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We have a bunch of matchers for asserting that a value is near the target value, e.g. `DoubleNear()` and `FloatNear()`. These matchers only work for specific types (`double` and `float`). They are not flexible enough to support other types that have the notion of a "distance" (e.g. N-dimensional points and vectors, which are commonly used in ML). In this diff, we generalize the idea to a `DistanceFrom(target, get_distance, m)` matcher that works on arbitrary types that have the "distance" concept (the `get_distance` argument is optional and can be omitted for types that support `-`, and `std::abs()`). What it does: 1. compute the distance between the value and the target using `get_distance(value, target)`; if `get_distance` is omitted, compute the distance as `std::abs(value - target)`. 2. match the distance against matcher `m`; if the match succeeds, the `DistanceFrom()` match succeeds. Examples: ``` // 0.5's distance from 0.6 should be <= 0.2. EXPECT_THAT(0.5, DistanceFrom(0.6, Le(0.2))); Vector2D v1(3.0, 4.0), v2(3.2, 6.0); // v1's distance from v2, as computed by EuclideanDistance(v1, v2), // should be >= 1.0. EXPECT_THAT(v1, DistanceFrom(v2, EuclideanDistance, Ge(1.0))); ``` PiperOrigin-RevId: 734593292 Change-Id: Id6bb7074dc4aa4d8abd78b57ad2426637e590de5