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<?xml version="1.0"?>
<!DOCTYPE fontconfig SYSTEM "fonts.dtd">
<fontconfig>

 <match target="font" >
  <edit mode="assign" name="hintstyle" >
   <const>hintfull</const>
  </edit>
 </match>

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#include <node.h>
#include <v8.h>

#include <iostream>

using namespace v8;
using namespace node;

class Point 
:ObjectWrap

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;*************************************************************** 
;* Feladat: Forgalmi jelzolampa fenyerzekelo ejszakai uzemmoddal
;* Rövid leírás:
; 
;* Szerzők: Thaler Benedek EDDO10
;* Mérőcsoport: CDU65
;
;***************************************************************
;* "AVR ExperimentBoard" port assignment information:
;***************************************************************

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#    OVERVIEW:

#    parse command line
#    write output header
#    create filter string
#    read csv -> machines
#    for machine in machines
#        Get-WSManInstance wmicimv2/* 
#            -ComputerName ... 
#            -Enumerate 

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GSoC 2014 Boost.Pipeline Proposal

Personal Details

• Name: Benedek Thaler
• University: Budapest University of Technology and Economics
• Course/Major: Computer Engineer, Applied Informatics
• Degree Program: M.Sc.

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// Imprisoned Toroid -- a simple raytrace program
// written in 2012, shared for educational purposes only.
// A (more than) slightly modified version of this program produces the following:
// https://www.youtube.com/watch?v=oYdYEcjz7_4

#include <math.h>
#include <stdlib.h>

#if defined(WIN32) || defined(_WIN32) || defined(__WIN32__)
  #include <windows.h>     

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GSoC 2015 Enhanced vector and deque containers Proposal

Personal Details

• Name: Benedek Thaler
• University: Budapest University of Technology and Economics
• Course/Major: Computer Engineer, Applied Informatics
• Degree Program: M.Sc.

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# This example shows how to use keras TensorBoard callback
# with model.train_on_batch

import tensorflow.keras as keras

# Setup the model
model = keras.models.Sequential()
model.add(...) # Add your layers
model.compile(...) # Compile as usual

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"""Pseudocode description of the AlphaZero algorithm."""


from __future__ import google_type_annotations
from __future__ import division

import math
import numpy
import tensorflow as tf
from typing import List

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#!/bin/python

# Replace matching patterns at the specified locations
#
# On stdin it expects locations:
#
#    <file_path>|<line> col <col>| match
#
# For example:
#