Nurul Ferdous dynamicguy

## df.py
data = sqlContext.load("/home/rxin/ints.parquet")
data.groupBy("a").agg(col("a"), avg("num")).collect()

## gist:93c934db5565389f0aebfebb80b2139c
# basic pfctl control
# ==
# Related: http://www.OpenBSD.org
# Last update: Tue Dec 28, 2004
# ==
# Note:
# this document is only provided as a basic overview
# for some common pfctl commands and is by no means
# a replacement for the pfctl and pf manual pages.

## root.sh
#!/bin/bash

# Give the usual warning.
clear;
echo "[INFO] Automated Android root script started.\n\n[WARN] Exploit requires sdk module \"NDK\".\nFor more information, visit the installation guide @ https://goo.gl/E2nmLF\n[INFO] Press Ctrl+C to stop the script if you need to install the NDK module. Waiting 10 seconds...";
sleep 10;
clear;

# Download and extract exploit files.
echo "[INFO] Downloading exploit files from GitHub...";

## country-bounding-boxes.py
# extracted from http//www.naturalearthdata.com/download/110m/cultural/ne_110m_admin_0_countries.zip
# under public domain terms

country_bounding_boxes = {
    'AF': ('Afghanistan', (60.5284298033, 29.318572496, 75.1580277851, 38.4862816432)),
    'AO': ('Angola', (11.6400960629, -17.9306364885, 24.0799052263, -4.43802336998)),
    'AL': ('Albania', (19.3044861183, 39.624997667, 21.0200403175, 42.6882473822)),
    'AE': ('United Arab Emirates', (51.5795186705, 22.4969475367, 56.3968473651, 26.055464179)),
    'AR': ('Argentina', (-73.4154357571, -55.25, -53.628348965, -21.8323104794)),
    'AM': ('Armenia', (43.5827458026, 38.7412014837, 46.5057198423, 41.2481285671)),

## QuPath-Exporting annotations as labelled images (TMA version).groovy
/**
 * Script to export pixels & annotations for TMA images.
 *
 * The downsample value and coordinates are encoded in each image file name.
 *
 * The annotations are exported as 8-bit labelled images.
 * These labels depend upon annotation classifications; a text file giving the key is written for reference.
 *
 * The labelled image can also optionally use indexed colors to depict the colors of the
 * original classifications within QuPath for easier visualization & comparison.

## UserAgentInterceptor.java
package com.enlighthq.mobile.http;

import android.os.Build;

import java.io.IOException;
import java.util.Locale;

import okhttp3.Interceptor;
import okhttp3.Request;
import okhttp3.Response;

## 1-contacttracing-import.cql
//environment: Neo4j Desktop 1.2.7, Neo4j Enteprise 3.5.17, apoc 3.5.0.9, gds 1.1.0
//or: Neo4j Enterprise 4.0.3, apoc 4.0.0.6 (NOT later! a bug in apoc.coll.max/apoc.coll.min needs to be resolved)

//contact tracing data import

//full spreadsheet with synthetic data
//https://docs.google.com/spreadsheets/d/1R-XVuynPsOWcXSderLpq3DacZdk10PZ8v6FiYGTncIE/edit#gid=0

// person sheet˝
// https://docs.google.com/spreadsheets/u/0/d/1R-XVuynPsOWcXSderLpq3DacZdk10PZ8v6FiYGTncIE/export?format=csv&id=1R-XVuynPsOWcXSderLpq3DacZdk10PZ8v6FiYGTncIE&gid=0

## numba-cuda-stencil.ipynb

      
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                dynamicguy
                / numba-cuda-stencil.ipynb
            
            
              Created
              February 21, 2021 17:19
                — forked from mrocklin/numba-cuda-stencil.ipynb
            
          
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## PreProcessing.py
"""
get_info() function reads the image using openCV and performs thresholding, dilation, noise removal, and
contouring to finally retrieve bounding boxes from the contour.


Below are some of the additional available functions from openCV for preprocessing:

Median filter: median filter blurs out noises by taking the medium from a set of pixels
cv2.medianBlur()

## ocr.ipynb

      
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                dynamicguy
                / ocr.ipynb
            
            
              Created
              May 26, 2022 04:57
                — forked from hxy9243/ocr.ipynb
            
              
                Excel OCR example
              
          
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	data = sqlContext.load("/home/rxin/ints.parquet")
	data.groupBy("a").agg(col("a"), avg("num")).collect()
	# basic pfctl control
	# ==
	# Related: http://www.OpenBSD.org
	# Last update: Tue Dec 28, 2004
	# ==
	# Note:
	# this document is only provided as a basic overview
	# for some common pfctl commands and is by no means
	# a replacement for the pfctl and pf manual pages.
	#!/bin/bash

	# Give the usual warning.
	clear;
	echo "[INFO] Automated Android root script started.\n\n[WARN] Exploit requires sdk module \"NDK\".\nFor more information, visit the installation guide @ https://goo.gl/E2nmLF\n[INFO] Press Ctrl+C to stop the script if you need to install the NDK module. Waiting 10 seconds...";
	sleep 10;
	clear;

	# Download and extract exploit files.
	echo "[INFO] Downloading exploit files from GitHub...";
	# extracted from http//www.naturalearthdata.com/download/110m/cultural/ne_110m_admin_0_countries.zip
	# under public domain terms

	country_bounding_boxes = {
	'AF': ('Afghanistan', (60.5284298033, 29.318572496, 75.1580277851, 38.4862816432)),
	'AO': ('Angola', (11.6400960629, -17.9306364885, 24.0799052263, -4.43802336998)),
	'AL': ('Albania', (19.3044861183, 39.624997667, 21.0200403175, 42.6882473822)),
	'AE': ('United Arab Emirates', (51.5795186705, 22.4969475367, 56.3968473651, 26.055464179)),
	'AR': ('Argentina', (-73.4154357571, -55.25, -53.628348965, -21.8323104794)),
	'AM': ('Armenia', (43.5827458026, 38.7412014837, 46.5057198423, 41.2481285671)),
	/**
	* Script to export pixels & annotations for TMA images.
	*
	* The downsample value and coordinates are encoded in each image file name.
	*
	* The annotations are exported as 8-bit labelled images.
	* These labels depend upon annotation classifications; a text file giving the key is written for reference.
	*
	* The labelled image can also optionally use indexed colors to depict the colors of the
	* original classifications within QuPath for easier visualization & comparison.
	package com.enlighthq.mobile.http;

	import android.os.Build;

	import java.io.IOException;
	import java.util.Locale;

	import okhttp3.Interceptor;
	import okhttp3.Request;
	import okhttp3.Response;
	//environment: Neo4j Desktop 1.2.7, Neo4j Enteprise 3.5.17, apoc 3.5.0.9, gds 1.1.0
	//or: Neo4j Enterprise 4.0.3, apoc 4.0.0.6 (NOT later! a bug in apoc.coll.max/apoc.coll.min needs to be resolved)

	//contact tracing data import

	//full spreadsheet with synthetic data
	//https://docs.google.com/spreadsheets/d/1R-XVuynPsOWcXSderLpq3DacZdk10PZ8v6FiYGTncIE/edit#gid=0

	// person sheet˝
	// https://docs.google.com/spreadsheets/u/0/d/1R-XVuynPsOWcXSderLpq3DacZdk10PZ8v6FiYGTncIE/export?format=csv&id=1R-XVuynPsOWcXSderLpq3DacZdk10PZ8v6FiYGTncIE&gid=0
	"""
	get_info() function reads the image using openCV and performs thresholding, dilation, noise removal, and
	contouring to finally retrieve bounding boxes from the contour.


	Below are some of the additional available functions from openCV for preprocessing:

	Median filter: median filter blurs out noises by taking the medium from a set of pixels
	cv2.medianBlur()