Coldmooon

## using_meld_on_mac.md

      
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                p1nox
                / using_meld_on_mac.md
            
            
              Last active
              June 13, 2023 16:24
            
              
                Using meld on Mac
              
          
    Using Meld merging tool on Mac

There are two ways of installing meld on osx (May 2023), using brew and .dmg package (from @yousseb). Since I found https://yousseb.github.io/meld/, I've installed it with .dmg package, but having macOS Ventura Version 13.4 (22F66) in place, it's not even starting for me. So I tried brew installation, and the application is working as expected, including symlink to start it from the terminal.
Using brew formulae: https://formulae.brew.sh/cask/meld

brew install --cask meld

# set meld as your default git mergetool


## cracking.md

      
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                vertexclique
                / cracking.md
            
            
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              May 11, 2024 21:17
            
              
                Cracking guide for Sublime Text 3 Build 3059 / 3065 ( Mac / Win x86_64 / Windows x86 / Linux x64 / Linux x86 )
              
          
    MacOS

Build 3059

MD5: 59bab8f71f8c096cd3f72cd73851515d
Rename it to: Sublime Text
Make it executable with: chmod u+x Sublime\ Text

  
## hb-test.py
# Quick and dirty demonstration of CVE-2014-0160 by Jared Stafford (jspenguin@jspenguin.org)
# The author disclaims copyright to this source code.

import sys
import struct
import socket
import time
import select
import re
import codecs

## openssl.py
#!/usr/bin/python

# Quick and dirty demonstration of CVE-2014-0160 by Jared Stafford (jspenguin@jspenguin.org)
# The author disclaims copyright to this source code.

import sys
import struct
import socket
import time
import select

## .bash_profile
#  ---------------------------------------------------------------------------
#
#  Description:  This file holds all my BASH configurations and aliases
#
#  Sections:
#  1.   Environment Configuration
#  2.   Make Terminal Better (remapping defaults and adding functionality)
#  3.   File and Folder Management
#  4.   Searching
#  5.   Process Management

## C++ Predict with caffe
#include <cuda_runtime.h>

#include <cstring>
#include <cstdlib>
#include <vector>

#include <string>
#include <iostream>
#include <stdio.h>
#include "caffe/caffe.hpp"

## cifar vgg16
slight modification of vgg16 (shrinked ip layers and dropout added) trained on cifar10 with and without batch normalization
also uses prelu: https://github.com/BVLC/caffe/pull/1940
and msr weight filler: https://github.com/BVLC/caffe/pull/1883

## trial.key
Beyond Compare 4
Licensed to:    ASIO Allsoftinone
Quantity:       1 user
Serial number:  1822-9597
License type:   Pro Edition for Windows

--- BEGIN LICENSE KEY ---
H1bJTd2SauPv5Garuaq0Ig43uqq5NJOEw94wxdZTpU-pFB9GmyPk677gJ
vC1Ro6sbAvKR4pVwtxdCfuoZDb6hJ5bVQKqlfihJfSYZt-xVrVU27+0Ja
hFbqTmYskatMTgPyjvv99CF2Te8ec+Ys2SPxyZAF0YwOCNOWmsyqN5y9t

## gist:f3ee599538ff78e1bbe9

--[[
   This layer expects an [n x d] Tensor and normalizes each
   row to have unit L2 norm.
]]--
local L2Normalize, parent = torch.class('nn.L2Normalize', 'nn.Module')
function L2Normalize:__init()
   parent.__init(self)
end
function L2Normalize:updateOutput(input)

## converter
import caffe_pb2 as proto
import leveldb
import sys

db = leveldb.LevelDB('./cifar_test',block_size=40 * (2 << 20) )

import struct

def unpickle(file):
    import cPickle
	# Quick and dirty demonstration of CVE-2014-0160 by Jared Stafford (jspenguin@jspenguin.org)
	# The author disclaims copyright to this source code.

	import sys
	import struct
	import socket
	import time
	import select
	import re
	import codecs
	#!/usr/bin/python

	# Quick and dirty demonstration of CVE-2014-0160 by Jared Stafford (jspenguin@jspenguin.org)
	# The author disclaims copyright to this source code.

	import sys
	import struct
	import socket
	import time
	import select
	# ---------------------------------------------------------------------------
	#
	# Description: This file holds all my BASH configurations and aliases
	#
	# Sections:
	# 1. Environment Configuration
	# 2. Make Terminal Better (remapping defaults and adding functionality)
	# 3. File and Folder Management
	# 4. Searching
	# 5. Process Management
	#include <cuda_runtime.h>

	#include <cstring>
	#include <cstdlib>
	#include <vector>

	#include <string>
	#include <iostream>
	#include <stdio.h>
	#include "caffe/caffe.hpp"
	slight modification of vgg16 (shrinked ip layers and dropout added) trained on cifar10 with and without batch normalization
	also uses prelu: https://github.com/BVLC/caffe/pull/1940
	and msr weight filler: https://github.com/BVLC/caffe/pull/1883
	Beyond Compare 4
	Licensed to: ASIO Allsoftinone
	Quantity: 1 user
	Serial number: 1822-9597
	License type: Pro Edition for Windows

	--- BEGIN LICENSE KEY ---
	H1bJTd2SauPv5Garuaq0Ig43uqq5NJOEw94wxdZTpU-pFB9GmyPk677gJ
	vC1Ro6sbAvKR4pVwtxdCfuoZDb6hJ5bVQKqlfihJfSYZt-xVrVU27+0Ja
	hFbqTmYskatMTgPyjvv99CF2Te8ec+Ys2SPxyZAF0YwOCNOWmsyqN5y9t

	--[[
	This layer expects an [n x d] Tensor and normalizes each
	row to have unit L2 norm.
	]]--
	local L2Normalize, parent = torch.class('nn.L2Normalize', 'nn.Module')
	function L2Normalize:__init()
	parent.__init(self)
	end
	function L2Normalize:updateOutput(input)
	import caffe_pb2 as proto
	import leveldb
	import sys

	db = leveldb.LevelDB('./cifar_test',block_size=40 * (2 << 20) )

	import struct

	def unpickle(file):
	import cPickle