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Commit556e0b1

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docs(benchmark): update benchmark for mutative v1.0.9
1 parenta38f0dc commit556e0b1

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‎README.md‎

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@@ -110,23 +110,23 @@ Mutative is up to 6x faster than naive handcrafted reducer for updating immutabl
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>Mutative passed all of Immer's test cases.
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Measure(ops/sec) to update 50K arrays and 1K objects, bigger is better([view source](https://github.com/unadlib/mutative/blob/main/test/performance/benchmark.ts)).[Mutative v1.0.5 vs Immer v10.1.1]
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Measure(ops/sec) to update 50K arrays and 1K objects, bigger is better([view source](https://github.com/unadlib/mutative/blob/main/test/performance/benchmark.ts)).[Mutative v1.0.9 vs Immer v10.1.1]
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![Benchmark](benchmark.jpg)
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```
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Naive handcrafted reducer - No Freeze x 4,442 ops/sec ±0.38% (95 runs sampled)
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Mutative - No Freeze x 6,199 ops/sec ±0.79% (89 runs sampled)
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Immer - No Freeze x 5.30 ops/sec ±0.38% (18 runs sampled)
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Naive handcrafted reducer - No Freeze x 4,447 ops/sec ±0.85% (96 runs sampled)
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Mutative - No Freeze x 6,246 ops/sec ±1.29% (92 runs sampled)
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Immer - No Freeze x 5.26 ops/sec ±0.56% (18 runs sampled)
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Mutative - Freeze x974 ops/sec ±1.77% (92 runs sampled)
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Immer - Freeze x376 ops/sec ±0.67% (92 runs sampled)
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Mutative - Freeze x950 ops/sec ±0.95% (96 runs sampled)
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Immer - Freeze x377 ops/sec ±0.37% (93 runs sampled)
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Mutative - Patches and No Freeze x969 ops/sec ±0.99% (97 runs sampled)
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Immer - Patches and No Freeze x 5.27 ops/sec ±0.36% (18 runs sampled)
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Mutative - Patches and No Freeze x978 ops/sec ±0.16% (97 runs sampled)
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Immer - Patches and No Freeze x 5.23 ops/sec ±0.25% (18 runs sampled)
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Mutative - Patches and Freeze x514 ops/sec ±0.97% (95 runs sampled)
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Immer - Patches and Freeze x275 ops/sec ±0.74% (89 runs sampled)
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Mutative - Patches and Freeze x504 ops/sec ±1.01% (94 runs sampled)
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Immer - Patches and Freeze x272 ops/sec ±0.83% (89 runs sampled)
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The fastest method is Mutative - No Freeze
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```
@@ -137,7 +137,7 @@ Run `yarn benchmark` to measure performance.
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Immer relies on auto-freeze to be enabled, if auto-freeze is disabled, Immer will have a huge performance drop and Mutative will have a huge performance lead, especially with large data structures it will have a performance lead of more than 50x.
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So if you are using Immer, you will have to enable auto-freeze for performance. Mutative is disabled auto-freeze by default. With the default configuration of both, we can see the 16x performance gap between Mutative (`6,199 ops/sec`) and Immer (`376 ops/sec`).
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So if you are using Immer, you will have to enable auto-freeze for performance. Mutative is disabled auto-freeze by default. With the default configuration of both, we can see the 16x performance gap between Mutative (`6,246 ops/sec`) and Immer (`377 ops/sec`).
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Overall, Mutative has a huge performance lead over Immer in[more performance testing scenarios](https://github.com/unadlib/mutative/tree/main/test/performance). Run`yarn performance` to get all the performance results locally.
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‎benchmark-array.jpg‎

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‎benchmark-class.jpg‎

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‎benchmark-object.jpg‎

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‎benchmark.jpg‎

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‎website/blog/releases/1.0/index.md‎

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Original file line numberDiff line numberDiff line change
@@ -81,23 +81,23 @@ const state = create(baseState, (draft) => {
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>Mutative passed all of Immer's test cases.
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Measure(ops/sec) to update 50K arrays and 1K objects, bigger is better([view source](https://github.com/unadlib/mutative/blob/main/test/performance/benchmark.ts)).[Mutative v1.0.5 vs Immer v10.1.1]
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Measure(ops/sec) to update 50K arrays and 1K objects, bigger is better([view source](https://github.com/unadlib/mutative/blob/main/test/performance/benchmark.ts)).[Mutative v1.0.9 vs Immer v10.1.1]
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![Benchmark](img/benchmark.jpg)
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```
89-
Naive handcrafted reducer - No Freeze x 4,442 ops/sec ±0.38% (95 runs sampled)
90-
Mutative - No Freeze x 6,199 ops/sec ±0.79% (89 runs sampled)
91-
Immer - No Freeze x 5.30 ops/sec ±0.38% (18 runs sampled)
89+
Naive handcrafted reducer - No Freeze x 4,447 ops/sec ±0.85% (96 runs sampled)
90+
Mutative - No Freeze x 6,246 ops/sec ±1.29% (92 runs sampled)
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Immer - No Freeze x 5.26 ops/sec ±0.56% (18 runs sampled)
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Mutative - Freeze x974 ops/sec ±1.77% (92 runs sampled)
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Immer - Freeze x376 ops/sec ±0.67% (92 runs sampled)
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Mutative - Freeze x950 ops/sec ±0.95% (96 runs sampled)
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Immer - Freeze x377 ops/sec ±0.37% (93 runs sampled)
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Mutative - Patches and No Freeze x969 ops/sec ±0.99% (97 runs sampled)
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Immer - Patches and No Freeze x 5.27 ops/sec ±0.36% (18 runs sampled)
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Mutative - Patches and No Freeze x978 ops/sec ±0.16% (97 runs sampled)
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Immer - Patches and No Freeze x 5.23 ops/sec ±0.25% (18 runs sampled)
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Mutative - Patches and Freeze x514 ops/sec ±0.97% (95 runs sampled)
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Immer - Patches and Freeze x275 ops/sec ±0.74% (89 runs sampled)
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Mutative - Patches and Freeze x504 ops/sec ±1.01% (94 runs sampled)
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Immer - Patches and Freeze x272 ops/sec ±0.83% (89 runs sampled)
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The fastest method is Mutative - No Freeze
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```
@@ -108,7 +108,7 @@ Run `yarn benchmark` to measure performance.
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Immer relies on auto-freeze to be enabled, if auto-freeze is disabled, Immer will have a huge performance drop and Mutative will have a huge performance lead, especially with large data structures it will have a performance lead of more than 50x.
110110

111-
So if you are using Immer, you will have to enable auto-freeze for performance. Mutative is disabled auto-freeze by default. With the default configuration of both, we can see the 16x performance gap between Mutative (`6,199 ops/sec`) and Immer (`376 ops/sec`).
111+
So if you are using Immer, you will have to enable auto-freeze for performance. Mutative is disabled auto-freeze by default. With the default configuration of both, we can see the 16x performance gap between Mutative (`6,246 ops/sec`) and Immer (`377 ops/sec`).
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Overall, Mutative has a huge performance lead over Immer in[more performance testing scenarios](https://github.com/unadlib/mutative/tree/main/test/performance).
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‎website/docs/extra-topics/comparison-with-immer.md‎

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@@ -25,23 +25,23 @@ Mutative has fewer bugs such as accidental draft escapes than Immer, [view detai
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>Mutative passed all of Immer's test cases.
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Measure(ops/sec) to update 50K arrays and 1K objects, bigger is better([view source](https://github.com/unadlib/mutative/blob/main/test/performance/benchmark.ts)).[Mutative v1.0.5 vs Immer v10.1.1]
28+
Measure(ops/sec) to update 50K arrays and 1K objects, bigger is better([view source](https://github.com/unadlib/mutative/blob/main/test/performance/benchmark.ts)).[Mutative v1.0.9 vs Immer v10.1.1]
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![Benchmark](img/benchmark.jpg)
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```
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Naive handcrafted reducer - No Freeze x 4,442 ops/sec ±0.38% (95 runs sampled)
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Mutative - No Freeze x 6,199 ops/sec ±0.79% (89 runs sampled)
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Immer - No Freeze x 5.30 ops/sec ±0.38% (18 runs sampled)
33+
Naive handcrafted reducer - No Freeze x 4,447 ops/sec ±0.85% (96 runs sampled)
34+
Mutative - No Freeze x 6,246 ops/sec ±1.29% (92 runs sampled)
35+
Immer - No Freeze x 5.26 ops/sec ±0.56% (18 runs sampled)
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Mutative - Freeze x974 ops/sec ±1.77% (92 runs sampled)
38-
Immer - Freeze x376 ops/sec ±0.67% (92 runs sampled)
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Mutative - Freeze x950 ops/sec ±0.95% (96 runs sampled)
38+
Immer - Freeze x377 ops/sec ±0.37% (93 runs sampled)
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Mutative - Patches and No Freeze x969 ops/sec ±0.99% (97 runs sampled)
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Immer - Patches and No Freeze x 5.27 ops/sec ±0.36% (18 runs sampled)
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Mutative - Patches and No Freeze x978 ops/sec ±0.16% (97 runs sampled)
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Immer - Patches and No Freeze x 5.23 ops/sec ±0.25% (18 runs sampled)
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Mutative - Patches and Freeze x514 ops/sec ±0.97% (95 runs sampled)
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Immer - Patches and Freeze x275 ops/sec ±0.74% (89 runs sampled)
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Mutative - Patches and Freeze x504 ops/sec ±1.01% (94 runs sampled)
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Immer - Patches and Freeze x272 ops/sec ±0.83% (89 runs sampled)
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The fastest method is Mutative - No Freeze
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```
@@ -52,7 +52,7 @@ Run `yarn benchmark` to measure performance.
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Immer relies on auto-freeze to be enabled, if auto-freeze is disabled, Immer will have a huge performance drop and Mutative will have a huge performance lead, especially with large data structures it will have a performance lead of more than 50x.
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So if you are using Immer, you will have to enable auto-freeze for performance. Mutative is disabled auto-freeze by default. With the default configuration of both, we can see the 16x performance gap between Mutative (`6,199 ops/sec`) and Immer (`376 ops/sec`).
55+
So if you are using Immer, you will have to enable auto-freeze for performance. Mutative is disabled auto-freeze by default. With the default configuration of both, we can see the 16x performance gap between Mutative (`6,246 ops/sec`) and Immer (`377 ops/sec`).
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Overall, Mutative has a huge performance lead over Immer in[more performance testing scenarios](https://github.com/unadlib/mutative/tree/main/test/performance). Run`yarn performance` to get all the performance results locally.
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‎website/docs/getting-started/performance.md‎

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@@ -69,23 +69,23 @@ const state = create(baseState, (draft) => {
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>Mutative passed all of Immer's test cases.
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Measure(ops/sec) to update 50K arrays and 1K objects, bigger is better([view source](https://github.com/unadlib/mutative/blob/main/test/performance/benchmark.ts)).[Mutative v1.0.5 vs Immer v10.1.1]
72+
Measure(ops/sec) to update 50K arrays and 1K objects, bigger is better([view source](https://github.com/unadlib/mutative/blob/main/test/performance/benchmark.ts)).[Mutative v1.0.9 vs Immer v10.1.1]
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![Benchmark](img/benchmark.jpg)
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```
77-
Naive handcrafted reducer - No Freeze x 4,442 ops/sec ±0.38% (95 runs sampled)
78-
Mutative - No Freeze x 6,199 ops/sec ±0.79% (89 runs sampled)
79-
Immer - No Freeze x 5.30 ops/sec ±0.38% (18 runs sampled)
77+
Naive handcrafted reducer - No Freeze x 4,447 ops/sec ±0.85% (96 runs sampled)
78+
Mutative - No Freeze x 6,246 ops/sec ±1.29% (92 runs sampled)
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Immer - No Freeze x 5.26 ops/sec ±0.56% (18 runs sampled)
8080
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Mutative - Freeze x974 ops/sec ±1.77% (92 runs sampled)
82-
Immer - Freeze x376 ops/sec ±0.67% (92 runs sampled)
81+
Mutative - Freeze x950 ops/sec ±0.95% (96 runs sampled)
82+
Immer - Freeze x377 ops/sec ±0.37% (93 runs sampled)
8383
84-
Mutative - Patches and No Freeze x969 ops/sec ±0.99% (97 runs sampled)
85-
Immer - Patches and No Freeze x 5.27 ops/sec ±0.36% (18 runs sampled)
84+
Mutative - Patches and No Freeze x978 ops/sec ±0.16% (97 runs sampled)
85+
Immer - Patches and No Freeze x 5.23 ops/sec ±0.25% (18 runs sampled)
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Mutative - Patches and Freeze x514 ops/sec ±0.97% (95 runs sampled)
88-
Immer - Patches and Freeze x275 ops/sec ±0.74% (89 runs sampled)
87+
Mutative - Patches and Freeze x504 ops/sec ±1.01% (94 runs sampled)
88+
Immer - Patches and Freeze x272 ops/sec ±0.83% (89 runs sampled)
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The fastest method is Mutative - No Freeze
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```
@@ -96,7 +96,7 @@ Run `yarn benchmark` to measure performance.
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Immer relies on auto-freeze to be enabled, if auto-freeze is disabled, Immer will have a huge performance drop and Mutative will have a huge performance lead, especially with large data structures it will have a performance lead of more than 50x.
9898

99-
So if you are using Immer, you will have to enable auto-freeze for performance. Mutative is disabled auto-freeze by default. With the default configuration of both, we can see the 16x performance gap between Mutative (`6,199 ops/sec`) and Immer (`376 ops/sec`).
99+
So if you are using Immer, you will have to enable auto-freeze for performance. Mutative is disabled auto-freeze by default. With the default configuration of both, we can see the 16x performance gap between Mutative (`6,246 ops/sec`) and Immer (`377 ops/sec`).
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Overall, Mutative has a huge performance lead over Immer in[more performance testing scenarios](https://github.com/unadlib/mutative/tree/main/test/performance). Run`yarn performance` to get all the performance results locally.
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