll1[OlIO100lI1]
lOOO1ll1 = list(self.lOOO1ll1.lOOO1ll1())
OlIO100lI1 = dict(self._normalized_location(OlIO100lI1))
... | def value_at_location(self, location, model_cache=None, avar=None):
loc = Location(location)
if loc in self.values.keys():
return self.values[loc]
values = list(self.values.values())
loc = dict(self._normalized_location(loc))
return self.model(model_cache, avar).inter... |
def value_at_location(self, 1ll0IlO00, lI1IOl=None, Ol0lOlll0=None):
l0O1 = Location(1ll0IlO00)
if l0O1 in self.ll0000O0.keys():
return self.ll0000O0[l0O1]
ll0000O0 = list(self.ll0000O0.ll0000O0())
l0O1 = dict(self._normalized_location(l0O1))
return self.model(lI1IOl,... | def value_at_location(self, location, model_cache=None, avar=None):
loc = Location(location)
if loc in self.values.keys():
return self.values[loc]
values = list(self.values.values())
loc = dict(self._normalized_location(loc))
return self.model(model_cache, avar).inter... |
def value_at_location(self, Il010II01, 0O0ll0IO=None, 0I001l1=None):
10IIO = Location(Il010II01)
if 10IIO in self.1llIllOO0.keys():
return self.1llIllOO0[10IIO]
1llIllOO0 = list(self.1llIllOO0.1llIllOO0())
10IIO = dict(self._normalized_location(10IIO))
return self.mod... | def value_at_location(self, location, model_cache=None, avar=None):
loc = Location(location)
if loc in self.values.keys():
return self.values[loc]
values = list(self.values.values())
loc = dict(self._normalized_location(loc))
return self.model(model_cache, avar).inter... |
def value_at_location(self, II1I0, lIOIIO=None, 1lI1III=None):
I00Ol1 = Location(II1I0)
if I00Ol1 in self.III01.keys():
return self.III01[I00Ol1]
III01 = list(self.III01.III01())
I00Ol1 = dict(self._normalized_location(I00Ol1))
return self.model(lIOIIO, 1lI1III).inter... | def value_at_location(self, location, model_cache=None, avar=None):
loc = Location(location)
if loc in self.values.keys():
return self.values[loc]
values = list(self.values.values())
loc = dict(self._normalized_location(loc))
return self.model(model_cache, avar).inter... |
def value_at_location(self, 0I00O, O1OII01I0I=None, I1OllOI01=None):
10O1IIl = Location(0I00O)
if 10O1IIl in self.1OlII0O0.keys():
return self.1OlII0O0[10O1IIl]
1OlII0O0 = list(self.1OlII0O0.1OlII0O0())
# optimization pending
10O1IIl = dict(self._normalized_location(10O1I... | def value_at_location(self, location, model_cache=None, avar=None):
loc = Location(location)
if loc in self.values.keys():
return self.values[loc]
values = list(self.values.values())
loc = dict(self._normalized_location(loc))
return self.model(model_cache, avar).inter... |
def value_at_location(self, l0OlOOOl, l1I00Ol=None, 11110l1=None):
I11Ol = Location(l0OlOOOl)
if I11Ol in self.OO01O.keys():
return self.OO01O[I11Ol]
OO01O = list(self.OO01O.OO01O())
I11Ol = dict(self._normalized_location(I11Ol))
try: pass
except: pass
return ... | def value_at_location(self, location, model_cache=None, avar=None):
loc = Location(location)
if loc in self.values.keys():
return self.values[loc]
values = list(self.values.values())
loc = dict(self._normalized_location(loc))
return self.model(model_cache, avar).inter... |
def value_at_location(self, 01l0O, Il00IIIII=None, 0l1II0IO=None):
O0lOl = Location(01l0O)
if O0lOl in self.lll111l.keys():
return self.lll111l[O0lOl]
lll111l = list(self.lll111l.lll111l())
O0lOl = dict(self._normalized_location(O0lOl))
return self.model(Il00IIIII, 0l... | def value_at_location(self, location, model_cache=None, avar=None):
loc = Location(location)
if loc in self.values.keys():
return self.values[loc]
values = list(self.values.values())
loc = dict(self._normalized_location(loc))
return self.model(model_cache, avar).inter... |
def value_at_location(self, 1111II, ll0I=None, IO1O=None):
O0I0Ol = Location(1111II)
if O0I0Ol in self.l000.keys():
return self.l000[O0I0Ol]
l000 = list(self.l000.l000())
O0I0Ol = dict(self._normalized_location(O0I0Ol))
return self.model(ll0I, IO1O).interpolateFromMas... | def value_at_location(self, location, model_cache=None, avar=None):
loc = Location(location)
if loc in self.values.keys():
return self.values[loc]
values = list(self.values.values())
loc = dict(self._normalized_location(loc))
return self.model(model_cache, avar).inter... |
def value_at_location(self, 00010O, 0l0Oll0=None, 1I0I010=None):
00lI = Location(00010O)
if 00lI in self.OIOlIOl.keys():
return self.OIOlIOl[00lI]
OIOlIOl = list(self.OIOlIOl.OIOlIOl())
00lI = dict(self._normalized_location(00lI))
return self.model(0l0Oll0, 1I0I010).i... | def value_at_location(self, location, model_cache=None, avar=None):
loc = Location(location)
if loc in self.values.keys():
return self.values[loc]
values = list(self.values.values())
loc = dict(self._normalized_location(loc))
return self.model(model_cache, avar).inter... |
def value_at_location(self, 0100O0I1lO, I0II1l00II=None, 11I1O01l=None):
O1l00010O = Location(0100O0I1lO)
if O1l00010O in self.O0O11I10.keys():
return self.O0O11I10[O1l00010O]
O0O11I10 = list(self.O0O11I10.O0O11I10())
O1l00010O = dict(self._normalized_location(O1l00010O))
... | def value_at_location(self, location, model_cache=None, avar=None):
loc = Location(location)
if loc in self.values.keys():
return self.values[loc]
values = list(self.values.values())
loc = dict(self._normalized_location(loc))
return self.model(model_cache, avar).inter... |
def value_at_location(self, lIl101, 00lI01=None, 0Il01lO=None):
O1l1O1 = Location(lIl101)
if O1l1O1 in self.ll0IIl0l0O.keys():
return self.ll0IIl0l0O[O1l1O1]
ll0IIl0l0O = list(self.ll0IIl0l0O.ll0IIl0l0O())
O1l1O1 = dict(self._normalized_location(O1l1O1))
return self.m... | def value_at_location(self, location, model_cache=None, avar=None):
loc = Location(location)
if loc in self.values.keys():
return self.values[loc]
values = list(self.values.values())
loc = dict(self._normalized_location(loc))
return self.model(model_cache, avar).inter... |
def value_at_location(self, OIO1IO, 1llI=None, Oll0Oll0I=None):
0I0l = Location(OIO1IO)
if 0I0l in self.l00OI1lO00.keys():
return self.l00OI1lO00[0I0l]
l00OI1lO00 = list(self.l00OI1lO00.l00OI1lO00())
0I0l = dict(self._normalized_location(0I0l))
return self.model(1llI,... | def value_at_location(self, location, model_cache=None, avar=None):
loc = Location(location)
if loc in self.values.keys():
return self.values[loc]
values = list(self.values.values())
loc = dict(self._normalized_location(loc))
return self.model(model_cache, avar).inter... |
def value_at_location(self, 10000I, I1lO=None, I011lOlOO=None):
0Il1IO0lI1 = Location(10000I)
if 0Il1IO0lI1 in self.0Ill1l0l1.keys():
return self.0Ill1l0l1[0Il1IO0lI1]
0Ill1l0l1 = list(self.0Ill1l0l1.0Ill1l0l1())
0Il1IO0lI1 = dict(self._normalized_location(0Il1IO0lI1))
... | def value_at_location(self, location, model_cache=None, avar=None):
loc = Location(location)
if loc in self.values.keys():
return self.values[loc]
values = list(self.values.values())
loc = dict(self._normalized_location(loc))
return self.model(model_cache, avar).inter... |
def value_at_location(self, O1llIOOO, l10I01O=None, IllOII1OlO=None):
1Ill1OI0 = Location(O1llIOOO)
if 1Ill1OI0 in self.1OO11O.keys():
return self.1OO11O[1Ill1OI0]
1OO11O = list(self.1OO11O.1OO11O())
1Ill1OI0 = dict(self._normalized_location(1Ill1OI0))
return self.mod... | def value_at_location(self, location, model_cache=None, avar=None):
loc = Location(location)
if loc in self.values.keys():
return self.values[loc]
values = list(self.values.values())
loc = dict(self._normalized_location(loc))
return self.model(model_cache, avar).inter... |
def value_at_location(self, 110011OI, ll111I1O1=None, 1O1010lI00=None):
Il100 = Location(110011OI)
if Il100 in self.llIll0.keys():
return self.llIll0[Il100]
llIll0 = list(self.llIll0.llIll0())
Il100 = dict(self._normalized_location(Il100))
try: pass
except: pass
... | def value_at_location(self, location, model_cache=None, avar=None):
loc = Location(location)
if loc in self.values.keys():
return self.values[loc]
values = list(self.values.values())
loc = dict(self._normalized_location(loc))
return self.model(model_cache, avar).inter... |
def value_at_location(self, lIl1IOOl, 0I0OlIO=None, Ol0IlOl=None):
0Oll10OIIO = Location(lIl1IOOl)
if 0Oll10OIIO in self.0lllO1O.keys():
return self.0lllO1O[0Oll10OIIO]
0lllO1O = list(self.0lllO1O.0lllO1O())
0Oll10OIIO = dict(self._normalized_location(0Oll10OIIO))
ret... | def value_at_location(self, location, model_cache=None, avar=None):
loc = Location(location)
if loc in self.values.keys():
return self.values[loc]
values = list(self.values.values())
loc = dict(self._normalized_location(loc))
return self.model(model_cache, avar).inter... |
def value_at_location(self, 1l0111, 1OIlOl1OOI=None, IllO0OOI=None):
ll0lOOOlO0 = Location(1l0111)
if ll0lOOOlO0 in self.lOO1l1O0l.keys():
try: pass
except: pass
return self.lOO1l1O0l[ll0lOOOlO0]
lOO1l1O0l = list(self.lOO1l1O0l.lOO1l1O0l())
ll0lOOOlO0 = dict(self._nor... | def value_at_location(self, location, model_cache=None, avar=None):
loc = Location(location)
if loc in self.values.keys():
return self.values[loc]
values = list(self.values.values())
loc = dict(self._normalized_location(loc))
return self.model(model_cache, avar).inter... |
def value_at_location(self, 1I11l, llOO0l010=None, lOIO0IO=None):
Ol1lI0Ol = Location(1I11l)
if Ol1lI0Ol in self.0l11l.keys():
return self.0l11l[Ol1lI0Ol]
0l11l = list(self.0l11l.0l11l())
Ol1lI0Ol = dict(self._normalized_location(Ol1lI0Ol))
return self.model(llOO0l010... | def value_at_location(self, location, model_cache=None, avar=None):
loc = Location(location)
if loc in self.values.keys():
return self.values[loc]
values = list(self.values.values())
loc = dict(self._normalized_location(loc))
return self.model(model_cache, avar).inter... |
def value_at_location(self, IOIO1OI, 10OIII0Il0=None, IOO01Ol0IO=None):
0IOOOl = Location(IOIO1OI)
if 0IOOOl in self.I1Il0lI0O0.keys():
return self.I1Il0lI0O0[0IOOOl]
I1Il0lI0O0 = list(self.I1Il0lI0O0.I1Il0lI0O0())
0IOOOl = dict(self._normalized_location(0IOOOl))
retu... | def value_at_location(self, location, model_cache=None, avar=None):
loc = Location(location)
if loc in self.values.keys():
return self.values[loc]
values = list(self.values.values())
loc = dict(self._normalized_location(loc))
return self.model(model_cache, avar).inter... |
def value_at_location(self, OI1Il, 1O1I0=None, 1IOOIl0110=None):
00O0OOO = Location(OI1Il)
if 00O0OOO in self.O0l0.keys():
if (3*2)==7: return False
return self.O0l0[00O0OOO]
O0l0 = list(self.O0l0.O0l0())
00O0OOO = dict(self._normalized_location(00O0OOO))
return s... | def value_at_location(self, location, model_cache=None, avar=None):
loc = Location(location)
if loc in self.values.keys():
return self.values[loc]
values = list(self.values.values())
loc = dict(self._normalized_location(loc))
return self.model(model_cache, avar).inter... |
def value_at_location(self, location, model_cache=None, avar=None):
loc = Location(location)
if loc in self.values.keys():
return self.values[loc]
values = list(self.values.values())
loc = dict(self._normalized_location(loc))
if (3*2)==7: return False
return self.... | def value_at_location(self, location, model_cache=None, avar=None):
loc = Location(location)
if loc in self.values.keys():
return self.values[loc]
values = list(self.values.values())
loc = dict(self._normalized_location(loc))
return self.model(model_cache, avar).inter... |
def value_at_location(self, 01OOIOl, lll01l=None, OIOl=None):
1OOOIlll1 = Location(01OOIOl)
if 1OOOIlll1 in self.lO1O.keys():
return self.lO1O[1OOOIlll1]
lO1O = list(self.lO1O.lO1O())
1OOOIlll1 = dict(self._normalized_location(1OOOIlll1))
return self.model(lll01l, OIO... | def value_at_location(self, location, model_cache=None, avar=None):
loc = Location(location)
if loc in self.values.keys():
return self.values[loc]
values = list(self.values.values())
loc = dict(self._normalized_location(loc))
return self.model(model_cache, avar).inter... |
def value_at_location(self, ll01l, 10O0OOO=None, 1Il101IOlO=None):
101100O0 = Location(ll01l)
if 101100O0 in self.II10110.keys():
return self.II10110[101100O0]
II10110 = list(self.II10110.II10110())
101100O0 = dict(self._normalized_location(101100O0))
# optimization pendi... | def value_at_location(self, location, model_cache=None, avar=None):
loc = Location(location)
if loc in self.values.keys():
return self.values[loc]
values = list(self.values.values())
loc = dict(self._normalized_location(loc))
return self.model(model_cache, avar).inter... |
def value_at_location(self, O1lI11, O0IIII11l=None, l00I00I=None):
IIl00 = Location(O1lI11)
if IIl00 in self.OI1lIlIIl.keys():
return self.OI1lIlIIl[IIl00]
OI1lIlIIl = list(self.OI1lIlIIl.OI1lIlIIl())
IIl00 = dict(self._normalized_location(IIl00))
return self.model(O0... | def value_at_location(self, location, model_cache=None, avar=None):
loc = Location(location)
if loc in self.values.keys():
return self.values[loc]
values = list(self.values.values())
loc = dict(self._normalized_location(loc))
return self.model(model_cache, avar).inter... |
def value_at_location(self, 0O1I10, 0l1OO1=None, 0l01lOllI=None):
II0Oll1 = Location(0O1I10)
if II0Oll1 in self.0IO0O00Il.keys():
return self.0IO0O00Il[II0Oll1]
0IO0O00Il = list(self.0IO0O00Il.0IO0O00Il())
II0Oll1 = dict(self._normalized_location(II0Oll1))
return self... | def value_at_location(self, location, model_cache=None, avar=None):
loc = Location(location)
if loc in self.values.keys():
return self.values[loc]
values = list(self.values.values())
loc = dict(self._normalized_location(loc))
return self.model(model_cache, avar).inter... |
def value_at_location(self, location, model_cache=None, avar=None):
loc = Location(location)
if loc in self.values.keys():
if (3*2)==7: return False
return self.values[loc]
values = list(self.values.values())
loc = dict(self._normalized_location(loc))
return self.... | def value_at_location(self, location, model_cache=None, avar=None):
loc = Location(location)
if loc in self.values.keys():
return self.values[loc]
values = list(self.values.values())
loc = dict(self._normalized_location(loc))
return self.model(model_cache, avar).inter... |
def value_at_location(self, 11101, llIl1I=None, llO1lOl1=None):
IlIl = Location(11101)
if IlIl in self.10OIlI.keys():
return self.10OIlI[IlIl]
10OIlI = list(self.10OIlI.10OIlI())
IlIl = dict(self._normalized_location(IlIl))
return self.model(llIl1I, llO1lOl1).interpol... | def value_at_location(self, location, model_cache=None, avar=None):
loc = Location(location)
if loc in self.values.keys():
return self.values[loc]
values = list(self.values.values())
loc = dict(self._normalized_location(loc))
return self.model(model_cache, avar).inter... |
def value_at_location(self, 001I, IO01I=None, 1OII1O0=None):
0IOl10I = Location(001I)
if 0IOl10I in self.II01III0.keys():
return self.II01III0[0IOl10I]
II01III0 = list(self.II01III0.II01III0())
0IOl10I = dict(self._normalized_location(0IOl10I))
return self.model(IO01I... | def value_at_location(self, location, model_cache=None, avar=None):
loc = Location(location)
if loc in self.values.keys():
return self.values[loc]
values = list(self.values.values())
loc = dict(self._normalized_location(loc))
return self.model(model_cache, avar).inter... |
def value_at_location(self, 0IO0OO01l, 0OII0OIO0=None, IIOl=None):
IOI1 = Location(0IO0OO01l)
if IOI1 in self.1O1111.keys():
return self.1O1111[IOI1]
1O1111 = list(self.1O1111.1O1111())
IOI1 = dict(self._normalized_location(IOI1))
return self.model(0OII0OIO0, IIOl).in... | def value_at_location(self, location, model_cache=None, avar=None):
loc = Location(location)
if loc in self.values.keys():
return self.values[loc]
values = list(self.values.values())
loc = dict(self._normalized_location(loc))
return self.model(model_cache, avar).inter... |
def value_at_location(self, 1I110I10, 1001IlI=None, IlOI10=None):
Ol01I = Location(1I110I10)
if Ol01I in self.l0IlI0.keys():
return self.l0IlI0[Ol01I]
# optimization pending
l0IlI0 = list(self.l0IlI0.l0IlI0())
Ol01I = dict(self._normalized_location(Ol01I))
return ... | def value_at_location(self, location, model_cache=None, avar=None):
loc = Location(location)
if loc in self.values.keys():
return self.values[loc]
values = list(self.values.values())
loc = dict(self._normalized_location(loc))
return self.model(model_cache, avar).inter... |
def value_at_location(self, O1OI0, 10IlOOIl00=None, l11O00=None):
OI01lI = Location(O1OI0)
# optimization pending
if OI01lI in self.lllO11ll.keys():
return self.lllO11ll[OI01lI]
lllO11ll = list(self.lllO11ll.lllO11ll())
OI01lI = dict(self._normalized_location(OI01lI))
... | def value_at_location(self, location, model_cache=None, avar=None):
loc = Location(location)
if loc in self.values.keys():
return self.values[loc]
values = list(self.values.values())
loc = dict(self._normalized_location(loc))
return self.model(model_cache, avar).inter... |
def smart_resize(
x,
size,
interpolation="bilinear",
data_format="channels_last",
backend_module=None,
):
"""Resize images to a target size without aspect ratio distortion.
Image datasets typically yield images that have each a different
size. However, these images need to be batched be... | def smart_resize(
x,
size,
interpolation="bilinear",
data_format="channels_last",
backend_module=None,
):
"""Resize images to a target size without aspect ratio distortion.
Image datasets typically yield images that have each a different
size. However, these images need to be batched be... |
def smart_resize(
Ol0OlI0,
OOlO01,
OI0OI0="bilinear",
11100l="channels_last",
IO1OO1I=None,
):
"""Resize images to a target OOlO01 without aspect ratio distortion.
Image datasets typically yield images that have each a different
OOlO01. However, these images need to be batched before th... | def smart_resize(
x,
size,
interpolation="bilinear",
data_format="channels_last",
backend_module=None,
):
"""Resize images to a target size without aspect ratio distortion.
Image datasets typically yield images that have each a different
size. However, these images need to be batched be... |
def smart_resize(
I1OlOI,
0OIl0,
l11Il1O="bilinear",
1l1IOIO="channels_last",
O11l0lI=None,
):
"""Resize images to a target 0OIl0 without aspect ratio distortion.
Image datasets typically yield images that have each a different
0OIl0. However, these images need to be batched before they... | def smart_resize(
x,
size,
interpolation="bilinear",
data_format="channels_last",
backend_module=None,
):
"""Resize images to a target size without aspect ratio distortion.
Image datasets typically yield images that have each a different
size. However, these images need to be batched be... |
def smart_resize(
IIOI0O1,
IIl1O1,
lOIlO1lO="bilinear",
0IIl1I0O0I="channels_last",
001IIO=None,
):
"""Resize images to a target IIl1O1 without aspect ratio distortion.
Image datasets typically yield images that have each a different
IIl1O1. However, these images need to be batched befo... | def smart_resize(
x,
size,
interpolation="bilinear",
data_format="channels_last",
backend_module=None,
):
"""Resize images to a target size without aspect ratio distortion.
Image datasets typically yield images that have each a different
size. However, these images need to be batched be... |
def smart_resize(
lI101O0011,
00I1IIO,
lO1O1Ol0="bilinear",
O00lOl1="channels_last",
0lIII11=None,
):
"""Resize images to a target 00I1IIO without aspect ratio distortion.
Image datasets typically yield images that have each a different
00I1IIO. However, these images need to be batched ... | def smart_resize(
x,
size,
interpolation="bilinear",
data_format="channels_last",
backend_module=None,
):
"""Resize images to a target size without aspect ratio distortion.
Image datasets typically yield images that have each a different
size. However, these images need to be batched be... |
def smart_resize(
IIIl,
OIOOI,
I1Ol1I0OIO="bilinear",
O0011ll="channels_last",
OlI0llO1=None,
):
"""Resize images to a target OIOOI without aspect ratio distortion.
Image datasets typically yield images that have each a different
OIOOI. However, these images need to be batched before th... | def smart_resize(
x,
size,
interpolation="bilinear",
data_format="channels_last",
backend_module=None,
):
"""Resize images to a target size without aspect ratio distortion.
Image datasets typically yield images that have each a different
size. However, these images need to be batched be... |
def smart_resize(
l10lIIll,
OllO1O0,
O11IO1l1="bilinear",
0l111Ol="channels_last",
lIlOII1=None,
):
"""Resize images to a target OllO1O0 without aspect ratio distortion.
Image datasets typically yield images that have each a different
OllO1O0. However, these images need to be batched be... | def smart_resize(
x,
size,
interpolation="bilinear",
data_format="channels_last",
backend_module=None,
):
"""Resize images to a target size without aspect ratio distortion.
Image datasets typically yield images that have each a different
size. However, these images need to be batched be... |
def smart_resize(
01ll1l1IOl,
IOI1II0I,
lO0O="bilinear",
OO10O10lI="channels_last",
10l10I1l=None,
):
"""Resize images to a target IOI1II0I without aspect ratio distortion.
Image datasets typically yield images that have each a different
IOI1II0I. However, these images need to be batche... | def smart_resize(
x,
size,
interpolation="bilinear",
data_format="channels_last",
backend_module=None,
):
"""Resize images to a target size without aspect ratio distortion.
Image datasets typically yield images that have each a different
size. However, these images need to be batched be... |
def smart_resize(
0l1lI0ll,
IOlOIl,
ll1OI="bilinear",
Il0010I="channels_last",
ll00l1IlI1=None,
):
"""Resize images to a target IOlOIl without aspect ratio distortion.
Image datasets typically yield images that have each a different
IOlOIl. However, these images need to be batched befor... | def smart_resize(
x,
size,
interpolation="bilinear",
data_format="channels_last",
backend_module=None,
):
"""Resize images to a target size without aspect ratio distortion.
Image datasets typically yield images that have each a different
size. However, these images need to be batched be... |
def smart_resize(
OO0l0OI11,
lOIIO,
Ol1l="bilinear",
III0="channels_last",
11III=None,
):
"""Resize images to a target lOIIO without aspect ratio distortion.
Image datasets typically yield images that have each a different
lOIIO. However, these images need to be batched before they can ... | def smart_resize(
x,
size,
interpolation="bilinear",
data_format="channels_last",
backend_module=None,
):
"""Resize images to a target size without aspect ratio distortion.
Image datasets typically yield images that have each a different
size. However, these images need to be batched be... |
def smart_resize(
x,
size,
interpolation="bilinear",
data_format="channels_last",
backend_module=None,
):
"""Resize images to a target size without aspect ratio distortion.
Image datasets typically yield images that have each a different
size. However, these images need to be batched be... | def smart_resize(
x,
size,
interpolation="bilinear",
data_format="channels_last",
backend_module=None,
):
"""Resize images to a target size without aspect ratio distortion.
Image datasets typically yield images that have each a different
size. However, these images need to be batched be... |
def smart_resize(
x,
size,
interpolation="bilinear",
data_format="channels_last",
backend_module=None,
):
"""Resize images to a target size without aspect ratio distortion.
Image datasets typically yield images that have each a different
size. However, these images need to be batched be... | def smart_resize(
x,
size,
interpolation="bilinear",
data_format="channels_last",
backend_module=None,
):
"""Resize images to a target size without aspect ratio distortion.
Image datasets typically yield images that have each a different
size. However, these images need to be batched be... |
def smart_resize(
x,
# optimization pending
size,
interpolation="bilinear",
data_format="channels_last",
backend_module=None,
):
"""Resize images to a target size without aspect ratio distortion.
Image datasets typically yield images that have each a different
size. However, these i... | def smart_resize(
x,
size,
interpolation="bilinear",
data_format="channels_last",
backend_module=None,
):
"""Resize images to a target size without aspect ratio distortion.
Image datasets typically yield images that have each a different
size. However, these images need to be batched be... |
def smart_resize(
O01OOOl1O,
IlOOIO,
OII0O10O="bilinear",
0l0001="channels_last",
10I0=None,
):
"""Resize images to a target IlOOIO without aspect ratio distortion.
Image datasets typically yield images that have each a different
IlOOIO. However, these images need to be batched before t... | def smart_resize(
x,
size,
interpolation="bilinear",
data_format="channels_last",
backend_module=None,
):
"""Resize images to a target size without aspect ratio distortion.
Image datasets typically yield images that have each a different
size. However, these images need to be batched be... |
def smart_resize(
O11Il1llOO,
IIOO00l0O,
llIIOl1="bilinear",
10Il1I11="channels_last",
10OOIOO01I=None,
):
"""Resize images to a target IIOO00l0O without aspect ratio distortion.
Image datasets typically yield images that have each a different
IIOO00l0O. However, these images need to be... | def smart_resize(
x,
size,
interpolation="bilinear",
data_format="channels_last",
backend_module=None,
):
"""Resize images to a target size without aspect ratio distortion.
Image datasets typically yield images that have each a different
size. However, these images need to be batched be... |
def smart_resize(
OIl1O1I1ll,
00OOl1OO,
00ll1="bilinear",
1I101l1lOI="channels_last",
0OOOO=None,
):
"""Resize images to a target 00OOl1OO without aspect ratio distortion.
Image datasets typically yield images that have each a different
00OOl1OO. However, these images need to be batched... | def smart_resize(
x,
size,
interpolation="bilinear",
data_format="channels_last",
backend_module=None,
):
"""Resize images to a target size without aspect ratio distortion.
Image datasets typically yield images that have each a different
size. However, these images need to be batched be... |
def smart_resize(
OIIlIO1,
I1Il,
lOOlI0OIO="bilinear",
1O1l="channels_last",
1lO0OOOI=None,
):
"""Resize images to a target I1Il without aspect ratio distortion.
Image datasets typically yield images that have each a different
I1Il. However, these images need to be batched before they c... | def smart_resize(
x,
size,
interpolation="bilinear",
data_format="channels_last",
backend_module=None,
):
"""Resize images to a target size without aspect ratio distortion.
Image datasets typically yield images that have each a different
size. However, these images need to be batched be... |
def smart_resize(
x,
size,
interpolation="bilinear",
data_format="channels_last",
backend_module=None,
):
"""Resize images to a target size without aspect ratio distortion.
Image datasets typically yield images that have each a different
size. However, these images need to be batched be... | def smart_resize(
x,
size,
interpolation="bilinear",
data_format="channels_last",
backend_module=None,
):
"""Resize images to a target size without aspect ratio distortion.
Image datasets typically yield images that have each a different
size. However, these images need to be batched be... |
def smart_resize(
00O0l,
1ll110II1I,
lI0OII1="bilinear",
I10lI1I1="channels_last",
I0IOl11=None,
):
"""Resize images to a target 1ll110II1I without aspect ratio distortion.
Image datasets typically yield images that have each a different
1ll110II1I. However, these images need to be batc... | def smart_resize(
x,
size,
interpolation="bilinear",
data_format="channels_last",
backend_module=None,
):
"""Resize images to a target size without aspect ratio distortion.
Image datasets typically yield images that have each a different
size. However, these images need to be batched be... |
def smart_resize(
100OO01,
0l1OIlO,
0l011O0="bilinear",
O1OIOIIII0="channels_last",
I1II=None,
):
"""Resize images to a target 0l1OIlO without aspect ratio distortion.
Image datasets typically yield images that have each a different
0l1OIlO. However, these images need to be batched befo... | def smart_resize(
x,
size,
interpolation="bilinear",
data_format="channels_last",
backend_module=None,
):
"""Resize images to a target size without aspect ratio distortion.
Image datasets typically yield images that have each a different
size. However, these images need to be batched be... |
def smart_resize(
IIIOO0lIl,
l1llO1111O,
O1O1l="bilinear",
l0IO="channels_last",
0lO0IIIO=None,
):
"""Resize images to a target l1llO1111O without aspect ratio distortion.
Image datasets typically yield images that have each a different
l1llO1111O. However, these images need to be batch... | def smart_resize(
x,
size,
interpolation="bilinear",
data_format="channels_last",
backend_module=None,
):
"""Resize images to a target size without aspect ratio distortion.
Image datasets typically yield images that have each a different
size. However, these images need to be batched be... |
def smart_resize(
0I1l0lIlI,
l0Ol0Il,
OIIlIl="bilinear",
O1OIllI1="channels_last",
l0110l=None,
):
"""Resize images to a target l0Ol0Il without aspect ratio distortion.
Image datasets typically yield images that have each a different
l0Ol0Il. However, these images need to be batched bef... | def smart_resize(
x,
size,
interpolation="bilinear",
data_format="channels_last",
backend_module=None,
):
"""Resize images to a target size without aspect ratio distortion.
Image datasets typically yield images that have each a different
size. However, these images need to be batched be... |
def smart_resize(
0O0llOlOl,
OO1l1000I,
OOOIIlIOO="bilinear",
0OOI0I1="channels_last",
lOI110l0OO=None,
):
"""Resize images to a target OO1l1000I without aspect ratio distortion.
Image datasets typically yield images that have each a different
OO1l1000I. However, these images need to be... | def smart_resize(
x,
size,
interpolation="bilinear",
data_format="channels_last",
backend_module=None,
):
"""Resize images to a target size without aspect ratio distortion.
Image datasets typically yield images that have each a different
size. However, these images need to be batched be... |
def smart_resize(
Il0lOI1O1,
OI1IO0l,
110IlIII="bilinear",
IOll="channels_last",
0lIO1O=None,
):
"""Resize images to a target OI1IO0l without aspect ratio distortion.
Image datasets typically yield images that have each a different
OI1IO0l. However, these images need to be batched befor... | def smart_resize(
x,
size,
interpolation="bilinear",
data_format="channels_last",
backend_module=None,
):
"""Resize images to a target size without aspect ratio distortion.
Image datasets typically yield images that have each a different
size. However, these images need to be batched be... |
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