// DO NOT EDIT! This file was auto-generated by crates/build/re_types_builder/src/codegen/cpp/mod.rs
// Based on "crates/store/re_sdk_types/definitions/rerun/blueprint/archetypes/tensor_scalar_mapping.fbs".

#pragma once

#include "../../collection.hpp"
#include "../../component_batch.hpp"
#include "../../component_column.hpp"
#include "../../components/colormap.hpp"
#include "../../components/gamma_correction.hpp"
#include "../../components/magnification_filter.hpp"
#include "../../result.hpp"

#include <cstdint>
#include <optional>
#include <utility>
#include <vector>

namespace rerun::blueprint::archetypes {
    /// **Archetype**: Configures how tensor scalars are mapped to color.
    ///
    /// ⚠ **This type is _unstable_ and may change significantly in a way that the data won't be backwards compatible.**
    ///
    struct TensorScalarMapping {
        /// Filter used when zooming in on the tensor.
        ///
        /// Note that the filter is applied to the scalar values *before* they are mapped to color.
        std::optional<ComponentBatch> mag_filter;

        /// How scalar values map to colors.
        std::optional<ComponentBatch> colormap;

        /// Gamma exponent applied to normalized values before mapping to color.
        ///
        /// Raises the normalized values to the power of this value before mapping to color.
        /// Acts like an inverse brightness. Defaults to 1.0.
        ///
        /// The final value for display is set as:
        /// `colormap( ((value - data_display_range.min) / (data_display_range.max - data_display_range.min)) ** gamma )`
        std::optional<ComponentBatch> gamma;

      public:
        /// The name of the archetype as used in `ComponentDescriptor`s.
        static constexpr const char ArchetypeName[] =
            "rerun.blueprint.archetypes.TensorScalarMapping";

        /// `ComponentDescriptor` for the `mag_filter` field.
        static constexpr auto Descriptor_mag_filter = ComponentDescriptor(
            ArchetypeName, "TensorScalarMapping:mag_filter",
            Loggable<rerun::components::MagnificationFilter>::ComponentType
        );
        /// `ComponentDescriptor` for the `colormap` field.
        static constexpr auto Descriptor_colormap = ComponentDescriptor(
            ArchetypeName, "TensorScalarMapping:colormap",
            Loggable<rerun::components::Colormap>::ComponentType
        );
        /// `ComponentDescriptor` for the `gamma` field.
        static constexpr auto Descriptor_gamma = ComponentDescriptor(
            ArchetypeName, "TensorScalarMapping:gamma",
            Loggable<rerun::components::GammaCorrection>::ComponentType
        );

      public:
        TensorScalarMapping() = default;
        TensorScalarMapping(TensorScalarMapping&& other) = default;
        TensorScalarMapping(const TensorScalarMapping& other) = default;
        TensorScalarMapping& operator=(const TensorScalarMapping& other) = default;
        TensorScalarMapping& operator=(TensorScalarMapping&& other) = default;

        /// Update only some specific fields of a `TensorScalarMapping`.
        static TensorScalarMapping update_fields() {
            return TensorScalarMapping();
        }

        /// Clear all the fields of a `TensorScalarMapping`.
        static TensorScalarMapping clear_fields();

        /// Filter used when zooming in on the tensor.
        ///
        /// Note that the filter is applied to the scalar values *before* they are mapped to color.
        TensorScalarMapping with_mag_filter(
            const rerun::components::MagnificationFilter& _mag_filter
        ) && {
            mag_filter =
                ComponentBatch::from_loggable(_mag_filter, Descriptor_mag_filter).value_or_throw();
            return std::move(*this);
        }

        /// How scalar values map to colors.
        TensorScalarMapping with_colormap(const rerun::components::Colormap& _colormap) && {
            colormap =
                ComponentBatch::from_loggable(_colormap, Descriptor_colormap).value_or_throw();
            return std::move(*this);
        }

        /// Gamma exponent applied to normalized values before mapping to color.
        ///
        /// Raises the normalized values to the power of this value before mapping to color.
        /// Acts like an inverse brightness. Defaults to 1.0.
        ///
        /// The final value for display is set as:
        /// `colormap( ((value - data_display_range.min) / (data_display_range.max - data_display_range.min)) ** gamma )`
        TensorScalarMapping with_gamma(const rerun::components::GammaCorrection& _gamma) && {
            gamma = ComponentBatch::from_loggable(_gamma, Descriptor_gamma).value_or_throw();
            return std::move(*this);
        }

        /// Partitions the component data into multiple sub-batches.
        ///
        /// Specifically, this transforms the existing `ComponentBatch` data into `ComponentColumn`s
        /// instead, via `ComponentBatch::partitioned`.
        ///
        /// This makes it possible to use `RecordingStream::send_columns` to send columnar data directly into Rerun.
        ///
        /// The specified `lengths` must sum to the total length of the component batch.
        Collection<ComponentColumn> columns(const Collection<uint32_t>& lengths_);

        /// Partitions the component data into unit-length sub-batches.
        ///
        /// This is semantically similar to calling `columns` with `std::vector<uint32_t>(n, 1)`,
        /// where `n` is automatically guessed.
        Collection<ComponentColumn> columns();
    };

} // namespace rerun::blueprint::archetypes

namespace rerun {
    /// \private
    template <typename T>
    struct AsComponents;

    /// \private
    template <>
    struct AsComponents<blueprint::archetypes::TensorScalarMapping> {
        /// Serialize all set component batches.
        static Result<Collection<ComponentBatch>> as_batches(
            const blueprint::archetypes::TensorScalarMapping& archetype
        );
    };
} // namespace rerun
