Reputation: 648
Class Image initializes with an array of 0's and 1's. I have method transform
, such that
[[0,0,0],
[0,1,0],
[0,0,0]]
returns
[[0,1,0],
[1,1,1],
[0,1,0]]
I want to implement method blur(n), which iterates n times with transform, such calling blur(2) with
[[0,0,0,0,0,0,0,0,0],
[0,0,0,0,0,0,0,0,0],
[0,0,0,0,1,0,0,0,0],
[0,0,0,0,0,0,0,0,0],
[0,0,0,0,0,0,0,0,0]]
returns
[[0,0,0,0,1,0,0,0,0],
[0,0,0,1,1,1,0,0,0],
[0,0,1,1,1,1,1,0,0],
[0,0,0,1,1,1,0,0,0],
[0,0,0,0,1,0,0,0,0]]
I'm trying to use transform iteratively to achieve this, but I'm getting undefined method 'map' for #<Context::Image:0x000000012eb020>
when calling blur with an instance of Image. How can I iterate over each successive transformation, such that blur returns the latest version with the maximum n transformations?
class Image
attr_accessor :array
def initialize(array)
self.array = array
end
def output_image
self.array.each do |item|
puts item.join
end
end
def transform #changes adjacent a 1's adjacent 0's into 1
cloned = self.array.map(&:clone)
#scan original array for 1; map crosses into clone if found
self.array.each.with_index do |row, row_index|
row.each.with_index do |cell, col|
if cell == 1
cloned[row_index][col+1] = 1 unless col+1 >= row.length #copy right
cloned[row_index+1][col] = 1 unless row_index+1 >= cloned.length # copy down
cloned[row_index][col-1] = 1 unless col.zero? # copy left
cloned[row_index-1][col] = 1 unless row_index.zero? #copy up
end
end
end
cloned
end
def blur(n) #should call transform iteratively n times
blurred = Image.new(self)
n.times do
blurred = blurred.transform
end
blurred
end
end
Upvotes: 3
Views: 174
Reputation: 110675
You could use the Matrix class.
require 'matrix'
class Matrix
def el(r,c)
if r < 0 || r >= row_count || c < 0 || c >= column_count
0
else
self[r,c]
end
end
def transform
Matrix.build(row_count, column_count) { |r,c|
[el(r,c), el(r-1,c), el(r+1,c), el(r,c-1), el(r,c+1)].max }
end
end
Given a row-column pair, r, c
, the helper method el
returns 0 if the row or column is outside the bounds of the matrix and the value at [r,c]
otherwise.
nrows = 5
ncols = 5
m = Matrix.build(nrows, ncols) { |r,c| (r==nrows/2 && c==ncols/2) ? 1 : 0 }
#=> Matrix[[0, 0, 0, 0, 0],
# [0, 0, 0, 0, 0],
# [0, 0, 1, 0, 0],
# [0, 0, 0, 0, 0],
# [0, 0, 0, 0, 0]]
m = m.transform
#=> Matrix[[0, 0, 0, 0, 0],
# [0, 0, 1, 0, 0],
# [0, 1, 1, 1, 0],
# [0, 0, 1, 0, 0],
# [0, 0, 0, 0, 0]]
m = m.transform
# Matrix[[0, 0, 1, 0, 0],
# [0, 1, 1, 1, 0],
# [1, 1, 1, 1, 1],
# [0, 1, 1, 1, 0],
# [0, 0, 1, 0, 0]]
m.to_a
#=> [[0, 0, 1, 0, 0],
# [0, 1, 1, 1, 0],
# [1, 1, 1, 1, 1],
# [0, 1, 1, 1, 0],
# [0, 0, 1, 0, 0]]
Upvotes: 1
Reputation: 4970
map
is a method available to an Array
, but not to your custom class Image
.
I suggest calling map
on your instance variable @array
instead. Then, when your transforms are completed, create a new Image
instance with that transformed array.
Below is an example of code that should work. Note that transform and blur take input arrays as parameters, so they do not rely on any instance state. Therefore, I've made them class methods instead of instance methods. This allows your users to use them without having to create an instance, if all they want to do is the array transformation. It also makes those methods easy to extract to a module in future refactorings. I've added an instance method, blurred_image
, which applies the transformation to the instance and returns a new Image
instance.
def self.transform(input_array) #changes adjacent a 1's adjacent 0's into 1
cloned = input_array.map(&:clone)
#scan original array for 1; map crosses into clone if found
input_array.each.with_index do |row, row_index|
row.each.with_index do |cell, col|
if cell == 1
cloned[row_index][col+1] = 1 unless col+1 >= row.length #copy right
cloned[row_index+1][col] = 1 unless row_index+1 >= cloned.length # copy down
cloned[row_index][col-1] = 1 unless col.zero? # copy left
cloned[row_index-1][col] = 1 unless row_index.zero? #copy up
end
end
end
cloned
end
def self.blur(input_array, transform_count) #should call transform iteratively n times
blurred = input_array
transform_count.times { blurred = transform(blurred) }
Image.new(blurred)
end
def blurred_image(transform_count)
self.class.new(self.class.blur(array, transform_count))
end
Upvotes: 1