lta_models
| Crates.io | lta_models |
| lib.rs | lta_models |
| version | 0.6.0 |
| source | src |
| created_at | 2020-01-04 12:51:18.995896 |
| updated_at | 2024-02-09 21:46:39.688452 |
| description | 🚍Models for lta-rs |
| homepage | |
| repository | |
| max_upload_size | |
| id | 195095 |
| size | 98,763 |
Budi Syahiddin (zeon256)
documentation
README
lta-models
This repository contains the data structures required to interact with LTA's datamall APIs. All data structures implements Serialize and Deserialize.
Cargo.toml setup
# extra features available: fastfloat
lta-models = { version = "0.6.0" }
Supported formats
| Format | Supported? | Tested? |
|---|---|---|
| JSON | ✅ | ✅ |
| Bincode | ✅ | ✅ |
| Flexbuffer | ✅ | ✅ |
| MessagePack | ✅ | ✅ |
Performance & fast-float implementation
Some of the deserialization code may benefit from using the fastfloat feature, but during testing the biggest performance improvement can be seen when you swap out the system allocator to something faster like mimalloc or jemalloc
How to use this?
You can use this to deserialize LTA's datamall APIs. You can take a look at lta-rs for an example.
Is there anything that I need to do to use fastfloat?
Just add the feature to your Cargo.toml. You don't have to do anything else.
License
lta-models is licensed under MIT license (LICENSE-MIT or http://opensource.org/licenses/MIT)