Bayu Aldi Yansyah pyk

## EDVR_test_video_without_gt.py
class VideoTestDatasetWithoutGT(data.Dataset):
    """Video test dataset.
    More generally, it supports testing dataset with following structures:
    dataroot
    ├── subfolder1
        ├── frame000
        ├── frame001
        ├── ...
    ├── subfolder1
        ├── frame000

## Windows 10 Fix docker-credential-desktop not installed or not available in PATH.md

      
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                pyk
                / Windows 10 Fix docker-credential-desktop not installed or not available in PATH.md
            
            
              Created Apr 24, 2020
            
              
                Windows 10 Fix docker-credential-desktop not installed or not available in PATH
              
          
      View Windows 10 Fix docker-credential-desktop not installed or not available in PATH.md
  
    
    When try to run AWS Lambda locally on windows:
sam local invoke

I got the following error:
Invoking app.lambda_handler (python3.8)


## Set-Window.ps1
Function Set-Window {
<#
.SYNOPSIS
Retrieve/Set the window size and coordinates of a process window.

.DESCRIPTION
Retrieve/Set the size (height,width) and coordinates (x,y)
of a process window.

.PARAMETER ProcessName

## python-on-windows-10.md

      
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                pyk
                / python-on-windows-10.md
            
            
              Last active Jan 30, 2020
            
              
                Setup Python development in Windows 10
              
          
      View python-on-windows-10.md
  
    
    Python Setup
Download and install Python 3.8.
Open the folder using VSCode.
Open the VSCode terminal using CTRL + J.
Then create new virtualenv using the following command:

  
## vscode-settings.json
{
    "editor.fontSize": 14,
    "workbench.colorTheme": "Visual Studio Light",
    "workbench.colorCustomizations": {
        "[DuoTone Dark Sea]": {
            "sideBar.background": "#1D262F",
            "sideBar.foreground": "#bec9d3",
            "sideBar.dropBackground": "#bec9d3",
            "sideBarTitle.foreground": "#444c55",
            "sideBarSectionHeader.background": "#1D262F",

## dataset.csv

          
            total_miles
            total_paid

            
              390.0
              36.66

            
              403.0
              37.05

            
              396.5
              34.71

            
              383.5
              32.5

            
              321.1
              32.63

            
              391.3
              34.45

            
              386.1
              36.79

            
              371.8
              37.44

            
              404.3
              38.09

## requirements.txt
Click==7.0
Flask==1.0.2
gunicorn==19.9.0
itsdangerous==1.1.0
Jinja2==2.10
MarkupSafe==1.1.0
Werkzeug==0.14.1

## app.py
from flask import Flask

import config

app = Flask(__name__)

@app.route("/")
def hello():
    return "Hello World!"

## config.py
from os import environ as env
import multiprocessing

PORT = int(env.get("PORT", 8080))
DEBUG_MODE = int(env.get("DEBUG_MODE", 1))

# Gunicorn config
bind = ":" + str(PORT)
workers = multiprocessing.cpu_count() * 2 + 1
threads = 2 * multiprocessing.cpu_count()

## convert_dataset_to_raw_text.py
import json

output = open("kumparan-news-dataset-19062018-16112018.txt", "w")
for line in open("typo-detector-dataset.json"):
    data = json.loads(line)
    output.write(data["title"].strip() + "\n")
    if "content" in data:
        output.write(data["content"].strip() + "\n")
	class VideoTestDatasetWithoutGT(data.Dataset):
	"""Video test dataset.
	More generally, it supports testing dataset with following structures:
	dataroot
	├── subfolder1
	├── frame000
	├── frame001
	├── ...
	├── subfolder1
	├── frame000
	Function Set-Window {
	<#
	.SYNOPSIS
	Retrieve/Set the window size and coordinates of a process window.

	.DESCRIPTION
	Retrieve/Set the size (height,width) and coordinates (x,y)
	of a process window.

	.PARAMETER ProcessName
	{
	"editor.fontSize": 14,
	"workbench.colorTheme": "Visual Studio Light",
	"workbench.colorCustomizations": {
	"[DuoTone Dark Sea]": {
	"sideBar.background": "#1D262F",
	"sideBar.foreground": "#bec9d3",
	"sideBar.dropBackground": "#bec9d3",
	"sideBarTitle.foreground": "#444c55",
	"sideBarSectionHeader.background": "#1D262F",
	total_miles	total_paid
	390.0	36.66
	403.0	37.05
	396.5	34.71
	383.5	32.5
	321.1	32.63
	391.3	34.45
	386.1	36.79
	371.8	37.44
	404.3	38.09
	Click==7.0
	Flask==1.0.2
	gunicorn==19.9.0
	itsdangerous==1.1.0
	Jinja2==2.10
	MarkupSafe==1.1.0
	Werkzeug==0.14.1
	from flask import Flask

	import config

	app = Flask(__name__)

	@app.route("/")
	def hello():
	return "Hello World!"
	from os import environ as env
	import multiprocessing

	PORT = int(env.get("PORT", 8080))
	DEBUG_MODE = int(env.get("DEBUG_MODE", 1))

	# Gunicorn config
	bind = ":" + str(PORT)
	workers = multiprocessing.cpu_count() * 2 + 1
	threads = 2 * multiprocessing.cpu_count()
	import json

	output = open("kumparan-news-dataset-19062018-16112018.txt", "w")
	for line in open("typo-detector-dataset.json"):
	data = json.loads(line)
	output.write(data["title"].strip() + "\n")
	if "content" in data:
	output.write(data["content"].strip() + "\n")