Matthieu Brucher mbrucher

## clang-format-diff.py
#!/usr/bin/env python
#
#===- clang-format-diff.py - ClangFormat Diff Reformatter ----*- python -*--===#
#
# Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
# See https://llvm.org/LICENSE.txt for license information.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
#
#===------------------------------------------------------------------------===#

## astro.py
# -*- coding: utf-8 -*-
import glob
import sys

import numpy as np
from PIL import Image

def readFiles(images):
    loaded = [np.asarray(Image.open(img)) for img in images]
    return np.array(loaded)

## pre-distortion-tone-shaping-ampop.cir
*
Vin	Vin	0	AC	1
*
* Put here your favorite amp model
Z3b	2	Vin	Vout
R044	2	Vout	220k

* Gyrator
C034	2	3	0.027u

## perfect_gyrator.py

import numpy as np
from scipy.signal import freqs
import matplotlib.pyplot as plt

c = 47.0e-9
r1 = 2.2e3
r2 = 100.0e3

a1 = [1.]

## index.html
<html>
  <head>
    <title></title>
    <link rel="stylesheet" href="/static/main.css?lang=fr">
  </head>
  <body>
  <center><div id="map-canvas" style="width:70%;height:500px"></div></center>

  <script src="/static/map.js?lang=fr" type="text/javascript"></script>
  <script type="text/javascript">

## minst_autoencoder_classifier.ipynb

      
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                mbrucher
                / minst_autoencoder_classifier.ipynb
            
            
              Created
              November 18, 2018 14:02
            
              
                A mix of autoencoder and a classifier with Tensorflow
              
          
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## deploy.py
# Almost copied entirely from http://www.clemens-sielaff.com/creating-your-own-python-3-redistributable-on-windows/

import os, sys
from glob import glob
from shutil import copy, copytree

RELEASE = 1
DEBUG = 2

def find_visual_studio():

## gist:b3c6f281a57d4173f9134d676c3dcdae

// You need to setup memory, how the parameter is updated
// you need to setup max_interval_process, the number of samples before the next update
class ProcessingClass
{
  double parameter_target;
  double parameter_current;

  int64_t interval_process;
public:

## broadcastertest.cpp
/**
 *
 */

#include "parallelpropertybroadcaster.h"

#include <iostream>
#include <cstdlib>
#include <unistd.h>
#include <fcntl.h>

## simulate_annuity.py
#!/usr/bin/env python

def simulate_annuity(amount, annuity, month_mean_interest, month_scale_interest):
    import numpy as np

    months = []

    while amount > 0:
        months.append(amount)
        if month_scale_interest:
	#!/usr/bin/env python
	#
	#===- clang-format-diff.py - ClangFormat Diff Reformatter ----- python ---===#
	#
	# Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
	# See https://llvm.org/LICENSE.txt for license information.
	# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
	#
	#===------------------------------------------------------------------------===#
	# -- coding: utf-8 --
	import glob
	import sys

	import numpy as np
	from PIL import Image

	def readFiles(images):
	loaded = [np.asarray(Image.open(img)) for img in images]
	return np.array(loaded)
	*
	Vin Vin 0 AC 1
	*
	* Put here your favorite amp model
	Z3b 2 Vin Vout
	R044 2 Vout 220k

	* Gyrator
	C034 2 3 0.027u

	import numpy as np
	from scipy.signal import freqs
	import matplotlib.pyplot as plt

	c = 47.0e-9
	r1 = 2.2e3
	r2 = 100.0e3

	a1 = [1.]
	<html>
	<head>
	<title></title>
	<link rel="stylesheet" href="/static/main.css?lang=fr">
	</head>
	<body>
	<center><div id="map-canvas" style="width:70%;height:500px"></div></center>

	<script src="/static/map.js?lang=fr" type="text/javascript"></script>
	<script type="text/javascript">
	# Almost copied entirely from http://www.clemens-sielaff.com/creating-your-own-python-3-redistributable-on-windows/

	import os, sys
	from glob import glob
	from shutil import copy, copytree

	RELEASE = 1
	DEBUG = 2

	def find_visual_studio():

	// You need to setup memory, how the parameter is updated
	// you need to setup max_interval_process, the number of samples before the next update
	class ProcessingClass
	{
	double parameter_target;
	double parameter_current;

	int64_t interval_process;
	public:
	/**
	*
	*/

	#include "parallelpropertybroadcaster.h"

	#include <iostream>
	#include <cstdlib>
	#include <unistd.h>
	#include <fcntl.h>
	#!/usr/bin/env python

	def simulate_annuity(amount, annuity, month_mean_interest, month_scale_interest):
	import numpy as np

	months = []

	while amount > 0:
	months.append(amount)
	if month_scale_interest: