Buggy python submission (verdict: Runtime Error):
n = int(input())
A = [int(x) for x in input().split()]

p = 10**9 + 7

found = {}
for i, a in enumerate(A):
    if a in found:
        dup = a
        dup_1 = found[a]
        dup_2 = i
    found[a] = i

from functools import lru_cache

@lru_cache(maxsize=None)
def gfp_inv(x, p):
    return pow(x, p - 2, p)

from itertools import chain, accumulate
memo_fact = list(chain([1], accumulate(range(1, 10**5 + 1), lambda a, x: a * x % p)))

def comb(n, m):
    if m < 0 or n < m: return 0
    if n == m: return 1
    return memo_fact[n] * gfp_inv(memo_fact[n - m], p) * gfp_inv(memo_fact[m], p) % p

intv = dup_2 - dup_1 - 1
for k in range(1, n + 2):
    ans = comb(n + 1, k)
    ans -= comb(n + 1 - intv - 2, k - 1)
    print(ans % p)

Fixed submission:
n = int(input())
A = [int(x) for x in input().split()]

p = 10**9 + 7

found = {}
for i, a in enumerate(A):
    if a in found:
        dup = a
        dup_1 = found[a]
        dup_2 = i
    found[a] = i

from functools import lru_cache

@lru_cache(maxsize=None)
def gfp_inv(x, p):
    return pow(x, p - 2, p)

from itertools import chain, accumulate
memo_fact = list(chain([1], accumulate(range(1, 10**5 + 2), lambda a, x: a * x % p)))

def comb(n, m):
    if m < 0 or n < m: return 0
    if n == m: return 1
    return memo_fact[n] * gfp_inv(memo_fact[n - m], p) * gfp_inv(memo_fact[m], p) % p

intv = dup_2 - dup_1 - 1
for k in range(1, n + 2):
    ans = comb(n + 1, k)
    ans -= comb(n + 1 - intv - 2, k - 1)
    print(ans % p)

Buggy python submission (verdict: Time Limit Exceeded):
n = int(input())
A = [int(x) for x in input().split()]

found = {}
for i, a in enumerate(A):
    if a in found:
        dup = a
        dup_1 = found[a]
        dup_2 = i
    found[a] = i

from functools import lru_cache

@lru_cache(maxsize=None)
def gfp_inv(x, p):
    return pow(x, p - 2, p)

@lru_cache(maxsize=None)
def fact(n, m, p):
    ret = 1
    for i in range(m, n + 1):
        ret = (ret * i) % p
    return ret

def comb(n, m):
    if m < 0 or n < m: return 0
    if n == m: return 1
    return fact(n, n - m + 1, p) * gfp_inv(fact(m, 1, p), p) % p

p = 10**9 + 7

intv = dup_2 - dup_1 - 1
for k in range(1, n + 2):
    ans = comb(n + 1, k)
    ans -= comb(n + 1 - intv - 2, k - 1)
    print(ans % p)

Fixed submission:
n = int(input())
A = [int(x) for x in input().split()]

p = 10**9 + 7

found = {}
for i, a in enumerate(A):
    if a in found:
        dup = a
        dup_1 = found[a]
        dup_2 = i
    found[a] = i

from functools import lru_cache

@lru_cache(maxsize=None)
def gfp_inv(x, p):
    return pow(x, p - 2, p)

from itertools import chain, accumulate
memo_fact = list(chain([1], accumulate(range(1, 10**5 + 2), lambda a, x: a * x % p)))

def comb(n, m):
    if m < 0 or n < m: return 0
    if n == m: return 1
    return memo_fact[n] * gfp_inv(memo_fact[n - m], p) * gfp_inv(memo_fact[m], p) % p

intv = dup_2 - dup_1 - 1
for k in range(1, n + 2):
    ans = comb(n + 1, k)
    ans -= comb(n + 1 - intv - 2, k - 1)
    print(ans % p)

Buggy python submission (verdict: Runtime Error):
init_input()

n = int(input())
A = [int(x) for x in input().split()]

found = {}
for i, a in enumerate(A):
    if a in found:
        dup = a
        dup_1 = found[a]
        dup_2 = i
    found[a] = i

from functools import lru_cache

@lru_cache(maxsize=None)
def gfp_inv(x, p):
    return pow(x, p - 2, p)

@lru_cache(maxsize=None)
def fact(n, m, p):
    ret = 1
    for i in range(m, n + 1):
        ret = (ret * i) % p
    return ret

def comb(n, m):
    if m < 0 or n < m: return 0
    if n == m: return 1
    return fact(n, n - m + 1, p) * gfp_inv(fact(m, 1, p), p) % p

p = 10**9 + 7

intv = dup_2 - dup_1 - 1
for k in range(1, n + 2):
    ans = comb(n + 1, k)
    ans -= comb(n + 1 - intv - 2, k - 1)
    print(ans % p)

Fixed submission:
n = int(input())
A = [int(x) for x in input().split()]

p = 10**9 + 7

found = {}
for i, a in enumerate(A):
    if a in found:
        dup = a
        dup_1 = found[a]
        dup_2 = i
    found[a] = i

from functools import lru_cache

@lru_cache(maxsize=None)
def gfp_inv(x, p):
    return pow(x, p - 2, p)

from itertools import chain, accumulate
memo_fact = list(chain([1], accumulate(range(1, 10**5 + 2), lambda a, x: a * x % p)))

def comb(n, m):
    if m < 0 or n < m: return 0
    if n == m: return 1
    return memo_fact[n] * gfp_inv(memo_fact[n - m], p) * gfp_inv(memo_fact[m], p) % p

intv = dup_2 - dup_1 - 1
for k in range(1, n + 2):
    ans = comb(n + 1, k)
    ans -= comb(n + 1 - intv - 2, k - 1)
    print(ans % p)

Buggy python submission (verdict: Time Limit Exceeded):
n = int(input())
A = [int(x) for x in input().split()]

found = {}
for i, a in enumerate(A):
    if a in found:
        dup = a
        dup_1 = found[a]
        dup_2 = i
    found[a] = i

from functools import lru_cache

def gfp_inv(x, p):
    return pow(x, p - 2, p)

@lru_cache()
def fact(n, m, p):
    ret = 1
    for i in range(m, n + 1):
        ret = (ret * i) % p
    return ret

def comb(n, m):
    if m < 0 or n < m: return 0
    if n == m: return 1
    return fact(n, n - m + 1, p) * gfp_inv(fact(m, 1, p), p) % p

p = 10**9 + 7

intv = dup_2 - dup_1 - 1
for k in range(1, n + 2):
    ans = comb(n + 1, k)
    ans -= comb(n + 1 - intv - 2, k - 1)
    print(ans % p)

Fixed submission:
n = int(input())
A = [int(x) for x in input().split()]

p = 10**9 + 7

found = {}
for i, a in enumerate(A):
    if a in found:
        dup = a
        dup_1 = found[a]
        dup_2 = i
    found[a] = i

from functools import lru_cache

@lru_cache(maxsize=None)
def gfp_inv(x, p):
    return pow(x, p - 2, p)

from itertools import chain, accumulate
memo_fact = list(chain([1], accumulate(range(1, 10**5 + 2), lambda a, x: a * x % p)))

def comb(n, m):
    if m < 0 or n < m: return 0
    if n == m: return 1
    return memo_fact[n] * gfp_inv(memo_fact[n - m], p) * gfp_inv(memo_fact[m], p) % p

intv = dup_2 - dup_1 - 1
for k in range(1, n + 2):
    ans = comb(n + 1, k)
    ans -= comb(n + 1 - intv - 2, k - 1)
    print(ans % p)