Infer partition size for FixedSizeList-backed components

crates/build/re_types_builder/src/codegen/python/mod.rs

@@ -2649,8 +2649,8 @@ fn quote_columnar_methods(reporter: &Reporter, obj: &Object, objects: &Objects)
             for batch in batches:
                 arrow_array = batch.as_arrow_array()
 
-                # For primitive arrays, we infer partition size from the input shape.
-                if pa.types.is_primitive(arrow_array.type):
+                # For primitive arrays and fixed size list arrays, we infer partition size from the input shape.
+                if pa.types.is_primitive(arrow_array.type) or pa.types.is_fixed_size_list(arrow_array.type):
                     param = kwargs[batch.component_descriptor().archetype_field_name] # type: ignore[index]
                     shape = np.shape(param)  # type: ignore[arg-type]
 

docs/content/howto/logging/send-columns.md

@@ -63,9 +63,31 @@ snippet: archetypes/points3d_column_updates
   <img src="https://static.rerun.io/points3d_row_updates/fba056871b1ec3fc6978ab605d9a63e44ef1f6de/full.png">
 </picture>
 
+
 Each row in the component column can be a batch of data, e.g. a batch of positions.
 This lets you log the evolution of a point cloud over time efficiently.
 
+### Updating a fixed number of arrows over time, in a single operation
+
+Consider this snippet, using the row-oriented `log` API:
+
+snippet: archetypes/arrows3d_row_updates
+
+which can be translated to the column-oriented `send_columns` API as such:
+
+snippet: archetypes/arrows3d_column_updates
+
+<picture data-inline-viewer="snippets/arrows3d_column_updates">
+  <img src="https://static.rerun.io/arrows3d_column_updates/3e14b35aac709e3f1352426bd905c635b1e13879/full.png" alt="">
+  <source media="(max-width: 480px)" srcset="https://static.rerun.io/arrows3d_column_updates/3e14b35aac709e3f1352426bd905c635b1e13879/480w.png">
+  <source media="(max-width: 768px)" srcset="https://static.rerun.io/arrows3d_column_updates/3e14b35aac709e3f1352426bd905c635b1e13879/768w.png">
+  <source media="(max-width: 1024px)" srcset="https://static.rerun.io/arrows3d_column_updates/3e14b35aac709e3f1352426bd905c635b1e13879/1024w.png">
+  <source media="(max-width: 1200px)" srcset="https://static.rerun.io/arrows3d_column_updates/3e14b35aac709e3f1352426bd905c635b1e13879/1200w.png">
+</picture>
+
+Each row in the component column can be a batch of data, e.g. a batch of positions.
+This lets you log the evolution of a set of arrows over time efficiently.
+
 
 ### Updating a transform over time, in a single operation
 

docs/snippets/all/archetypes/arrows3d_column_updates.cpp

@@ -0,0 +1,52 @@
+// Update a set of vectors over time, in a single operation.
+//
+// This is semantically equivalent to the `arrows3d_row_updates` example, albeit much faster.
+
+#include <rerun.hpp>
+#include <rerun/demo_utils.hpp>
+
+#include <algorithm>
+#include <vector>
+
+using namespace std::chrono_literals;
+
+int main() {
+    const auto rec = rerun::RecordingStream("rerun_example_arrows3d_column_updates");
+    rec.spawn().exit_on_failure();
+
+    // Prepare a fixed sequence of arrows over 5 timesteps.
+    // Origins stay constant, vectors change magnitude and direction, and each timestep has a unique color.
+    std::vector<std::array<float, 3>> origins;
+    std::vector<std::array<float, 3>> vectors;
+
+    for (size_t i = 0; i < 5; i++) {
+        float fi = static_cast<float>(i);
+
+        auto xs = rerun::demo::linspace(-1.f, 1.f, 5);
+        auto zs = rerun::demo::linspace(fi / 10.f, fi, 5);
+        for (size_t j = 0; j < 5; j++) {
+            std::array<float, 3> origin = {xs[j], xs[j], 0.0};
+            std::array<float, 3> vector = {xs[j], xs[j], zs[j]};
+
+            origins.emplace_back(origin);
+            vectors.emplace_back(vector);
+        }
+    }
+
+    // At each timestep, all arrows share the same but changing color.
+    std::vector<uint32_t> colors = {0xFF0000FF, 0x00FF00FF, 0x0000FFFF, 0xFFFF00FF, 0x00FFFFFF};
+
+    // Log at seconds 10-14
+    auto times = rerun::Collection{10s, 11s, 12s, 13s, 14s};
+    auto time_column = rerun::TimeColumn::from_durations("time", std::move(times));
+
+    auto arrows =
+        rerun::Arrows3D().with_origins(origins).with_vectors(vectors).columns({5, 5, 5, 5, 5});
+
+    rec.send_columns(
+        "arrows",
+        time_column,
+        arrows,
+        rerun::Arrows3D::update_fields().with_colors(colors).columns()
+    );
+}

docs/snippets/all/archetypes/arrows3d_column_updates.py

@@ -0,0 +1,28 @@
+"""
+Update a set of vectors over time, in a single operation.
+
+This is semantically equivalent to the `arrows3d_row_updates` example, albeit much faster.
+"""
+
+import numpy as np
+import rerun as rr
+
+rr.init("rerun_example_arrows3d_column_updates", spawn=True)
+
+# Prepare a fixed sequence of arrows over 5 timesteps.
+# Origins stay constant, vectors change magnitude and direction, and each timestep has a unique color.
+times = np.arange(10, 15, 1.0)
+
+# At each time step, all arrows maintain their origin.
+origins = [np.linspace((-1, -1, 0), (1, 1, 0), 5)] * 5
+vectors = [np.linspace((1, 1, i / 10), (1, 1, i), 5) for i in range(5)]
+
+
+# At each timestep, all arrows share the same but changing color.
+colors = [0xFF0000FF, 0x00FF00FF, 0x0000FFFF, 0xFFFF00FF, 0x00FFFFFF]
+
+rr.send_columns(
+    "arrows",
+    indexes=[rr.IndexColumn("time", timedelta=times)],
+    columns=[*rr.Arrows3D.columns(origins=origins, vectors=vectors, colors=colors)],
+)

docs/snippets/all/archetypes/arrows3d_column_updates.rs

@@ -0,0 +1,40 @@
+//! Update a set of vectors over time, in a single operation.
+//!
+//! This is semantically equivalent to the `arrows3d_row_updates` example, albeit much faster.
+
+use rerun::demo_util::linspace;
+
+fn main() -> Result<(), Box<dyn std::error::Error>> {
+    let rec =
+        rerun::RecordingStreamBuilder::new("rerun_example_arrows3d_column_updates").spawn()?;
+    let times = rerun::TimeColumn::new_duration_seconds("time", 10..15);
+
+    // Prepare a fixed sequence of arrows over 5 timesteps.
+    // Origins stay constant, vectors change magnitude and direction, and each timestep has a unique color.
+    let (origins, vectors): (Vec<_>, Vec<_>) = (0..5)
+        .map(|i| {
+            let i = i as f32;
+            (
+                linspace(-1., 1., 5).map(move |x| (x, x, 0.)),
+                linspace(-1., 1., 5)
+                    .zip(linspace(i / 10., i, 5))
+                    .map(|(x, z)| (x, x, z)),
+            )
+        })
+        .collect();
+
+    // At each timestep, all arrows share the same but changing color.
+    let colors = [0xFF0000FF, 0x00FF00FF, 0x0000FFFF, 0xFFFF00FF, 0x00FFFFFF];
+
+    let arrows = rerun::Arrows3D::update_fields()
+        .with_origins(origins.into_iter().flatten())
+        .with_vectors(vectors.into_iter().flatten())
+        .columns([5, 5, 5, 5, 5])?;
+    let color = rerun::Arrows3D::update_fields()
+        .with_colors(colors)
+        .columns_of_unit_batches()?;
+
+    rec.send_columns("arrows", [times], arrows.chain(color))?;
+
+    Ok(())
+}

docs/snippets/all/archetypes/arrows3d_row_updates.cpp

@@ -0,0 +1,49 @@
+// Update a set of vectors over time.
+//
+// See also the `arrows3d_column_updates` example, which achieves the same thing in a single operation.
+
+#include <rerun.hpp>
+#include <rerun/demo_utils.hpp>
+
+#include <algorithm>
+#include <vector>
+
+int main() {
+    const auto rec = rerun::RecordingStream("rerun_example_arrows3d_row_updates");
+    rec.spawn().exit_on_failure();
+
+    // Prepare a fixed sequence of arrows over 5 timesteps.
+    // Origins stay constant, vectors change magnitude and direction, and each timestep has a unique color.
+    std::vector<std::array<std::array<float, 3>, 5>> origins;
+    std::vector<std::array<std::array<float, 3>, 5>> vectors;
+
+    for (size_t i = 0; i < 5; i++) {
+        float fi = static_cast<float>(i);
+
+        auto xs = rerun::demo::linspace(-1.f, 1.f, 5);
+        auto zs = rerun::demo::linspace(fi / 10.f, fi, 5);
+
+        std::array<std::array<float, 3>, 5> origin;
+        std::array<std::array<float, 3>, 5> vector;
+        for (size_t j = 0; j < 5; j++) {
+            origin[j] = {xs[j], xs[j], 0.0};
+            vector[j] = {xs[j], xs[j], zs[j]};
+        }
+
+        origins.emplace_back(origin);
+        vectors.emplace_back(vector);
+    }
+
+    // At each timestep, all arrows share the same but changing color.
+    std::vector<uint32_t> colors = {0xFF0000FF, 0x00FF00FF, 0x0000FFFF, 0xFFFF00FF, 0x00FFFFFF};
+
+    for (size_t i = 0; i < 5; i++) {
+        rec.set_index_duration_secs("time", 10.0 + static_cast<double>(i));
+        rec.log(
+            "arrows",
+            rerun::Arrows3D::from_vectors(vectors[i])
+                .with_origins(origins[i])
+                .with_colors(colors[i])
+        );
+    }
+}

docs/snippets/all/archetypes/arrows3d_row_updates.py

@@ -0,0 +1,26 @@
+"""
+Update a set of vectors over time.
+
+See also the `arrows3d_column_updates` example, which achieves the same thing in a single operation.
+"""
+
+import numpy as np
+import rerun as rr
+
+rr.init("rerun_example_arrows3d_row_updates", spawn=True)
+
+# Prepare a fixed sequence of arrows over 5 timesteps.
+# Origins stay constant, vectors change magnitude and direction, and each timestep has a unique color.
+times = np.arange(10, 15, 1.0)
+
+# At each time step, all arrows maintain their origin.
+origins = np.linspace((-1, -1, 0), (1, 1, 0), 5)
+vectors = [np.linspace((1, 1, i / 10), (1, 1, i), 5) for i in range(5)]
+
+
+# At each timestep, all arrows share the same but changing color.
+colors = [0xFF0000FF, 0x00FF00FF, 0x0000FFFF, 0xFFFF00FF, 0x00FFFFFF]
+
+for i in range(5):
+    rr.set_index("time", timedelta=10 + i)
+    rr.log("arrows", rr.Arrows3D(vectors=vectors[i], origins=origins, colors=colors[i]))

docs/snippets/all/archetypes/arrows3d_row_updates.rs

@@ -0,0 +1,38 @@
+//! Update a set of vectors over time.
+//!
+//! See also the `arrows3d_column_updates` example, which achieves the same thing in a single operation.
+
+use rerun::demo_util::linspace;
+
+fn main() -> Result<(), Box<dyn std::error::Error>> {
+    let rec = rerun::RecordingStreamBuilder::new("rerun_example_arrows3d_row_updates").spawn()?;
+
+    // Prepare a fixed sequence of arrows over 5 timesteps.
+    // Origins stay constant, vectors change magnitude and direction, and each timestep has a unique color.
+    let (origins, vectors): (Vec<_>, Vec<_>) = (0..5)
+        .map(|i| {
+            let i = i as f32;
+            (
+                linspace(-1., 1., 5).map(move |x| (x, x, 0.)),
+                linspace(-1., 1., 5)
+                    .zip(linspace(i / 10., i, 5))
+                    .map(|(x, z)| (x, x, z)),
+            )
+        })
+        .collect();
+
+    // At each timestep, all arrows share the same but changing color.
+    let colors = [0xFF0000FF, 0x00FF00FF, 0x0000FFFF, 0xFFFF00FF, 0x00FFFFFF];
+
+    for (time, origins, vectors, color) in itertools::izip!(10..15, origins, vectors, colors) {
+        rec.set_duration_seconds("time", time);
+
+        let arrows = rerun::Arrows3D::from_vectors(vectors)
+            .with_origins(origins)
+            .with_colors([color]);
+
+        rec.log("arrows", &arrows)?;
+    }
+
+    Ok(())
+}

docs/snippets/snippets.toml

@@ -20,6 +20,7 @@ features = [
   [
     "Update rows",
     [
+      "archetypes/arrows3d_row_updates",
       "archetypes/scalar_row_updates",
       "archetypes/points3d_row_updates",
       "archetypes/transform3d_row_updates",
@@ -28,6 +29,7 @@ features = [
   [
     "Update columns",
     [
+      "archetypes/arrows3d_row_columns",
       "archetypes/scalar_column_updates",
       "archetypes/points3d_column_updates",
       "archetypes/transform3d_column_updates",

lychee.toml

@@ -157,22 +157,10 @@ exclude = [
   # '^file:///',                                  # Ignore local file links. They need to be tested, but it's useful for external links we have to ping.
 
   # Snippets that haven't been released yet.
-  'https://github.com/rerun-io/rerun/blob/main/docs/snippets/all/archetypes/points3d_column_updates.rs',
-  'https://github.com/rerun-io/rerun/blob/main/docs/snippets/all/archetypes/points3d_partial_updates.cpp',
-  'https://github.com/rerun-io/rerun/blob/main/docs/snippets/all/archetypes/points3d_partial_updates.py',
-  'https://github.com/rerun-io/rerun/blob/main/docs/snippets/all/archetypes/points3d_partial_updates.rs',
-  'https://github.com/rerun-io/rerun/blob/main/docs/snippets/all/archetypes/points3d_partial_updates_legacy.cpp',
-  'https://github.com/rerun-io/rerun/blob/main/docs/snippets/all/archetypes/points3d_partial_updates_legacy.py',
-  'https://github.com/rerun-io/rerun/blob/main/docs/snippets/all/archetypes/points3d_partial_updates_legacy.rs',
-  'https://github.com/rerun-io/rerun/blob/main/docs/snippets/all/archetypes/transform3d_partial_updates.cpp',
-  'https://github.com/rerun-io/rerun/blob/main/docs/snippets/all/archetypes/transform3d_partial_updates.py',
-  'https://github.com/rerun-io/rerun/blob/main/docs/snippets/all/archetypes/transform3d_partial_updates.rs',
-  'https://github.com/rerun-io/rerun/blob/main/docs/snippets/all/howto/any_batch_value_column_updates.cpp',
-  'https://github.com/rerun-io/rerun/blob/main/docs/snippets/all/howto/any_batch_value_column_updates.rs',
-  'https://github.com/rerun-io/rerun/blob/main/docs/snippets/all/howto/any_values_column_updates.cpp',
-  'https://github.com/rerun-io/rerun/blob/main/docs/snippets/all/howto/any_values_column_updates.rs',
-  'https://github.com/rerun-io/rerun/blob/main/docs/snippets/all/tutorials/any_values.cpp',
-  'https://github.com/rerun-io/rerun/blob/main/docs/snippets/all/tutorials/any_values.rs',
-  'https://github.com/rerun-io/rerun/blob/main/docs/snippets/all/tutorials/extra_values.cpp',
-  'https://github.com/rerun-io/rerun/blob/main/docs/snippets/all/tutorials/extra_values.rs',
+  "https://github.com/rerun-io/rerun/blob/main/docs/snippets/all/archetypes/arrows3d_row_updates.rs",
+  "https://github.com/rerun-io/rerun/blob/main/docs/snippets/all/archetypes/arrows3d_column_updates.rs",
+  "https://github.com/rerun-io/rerun/blob/main/docs/snippets/all/archetypes/arrows3d_column_updates.cpp",
+  "https://github.com/rerun-io/rerun/blob/main/docs/snippets/all/archetypes/arrows3d_row_updates.cpp",
+  "https://github.com/rerun-io/rerun/blob/main/docs/snippets/all/archetypes/arrows3d_row_updates.py",
+  "https://github.com/rerun-io/rerun/blob/main/docs/snippets/all/archetypes/arrows3d_column_updates.py",
 ]