Buggy python submission (verdict: Runtime Error):
from itertools import product
from itertools import combinations
import numpy as np

def resolve():
  N, M, X = map(int, input().split(" "))

  books = []
  for i in range(N):
    CA = [int(x) for x in input().split(" ")]
    books.append(CA)

  books = np.array(books).reshape([N, M + 1])

  books_index_pattarns = [list(x) for i in range(1, N) for x in combinations(range(0, N), i)]
  books_result = np.array([np.sum(books[x], axis=0) for x in books_index_pattarns])
  books_result = books_result[np.all(books_result[:,1:] >= X, axis=1)]
  # books_result = books_result[np.all(books_result[:,1:] >= X, axis=1)][:,:1]

  if len(books_result) == 0:
    print(-1)
    return True
  elif len(books_result) == 1:
    print(books_result[0])
    return True
  else:
    print(books_result[:,:1].min())
    return True

if __name__ == "__main__":
    resolve()

Fixed submission:
from itertools import product
from itertools import combinations
import numpy as np

def resolve():
  N, M, X = map(int, input().split(" "))

  books = []
  for i in range(N):
    CA = [int(x) for x in input().split(" ")]
    books.append(CA)

  books = np.array(books)


  if N == 1:
    if np.all(books[:, 1:] >= X):
      print(books[0][0])
    else:
      print(-1)
    return True
  books_index_pattarns = [list(x) for i in range(1, N+1) for x in combinations(range(0, N), i)]
  books_result = np.array([np.sum(books[x], axis=0) for x in books_index_pattarns])
  books_result = books_result[np.all(books_result[:,1:] >= X, axis=1)]

  if len(books_result) == 0:
    print(-1)
    return True
  elif len(books_result) == 1:
    print(books_result[0][0])
    return True
  else:
    # print(books_result)
    print(books_result[:,:1].min())
    return True

if __name__ == "__main__":
    resolve()

Buggy python submission (verdict: Runtime Error):
from math import gcd
from functools import reduce
from itertools import product
from itertools import combinations
import numpy as np

def resolve():
  N, M, X = map(int, input().split(" "))

  books = []
  for i in range(N):
    CA = [int(x) for x in input().split(" ")]
    books.append(CA)

  books = np.array(books)

  books_index_pattarns = [list(x) for i in range(1, N) for x in combinations(range(0, N), i)]
  books_result = np.array([np.sum(books[x], axis=0) for x in books_index_pattarns])
  books_result = books_result[np.all(books_result[:,1:] >= X, axis=1)][:,:1]
  if len(books_result) == 0:
    print("-1")
    return True
  else:
    print(books_result.min())
    return True

if __name__ == "__main__":
    resolve()

Fixed submission:
from itertools import product
from itertools import combinations
import numpy as np

def resolve():
  N, M, X = map(int, input().split(" "))

  books = []
  for i in range(N):
    CA = [int(x) for x in input().split(" ")]
    books.append(CA)

  books = np.array(books)


  if N == 1:
    if np.all(books[:, 1:] >= X):
      print(books[0][0])
    else:
      print(-1)
    return True
  books_index_pattarns = [list(x) for i in range(1, N+1) for x in combinations(range(0, N), i)]
  books_result = np.array([np.sum(books[x], axis=0) for x in books_index_pattarns])
  books_result = books_result[np.all(books_result[:,1:] >= X, axis=1)]

  if len(books_result) == 0:
    print(-1)
    return True
  elif len(books_result) == 1:
    print(books_result[0][0])
    return True
  else:
    # print(books_result)
    print(books_result[:,:1].min())
    return True

if __name__ == "__main__":
    resolve()

Buggy python submission (verdict: Runtime Error):
def resolve():
  N, M, X = map(int, input().split(" "))

  books = []
  for i in range(N):
    CA = [int(x) for x in input().split(" ")]
    books.append(CA)

  books = np.array(books)

  books_index_pattarns = [list(x) for i in range(1, N) for x in combinations(range(0, N), i)]
  books_result = np.array([np.sum(books[x], axis=0) for x in books_index_pattarns])
  # books_result = books_result[np.all(books_result[:,1:] >= X, axis=1)]
  books_result = books_result[np.all(books_result[:,1:] >= X, axis=1)][:,:1]
  if len(books_result) == 0:
    print("-1")
    return True
  else:
    print(books_result.min())
    return True

if __name__ == "__main__":
    resolve()

Fixed submission:
from itertools import product
from itertools import combinations
import numpy as np

def resolve():
  N, M, X = map(int, input().split(" "))

  books = []
  for i in range(N):
    CA = [int(x) for x in input().split(" ")]
    books.append(CA)

  books = np.array(books)


  if N == 1:
    if np.all(books[:, 1:] >= X):
      print(books[0][0])
    else:
      print(-1)
    return True
  books_index_pattarns = [list(x) for i in range(1, N+1) for x in combinations(range(0, N), i)]
  books_result = np.array([np.sum(books[x], axis=0) for x in books_index_pattarns])
  books_result = books_result[np.all(books_result[:,1:] >= X, axis=1)]

  if len(books_result) == 0:
    print(-1)
    return True
  elif len(books_result) == 1:
    print(books_result[0][0])
    return True
  else:
    # print(books_result)
    print(books_result[:,:1].min())
    return True

if __name__ == "__main__":
    resolve()

Buggy python submission (verdict: Runtime Error):
from itertools import combinations
import numpy as np

def resolve():
  N, M, X = map(int, input().split(" "))

  books = []
  for i in range(N):
    CA = [int(x) for x in input().split(" ")]
    books.append(CA)

  books = np.array(books)

  books_index_pattarns = [list(x) for i in range(1, N) for x in combinations(range(0, N), i)]
  books_result = np.array([np.sum(books[x], axis=0) for x in books_index_pattarns])
  books_result = books_result[np.all(books_result[:,1:] >= X, axis=1)][:,:1]
  if len(books_result) == 0:
    print("-1")
    return True
  else:
    print(books_result.min())

if __name__ == "__main__":
    resolve()

Fixed submission:
from itertools import product
from itertools import combinations
import numpy as np

def resolve():
  N, M, X = map(int, input().split(" "))

  books = []
  for i in range(N):
    CA = [int(x) for x in input().split(" ")]
    books.append(CA)

  books = np.array(books)


  if N == 1:
    if np.all(books[:, 1:] >= X):
      print(books[0][0])
    else:
      print(-1)
    return True
  books_index_pattarns = [list(x) for i in range(1, N+1) for x in combinations(range(0, N), i)]
  books_result = np.array([np.sum(books[x], axis=0) for x in books_index_pattarns])
  books_result = books_result[np.all(books_result[:,1:] >= X, axis=1)]

  if len(books_result) == 0:
    print(-1)
    return True
  elif len(books_result) == 1:
    print(books_result[0][0])
    return True
  else:
    # print(books_result)
    print(books_result[:,:1].min())
    return True

if __name__ == "__main__":
    resolve()