Kleber klesouza

## graytoHex.js
function grayToHex(val) {
  if(val >= 0 && val <= 255){
    var n = (255 - val).toString(16);
    return "#" + n + n + n;
  }
}

## clean_docker_images.bat
FOR /f "tokens=1" %i IN ('docker images -f "dangling=true" -q') DO docker rmi -f %i

## clean_docker_images.sh
docker rmi $(docker images -f "dangling=true" -q)

## start-docker.bat
@echo off
FOR /f "tokens=4" %%i IN ('docker-machine ls --filter "NAME=default"') DO (
	IF "%%i"=="Stopped" (
		docker-machine start default
		@FOR /f "tokens=*" %%j IN ('docker-machine env default') DO @%%j
	)
)

## start-docker.sh
#!/bin/bash
if [[ "$(docker-machine ls --filter 'name=default')" == *"Stopped"* ]]
then
	docker-machine start default;
	eval $(docker-machine env default);
fi

## json-masker.js
<html>
    <body>
        <textarea name="" id="json" cols="30" rows="10"></textarea>
        <input id="filter" />
        <textarea name="" id="result" cols="30" rows="10"></textarea>
        <button onclick="send()">Filter</button>
    </body>
    <script type="text/javascript">
        var a = {
            fare: [

## bq_schema_gen_dotnet_class.cs
using System;
using System.Collections.Generic;
using System.Drawing;
using System.Reflection;
using System.Linq;
using Travix.AirFareDomain;
using System.Collections;
using Newtonsoft.Json;
using System.IO;

## bq_tfdv.py
import apache_beam as beam
import pyarrow
import tensorflow_data_validation as tfdv
from tensorflow_metadata.proto.v0 import statistics_pb2
import numpy as np

pipeline_options = beam.pipeline.PipelineOptions.from_dictionary({
    'project': '[PROJECT_ID]'
})

## find_k8s_delete.sh
kubectl api-resources --verbs="get" --no-headers=true | awk '{ print $1; }' | xargs -I {} sh -c  'for i in `kubectl get $1`; do echo "$1\t$i"; done' sh {} | awk '{ print "kubectl delete " $1 " " $2; }' | grep WHAT_YOUR_ARE_LOOKING_FOR

## my_git_log.sh
#!/bin/bash


find . -type d -depth 1 -exec sh -c 'git --git-dir={}/.git --work-tree=$PWD/{}  log --format="%cs %aE %s" --before 2020-04-1 --after 2020-03-02 | grep [YOUR_USER]' \; -print
	function grayToHex(val) {
	if(val >= 0 && val <= 255){
	var n = (255 - val).toString(16);
	return "#" + n + n + n;
	}
	}
	@echo off
	FOR /f "tokens=4" %%i IN ('docker-machine ls --filter "NAME=default"') DO (
	IF "%%i"=="Stopped" (
	docker-machine start default
	@FOR /f "tokens=*" %%j IN ('docker-machine env default') DO @%%j
	)
	)
	#!/bin/bash
	if [[ "$(docker-machine ls --filter 'name=default')" == "Stopped" ]]
	then
	docker-machine start default;
	eval $(docker-machine env default);
	fi
	<html>
	<body>
	<textarea name="" id="json" cols="30" rows="10"></textarea>
	<input id="filter" />
	<textarea name="" id="result" cols="30" rows="10"></textarea>
	<button onclick="send()">Filter</button>
	</body>
	<script type="text/javascript">
	var a = {
	fare: [
	using System;
	using System.Collections.Generic;
	using System.Drawing;
	using System.Reflection;
	using System.Linq;
	using Travix.AirFareDomain;
	using System.Collections;
	using Newtonsoft.Json;
	using System.IO;
	import apache_beam as beam
	import pyarrow
	import tensorflow_data_validation as tfdv
	from tensorflow_metadata.proto.v0 import statistics_pb2
	import numpy as np

	pipeline_options = beam.pipeline.PipelineOptions.from_dictionary({
	'project': '[PROJECT_ID]'
	})
	#!/bin/bash


	find . -type d -depth 1 -exec sh -c 'git --git-dir={}/.git --work-tree=$PWD/{} log --format="%cs %aE %s" --before 2020-04-1 --after 2020-03-02 \| grep [YOUR_USER]' \; -print