mbijon

Encoded Traversal Strings:

../
..\
..\/
%2e%2e%2f
%252e%252e%252f
%c0%ae%c0%ae%c0%af
%uff0e%uff0e%u2215
%uff0e%uff0e%u2216

mbijon

#!/usr/bin/env ruby
require 'rubygems'
require 'rails/commands/server'
require 'rack'
require 'webrick'
require 'webrick/https'

module Rails
  class Server < ::Rack::Server
    def default_options 

mbijon

# -*- coding: utf-8 -*-
"""
Created on Fri Dec 21 18:59:49 2018

@author: Nhan Tran
"""

import numpy as np
import matplotlib.pyplot as plt
import pandas as pd

mbijon

Provider(aka Server)-side configuration, routes, controllers etc

Rails 5.0.0.1

Doorkeeper 4.2.6

Devise 4.2.0

Gemfile

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# coding: utf-8
"""
Based on Luo et al. (2019). Adaptive Gradient Methods with Dynamic Bound of Learning Rate. In Proc. of ICLR 2019.
"""
from tensorflow import keras

class AdaBound(keras.optimizers.Optimizer):
    def __init__(self, lr=0.001, beta1=0.9, beta2=0.999, final_lr=0.1, gamma=1e-3, epsilon=None, weight_decay=0, amsbound=False, **kwargs):
        super(AdaBound, self).__init__(**kwargs)
        with keras.backend.name_scope(self.__class__.__name__):

mbijon

"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)

mbijon

## ubuntu server with bash shell

git clone https://github.com/sstephenson/rbenv.git ~/.rbenv
echo 'export PATH="$HOME/.rbenv/bin:$PATH"' >> ~/.bash_profile
echo 'eval "$(rbenv init -)"' >> ~/.bash_profile
git clone https://github.com/sstephenson/ruby-build.git ~/.rbenv/plugins/ruby-build


## verify
type rbenv

mbijon

import numpy as np
from scipy.misc import imread
from skimage.transform import resize
import matplotlib.pyplot as plt
import json, glob

#%matplotlib inline

def path_to_string(path):
  '''Given a path to an image, return a string of that image as ascii'''

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import warnings
from skimage.measure import compare_ssim
from skimage.transform import resize
from scipy.stats import wasserstein_distance
from scipy.misc import imsave
from scipy.ndimage import imread
import numpy as np
import cv2

##

mbijon

import warnings
from skimage.measure import compare_ssim
from skimage.transform import resize
from scipy.stats import wasserstein_distance
from scipy.misc import imsave
from scipy.ndimage import imread
import numpy as np
import cv2

##