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Translate all code to English (#1836)
* Review the EN heading format. * Fix pythontutor headings. * Fix pythontutor headings. * bug fixes * Fix headings in **/summary.md * Revisit the CN-to-EN translation for Python code using Claude-4.5 * Revisit the CN-to-EN translation for Java code using Claude-4.5 * Revisit the CN-to-EN translation for Cpp code using Claude-4.5. * Fix the dictionary. * Fix cpp code translation for the multipart strings. * Translate Go code to English. * Update workflows to test EN code. * Add EN translation for C. * Add EN translation for CSharp. * Add EN translation for Swift. * Trigger the CI check. * Revert. * Update en/hash_map.md * Add the EN version of Dart code. * Add the EN version of Kotlin code. * Add missing code files. * Add the EN version of JavaScript code. * Add the EN version of TypeScript code. * Fix the workflows. * Add the EN version of Ruby code. * Add the EN version of Rust code. * Update the CI check for the English version code. * Update Python CI check. * Fix cmakelists for en/C code. * Fix Ruby comments
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=begin
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File: min_path_sum.rb
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Created Time: 2024-05-29
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Author: Xuan Khoa Tu Nguyen (ngxktuzkai2000@gmail.com)
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=end
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### Minimum path sum: brute force search ###
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def min_path_sum_dfs(grid, i, j)
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# If it's the top-left cell, terminate the search
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return grid[i][j] if i == 0 && j == 0
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# If row or column index is out of bounds, return +∞ cost
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return Float::INFINITY if i < 0 || j < 0
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# Calculate the minimum path cost from top-left to (i-1, j) and (i, j-1)
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up = min_path_sum_dfs(grid, i - 1, j)
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left = min_path_sum_dfs(grid, i, j - 1)
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# Return the minimum path cost from top-left to (i, j)
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[left, up].min + grid[i][j]
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end
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### Minimum path sum: memoization search ###
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def min_path_sum_dfs_mem(grid, mem, i, j)
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# If it's the top-left cell, terminate the search
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return grid[0][0] if i == 0 && j == 0
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# If row or column index is out of bounds, return +∞ cost
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return Float::INFINITY if i < 0 || j < 0
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# If there's a record, return it directly
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return mem[i][j] if mem[i][j] != -1
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# Minimum path cost for left and upper cells
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up = min_path_sum_dfs_mem(grid, mem, i - 1, j)
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left = min_path_sum_dfs_mem(grid, mem, i, j - 1)
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# Record and return the minimum path cost from top-left to (i, j)
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mem[i][j] = [left, up].min + grid[i][j]
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end
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### Minimum path sum: dynamic programming ###
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def min_path_sum_dp(grid)
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n, m = grid.length, grid.first.length
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# Initialize dp table
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dp = Array.new(n) { Array.new(m, 0) }
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dp[0][0] = grid[0][0]
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# State transition: first row
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(1...m).each { |j| dp[0][j] = dp[0][j - 1] + grid[0][j] }
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# State transition: first column
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(1...n).each { |i| dp[i][0] = dp[i - 1][0] + grid[i][0] }
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# State transition: rest of the rows and columns
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for i in 1...n
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for j in 1...m
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dp[i][j] = [dp[i][j - 1], dp[i - 1][j]].min + grid[i][j]
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end
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end
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dp[n -1][m -1]
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end
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### Minimum path sum: space-optimized DP ###
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def min_path_sum_dp_comp(grid)
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n, m = grid.length, grid.first.length
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# Initialize dp table
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dp = Array.new(m, 0)
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# State transition: first row
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dp[0] = grid[0][0]
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(1...m).each { |j| dp[j] = dp[j - 1] + grid[0][j] }
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# State transition: rest of the rows
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for i in 1...n
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# State transition: first column
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dp[0] = dp[0] + grid[i][0]
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# State transition: rest of the columns
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(1...m).each { |j| dp[j] = [dp[j - 1], dp[j]].min + grid[i][j] }
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end
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dp[m - 1]
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end
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### Driver Code ###
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if __FILE__ == $0
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grid = [[1, 3, 1, 5], [2, 2, 4, 2], [5, 3, 2, 1], [4, 3, 5, 2]]
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n, m = grid.length, grid.first.length
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# Brute-force search
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res = min_path_sum_dfs(grid, n - 1, m - 1)
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puts "Minimum path sum from top-left to bottom-right is #{res}"
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# Memoization search
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mem = Array.new(n) { Array.new(m, - 1) }
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res = min_path_sum_dfs_mem(grid, mem, n - 1, m -1)
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puts "Minimum path sum from top-left to bottom-right is #{res}"
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# Dynamic programming
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res = min_path_sum_dp(grid)
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puts "Minimum path sum from top-left to bottom-right is #{res}"
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# Space-optimized dynamic programming
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res = min_path_sum_dp_comp(grid)
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puts "Minimum path sum from top-left to bottom-right is #{res}"
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end
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