# Searching a key on a B-tree in Python
# Create a node
class BTreeNode:
def __init__(self, leaf=False):
self.leaf = leaf
self.keys = []
self.child = []
# Tree
class BTree:
def __init__(self, t):
self.root = BTreeNode(True)
self.t = t
# Insert node
def insert(self, k):
root = self.root
if len(root.keys) == (2 * self.t) - 1:
temp = BTreeNode()
self.root = temp
temp.child.insert(0, root)
self.split_child(temp, 0)
self.insert_non_full(temp, k)
else:
self.insert_non_full(root, k)
# Insert nonfull
def insert_non_full(self, x, k):
i = len(x.keys) - 1
if x.leaf:
x.keys.append((None, None))
while i >= 0 and k[0] < x.keys[i][0]:
x.keys[i + 1] = x.keys[i]
i -= 1
x.keys[i + 1] = k
else:
while i >= 0 and k[0] < x.keys[i][0]:
i -= 1
i += 1
if len(x.child[i].keys) == (2 * self.t) - 1:
self.split_child(x, i)
if k[0] > x.keys[i][0]:
i += 1
self.insert_non_full(x.child[i], k)
# Split the child
def split_child(self, x, i):
t = self.t
y = x.child[i]
z = BTreeNode(y.leaf)
x.child.insert(i + 1, z)
x.keys.insert(i, y.keys[t - 1])
z.keys = y.keys[t: (2 * t) - 1]
y.keys = y.keys[0: t - 1]
if not y.leaf:
z.child = y.child[t: 2 * t]
y.child = y.child[0: t - 1]
# Print the tree
def print_tree(self, x, l=0):
print("Level ", l, " ", len(x.keys), end=":")
for i in x.keys:
print(i, end=" ")
print()
l += 1
if len(x.child) > 0:
for i in x.child:
self.print_tree(i, l)
# Search key in the tree
def search_key(self, k, x=None):
if x is not None:
i = 0
while i < len(x.keys) and k > x.keys[i][0]:
i += 1
if i < len(x.keys) and k == x.keys[i][0]:
return (x, i)
elif x.leaf:
return None
else:
return self.search_key(k, x.child[i])
else:
return self.search_key(k, self.root)
def main():
B = BTree(3)
for i in range(10):
B.insert((i, 2 * i))
B.print_tree(B.root)
if B.search_key(8) is not None:
print("\nFound")
else:
print("\nNot Found")
if __name__ == '__main__':
main()