Read HFS+ from Linux
Read HFS+ from Linux
#MelawanAsap
List Folders and Files Recursively using Google App Script.
Minggu Pagi.
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#MelawanAsap
#MelawanAsap
#MelawanAsap
Global Variable on Google App Script
El Capitan 10.11.1
:) Xcode update, iTunes, and Command Line Tools
#MelawanAsap
List Files and Folder in Certain Folder in Google Drive using Google App Script
Here it is. I used getFolderById() to determine the folder I want to list the files and folders inside.  I used home as variable name of the folder home.getFiles() is used to gets a collection of all files in home. home.getFolders() is used to gets a collection of all folders in home. I have list and row  as array or tuple or 'list' to accommodate the result. Maybe it's wasting time to have two variable, but I plan to write code to list 'files and folders inside subfolders' recursively. I know maybe it didn't even need that array variable, :). But just in case...
Hold on, back up!
Google App Script is fun, :) Here's my simple hello world, :) What I did is create "form", which actually have no form at all, just submit button to activate listFilesNFolders(form) function on script (Code.gs file) The code will return output 'tadaa...', 'heheh...', and 'Hello World!!!'. Notice the html formatting, :)
#MelawanAsap
#MelawanAsap
List All Files and Folders into Google Spreadsheet using Google App Script
Working with Google Script
I heard it's powerful, it could be integrated with Google Drive, so I decided to give it a try. Try to make a form Name, NIM, Offering, and a button to upload a file. Basically, it's super simple form. It will upload file to my Google Drive, place it in folder NIM (or create it if there's no folder match with NIM). As addition, I created spreadsheet manually and update its content, the list of files in the folders. (still got a trouble) function uploadFiles(form) { try { var dropbox = "Testing"; var folders = DriveApp.getFoldersByName(dropbox); if (folders.hasNext()) { var folder = folders.next(); } else { var folder = DriveApp.createFolder(dropbox); } folders = folder.getFoldersByName(form.myNIM); if(folders.hasNext()){ var anak = folders.next(); } else{ var anak = folder.createFolder(form.myNIM); } var blob = form.myFile; var file = anak.createFile(blob); file.setDescription("Uploaded by " + form.myName); listFilesInFolder(folder) return "File uploaded successfully " + file.getUrl(); } catch (error) { return error.toString(); } } function listFilesInFolder(folderName) { //var ssNew = SpreadsheetApp.create("Rekap"); //https://drive.google.com/open?id=11AzGyCcWfvcE_mUltyjAx17wJDghOS-YH5e_zrHT-zc //https://docs.google.com/spreadsheets/d/11AzGyCcWfvcE_mUltyjAx17wJDghOS-YH5e_zrHT-zc/edit#gid=0 //var ss = SpreadsheetApp.openByUrl('https://docs.google.com/spreadsheets/d/abc1234567/edit'); var ss = SpreadsheetApp.openById("11AzGyCcWfvcE_mUltyjAx17wJDghOS-YH5e_zrHT-zc"); SpreadsheetApp.setActiveSpreadsheet(ss); var activeSpreadsheet = SpreadsheetApp.getActiveSpreadsheet(); /* var myNewSheet = activeSpreadsheet.getSheetByName("Rekap"); if (myNewSheet != null) { activeSpreadsheet.deleteSheet(myNewSheet); } myNewSheet = activeSpreadsheet.insertSheet(); myNewSheet.setName("Rekap"); */ //0BxZS62a5NdNYUGxySmp2QW41OUU //var folder = DriveApp.getFoldersByName(folderName).next(); var id = '0BxZS62a5NdNYUGxySmp2QW41OUU'; var folder = DriveApp.getFolderById(id); var contents = folder.getFiles(); var file, data, sheet = SpreadsheetApp.getActiveSheet(); sheet.clear(); sheet.appendRow(["Name", "Date", "Size", "URL", "Download", "Description", "Type"]); //sheet.appendRow(["Tadaa..."]) for (var i = 0; i < contents.length; i++) { file = contents[i]; if (file.getFileType() == "SPREADSHEET") { continue; } data = [ file.getName(), file.getDateCreated(), file.getSize(), file.getUrl(), "https://docs.google.com/uc?export=download&confirm=no_antivirus&id=" + file.getId(), file.getDescription(), file.getFileType().toString() ]; sheet.appendRow(data); } }; function doGet(e) { return HtmlService.createHtmlOutputFromFile('form.html'); }
#MelawanAsap
Working with Audio in Python
What I did is read a .wav file, extract the raw audio data, (I use first 1/20 data for sample), transform it using Fast Fourier Transform, manipulate it (I only use the first cluster frequency spectrum ), transform it back using InverseFFT. I use matplotlib and numpy module to plot and compute. I also use sys and wave module as 'interface'. import matplotlib.pyplot as plt import numpy as np import wave import sys spf = wave.open('violin2.wav','r') #Extract Raw Audio from Wav File signal = spf.readframes(-1) signal = np.fromstring(signal, 'Int16') fs = spf.getframerate() print fs #If Stereo if spf.getnchannels() == 2: print 'Just mono files' sys.exit(0) Time=np.linspace(0, len(signal)/fs, num=len(signal)) sample = [] st=[] for i in np.arange(len(signal)/20): sample.append( signal[i]) st.append(Time[i]) ft=np.fft.fft(sample) pft=[] for i in np.arange(len(ft)): if i<500: data-blogger-escaped-ample="" data-blogger-escaped-else:="" data-blogger-escaped-from="" data-blogger-escaped-ft="" data-blogger-escaped-i="" data-blogger-escaped-ift="" data-blogger-escaped-ignal="" data-blogger-escaped-ime="" data-blogger-escaped-pft.append="" data-blogger-escaped-pft="" data-blogger-escaped-plt.figure="" data-blogger-escaped-plt.grid="" data-blogger-escaped-plt.plot="" data-blogger-escaped-plt.show="" data-blogger-escaped-plt.title="" data-blogger-escaped-pre="" data-blogger-escaped-rue="" data-blogger-escaped-sample="" data-blogger-escaped-signal="" data-blogger-escaped-st="" data-blogger-escaped-wave...=""> .
Future, PIL, Numpy and Pylab in Python
:)
:)
Read Pixel Value of Image using Python and PIL Module
Python Imaging Library on El Capitan
Split Screen on El Capitan
Keynote 6.6 Line Draw Animation on OS X El Capitan
iWork Update on El Capitan
My Pages, Number and Keynote received new feature. ...and hey, my view is increased twofold, :D (And my Keynote on iPhone 4s is upgraded as well)
Belajar.
Belajar.
Pasir
Pasir
GCC 5.2 on El Capitan
Lagrange Interpolation using Python
Split Screen between MacVim and Safari on El Capitan.
Walking Sine on Visual Python GDisplay
Fourier Transform using Delphi
It's not Discrete Fourier Transform. Instead, I use continue definition (using Integral, not Sum) to compute the transformation. I know, it's weird, but it's worth a try, :) What I did is transform signal with 3 frequency, remove the two frequency and trasform back to time-signal.
HFS+ (Journaled) Flash Drive on Ubuntu
HFS+ (Journaled) Flash Drive on Ubuntu
#MelawanAsap
#MelawanAsap
Yang tak terlupa, saat ada acara pembacaan surat YaaSin di rumah, ikut tradisi setempat, saat bapak meninggal. Yeah, bapak meninggal, itu sulit dilupakan. Tapi beberapa minggu ini ada yang mengungkit-ungkit kenangan itu lagi, kebakaran di Sumatera dan Kalimantan. Bukan tentang bapak yang diungkit (mudah sekali mengingat kejadiaan itu), tetapi tentang asap. Apa yang terjadi saat pembacaan surat YaaSin? Tentu saja, membaca surat YaaSin bersama-sama, diawali surat-surat pendek untuk pemanasan, Yaasin, trus doa-doa yang dipimpin secara estafet oleh dua pemuka agama. Yang terungkit oleh kebakaran di SwarnaDwipa dan Borneo justru sebelum acara. Ketika tamu mulai datang dan menunggu yang lain. Harus menemui tamu itu jelas, dan kebanyakan mereka adalah perokok! Hm, mereka merokok sebelum mendoakan seseorang yang meninggal akibat rokok, ckckck. Ketika acara akan mulai, tamu sudah semakin banyak, delapan puluh lebih. Ruangan sudah penuh hingga meluber ke halaman. Juga asap rokoknya. Sehari, ..., OK Dua hari, OOOOK... Hari ketiga, KO..., ke bidan, kena radang tenggorokan parah, harus minum 7 jenis pil.
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