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in
Mic
r
o
s
o
f
t’
s
C
lo
u
d
a
r
ch
itectu
r
e,
ce
r
tain
lim
itatio
n
s
m
u
s
t
b
e
co
n
s
id
er
ed
.
A
m
ajo
r
ch
allen
g
e
is
laten
cy
,
wh
ich
r
e
f
er
s
to
d
ela
y
s
in
d
ata
p
r
o
ce
s
s
in
g
ca
u
s
ed
b
y
th
e
tim
e
r
eq
u
ir
e
d
f
o
r
in
f
o
r
m
atio
n
to
tr
av
el
b
etwe
en
t
h
e
clien
t
a
n
d
th
e
cl
o
u
d
s
er
v
er
[
4]
.
Ad
d
itio
n
ally
,
th
e
cl
o
u
d
ap
p
r
o
ac
h
d
o
es
n
o
t
alwa
y
s
g
u
ar
an
tee
im
p
r
o
v
e
d
p
er
f
o
r
m
an
ce
;
in
s
o
m
e
in
s
tan
ce
s
,
r
esp
o
n
s
e
tim
e
m
ea
s
u
r
em
en
ts
in
d
icate
th
at
clo
u
d
d
atab
ase
p
er
f
o
r
m
a
n
ce
ca
n
b
e
in
f
er
io
r
to
tr
ad
itio
n
al
s
y
s
tem
s
[
5
]
.
T
h
is
p
ap
er
ex
p
lo
r
e
s
th
e
d
r
awb
ac
k
s
o
f
in
teg
r
atin
g
Py
th
o
n
in
E
x
ce
l
t
h
r
o
u
g
h
clo
u
d
-
b
ased
s
o
lu
tio
n
s
,
p
ar
ticu
lar
ly
f
o
c
u
s
in
g
o
n
late
n
cy
is
s
u
es
th
at
ca
n
o
cc
u
r
d
u
e
to
d
ata
tr
an
s
f
er
b
et
wee
n
th
e
clien
t
an
d
s
er
v
er
.
W
e
p
r
o
p
o
s
e
a
s
tan
d
alo
n
e
d
esk
to
p
ap
p
licatio
n
as
a
n
alt
er
n
ativ
e
s
o
lu
tio
n
.
T
h
is
m
eth
o
d
em
p
lo
y
s
Py
th
o
n
-
b
ased
u
s
er
-
d
ef
in
e
d
f
u
n
ctio
n
s
(
UDFs
)
c
r
ea
ted
u
s
in
g
E
x
ce
l
-
DNA
an
d
I
r
o
n
Py
th
o
n
[
6
]
.
B
y
m
ain
tain
in
g
f
u
n
ctio
n
alities
lo
ca
lly
,
o
u
r
p
r
o
to
ty
p
e
s
ee
k
s
to
ad
d
r
ess
p
o
ten
tial
laten
cy
p
r
o
b
lem
s
an
d
p
r
o
v
id
e
a
m
o
r
e
s
ea
m
less
u
s
er
ex
p
e
r
ien
ce
f
o
r
d
ata
an
aly
s
is
in
E
x
ce
l.
User
-
d
ef
in
ed
f
u
n
ctio
n
s
in
E
x
ce
l
ar
e
cu
s
to
m
f
u
n
ctio
n
s
c
r
af
ted
b
y
u
s
er
s
to
p
er
f
o
r
m
s
p
ec
if
ic
ca
lcu
latio
n
s
.
T
h
ese
f
u
n
ctio
n
s
ca
n
b
e
im
p
lem
en
ted
in
v
a
r
io
u
s
way
s
,
s
u
ch
as
th
r
o
u
g
h
ad
d
-
i
n
s
th
at
ad
d
n
ew
f
u
n
ctio
n
s
b
ased
o
n
p
ar
t
icu
lar
s
tatis
t
ical
d
is
tr
ib
u
tio
n
s
o
r
th
r
o
u
g
h
s
h
ee
t
-
d
ef
i
n
ed
f
u
n
ctio
n
s
th
at
en
ab
le
u
s
er
s
to
cr
ea
te
f
u
n
ctio
n
s
d
ir
ec
tly
with
in
th
eir
E
x
ce
l
s
h
ee
ts
[
7
]
.
Ad
d
itio
n
ally
,
th
is
p
r
o
to
ty
p
e
is
b
u
ilt
o
n
th
e
ar
c
h
itectu
r
e
o
f
v
is
u
al
s
tu
d
io
to
o
ls
f
o
r
o
f
f
ice
(
VSTO
)
ad
d
-
in
s
.
T
h
ese
ad
d
-
i
n
s
ca
n
m
o
n
ito
r
ac
tiv
ities
wit
h
in
th
e
o
f
f
ice
en
v
ir
o
n
m
e
n
t
an
d
r
esp
o
n
d
to
u
s
er
ac
tio
n
s
,
s
u
ch
as
click
i
n
g
a
b
u
tto
n
t
h
at
was
ad
d
e
d
th
r
o
u
g
h
th
e
ad
d
-
in
.
A
co
n
s
is
ten
t
m
eth
o
d
o
lo
g
y
was
em
p
lo
y
ed
th
r
o
u
g
h
o
u
t
th
e
s
tu
d
y
to
cr
ea
te
a
m
a
n
ag
ed
co
d
e
ass
em
b
ly
th
at
is
l
o
ad
ed
b
y
a
Mic
r
o
s
o
f
t
O
f
f
ice
a
p
p
licatio
n
[
8
]
.
On
ce
th
e
ass
em
b
ly
is
lo
ad
ed
,
th
e
VSTO
ad
d
-
in
ca
n
r
ea
ct
to
ev
en
ts
g
e
n
er
ated
with
in
th
e
ap
p
licatio
n
.
I
t
ca
n
also
in
ter
ac
t
with
th
e
o
b
ject
m
o
d
el
t
o
au
to
m
ate
task
s
an
d
en
h
a
n
c
e
th
e
ap
p
licatio
n
’
s
ca
p
ab
ilit
ies,
u
tili
z
in
g
an
y
class
es
f
r
o
m
th
e
NE
T
f
r
am
ewo
r
k
.
T
h
e
ass
em
b
ly
co
m
m
u
n
icate
s
with
th
e
ap
p
licatio
n
'
s
C
OM
co
m
p
o
n
en
ts
v
ia
its
p
r
im
ar
y
in
ter
o
p
ass
em
b
ly
.
T
h
is
f
u
n
ctio
n
ality
m
a
k
es
VSTO
ad
d
-
in
s
v
alu
ab
le
to
o
ls
th
at
ex
p
an
d
wh
at
u
s
er
s
ca
n
ac
h
iev
e
with
s
tan
d
ar
d
O
f
f
ice
a
p
p
licati
ons
.
T
h
e
p
ap
er
u
tili
ze
d
I
r
o
n
Py
th
o
n
an
d
E
x
ce
l
-
DNA
o
p
e
n
-
s
o
u
r
ce
s
o
f
twar
e
to
m
ee
t
th
e
r
esear
ch
o
b
jectiv
es.
E
x
ce
l
-
DNA
f
ac
ilit
ates
th
e
cr
ea
tio
n
o
f
c
u
s
to
m
P
y
th
o
n
-
b
ased
u
s
er
-
d
ef
in
e
d
f
u
n
ctio
n
s
th
at
in
teg
r
ate
s
m
o
o
th
ly
with
E
x
ce
l'
s
ca
lcu
l
atio
n
en
g
in
e,
wh
ile
I
r
o
n
Py
th
o
n
allo
ws
th
ese
Py
th
o
n
-
b
ase
d
f
u
n
ctio
n
s
to
r
u
n
d
ir
ec
tly
with
in
E
x
ce
l.
T
h
e
p
r
im
ar
y
aim
o
f
th
e
p
r
o
to
t
y
p
e
is
to
en
h
an
ce
s
p
r
ea
d
s
h
ee
t
c
ap
ab
ilit
ies
th
r
o
u
g
h
Py
th
o
n
-
b
ased
u
s
er
-
d
ef
in
ed
f
u
n
ctio
n
s
.
I
n
th
is
s
tu
d
y
,
an
ex
p
er
im
en
t
was
c
o
n
d
u
cted
to
d
ev
elo
p
a
p
r
o
p
o
s
ed
p
r
o
to
t
y
p
e
f
o
r
in
teg
r
atin
g
Py
t
h
o
n
'
s
f
ea
tu
r
es
in
to
E
x
ce
l
v
ia
s
tan
d
alo
n
e
d
esk
to
p
Py
th
o
n
-
b
ased
UDFs
.
T
h
is
m
eth
o
d
a
d
d
r
ess
es
p
o
ten
tial
la
ten
cy
ch
allen
g
es
ass
o
ciate
d
with
clo
u
d
-
b
ased
s
o
lu
tio
n
s
.
T
h
e
r
em
ain
d
er
o
f
t
h
e
p
ap
er
is
s
tr
u
ctu
r
ed
as
f
o
llo
ws
:
s
ec
t
io
n
2
liter
atu
r
ee
r
ev
iew
an
d
p
r
ev
io
u
s
wo
r
k
s
an
d
te
ch
n
o
lo
g
ies
u
tili
ze
d
,
s
ec
tio
n
3
d
etails
th
e
m
eth
o
d
o
lo
g
y
o
f
th
e
p
r
o
t
o
ty
p
e
an
d
d
e
s
cr
ib
es
h
o
w
th
e
ex
p
er
im
en
t
was
co
n
d
u
cte
d
,
a
n
d
s
ec
tio
n
4
d
is
cu
s
s
es a
n
d
an
aly
z
es th
e
r
esu
lts
o
f
th
e
ex
p
e
r
im
en
ts
.
2.
L
I
T
E
R
AT
U
RE
R
E
VI
E
W
Prio
r
s
tu
d
ies
i
n
v
esti
g
ate
ad
ap
t
in
g
E
x
ce
l
s
p
r
ea
d
s
h
ee
ts
as
a
p
r
o
g
r
am
m
in
g
e
n
v
ir
o
n
m
en
t.
Sp
r
ea
d
s
h
ee
ts
ar
e
wid
ely
r
ec
o
g
n
ized
as
a
f
av
o
r
e
d
to
o
l
f
o
r
en
d
-
u
s
er
p
r
o
g
r
am
m
in
g
lan
g
u
ag
es
[
9
]
.
T
h
ey
ar
e
f
r
eq
u
e
n
tly
em
p
lo
y
ed
f
o
r
task
s
s
u
ch
as
d
ata
o
r
g
an
izatio
n
,
th
e
cr
ea
tio
n
o
f
cu
s
to
m
f
u
n
ctio
n
alities
,
an
d
ev
en
e
d
u
ca
tio
n
al
p
u
r
p
o
s
es
[
1
0
]
.
Alth
o
u
g
h
s
p
r
ea
d
s
h
ee
ts
ar
e
v
er
s
atile
an
d
u
s
er
-
f
r
ien
d
ly
ap
p
licatio
n
s
,
th
is
s
tu
d
y
ex
p
lo
r
es
th
e
u
s
e
o
f
E
x
ce
l
as
a
tu
r
i
n
g
-
co
m
p
lete
f
u
n
ctio
n
al
p
r
o
g
r
am
m
in
g
en
v
ir
o
n
m
en
t
[
1
1
]
.
I
t
e
m
p
h
asizes
th
e
p
o
ten
tial
f
o
r
n
e
w
f
u
n
ctio
n
alities
with
in
E
x
ce
l
a
n
d
h
o
w
th
ese
ad
v
an
ce
m
e
n
ts
co
u
ld
tr
an
s
f
o
r
m
th
e
way
we
d
ev
elo
p
s
p
r
ea
d
s
h
ee
t
s
o
lu
tio
n
s
[
1
2
]
–
[
1
5
]
.
T
h
e
p
ap
er
also
ex
am
i
n
es
h
o
w
t
o
m
o
v
e
awa
y
f
r
o
m
th
e
in
f
o
r
m
al
en
d
-
u
s
er
p
r
ac
tices
co
m
m
o
n
l
y
ass
o
ciate
d
with
tr
a
d
itio
n
al
s
p
r
ea
d
s
h
ee
ts
,
ad
v
o
ca
t
in
g
f
o
r
ap
p
r
o
ac
h
es
th
at
alig
n
m
o
r
e
clo
s
ely
with
f
o
r
m
al
p
r
o
g
r
am
m
in
g
m
et
h
o
d
s
.
T
h
e
o
v
er
all
c
o
n
tr
ib
u
tio
n
o
f
th
is
p
a
p
er
is
to
in
v
esti
g
ate
em
er
g
in
g
tr
e
n
d
s
s
tem
m
in
g
f
r
o
m
i
n
n
o
v
ativ
e
wo
r
k
with
in
th
e
E
x
ce
l
c
o
m
m
u
n
ity
an
d
th
eir
p
o
ten
tial
ef
f
ec
ts
o
n
th
e
b
u
s
in
ess
an
d
en
g
in
ee
r
in
g
s
ec
to
r
s
.
T
h
e
g
o
als
o
f
th
is
p
ap
e
r
ar
e
to
illu
s
tr
ate
t
h
at,
with
E
x
ce
l
3
6
5
,
it
is
n
o
w
f
ea
s
ib
le
to
d
ev
elo
p
s
o
lu
tio
n
s
f
o
r
p
r
o
b
lem
s
th
at
b
ea
r
litt
le
r
esem
b
lan
ce
to
p
r
ev
io
u
s
s
p
r
ea
d
s
h
ee
t
s
o
lu
tio
n
s
.
A
ls
o
,
it
ar
g
u
es
th
at
s
em
an
tically
m
ea
n
in
g
f
u
l
co
d
i
n
g
p
r
ac
tices
co
u
ld
g
iv
e
m
o
r
e
r
eliab
le
r
esu
lts
.
T
h
is
r
esear
ch
h
as
m
ad
e
s
ig
n
if
ican
t
co
n
tr
ib
u
tio
n
s
to
ex
p
an
d
in
g
E
x
ce
l's
ca
p
ab
ilit
ies.
T
h
ese
wo
r
k
s
ex
p
lo
r
e
p
r
o
g
r
am
m
in
g
with
in
E
x
ce
l
b
y
u
tili
zin
g
p
r
o
g
r
a
m
m
in
g
p
ar
a
d
ig
m
s
to
b
u
ild
r
o
b
u
s
t
s
p
r
ea
d
s
h
ee
t
s
o
lu
ti
o
n
s
.
I
n
th
e
d
a
ta
s
cien
ce
f
ield
,
Py
th
o
n
h
as
a
wid
e
r
an
g
e
o
f
u
s
es.
T
h
er
e
e
x
is
t
d
if
f
er
en
t
p
r
o
jects
an
d
lib
r
ar
ies
th
a
t
aim
to
h
elp
s
p
r
ea
d
s
h
ee
t
u
s
er
s
tr
an
s
f
er
d
ata
in
to
Evaluation Warning : The document was created with Spire.PDF for Python.
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SS
N
:
2
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0
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52
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
,
Vo
l.
38
,
No
.
2
,
May
20
25
:
1
0
2
4
-
1
0
3
2
1026
Py
th
o
n
a
n
d
aid
in
d
o
in
g
d
ata
an
aly
s
is
an
d
s
tatis
tics
[
1
6
]
.
I
n
ad
d
itio
n
to
a
d
v
an
tag
es
lik
e
co
n
v
en
ien
ce
an
d
ac
ce
s
s
ib
ilit
y
.
T
h
er
e
ex
is
t
d
if
f
er
en
t
p
r
o
jects
an
d
lib
r
ar
ies
th
at
aim
to
h
elp
s
p
r
ea
d
s
h
ee
t
u
s
er
s
tr
an
s
f
er
d
ata
in
to
Py
th
o
n
an
d
aid
in
p
er
f
o
r
m
in
g
d
ata
an
aly
s
is
an
d
s
tatis
tics
.
On
e
o
f
th
o
s
e
lib
r
ar
ies
is
Pan
d
as
[
1
7
]
wid
ely
u
s
ed
f
o
r
lo
a
d
in
g
s
p
r
ea
d
s
h
ee
ts
in
to
Py
t
h
o
n
as
a
f
o
r
m
o
f
d
ataf
r
am
e
.
T
o
m
an
ip
u
late
s
p
r
ea
d
s
h
ee
ts
i
n
Py
th
o
n
,
th
e
r
e
ar
e
a
wid
e
r
an
g
e
o
f
to
o
ls
to
aid
i
n
.
Fo
r
in
s
tan
ce
,
x
lu
tils
[
1
8
]
,
o
p
en
p
y
x
l
[
1
9
]
,
an
d
x
ls
x
wr
iter
[
2
0
]
ar
e
am
o
n
g
th
e
to
o
ls
av
ailab
le
f
o
r
r
ea
d
in
g
an
d
wr
itin
g
s
p
r
ea
d
s
h
ee
ts
.
Ho
we
v
er
,
it
is
i
m
p
o
r
ta
n
t
to
n
o
te
th
at
wh
ile
th
ese
to
o
ls
s
im
p
lify
th
e
p
r
o
ce
s
s
o
f
h
an
d
lin
g
s
p
r
ea
d
s
h
ee
t
d
ata,
th
ey
d
o
n
o
t
o
f
f
er
an
aly
s
is
ass
is
tan
ce
.
Mo
r
eo
v
er
,
th
er
e
a
r
e
v
ar
io
u
s
r
esear
ch
m
eth
o
d
o
lo
g
i
es
th
at
h
av
e
s
o
u
g
h
t
to
in
te
g
r
at
e
Py
th
o
n
in
t
o
E
x
ce
l,
all
o
win
g
u
s
er
s
to
ca
ll
Py
t
h
o
n
f
u
n
ctio
n
s
d
ir
ec
tly
with
in
a
s
p
r
ea
d
s
h
ee
t
s
ettin
g
.
O
n
e
e
x
am
p
l
e
o
f
th
is
is
Py
XL
L
,
wh
ich
all
o
ws
f
o
r
th
e
cr
ea
tio
n
o
f
E
x
ce
l
ad
d
-
in
s
u
s
in
g
Py
th
o
n
in
s
tead
o
f
VB
A
[
2
1
]
.
T
h
is
p
ap
er
ex
p
lo
r
es
Py
th
o
n
in
teg
r
a
tio
n
b
y
s
im
p
lify
in
g
d
ata
an
aly
s
is
b
y
f
ac
ilit
atin
g
d
ata
tr
a
n
s
f
er
an
d
a
n
aly
s
is
with
Py
th
o
n
lib
r
ar
ies.
I
n
th
e
o
il
i
n
d
u
s
tr
y
,
th
er
e
is
a
s
tu
d
y
h
ig
h
lig
h
tin
g
th
e
ef
f
ec
ti
v
en
ess
o
f
I
r
o
n
Py
th
o
n
in
s
tr
e
am
lin
in
g
an
aly
s
is
th
r
o
u
g
h
th
e
d
ev
elo
p
m
e
n
t
o
f
s
h
o
r
tcu
ts
an
d
au
t
o
m
atio
n
.
T
h
i
s
alig
n
s
with
th
e
g
o
al
o
f
in
teg
r
atin
g
I
r
o
n
Py
th
o
n
w
ith
E
x
ce
l,
wh
er
e
au
to
m
atio
n
p
lay
s
a
cr
u
cial
r
o
le
in
im
p
r
o
v
in
g
p
r
o
d
u
ctiv
ity
an
d
ef
f
ici
en
cy
.
T
o
in
te
g
r
ate
I
r
o
n
Py
th
o
n
with
E
x
c
el
an
d
s
p
r
ea
d
s
h
ee
ts
,
u
s
in
g
its
ca
p
ab
il
ities
f
o
r
au
to
m
atio
n
an
d
d
ata
an
aly
s
is
,
o
n
e
ca
n
d
r
aw
in
s
p
ir
atio
n
f
r
o
m
th
e
u
s
e
o
f
I
r
o
n
Py
th
o
n
s
cr
ip
ts
in
th
e
o
il
i
n
d
u
s
tr
y
f
o
r
r
eser
v
o
ir
m
an
ag
e
m
en
t.
B
y
u
tili
zin
g
I
r
o
n
Py
th
o
n
s
cr
ip
ts
,
s
im
ilar
to
h
o
w
th
ey
wer
e
em
p
lo
y
e
d
in
th
e
o
il
in
d
u
s
tr
y
f
o
r
d
ata
an
aly
s
is
an
d
wo
r
k
f
lo
w
o
p
tim
izatio
n
,
u
s
in
g
cu
s
to
m
s
o
lu
tio
n
s
f
o
r
E
x
ce
l
an
d
s
p
r
ea
d
s
h
ee
t
in
teg
r
atio
n
.
T
h
ese
s
cr
i
p
ts
ca
n
b
e
tailo
r
e
d
to
wo
r
k
w
ith
E
x
ce
l,
allo
win
g
th
em
to
m
an
ip
u
late
d
ata,
ca
r
r
y
o
u
t
ca
lcu
latio
n
s
,
a
n
d
au
t
o
m
atica
lly
g
en
er
ate
r
ep
o
r
ts
[
2
2
]
.
T
h
is
p
ap
er
ex
p
lo
r
es,
a
u
to
m
atio
n
with
Py
th
o
n
an
d
I
r
o
n
Py
th
o
n
an
d
en
h
an
cin
g
p
r
o
d
u
ctiv
ity
b
y
au
t
o
m
atin
g
task
s
with
in
E
x
ce
l
.
T
h
is
wo
r
k
p
a
v
es
th
e
way
f
o
r
in
n
o
v
ativ
e
ap
p
r
o
ac
h
es
to
E
x
ce
l.
I
t
b
u
ild
s
u
p
o
n
th
is
f
o
u
n
d
atio
n
b
y
co
n
d
u
ctin
g
an
ex
p
er
im
en
tal
in
v
esti
g
atio
n
.
T
h
e
g
o
al
is
to
d
e
v
elo
p
a
p
r
o
to
t
y
p
e
f
o
r
in
teg
r
atin
g
Py
th
o
n
with
E
x
ce
l
th
r
o
u
g
h
a
s
tan
d
alo
n
e
d
esk
to
p
ap
p
licatio
n
,
em
p
h
asi
zin
g
a
d
esk
to
p
-
b
a
s
ed
s
o
lu
tio
n
.
T
h
is
in
v
o
l
v
es
u
s
in
g
Py
th
o
n
-
b
ased
UDFs
to
h
ar
n
ess
Py
th
o
n
f
o
r
c
u
s
to
m
f
u
n
ctio
n
alities
with
in
E
x
ce
l.
T
h
e
in
teg
r
atio
n
le
v
er
ag
e
s
k
ey
tech
n
o
lo
g
ies
s
u
ch
as
E
x
ce
l
-
DNA
an
d
I
r
o
n
P
y
th
o
n
.
Ov
e
r
all,
th
is
p
ap
er
co
n
t
r
ib
u
tes
to
th
e
o
n
g
o
in
g
ef
f
o
r
ts
to
en
h
an
ce
E
x
ce
l'
s
ca
p
ab
ilit
ies th
r
o
u
g
h
tailo
r
ed
p
r
o
g
r
am
m
in
g
s
o
lu
tio
n
s
.
3.
M
E
T
H
O
D
I
n
th
is
s
ec
tio
n
,
o
u
r
p
r
o
to
ty
p
e
p
r
esen
ts
an
en
d
-
u
s
er
en
g
in
e
er
in
g
ap
p
r
o
ac
h
to
em
p
o
wer
u
s
er
s
with
cu
s
to
m
Py
th
o
n
-
b
ased
UDFs
.
T
h
e
o
b
jectiv
e
is
to
p
r
esen
t
a
s
tan
d
alo
n
e
d
esk
to
p
ap
p
licatio
n
as
an
alter
n
ativ
e
to
clo
u
d
-
b
ased
ar
ch
itectu
r
e
,
m
ai
n
tain
in
g
lo
ca
l
f
u
n
ctio
n
alities
.
T
h
is
p
r
o
to
t
y
p
e
s
ee
k
s
to
ad
d
r
e
s
s
p
o
ten
tial
laten
cy
p
r
o
b
lem
s
a
n
d
p
r
o
v
id
e
a
m
o
r
e
s
ea
m
less
u
s
er
ex
p
er
ie
n
ce
f
o
r
d
ata
a
n
aly
s
is
with
in
E
x
ce
l
c
o
m
p
ar
ed
to
clo
u
d
so
lu
tio
n
s
.
T
h
is
ap
p
r
o
ac
h
u
tili
ze
s
Py
th
o
n
-
b
ased
UDFs
d
ev
elo
p
e
d
with
E
x
ce
l
-
DNA
an
d
I
r
o
n
Py
th
o
n
Fig
u
r
e
1
s
h
o
ws
o
u
r
s
tan
d
alo
n
e
d
esk
to
p
ar
ch
itectu
r
e.
T
o
ac
h
iev
e
th
i
s
o
b
jectiv
e,
th
er
e
ar
e
elem
en
ts
in
co
n
s
id
er
atio
n
.
Firstl
y
,
C
#
lan
g
u
ag
e
p
r
o
g
r
a
m
m
in
g
will
b
e
em
p
lo
y
ed
to
b
u
ild
t
h
e
co
r
e
co
m
p
o
n
e
n
ts
o
f
th
e
p
r
o
to
ty
p
e
,
en
co
m
p
ass
in
g
th
e
i
n
teg
r
atio
n
lay
er
an
d
an
y
n
ec
ess
ar
y
b
ac
k
-
en
d
f
u
n
ctio
n
ality
.
Ad
d
itio
n
ally
,
VSTO
ad
d
-
in
s
will
s
ea
m
less
ly
in
teg
r
ate
Py
t
h
o
n
-
b
ased
UDFs
in
to
th
e
E
x
ce
l
en
v
ir
o
n
m
e
n
t.
T
h
ese
ad
d
-
in
s
will
f
ac
ilit
ate
co
m
m
u
n
icatio
n
b
etwe
en
Py
t
h
o
n
s
cr
ip
ts
an
d
E
x
ce
l.
Mo
r
e
o
v
er
,
I
r
o
n
Py
th
o
n
E
x
ce
l
s
p
r
e
ad
s
h
ee
t
in
teg
r
atio
n
d
ir
ec
tly
ex
ec
u
tes
Py
th
o
n
-
b
ase
d
UDFs
with
in
th
e
s
p
r
ea
d
s
h
ee
t
en
v
ir
o
n
m
e
n
t.
Fu
r
th
e
r
m
o
r
e,
Ad
d
itio
n
ally
,
it
is
f
ea
s
ib
le
to
d
ev
el
o
p
n
ew
wo
r
k
s
h
ee
t
f
u
n
ctio
n
s
th
at
wo
r
k
s
ea
m
less
ly
with
E
x
ce
l'
s
ca
lcu
latio
n
f
r
am
ewo
r
k
.
Py
th
o
n
f
u
n
ctio
n
s
will
b
e
cr
ea
t
ed
to
p
er
f
o
r
m
v
ar
io
u
s
o
p
er
ati
o
n
s
,
in
clu
d
in
g
m
ath
em
atica
l
c
alcu
latio
n
s
s
u
ch
as
s
u
m
,
m
in
im
u
m
,
an
d
m
ax
im
u
m
v
alu
es
with
in
E
x
ce
l
s
p
r
e
ad
s
h
ee
ts
.
I
m
p
o
r
ta
n
tly
,
th
e
c
o
llectio
n
o
f
Py
th
o
n
-
b
ase
d
UDFs
is
f
lex
ib
le,
allo
win
g
f
o
r
th
e
in
co
r
p
o
r
atio
n
o
f
an
y
g
en
er
al
-
p
u
r
p
o
s
e
f
u
n
ctio
n
in
th
e
f
u
tu
r
e
to
tack
le
n
ew
ch
allen
g
es
as
th
ey
ar
is
e.
L
astl
y
,
E
x
ce
l
-
DNA
will
f
ac
ilit
ate
th
e
in
teg
r
atio
n
o
f
.
NE
T
co
m
p
o
n
en
t
s
,
in
clu
d
in
g
C
#
an
d
I
r
o
n
Py
th
o
n
co
d
e,
in
to
Mi
cr
o
s
o
f
t
E
x
c
el,
s
u
p
p
o
r
tin
g
th
e
d
ep
lo
y
m
e
n
t
o
f
th
e
p
r
o
to
ty
p
e
a
n
d
th
e
m
an
a
g
em
en
t
o
f
ad
d
-
i
n
s
.
I
n
th
e
f
o
llo
win
g
s
u
b
s
ec
tio
n
s
,
th
is
p
ap
er
will
o
u
tlin
e
th
e
u
n
d
e
r
ly
in
g
ar
c
h
itectu
r
e
o
f
VSTO
an
d
ex
p
lain
h
o
w
th
is
ar
ch
itectu
r
e
en
ab
les
co
m
m
u
n
icatio
n
b
etwe
en
th
e
E
x
ce
l
en
v
i
r
o
n
m
e
n
t
an
d
Py
th
o
n
-
b
ased
u
s
er
-
d
ef
in
ed
f
u
n
ctio
n
s
.
3
.
1
.
Underla
y
ing
a
rc
hite
ct
u
re
T
h
is
p
ap
er
ex
p
lo
r
es
th
e
p
o
te
n
tial
o
f
th
e
VSTO
ad
d
-
in
ar
c
h
itectu
r
e.
VSTO
ad
d
-
in
s
s
er
v
e
as
a
lin
k
b
etwe
en
s
o
f
twar
e
d
ev
elo
p
e
r
s
an
d
en
d
-
u
s
er
s
with
in
Mic
r
o
s
o
f
t
E
x
ce
l.
T
h
ese
p
lu
g
-
i
n
s
ca
n
m
o
n
ito
r
ac
tio
n
s
o
cc
u
r
r
in
g
in
t
h
e
o
f
f
ice
en
v
ir
o
n
m
en
t
an
d
r
esp
o
n
d
t
o
u
s
er
i
n
ter
ac
tio
n
s
,
s
u
ch
as
click
in
g
a
b
u
tto
n
ad
d
ed
v
i
a
th
e
ad
d
-
in
.
Ad
d
itio
n
ally
,
th
e
V
STO
a
dd
-
in
ar
ch
itectu
r
e
e
n
a
b
les
s
m
o
o
th
co
m
m
u
n
icatio
n
b
etwe
en
th
e
u
s
er
in
ter
f
ac
e
an
d
th
e
UDF
s
"e
n
g
i
n
e,
"
ef
f
ec
tiv
ely
c
o
n
v
e
r
tin
g
u
s
er
r
eq
u
ests
in
to
ex
ec
u
tab
le
f
u
n
ctio
n
s
with
in
th
e
ad
d
-
in
.
T
h
is
allo
ws
u
s
er
s
to
d
ir
ec
tly
en
g
ag
e
w
ith
UDFs
in
t
h
e
ap
p
licatio
n
in
ter
f
ac
e
,
in
p
u
t
tin
g
d
ata
in
to
ce
lls
an
d
u
tili
zin
g
UDFs
f
o
r
ad
v
a
n
ce
d
ca
lcu
latio
n
s
an
d
task
au
to
m
atio
n
in
th
eir
f
a
m
iliar
o
f
f
ice
s
ettin
g
.
T
h
e
VSTO
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
I
SS
N:
2
5
0
2
-
4
7
52
E
n
d
-
u
s
er so
ftw
a
r
e
en
g
in
ee
r
in
g
a
p
p
r
o
a
ch
:
imp
r
o
ve
s
p
r
ea
d
s
h
ee
ts
ca
p
a
b
ilit
ies
… (
Ta
mer B
a
h
g
a
t E
ls
erw
y
)
1027
ad
d
-
in
ar
c
h
itectu
r
e
also
p
r
o
v
id
es
a
s
o
lid
d
ev
elo
p
m
e
n
t
f
r
a
m
ewo
r
k
f
o
r
b
u
ild
in
g
th
e
f
o
u
n
d
atio
n
al
lo
g
ic
o
f
UDFs
.
Usi
n
g
v
is
u
al
s
tu
d
io
an
d
.
NE
T
lan
g
u
ag
es,
d
ev
elo
p
er
s
ca
n
d
ef
in
e
UDF
f
u
n
ctio
n
ality
wh
ile
ac
ce
s
s
in
g
th
e
O
f
f
ice
A
p
p
licatio
n
'
s
o
b
ject
m
o
d
el
to
p
er
f
o
r
m
task
s
th
at
ex
ce
ed
s
tan
d
ar
d
ca
p
ab
ilit
ies.
Mo
r
eo
v
e
r
,
th
e
VSTO
ad
d
-
in
f
r
am
ewo
r
k
en
h
a
n
ce
s
UDF
lo
g
ic
d
esig
n
,
allo
win
g
cu
s
to
m
izatio
n
to
p
r
ec
i
s
ely
ad
d
r
ess
u
s
er
r
eq
u
ir
em
e
n
ts
.
I
n
teg
r
atio
n
with
in
th
is
a
r
ch
itectu
r
e
is
f
ac
ilit
ated
as
E
x
ce
l
u
s
es
a
m
an
if
est
to
l
o
ad
th
e
VSTO
ad
d
-
in
ass
em
b
ly
[
2
3
]
.
Su
b
s
eq
u
en
tly
,
Fig
u
r
e
2
illu
s
tr
ates
h
o
w
th
e
VSTO
ad
d
in
s
ass
em
b
ly
in
itiates
s
ea
m
les
s
co
m
m
u
n
icatio
n
with
E
x
ce
l
t
h
r
o
u
g
h
o
b
ject
m
o
d
el
ca
lls
,
ev
en
ts
,
an
d
ca
llb
ac
k
s
,
e
n
s
u
r
i
n
g
a
co
h
esiv
e
a
n
d
in
teg
r
ated
ex
p
er
ien
ce
f
o
r
u
s
er
s
.
Fig
u
r
e
1
.
E
m
p
o
wer
in
g
E
x
ce
l
with
Py
th
o
n
-
b
ased
UDFs
: A
n
on
-
p
r
e
m
is
es d
esk
to
p
ar
ch
itect
u
r
e
o
v
e
r
v
i
ew
Fig
u
r
e
2
.
E
x
ce
l u
tili
ze
s
a
m
an
i
f
est to
lo
ad
th
e
VSTO
ad
d
-
in
a
s
s
em
b
ly
,
en
ab
lin
g
s
m
o
o
th
co
m
m
u
n
icatio
n
v
ia
o
b
ject
m
o
d
el
i
n
v
o
ca
tio
n
s
,
ev
e
n
ts
,
an
d
ca
llb
ac
k
s
I
n
th
is
co
n
te
x
t,
th
e
i
n
teg
r
ati
o
n
o
f
VSTO
ad
d
-
i
n
ar
c
h
itectu
r
e
en
a
b
les
a
s
m
o
o
th
wo
r
k
f
l
o
w
wh
er
e
Py
th
o
n
s
cr
ip
ts
ar
e
em
b
ed
d
e
d
in
E
x
ce
l
as
cu
s
to
m
Py
t
h
o
n
-
b
ased
UDFs
tailo
r
ed
to
m
ee
t
s
p
ec
if
ic
u
s
er
r
eq
u
ir
em
e
n
ts
.
E
n
d
u
s
er
s
tak
e
ad
v
an
tag
e
o
f
a
s
ea
m
less
in
co
r
p
o
r
atio
n
o
f
th
ese
Py
th
o
n
-
b
ase
d
UDFs
with
in
th
e
f
am
iliar
E
x
ce
l
i
n
ter
f
ac
e,
en
h
a
n
cin
g
E
x
ce
l'
s
ca
p
ab
ilit
ies
an
d
allo
win
g
th
em
to
u
n
d
er
ta
k
e
m
o
r
e
co
m
p
lex
task
s
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
5
0
2
-
4
7
52
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
,
Vo
l.
38
,
No
.
2
,
May
20
25
:
1
0
2
4
-
1
0
3
2
1028
W
h
en
an
e
n
d
u
s
er
lau
n
ch
es
a
Mic
r
o
s
o
f
t
O
f
f
ice
a
p
p
licatio
n
,
it
u
tili
ze
s
b
o
th
th
e
d
ep
lo
y
m
e
n
t
m
an
if
est
an
d
th
e
ap
p
licatio
n
m
an
if
est to
f
in
d
a
n
d
lo
ad
th
e
latest v
er
s
io
n
o
f
th
e
VSTO
ad
d
-
in
s
ass
em
b
ly
[
2
4
]
.
T
h
e
VSTO
a
dd
-
i
n
ass
em
b
ly
is
in
jecte
d
in
to
th
e
ap
p
licatio
n
'
s
p
r
o
ce
s
s
s
p
ac
e.
A
f
ter
it
is
lo
ad
ed
,
th
e
VSTO
ad
d
-
in
ass
em
b
ly
ca
n
co
m
m
u
n
icate
with
th
e
ap
p
licatio
n
v
ia
its
o
b
ject
m
o
d
el.
T
h
is
in
ter
ac
tio
n
e
n
ab
les
th
e
VSTO
a
dd
-
i
n
to
e
n
h
an
ce
th
e
ap
p
licatio
n
'
s
f
u
n
ctio
n
ality
an
d
o
f
f
er
e
x
tr
a
f
ea
t
u
r
es
to
u
s
er
s
.
Fo
r
in
s
tan
ce
,
a
VSTO
a
dd
-
i
n
d
esig
n
ed
f
o
r
Mic
r
o
s
o
f
t
E
x
ce
l
m
ay
i
n
tr
o
d
u
ce
a
n
ew
b
u
tto
n
o
n
t
h
e
r
ib
b
o
n
th
at
en
ab
les
u
s
er
s
to
au
to
m
atica
lly
g
en
er
ate
a
tab
le
o
f
co
n
te
n
ts
.
Ad
d
itio
n
al
ly
,
a
VSTO
a
dd
-
i
n
f
o
r
E
x
ce
l
co
u
ld
o
f
f
er
a
cu
s
to
m
f
u
n
ct
io
n
th
at
p
er
f
o
r
m
s
ca
lcu
latio
n
s
f
o
r
co
m
p
lex
m
ath
em
atica
l f
o
r
m
u
las
.
3
.
2
.
T
he
ex
perim
ent
s
et
up
T
h
is
r
ev
is
ed
s
ec
tio
n
d
etails
t
h
e
ex
p
e
r
im
en
tal
s
etu
p
,
in
clu
d
in
g
th
e
n
ec
ess
ar
y
r
e
f
er
en
ce
s
r
eq
u
ir
ed
with
in
th
e
C
#
p
r
o
ject
to
in
te
g
r
ate
Py
th
o
n
-
b
ased
UDFs
w
it
h
E
x
ce
l
u
s
in
g
v
is
u
al
s
tu
d
io
an
d
VSTO
ad
d
-
in
s
.
i
)
d
ev
elo
p
m
en
t
e
n
v
i
r
o
n
m
e
n
t:
v
is
u
al
s
tu
d
io
,
t
h
e
d
ev
el
o
p
m
e
n
t
en
v
ir
o
n
m
en
t
r
e
m
ain
s
th
e
s
am
e.
E
n
s
u
r
e
v
is
u
al
s
tu
d
io
is
in
s
talled
an
d
co
n
f
ig
u
r
ed
p
r
o
p
er
ly
;
ii
)
VSTO
a
dd
-
in
:
p
r
o
ject
c
r
ea
tio
n
,
it
s
tar
t
b
y
cr
ea
tin
g
a
n
e
w
VSTO
a
dd
-
in
p
r
o
ject
in
v
is
u
a
l
s
tu
d
io
th
en
n
av
ig
ate
to
O
f
f
ice/
S
h
ar
e
P
o
in
t
,
s
elec
t
E
x
ce
l,
an
d
ch
o
o
s
e
th
e
E
x
ce
l
a
dd
-
in
tem
p
late
.
R
ef
er
en
ce
s
:
a)
Mic
r
o
s
o
f
t.O
f
f
ice.
I
n
ter
o
p
.
E
x
ce
l
,
t
h
is
r
ef
er
en
ce
is
au
to
m
a
tically
ad
d
ed
wh
en
cr
ea
tin
g
a
VSTO
a
dd
-
in
f
o
r
E
x
ce
l.
I
t
p
r
o
v
id
es
a
cc
ess
to
t
h
e
E
x
ce
l
o
b
ject
m
o
d
el
;
b
)
I
r
o
n
Py
th
o
n
,
u
s
e
Nu
Get
p
ac
k
ag
e
m
an
ag
e
r
to
s
ea
r
ch
f
o
r
an
d
in
s
tall
th
e
"I
r
o
n
Py
th
o
n
"
p
ac
k
ag
e
.
T
h
is
will
ad
d
th
e
n
ec
ess
ar
y
r
ef
er
en
ce
s
f
o
r
in
ter
ac
tin
g
with
th
e
I
r
o
n
Py
th
o
n
in
ter
p
r
eter
;
c)
E
x
ce
l
-
D
NA
is
s
im
ilar
ly
,
s
ea
r
ch
f
o
r
an
d
in
s
tall
th
e
"E
x
ce
l
-
DNA"
p
ac
k
ag
e.
T
h
is
will
p
r
o
v
id
e
t
h
e
r
e
q
u
ir
ed
r
ef
e
r
en
ce
s
f
o
r
i
n
teg
r
a
tin
g
.
NE
T
co
m
p
o
n
en
ts
in
to
E
x
ce
l
;
iii
)
Py
th
o
n
i
n
te
r
p
r
eter
:
I
r
o
n
P
y
th
o
n
,
t
h
e
I
r
o
n
Py
th
o
n
p
ac
k
a
g
e
in
s
talled
in
s
tep
2
en
s
u
r
es
th
at
th
e
Py
th
o
n
in
ter
p
r
eter
is
em
b
ed
d
ed
with
i
n
th
e
VSTO
a
dd
-
in
;
iv
)
E
x
ce
l
-
DNA:
Nu
Get
Pack
ag
e
,
t
h
e
E
x
ce
l
-
DNA
p
ac
k
ag
e
in
s
talled
in
s
tep
2
p
r
o
v
id
es
th
e
n
ec
ess
ar
y
in
f
r
astru
ctu
r
e
f
o
r
in
teg
r
a
tin
g
.
NE
T
co
m
p
o
n
e
n
ts
in
to
E
x
ce
l
;
v
)
E
x
ce
l
Sp
r
ea
d
s
h
ee
t:
n
o
a
d
d
itio
n
al
r
ef
er
en
ce
s
r
eq
u
ir
ed
,
t
h
e
E
x
ce
l
s
p
r
ea
d
s
h
ee
t
is
th
e
en
d
-
u
s
er
in
ter
f
ac
e
an
d
d
o
es
n
o
t
r
eq
u
ir
e
a
n
y
s
p
ec
if
ic
r
e
f
er
en
ce
s
with
in
th
e
VSTO
a
dd
-
in
.
T
h
e
f
o
llo
win
g
s
tep
s
o
u
tlin
e
th
e
f
lo
w
o
f
ex
ec
u
tio
n
wh
en
a
u
s
er
ca
lls
a
Py
th
o
n
-
b
ased
U
DF
with
in
E
x
ce
l
as
illu
s
tr
ated
in
Fig
u
r
e
3
: i)
u
s
er
ca
lls
a
Py
th
o
n
-
b
ased
UDF
, t
h
e
u
s
er
en
ter
s
th
ePy
th
o
n
-
b
ased
UDF
n
am
e
an
d
s
p
ec
if
ies
t
h
e
r
eq
u
ir
ed
p
ar
am
eter
s
with
in
an
E
x
ce
l
ce
ll
;
ii)
VSTO
a
dd
-
in
r
ec
eiv
es
ca
ll
,
t
h
e
VSTO
a
dd
-
in
in
ter
ce
p
ts
th
e
f
u
n
ctio
n
ca
ll
a
n
d
r
ec
eiv
es
th
e
n
ec
ess
ar
y
d
at
a
f
r
o
m
th
e
E
x
c
el
s
p
r
ea
d
s
h
ee
t
;
iii)
d
at
a
p
ass
ed
to
Py
th
o
n
in
ter
p
r
eter
,
t
h
e
VSTO
a
dd
-
in
p
ass
es
th
e
r
ec
eiv
e
d
d
ata
to
th
e
I
r
o
n
P
y
t
h
o
n
in
ter
p
r
eter
f
o
r
ex
ec
u
tio
n
;
iv
)
Py
th
o
n
s
cr
ip
t
ex
ec
u
tio
n
,
t
h
e
I
r
o
n
Py
t
h
o
n
in
te
r
p
r
eter
in
te
r
p
r
ets
an
d
ex
ec
u
tes
th
e
Py
th
o
n
s
cr
ip
t,
p
er
f
o
r
m
in
g
th
e
s
p
ec
if
ied
c
alcu
latio
n
s
o
r
o
p
er
atio
n
s
;
v
)
r
esu
lts
r
etu
r
n
ed
to
VSTO
a
dd
-
in
,
t
h
e
r
esu
lts
o
f
t
h
e
Py
th
o
n
s
cr
ip
t
ex
ec
u
tio
n
ar
e
r
etu
r
n
ed
to
t
h
e
VSTO
a
dd
-
in
;
an
d
v
i)
r
esu
lts
d
is
p
lay
ed
in
E
x
ce
l
,
t
h
e
VSTO
a
dd
-
in
d
is
p
lay
s
th
e
r
esu
lts
with
in
th
e
E
x
ce
l sp
r
ea
d
s
h
ee
t,
m
ak
in
g
th
e
m
av
ailab
le
f
o
r
f
u
r
th
er
a
n
aly
s
is
o
r
u
s
e.
Fig
u
r
e
3
.
T
h
e
s
eq
u
en
ce
d
iag
r
a
m
o
u
tlin
es th
e
f
lo
w
o
f
ex
ec
u
tio
n
wh
en
a
u
s
er
ca
lls
a
Py
th
o
n
-
b
ased
UDF
with
in
E
x
ce
l
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
I
SS
N:
2
5
0
2
-
4
7
52
E
n
d
-
u
s
er so
ftw
a
r
e
en
g
in
ee
r
in
g
a
p
p
r
o
a
ch
:
imp
r
o
ve
s
p
r
ea
d
s
h
ee
ts
ca
p
a
b
ilit
ies
… (
Ta
mer B
a
h
g
a
t E
ls
erw
y
)
1029
3
.
3
.
Dev
el
o
pm
ent
I
n
th
is
c
o
n
tex
t,
we
cr
ea
te
d
th
e
Py
th
o
n
is
ta
s
et
o
f
f
u
n
ctio
n
s
,
wh
ich
in
clu
d
es
f
u
n
ctio
n
s
s
u
ch
as
Py
th
o
n
is
taAv
er
ag
e(
)
,
Py
th
o
n
is
taM
ax
(
)
,
an
d
Py
th
o
n
is
taM
I
N(
)
.
As
a
p
r
o
to
ty
p
e,
we
will
f
o
cu
s
o
n
th
e
Py
th
o
n
is
taM
ax
(
r
an
g
e
)
f
u
n
ctio
n
.
T
h
is
f
u
n
cti
o
n
co
m
p
u
tes
th
e
m
ax
im
u
m
v
alu
e
f
r
o
m
s
p
ec
i
f
ied
r
an
g
es
o
f
ce
ll
v
alu
es
with
in
an
E
x
ce
l
en
v
ir
o
n
m
en
t
estab
lis
h
ed
a
n
d
i
n
teg
r
at
ed
b
y
E
x
ce
l
-
DNA.
Ad
d
itio
n
al
ly
,
it
a
llo
ws
f
o
r
th
e
cr
ea
tio
n
o
f
n
ew
wo
r
k
s
h
ee
t
f
u
n
ctio
n
s
th
at
wo
r
k
s
ea
m
less
ly
with
E
x
ce
l
'
s
ca
lcu
latio
n
m
o
d
e
l
[
2
5
]
.
T
h
e
in
ter
ac
tio
n
with
in
t
h
e
d
escr
ib
ed
s
y
s
tem
in
v
o
l
v
es
a
s
er
ies
o
f
cr
itical
s
tep
s
f
o
r
e
x
ec
u
tin
g
a
Py
th
o
n
-
b
ased
UDF
in
E
x
ce
l.
I
n
itially
,
d
u
r
in
g
t
h
e
in
itializatio
n
p
h
ase,
a
Ma
x
Fu
n
ctio
n
s
o
b
ject
is
in
s
tan
tiated
.
W
ith
in
its
co
n
s
tr
u
cto
r
,
th
e
I
r
o
n
Py
t
h
o
n
in
ter
p
r
eter
is
u
tili
ze
d
t
o
cr
ea
te
a
Py
th
o
n
en
g
in
e
in
s
tan
ce
(
r
ef
er
r
ed
to
as
'
en
g
in
e'
)
an
d
a
s
co
p
e
in
s
tan
ce
(
d
en
o
ted
as
'
s
co
p
e
'
)
th
r
o
u
g
h
th
e
m
eth
o
d
s
Py
th
o
n
.
C
r
ea
teE
n
g
in
e(
)
a
n
d
en
g
in
e.
C
r
ea
teSco
p
e(
)
,
r
esp
ec
tiv
ely
.
Su
b
s
eq
u
en
tly
,
wh
en
th
e
Py
th
o
n
is
taM
ax
f
u
n
ctio
n
is
ca
lled
,
a
n
ew
Ma
x
Fu
n
ctio
n
s
o
b
ject
(
d
esig
n
a
ted
as
'
p
y
th
o
n
_
f
u
n
ctio
n
'
)
is
in
s
tan
tiated
.
T
h
e
r
an
g
e
d
ata
p
r
o
v
id
ed
b
y
th
e
u
s
er
is
ass
ig
n
ed
to
th
e
p
r
e
v
io
u
s
ly
e
s
tab
lis
h
ed
Py
th
o
n
s
co
p
e.
T
h
e
s
y
s
tem
th
en
ex
ec
u
tes
th
e
s
cr
ip
t
f
ile
n
am
ed
ca
lcu
late_
r
an
g
e
_
m
ax
.
p
y
u
tili
z
in
g
th
e
e
n
g
in
e
al
o
n
g
s
id
e
its
co
r
r
esp
o
n
d
in
g
s
co
p
e.
Du
r
in
g
th
is
ex
ec
u
tio
n
,
it
r
etr
iev
es
th
e
ca
lc
u
late_
m
ax
f
u
n
ctio
n
f
r
o
m
with
in
th
e
Py
t
h
o
n
s
co
p
e
.
T
h
e
ca
lcu
late_
m
ax
f
u
n
ctio
n
p
er
f
o
r
m
s
s
ev
er
al
o
p
er
atio
n
s
:
it
s
ca
n
s
f
o
r
n
o
n
-
em
p
ty
ce
lls
with
in
th
e
s
p
ec
if
ied
r
a
n
g
e,
c
o
m
p
u
tes
th
e
m
ax
im
u
m
v
al
u
e
am
o
n
g
th
o
s
e
ce
lls
,
an
d
s
u
b
s
eq
u
en
tly
r
etu
r
n
s
th
is
co
m
p
u
t
ed
r
esu
lt.
T
o
f
u
r
th
er
elu
cid
a
te
th
is
p
r
o
ce
s
s
,
an
alg
o
r
ith
m
is
p
r
esen
ted
i
n
lis
tin
g
1
,
wh
ic
h
o
u
tlin
es
th
e
co
n
ce
p
tu
al
f
r
am
ewo
r
k
a
n
d
wo
r
k
f
lo
w
in
v
o
lv
ed
in
in
teg
r
atin
g
th
is
Py
th
o
n
-
b
ased
UDF
f
o
r
ca
lcu
latin
g
th
e
m
ax
i
m
u
m
v
alu
e
o
f
a
s
p
ec
if
ie
d
r
an
g
e
in
E
x
ce
l.
Alg
o
r
ith
m
1
.
I
n
teg
r
ates a
Py
th
o
n
-
b
ased
u
s
er
d
ef
in
e
d
f
u
n
ctio
n
in
E
x
ce
l
Require: Calculate the maximum value of a selected range of cells in Excel sheet.
Input:
range: A string representing the Excel range of cells (e.g., "A1:B5").
Output:
max_value: The maximum value found within the specified
range of cells.
error_message: A string message indicating an error.
Class MaxFunctions:
1.Declare engine as ScriptEngine
2.Declare scope as ScriptScope
Constructor MaxFunctions():
3.engine <
-
Create new Python Engine
4.scope <
-
Create new Scope usi
ng engine
Function PythonistaMax(range):
5.Declare python_function as new MaxFunctions object
6.Set range variable in Python scope
7.Declare script File as path to script file
8.Execute script File using engine within scope
9.Declare calculate_m
ax as function from scope
10.Return result of calculate_max function
End Class
Python script calculates_range_max.py:
Function calculate_max(cells):
1.If cells are not empty then
2.
Calculate max value of cells
3.
Return maximum value
4.Else
5
.
Return “Cells are empty, cannot calculate maximum value.”
End Class
Fu
r
th
er
m
o
r
e
,
wh
en
E
x
ce
l
in
v
o
k
es
R
eq
u
estC
o
m
Ad
d
I
n
Au
t
o
m
atio
n
Ser
v
ice,
a
n
ew
in
s
tan
ce
o
f
th
e
Av
er
ag
eFu
n
ctio
n
s
class
g
en
e
r
ated
an
d
r
etu
r
n
e
d
.
Du
r
in
g
a
d
d
-
in
in
itializatio
n
,
t
h
e
I
n
ter
n
alStar
tu
p
m
eth
o
d
r
eg
is
ter
s
ev
en
t
h
an
d
ler
s
T
h
is
Ad
d
I
n
_
Star
tu
p
an
d
T
h
is
Ad
d
I
n
_
Sh
u
td
o
w
n
.
Ov
er
all,
th
is
in
t
eg
r
atio
n
allo
ws
u
s
er
s
to
ca
ll
th
e
Py
th
o
n
-
b
ased
UDF
d
ir
ec
tly
with
in
E
x
ce
l,
lev
e
r
ag
in
g
Py
th
o
n
'
s
f
u
n
ctio
n
alities
f
o
r
d
ata
a
n
aly
s
is
with
in
th
e
f
am
iliar
E
x
ce
l i
n
ter
f
ac
e.
4.
RE
SU
L
T
S AN
D
D
I
SCU
SS
I
O
N
W
ith
th
e
m
eth
o
d
o
lo
g
y
an
d
ex
p
er
im
en
ts
estab
lis
h
ed
,
we
n
o
w
d
is
cu
s
s
th
e
d
eb
u
g
g
in
g
p
r
o
ce
s
s
em
p
lo
y
ed
to
v
er
i
f
y
th
e
ac
c
u
r
a
cy
an
d
r
eliab
ilit
y
o
f
th
e
im
p
le
m
en
ted
p
r
o
to
ty
p
e
o
f
t
h
e
Py
th
o
n
is
ta
f
u
n
ctio
n
s
et.
T
o
b
eg
in
,
u
s
er
s
s
h
o
u
ld
s
tar
t
Mic
r
o
s
o
f
t
E
x
ce
l
an
d
r
u
n
th
e
Py
th
o
n
is
taM
ax
(
r
an
g
e
)
,
a
Py
th
o
n
-
b
ased
UDF
.
Step
-
by
-
s
tep
e
x
ec
u
tio
n
:
i
)
s
elec
t
a
n
ew
em
p
ty
ce
ll
(
e.
g
.
,
C
2
)
;
i
i
)
t
ype
=Py
th
o
n
is
taM
ax
(
)
to
i
n
v
o
k
e
th
e
f
u
n
ctio
n
,
s
im
ilar
t
o
s
tan
d
ar
d
E
x
ce
l
f
u
n
c
tio
n
s
;
an
d
iii)
s
p
ec
if
y
th
e
r
an
g
e
b
y
en
ter
in
g
=Py
th
o
n
is
taM
ax
(
A1
:B
3
)
as
s
h
o
wn
in
Fig
u
r
e
4
,
th
en
p
r
ess
en
ter
to
ca
lcu
late
th
e
v
alu
es.
T
h
is
test
in
g
p
r
o
ce
s
s
v
alid
ated
th
e
s
u
cc
ess
f
u
l im
p
lem
en
tatio
n
o
f
Py
th
o
n
is
ta
f
u
n
ctio
n
s
as U
DFs
w
ith
in
th
e
E
x
ce
l
p
r
o
to
ty
p
e.
User
s
c
an
d
ir
ec
tly
in
v
o
k
e
th
e
Py
th
o
n
is
taM
ax
(
r
an
g
e)
f
u
n
ctio
n
in
th
eir
s
p
r
ea
d
s
h
ee
ts
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
5
0
2
-
4
7
52
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
,
Vo
l.
38
,
No
.
2
,
May
20
25
:
1
0
2
4
-
1
0
3
2
1030
B
y
en
ter
in
g
th
e
n
am
e
o
f
th
e
Py
th
o
n
-
b
ased
UDF
an
d
s
elec
tin
g
a
d
esire
d
r
an
g
e
in
a
ce
ll
(
e.
g
.
,
C
2
)
,
u
s
er
s
ca
n
tr
ig
g
er
t
h
e
ex
ec
u
tio
n
o
f
th
e
co
r
r
esp
o
n
d
in
g
Py
th
o
n
s
cr
ip
t.
T
h
e
VSTO
a
dd
-
in
ar
c
h
itectu
r
e
f
ac
ilit
ates
th
is
in
ter
ac
tio
n
b
y
d
ir
ec
tin
g
d
ata
to
th
e
Py
th
o
n
f
u
n
ctio
n
with
in
th
e
ad
d
-
in
a
n
d
r
et
u
r
n
in
g
ca
lc
u
lated
r
esu
lts
to
th
e
u
s
er
'
s
s
p
r
ea
d
s
h
ee
t.
Fo
r
ex
am
p
l
e,
it
d
is
p
lay
s
th
e
ca
lc
u
lated
m
ax
im
u
m
v
alu
e
d
i
r
ec
tly
in
E
x
c
el.
T
h
e
e
x
p
er
im
en
ts
co
n
f
ir
m
th
at
we
ad
h
er
ed
to
a
co
n
s
is
ten
t
m
eth
o
d
o
lo
g
y
t
h
r
o
u
g
h
o
u
t
th
is
s
tu
d
y
.
I
n
itially
,
we
d
ev
elo
p
e
d
a
m
an
ag
ed
co
d
e
ass
em
b
ly
th
at
in
teg
r
ates
with
Mic
r
o
s
o
f
t
O
f
f
ice
ap
p
licatio
n
s
.
On
ce
lo
ad
ed
,
th
e
VSTO
ad
d
-
in
ac
tiv
ely
r
esp
o
n
d
s
to
ev
en
ts
g
e
n
er
ated
with
in
E
x
ce
l.
Fig
u
r
e
4
.
A
p
y
th
o
n
-
b
ased
UD
F a
p
p
ea
r
s
s
im
ilar
to
an
y
t
y
p
ic
al
E
x
ce
l f
u
n
ctio
n
T
h
is
ad
d
-
in
u
tili
ze
s
th
e
o
b
ject
m
o
d
el
to
au
to
m
ate
an
d
en
h
a
n
ce
ap
p
licatio
n
f
ea
tu
r
es,
with
f
u
ll
ac
ce
s
s
to
.
NE
T
Fra
m
ewo
r
k
class
es
f
o
r
f
u
r
t
h
er
c
u
s
to
m
izatio
n
.
I
t
in
ter
ac
ts
ef
f
ec
tiv
ely
with
C
OM
co
m
p
o
n
en
ts
,
en
ab
lin
g
ca
lls
to
Py
th
o
n
-
b
ased
UDFs
wh
ile
d
ir
ec
tin
g
d
ata
to
c
u
s
to
m
f
u
n
ctio
n
s
th
at
o
p
er
ate
u
s
in
g
Py
th
o
n
s
cr
ip
ts
.
As
s
u
ch
,
VSTO
ad
d
-
in
s
ar
e
ess
en
tial
to
o
ls
f
o
r
en
h
an
cin
g
ca
p
a
b
ilit
ies
with
in
O
f
f
ice
A
p
p
licatio
n
s
.
T
h
is
p
ap
er
p
r
esen
ts
a
n
o
v
el
m
eth
o
d
f
o
r
in
teg
r
atin
g
Py
th
o
n
-
b
a
s
ed
UDFs
in
to
E
x
ce
l,
ad
d
r
ess
in
g
laten
cy
is
s
u
es
ass
o
ciate
d
with
clo
u
d
-
b
ased
in
teg
r
atio
n
s
.
T
h
e
C
#
a
n
d
VS
T
O
-
b
u
ilt
s
tan
d
alo
n
e
d
esk
to
p
ap
p
licatio
n
allo
ws
s
ea
m
less
in
ter
ac
tio
n
b
etwe
en
Py
th
o
n
s
cr
ip
ts
an
d
E
x
c
el,
en
ab
lin
g
u
s
er
s
to
p
er
f
o
r
m
o
p
er
atio
n
s
s
u
ch
as
d
ata
an
aly
s
is
an
d
v
is
u
aliza
tio
n
d
ir
ec
tly
with
in
s
p
r
ea
d
s
h
ee
ts
.
T
h
e
f
in
d
in
g
s
co
n
f
ir
m
th
e
ef
f
icac
y
o
f
th
is
m
eth
o
d
o
l
o
g
y
,
h
ig
h
lig
h
tin
g
h
o
w
VSTO
ad
d
-
in
s
ca
n
tr
an
s
f
o
r
m
s
tan
d
ar
d
O
f
f
ice
a
p
p
licatio
n
s
in
to
p
o
wer
f
u
l
to
o
ls
.
T
h
is
p
ap
er
ad
v
a
n
ce
s
en
d
-
u
s
er
e
n
g
in
ee
r
i
n
g
an
d
p
a
v
es
th
e
way
f
o
r
f
u
tu
r
e
s
tu
d
ies
o
n
ex
p
an
d
i
n
g
a
v
ailab
le
Py
th
o
n
is
ta
f
u
n
ctio
n
s
an
d
ex
a
m
in
in
g
u
s
er
ex
p
e
r
ien
ce
s
r
elate
d
to
d
ata
an
aly
s
is
ap
p
r
o
ac
h
es
with
in
E
x
ce
l.
W
h
ile
d
em
o
n
s
tr
atin
g
th
e
f
ea
s
ib
ilit
y
o
f
in
teg
r
atin
g
Py
th
o
n
UDFs
i
n
E
x
ce
l,
f
u
r
th
er
r
esear
ch
is
n
ec
ess
ar
y
to
ev
alu
ate
p
er
f
o
r
m
an
ce
im
p
ac
ts
o
n
lar
g
e
-
s
ca
le
s
cr
ip
t
ex
ec
u
tio
n
an
d
s
ca
lab
ilit
y
f
o
r
co
m
p
lex
d
atasets
.
Fu
tu
r
e
d
ir
ec
tio
n
s
m
ay
in
clu
d
e
ex
p
an
d
i
n
g
av
aila
b
le
Py
th
o
n
is
ta
f
u
n
ctio
n
s
f
o
r
d
ata
v
is
u
aliza
tio
n
an
d
m
ac
h
in
e
lear
n
in
g
,
as
well
as
d
ev
elo
p
in
g
p
latf
o
r
m
s
f
o
r
cu
s
to
m
f
u
n
ctio
n
cr
ea
tio
n
.
I
n
co
n
clu
s
io
n
,
th
is
p
ap
er
em
p
h
asi
ze
s
an
in
n
o
v
ativ
e
m
eth
o
d
f
o
r
in
co
r
p
o
r
atin
g
Py
t
h
o
n
-
b
ased
UDFs
in
to
E
x
ce
l,
em
p
o
wer
in
g
u
s
er
s
with
e
n
h
a
n
ce
d
d
ata
an
aly
s
is
ca
p
ab
ilit
ies wh
ile
s
ettin
g
a
f
o
u
n
d
atio
n
f
o
r
o
n
g
o
i
n
g
e
x
p
lo
r
atio
n
in
th
is
ar
ea
.
5.
CO
NCLU
SI
O
N
I
n
co
n
clu
s
io
n
,
th
is
p
ap
er
in
tr
o
d
u
ce
s
an
in
n
o
v
ativ
e
m
eth
o
d
f
o
r
im
p
r
o
v
in
g
s
p
r
ea
d
s
h
ee
t
f
u
n
ctio
n
alities
b
y
in
teg
r
atin
g
p
y
th
o
n
-
b
ased
UDFs
wi
th
in
th
e
E
x
ce
l e
n
v
ir
o
n
m
en
t,
s
u
cc
ess
f
u
lly
tack
lin
g
th
e
laten
cy
ch
allen
g
es
lin
k
ed
to
clo
u
d
-
b
ased
Py
th
o
n
in
teg
r
atio
n
.
T
h
is
p
ap
er
d
em
o
n
s
tr
ated
a
s
tan
d
alo
n
e
d
esk
to
p
ap
p
licatio
n
,
d
ev
elo
p
e
d
with
C
#
p
r
o
g
r
am
m
in
g
an
d
VSTO
ad
d
-
in
s
,
f
ac
i
litates
s
m
o
o
th
in
ter
ac
tio
n
b
et
wee
n
Py
th
o
n
s
cr
ip
ts
an
d
E
x
ce
l,
allo
win
g
u
s
er
s
to
ex
ec
u
te
a
v
ar
iety
o
f
task
s
d
ir
ec
tly
with
in
th
eir
s
p
r
ea
d
s
h
e
ets.
T
h
e
s
u
cc
ess
f
u
l
im
p
lem
en
tatio
n
o
f
Py
th
o
n
is
ta
f
u
n
ctio
n
s
as
p
y
t
h
o
n
-
b
ased
U
DFs
with
in
th
e
E
x
ce
l
p
r
o
to
ty
p
e,
as
co
n
f
ir
m
e
d
b
y
o
u
r
test
in
g
p
r
o
ce
s
s
,
d
em
o
n
s
tr
ates
th
e
p
r
ac
tical
ap
p
licatio
n
o
f
th
is
ap
p
r
o
ac
h
.
User
s
ca
n
n
o
w
ca
ll
th
e
Py
th
o
n
is
taM
ax
(
r
an
g
e
)
f
u
n
ctio
n
d
ir
ec
tly
in
th
eir
s
p
r
ea
d
s
h
ee
ts
,
s
im
ilar
t
o
an
y
ty
p
ic
al
E
x
ce
l
f
u
n
ctio
n
,
r
ev
o
lu
tio
n
izin
g
th
e
way
t
h
ey
in
ter
ac
t
with
d
ata
an
aly
s
is
.
Mo
r
eo
v
er
,
t
h
is
p
ap
er
ex
p
e
r
i
m
en
ts
co
n
f
ir
m
th
e
ef
f
icac
y
o
f
t
h
e
m
eth
o
d
o
lo
g
y
,
d
em
o
n
s
tr
atin
g
h
o
w
VSTO
ad
d
-
in
s
ca
n
co
n
v
er
t
s
tan
d
ar
d
O
f
f
ice
a
p
p
licatio
n
s
in
to
r
o
b
u
s
t
to
o
ls
.
T
h
is
r
esear
ch
m
ar
k
s
an
im
p
o
r
tan
t
ad
v
an
ce
m
en
t
in
en
d
-
u
s
er
en
g
in
ee
r
in
g
,
s
ettin
g
th
e
g
r
o
u
n
d
wo
r
k
Evaluation Warning : The document was created with Spire.PDF for Python.
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n
d
o
n
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o
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p
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imp
r
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p
r
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f
o
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t
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r
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ies
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ex
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th
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ta
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o
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p
ab
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o
f
th
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p
r
o
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h
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f
u
tu
r
e
r
esear
ch
c
o
u
ld
f
o
cu
s
o
n
e
x
p
an
d
in
g
Py
t
h
o
n
is
ta
f
u
n
ctio
n
s
b
y
im
p
lem
en
tin
g
a
wid
er
r
an
g
e
o
f
Py
th
o
n
f
u
n
ctio
n
s
as
p
y
th
o
n
-
b
ased
UDFs
.
T
h
is
wo
u
ld
in
clu
d
e
f
u
n
ctio
n
s
f
o
r
d
ata
v
is
u
aliza
tio
n
,
m
ac
h
i
n
e
lear
n
in
g
,
an
d
s
tatis
tical
an
a
ly
s
is
.
Ad
d
itio
n
ally
,
cu
s
to
m
f
u
n
ctio
n
d
ev
elo
p
m
en
t
co
u
l
d
b
e
f
ac
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ated
b
y
p
r
o
v
id
i
n
g
a
p
latf
o
r
m
o
r
f
r
am
e
wo
r
k
th
at
allo
ws
u
s
er
s
to
cr
ea
te
th
eir
o
wn
cu
s
to
m
p
y
th
o
n
f
u
n
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n
s
as
UDFs
,
tailo
r
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s
p
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if
ic
n
ee
d
s
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d
d
o
m
ain
s
.
RE
F
E
R
E
NC
E
S
[
1
]
G
l
o
b
a
l
M
a
r
k
e
t
I
n
si
g
h
t
s,
“
E
n
d
-
u
ser
-
c
o
mp
u
t
i
n
g
-
EU
C
-
mar
k
e
t
,
”
2
0
2
3
.
[
O
n
l
i
n
e
]
.
A
v
a
i
l
a
b
l
e
:
h
t
t
p
s:
/
/
w
w
w
.
g
mi
n
s
i
g
h
t
s
.
c
o
m/
i
n
d
u
st
r
y
-
a
n
a
l
y
si
s
/
e
n
d
-
u
ser
-
c
o
m
p
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g
-
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c
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k
e
t
.
(
a
c
c
e
sse
d
M
a
r
.
0
4
,
2
0
2
4
)
.
[
2
]
J.
B
o
r
g
h
o
u
t
s
,
A
.
D
.
G
o
r
d
o
n
,
A
.
S
a
r
k
a
r
,
a
n
d
N
.
To
r
o
n
t
o
,
“
E
nd
-
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s
e
r
p
r
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b
a
b
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l
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c
p
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r
a
mm
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n
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,
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p
p
.
3
–
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o
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:
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/
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3
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3
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8
1
-
8
_
1
.
[
3
]
M
.
Ta
l
l
i
s,
R
.
W
a
l
t
z
m
a
n
,
a
n
d
R
.
B
l
a
z
e
r
,
“
A
d
d
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g
d
e
d
u
c
t
i
v
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g
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c
t
o
a
C
O
TS
sp
r
e
a
d
sh
e
e
t
,
”
K
n
o
w
l
e
d
g
e
E
n
g
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ri
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g
R
e
v
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w
,
v
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l
.
2
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,
p
p
.
2
5
5
–
2
6
8
,
2
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,
d
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:
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8
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9
0
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0
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1
1
6
6
.
[
4
]
M
i
c
r
o
s
o
f
t
,
“
A
n
n
o
u
n
c
i
n
g
p
y
t
h
o
n
i
n
e
x
c
e
l
c
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m
b
i
n
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g
t
h
e
p
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w
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r
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f
p
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t
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d
t
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f
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x
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b
i
l
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t
y
o
f
E
x
c
e
l
,
”
T
e
c
h
c
o
m
m
u
n
i
t
y
.
Mi
c
ro
s
o
f
t
.
C
o
m
,
2
0
2
3
.
[
O
n
l
i
n
e
]
.
A
v
a
i
l
a
b
l
e
:
h
t
t
p
s:
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t
e
c
h
c
o
mm
u
n
i
t
y
.
m
i
c
r
o
so
f
t
.
c
o
m
/
t
5
/
e
x
c
e
l
-
b
l
o
g
/
a
n
n
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c
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g
-
p
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in
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
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:
2
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52
I
n
d
o
n
esian
J
E
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n
g
&
C
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m
p
Sci
,
Vo
l.
38
,
No
.
2
,
May
20
25
:
1
0
2
4
-
1
0
3
2
1032
B
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Evaluation Warning : The document was created with Spire.PDF for Python.