mirror of
https://github.com/krahets/hello-algo.git
synced 2026-02-04 11:23:55 +08:00
* 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
64 lines
1.9 KiB
Ruby
64 lines
1.9 KiB
Ruby
=begin
|
|
File: binary_search.rb
|
|
Created Time: 2024-04-09
|
|
Author: Blue Bean (lonnnnnnner@gmail.com)
|
|
=end
|
|
|
|
### Binary search (closed interval) ###
|
|
def binary_search(nums, target)
|
|
# Initialize closed interval [0, n-1], i.e., i, j point to the first and last elements of the array
|
|
i, j = 0, nums.length - 1
|
|
|
|
# Loop, exit when the search interval is empty (empty when i > j)
|
|
while i <= j
|
|
# In theory, Ruby numbers can be infinitely large (limited by memory), no need to consider overflow
|
|
m = (i + j) / 2 # Calculate the midpoint index m
|
|
|
|
if nums[m] < target
|
|
i = m + 1 # This means target is in the interval [m+1, j]
|
|
elsif nums[m] > target
|
|
j = m - 1 # This means target is in the interval [i, m-1]
|
|
else
|
|
return m # Found the target element, return its index
|
|
end
|
|
end
|
|
|
|
-1 # Target element not found, return -1
|
|
end
|
|
|
|
### Binary search (left-closed right-open interval) ###
|
|
def binary_search_lcro(nums, target)
|
|
# Initialize left-closed right-open interval [0, n), i.e., i, j point to the first element and last element+1
|
|
i, j = 0, nums.length
|
|
|
|
# Loop, exit when the search interval is empty (empty when i = j)
|
|
while i < j
|
|
# Calculate the midpoint index m
|
|
m = (i + j) / 2
|
|
|
|
if nums[m] < target
|
|
i = m + 1 # This means target is in the interval [m+1, j)
|
|
elsif nums[m] > target
|
|
j = m - 1 # This means target is in the interval [i, m)
|
|
else
|
|
return m # Found the target element, return its index
|
|
end
|
|
end
|
|
|
|
-1 # Target element not found, return -1
|
|
end
|
|
|
|
### Driver Code ###
|
|
if __FILE__ == $0
|
|
target = 6
|
|
nums = [1, 3, 6, 8, 12, 15, 23, 26, 31, 35]
|
|
|
|
# Binary search (closed interval on both sides)
|
|
index = binary_search(nums, target)
|
|
puts "Index of target element 6 is #{index}"
|
|
|
|
# Binary search (left-closed right-open interval)
|
|
index = binary_search_lcro(nums, target)
|
|
puts "Index of target element 6 is #{index}"
|
|
end
|