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// DO NOT EDIT! This file was auto-generated by crates/build/re_types_builder/src/codegen/rust/api.rs
// Based on "crates/store/re_types/definitions/rerun/datatypes/range2d.fbs".
#![allow(unused_braces)]
#![allow(unused_imports)]
#![allow(unused_parens)]
#![allow(clippy::clone_on_copy)]
#![allow(clippy::cloned_instead_of_copied)]
#![allow(clippy::map_flatten)]
#![allow(clippy::needless_question_mark)]
#![allow(clippy::new_without_default)]
#![allow(clippy::redundant_closure)]
#![allow(clippy::too_many_arguments)]
#![allow(clippy::too_many_lines)]
use ::re_types_core::try_serialize_field;
use ::re_types_core::SerializationResult;
use ::re_types_core::{ComponentBatch as _, SerializedComponentBatch};
use ::re_types_core::{ComponentDescriptor, ComponentType};
use ::re_types_core::{DeserializationError, DeserializationResult};
/// **Datatype**: An Axis-Aligned Bounding Box in 2D space, implemented as the minimum and maximum corners.
#[derive(Clone, Debug, Default, Copy, PartialEq, bytemuck::Pod, bytemuck::Zeroable)]
#[repr(C)]
pub struct Range2D {
/// The range of the X-axis (usually left and right bounds).
pub x_range: crate::datatypes::Range1D,
/// The range of the Y-axis (usually top and bottom bounds).
pub y_range: crate::datatypes::Range1D,
}
::re_types_core::macros::impl_into_cow!(Range2D);
impl ::re_types_core::Loggable for Range2D {
#[inline]
fn arrow_datatype() -> arrow::datatypes::DataType {
#![allow(clippy::wildcard_imports)]
use arrow::datatypes::*;
DataType::Struct(Fields::from(vec![
Field::new(
"x_range",
<crate::datatypes::Range1D>::arrow_datatype(),
false,
),
Field::new(
"y_range",
<crate::datatypes::Range1D>::arrow_datatype(),
false,
),
]))
}
fn to_arrow_opt<'a>(
data: impl IntoIterator<Item = Option<impl Into<::std::borrow::Cow<'a, Self>>>>,
) -> SerializationResult<arrow::array::ArrayRef>
where
Self: Clone + 'a,
{
#![allow(clippy::wildcard_imports)]
#![allow(clippy::manual_is_variant_and)]
use ::re_types_core::{arrow_helpers::as_array_ref, Loggable as _, ResultExt as _};
use arrow::{array::*, buffer::*, datatypes::*};
Ok({
let fields = Fields::from(vec![
Field::new(
"x_range",
<crate::datatypes::Range1D>::arrow_datatype(),
false,
),
Field::new(
"y_range",
<crate::datatypes::Range1D>::arrow_datatype(),
false,
),
]);
let (somes, data): (Vec<_>, Vec<_>) = data
.into_iter()
.map(|datum| {
let datum: Option<::std::borrow::Cow<'a, Self>> = datum.map(Into::into);
(datum.is_some(), datum)
})
.unzip();
let validity: Option<arrow::buffer::NullBuffer> = {
let any_nones = somes.iter().any(|some| !*some);
any_nones.then(|| somes.into())
};
as_array_ref(StructArray::new(
fields,
vec![
{
let (somes, x_range): (Vec<_>, Vec<_>) = data
.iter()
.map(|datum| {
let datum = datum.as_ref().map(|datum| datum.x_range.clone());
(datum.is_some(), datum)
})
.unzip();
let x_range_validity: Option<arrow::buffer::NullBuffer> = {
let any_nones = somes.iter().any(|some| !*some);
any_nones.then(|| somes.into())
};
{
let x_range_inner_data: Vec<_> = x_range
.into_iter()
.map(|datum| datum.map(|datum| datum.0).unwrap_or_default())
.flatten()
.collect();
let x_range_inner_validity: Option<arrow::buffer::NullBuffer> =
x_range_validity.as_ref().map(|validity| {
validity
.iter()
.map(|b| std::iter::repeat(b).take(2usize))
.flatten()
.collect::<Vec<_>>()
.into()
});
as_array_ref(FixedSizeListArray::new(
std::sync::Arc::new(Field::new("item", DataType::Float64, false)),
2,
as_array_ref(PrimitiveArray::<Float64Type>::new(
ScalarBuffer::from(
x_range_inner_data.into_iter().collect::<Vec<_>>(),
),
x_range_inner_validity,
)),
x_range_validity,
))
}
},
{
let (somes, y_range): (Vec<_>, Vec<_>) = data
.iter()
.map(|datum| {
let datum = datum.as_ref().map(|datum| datum.y_range.clone());
(datum.is_some(), datum)
})
.unzip();
let y_range_validity: Option<arrow::buffer::NullBuffer> = {
let any_nones = somes.iter().any(|some| !*some);
any_nones.then(|| somes.into())
};
{
let y_range_inner_data: Vec<_> = y_range
.into_iter()
.map(|datum| datum.map(|datum| datum.0).unwrap_or_default())
.flatten()
.collect();
let y_range_inner_validity: Option<arrow::buffer::NullBuffer> =
y_range_validity.as_ref().map(|validity| {
validity
.iter()
.map(|b| std::iter::repeat(b).take(2usize))
.flatten()
.collect::<Vec<_>>()
.into()
});
as_array_ref(FixedSizeListArray::new(
std::sync::Arc::new(Field::new("item", DataType::Float64, false)),
2,
as_array_ref(PrimitiveArray::<Float64Type>::new(
ScalarBuffer::from(
y_range_inner_data.into_iter().collect::<Vec<_>>(),
),
y_range_inner_validity,
)),
y_range_validity,
))
}
},
],
validity,
))
})
}
fn from_arrow_opt(
arrow_data: &dyn arrow::array::Array,
) -> DeserializationResult<Vec<Option<Self>>>
where
Self: Sized,
{
#![allow(clippy::wildcard_imports)]
use ::re_types_core::{arrow_zip_validity::ZipValidity, Loggable as _, ResultExt as _};
use arrow::{array::*, buffer::*, datatypes::*};
Ok({
let arrow_data = arrow_data
.as_any()
.downcast_ref::<arrow::array::StructArray>()
.ok_or_else(|| {
let expected = Self::arrow_datatype();
let actual = arrow_data.data_type().clone();
DeserializationError::datatype_mismatch(expected, actual)
})
.with_context("rerun.datatypes.Range2D")?;
if arrow_data.is_empty() {
Vec::new()
} else {
let (arrow_data_fields, arrow_data_arrays) =
(arrow_data.fields(), arrow_data.columns());
let arrays_by_name: ::std::collections::HashMap<_, _> = arrow_data_fields
.iter()
.map(|field| field.name().as_str())
.zip(arrow_data_arrays)
.collect();
let x_range = {
if !arrays_by_name.contains_key("x_range") {
return Err(DeserializationError::missing_struct_field(
Self::arrow_datatype(),
"x_range",
))
.with_context("rerun.datatypes.Range2D");
}
let arrow_data = &**arrays_by_name["x_range"];
{
let arrow_data = arrow_data
.as_any()
.downcast_ref::<arrow::array::FixedSizeListArray>()
.ok_or_else(|| {
let expected = DataType::FixedSizeList(
std::sync::Arc::new(Field::new(
"item",
DataType::Float64,
false,
)),
2,
);
let actual = arrow_data.data_type().clone();
DeserializationError::datatype_mismatch(expected, actual)
})
.with_context("rerun.datatypes.Range2D#x_range")?;
if arrow_data.is_empty() {
Vec::new()
} else {
let offsets = (0..)
.step_by(2usize)
.zip((2usize..).step_by(2usize).take(arrow_data.len()));
let arrow_data_inner = {
let arrow_data_inner = &**arrow_data.values();
arrow_data_inner
.as_any()
.downcast_ref::<Float64Array>()
.ok_or_else(|| {
let expected = DataType::Float64;
let actual = arrow_data_inner.data_type().clone();
DeserializationError::datatype_mismatch(expected, actual)
})
.with_context("rerun.datatypes.Range2D#x_range")?
.into_iter()
.collect::<Vec<_>>()
};
ZipValidity::new_with_validity(offsets, arrow_data.nulls())
.map(|elem| {
elem.map(|(start, end): (usize, usize)| {
debug_assert!(end - start == 2usize);
if arrow_data_inner.len() < end {
return Err(DeserializationError::offset_slice_oob(
(start, end),
arrow_data_inner.len(),
));
}
#[allow(unsafe_code, clippy::undocumented_unsafe_blocks)]
let data =
unsafe { arrow_data_inner.get_unchecked(start..end) };
let data =
data.iter().cloned().map(Option::unwrap_or_default);
// NOTE: Unwrapping cannot fail: the length must be correct.
#[allow(clippy::unwrap_used)]
Ok(array_init::from_iter(data).unwrap())
})
.transpose()
})
.map(|res_or_opt| {
res_or_opt
.map(|res_or_opt| res_or_opt.map(crate::datatypes::Range1D))
})
.collect::<DeserializationResult<Vec<Option<_>>>>()?
}
.into_iter()
}
};
let y_range = {
if !arrays_by_name.contains_key("y_range") {
return Err(DeserializationError::missing_struct_field(
Self::arrow_datatype(),
"y_range",
))
.with_context("rerun.datatypes.Range2D");
}
let arrow_data = &**arrays_by_name["y_range"];
{
let arrow_data = arrow_data
.as_any()
.downcast_ref::<arrow::array::FixedSizeListArray>()
.ok_or_else(|| {
let expected = DataType::FixedSizeList(
std::sync::Arc::new(Field::new(
"item",
DataType::Float64,
false,
)),
2,
);
let actual = arrow_data.data_type().clone();
DeserializationError::datatype_mismatch(expected, actual)
})
.with_context("rerun.datatypes.Range2D#y_range")?;
if arrow_data.is_empty() {
Vec::new()
} else {
let offsets = (0..)
.step_by(2usize)
.zip((2usize..).step_by(2usize).take(arrow_data.len()));
let arrow_data_inner = {
let arrow_data_inner = &**arrow_data.values();
arrow_data_inner
.as_any()
.downcast_ref::<Float64Array>()
.ok_or_else(|| {
let expected = DataType::Float64;
let actual = arrow_data_inner.data_type().clone();
DeserializationError::datatype_mismatch(expected, actual)
})
.with_context("rerun.datatypes.Range2D#y_range")?
.into_iter()
.collect::<Vec<_>>()
};
ZipValidity::new_with_validity(offsets, arrow_data.nulls())
.map(|elem| {
elem.map(|(start, end): (usize, usize)| {
debug_assert!(end - start == 2usize);
if arrow_data_inner.len() < end {
return Err(DeserializationError::offset_slice_oob(
(start, end),
arrow_data_inner.len(),
));
}
#[allow(unsafe_code, clippy::undocumented_unsafe_blocks)]
let data =
unsafe { arrow_data_inner.get_unchecked(start..end) };
let data =
data.iter().cloned().map(Option::unwrap_or_default);
// NOTE: Unwrapping cannot fail: the length must be correct.
#[allow(clippy::unwrap_used)]
Ok(array_init::from_iter(data).unwrap())
})
.transpose()
})
.map(|res_or_opt| {
res_or_opt
.map(|res_or_opt| res_or_opt.map(crate::datatypes::Range1D))
})
.collect::<DeserializationResult<Vec<Option<_>>>>()?
}
.into_iter()
}
};
ZipValidity::new_with_validity(
::itertools::izip!(x_range, y_range),
arrow_data.nulls(),
)
.map(|opt| {
opt.map(|(x_range, y_range)| {
Ok(Self {
x_range: x_range
.ok_or_else(DeserializationError::missing_data)
.with_context("rerun.datatypes.Range2D#x_range")?,
y_range: y_range
.ok_or_else(DeserializationError::missing_data)
.with_context("rerun.datatypes.Range2D#y_range")?,
})
})
.transpose()
})
.collect::<DeserializationResult<Vec<_>>>()
.with_context("rerun.datatypes.Range2D")?
}
})
}
}
impl ::re_byte_size::SizeBytes for Range2D {
#[inline]
fn heap_size_bytes(&self) -> u64 {
self.x_range.heap_size_bytes() + self.y_range.heap_size_bytes()
}
#[inline]
fn is_pod() -> bool {
<crate::datatypes::Range1D>::is_pod() && <crate::datatypes::Range1D>::is_pod()
}
}