Return or raise value error in python hackerrank solution

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# Exceptions
# Exceptions
# Errors detected during execution are called exceptions.
# Examples:
# ZeroDivisionError
# This error is raised when the second argument of a division or modulo operation is zero.
# ValueError
# This error is raised when a built-in operation or function receives an argument that has the right type but an inappropriate value.
# Handling Exceptions
# The statements try and except can be used to handle selected exceptions. A try statement may have more than one except clause to
# specify handlers for different exceptions.
# Output
# Error Code: integer division or modulo by zero
# Task
# You are given two values a and b.
# Perform integer division and print a/b.
# Input Format
# The first line contains T, the number of test cases.
# The next T lines each contain the space separated values of a and b.
# Constraints
# 0 < T < 10
# Output Format
# Print the value of a/b.
# In the case of ZeroDivisionError or ValueError, print the error code.
# Enter your code here. Read input from STDIN. Print output to STDOUT
N = int(raw_input())
a = []
for i in range(N):
a.append(raw_input().split())
for j in range(len(a)):
try:
print int(a[j][0])//int(a[j][1])
except ZeroDivisionError as e:
print "Error Code:", e
except ValueError as f:
print "Error Code:", f

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Exceptions in Python - HackerRank Solution



Problem:

Exceptions
Errors detected during execution are called exceptions.

Example :

ZeroDivisionError

This error is raised when the second argument of a division or modulo operation is zero.

>>> a = '1'
>>> b = '0'
>>> print int(a) / int(b)
>>> ZeroDivisionError: integer division or modulo by zero

ValueError

This error is raised when a built-in operation or function receives an argument that has the right type but an inappropriate value.

>>> a = '1'
>>> b = '#'
>>> print int(a) / int(b)
>>> ValueError: invalid literal for int() with base 10: '#'

To learn more about different built-in exceptions click here.

Handling Exceptions

The statements try and except can be used to handle selected exceptions. A try statement may have more than one except clause to specify handlers for different exceptions.

#Code
try:
    print 1/0
except ZeroDivisionError as e:
    print "Error Code:",e

Output

Error Code: integer division or modulo by zero

Task :

You are given two values a and b.

Perform integer division and print a//b.

Input Format :

The first line contains T, the number of test cases.

The next T lines each contain the space separated values of a and b.

Constraints :

  • 0 < T < 10

Output Format :

Print the value of a//b.

In the case of ZeroDivisionError or ValueError, print the error code.

Sample Input :

Sample Output :

Error Code: integer division or modulo by zero
Error Code: invalid literal for int() with base 10: '$'
3

Note :

For integer division in Python 3 use //.


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# Exceptions in Python - Hacker Rank Solution
# Python 3
# Enter your code here. Read input from STDIN. Print output to STDOUT
# Exceptions in Python - Hacker Rank Solution START
x = int(input());
for i in range(x):
    try:
        a, b = input().split()
        print(int(a)//int(b))
    except ZeroDivisionError as e:
        print("Error Code:",e);
    except ValueError as v:
        print("Error Code:",v);
# Exceptions in Python - Hacker Rank Solution END

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How do you raise a value error in Python?

Use the syntax raise exception with exception as ValueError(text) to throw a ValueError exception with the error message text ..
num = int("string").
except ValueError:.
raise ValueError("ValueError exception thrown").

How do you return an error in Python?

In python code, error conditions are usually indicated with exceptions. You could use raise ValueError("Arrays must have the same size") . Using exception rather than return values to indicate errors has the added advantage that the exception would bubble up until it reaches a except statement.

Can I raise and return Python?

You can't raise and return , but you could return multiple values, where the first is the same as what you're currently using, and the second indicates if an exception arose return True, sys. exc_info() == (None, None, None) or something similar but better suited to context.

What does raising an error mean in Python?

When programmers refer to raise an error it means to catch an unexpected behaviour what something goes wrong. As a simple example in Python: int('a') >> ----> 1 int('a') ValueError: invalid literal for int() with base 10: 'a'