seahrh

i
me
my
myself
we
our
ours
ourselves
you
your

seahrh

#
#  stopwords.txt
#
#  Freely available stopword list, balancing coverage and size.
#
#  From http://www.lextek.com/manuals/onix/stopwords1.html
a
about
above
across

seahrh

Latency Comparison Numbers (~2012)
----------------------------------
L1 cache reference                           0.5 ns
Branch mispredict                            5   ns
L2 cache reference                           7   ns                      14x L1 cache
Mutex lock/unlock                           25   ns
Main memory reference                      100   ns                      20x L2 cache, 200x L1 cache
Compress 1K bytes with Zippy             3,000   ns        3 us
Send 1K bytes over 1 Gbps network       10,000   ns       10 us
Read 4K randomly from SSD*             150,000   ns      150 us          ~1GB/sec SSD

seahrh

import os
import yaml
import logging.config
import logging
import coloredlogs

def setup_logging(default_path='logging.yaml', default_level=logging.INFO, env_key='LOG_CFG'):
    """
    | **@author:** Prathyush SP
    | Logging Setup

seahrh

import sys
import inspect
import time
import traceback

def deeper(func, depth):
    if depth > 0:
        return deeper(func, depth-1)
    else:
        return func()

seahrh

# one or the other, NOT both

[url "https://github"]
  insteadOf = git://github

# or

[url "git@github.com:"]
  insteadOf = git://github

seahrh

Introduction

This is how to create a gpg key without any user interaction or password. This can be used in cases where the primary goal is to secure the data in transit but the gpg key can/must be stored locally without a password. An example of this is the hiera-gpg plugin which doesn't support passwords.

The below genkey-batch file will use the default which currently are RSA/RSA and 2048 bit length. See the reference link to set this to something else.

References

seahrh

using System;
using System.Collections.Generic;
using System.IO;
using System.Linq;
using System.Text;

namespace SuffixTreeAlgorithm
{
	public class SuffixTree
	{

seahrh

#!/usr/bin/env bash

# Path to the project directory (that should include requirements.txt),
# Files and directories within that need to be deployed.
project=../backend
contents=(module lamdba_handler.py)

# Unnecessary parts. Note that there are some inter-dependencies in SciPy,
# for example to use scipy.stats you also need scipy.linalg, scipy.integrate,
# scipy.misc, scipy.sparse, and scipy.special.

seahrh

import numpy as np
import os
import tensorflow as tf
import vgg
import vgg_preprocessing
from pycocotools.coco import COCO

slim = tf.contrib.slim

LOG_DIR = './log/fe'