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Exercise: even sum, threshold segmentation and difference (two basic questions of list object)
2022-04-23 17:29:00 【Dream spirit_ cq】
Python Official website : https://www.python.org/
here , only python the front . Unfortunately, it's the original English version . therefore , I want to practice English reading .🧐🧐
Self study is not a mysterious thing , A person's self-study time is always longer than that in school , There are always more times when there are no teachers than when there are teachers .
—— Hua Luogeng
note : Even sum 、 Threshold segmentation and subtraction ( list Two basic questions of the object )
One 、 Even sum
Code
def sum_of_evens(*evens):
''' Find the sum of even numbers in the input vector '''
tem_lis = []
for i in evens:
if str(i).isdigit() is False:
tem_lis.extend(list(i)) # Cluster collection .
else:
tem_lis.append(i) # Single parameter collection .
tem = []
for i in tem_lis:
if i % 2 == 0: # Remove the odd number .
tem.append(i)
return sum(tem) # Return and value .
print(cut_line(), color(1, 'f_green')) # Print split lines .
print(f"{
'':>8} Pass it on directly , Output :{
sum_of_evens(1, 3, 6, 9)}") # Pass it on directly .
s = sum_of_evens # Alias function .
print(f"\n\n{
'':>8}list Cluster transmission parameters , Output :{
s([1, 9, 8, 10, 13])}") # Cluster transmission parameters .
print(f"\n\n{
'':>8}tuple The ginseng , Output :{
s((1, 9, 8, 5, 12, 10, 13))}") # Cluster transmission parameters .
print(f"\n\n{
'':>8}list Mixed transmission , Output :{
s(1, 2, [1, 8, 10, 13], 3, 8)}") # Single 、 Cluster mixed transmission .
print(f"\n\n{
'':>8}tuple Mixed transmission , Output :{
s(1, 2, (1, 8, 13), 3, 8)}") # Single 、 Cluster mixed transmission .
print(f"{
color(0)}{
cut_line()}") # Print split lines .
wait()
Running effect
Two 、 Threshold segmentation and subtraction
Code
def difference_between_L(n, L=0):
''' Returns the absolute value of the difference between the sum of the new set divided by the threshold , If there are two threshold elements in the input set , Split with first out .'''
tem, tem2 = [], [] # Initialize new collection .
flag = False # The initial value of the partition ID is false .
for i in n:
if i == L:
flag = True # Segmentation threshold encountered , Set the division mark to true .
print(f"\n Segmentation threshold :{
L}")
L = '' # Set null character , Avoid not collecting the segmentation threshold of the second occurrence .
continue # End this cycle , To avoid collecting segmentation thresholds .
if flag is True:
tem2.append(i)
else:
tem.append(i)
print(f"\n Split set :\n\n{
tem},{
tem2}")
return abs(sum(tem) - sum(tem2))
db_L = difference_between_L # Alias function .
n = 2, 5, 2, 6, 0, 2, 7, 6, 0, 17, 3
print(cut_line())
print(f"{
cut_line()}{
'':>4} Input :{
n}\
\n\n{
'':>16} Output :{
color(db_L(n, 7), 'f_green')}{
cut_line()}")
wait()
Running effect
complete Python Code
My solution to the problem , Code comments have been incorporated , I won't repeat it in my blog .
( If you can't make clear the function from the statement annotation , Please leave a message in the comment area for advice and discussion .)
#!/sur/bin/env python
# coding: utf-8
''' filename: /sdcard/qpython/tem.py The dream spirit _cq Code yard '''
from mypythontools import color, wait, cut_line # Load the function to be used in the required code module from the self code tool module .
def sum_of_evens(*evens):
''' Find the sum of even numbers in the input vector '''
tem_lis = []
for i in evens:
if str(i).isdigit() is False:
tem_lis.extend(list(i)) # Cluster collection .
else:
tem_lis.append(i) # Single parameter collection .
tem = []
for i in tem_lis:
if i % 2 == 0: # Remove the odd number .
tem.append(i)
return sum(tem) # Return and value .
print(cut_line(), color(1, 'f_green')) # Print split lines .
print(f"{
'':>8} Pass it on directly , Output :{
sum_of_evens(1, 3, 6, 9)}") # Pass it on directly .
s = sum_of_evens # Alias function .
print(f"\n\n{
'':>8}list Cluster transmission parameters , Output :{
s([1, 9, 8, 10, 13])}") # Cluster transmission parameters .
print(f"\n\n{
'':>8}tuple The ginseng , Output :{
s((1, 9, 8, 5, 12, 10, 13))}") # Cluster transmission parameters .
print(f"\n\n{
'':>8}list Mixed transmission , Output :{
s(1, 2, [1, 8, 10, 13], 3, 8)}") # Single 、 Cluster mixed transmission .
print(f"\n\n{
'':>8}tuple Mixed transmission , Output :{
s(1, 2, (1, 8, 13), 3, 8)}") # Single 、 Cluster mixed transmission .
print(f"{
color(0)}{
cut_line()}") # Print split lines .
wait()
def difference_between_L(n, L=0):
''' Returns the absolute value of the difference between the sum of the new set divided by the threshold , If there are two threshold elements in the input set , Split with first out .'''
tem, tem2 = [], [] # Initialize new collection .
flag = False # The initial value of the partition ID is false .
for i in n:
if i == L:
flag = True # Segmentation threshold encountered , Set the division mark to true .
print(f"\n Segmentation threshold :{
L}")
L = '' # Set null character , Avoid not collecting the segmentation threshold of the second occurrence .
continue # End this cycle , To avoid collecting segmentation thresholds .
if flag is True:
tem2.append(i)
else:
tem.append(i)
print(f"\n Split set :\n\n{
tem},{
tem2}")
return abs(sum(tem) - sum(tem2))
db_L = difference_between_L # Alias function .
n = 2, 5, 2, 6, 0, 2, 7, 6, 0, 17, 3
print(cut_line())
print(f"{
cut_line()}{
'':>4} Input :{
n}\
\n\n{
'':>16} Output :{
color(db_L(n, 7), 'f_green')}{
cut_line()}")
wait()
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https://yzsam.com/2022/04/202204231722007760.html
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