bump moc #117

chenyan-dfinity · 2024-09-30T17:47:26Z

moc 0.13 timeout (fixable by increase backoff time)
dfx 22, moc 0.12.1 works (sometimes?)
dfx 23,24, moc 0.12.1 stale certificate (seem to work under ubuntu)

github-actions · 2024-10-01T01:31:38Z

Map

	binary_size	generate 1m	max mem	batch_get 50	batch_put 50	batch_remove 50	upgrade
hashmap	194_189 ($\textcolor{red}{2.24\%}$)	8_202_056_175 ($\textcolor{red}{0.21\%}$)	56_000_256	343_224 ($\textcolor{red}{0.13\%}$)	6_479_018_520 ($\textcolor{red}{0.26\%}$)	368_878 ($\textcolor{red}{0.12\%}$)	10_779_626_429 ($\textcolor{red}{0.48\%}$)
triemap	199_728 ($\textcolor{red}{2.18\%}$)	13_670_187_591 ($\textcolor{red}{0.06\%}$)	68_228_576	252_711 ($\textcolor{red}{0.02\%}$)	657_894 ($\textcolor{red}{0.02\%}$)	648_191 ($\textcolor{red}{0.02\%}$)	15_542_338_034 ($\textcolor{red}{0.28\%}$)
rbtree	190_161 ($\textcolor{red}{2.29\%}$)	7_013_924_711 ($\textcolor{red}{0.07\%}$)	52_000_464	116_424 ($\textcolor{red}{0.07\%}$)	318_397 ($\textcolor{red}{0.02\%}$)	330_303 ($\textcolor{red}{0.02\%}$)	6_995_883_219 ($\textcolor{red}{1.82\%}$)
splay	194_714 ($\textcolor{red}{2.24\%}$)	13_162_352_813 ($\textcolor{red}{0.04\%}$)	48_000_400	631_407 ($\textcolor{red}{0.01\%}$)	663_076 ($\textcolor{red}{0.01\%}$)	928_183 ($\textcolor{red}{0.00\%}$)	4_345_903_658 ($\textcolor{red}{0.86\%}$)
btree	234_445 ($\textcolor{red}{1.79\%}$)	10_227_244_425 ($\textcolor{red}{0.03\%}$)	25_108_416	357_988 ($\textcolor{red}{0.02\%}$)	485_870 ($\textcolor{red}{0.02\%}$)	539_566 ($\textcolor{red}{0.01\%}$)	2_920_276_997 ($\textcolor{red}{2.04\%}$)
zhenya_hashmap	193_036 ($\textcolor{red}{2.19\%}$)	2_361_649_020 ($\textcolor{red}{0.04\%}$)	16_777_504	58_306 ($\textcolor{red}{0.18\%}$)	66_651 ($\textcolor{red}{0.15\%}$)	79_783 ($\textcolor{red}{0.14\%}$)	3_096_626_671 ($\textcolor{red}{2.60\%}$)
btreemap_rs	557_023 ($\textcolor{red}{0.20\%}$)	1_796_610_879 ($\textcolor{red}{0.22\%}$)	27_590_656	73_290 ($\textcolor{green}{-0.01\%}$)	123_186 ($\textcolor{green}{-0.00\%}$)	85_038 ($\textcolor{green}{-0.01\%}$)	3_204_150_781 ($\textcolor{green}{-0.00\%}$)
imrc_hashmap_rs	559_039 ($\textcolor{red}{0.52\%}$)	2_584_010_729	244_908_032	35_538 ($\textcolor{green}{-0.02\%}$)	194_920 ($\textcolor{green}{-0.00\%}$)	93_147 ($\textcolor{green}{-0.01\%}$)	6_272_274_629 ($\textcolor{green}{-0.00\%}$)
hashmap_rs	547_945 ($\textcolor{red}{0.62\%}$)	439_245_801	73_138_176	20_001 ($\textcolor{green}{-0.03\%}$)	24_923 ($\textcolor{green}{-0.03\%}$)	23_236 ($\textcolor{green}{-0.03\%}$)	1_565_610_858 ($\textcolor{green}{-0.00\%}$)

Priority queue

	binary_size	heapify 1m	max mem	pop_min 50	put 50	pop_min 50.1	upgrade
heap	171_085 ($\textcolor{red}{2.51\%}$)	5_557_564_416 ($\textcolor{red}{0.05\%}$)	24_000_360	621_765 ($\textcolor{red}{0.01\%}$)	227_300 ($\textcolor{red}{0.03\%}$)	592_705 ($\textcolor{red}{0.02\%}$)	3_245_817_069 ($\textcolor{red}{1.76\%}$)
heap_rs	541_957 ($\textcolor{red}{0.24\%}$)	139_667_629	18_284_544	55_873 ($\textcolor{green}{-0.01\%}$)	21_264 ($\textcolor{green}{-0.03\%}$)	55_758 ($\textcolor{green}{-0.01\%}$)	648_921_182 ($\textcolor{green}{-0.00\%}$)

Growable array

	binary_size	generate 5k	max mem	batch_get 500	batch_put 500	batch_remove 500	upgrade
buffer	178_179 ($\textcolor{red}{2.46\%}$)	2_601_297 ($\textcolor{red}{0.01\%}$)	65_652 ($\textcolor{red}{0.01\%}$)	95_582 ($\textcolor{red}{0.08\%}$)	803_552 ($\textcolor{red}{0.01\%}$)	173_582 ($\textcolor{red}{0.04\%}$)	3_156_157 ($\textcolor{red}{2.10\%}$)
vector	176_002 ($\textcolor{red}{2.37\%}$)	1_952_757 ($\textcolor{red}{0.00\%}$)	24_588 ($\textcolor{red}{0.03\%}$)	126_206 ($\textcolor{red}{0.06\%}$)	186_561 ($\textcolor{red}{0.04\%}$)	176_199 ($\textcolor{red}{0.04\%}$)	4_808_803 ($\textcolor{red}{2.86\%}$)
vec_rs	539_845 ($\textcolor{red}{0.25\%}$)	286_776	1_376_256	15_707 ($\textcolor{green}{-0.04\%}$)	28_786 ($\textcolor{green}{-0.02\%}$)	21_546 ($\textcolor{green}{-0.03\%}$)	3_806_204 ($\textcolor{red}{0.01\%}$)

Stable structures

	binary_size	generate 50k	max mem	batch_get 50	batch_put 50	batch_remove 50	upgrade
btreemap_rs	557_023 ($\textcolor{red}{0.20\%}$)	76_361_524 ($\textcolor{red}{0.26\%}$)	2_555_904	62_848 ($\textcolor{green}{-0.01\%}$)	95_113 ($\textcolor{green}{-0.01\%}$)	84_043 ($\textcolor{green}{-0.01\%}$)	139_591_425 ($\textcolor{green}{-0.00\%}$)
btreemap_stable_rs	559_365 ($\textcolor{red}{0.23\%}$)	4_564_070_850	2_031_616	2_709_640 ($\textcolor{green}{-0.00\%}$)	5_031_620 ($\textcolor{green}{-0.00\%}$)	8_581_107 ($\textcolor{green}{-0.00\%}$)	729_344
heap_rs	541_957 ($\textcolor{red}{0.24\%}$)	7_049_481	2_293_760	48_382 ($\textcolor{green}{-0.01\%}$)	21_512 ($\textcolor{green}{-0.03\%}$)	48_107 ($\textcolor{green}{-0.01\%}$)	33_629_605 ($\textcolor{green}{-0.00\%}$)
heap_stable_rs	522_462 ($\textcolor{red}{0.25\%}$)	277_865_060	458_752	2_405_446 ($\textcolor{green}{-0.00\%}$)	242_822 ($\textcolor{green}{-0.00\%}$)	2_387_309 ($\textcolor{green}{-0.00\%}$)	729_349
vec_rs	539_845 ($\textcolor{red}{0.25\%}$)	3_077_152	2_293_760	15_707 ($\textcolor{green}{-0.04\%}$)	16_636 ($\textcolor{green}{-0.04\%}$)	15_934 ($\textcolor{green}{-0.04\%}$)	31_301_799 ($\textcolor{red}{0.00\%}$)
vec_stable_rs	522_579 ($\textcolor{red}{0.24\%}$)	63_342_328 ($\textcolor{green}{-0.00\%}$)	458_752	64_869 ($\textcolor{green}{-0.01\%}$)	78_799 ($\textcolor{green}{-0.01\%}$)	84_161 ($\textcolor{green}{-0.01\%}$)	729_343 ($\textcolor{green}{-0.00\%}$)

Statistics

binary_size: 1.17% [0.78%, 1.57%]
max_mem: 0.02% [-0.04%, 0.09%]
cycles: 0.19% [0.09%, 0.29%]

SHA-2

	binary_size	SHA-256	SHA-512	account_id	neuron_id
Motoko	199_291 ($\textcolor{red}{2.89\%}$)	282_867_522 ($\textcolor{red}{5.65\%}$)	262_958_038 ($\textcolor{red}{6.10\%}$)	34_374 ($\textcolor{red}{2.19\%}$)	25_343 ($\textcolor{red}{3.31\%}$)
Rust	541_269 ($\textcolor{green}{-0.11\%}$)	82_781_773 ($\textcolor{green}{-0.00\%}$)	56_787_252 ($\textcolor{green}{-0.00\%}$)	41_000 ($\textcolor{green}{-0.11\%}$)	39_898 ($\textcolor{green}{-0.13\%}$)

Certified map

	binary_size	generate 10k	max mem	inc	witness	upgrade
Motoko	248_064 ($\textcolor{red}{1.82\%}$)	365_594_405 ($\textcolor{green}{-92.16\%}$)	342_396 ($\textcolor{green}{-90.02\%}$)	397_632 ($\textcolor{green}{-28.18\%}$)	267_766 ($\textcolor{green}{-34.36\%}$)	22_437_392 ($\textcolor{green}{-91.82\%}$)
Rust	581_748 ($\textcolor{red}{0.22\%}$)	490_093_124 ($\textcolor{green}{-92.35\%}$)	1_310_720 ($\textcolor{green}{-41.18\%}$)	661_017 ($\textcolor{green}{-35.22\%}$)	219_694 ($\textcolor{green}{-26.33\%}$)	451_141_325 ($\textcolor{green}{-92.51\%}$)

Statistics

binary_size: 1.20% [-0.45%, 2.86%]
max_mem: -65.60% [-219.78%, 88.59%]
cycles: -29.75% [-47.22%, -12.27%]

Basic DAO

	binary_size	init	transfer_token	submit_proposal	vote_proposal	upgrade
Motoko	278_758 ($\textcolor{red}{1.76\%}$)	513_173 ($\textcolor{red}{0.46\%}$)	23_357 ($\textcolor{red}{4.66\%}$)	19_191 ($\textcolor{red}{3.19\%}$)	20_401 ($\textcolor{red}{3.75\%}$)	161_785 ($\textcolor{red}{2.42\%}$)
Rust	856_658 ($\textcolor{red}{1.08\%}$)	505_502 ($\textcolor{green}{-0.19\%}$)	88_807 ($\textcolor{green}{-0.15\%}$)	116_797 ($\textcolor{green}{-0.48\%}$)	111_945 ($\textcolor{green}{-0.36\%}$)	1_478_640 ($\textcolor{green}{-0.32\%}$)

DIP721 NFT

	binary_size	init	mint_token	transfer_token	upgrade
Motoko	224_935 ($\textcolor{red}{2.06\%}$)	482_026 ($\textcolor{red}{0.18\%}$)	31_119 ($\textcolor{red}{3.03\%}$)	8_891 ($\textcolor{red}{1.45\%}$)	91_908 ($\textcolor{red}{2.31\%}$)
Rust	881_139 ($\textcolor{red}{0.14\%}$)	203_263 ($\textcolor{green}{-0.12\%}$)	301_918 ($\textcolor{green}{-0.38\%}$)	70_807 ($\textcolor{green}{-0.60\%}$)	1_624_865 ($\textcolor{green}{-0.31\%}$)

Statistics

binary_size: 1.26% [0.26%, 2.26%]
max_mem: no change
cycles: 1.03% [0.32%, 1.74%]

Heartbeat

	binary_size	heartbeat
Motoko	142_267 ($\textcolor{red}{3.71\%}$)	27_506 ($\textcolor{red}{41.01\%}$)
Rust	23_866 ($\textcolor{red}{0.88\%}$)	1_112 ($\textcolor{red}{131.67\%}$)

Timer

	binary_size	setTimer	cancelTimer
Motoko	150_098 ($\textcolor{red}{3.08\%}$)	56_189 ($\textcolor{red}{8.52\%}$)	4_702 ($\textcolor{red}{1.64\%}$)
Rust	504_144 ($\textcolor{red}{0.28\%}$)	63_372 ($\textcolor{green}{-0.01\%}$)	11_676

Statistics

binary_size: 1.68% [-7.16%, 10.51%]
max_mem: no change
cycles: 3.38% [-4.24%, 11.01%]

Garbage Collection

	generate 700k	max mem	batch_get 50	batch_put 50	batch_remove 50
default	1_074_136_336 ($\textcolor{red}{0.56\%}$)	47_793_792	119	119	119
copying	1_074_136_218 ($\textcolor{red}{0.56\%}$)	47_793_792	1_073_873_789 ($\textcolor{red}{0.56\%}$)	1_073_954_095 ($\textcolor{red}{0.56\%}$)	1_073_875_311 ($\textcolor{red}{0.56\%}$)
compacting	1_554_238_605 ($\textcolor{red}{0.56\%}$)	47_793_792	1_200_791_965 ($\textcolor{red}{0.73\%}$)	1_424_078_246 ($\textcolor{red}{0.61\%}$)	1_447_969_756 ($\textcolor{red}{0.60\%}$)
generational	2_326_734_591 ($\textcolor{red}{0.98\%}$)	47_802_256	899_105_682 ($\textcolor{red}{1.92\%}$)	1_214_812 ($\textcolor{red}{0.30\%}$)	1_107_099 ($\textcolor{red}{0.32\%}$)
incremental	29_505_471 ($\textcolor{red}{0.01\%}$)	976_097_724 ($\textcolor{red}{0.00\%}$)	469_026_873 ($\textcolor{green}{-0.61\%}$)	496_491_319 ($\textcolor{green}{-0.20\%}$)	1_282_778_770 ($\textcolor{red}{5.03\%}$)

Actor class

	binary size	put new bucket	put existing bucket	get
Map	421_098 ($\textcolor{red}{40.73\%}$)	757_731 ($\textcolor{green}{-6.86\%}$)	16_360 ($\textcolor{red}{1.52\%}$)	16_930 ($\textcolor{red}{1.62\%}$)

Statistics

binary_size: no change
max_mem: 0.00%
cycles: 2.38% [-1.01%, 5.78%]

Publisher & Subscriber

	pub_binary_size	sub_binary_size	subscribe_caller	subscribe_callee	publish_caller	publish_callee
Motoko	165_839 ($\textcolor{red}{2.82\%}$)	150_138 ($\textcolor{red}{3.02\%}$)	32_873 ($\textcolor{red}{14.97\%}$)	12_214 ($\textcolor{red}{2.10\%}$)	27_075 ($\textcolor{red}{18.47\%}$)	6_629 ($\textcolor{red}{2.84\%}$)
Rust	539_139 ($\textcolor{red}{0.60\%}$)	576_928 ($\textcolor{red}{0.54\%}$)	57_754 ($\textcolor{red}{0.46\%}$)	37_782 ($\textcolor{green}{-0.04\%}$)	71_207 ($\textcolor{green}{-0.20\%}$)	42_396 ($\textcolor{green}{-0.12\%}$)

Statistics

binary_size: 1.74% [0.14%, 3.34%]
max_mem: no change
cycles: 4.81% [-0.21%, 9.83%]

Overall Statistics

binary_size: 1.28% [0.97%, 1.60%]
max_mem: -26.23% [-64.24%, 11.78%]
cycles: -2.19% [-4.31%, -0.07%]

github-actions · 2024-10-01T01:31:40Z

Collection libraries

Measure different collection libraries written in both Motoko and Rust.
The library names with _rs suffix are written in Rust; the rest are written in Motoko.
The _stable and _stable_rs suffix represents that the library directly writes the state to stable memory using Region in Motoko and ic-stable-stuctures in Rust.

We use the same random number generator with fixed seed to ensure that all collections contain
the same elements, and the queries are exactly the same. Below we explain the measurements of each column in the table:

generate 1m. Insert 1m Nat64 integers into the collection. For Motoko collections, it usually triggers the GC; the rest of the column are not likely to trigger GC.
max mem. For Motoko, it reports rts_max_heap_size after generate call; For Rust, it reports the Wasm's memory page * 32Kb.
batch_get 50. Find 50 elements from the collection.
batch_put 50. Insert 50 elements to the collection.
batch_remove 50. Remove 50 elements from the collection.
upgrade. Upgrade the canister with the same Wasm module. For non-stable benchmarks, the map state is persisted by serializing and deserializing states into stable memory. For stable benchmarks, the upgrade takes no cycles, as the state is already in the stable memory.

💎 Takeaways

The platform only charges for instruction count. Data structures which make use of caching and locality have no impact on the cost.
We have a limit on the maximal cycles per round. This means asymptotic behavior doesn't matter much. We care more about the performance up to a fixed N. In the extreme cases, you may see an $O(10000 n\log n)$ algorithm hitting the limit, while an $O(n^2)$ algorithm runs just fine.
Amortized algorithms/GC may need to be more eager to avoid hitting the cycle limit on a particular round.
Rust costs more cycles to process complicated Candid data, but it is more efficient in performing core computations.

Map

	binary_size	generate 1m	max mem	batch_get 50	batch_put 50	batch_remove 50	upgrade
hashmap	194_189	8_202_056_175	56_000_256	343_224	6_479_018_520	368_878	10_779_626_429
triemap	199_728	13_670_187_591	68_228_576	252_711	657_894	648_191	15_542_338_034
rbtree	190_161	7_013_924_711	52_000_464	116_424	318_397	330_303	6_995_883_219
splay	194_714	13_162_352_813	48_000_400	631_407	663_076	928_183	4_345_903_658
btree	234_445	10_227_244_425	25_108_416	357_988	485_870	539_566	2_920_276_997
zhenya_hashmap	193_036	2_361_649_020	16_777_504	58_306	66_651	79_783	3_096_626_671
btreemap_rs	557_023	1_796_610_879	27_590_656	73_290	123_186	85_038	3_204_150_781
imrc_hashmap_rs	559_039	2_584_010_729	244_908_032	35_538	194_920	93_147	6_272_274_629
hashmap_rs	547_945	439_245_801	73_138_176	20_001	24_923	23_236	1_565_610_858

Priority queue

	binary_size	heapify 1m	max mem	pop_min 50	put 50	pop_min 50	upgrade
heap	171_085	5_557_564_416	24_000_360	621_765	227_300	592_705	3_245_817_069
heap_rs	541_957	139_667_629	18_284_544	55_873	21_264	55_758	648_921_182

Growable array

	binary_size	generate 5k	max mem	batch_get 500	batch_put 500	batch_remove 500	upgrade
buffer	178_179	2_601_297	65_652	95_582	803_552	173_582	3_156_157
vector	176_002	1_952_757	24_588	126_206	186_561	176_199	4_808_803
vec_rs	539_845	286_776	1_376_256	15_707	28_786	21_546	3_806_204

Stable structures

	binary_size	generate 50k	max mem	batch_get 50	batch_put 50	batch_remove 50	upgrade
btreemap_rs	557_023	76_361_524	2_555_904	62_848	95_113	84_043	139_591_425
btreemap_stable_rs	559_365	4_564_070_850	2_031_616	2_709_640	5_031_620	8_581_107	729_344
heap_rs	541_957	7_049_481	2_293_760	48_382	21_512	48_107	33_629_605
heap_stable_rs	522_462	277_865_060	458_752	2_405_446	242_822	2_387_309	729_349
vec_rs	539_845	3_077_152	2_293_760	15_707	16_636	15_934	31_301_799
vec_stable_rs	522_579	63_342_328	458_752	64_869	78_799	84_161	729_343

Cryptographic libraries

Measure different cryptographic libraries written in both Motoko and Rust.

SHA-2 benchmarks
- SHA-256/SHA-512. Compute the hash of a 1M Wasm binary.
- account_id. Compute the ledger account id from principal, based on SHA-224.
- neuron_id. Compute the NNS neuron id from principal, based on SHA-256.
Certified map. Merkle Tree for storing key-value pairs and generate witness according to the IC Interface Specification.
- generate 10k. Insert 10k 7-character word as both key and value into the certified map.
- max mem. For Motoko, it reports rts_max_heap_size after generate call; For Rust, it reports the Wasm's memory page * 32Kb.
- inc. Increment a counter and insert the counter value into the map.
- witness. Generate the root hash and a witness for the counter.
- upgrade. Upgrade the canister with the same Wasm. In Motoko, we use stable variable. In Rust, we convert the tree to a vector before serialization.

SHA-2

	binary_size	SHA-256	SHA-512	account_id	neuron_id
Motoko	199_291	282_867_522	262_958_038	34_374	25_343
Rust	541_269	82_781_773	56_787_252	41_000	39_898

Certified map

	binary_size	generate 10k	max mem	inc	witness	upgrade
Motoko	248_064	365_594_405	342_396	397_632	267_766	22_437_392
Rust	581_748	490_093_124	1_310_720	661_017	219_694	451_141_325

Sample Dapps

Measure the performance of some typical dapps:

Basic DAO,
with heartbeat disabled to make profiling easier. We have a separate benchmark to measure heartbeat performance.
DIP721 NFT

Basic DAO

	binary_size	init	transfer_token	submit_proposal	vote_proposal	upgrade
Motoko	278_758	513_173	23_357	19_191	20_401	161_785
Rust	856_658	505_502	88_807	116_797	111_945	1_478_640

DIP721 NFT

	binary_size	init	mint_token	transfer_token	upgrade
Motoko	224_935	482_026	31_119	8_891	91_908
Rust	881_139	203_263	301_918	70_807	1_624_865

Heartbeat / Timer

Measure the cost of empty heartbeat and timer job.

setTimer measures both the setTimer(0) method and the execution of empty job.
It is not easy to reliably capture the above events in one flamegraph, as the implementation detail
of the replica can affect how we measure this. Typically, a correct flamegraph contains both setTimer and canister_global_timer function. If it's not there, we may need to adjust the script.

Heartbeat

	binary_size	heartbeat
Motoko	142_267	27_506
Rust	23_866	1_112

Timer

	binary_size	setTimer	cancelTimer
Motoko	150_098	56_189	4_702
Rust	504_144	63_372	11_676

Motoko Specific Benchmarks

Measure various features only available in Motoko.

Garbage Collection. Measure Motoko garbage collection cost using the Triemap benchmark. The max mem column reports rts_max_heap_size after generate call. The cycle cost numbers reported here are garbage collection cost only. Some flamegraphs are truncated due to the 2M log size limit. The dfx/ic-wasm optimizer is disabled for the garbage collection test cases due to how the optimizer affects function names, making profiling trickier.
- default. Compile with the default GC option. With the current GC scheduler, generate will trigger the copying GC. The rest of the methods will not trigger GC.
- copying. Compile with --force-gc --copying-gc.
- compacting. Compile with --force-gc --compacting-gc.
- generational. Compile with --force-gc --generational-gc.
- incremental. Compile with --force-gc --incremental-gc.
Actor class. Measure the cost of spawning actor class, using the Actor classes example.

Garbage Collection

	generate 700k	max mem	batch_get 50	batch_put 50	batch_remove 50
default	1_074_136_336	47_793_792	119	119	119
copying	1_074_136_218	47_793_792	1_073_873_789	1_073_954_095	1_073_875_311
compacting	1_554_238_605	47_793_792	1_200_791_965	1_424_078_246	1_447_969_756
generational	2_326_734_591	47_802_256	899_105_682	1_214_812	1_107_099
incremental	29_505_471	976_097_724	469_026_873	496_491_319	1_282_778_770

Actor class

	binary size	put new bucket	put existing bucket	get
Map	421_098	757_731	16_360	16_930

Publisher & Subscriber

Measure the cost of inter-canister calls from the Publisher & Subscriber example.

	pub_binary_size	sub_binary_size	subscribe_caller	subscribe_callee	publish_caller	publish_callee
Motoko	165_839	150_138	32_873	12_214	27_075	6_629
Rust	539_139	576_928	57_754	37_782	71_207	42_396

chenyan-dfinity added 8 commits September 30, 2024 10:47

bump moc

16674be

dfx 23

44886d0

bump ic-repl

d7849cf

increase timeout

b29dff6

fix

9a40a5d

dfx 22

3b48e09

dfx 21

b988aff

fix

694452c

chenyan-dfinity added 20 commits September 30, 2024 20:23

fix

9990062

reduce crypto size

420bd76

fix

e91385a

try dfx 0.24

8785629

fix

7737c57

fix

aac1879

bypass gateway

e8d0399

fix

35fd0e1

dfx 21

873a73a

dfx 22, 21 gets 404 endpoint not found

095cec0

dfx 21 with ic-repl 0.7

d42f640

dfx 20

14f8585

dfx 19

a901e14

dfx 18

1f9e5ef

add back gateway, dfx 22

ee5499f

dfx 21

39140aa

moc 0.12.1

814b87e

dfx 23

70b1d07

dfx 22

5f39cec

try ubuntu

dfe90c9

chenyan-dfinity added 7 commits October 2, 2024 18:41

fix

9e39872

moc 0.12.1

f9dd09c

reduce crypto size again

2531d10

reduce crypto size again

a66ddd8

moc 0.13

a868e42

reduce crypto size again

e77c115

reduce crypto size again

1e5d142

chenyan-dfinity closed this Oct 4, 2024

chenyan-dfinity deleted the bump-moc branch October 4, 2024 04:34

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bump moc #117

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bump moc #117

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Map

Priority queue

Growable array

Stable structures

Statistics

SHA-2

Certified map

Statistics

Basic DAO

DIP721 NFT

Statistics

Heartbeat

Timer

Statistics

Garbage Collection

Actor class

Statistics

Publisher & Subscriber

Statistics

Overall Statistics

github-actions bot commented Oct 1, 2024 • edited Loading

Collection libraries

💎 Takeaways

Map

Priority queue

Growable array

Stable structures

Environment

Cryptographic libraries

SHA-2

Certified map

Environment

Sample Dapps

Basic DAO

DIP721 NFT

Environment

Heartbeat / Timer

Heartbeat

Timer

Environment

Motoko Specific Benchmarks

Garbage Collection

Actor class

Environment

Publisher & Subscriber

Environment

chenyan-dfinity commented Sep 30, 2024 •

edited

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github-actions bot commented Oct 1, 2024 •

edited

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github-actions bot commented Oct 1, 2024 •

edited

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