| import numpy as np | |
| from PIL import Image | |
| import matplotlib.pyplot as plt | |
| gray_img = Image.open('Lenna.png').convert("LA")#밝기와 알파값을 이용해서 Grayscale로 변환 | |
| gray_img.save("lenna_gray.png")#grayscale로 변환된 흑백 이미지를 출력 | |
| row = gray_img.size[0] | |
| col = gray_img.size[1] | |
| gamma1 = 0.88 |
Sometimes you want to have a subdirectory on the master branch be the root directory of a repository’s gh-pages branch. This is useful for things like sites developed with Yeoman, or if you have a Jekyll site contained in the master branch alongside the rest of your code.
For the sake of this example, let’s pretend the subfolder containing your site is named dist.
Remove the dist directory from the project’s .gitignore file (it’s ignored by default by Yeoman).
| <script type="text/javascript"> | |
| var gesturesSetUp = false; | |
| var ua = navigator.userAgent.toLowerCase(); | |
| var isAndroid = ua.indexOf("android") > -1; | |
| document.addEventListener('textlayerrendered', function (e) { | |
| if (gesturesSetUp || e.detail.pageNumber !== PDFViewerApplication.page) { | |
| return; | |
| } |
3 colheres pequenas de fermento bio 4 colheres medias farinha branca 2 colheres de açucar 100 ml agua morna 20 min
300 gramas farinha branca 150 ml agua morna 1 colher pequena de sal bater com colher de pau
| <head> | |
| <title>teste</title> | |
| </head> | |
| <body> | |
| {{> insertBookForm}} | |
| {{> removeItem}} |
| // JCGM_101_2008 | |
| // Numerical tolerance associated with a numerical value on javascript | |
| // page 31 | |
| //Example 1 | |
| a=0.00035;n=2;parseFloat("1e"+(a/(Math.pow(10,n-1))).toExponential().split("e")[1])/2 | |
| //Example 2 | |
| a=0.0004;n=1;parseFloat("1e"+(a/(Math.pow(10,n-1))).toExponential().split("e")[1])/2 | |
| //Example 3 | |
| a=2;n=1;parseFloat("1e"+(a/(Math.pow(10,n-1))).toExponential().split("e")[1])/2 |
| from lantz import Feat | |
| from lantz.messagebased import MessageBasedDriver | |
| # Part 1: resources | |
| # Create dict that will hold the classes | |
| # Set string that contain the class definition | |
| class_code = [] | |
| class_code.append({ | |
| "id": "abc", |
| fmt_nsignif <- function(x, n){ | |
| return(format(sprintf(signif(x, n), fmt=paste("%#.", n, "g", sep = "")), scientific=FALSE)) | |
| } | |
| get_nsignif <- function(x){ | |
| str <- gsub("^([0\\s\\D])*", "", x, perl=TRUE) | |
| n <- sum(nchar(strsplit(str, "\\.")[[1]])) | |
| return(n) | |
| } |
| formatToResolution = function(toFormat, model) { | |
| toFormat <- as.numeric(toFormat); | |
| modelResolution <- numberResolution(model); | |
| digits <- modelResolution; | |
| formatedNumber <- sprintf(paste("%.", toString(digits), "f", sep=""), round(toFormat, digits)); | |
| return(formatedNumber); | |
| } | |
| # Solve code fragment | |
| solve_snippet = function(code_snippet, var_to_return = "u", code_inject_before = ""){ | |
| code_snippet <- paste(code_inject_before, ";", code_snippet, "; return(" ,var_to_return, ")" ); |
| waveProc <- function(y, samples, sample_size, freq){ | |
| options(digits=10) | |
| require("signal") | |
| meas <- matrix(nrow = 50, ncol = 0) | |
| dimnames(meas) = list(c(seq(1,50)), c() ) | |
| mag_list = c() | |
| samples <- NROW(y) | |
| n <- NROW(y)-1 | |
| T <- as.numeric(sample_size)*as.numeric(samples) | |
| dt <- T / n |
