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import random
def generate_test_data(length: int, _range: tuple):
arr = []
for i in range(length):
arr.append(random.randint(_range[0], _range[1]))
return arr
def binsearch(arr: list, item):
arr = sorted(arr)
print(arr)
ubound, lbound = len(arr) - 1, 0
found = False
while not found and lbound <= ubound:
index = (lbound + ubound) // 2
if arr[index] == item:
found = True
print("Found here")
return found
if arr[index] > item:
ubound = index - 1
if arr[index] < item:
lbound = index + 1
print("not found")
return found
def linear_search_while(arr: list, item):
found: bool = False
index = 0
while not found and index < len(arr):
if (arr[index] == item):
found = True
break
index += 1
return (found, index)
def linear_search(arr: list, item):
index = 0
for _item in arr:
if _item == item:
return (True, index)
index += 1
return False
def test_existsness(samples: int):
yes = 0
no = 0
for i in range(samples):
query = random.randint(0, 100)
array = generate_test_data(100, (0, 100))
found = linear_search(array, query)
if found:
yes += 1
else:
no += 1
print(f"In {samples} samples, {yes} match, {no} don't")
def main():
narr = sorted(["A", "B", "C", "D", "E"])
print("Hello world")
array = generate_test_data(10, (0, 100))
print(array)
query = int(input("Your query for item: "))
qstring = input("String item: ")
binsearch(narr, query)
found1 = linear_search(array, query)
found2 = linear_search_while(array, query)
if found1[0]:
print("Found by for loop method ", found1[1])
else: print("Not found.")
if found2[0]:
print("Found by while loop method ", found2[1])
else:
print("Not found.")
test_existsness(100)
if __name__ == "__main__":
main()
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