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#include <SDL2/SDL.h>

#define MUS_PATH "Roland-GR-1-Trumpet-C5.wav"

// prototype for our audio callback
// see the implementation for more information
void my_audio_callback(void *userdata, Uint8 *stream, int len);

// variable declarations
static Uint8 *audio_pos; // global pointer to the audio buffer to be played

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# port from https://github.com/hsmyy/zhihuzhuanlan
import numpy as np
import sys
import tensorflow as tf
from tensorflow.examples.tutorials.mnist import input_data

def conv2(X, k):
    # as a demo code, here we ignore the shape check
    x_row, x_col = X.shape
    k_row, k_col = k.shape

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# port from https://github.com/hsmyy/zhihuzhuanlan
import numpy as np
import sys
import tensorflow as tf
from tensorflow.examples.tutorials.mnist import input_data

def conv2(X, k):
    # as a demo code, here we ignore the shape check
    x_row, x_col = X.shape
    k_row, k_col = k.shape

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;SMBDIS.ASM - A COMPREHENSIVE SUPER MARIO BROS. DISASSEMBLY
;by doppelganger (doppelheathen@gmail.com)

;This file is provided for your own use as-is.  It will require the character rom data
;and an iNES file header to get it to work.

;There are so many people I have to thank for this, that taking all the credit for
;myself would be an unforgivable act of arrogance. Without their help this would
;probably not be possible.  So I thank all the peeps in the nesdev scene whose insight into
;the 6502 and the NES helped me learn how it works (you guys know who you are, there's no 

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# Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,

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# Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,

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# Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,

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# Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,