Snapshots tests (also sometimes called approval tests) are tests that assertvalues against a reference value (the snapshot). Think of it as a superchargedversion of assert_eq!. It lets you compare a value against a referencevalue but unlike simple assertions the reference value is managed by instafor you.

The recommended flow is to run the tests once, have them fail and checkif the result is okay. By default the new snapshots are stored nextto the old ones with the extra .new extension. Once you are satisfiedmove the new files over. To simplify this workflow you can usecargo insta review (requirescargo-insta) which will let youinteractively review them:


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Additionally snapshots can also be stored inline. In that case the formatfor the snapshot macros is assert_snapshot!(reference_value, @"snapshot").The leading at sign (@) indicates that the following string is thereference value. cargo-insta will then update that string with the newvalue on review.

insta tries to be light in dependencies but this is tricky to accomplishgiven what it tries to do. By default it currently depends on serde forthe assert_toml_snapshot! and assert_yaml_snapshot! macros. Inthe future this default dependencies will be removed. To already benefitfrom this optimization you can disable the default features and manuallyopt into what you want.

Insta benefits from being compiled in release mode, even as dev dependency. Itwill compile slightly slower once, but use less memory, have faster diffs andjust generally be more fun to use. To achieve that, opt insta and similar(the diffing library) into higher optimization in your Cargo.toml:

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We bought 50 gallons of insta snow to give our niece and nephews a white christmas! We made it all on Christmas Eve late at night and covered our front lawn! It was soo cool and looked and felt like real snow! We were soo excited, but we didnt think about the moisture in the air sadly and when we woke up in the morning it was way too wet and turnes super goopy.. We were really bummed, next time we will just wake up early and do it that morning! But the kids still loved it and since they had never seen snow they didnt know the dofference! Overall it is a great product and we are lookibg forward to trying it again!

For immersive telepresence in AR or VR, we aim for digital humans (avatars) that mimic the motions and facial expressions of the actual subjects participating in a meeting. Besides the motion, these avatars should reflect the human's shape and appearance. Instead of prerecorded, old avatars, we aim to instantaneously reconstruct the subject's look to capture the actual appearance during a meeting.

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