I hereby claim:
- I am mertyildiran on github.
- I am mertyildiran (https://keybase.io/mertyildiran) on keybase.
- I have a public key whose fingerprint is 1C54 7251 5AB4 9869 4568 A6E7 A5D9 771F 6FA0 6869
To claim this, I am signing this object:
I hereby claim:
To claim this, I am signing this object:
| \documentclass{article} | |
| \usepackage{circuitikz} | |
| \usepackage[width=5000mm,left=12mm,paperwidth=5000mm,height=3000mm,top=12mm,paperheight=3000mm]{geometry} | |
| \begin{document} | |
| \begin{circuitikz} | |
| \node[nand port] at (0,0) (nand1) {g1}; | |
| \node (o0) at (1,0) {$O_0$}; | |
| \draw (nand1.out) -- (o0); |
| \documentclass{article} | |
| \usepackage[width=1000mm,left=12mm,paperwidth=1000mm,height=5000mm,top=12mm,paperheight=5000mm]{geometry} | |
| \usepackage{circuitikz} | |
| \begin{document} | |
| % https://tex.stackexchange.com/a/32843/132144 | |
| \begin{circuitikz} | |
| \node[nand port] at (0,-400) (nand1) {}; | |
| \node[nand port] at (-2,1) (nand2) {}; |
| <html><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"> | |
| <title>Stencil generator</title> | |
| <link href="./vector/bootstrap.min.css" rel="stylesheet"> | |
| <link href="./vector/font-awesome.min.css" rel="stylesheet"> | |
| <link href="./vector/vectorcam.css" rel="stylesheet"> | |
| <script src="./vector/jquery.min.js"></script> | |
| <script src="./vector/bootstrap.min.js"></script> | |
| <!--<script src="./vector/vectorcam.js"></script>--> | |
| <script type="text/javascript" src="./js/jquery.form.js"></script> |
| #!/usr/bin/python | |
| import sys | |
| from subprocess import call | |
| import nltk | |
| from nltk import word_tokenize,sent_tokenize | |
| from nltk.tag.hunpos import HunposTagger | |
| def command(dict): | |
| while(True): |
| from pybrain.tools.shortcuts import buildNetwork | |
| from pybrain.datasets import SupervisedDataSet | |
| from pybrain.supervised.trainers import BackpropTrainer | |
| net = buildNetwork(3, 1, 1, bias=False) | |
| ds = SupervisedDataSet(3, 1) | |
| ds.addSample((0, 0, 1), (1,)) | |
| ds.addSample((0, 1, 1), (1,)) | |
| ds.addSample((1, 0, 1), (1,)) |
| #!/usr/bin/env python | |
| # -*- coding: utf-8 -*- | |
| # pip install gTTS | |
| # https://pypi.python.org/pypi/gTTS | |
| from gtts import gTTS | |
| tts = gTTS(text='Hello, how are you today?', lang='en') | |
| tts.save("hello.mp3") |
| #!/usr/bin/env python3 | |
| # pip install SpeechRecognition | |
| # https://pypi.python.org/pypi/SpeechRecognition/ | |
| # recognizer_instance.recognize_google(audio_data, key = None, language = "en-US", show_all = False) | |
| # Performs speech recognition on audio_data (an AudioData instance), using the Google Speech Recognition API. | |
| # The Google Speech Recognition API key is specified by key. If not specified, it uses a generic key that works out of the box. | |
| # This should generally be used for personal or testing purposes only, as it may be revoked by Google at any time. |
| start get | |
| ifzero print | |
| add total | |
| store total | |
| count | |
| goto start | |
| printf load total | |
| stop | |
| count add counter |
| #include <stdio.h> | |
| #include <math.h> | |
| int main(void) { | |
| int result, n; | |
| n = 0; | |
| while (++n < 17) { | |
| printf("%d\t", n); |