
# slower version:

s = input()
for i in range(len(s)):
  if i%2 == 0:
    print(s[i], end = '')


# optimized version of the same code:

s = input()
ans = ''
for i in range(len(s)):
  if i % 2 == 0:
    ans += s[i]
print(ans)



# slower version:

import sys

input = sys.stdin.readline



n,k = list(map(int, input().split()))

As = [int(eval(input())) for i in range(n)]



# N: 処理する区間の長さ



INF = 0



mx = 300001

LV = (mx-1).bit_length()

N0 = 2**LV

data = [INF]*(2*N0)

lazy = [None]*(2*N0)



# 伝搬対象の区間を求める

def gindex(l, r):

    L = (l + N0) >> 1; R = (r + N0) >> 1

    lc = 0 if l & 1 else (L & -L).bit_length()

    rc = 0 if r & 1 else (R & -R).bit_length()

    for i in range(LV):

        if rc <= i:

            yield R

        if L < R and lc <= i:

            yield L

        L >>= 1; R >>= 1



# 遅延伝搬処理

def propagates(*ids):

    for i in reversed(ids):

        v = lazy[i-1]

        if v is None:

            continue

        lazy[2*i-1] = data[2*i-1] = lazy[2*i] = data[2*i] = v

        lazy[i-1] = None



# 区間[l, r)をxで更新

def update(l, r, x):

    *ids, = gindex(l, r)

    propagates(*ids)



    L = N0 + l; R = N0 + r

    while L < R:

        if R & 1:

            R -= 1

            lazy[R-1] = data[R-1] = x

        if L & 1:

            lazy[L-1] = data[L-1] = x

            L += 1

        L >>= 1; R >>= 1

    for i in ids:

        data[i-1] = max(data[2*i-1], data[2*i])



# 区間[l, r)内の最小値を求める

def query(l, r):

    propagates(*gindex(l, r))

    L = N0 + l; R = N0 + r



    s = INF

    while L < R:

        if R & 1:

            R -= 1

            s = max(s, data[R-1])

        if L & 1:

            s = max(s, data[L-1])

            L += 1

        L >>= 1; R >>= 1

    return s



update(As[0],As[0]+1,1)

for i, a in enumerate(As[1:]):

    l = max(0,a-k)

    r = min(mx,a+k)

    upd = query(l,r+1)

    if upd == -1:continue

    # print("i",i,"a",a,"upd",upd,"l",l,"r",r)

    update(a, a+1, upd+1)



ans = 0

for a in set(As):

    ans = max(ans,query(a,a+1))

print(ans)

# optimized version of the same code:

import sys

input = sys.stdin.readline



n,k = list(map(int, input().split()))

As = [int(eval(input())) for i in range(n)]



# N: 処理する区間の長さ



INF = 0



mx = 300001

LV = (mx-1).bit_length()

N0 = 2**LV

data = [INF]*(2*N0)

lazy = [None]*(2*N0)



# 伝搬対象の区間を求める

def gindex(l, r):

    L = (l + N0) >> 1; R = (r + N0) >> 1

    lc = 0 if l & 1 else (L & -L).bit_length()

    rc = 0 if r & 1 else (R & -R).bit_length()

    for i in range(LV):

        if rc <= i:

            yield R

        if L < R and lc <= i:

            yield L

        L >>= 1; R >>= 1



# 遅延伝搬処理

def propagates(*ids):

    for i in reversed(ids):

        v = lazy[i-1]

        if v is None:

            continue

        lazy[2*i-1] = data[2*i-1] = lazy[2*i] = data[2*i] = v

        lazy[i-1] = None



# 区間[l, r)をxで更新

def update(l, r, x):

    *ids, = gindex(l, r)

    propagates(*ids)



    L = N0 + l; R = N0 + r

    while L < R:

        if R & 1:

            R -= 1

            lazy[R-1] = data[R-1] = x

        if L & 1:

            lazy[L-1] = data[L-1] = x

            L += 1

        L >>= 1; R >>= 1

    for i in ids:

        data[i-1] = max(data[2*i-1], data[2*i])



# 区間[l, r)内の最小値を求める

def query(l, r):

    propagates(*gindex(l, r))

    L = N0 + l; R = N0 + r



    s = INF

    while L < R:

        if R & 1:

            R -= 1

            s = max(s, data[R-1])

        if L & 1:

            s = max(s, data[L-1])

            L += 1

        L >>= 1; R >>= 1

    return s



ans = 0

update(As[0],As[0]+1,1)

for i, a in enumerate(As[1:]):

    l = max(0,a-k)

    r = min(mx,a+k)

    upd = query(l,r+1)

    if upd == -1:continue

    # print("i",i,"a",a,"upd",upd,"l",l,"r",r)

    update(a, a+1, upd+1)

    ans = max(ans, upd+1)

print(ans)



import sys

input = sys.stdin.readline
n, k = list(map(int, input().split()))
As = [int(eval(input())) for i in range(n)]
# N: 処理する区間の長さ
INF = 0
mx = 300001
LV = (mx - 1).bit_length()
N0 = 2**LV
data = [INF] * (2 * N0)
lazy = [None] * (2 * N0)
# 伝搬対象の区間を求める
def gindex(l, r):
    L = (l + N0) >> 1
    R = (r + N0) >> 1
    lc = 0 if l & 1 else (L & -L).bit_length()
    rc = 0 if r & 1 else (R & -R).bit_length()
    for i in range(LV):
        if rc <= i:
            yield R
        if L < R and lc <= i:
            yield L
        L >>= 1
        R >>= 1


# 遅延伝搬処理
def propagates(*ids):
    for i in reversed(ids):
        v = lazy[i - 1]
        if v is None:
            continue
        lazy[2 * i - 1] = data[2 * i - 1] = lazy[2 * i] = data[2 * i] = v
        lazy[i - 1] = None


# 区間[l, r)をxで更新
def update(l, r, x):
    (*ids,) = gindex(l, r)
    propagates(*ids)
    L = N0 + l
    R = N0 + r
    while L < R:
        if R & 1:
            R -= 1
            lazy[R - 1] = data[R - 1] = x
        if L & 1:
            lazy[L - 1] = data[L - 1] = x
            L += 1
        L >>= 1
        R >>= 1
    for i in ids:
        data[i - 1] = max(data[2 * i - 1], data[2 * i])


# 区間[l, r)内の最小値を求める
def query(l, r):
    propagates(*gindex(l, r))
    L = N0 + l
    R = N0 + r
    s = INF
    while L < R:
        if R & 1:
            R -= 1
            s = max(s, data[R - 1])
        if L & 1:
            s = max(s, data[L - 1])
            L += 1
        L >>= 1
        R >>= 1
    return s


update(As[0], As[0] + 1, 1)
for i, a in enumerate(As[1:]):
    l = max(0, a - k)
    r = min(mx, a + k)
    upd = query(l, r + 1)
    if upd == -1:
        continue
    # print("i",i,"a",a,"upd",upd,"l",l,"r",r)
    update(a, a + 1, upd + 1)
ans = 0
for a in set(As):
    ans = max(ans, query(a, a + 1))
print(ans)

import sys

input = sys.stdin.readline
n, k = list(map(int, input().split()))
As = [int(eval(input())) for i in range(n)]
# N: 処理する区間の長さ
INF = 0
mx = 300001
LV = (mx - 1).bit_length()
N0 = 2**LV
data = [INF] * (2 * N0)
lazy = [None] * (2 * N0)
# 伝搬対象の区間を求める
def gindex(l, r):
    L = (l + N0) >> 1
    R = (r + N0) >> 1
    lc = 0 if l & 1 else (L & -L).bit_length()
    rc = 0 if r & 1 else (R & -R).bit_length()
    for i in range(LV):
        if rc <= i:
            yield R
        if L < R and lc <= i:
            yield L
        L >>= 1
        R >>= 1


# 遅延伝搬処理
def propagates(*ids):
    for i in reversed(ids):
        v = lazy[i - 1]
        if v is None:
            continue
        lazy[2 * i - 1] = data[2 * i - 1] = lazy[2 * i] = data[2 * i] = v
        lazy[i - 1] = None


# 区間[l, r)をxで更新
def update(l, r, x):
    (*ids,) = gindex(l, r)
    propagates(*ids)
    L = N0 + l
    R = N0 + r
    while L < R:
        if R & 1:
            R -= 1
            lazy[R - 1] = data[R - 1] = x
        if L & 1:
            lazy[L - 1] = data[L - 1] = x
            L += 1
        L >>= 1
        R >>= 1
    for i in ids:
        data[i - 1] = max(data[2 * i - 1], data[2 * i])


# 区間[l, r)内の最小値を求める
def query(l, r):
    propagates(*gindex(l, r))
    L = N0 + l
    R = N0 + r
    s = INF
    while L < R:
        if R & 1:
            R -= 1
            s = max(s, data[R - 1])
        if L & 1:
            s = max(s, data[L - 1])
            L += 1
        L >>= 1
        R >>= 1
    return s


ans = 0
update(As[0], As[0] + 1, 1)
for i, a in enumerate(As[1:]):
    l = max(0, a - k)
    r = min(mx, a + k)
    upd = query(l, r + 1)
    if upd == -1:
        continue
    # print("i",i,"a",a,"upd",upd,"l",l,"r",r)
    update(a, a + 1, upd + 1)
    ans = max(ans, upd + 1)
print(ans)

+ans = 0 -ans = 0 -for a in set(As): -    ans = max(ans, query(a, a + 1)) +    ans = max(ans, upd + 1)