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#include "SDL2/SDL.h"
#include "SDL2/SDL_opengl.h"

#include <fstream>

namespace shaders {

    const GLchar* read_shader_source(const std::string shaderpath) {
        std::ifstream in(shaderpath);
        std::string contents((std::istreambuf_iterator<char>(in)),

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[ 14%] Building CXX object CMakeFiles/smargl.dir/Triangle.cpp.o
In file included from /usr/include/x86_64-linux-gnu/c++/5/bits/c++allocator.h:33:0,
                 from /usr/include/c++/5/bits/allocator.h:46,
                 from /usr/include/c++/5/string:41,
                 from /usr/include/c++/5/bits/locale_classes.h:40,
                 from /usr/include/c++/5/bits/ios_base.h:41,
                 from /usr/include/c++/5/ios:42,
                 from /usr/include/c++/5/istream:38,
                 from /usr/include/c++/5/fstream:38,
                 from /home/anish/Code/smargl_tst/shader.h:7,

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#define GLFW_INCLUDE_VULKAN
#include <GLFW/glfw3.h>

#include <iostream>
#include <stdexcept>
#include <functional>
#include <algorithm>
#include <vector>
#include <cstring>
#include <set>

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#define GLFW_INCLUDE_VULKAN
#include <GLFW/glfw3.h>

#include <iostream>
#include <stdexcept>
#include <functional>
#include <fstream>
#include <algorithm>
#include <vector>
#include <cstring>

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from __future__ import print_function

from common import *

from callbacks import *
from listeners import *

import argparse
import atexit
import socket

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error: expected one of `,`, `.`, `?`, `else`, or `}`, found `ClearValue`
   --> /home/anish/Code/vulkano/vulkano/src/command_buffer/auto.rs:520:33
    |
519 |                                 }
    |                                  - expected one of `,`, `.`, `?`, `else`, or `}` here
520 |                                 ClearValue::Int(_) => if atch_desc.format.ty() != FormatTy::Sint {
    |                                 ^^^^^^^^^^ unexpected token

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import tensorflow as tf
import numpy as np
import cProfile

def ff_network(name, layer_dims):
    layer_weight_list = [None] * len(layer_dims)
    layers = [None] * len(layer_dims)
    layers[0] = tf.placeholder('float', [None, layer_dims[0]])
    layer_weight_list = [None] * (len(layer_dims) - 1)
    layer_bias_list = [None] * len(layer_weight_list)

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import tensorflow as tf
import numpy as np
import gym


def ff_network(name, layer_dims):
    layer_weight_list = [None] * len(layer_dims)
    layers = [None] * len(layer_dims)
    layers[0] = tf.placeholder('float', [None, layer_dims[0]])
    layer_weight_list = [None] * (len(layer_dims) - 1)

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;; Reader macro for hash tables
;; Following code modified from https://news.ycombinator.com/item?id=1611090

(labels ((in-place-hash (stream char)
           (declare (ignore char))
           (let ((ls (read-delimited-list #\} stream t)))
             (with-gensyms (table)
               `(let ( (,table (make-hash-table :test #'equalp)))
                  ,@(mapcar (lambda (p) `(setf (gethash ,(car p) ,table) ,(cadr p)))
                            ls)

anlsh

Post by user YodaKenobi on boards.theforce.net
Original url was http://boards.theforce.net/literature/b10003/28128642/p5 which is now 404'd
The post remains accessible at https://web.archive.org/web/20090917025847/http://boards.theforce.net/literature/b10003/28128642/p5
Post tagline: Date Posted: 3/2/08 6:50pm Subject: RE: The JC Lit Reviews Special: LEGACY OF THE FORCE: REVELATION (Spoilers) - Date Edited: 3/2/08 8:03pm (2 edits total) Edited By: YodaKenobi

Original post content follows
==================================================================================

I'll apologize now for the length of this post, but I have a lot I wanted to say and I want to explain this as clearly as possible. I've divided this review up in more sections than I normally would, simply because I'm afraid it becomes a jumble otherwise.