Diablo Immortal Legendary Chest -> ONE 5/5 Star Legendary Gem 

Diablo Immortal Legendary Chest -> ONE 5/5 Star Legendary Gem 


Output:

1700
167
591
2447
1064
2508
2450
7834
1466
1550
350
1238
3722
726
700
161
1680
900
400
2550
464
550
1215
1050
610
403
1450
224
894
1450
100
200
1511
850
600
4100
3950
1400
1160
706
1350
940
2493
1424
728
817
168
700
749
2150
844
1692
4700
1361
1660
1495
2942
249
5679
1520
626
4062
4547
5850
632
1800
1356
900
3800
854
470
1353
730
750
84
1849
101
750
5700
1070
700
150
1446
1599
1122
273
681
1050
1495
3598
64
587
675
157
43
911
1569
4721
1509
4397
2000
1276
500
1850
550
268
509
3836
276
1508
377
556
1210
3550
4964
1030
3169
3685
481
2000
1781
259
329
291
84
411
1274
873
1750
321
2150
3815
1272
2573
150
1296
1150
650
1348
808
874
1050
3145
696
1540
1068
494
5179
2679
750
564
3900
334
1850
7000
7124
2850
159
76
3825
141
1764
2869
200
1347
375
100
73
6267
539
4411
200
55
5150
1004
2708
6600
795
900
207
1821
281
1011
800
850
5850
452
1200
1822
566
1323
23
1112
3650
4303
1188
450
138
2892
45

Python Online Compiler

Write, Run & Share Python code online using OneCompiler's Python online compiler for free. It's one of the robust, feature-rich online compilers for python language, supporting both the versions which are Python 3 and Python 2.7. Getting started with the OneCompiler's Python editor is easy and fast. The editor shows sample boilerplate code when you choose language as Python or Python2 and start coding.

Taking inputs (stdin)

OneCompiler's python online editor supports stdin and users can give inputs to programs using the STDIN textbox under the I/O tab. Following is a sample python program which takes name as input and print your name with hello.

import sys
name = sys.stdin.readline()
print("Hello "+ name)

About Python

Python is a very popular general-purpose programming language which was created by Guido van Rossum, and released in 1991. It is very popular for web development and you can build almost anything like mobile apps, web apps, tools, data analytics, machine learning etc. It is designed to be simple and easy like english language. It's is highly productive and efficient making it a very popular language.

Tutorial & Syntax help

Loops

1. If-Else:

When ever you want to perform a set of operations based on a condition IF-ELSE is used.

if conditional-expression
    #code
elif conditional-expression
    #code
else:
    #code

Note:

Indentation is very important in Python, make sure the indentation is followed correctly

2. For:

For loop is used to iterate over arrays(list, tuple, set, dictionary) or strings.

Example:

mylist=("Iphone","Pixel","Samsung")
for i in mylist:
    print(i)

3. While:

While is also used to iterate a set of statements based on a condition. Usually while is preferred when number of iterations are not known in advance.

while condition  
    #code 

Collections

There are four types of collections in Python.

1. List:

List is a collection which is ordered and can be changed. Lists are specified in square brackets.

Example:

mylist=["iPhone","Pixel","Samsung"]
print(mylist)

2. Tuple:

Tuple is a collection which is ordered and can not be changed. Tuples are specified in round brackets.

Example:

myTuple=("iPhone","Pixel","Samsung")
print(myTuple)

Below throws an error if you assign another value to tuple again.

myTuple=("iPhone","Pixel","Samsung")
print(myTuple)
myTuple[1]="onePlus"
print(myTuple)

3. Set:

Set is a collection which is unordered and unindexed. Sets are specified in curly brackets.

Example:

myset{"iPhone","Pixel","Samsung"}
print{myset}

4. Dictionary:

Dictionary is a collection of key value pairs which is unordered, can be changed, and indexed. They are written in curly brackets with key - value pairs.

Example:

mydict = {
    "brand" :"iPhone",
    "model": "iPhone 11"
}
print(mydict)

Supported Libraries

Following are the libraries supported by OneCompiler's Python compiler

NameDescription
NumPyNumPy python library helps users to work on arrays with ease
SciPySciPy is a scientific computation library which depends on NumPy for convenient and fast N-dimensional array manipulation
SKLearn/Scikit-learnScikit-learn or Scikit-learn is the most useful library for machine learning in Python
PandasPandas is the most efficient Python library for data manipulation and analysis
MatplotlibMatplotlib is a cross-platform, data visualization and graphical plotting library for Python programming and it's numerical mathematics extension NumPy