pip install base45 cbor2 import sys import zlib from base45 import b45decode from cbor2 import loads from datetime import datetime from json import dumps from pprint import pprint def pretty_print(data): print(dumps(data, sort_keys=True, indent=4)) def decode_data(data): bytes = b45decode(str(data)) dec = zlib.decompress(bytes) return dec def read_data(file): with open(file, "r") as myfile: data=myfile.read() return data def write_binfile(filename, dec): with open(filename, 'wb') as myfile: myfile.write(dec) def get_kid(value): try: # 'kid': {4: b'{\x89G\xe8\x8e"0\x83'} # convert it to be printable kid = value[4].hex() except: kid = str(value[4]) return kid def convert_timestamp(s): try: return datetime.utcfromtimestamp(int(s)).strftime('%Y-%m-%d %H:%M:%S') except Exception as e: return s def get_dgc(cbor): data = loads(cbor) # replace meaningless unix timestamps with readable timestamps data[4] = convert_timestamp(data[4]) data[6] = convert_timestamp(data[6]) return data data = read_data("qr-code.rtf") if data[0:4] != 'HC1:': print('Unsupported format in the input file.') sys.exit(1) dec = decode_data(data[4:]) cbortag = loads(dec) dgc = { 'tag': cbortag.tag, 'alg': loads(cbortag.value[0]), 'kid': get_kid(cbortag.value[1]), 'dgc': get_dgc(cbortag.value[2]), 'signature': cbortag.value[3].hex(), } pretty_print(dgc) #! /usr/bin/env python3 import json import sys import zlib import base45 import cbor2 from cose.messages import CoseMessage payload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print("decoding payload: "+ payload) # decode Base45 (remove HC1: prefix) decoded = base45.b45decode(payload) # decompress using zlib decompressed = zlib.decompress(decoded) # decode COSE message (no signature verification done) cose = CoseMessage.decode(decompressed) # decode the CBOR encoded payload and print as json print(json.dumps(cbor2.loads(cose.payload), indent=2))
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.
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)
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.
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
Indentation is very important in Python, make sure the indentation is followed correctly
For loop is used to iterate over arrays(list, tuple, set, dictionary) or strings.
mylist=("Iphone","Pixel","Samsung")
for i in mylist:
print(i)
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
There are four types of collections in Python.
List is a collection which is ordered and can be changed. Lists are specified in square brackets.
mylist=["iPhone","Pixel","Samsung"]
print(mylist)
Tuple is a collection which is ordered and can not be changed. Tuples are specified in round brackets.
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)
Set is a collection which is unordered and unindexed. Sets are specified in curly brackets.
myset = {"iPhone","Pixel","Samsung"}
print(myset)
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.
mydict = {
"brand" :"iPhone",
"model": "iPhone 11"
}
print(mydict)
Following are the libraries supported by OneCompiler's Python compiler
Name | Description |
---|---|
NumPy | NumPy python library helps users to work on arrays with ease |
SciPy | SciPy is a scientific computation library which depends on NumPy for convenient and fast N-dimensional array manipulation |
SKLearn/Scikit-learn | Scikit-learn or Scikit-learn is the most useful library for machine learning in Python |
Pandas | Pandas is the most efficient Python library for data manipulation and analysis |
DOcplex | DOcplex is IBM Decision Optimization CPLEX Modeling for Python, is a library composed of Mathematical Programming Modeling and Constraint Programming Modeling |