'''
    SNSS Session File Parser for PyBrinf
    This module parses SNSS files and returns a list of current tabs.
    Script made by Manuel Cabral
'''

import os, struct
from io import StringIO, BytesIO
from enum import Enum, EnumMeta

class MetaEnum(EnumMeta):
    '''This class is used for creating an enum with a custom __contains__ method'''
    def __contains__(cls, item: int) -> bool:
        try:
            cls(item)
        except ValueError:
            return False
        return True    

class SNSSTypeCommand(Enum, metaclass=MetaEnum):
    '''Enum for SNSS command types'''
    CommandSetTabWindow = 0
    CommandSetTabIndexInWindow = 2
    CommandTabClosed = 3
    CommandWindowClosed = 4
    CommandTabNavigationPathPrunedFromBack = 5
    CommandUpdateTabNavigation = 6
    CommandSetSelectedNavigationIndex = 7
    CommandSetSelectedTabInIndex = 8
    CommandSetWindowType = 9
    CommandTabNavigationPathPrunedFromFront = 11
    CommandSetPinnedState = 12
    CommandSetExtensionAppID = 13
    CommandSetWindowBounds3 = 14


class SNSSCommand:
    '''Command class core'''
    def __init__(self, id: int, content: bytes):
        self.id = id
        self.content = content

def parse_commands(commands):
    output = []
    for command in commands:
        if command.id in SNSSTypeCommand:
            if command.id == SNSSTypeCommand.CommandUpdateTabNavigation.value:

                # Extracting the pickle payload
                content = BytesIO(command.content)

                # Get the size of the pickle
                content.seek(0, os.SEEK_END)
                pickle_size = content.tell()
                content.seek(0, os.SEEK_SET)

                # Get the size of the payload, unpacking uint32
                payload_size, = struct.unpack('I', content.read(4))
                payloard_start = pickle_size - payload_size

                # Get the payload, unpacking uint32
                tab_id, = struct.unpack('I', content.read(4))
                index, = struct.unpack('I', content.read(4))

                # Get the url size, unpacking uint32
                str_length, = struct.unpack('I', content.read(4))
                # If the url size is more than the difference between 
                # the pickle size and the current position, it's invalid
                if str_length > pickle_size - content.tell():
                    raise Exception("Invalid string length")
                url = content.read(str_length).decode('utf-8', 'ignore')

                output.append((tab_id, index, url))
    return output

def parse(path):
    # Parse a SNSS Session File to get all commands
    commands = []
    file = open(path, 'rb')

    # Getting file size
    file.seek(0, os.SEEK_END)
    end = file.tell()
    file.seek(0, os.SEEK_SET)

    # Reading signature, unpacking int32
    signature, = struct.unpack('i', file.read(4))
    if signature != 0x53534E53: # SNSS
        raise Exception("Invalid SNSS file")
        
    # Reading version version, unpacking int32
    version, = struct.unpack('i', file.read(4))

    while end - file.tell() > 0:
        # Read command size, unpacking uint16
        command_size, = struct.unpack('H', file.read(2))
        if command_size == 0:
            raise Exception("Invalid command size, maybe corrupted file")
        
        # Read command id, unpacking uint8
        id, = struct.unpack('B', file.read(1))

        # Read content, NOTE: command id is included in command_size
        content = file.read(command_size - 1)

        command = SNSSCommand(id, content)
        commands.append(command)

    file.close()
    return commands

if __name__ == '__main__':
    commands = parse('Session')
    # for now only gets the tab navigation
    tabs = parse_commands(commands)
    for tab in tabs:
        print(tab) 

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
DOcplexDOcplex is IBM Decision Optimization CPLEX Modeling for Python, is a library composed of Mathematical Programming Modeling and Constraint Programming Modeling