Python is an amazingly user friendly language with the only flaw of being slow. In comparison to C, C++ and Java, it is quite slower. On Online coding platforms, if C/C++ limit provided is X. Usually, in Java time provided is 2X and Python, it’s 5X.
To improve the speed of code execution for input/output intensive problems, languages have various input and output procedures.
Consider a question of finding the sum of N numbers inputted from the user.
Input a number N.
Input N numbers separated by a single space in a line.
Input : 5 1 2 3 4 5 Output : 10
Normal Method Python: (Python 2.7)
1. raw_input() takes an optional prompt argument. It also strips the trailing newline character from the string it returns.
2. print is just a thin wrapper that formats the inputs (space between args and newline at the end) and calls the write function of a given object.
A bit faster method using inbuilt stdin, stdout: (Python 2.7)
1. sys.stdin on the other hand is a File Object. It is like creating any other file object one could create to read input from the file. In this case, the file will be standard input buffer.
2. stdout.write(‘D\n’) is faster than print ‘D’.
3. Even faster is to write all once by stdout.write(“”.join(list-comprehension)) but this makes memory usage dependent on size of input.
Difference in time:
Timing summary (100k lines each)
Print : 6.040 s
Write to file : 0.122 s
Print with Stdout : 0.121 s
Adding a buffered pipe io: (Python 2.7)
1. Simply, adding the buffered IO code before your submission code to make the output faster.
2. The benefit of io.BytesIO objects is that they implement a common-ish interface (commonly known as a ‘file-like’ object). BytesIO objects have an internal pointer and for every call to read(n) the pointer advances.
3. The atexit module provides a simple interface to register functions to be called when a program closes down normally. The sys module also provides a hook, sys.exitfunc, but only one function can be registered there. The atexit registry can be used by multiple modules and libraries simultaneously.
While handling large amount of data usually, the normal method fails to execute within the time limit. The method 2 helps in maintaining the large amount of I/O data. The method 3 is fastest. Usually, handling of input data file greater than 2 or 3 MBs is helped via method 2 and 3.
Note : above mention codes are in Python 2.7, to use in Python 3.X versions. Simply replace the raw_input() with Python 3.X’s input() syntax. Rest should work fine.
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