cdiener

# Caching operator executes command if there is no saved version of the data
# just delete the saved file and code will be run again

'%c%' = function(ex, file) if(file.exists(file), env=parent.frame(4)) load(file) else evalq(ex))

# Example

# first execution
{ x <- rnorm(1e6); save(x, file="cache.Rd") } %c% "cache.Rd" # executes the sampling

cdiener

library(scales)
library(Hmisc)


emsa_plot = ggplot(emsa, aes(x=Name, y=intensity, shape=charge_ratio, col=charge_ratio, width=0.8)) + 
      geom_point(size=3, position=position_dodge(width=0.8)) +  
      stat_summary(fun.data=mean_sdl, mult=0, color="black", geom="errorbar", size=1, position=position_dodge(width=0.8)) +
      scale_color_grey(start=0, end=0.5,name="charge ratio") +
      scale_shape(name="charge ratio") +  
      scale_y_continuous(limits=c(-0.05,1), breaks=seq(0,1,by=0.2), label=percent) +  

cdiener

a = "bla"
b = "so on"
class(a) = append("my_class", class(a))

'+.my_class' = function(x,y) paste(x,y,sep=" and ")

print(a+b)

cdiener

# This line imports the modules we will need. The first is the sys module used
# to read the command line arguments. Second the Python Imaging Library to read
# the image and third numpy, a linear algebra/vector/matrix module.
import sys; from PIL import Image; import numpy as np

# This is a list of characters from low to high "blackness" in order to map the
# intensities of the image to ascii characters 
chars = np.asarray(list(' .,:;irsXA253hMHGS#9B&@'))
 
# Check whether all necessary command line arguments were given, if not exit and show a

cdiener

import sys; from PIL import Image; import numpy as np

chars = np.asarray(list(' .,:;irsXA253hMHGS#9B&@'))

if len(sys.argv) != 4: print( 'Usage: ./asciinator.py image scale factor' ); sys.exit()
f, SC, GCF, WCF = sys.argv[1], float(sys.argv[2]), float(sys.argv[3]), 7/4

img = Image.open(f)
S = ( round(img.size[0]*SC*WCF), round(img.size[1]*SC) )
img = np.sum( np.asarray( img.resize(S) ), axis=2)