Developer Notes

Projects, Sample snippets, code-related stuff to learn, resolve, and fix errors that come in the routine life of a programmer.

Search This Blog

Showing posts with the label Sound

View all

Posts

How to develop a Python Speech recognition project like Jarvis on Mac OS X

Get link
Facebook
X
Pinterest
Email
Other Apps

python
learn
code
example
fast learn
program
snippet
understand
quick
CTF

Pentesting
Cryptography
security
InCTF
Metasploit
solution
solve
RSA
algorithm
linux
scala
setup
spark
Factorization
Reverse
Reverse Engineering
Web Application Testing
XML
bash
json
pandas
scrapy
sleep sort
socket
ubuntu
Baby Step Giant Step Algorithm
Berlekamp–Massey algorithm
Burp Suite
C
Crypto 100 - XOR decipher
Discrete Logarithm Problem
Fast Exponentiation Algorithms
Fermat Theorem
Forensics
Georgia Weidman
JavaScript
LFSR
Mac
Networking
Notes
Programming
Sound
SpeechRecognition
Sqlite3
Stegnography
Vmware Network
answers
atomac
automation
aws
classification
comparator
connection
crypt
date conversion
decipher
django
dpkt
elb
error
example code
examples
excel file
file
frequency
fun
getpass
html
identification
identify
iframe
install
installation
instructions
interview
java
js
low public exponent attack
mysql
n-grams
netcat
nginx
oracle
parsing
port scanner
project
pwd
q&a
question
read
reason
sample
sets
spark-sql
sql
steps
sys
this
timeout
urlparse
uwsgi
web security
wikipedia
windows
write

Show more Show less

How to implement a Berlekamp–Massey algorithm? Explained with easy example

The Berlekamp–Massey algorithm is an algorithm that will find the shortest linear feedback shift register for a given binary output sequence. The algorithm will also find the minimal polynomial of a linearly recurrent sequence in an arbitrary field. I have used sage for computing this program. How to implement a Berlekamp–Massey algorithm? Explained with easy example # Berlekamp-Massey Algorithm #from __future__ import print_function s = [GF(2)(0), 0, 1, 0, 0, 0, 0, 0, 1, 1, 0] #input sequence n = len(s) C = [GF(2)(1)] B = [GF(2)(1)] temp = [] T = [] L = 0 N = 0 m = -1 print '----- n',n print '-----------------------------------------------------------------------' while N

Uwsgi - Nginx - Django - 499 and 502 errors fix

On rare occasions, we have been receiving 499 and 502 response codes from our higher environment server. Before that, we have added max-requests = 500 in UWSGI configuration to reduce the high consumption of physical memory. So we are suspecting add max requests would have caused the error. Loglines recorded in the uwsgi.log file. 10.115.21.68 - - [01/Jan/2020:04:09:50 +0000] "GET / HTTP/1.1" 502 157 "-" "check_http/v2.2.1 (nagios-plugins 2.2.1)" "-" 2020/01/01 04:09:50 [error] 30522#0: *22690 connect() to unix:///tmp/uwsgi.sock failed (11: Resource temporarily unavailable) while connecting to upstream, client: 10.115.21.68, server: , request: "GET / HTTP/1.1", upstream: "uwsgi://unix:///tmp/uwsgi.sock:" 10.115.13.75 - - [01/Jan/2020:04:09:48 +0000] "GET / HTTP/1.1" 502 157 "-" "check_http/v2.2.1 (nagios-plugins 2.2.1)" "-" 2020/01/01 04:09:48 [error] 30523#0: *22688 connect() to ...

10 lines python code to solve DLP (Discrete Logarithmic Problem) using Baby Step Giant Step Algorithm

10 lines python code to solve DLP (Discrete Logarithmic Problem) using Baby Step Giant Step Algorithm # Baby Step Giant Step DLP problem y = a**x mod n # Example 70 = 2**x mod 131 # Use SAGE for complex operations y = 70 a = 2 n = 131 s = floor(sqrt(n)) A = [] B = [] for r in range(0,s): value = y*(a^r) % n A.append(value) for t in range(1,s+1): value = a^(t*s) % n B.append(value) print A print B x1,x2 =0,0 for r in A: for t in B: if r == t: x1 = A.index(r) x2 = B.index(t) print x1,x2 break print 'the value of x is ', ((x2+1)*s - x1) % n # Answer