You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
155 lines
5.7 KiB
155 lines
5.7 KiB
"""
|
|
Analytical Skills
|
|
Opgave: zoeken
|
|
|
|
(c) 2019 Hogeschool Utrecht
|
|
Tijmen Muller (tijmen.muller@hu.nl)
|
|
|
|
|
|
Let op! Je mag voor deze opgave geen extra modules importeren met 'import'.
|
|
"""
|
|
|
|
|
|
def linear_search(lst, target):
|
|
""" Bepaalt of *target* voorkomt in lijst *lst* door middel van lineair zoeken. """
|
|
return False
|
|
|
|
|
|
def linear_search_index(lst, target):
|
|
""" Geeft de positie (m.a.w. index) van *target* in lijst *lst* d.m.v. lineair zoeken. """
|
|
index = 0
|
|
return -1
|
|
|
|
|
|
def linear_search_index_steps(lst, target):
|
|
"""
|
|
Geeft de positie (m.a.w. index) van *target* in lijst *lst*
|
|
d.m.v. lineair zoeken, en het aantal benodigde stappen.
|
|
"""
|
|
index = 0
|
|
steps = 0
|
|
return -1, steps
|
|
|
|
|
|
def binary_search(lst, target):
|
|
""" Bepaalt of *target* voorkomt in lijst *lst* door middel van binair zoeken. """
|
|
# stap 1
|
|
mini = 0
|
|
|
|
# stap 6(!)
|
|
while False: # hoelang ga je door met zoeken?
|
|
# stap 2
|
|
# stap 3
|
|
return True
|
|
# stap 4
|
|
# stap 5
|
|
|
|
return False
|
|
|
|
|
|
def binary_search_index(lst, target):
|
|
""" Geeft de positie (m.a.w. index) van *target* in lijst *lst* d.m.v. binair zoeken. """
|
|
return -1
|
|
|
|
|
|
def binary_search_index_steps(lst, target):
|
|
"""
|
|
Geeft de positie (m.a.w. index) van *target* in lijst *lst* d.m.v. binair zoeken,
|
|
en het aantal benodigde stappen.
|
|
"""
|
|
steps = 0
|
|
return (-1, steps)
|
|
|
|
|
|
"""==============================================[ HU TESTRAAMWERK ]====================================================
|
|
Onderstaand staan de tests voor je code -- hieronder mag je niets wijzigen!
|
|
Je kunt je code testen door deze file te runnen of met behulp van pytest.
|
|
"""
|
|
import random
|
|
|
|
|
|
def test_linear_search():
|
|
for i in range(10):
|
|
lst_test = random.sample(range(20), 10)
|
|
target = random.randrange(20)
|
|
assert linear_search(lst_test, target) == (target in lst_test), "Fout: linear_search({}, {}) geeft {} in plaats van {}".format(lst_test, target, linear_search(lst_test, target), target in lst_test)
|
|
|
|
|
|
def test_linear_search_index():
|
|
for i in range(10):
|
|
lst_test = random.sample(range(20), 10)
|
|
target = random.choice(lst_test)
|
|
assert linear_search_index(lst_test, target) == lst_test.index(target), "Fout: linear_search_index({}, {}) geeft {} in plaats van {}".format(lst_test, target, linear_search_index(lst_test, target), lst_test.index(target))
|
|
|
|
lst_test = [0, 1, 2]
|
|
assert linear_search_index(lst_test, 3) == -1, "Fout: linear_search_index({}, {}) geeft {} in plaats van {}".format(lst_test, 3, linear_search_index(lst_test, 3), -1)
|
|
|
|
|
|
def test_linear_search_index_steps():
|
|
for i in range(10):
|
|
lst_test = random.sample(range(20), 10)
|
|
target = random.choice(lst_test)
|
|
assert linear_search_index_steps(lst_test, target)[0] == lst_test.index(target), "Fout: linear_search_index_steps({}, {}) geeft {} in plaats van {}".format(lst_test, target, linear_search_index_steps(lst_test, target)[0], lst_test.index(target))
|
|
|
|
|
|
def test_binary_search():
|
|
for i in range(10):
|
|
lst_test = sorted(random.sample(range(20), 10))
|
|
target = random.randrange(20)
|
|
assert binary_search(lst_test, target) == (target in lst_test), "Fout: binary_search({}, {}) geeft {} in plaats van {}".format(lst_test, target, binary_search(lst_test, target), target in lst_test)
|
|
|
|
|
|
def test_binary_search_index():
|
|
for i in range(10):
|
|
lst_test = sorted(random.sample(range(20), 10))
|
|
target = random.choice(lst_test)
|
|
assert binary_search_index(lst_test, target) == lst_test.index(target), "Fout: binary_search_index({}, {}) geeft {} in plaats van {}".format(lst_test, target, binary_search_index(lst_test, target), lst_test.index(target))
|
|
|
|
lst_test = [0, 1, 2]
|
|
assert binary_search_index(lst_test, 3) == -1, "Fout: binary_search_index({}, {}) geeft {} in plaats van {}".format(lst_test, 3, binary_search_index(lst_test, 3), -1)
|
|
|
|
|
|
def test_binary_search_index_steps():
|
|
for i in range(10):
|
|
lst_test = sorted(random.sample(range(20), 10))
|
|
target = random.choice(lst_test)
|
|
assert binary_search_index_steps(lst_test, target)[0] == lst_test.index(target), "Fout: binary_search_index_steps({}, {}) geeft {} in plaats van {}".format(lst_test, target, binary_search_index_steps(lst_test, target)[0], lst_test.index(target))
|
|
|
|
|
|
if __name__ == '__main__':
|
|
try:
|
|
print("\x1b[0;32m")
|
|
|
|
test_linear_search()
|
|
print("Je functie linear_search() werkt goed!")
|
|
|
|
test_linear_search_index()
|
|
print("Je functie linear_search_index() werkt goed!")
|
|
|
|
test_binary_search()
|
|
print("Je functie binary_search() werkt goed!")
|
|
|
|
test_binary_search_index()
|
|
print("Je functie binary_search_index() werkt goed!")
|
|
|
|
test_linear_search_index_steps()
|
|
print("Je functie linear_search_index_steps() werkt goed!")
|
|
|
|
test_binary_search_index_steps()
|
|
print("Je functie binary_search_index_steps() werkt goed!")
|
|
|
|
print("\x1b[0;30m")
|
|
size = int(input("Geef een grootte voor de lijst: "))
|
|
lst_test = list(range(size))
|
|
print("Ik ga zoeken in:", lst_test)
|
|
tgt = int(input("Geef een getal: "))
|
|
|
|
(idx, cnt) = linear_search_index_steps(lst_test, tgt)
|
|
print("Het lineair zoekalgoritme vond '" + str(tgt) + "' op positie '" + str(idx) + "' na " + str(cnt) + " stappen.")
|
|
|
|
(idx, cnt) = binary_search_index_steps(lst_test, tgt)
|
|
print("Het binair zoekalgoritme vond '" + str(tgt) + "' op positie '" + str(idx) + "' na " + str(cnt) + " stappen.")
|
|
|
|
except AssertionError as ae:
|
|
print("\x1b[0;31m")
|
|
print(str(ae))
|