Python-----Recursive function, two-point lookup

Source: Internet
Author: User

Recursive Functions
: Call yourself yourself
Import SYS
Sys.setrecursionlimit (10000)
def func1 ():
print (666)
func1 ()
func1 ()

default maximum recursive depth 998
Import SYS
Sys.setrecursionlimit (10000)
count=0
def func1 (n):
n+=1
print (n)
func1 (n)
func1 (count)


" "
n = 1 Taibai age (1) =
n = 2nd days Age (2) = Age (1) + 2
n = 3 Wusir Age (3) = Age (2) + 2
n = 4 Alex age (4) = Age (3) + 2

" "
def Age (n):
if n==1:
return
Else:
return Age (n-1) +2
Print (age (4)) #23 +2+2+2
The following is the specific operation of the recursive function
def Age (n): #n =4
if n==1:
return
Else:
return Age (n-1) +2
Ret=age (4)
" "
def Age (N): # n=3
if n==1:
return
Else:
return Age (1) +2

def Age (n): #n =2
if n==1:
return
Else:
return Age (1) +2

def Age (): #$4$$$$
if n==1:
return
Else:
return Age (1) +2
" "

Two-point search:
the way in which the code is written.
binary Search is the simplest algorithm, compared with the classical algorithm.
1, number sequence, ordered, not duplicated.
L = [2,3,5,10,15,16,18,22,26,30,32,35,41,42,43,55,56,66,67,69,72,76,82,83,88]
print (Len (l))
print (L.index ())
count=0
For i in L:
If I ==66:
print (count)
count+=1
For i in range (Len (l)):
if l[i]==66:
print (i)
Break
Else:
print (' not found ')

target value: Aim = $
looking for intermediate index: Min_index = Len (l)//2
aim is compared with the value of the intermediate index
Aim>l[min_index]:
l[min_index+1:]
Aim<l[min_index]:
L[:min_index-1]
Aim==l[min_index]
return Min_index
L1 = [1, 3, 5, 7, 8, ten, one]
def binary_search (l1,aim):
Mid_index=len (L1)//2
if Aim >l1[mid_index]:
return Binary_search (L1[mid_index+1:],aim)
elif Aim<l1[mid_index]:
return Binary_search (L1[:mid_index],aim)
elif Aim==l1[mid_index]:
return Mid_index
Else:
return None

Print (Binary_search (l1,5))

Li = [1, 3, 5, 7, 8, ten, one]
def func (li,aim):
Mid_index=len (LI)//2
if Aim>li[mid_index]:
return func (Li[mid_index+1:],aim)
elif Aim<li[mid_index]:
return func (Li[:mid_index], aim)
elif Aim==li[mid_index]:
return Mid_index
Else:
return None
Print (func (li,10))

Li = [1, 3, 5, 7, 8, ten, one]
def binary_search (li,aim,start=0,end=none): #$$$$$$$$
End=len (LI)-1 if End is None else end
mid_index= (end-start)//2+start
if Start<=end:


if Aim >li[mid_index]:
return Binary_search (li,aim,start=mid_index+1,end=end)
elif Aim<li[mid_index]:
return Binary_search (li,aim,start=start,end=mid_index)
elif Aim==li[mid_index]:
return Mid_index
Else:
return None
Else:
return None
Print (Binary_search (li,17))



Python-----Recursive function, two-point lookup

Related Article

Contact Us

The content source of this page is from Internet, which doesn't represent Alibaba Cloud's opinion; products and services mentioned on that page don't have any relationship with Alibaba Cloud. If the content of the page makes you feel confusing, please write us an email, we will handle the problem within 5 days after receiving your email.

If you find any instances of plagiarism from the community, please send an email to: info-contact@alibabacloud.com and provide relevant evidence. A staff member will contact you within 5 working days.

A Free Trial That Lets You Build Big!

Start building with 50+ products and up to 12 months usage for Elastic Compute Service

  • Sales Support

    1 on 1 presale consultation

  • After-Sales Support

    24/7 Technical Support 6 Free Tickets per Quarter Faster Response

  • Alibaba Cloud offers highly flexible support services tailored to meet your exact needs.