Supply chain programming (P-median location problem in python)

I have a formulation, and I need to edit it. Could you please help me with it? by removing the warehouses :

from __future__ import print_function
import sys
from ortools.constraint_solver import pywrapcp


def main():

# Create the solver.
solver = pywrapcp.Solver('P-median problem')

#
# data
#
p = 2

num_customers = 4
customers = list(range(num_customers))
Albert, Bob, Chris, Daniel = customers
num_warehouses = 3
warehouses = list(range(num_warehouses))
Santa_Clara, San_Jose, Berkeley = warehouses

demand = [100, 80, 80, 70]
distance = [[2, 10, 50], [2, 10, 52], [50, 60, 3], [40, 60, 1]]

#
# declare variables
#
open = [solver.IntVar(warehouses, 'open[%i]% % i') for w in warehouses]
ship = {}
for c in customers:
for w in warehouses:
ship[c, w] = solver.IntVar(0, 1, 'ship[%i,%i]' % (c, w))
ship_flat = [ship[c, w] for c in customers for w in warehouses]

z = solver.IntVar(0, 1000, 'z')

#
# constraints
#
z_sum = solver.Sum([
demand[c] * distance[c][w] * ship[c, w]
for c in customers
for w in warehouses
])
solver.Add(z == z_sum)

for c in customers:
s = solver.Sum([ship[c, w] for w in warehouses])
solver.Add(s == 1)

solver.Add(solver.Sum(open) == p)

for c in customers:
for w in warehouses:
solver.Add(ship[c, w] <= open[w])

# objective
objective = solver.Minimize(z, 1)

#
# solution and search
#
db = solver.Phase(open + ship_flat, solver.INT_VAR_DEFAULT,
solver.INT_VALUE_DEFAULT)

solver.NewSearch(db, [objective])

num_solutions = 0
while solver.NextSolution():
num_solutions += 1
print('z:', z.Value())
print('open:', [open[w].Value() for w in warehouses])
for c in customers:
for w in warehouses:
print(ship[c, w].Value(), end=' ')
print()
print()

print('num_solutions:', num_solutions)
print('failures:', solver.Failures())
print('branches:', solver.Branches())
print('WallTime:', solver.WallTime(), 'ms')


if __name__ == '__main__':
main()