refactor

3 files changed, 108 insertions, 0 deletions

diff --git a/0004/Cargo.lock b/0004/Cargo.lock
new file mode 100644
index 0000000..c370f39
--- /dev/null
+++ b/0004/Cargo.lock
@@ -0,0 +1,7 @@
+# This file is automatically @generated by Cargo.
+# It is not intended for manual editing.
+version = 3
+
+[[package]]
+name = "p4"
+version = "0.1.0"
diff --git a/0004/Cargo.toml b/0004/Cargo.toml
new file mode 100644
index 0000000..264a6d2
--- /dev/null
+++ b/0004/Cargo.toml
@@ -0,0 +1,6 @@
+[package]
+name = "p4"
+version = "0.1.0"
+edition = "2021"
+
+[dependencies]
diff --git a/0004/src/main.rs b/0004/src/main.rs
new file mode 100644
index 0000000..bab223b
--- /dev/null
+++ b/0004/src/main.rs
@@ -0,0 +1,95 @@
+use std::cmp::{min, max};
+
+impl Solution {
+    fn vec_get(v: &Vec<i32>, n: i32) -> i32 {
+        if n < 0 {
+            return i32::MIN;
+        }
+        if n >= v.len() as i32 {
+            return i32::MAX;
+        }
+        return v[n as usize];
+    }
+    pub fn find_median_sorted_arrays(nums1: Vec<i32>, nums2: Vec<i32>) -> f64 {
+        let mut n1 = &nums1;
+        let mut n2 = &nums2;
+        if n1.len() < n2.len() {
+            n1 = &nums2;
+            n2 = &nums1;
+        }
+
+        if n2.len() == 0 || n1[n1.len()-1] <= n2[0] {
+            if (n1.len() + n2.len()) % 2 == 0 {
+                let mid_index = (n1.len() + n2.len()) / 2;
+                let right: i32;
+                if mid_index == n1.len() {
+                    right = n2[0];
+                } else {
+                    right = n1[mid_index];
+                }
+                return (n1[mid_index - 1] + right) as f64 / 2.0;
+            } else {
+                let mid_index = (n1.len() + n2.len()) / 2;
+                return n1[mid_index] as f64;
+            }
+        }
+        if n2[n2.len()-1] <= n1[0] {
+            if (n1.len() + n2.len()) % 2 == 0 {
+                let mid_index = (n1.len() + n2.len()) / 2 - n2.len();
+                let left: i32;
+                if mid_index <= 0 {
+                    left = n2[n2.len() - 1];
+                } else {
+                    left = n1[mid_index - 1];
+                }
+                return (left + n1[mid_index]) as f64 / 2.0;
+            } else {
+                let mid_index = (n1.len() + n2.len()) / 2 - n2.len();
+                return n1[mid_index] as f64;
+            }
+        }
+
+        let mut left: i32 = 0;
+        let mut right: i32 = n1.len() as i32 - 1;
+        let mut mid: i32 = 0;
+        let mut mid2: i32 = 0;
+        loop {
+            if left > right { break; }
+            mid = (left + right) / 2;
+            mid2 = (n1.len() + n2.len()) as i32 / 2 - (1 + mid) - 1;
+            if mid2 < -1 {
+                right = mid - 1;
+                continue;
+            }
+            if mid2 >= n2.len() as i32 {
+                left = mid + 1;
+                continue;
+            }
+            if n1[mid as usize] > Self::vec_get(n2, mid2 + 1) {
+                right = mid - 1;
+                continue;
+            }
+            if n1[mid as usize + 1] < Self::vec_get(n2, mid2) {
+                left = mid + 1;
+                continue;
+            }
+            break;
+        }
+        if (n1.len() + n2.len()) % 2 == 0 {
+            (max(n1[mid as usize], Self::vec_get(n2, mid2))
+                + min(n1[mid as usize + 1], Self::vec_get(n2, mid2 + 1))) as f64  / 2.0
+        } else {
+            min(n1[mid as usize +1], Self::vec_get(n2, mid2 + 1)) as f64
+        }
+    }
+}
+
+struct Solution {}
+fn main() {
+    println!("{}", Solution::find_median_sorted_arrays(vec![1,2,3], vec![4,5,6]));
+    println!("{}", Solution::find_median_sorted_arrays(vec![4,5,6], vec![1,2,3]));
+    println!("{}", Solution::find_median_sorted_arrays(vec![1,2,3], vec![5,6]));
+    println!("{}", Solution::find_median_sorted_arrays(vec![4,5,6], vec![1,2]));
+    println!("{}", Solution::find_median_sorted_arrays(vec![1,3,5], vec![2,4,6]));
+    println!("{}", Solution::find_median_sorted_arrays(vec![3], vec![1,2,4,5]));
+}
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