Jason Scott js1972

## zcl_abap_benchmark_tool.abap
class ZCL_ABAP_BENCHMARK_TOOL definition
  public
  final
  create public .

public section.

  class-methods START_TIMER .
  class-methods STOP_TIMER .
  class-methods GC .

## infinite_streams.scala
package week7

object primes {

  //infinite stream builder
  def from(n: Int): Stream[Int] = n #:: from(n + 1)
                                                  //> from: (n: Int)Stream[Int]
  //infinte stream of all natural numbers
  val nats = from(0)                              //> nats  : Stream[Int] = Stream(0, ?)
  val m4s = nats map (_ * 4)                      //> m4s  : scala.collection.immutable.Stream[Int] = Stream(0, ?)

## gist:9045719
  method calculate_hash.
    " importing: string_data TYPE STRING
    " returning: hash_value TYPE STRING
    "
    " Calculate the hash value for a given string and return as Base64.
    "

    data: lo_digest type ref to cl_abap_message_digest,
          converter type ref to cl_abap_conv_out_ce,
          data_as_xstring type xstring.

## email_image_chart.abap
report y_test_email_with_chart.

type-pools: abap .

tables: sflight .

constants: image_name_01 type string value 'Sailing.jpg' .
constants: image_name_02 type string value 'chart_01.jpg' .
constants: c_series_01 type string value 'series_01' .

## ztcode.abap
report ztcode.

parameters: month type dats default sy-datum obligatory,
            user  type usr02-bname obligatory default sy-uname.

types: begin of zusertcode,
         operation type char30,
         type      type char10,
         count     type swncshcnt,
       end of zusertcode.

## odata_service.abap
class zcl_zusers_dpc_ext definition
  public
  inheriting from zcl_zusers_dpc
  create public .

  public section.
    methods /iwbep/if_mgw_appl_srv_runtime~execute_action redefinition.

  protected section.
    methods userset_get_entity redefinition.

## CMM_InvoiceReplication_V01_to_ProConInvoiceActivityMessage.xsl
<?xml version="1.0" encoding="UTF-8"?>
<!--
Name:		ProCon Invoice Mapping
Author: 	Chris Mills
Details: 	Mapping implemented as an XSL as single SAP Invoice message needs to be split to mutliple ProCon messages, 1 per PO
			and financials calculated by unique PO. i.e. if invoice has 3 line items which relate to two PO's then need to split to
			two output messages and calculate the tax and net amounts by PO, recursion much easier in XSL

			NOTE: This will only send items from the invoice that relate to a contract, the business rules are meant to be no multi-contract
			invoices and no mix of 1 item against a contract and another not but if it happens ProCon will only see parts of the invoice

## VIDEO-QA with Tensorflow 1.2RC0.ipynb

      
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                js1972
                / VIDEO-QA with Tensorflow 1.2RC0.ipynb
            
            
              Created
              June 20, 2017 06:13
                — forked from Kjeanclaude/VIDEO-QA with Tensorflow 1.2RC0.ipynb
            
              
                EXAMPLE OF VIDEO-QA IMPLEMENTATION WITH TENSORFLOW 1.2RC0
              
          
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## types_testing.scala
package shapeless.stuff

import shapeless._
import nat._
import ops.nat._
import ops.hlist._

/**
 * The goal is to determine whether a list of numbers is the appropriate length
 * (nine) and has a valid checksum, which is calculated by taking the sum of

## face_detect.py
import sys, cv2

# Refactored https://realpython.com/blog/python/face-recognition-with-python/

def cascade_detect(cascade, image):
  gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
  return cascade.detectMultiScale(
    gray_image,
    scaleFactor = 1.15,
    minNeighbors = 5,
	class ZCL_ABAP_BENCHMARK_TOOL definition
	public
	final
	create public .

	public section.

	class-methods START_TIMER .
	class-methods STOP_TIMER .
	class-methods GC .
	package week7

	object primes {

	//infinite stream builder
	def from(n: Int): Stream[Int] = n #:: from(n + 1)
	//> from: (n: Int)Stream[Int]
	//infinte stream of all natural numbers
	val nats = from(0) //> nats : Stream[Int] = Stream(0, ?)
	val m4s = nats map (_ * 4) //> m4s : scala.collection.immutable.Stream[Int] = Stream(0, ?)
	method calculate_hash.
	" importing: string_data TYPE STRING
	" returning: hash_value TYPE STRING
	"
	" Calculate the hash value for a given string and return as Base64.
	"

	data: lo_digest type ref to cl_abap_message_digest,
	converter type ref to cl_abap_conv_out_ce,
	data_as_xstring type xstring.
	report y_test_email_with_chart.

	type-pools: abap .

	tables: sflight .

	constants: image_name_01 type string value 'Sailing.jpg' .
	constants: image_name_02 type string value 'chart_01.jpg' .
	constants: c_series_01 type string value 'series_01' .
	report ztcode.

	parameters: month type dats default sy-datum obligatory,
	user type usr02-bname obligatory default sy-uname.

	types: begin of zusertcode,
	operation type char30,
	type type char10,
	count type swncshcnt,
	end of zusertcode.
	class zcl_zusers_dpc_ext definition
	public
	inheriting from zcl_zusers_dpc
	create public .

	public section.
	methods /iwbep/if_mgw_appl_srv_runtime~execute_action redefinition.

	protected section.
	methods userset_get_entity redefinition.
	<?xml version="1.0" encoding="UTF-8"?>
	<!--
	Name: ProCon Invoice Mapping
	Author: Chris Mills
	Details: Mapping implemented as an XSL as single SAP Invoice message needs to be split to mutliple ProCon messages, 1 per PO
	and financials calculated by unique PO. i.e. if invoice has 3 line items which relate to two PO's then need to split to
	two output messages and calculate the tax and net amounts by PO, recursion much easier in XSL

	NOTE: This will only send items from the invoice that relate to a contract, the business rules are meant to be no multi-contract
	invoices and no mix of 1 item against a contract and another not but if it happens ProCon will only see parts of the invoice
	package shapeless.stuff

	import shapeless._
	import nat._
	import ops.nat._
	import ops.hlist._

	/**
	* The goal is to determine whether a list of numbers is the appropriate length
	* (nine) and has a valid checksum, which is calculated by taking the sum of
	import sys, cv2

	# Refactored https://realpython.com/blog/python/face-recognition-with-python/

	def cascade_detect(cascade, image):
	gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
	return cascade.detectMultiScale(
	gray_image,
	scaleFactor = 1.15,
	minNeighbors = 5,