go-05-lru-cache
1.000
Challenge · difficulty 4/5
# Generic LRU cache
Implement **`solution.go`** in `package challenge` exporting a generic
least-recently-used cache:
```go
type LRUCache[K comparable, V any] struct { /* unexported fields */ }
func NewLRUCache[K comparable, V any](capacity int) *LRUCache[K, V]
func (c *LRUCache[K, V]) Get(key K) (V, bool)
func (c *LRUCache[K, V]) Put(key K, value V)
func (c *LRUCache[K, V]) Len() int
```
Behavior:
- `NewLRUCache(capacity)` creates an empty cache that holds at most `capacity`
entries. If `capacity <= 0`, treat it as `0`: the cache stores nothing and
`Len()` is always `0`.
- `Get(key)` returns the stored value and `true` if `key` is present, or the
zero value of `V` and `false` otherwise. A successful `Get` counts as a
**use**, making `key` the most-recently-used entry.
- `Put(key, value)` inserts or updates `key`. Inserting or updating makes `key`
the most-recently-used entry. If adding a **new** key would exceed `capacity`,
the **least-recently-used** entry is evicted first. Updating the value of an
existing key never evicts anything.
- `Len()` returns the current number of stored entries.
- Works for any `comparable` key type and any value type (e.g. `string`/`int`
keys, struct or pointer values).
Examples:
```go
c := NewLRUCache[string, int](2)
c.Put("a", 1)
c.Put("b", 2)
c.Get("a") // (1, true); now "b" is least-recently-used
c.Put("c", 3) // evicts "b"
c.Get("b") // (0, false)
c.Len() // 2
```
tests/solution_test.go
package challenge
import "testing"
func TestLRUBasicGetPut(t *testing.T) {
c := NewLRUCache[string, int](2)
if _, ok := c.Get("missing"); ok {
t.Fatalf("Get on empty cache returned ok=true")
}
c.Put("a", 1)
c.Put("b", 2)
if v, ok := c.Get("a"); !ok || v != 1 {
t.Fatalf("Get(a) = (%d, %v), want (1, true)", v, ok)
}
if v, ok := c.Get("b"); !ok || v != 2 {
t.Fatalf("Get(b) = (%d, %v), want (2, true)", v, ok)
}
if c.Len() != 2 {
t.Fatalf("Len = %d, want 2", c.Len())
}
}
func TestLRUZeroValueOnMiss(t *testing.T) {
c := NewLRUCache[int, string](2)
if v, ok := c.Get(99); ok || v != "" {
t.Fatalf("Get(miss) = (%q, %v), want (\"\", false)", v, ok)
}
}
func TestLRUEvictsLeastRecentlyUsed(t *testing.T) {
c := NewLRUCache[string, int](2)
c.Put("a", 1)
c.Put("b", 2)
c.Put("c", 3) // capacity 2: "a" is LRU, evicted
if _, ok := c.Get("a"); ok {
t.Fatalf("expected a to be evicted")
}
if v, ok := c.Get("b"); !ok || v != 2 {
t.Fatalf("Get(b) = (%d, %v), want (2, true)", v, ok)
}
if v, ok := c.Get("c"); !ok || v != 3 {
t.Fatalf("Get(c) = (%d, %v), want (3, true)", v, ok)
}
if c.Len() != 2 {
t.Fatalf("Len = %d, want 2", c.Len())
}
}
func TestLRUGetCountsAsUse(t *testing.T) {
c := NewLRUCache[string, int](2)
c.Put("a", 1)
c.Put("b", 2)
if v, ok := c.Get("a"); !ok || v != 1 { // "a" now most-recently-used
t.Fatalf("Get(a) = (%d, %v), want (1, true)", v, ok)
}
c.Put("c", 3) // "b" is LRU now, should be evicted
if _, ok := c.Get("b"); ok {
t.Fatalf("expected b to be evicted (Get should have refreshed a)")
}
if v, ok := c.Get("a"); !ok || v != 1 {
t.Fatalf("Get(a) = (%d, %v), want (1, true)", v, ok)
}
if v, ok := c.Get("c"); !ok || v != 3 {
t.Fatalf("Get(c) = (%d, %v), want (3, true)", v, ok)
}
}
func TestLRUUpdateExistingKey(t *testing.T) {
c := NewLRUCache[string, int](2)
c.Put("a", 1)
c.Put("b", 2)
c.Put("a", 100) // update value, refresh a; no eviction
if c.Len() != 2 {
t.Fatalf("Len = %d, want 2 (update must not evict)", c.Len())
}
if v, ok := c.Get("a"); !ok || v != 100 {
t.Fatalf("Get(a) = (%d, %v), want (100, true)", v, ok)
}
c.Put("c", 3) // "b" is LRU, evicted
if _, ok := c.Get("b"); ok {
t.Fatalf("expected b to be evicted after updating a then inserting c")
}
}
func TestLRUUpdateRefreshesRecency(t *testing.T) {
c := NewLRUCache[string, int](2)
c.Put("a", 1)
c.Put("b", 2)
c.Put("a", 10) // refresh "a" via update => "b" becomes LRU
c.Put("c", 3) // evicts "b"
if _, ok := c.Get("b"); ok {
t.Fatalf("expected b to be evicted; updating a should refresh its recency")
}
if v, ok := c.Get("a"); !ok || v != 10 {
t.Fatalf("Get(a) = (%d, %v), want (10, true)", v, ok)
}
}
func TestLRUCapacityOne(t *testing.T) {
c := NewLRUCache[int, int](1)
c.Put(1, 10)
c.Put(2, 20) // evicts 1
if _, ok := c.Get(1); ok {
t.Fatalf("expected key 1 evicted in capacity-1 cache")
}
if v, ok := c.Get(2); !ok || v != 20 {
t.Fatalf("Get(2) = (%d, %v), want (20, true)", v, ok)
}
if c.Len() != 1 {
t.Fatalf("Len = %d, want 1", c.Len())
}
}
func TestLRUZeroCapacity(t *testing.T) {
c := NewLRUCache[string, int](0)
c.Put("a", 1)
if _, ok := c.Get("a"); ok {
t.Fatalf("zero-capacity cache must store nothing")
}
if c.Len() != 0 {
t.Fatalf("Len = %d, want 0", c.Len())
}
}
func TestLRUStringValues(t *testing.T) {
c := NewLRUCache[int, string](3)
c.Put(1, "one")
c.Put(2, "two")
c.Put(3, "three")
c.Get(1) // refresh 1
c.Put(4, "four") // evicts 2 (LRU)
if _, ok := c.Get(2); ok {
t.Fatalf("expected key 2 evicted")
}
for _, want := range []struct {
k int
v string
}{{1, "one"}, {3, "three"}, {4, "four"}} {
if v, ok := c.Get(want.k); !ok || v != want.v {
t.Errorf("Get(%d) = (%q, %v), want (%q, true)", want.k, v, ok, want.v)
}
}
}
func TestLRUEvictionChain(t *testing.T) {
c := NewLRUCache[int, int](3)
for i := 0; i < 6; i++ {
c.Put(i, i*i)
}
// Only the last 3 inserts survive: 3,4,5.
for _, k := range []int{0, 1, 2} {
if _, ok := c.Get(k); ok {
t.Errorf("expected key %d evicted", k)
}
}
for _, k := range []int{3, 4, 5} {
if v, ok := c.Get(k); !ok || v != k*k {
t.Errorf("Get(%d) = (%d, %v), want (%d, true)", k, v, ok, k*k)
}
}
if c.Len() != 3 {
t.Fatalf("Len = %d, want 3", c.Len())
}
}
System prompt
You are an expert programmer. Solve the task exactly as specified. Output your solution as fenced code blocks using the required file name(s) and the exact function/type signatures requested. Prefer correctness; do not include prose outside code unless asked.Proposed solution
```go
package challenge
type node[K comparable, V any] struct {
key K
value V
prev *node[K, V]
next *node[K, V]
}
type LRUCache[K comparable, V any] struct {
capacity int
size int
items map[K]*node[K, V]
head *node[K, V] // Most recently used
tail *node[K, V] // Least recently used
}
func NewLRUCache[K comparable, V any](capacity int) *LRUCache[K, V] {
if capacity <= 0 {
capacity = 0
}
return &LRUCache[K, V]{
capacity: capacity,
items: make(map[K]*node[K, V]),
}
}
func (c *LRUCache[K, V]) Get(key K) (V, bool) {
if c.capacity == 0 {
var zero V
return zero, false
}
n, ok := c.items[key]
if !ok {
var zero V
return zero, false
}
c.moveToHead(n)
return n.value, true
}
func (c *LRUCache[K, V]) Put(key K, value V) {
if c.capacity == 0 {
return
}
if n, ok := c.items[key]; ok {
n.value = value
c.moveToHead(n)
return
}
n := &node[K, V]{key: key, value: value}
c.items[key] = n
c.addToHead(n)
c.size++
if c.size > c.capacity {
c.evictTail()
}
}
func (c *LRUCache[K, V]) Len() int {
return c.size
}
func (c *LRUCache[K, V]) addToHead(n *node[K, V]) {
n.prev = nil
n.next = c.head
if c.head != nil {
c.head.prev = n
}
c.head = n
if c.tail == nil {
c.tail = n
}
}
func (c *LRUCache[K, V]) removeNode(n *node[K, V]) {
if n.prev != nil {
n.prev.next = n.next
} else {
c.head = n.next
}
if n.next != nil {
n.next.prev = n.prev
} else {
c.tail = n.prev
}
}
func (c *LRUCache[K, V]) moveToHead(n *node[K, V]) {
if n == c.head {
return
}
c.removeNode(n)
c.addToHead(n)
}
func (c *LRUCache[K, V]) evictTail() {
if c.tail != nil {
delete(c.items, c.tail.key)
c.removeNode(c.tail)
c.size--
}
}
```Test output (stdout)
sAsUse","Output":"--- PASS: TestLRUGetCountsAsUse (0.00s)\n"}
{"Time":"2026-07-21T16:21:10.947315764+02:00","Action":"pass","Package":"challenge","Test":"TestLRUGetCountsAsUse","Elapsed":0}
{"Time":"2026-07-21T16:21:10.947317484+02:00","Action":"run","Package":"challenge","Test":"TestLRUUpdateExistingKey"}
{"Time":"2026-07-21T16:21:10.947318314+02:00","Action":"output","Package":"challenge","Test":"TestLRUUpdateExistingKey","Output":"=== RUN TestLRUUpdateExistingKey\n"}
{"Time":"2026-07-21T16:21:10.947319914+02:00","Action":"output","Package":"challenge","Test":"TestLRUUpdateExistingKey","Output":"--- PASS: TestLRUUpdateExistingKey (0.00s)\n"}
{"Time":"2026-07-21T16:21:10.947321634+02:00","Action":"pass","Package":"challenge","Test":"TestLRUUpdateExistingKey","Elapsed":0}
{"Time":"2026-07-21T16:21:10.947322564+02:00","Action":"run","Package":"challenge","Test":"TestLRUUpdateRefreshesRecency"}
{"Time":"2026-07-21T16:21:10.947323384+02:00","Action":"output","Package":"challenge","Test":"TestLRUUpdateRefreshesRecency","Output":"=== RUN TestLRUUpdateRefreshesRecency\n"}
{"Time":"2026-07-21T16:21:10.947325574+02:00","Action":"output","Package":"challenge","Test":"TestLRUUpdateRefreshesRecency","Output":"--- PASS: TestLRUUpdateRefreshesRecency (0.00s)\n"}
{"Time":"2026-07-21T16:21:10.947328784+02:00","Action":"pass","Package":"challenge","Test":"TestLRUUpdateRefreshesRecency","Elapsed":0}
{"Time":"2026-07-21T16:21:10.947331424+02:00","Action":"run","Package":"challenge","Test":"TestLRUCapacityOne"}
{"Time":"2026-07-21T16:21:10.947332244+02:00","Action":"output","Package":"challenge","Test":"TestLRUCapacityOne","Output":"=== RUN TestLRUCapacityOne\n"}
{"Time":"2026-07-21T16:21:10.947346714+02:00","Action":"output","Package":"challenge","Test":"TestLRUCapacityOne","Output":"--- PASS: TestLRUCapacityOne (0.00s)\n"}
{"Time":"2026-07-21T16:21:10.947348014+02:00","Action":"pass","Package":"challenge","Test":"TestLRUCapacityOne","Elapsed":0}
{"Time":"2026-07-21T16:21:10.947348994+02:00","Action":"run","Package":"challenge","Test":"TestLRUZeroCapacity"}
{"Time":"2026-07-21T16:21:10.947350134+02:00","Action":"output","Package":"challenge","Test":"TestLRUZeroCapacity","Output":"=== RUN TestLRUZeroCapacity\n"}
{"Time":"2026-07-21T16:21:10.947351264+02:00","Action":"output","Package":"challenge","Test":"TestLRUZeroCapacity","Output":"--- PASS: TestLRUZeroCapacity (0.00s)\n"}
{"Time":"2026-07-21T16:21:10.947352894+02:00","Action":"pass","Package":"challenge","Test":"TestLRUZeroCapacity","Elapsed":0}
{"Time":"2026-07-21T16:21:10.947353834+02:00","Action":"run","Package":"challenge","Test":"TestLRUStringValues"}
{"Time":"2026-07-21T16:21:10.947355024+02:00","Action":"output","Package":"challenge","Test":"TestLRUStringValues","Output":"=== RUN TestLRUStringValues\n"}
{"Time":"2026-07-21T16:21:10.947356324+02:00","Action":"output","Package":"challenge","Test":"TestLRUStringValues","Output":"--- PASS: TestLRUStringValues (0.00s)\n"}
{"Time":"2026-07-21T16:21:10.947358714+02:00","Action":"pass","Package":"challenge","Test":"TestLRUStringValues","Elapsed":0}
{"Time":"2026-07-21T16:21:10.947359924+02:00","Action":"run","Package":"challenge","Test":"TestLRUEvictionChain"}
{"Time":"2026-07-21T16:21:10.947360774+02:00","Action":"output","Package":"challenge","Test":"TestLRUEvictionChain","Output":"=== RUN TestLRUEvictionChain\n"}
{"Time":"2026-07-21T16:21:10.947368844+02:00","Action":"output","Package":"challenge","Test":"TestLRUEvictionChain","Output":"--- PASS: TestLRUEvictionChain (0.00s)\n"}
{"Time":"2026-07-21T16:21:10.947370364+02:00","Action":"pass","Package":"challenge","Test":"TestLRUEvictionChain","Elapsed":0}
{"Time":"2026-07-21T16:21:10.947372964+02:00","Action":"output","Package":"challenge","Output":"PASS\n"}
{"Time":"2026-07-21T16:21:10.947571234+02:00","Action":"output","Package":"challenge","Output":"ok \tchallenge\t0.001s\n"}
{"Time":"2026-07-21T16:21:10.947589634+02:00","Action":"pass","Package":"challenge","Elapsed":0.001}
Reasoning (chain-of-thought)
The user wants a generic LRU cache implementation in Go.
Key requirements:
1. Package name: `challenge`
2. File name: `solution.go`
3. Type: `LRUCache[K comparable, V any]`
4. Functions: `NewLRUCache`, `Get`, `Put`, `Len`
5. Behavior:
- Capacity constraint.
- `capacity <= 0` means empty cache.
- `Get` updates recency.
- `Put` updates recency.
- Eviction of LRU item when capacity exceeded on new insert.
- Generic types.
Implementation details:
- To achieve O(1) for Get and Put, I need:
- A hash map (`map[K]*node`) for fast lookup.
- A doubly linked list to maintain order of usage (most recent at head, least recent at tail).
- When `Get` is called:
- Check map. If not found, return zero value, false.
- If found, move node to head of list (most recent). Return value.
- When `Put` is called:
- If key exists:
- Update value in node.
- Move node to head.
- If key does not exist:
- Create new node.
- Add to map.
- Add to head of list.
- If size > capacity:
- Remove tail node from list.
- Remove key from map.
- Edge case: `capacity <= 0`.
- `NewLRUCache` should handle this. If capacity is 0, `Put` does nothing, `Get` always returns false.
Let's draft the code structure.
```go
package challenge
type node[K comparable, V any] struct {
key K
value V
prev *node[K, V]
next *node[K, V]
}
type LRUCache[K comparable, V any] struct {
capacity int
size int
items map[K]*node[K, V]
head *node[K, V] // Most recently used
tail *node[K, V] // Least recently used
}
func NewLRUCache[K comparable, V any](capacity int) *LRUCache[K, V] {
if capacity <= 0 {
capacity = 0
}
return &LRUCache[K, V]{
capacity: capacity,
items: make(map[K]*node[K, V]),
}
}
func (c *LRUCache[K, V]) Get(key K) (V, bool) {
if c.capacity == 0 {
var zero V
return zero, false
}
node, ok := c.items[key]
if !ok {
var zero V
return zero, false
}
c.moveToHead(node)
return node.value, true
}
func (c *LRUCache[K, V]) Put(key K, value V) {
if c.capacity == 0 {
return
}
if node, ok := c.items[key]; ok {
node.value = value
c.moveToHead(node)
return
}
newNode := &node[K, V]{key: key, value: value}
c.items[key] = newNode
c.addToHead(newNode)
c.size++
if c.size > c.capacity {
c.evictTail()
}
}
func (c *LRUCache[K, V]) Len() int {
return c.size
}
// Helper methods
func (c *LRUCache[K, V]) addToHead(n *node[K, V]) {
if c.head == nil {
c.head = n
c.tail = n
} else {
n.next = c.head
c.head.prev = n
c.head = n
}
}
func (c *LRUCache[K, V]) removeNode(n *node[K, V]) {
if n.prev != nil {
n.prev.next = n.next
} else {
c.head = n.next
}
if n.next != nil {
n.next.prev = n.prev
} else {
c.tail = n.prev
}
}
func (c *LRUCache[K, V]) moveToHead(n *node[K, V]) {
if n == c.head {
return
}
c.removeNode(n)
c.addToHead(n)
}
func (c *LRUCache[K, V]) evictTail() {
if c.tail != nil {
delete(c.items, c.tail.key)
c.removeNode(c.tail)
c.size--
}
}
```
Wait, `removeNode` logic needs to be careful with pointers.
If `n` is head, `c.head` becomes `n.next`.
If `n` is tail, `c.tail` becomes `n.prev`.
The logic inside `removeNode` looks correct.
Let's double check the `capacity <= 0` logic.
If `capacity` is 0:
- `NewLRUCache` sets capacity to 0.
- `Get` returns false immediately.
- `Put` returns immediately.
- `Len` returns 0.
This satisfies the requirement "treat it as 0: the cache stores nothing".
One detail: `NewLRUCache` signature is `func NewLRUCache[K comparable, V any](capacity int) *LRUCache[K, V]`.
The type parameters are inferred from usage or specified explicitly.
Let's refine the code to be clean and robust.
```go
package challenge
type node[K comparable, V any] struct {
key K
value V
prev *node[K, V]
next *node[K, V]
}
type LRUCache[K comparable, V any] struct {
capacity int
size int
items map[K]*node[K, V]
head *node[K, V] // Most recently used
tail *node[K, V] // Least recently used
}
func NewLRUCache[K comparable, V any](capacity int) *LRUCache[K, V] {
if capacity <= 0 {
capacity = 0
}
return &LRUCache[K, V]{
capacity: capacity,
items: make(map[K]*node[K, V]),
}
}
func (c *LRUCache[K, V]) Get(key K) (V, bool) {
if c.capacity == 0 {
var zero V
return zero, false
}
n, ok := c.items[key]
if !ok {
var zero V
return zero, false
}
c.moveToHead(n)
return n.value, true
}
func (c *LRUCache[K, V]) Put(key K, value V) {
if c.capacity == 0 {
return
}
if n, ok := c.items[key]; ok {
n.value = value
c.moveToHead(n)
return
}
n := &node[K, V]{key: key, value: value}
c.items[key] = n
c.addToHead(n)
c.size++
if c.size > c.capacity {
c.evictTail()
}
}
func (c *LRUCache[K, V]) Len() int {
return c.size
}
func (c *LRUCache[K, V]) addToHead(n *node[K, V]) {
n.prev = nil
n.next = c.head
if c.head != nil {
c.head.prev = n
}
c.head = n
if c.tail == nil {
c.tail = n
}
}
func (c *LRUCache[K, V]) removeNode(n *node[K, V]) {
if n.prev != nil {
n.prev.next = n.next
} else {
c.head = n.next
}
if n.next != nil {
n.next.prev = n.prev
} else {
c.tail = n.prev
}
}
func (c *LRUCache[K, V]) moveToHead(n *node[K, V]) {
if n == c.head {
return
}
c.removeNode(n)
c.addToHead(n)
}
func (c *LRUCache[K, V]) evictTail() {
if c.tail != nil {
delete(c.items, c.tail.key)
c.removeNode(c.tail)
c.size--
}
}
```
Wait, `addToHead` sets `n.prev = nil` and `n.next = c.head`.
If `c.head` is not nil, `c.head.prev = n`.
Then `c.head = n`.
If `c.tail` is nil (list was empty), `c.tail = n`.
This looks correct.
`removeNode`:
If `n.prev` exists, link it to `n.next`. Else `n` was head, so `c.head` becomes `n.next`.
If `n.next` exists, link it to `n.prev`. Else `n` was tail, so `c.tail` becomes `n.prev`.
This looks correct.
`evictTail`:
Delete from ma
…[8408 chars elided]…
zero, false
}
n, ok := c.items[key]
if !ok {
var zero V
return zero, false
}
c.moveToHead(n)
return n.value, true
}
func (c *LRUCache[K, V]) Put(key K, value V) {
if c.capacity == 0 {
return
}
if n, ok := c.items[key]; ok {
n.value = value
c.moveToHead(n)
return
}
n := &node[K, V]{key: key, value: value}
c.items[key] = n
c.addToHead(n)
c.size++
if c.size > c.capacity {
c.evictTail()
}
}
func (c *LRUCache[K, V]) Len() int {
return c.size
}
func (c *LRUCache[K, V]) addToHead(n *node[K, V]) {
n.prev = nil
n.next = c.head
if c.head != nil {
c.head.prev = n
}
c.head = n
if c.tail == nil {
c.tail = n
}
}
func (c *LRUCache[K, V]) removeNode(n *node[K, V]) {
if n.prev != nil {
n.prev.next = n.next
} else {
c.head = n.next
}
if n.next != nil {
n.next.prev = n.prev
} else {
c.tail = n.prev
}
}
func (c *LRUCache[K, V]) moveToHead(n *node[K, V]) {
if n == c.head {
return
}
c.removeNode(n)
c.addToHead(n)
}
func (c *LRUCache[K, V]) evictTail() {
if c.tail != nil {
delete(c.items, c.tail.key)
c.removeNode(c.tail)
c.size--
}
}
```
I'll wrap it in the requested format.
Wait, I should check if `removeNode` needs to handle the case where `n` is not in the list?
In this implementation, `removeNode` is only called on nodes that are guaranteed to be in the list (either from `moveToHead` where `n` comes from `items`, or `evictTail` where `n` is `tail`). So it's safe.
One edge case: `moveToHead` calls `removeNode` then `addToHead`.
If `n` is head, `moveToHead` returns early.
If `n` is tail, `removeNode` updates `tail` to `n.prev`. `addToHead` puts `n` at head.
Correct.
The solution seems robust.
Final check on the prompt requirements:
- `solution.go`
- `package challenge`
- `LRUCache[K comparable, V any]`
- `NewLRUCache`, `Get`, `Put`, `Len`
- Behavior matches.
I'm ready.
One small style point: `var zero V` vs `var v V`. `zero` is descriptive.
Also, `c.items` map initialization. `make(map[K]*node[K, V])` is correct.
I will provide the code block now.