From 78fbc47f68488ccd798f051bc45265d8717933da Mon Sep 17 00:00:00 2001 From: David Cattermole Date: Sat, 30 Nov 2024 02:50:03 +1100 Subject: [PATCH] Fix pyramid downsampling interpolation, and more. Changes to: - Curve interpolation. - Resample interpolation. - Downsampling algorthim to maintain key features. - Downsampling, maintaining end-points. - Curve fitting with interpolation method. - Test programs simplfied to reduce line count. - Test image output file names. - f64 to 'Real' type. This is a big change, but basically this change is a simplification of test code, fixing of the pyramid down-sampling algorithm, and unification around new, reuseable interpolation code. --- Cargo.toml | 1 + lib/rust/mmscenegraph/Cargo.toml | 1 + lib/rust/mmscenegraph/src/constant.rs | 3 + .../src/curve/detect/keypoints.rs | 126 +++-- .../mmscenegraph/src/curve/detect/pops.rs | 31 +- lib/rust/mmscenegraph/src/curve/pyramid.rs | 360 +++++++++----- lib/rust/mmscenegraph/src/curve/resample.rs | 141 +----- .../mmscenegraph/src/curve/smooth/gaussian.rs | 57 ++- lib/rust/mmscenegraph/src/math/curve_fit.rs | 90 +--- lib/rust/mmscenegraph/src/math/interpolate.rs | 393 +++++++++++++++ lib/rust/mmscenegraph/tests/common/mod.rs | 93 ++++ .../tests/curve_detect_keypoints.rs | 154 ++---- .../mmscenegraph/tests/curve_detect_pops.rs | 470 +++++++++--------- lib/rust/mmscenegraph/tests/curve_infill.rs | 28 +- lib/rust/mmscenegraph/tests/curve_pyramid.rs | 161 ++++++ .../tests/curve_smooth_gaussian.rs | 15 +- .../mmscenegraph/tests/curvefit_degree_45.rs | 350 ++++--------- .../mmscenegraph/tests/curvefit_identity.rs | 180 +++---- .../tests/curvefit_linear_2_point.rs | 181 +++---- .../tests/curvefit_linear_3_point.rs | 199 +++----- .../tests/curvefit_linear_4_point.rs | 218 ++++---- .../data/bounce_5_up_down_infill_gap1.png | Bin 95446 -> 0 bytes .../data/bounce_5_up_down_infill_gap2.png | Bin 86532 -> 0 bytes .../bounce_5_up_down_infill_resample10.png | Bin 95224 -> 0 bytes .../bounce_5_up_down_infill_resample2.png | Bin 81380 -> 0 bytes .../bounce_5_up_down_infill_resample20.png | Bin 97248 -> 0 bytes .../bounce_5_up_down_infill_resample5.png | Bin 84719 -> 0 bytes .../data/bounce_5_up_down_pop2_keypoints.png | Bin 126951 -> 0 bytes .../tests/data/bounce_5_up_down_pop3.png | Bin 111940 -> 0 bytes .../data/bounce_5_up_down_raw_keypoints.png | Bin 126174 -> 0 bytes .../bounce_5_up_down_variance2_keypoints.png | Bin 127820 -> 0 bytes .../data/curvefit_degree_45_down_raw.png | Bin 0 -> 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9db7231f..710d65be 100644 --- a/Cargo.toml +++ b/Cargo.toml @@ -24,6 +24,7 @@ argmin = { version = "0.10.0", default-features = true, features = ["serde1"] } argmin-math = { version = "0.4", default-features = true, features = ["primitives", "vec", "ndarray_latest"] } criterion = { version = "0.5.1", default-features = false, features = ["html_reports"] } exr = "1.72.0" +enum_dispatch = "0.3.13" fastapprox = "0.3.1" finitediff = { version = "0.1.4", features = ["ndarray"] } half = { version = "2.4.1", default-features = false, features = ["std", "num-traits"] } diff --git a/lib/rust/mmscenegraph/Cargo.toml b/lib/rust/mmscenegraph/Cargo.toml index 3c442918..fb3a864c 100644 --- a/lib/rust/mmscenegraph/Cargo.toml +++ b/lib/rust/mmscenegraph/Cargo.toml @@ -19,6 +19,7 @@ anyhow = { workspace = true } approx = { workspace = true } argmin = { workspace = true } argmin-math = { workspace = true } +enum_dispatch = { workspace = true } fastapprox = { workspace = true } finitediff = { workspace = true } log = { workspace = true } diff --git a/lib/rust/mmscenegraph/src/constant.rs b/lib/rust/mmscenegraph/src/constant.rs index 988e3529..a23166c7 100644 --- a/lib/rust/mmscenegraph/src/constant.rs +++ b/lib/rust/mmscenegraph/src/constant.rs @@ -48,3 +48,6 @@ pub const MM_TO_CM: Real = 0.1; pub const _CM_TO_MM: Real = 10.0; pub const INCH_TO_MM: Real = 25.4; pub const _INCH_TO_CM: Real = 2.54; + +// Number constants. +pub const REAL_E: f64 = std::f64::consts::E; diff --git a/lib/rust/mmscenegraph/src/curve/detect/keypoints.rs b/lib/rust/mmscenegraph/src/curve/detect/keypoints.rs index 575c274c..47cea5a9 100644 --- a/lib/rust/mmscenegraph/src/curve/detect/keypoints.rs +++ b/lib/rust/mmscenegraph/src/curve/detect/keypoints.rs @@ -112,30 +112,28 @@ fn compute_velocity_importance(velocity: Real, acceleration: Real) -> Real { } /// Detect keypoints specific to animation curves -fn detect_level_keypoints( - level: &PyramidLevel, - existing_keypoints: &[RankedKeypoint], +pub fn detect_level_keypoints( + times: &[Real], + values: &[Real], + velocity: &[Real], + acceleration: &[Real], + curvature: &[Real], current_level: usize, ) -> Vec { - debug!("detect_level_keypoints: level.level={:?}", level.level); - debug!("detect_level_keypoints: level.scale={:?}", level.scale()); + debug!("detect_level_keypoints: times.len()={}", times.len()); + debug!("detect_level_keypoints: values.len()={}", values.len()); + debug!("detect_level_keypoints: velocity.len()={}", velocity.len()); debug!( - "detect_level_keypoints: existing_keypoints.len()={:?}", - existing_keypoints.len() + "detect_level_keypoints: acceleration.len()={}", + acceleration.len() ); debug!( - "detect_level_keypoints: existing_keypoints={:?}", - existing_keypoints + "detect_level_keypoints: curvature.len()={}", + curvature.len() ); - debug!("detect_level_keypoints: current_level={:?}", current_level); - - let mut keypoints = Vec::new(); - let times = &level.times; - let values = &level.values; - let velocity = &level.velocity; - let acceleration = &level.acceleration; - let curvature = &level.curvature; + debug!("detect_level_keypoints: current_level={}", current_level); + let mut keypoints = Vec::with_capacity(times.len() / 2); for i in 1..times.len() - 1 { let curr_time = times[i]; let _prev_time = times[i - 1]; @@ -190,24 +188,14 @@ fn detect_level_keypoints( keypoint_type = Some(KeypointType::VelocityPeak); } - // If point is important and not near existing keypoints if let Some(kp_type) = keypoint_type { - let level_scale = level.scale(); - // let level_scale = level.inverse_scale(); - - if !is_near_existing_keypoint( - curr_time, - level_scale, - existing_keypoints, - ) { - keypoints.push(RankedKeypoint { - time: curr_time, - value: curr_value, - importance, - level_detected: current_level, - keypoint_type: kp_type, - }); - } + keypoints.push(RankedKeypoint { + time: curr_time, + value: curr_value, + importance, + level_detected: current_level, + keypoint_type: kp_type, + }); } } @@ -222,6 +210,67 @@ fn detect_level_keypoints( keypoints } +/// Detect keypoints specific to animation curves +fn detect_level_and_combine_keypoints( + level: &PyramidLevel, + existing_keypoints: &[RankedKeypoint], + current_level: usize, +) -> Vec { + debug!( + "detect_level_and_combine_keypoints: level.level={:?}", + level.level + ); + debug!( + "detect_level_and_combine_keypoints: level.scale={:?}", + level.scale() + ); + debug!( + "detect_level_and_combine_keypoints: existing_keypoints.len()={:?}", + existing_keypoints.len() + ); + debug!( + "detect_level_and_combine_keypoints: existing_keypoints={:?}", + existing_keypoints + ); + debug!( + "detect_level_and_combine_keypoints: current_level={:?}", + current_level + ); + + let level_keypoints = detect_level_keypoints( + &level.times, + &level.values, + &level.velocity, + &level.acceleration, + &level.curvature, + current_level, + ); + + let mut keypoints = Vec::new(); + for keypoint in level_keypoints { + if !is_near_existing_keypoint( + keypoint.time, + level.scale(), + existing_keypoints, + ) { + keypoints.push(keypoint); + } + } + + debug!( + "detect_level_and_combine_keypoints: keypoints.len()={:?}", + keypoints.len() + ); + for keypoint in &keypoints { + debug!( + "detect_level_and_combine_keypoints: keypoint={:?}", + keypoint + ); + } + + keypoints +} + /// Check if point is near any existing keypoint. fn is_near_existing_keypoint( time: Real, @@ -308,8 +357,11 @@ fn process_pyramid_levels( // Process levels from coarse to fine. let mut max_level = 0; for pyramid in pyramids.iter().rev() { - let pyramid_keypoints = - detect_level_keypoints(pyramid, &all_keypoints, pyramid.level); + let pyramid_keypoints = detect_level_and_combine_keypoints( + pyramid, + &all_keypoints, + pyramid.level, + ); for keypoint in pyramid_keypoints { all_keypoints.push(keypoint); @@ -328,7 +380,7 @@ fn process_pyramid_levels( Ok(selected) } -fn filter_keypoints_by_type_and_level( +pub fn filter_keypoints_by_type_and_level( only_keypoint_type: KeypointType, only_level_detected: usize, min_spacing: Real, diff --git a/lib/rust/mmscenegraph/src/curve/detect/pops.rs b/lib/rust/mmscenegraph/src/curve/detect/pops.rs index 04857b96..e24fe1cc 100644 --- a/lib/rust/mmscenegraph/src/curve/detect/pops.rs +++ b/lib/rust/mmscenegraph/src/curve/detect/pops.rs @@ -23,6 +23,7 @@ use anyhow::Result; use log::debug; use std::fmt; +use crate::constant::Real; use crate::curve::derivatives::allocate_derivatives_order_2; use crate::curve::derivatives::calculate_derivatives_order_2; use crate::math::statistics::calc_median_absolute_deviation_sigma; @@ -34,9 +35,9 @@ use crate::math::statistics::SortedDataSliceOps; /// Represents a point that was classified as a pop #[derive(Debug)] pub struct PopPoint { - pub time: f64, - pub value: f64, - pub score: f64, + pub time: Real, + pub value: Real, + pub score: Real, } impl fmt::Display for PopPoint { @@ -50,11 +51,11 @@ impl fmt::Display for PopPoint { } fn calculate_per_frame_pop_score( - times: &[f64], - values: &[f64], - out_velocity: &mut [f64], - out_acceleration: &mut [f64], - out_scores: &mut [f64], + times: &[Real], + values: &[Real], + out_velocity: &mut [Real], + out_acceleration: &mut [Real], + out_scores: &mut [Real], ) -> Result<()> { if (times.len() != values.len()) && (times.len() != out_scores.len()) { bail!("Times, values and output arrays must have the same length."); @@ -105,9 +106,9 @@ fn calculate_per_frame_pop_score( /// Find pops in the data. pub fn detect_curve_pops( - times: &[f64], - values: &[f64], - threshold: f64, + times: &[Real], + values: &[Real], + threshold: Real, ) -> Result> { if times.len() != values.len() { bail!("Times and values must have the same length."); @@ -176,10 +177,10 @@ pub fn detect_curve_pops( } pub fn filter_curve_pops( - times: &[f64], - values: &[f64], - threshold: f64, -) -> Result> { + times: &[Real], + values: &[Real], + threshold: Real, +) -> Result> { if times.len() != values.len() { bail!("Times and values must have the same length."); } diff --git a/lib/rust/mmscenegraph/src/curve/pyramid.rs b/lib/rust/mmscenegraph/src/curve/pyramid.rs index c6941d5b..f81468e7 100644 --- a/lib/rust/mmscenegraph/src/curve/pyramid.rs +++ b/lib/rust/mmscenegraph/src/curve/pyramid.rs @@ -22,26 +22,32 @@ use anyhow::bail; use anyhow::Result; use log::debug; +use crate::constant::Real; use crate::curve::curvature::allocate_curvature; use crate::curve::curvature::calculate_curvature; use crate::curve::derivatives::allocate_derivatives_order_2; use crate::curve::derivatives::calculate_derivatives_order_2; +use crate::curve::detect::keypoints::detect_level_keypoints; +use crate::curve::detect::keypoints::filter_keypoints_by_type_and_level; +use crate::curve::detect::keypoints::KeypointType; use crate::curve::smooth::gaussian::gaussian_smooth_2d; +use crate::math::interpolate::evaluate_curve_points; +use crate::math::interpolate::InterpolationMethod; /// Represents a level in the animation curve pyramid. #[derive(Debug)] pub struct PyramidLevel { /// X-value (time) - pub times: Vec, + pub times: Vec, /// Y-value (animated property) - pub values: Vec, + pub values: Vec, /// First derivative - pub velocity: Vec, + pub velocity: Vec, /// Second derivative. - pub acceleration: Vec, + pub acceleration: Vec, /// Key properties of curvature: /// @@ -56,7 +62,7 @@ pub struct PyramidLevel { /// /// - Units are 1/radius - smaller radius = sharper curve = higher /// curvature. - pub curvature: Vec, + pub curvature: Vec, /// Level 0 is the unchanged input points. Higher levels are /// smoothed and reduced number of samples. @@ -65,24 +71,24 @@ pub struct PyramidLevel { /// As the `level` argument increases, the calculated number gets /// larger; '2^level'. -fn pyramid_level_scale(level: usize) -> f64 { - 2.0f64.powi(level as i32) +fn pyramid_level_scale(level: usize) -> Real { + (2.0 as Real).powi(level as i32) } /// As the `level` argument increases, the calculated number gets /// smaller; '2^(-level)'. -fn pyramid_level_inverse_scale(level: usize) -> f64 { - 2.0f64.powi(-(level as i32)) +fn pyramid_level_inverse_scale(level: usize) -> Real { + (2.0 as Real).powi(-(level as i32)) } impl PyramidLevel { /// Level 0 scale is 1.0. Higher levels are larger. - pub fn scale(&self) -> f64 { + pub fn scale(&self) -> Real { pyramid_level_scale(self.level) } /// Level 0 scale is 1.0. Higher levels are larger. - pub fn inverse_scale(&self) -> f64 { + pub fn inverse_scale(&self) -> Real { pyramid_level_inverse_scale(self.level) } } @@ -91,7 +97,7 @@ impl PyramidLevel { pub fn compute_pyramid_depth(input_size: usize) -> usize { debug!("compute_pyramid_depth: input_size={:?}", input_size); - const MIN_LEVEL_SIZE: usize = 4; + const MIN_LEVEL_SIZE: usize = 8; const MAX_DEPTH: usize = 10; // Prevent excessive depth. const MIN_DEPTH: usize = 1; @@ -110,128 +116,85 @@ pub fn compute_pyramid_depth(input_size: usize) -> usize { depth } -/// Down-sample handling variable intervals and odd/even counts, using -/// a sliding window that considers previous, current, and next points -/// for better curve preservation. +/// Down-sample the curve points by a scale factor. fn downsample_curve_points( - times: &[f64], - values: &[f64], - increment: usize, -) -> Result<(Vec, Vec)> { + times: &[Real], + values: &[Real], + scale: Real, +) -> Result<(Vec, Vec)> { debug!("downsample_curve_points: times.len()={:?}", times.len()); debug!("downsample_curve_points: values.len()={:?}", values.len()); - debug!("downsample_curve_points: increment={:?}", increment); + if times.len() != values.len() { bail!("Times and values slice lengths must match."); } if times.len() < 2 { bail!("Times and values are less than 2."); } - if increment < 1 { - bail!("Invalid time intervals in curve points"); - } - - let half_increment = increment / 2; - debug!( - "downsample_curve_points: half_increment={:?}", - half_increment - ); - - // TODO: Improve this guessed value. - let approx_count = (times.len() / 2) + 1; - let mut out_times = Vec::with_capacity(approx_count); - let mut out_values = Vec::with_capacity(approx_count); - - // Always keep first point. - out_times.push(times[0]); - out_values.push(values[0]); - - // Handle interior points using a sliding 3-point window. - let mut i = half_increment; - while i < times.len() - half_increment { - let curr_time = times[i]; - let prev_time = times[i - half_increment]; - let next_time = times[i + half_increment]; - - let _curr_value = values[i]; - let prev_value = values[i - half_increment]; - let next_value = values[i + half_increment]; - - // Time intervals between points. - let dt_prev = curr_time - prev_time; - let dt_next = next_time - curr_time; - - if dt_prev <= 0.0 || dt_next <= 0.0 { - bail!("Invalid time intervals in curve points"); - } - - // Calculate weights based on time intervals. - let total_dt = dt_prev + dt_next; - let w_prev = dt_prev / total_dt; - let w_next = dt_next / total_dt; - let w_total = w_prev + w_next; - - // Compute weighted average considering 2 points. - // - // TODO: Make sure the current values are used too. - let weighted_value = - (prev_value * w_prev + next_value * w_next) / w_total; - let weighted_time = (prev_time * w_prev + next_time * w_next) / w_total; - out_times.push(weighted_time); - out_values.push(weighted_value); + let first_time = times[0]; + let last_index = times.len() - 1; + let last_time = times[last_index]; + + let time_range = last_time - first_time; + let increment = (time_range / times.len() as Real) * scale; + let count = ((time_range / increment) as usize) + 1; + debug!("downsample_curve_points: time_range={time_range}"); + debug!("downsample_curve_points: increment={increment}"); + debug!("downsample_curve_points: count={count}"); + + let mut out_times = Vec::with_capacity(count); + let mut current_time = first_time; + while current_time <= last_time { + debug!("downsample_curve_points: current_time={current_time}"); + out_times.push(current_time); + current_time += increment; + } - i += increment; + // Must ensure that the full time range is maintained - we don't + // want to have the curve shrunk each time a down-sampling occurs. + let out_times_last_index = out_times.len() - 1; + let out_times_last_time = out_times[out_times_last_index]; + let diff = out_times_last_time - last_time; + if diff.abs() < increment { + out_times[out_times_last_index] = last_time; + } else { + out_times.push(last_time); } - // Handle remaining points. - match times.len().saturating_sub(i) { - // One point remaining. - 1 => { - let last_index = times.len() - 1; - let last_time = times[last_index]; - let last_value = values[last_index]; - out_times.push(last_time); - out_values.push(last_value); - } - // Two points remaining. - 2 => { - let last_index = times.len() - 1; - let _prev_index = times.len() - 2; - let last_time = times[last_index]; - let prev_time = times[last_index]; - let last_value = values[last_index]; - let prev_value = values[last_index]; - - // Weighted average of final two points - let dt = last_time - prev_time; - if dt <= 0.0 { - bail!("Invalid time interval in final points"); - } + // Because cubic spline interpolation allows a smooth re-sampling between + // points, and does not have tangent issues on the boundaries. + let interpolation_method = InterpolationMethod::CubicSpline; - // Second to last point. - let time = (prev_time + last_time) * 0.5; - let value = (prev_value + last_value) * 0.5; - out_times.push(time); - out_values.push(value); + let downsampled_xy = + evaluate_curve_points(&out_times, times, values, interpolation_method); + assert_eq!(out_times.len(), downsampled_xy.len()); - // Last point. - out_times.push(last_time); - out_values.push(last_value); - } - _ => {} + let mut out_values = Vec::with_capacity(count); + for xy in downsampled_xy { + out_values.push(xy.1); } + assert_eq!(out_times.len(), out_values.len()); + + debug!( + "downsample_curve_points: out_times.len()={:?}", + out_times.len() + ); + debug!( + "downsample_curve_points: out_values.len()={:?}", + out_values.len() + ); Ok((out_times, out_values)) } /// Compute derivatives handling variable time intervals and edge cases fn compute_metadata( - times: &[f64], - values: &[f64], - out_velocity: &mut [f64], - out_acceleration: &mut [f64], - out_curvature: &mut [f64], + times: &[Real], + values: &[Real], + out_velocity: &mut [Real], + out_acceleration: &mut [Real], + out_curvature: &mut [Real], ) -> Result<()> { debug!("compute_metadata: times.len()={:?}", times.len()); @@ -251,10 +214,15 @@ fn compute_metadata( } fn create_pyramid_level( - times: Vec, - values: Vec, + times: Vec, + values: Vec, level_num: usize, ) -> Result { + debug!("create_pyramid_level: level_num={level_num}"); + for (t, v) in times.iter().zip(values.iter()) { + debug!("create_pyramid_level: t={t} v={v}"); + } + let (mut velocity, mut acceleration) = allocate_derivatives_order_2(times.len())?; let mut curvature = allocate_curvature(times.len())?; @@ -275,16 +243,54 @@ fn create_pyramid_level( }) } +fn merge_curves( + samples_a: &[(Real, Real)], + samples_b: &[(Real, Real)], + time_width: Real, +) -> Result> { + let mut samples = Vec::with_capacity(samples_a.len() + samples_b.len()); + + let mut overlapping_with_a = vec![false; samples_a.len()]; + for xy_b in samples_b.iter() { + let time_b = xy_b.0; + let _value_b = xy_b.1; + for (i, (time_a, _value_a)) in samples_a.iter().enumerate() { + let time_diff = (time_a - time_b).abs(); + if time_diff < time_width { + overlapping_with_a[i] = true; + } + } + } + + for (xy, overlapping) in samples_a.iter().zip(overlapping_with_a) { + if overlapping == false { + samples.push(*xy); + } + } + + for xy in samples_b.iter() { + samples.push(*xy); + } + + // Sort by time + samples.sort_by(|a, b| a.0.partial_cmp(&b.0).unwrap()); + + Ok(samples) +} + /// Builds pyramid with careful handling of boundaries and intervals. pub fn build_pyramid_levels( - times: &[f64], - values: &[f64], + times: &[Real], + values: &[Real], num_levels: usize, ) -> Result> { debug!("build_pyramid_levels: values.len()={:?}", values.len()); debug!("build_pyramid_levels: times.len()={:?}", times.len()); debug!("build_pyramid_levels: num_levels={:?}", num_levels); + let use_keypoint_detection = true; + let smooth_factor = 1.0; + let mut pyramid = Vec::with_capacity(num_levels); // Initialize base level (level zero). @@ -299,7 +305,6 @@ pub fn build_pyramid_levels( for level_num in 1..num_levels { debug!("build_pyramid_levels: level_num={level_num}"); let prev_level = &pyramid[level_num - 1]; - if prev_level.times.len() < MIN_PYRAMID_CURVE_SAMPLES { break; } @@ -309,7 +314,7 @@ pub fn build_pyramid_levels( // Using a smaller smooth width than the down-sampling seems // to provide more robust and uniform results. - let smooth_width = scale * 0.5; + let smooth_width = scale * smooth_factor; debug!("build_pyramid_levels: smooth_width={smooth_width}"); let mut smoothed_values = vec![0.0; values.len()]; @@ -319,19 +324,124 @@ pub fn build_pyramid_levels( smoothed_values.len() ); - // Reduce point count. let (downsampled_times, downsampled_values) = - downsample_curve_points(times, &smoothed_values, scale as usize)?; + downsample_curve_points(times, &smoothed_values, scale)?; debug!( "build_pyramid_levels: downsampled_times.len()={}", downsampled_times.len() ); - let pyramid_level = create_pyramid_level( - downsampled_times, - downsampled_values, - level_num, - )?; + let (out_times, out_values) = if use_keypoint_detection == false { + // Uniform sampling. + (downsampled_times, downsampled_values) + } else { + // A mixture of uniform sampling with key-point feature + // preservation. + let first_time = times[0]; + let last_index = times.len() - 1; + let last_time = times[last_index]; + + let reduction_scale = scale; + let time_range = last_time - first_time; + let increment = + (time_range / times.len() as Real) * reduction_scale; + let count = ((time_range / increment) as usize) + 1; + debug!("build_pyamid_levels: time_range={time_range}"); + debug!("build_pyamid_levels: increment={increment}"); + debug!("build_pyamid_levels: count={count}"); + + let target_keypoints = count / 2; + + // Detect keypoints. + let (mut velocity, mut acceleration) = + allocate_derivatives_order_2(times.len())?; + let mut curvature = allocate_curvature(times.len())?; + compute_metadata( + ×, + &values, + &mut velocity, + &mut acceleration, + &mut curvature, + )?; + let all_keypoints = detect_level_keypoints( + ×, + &smoothed_values, + &velocity, + &acceleration, + &curvature, + level_num, + ); + debug!( + "build_pyamid_levels: all_keypoints.len()={}", + all_keypoints.len() + ); + + let mut selected_keypoints = Vec::with_capacity(target_keypoints); + + // Always include endpoints. + for keypoint in all_keypoints + .iter() + .filter(|k| k.keypoint_type == KeypointType::Endpoint) + { + selected_keypoints.push(keypoint.clone()); + } + + // Minimum spacing between keypoints (adaptive based on target + // count). + let min_spacing = time_range / (target_keypoints as Real * 2.0); + + filter_keypoints_by_type_and_level( + KeypointType::ExtremeValue, + level_num, + min_spacing, + target_keypoints, + &all_keypoints, + &mut selected_keypoints, + ); + + let mut downsampled_xy: Vec<_> = downsampled_times + .iter() + .zip(downsampled_values) + .map(|(&t, v)| (t, v)) + .collect(); + downsampled_xy.sort_by(|a, b| a.0.partial_cmp(&b.0).unwrap()); + + let mut keypoints = Vec::with_capacity(selected_keypoints.len()); + for keypoint in selected_keypoints.iter() { + keypoints.push((keypoint.time, keypoint.value)); + } + keypoints.sort_by(|a, b| a.0.partial_cmp(&b.0).unwrap()); + + let mut samples = merge_curves(&downsampled_xy, &keypoints, scale)?; + + // Ensure first frame is maintained. + const EPSILON: Real = 0.0001; + let first_sample_xy = samples[0]; + let first_time_diff = (times[0] - first_sample_xy.0).abs(); + if first_time_diff > EPSILON { + samples.insert(0, (times[0], smoothed_values[0])); + } + + // Ensure last frame is maintained. + let times_last_index = times.len() - 1; + let samples_last_index = samples.len() - 1; + let last_sample_xy = samples[samples_last_index]; + let last_time_diff = + (times[times_last_index] - last_sample_xy.0).abs(); + if last_time_diff > EPSILON { + samples.push(( + times[times_last_index], + smoothed_values[times_last_index], + )); + } + + let out_times = samples.iter().map(|xy| xy.0 as Real).collect(); + let out_values = samples.iter().map(|xy| xy.1 as Real).collect(); + (out_times, out_values) + }; + + let pyramid_level = + create_pyramid_level(out_times, out_values, level_num)?; pyramid.push(pyramid_level); } diff --git a/lib/rust/mmscenegraph/src/curve/resample.rs b/lib/rust/mmscenegraph/src/curve/resample.rs index e8808c47..40a584d8 100644 --- a/lib/rust/mmscenegraph/src/curve/resample.rs +++ b/lib/rust/mmscenegraph/src/curve/resample.rs @@ -23,113 +23,15 @@ use anyhow::Result; use log::debug; use crate::constant::Real; - -#[derive(Debug, Copy, Clone)] -pub enum Interpolation { - Nearest, - Linear, -} - -fn resample_uniform_xy_nearest( - values_xy: &[(Real, Real)], - start: Real, - end: Real, - increment: Real, - out_values_xy: &mut Vec<(Real, Real)>, -) { - let mut current_time = start; - while current_time <= end { - // Binary search for the closest point. - let closest_index = values_xy - .binary_search_by(|&(x, _)| { - let diff = x - current_time; - if diff.abs() < f64::EPSILON { - std::cmp::Ordering::Equal - } else if diff < 0.0 { - std::cmp::Ordering::Less - } else { - std::cmp::Ordering::Greater - } - }) - .unwrap_or_else(|i| { - if i == 0 { - 0 - } else if i >= values_xy.len() { - values_xy.len() - 1 - } else { - // Compare distances to find nearest. - let prev_dist = (values_xy[i - 1].0 - current_time).abs(); - let next_dist = (values_xy[i].0 - current_time).abs(); - if prev_dist < next_dist { - i - 1 - } else { - i - } - } - }); - - out_values_xy.push((current_time, values_xy[closest_index].1)); - current_time += increment; - } -} - -fn resample_uniform_xy_linear( - values_xy: &[(Real, Real)], - start: Real, - end: Real, - increment: Real, - out_values_xy: &mut Vec<(Real, Real)>, -) { - let mut current_time = start; - while current_time <= end { - // Find surrounding points for interpolation. - let search_result = values_xy.binary_search_by(|&(x, _)| { - let diff = x - current_time; - if diff.abs() < f64::EPSILON { - std::cmp::Ordering::Equal - } else if diff < 0.0 { - std::cmp::Ordering::Less - } else { - std::cmp::Ordering::Greater - } - }); - - let interpolated_value = match search_result { - Ok(exact_index) => { - // Exact match found. - values_xy[exact_index].1 - } - Err(insert_index) => { - if insert_index == 0 { - // Before first point. - values_xy[0].1 - } else if insert_index >= values_xy.len() { - // After last point. - values_xy[values_xy.len() - 1].1 - } else { - // Interpolate between points. - let (x1, y1) = values_xy[insert_index - 1]; - let (x2, y2) = values_xy[insert_index]; - - // Linear interpolation formula: - // y = y1 + (y2-y1)*(x-x1)/(x2-x1) - let t = (current_time - x1) / (x2 - x1); - y1 + (y2 - y1) * t - } - } - }; - - out_values_xy.push((current_time, interpolated_value)); - current_time += increment; - } -} +use crate::math::interpolate::evaluate_curve_points; +use crate::math::interpolate::InterpolationMethod; pub fn resample_uniform_xy( values_xy: &[(Real, Real)], start: Real, end: Real, increment: Real, - interpolation: Interpolation, + interpolation_method: InterpolationMethod, ) -> Result> { if values_xy.is_empty() { bail!("Input value slices must have values."); @@ -143,28 +45,25 @@ pub fn resample_uniform_xy( let expected_count = ((end - start) / increment).ceil() as usize + 1; debug!("expected_count: {expected_count:?}"); - if expected_count == 0 { - bail!("Expected count must be greater than 0."); - } + assert!(expected_count > 0, "Expected count must be greater than 0."); - let mut out_values_xy = Vec::with_capacity(expected_count); + // Split input into separate x and y vectors. + let (control_points_x, control_points_y): (Vec, Vec) = + values_xy.iter().copied().unzip(); - match interpolation { - Interpolation::Nearest => resample_uniform_xy_nearest( - values_xy, - start, - end, - increment, - &mut out_values_xy, - ), - Interpolation::Linear => resample_uniform_xy_linear( - values_xy, - start, - end, - increment, - &mut out_values_xy, - ), + // Generate uniform x values for resampling. + let mut x_values = Vec::with_capacity(expected_count); + let mut current_time = start; + while current_time <= end { + x_values.push(current_time); + debug!("resample: current_time={current_time}"); + current_time += increment; } - Ok(out_values_xy) + Ok(evaluate_curve_points( + &x_values, + &control_points_x, + &control_points_y, + interpolation_method, + )) } diff --git a/lib/rust/mmscenegraph/src/curve/smooth/gaussian.rs b/lib/rust/mmscenegraph/src/curve/smooth/gaussian.rs index 7e637730..04bd8680 100644 --- a/lib/rust/mmscenegraph/src/curve/smooth/gaussian.rs +++ b/lib/rust/mmscenegraph/src/curve/smooth/gaussian.rs @@ -28,18 +28,19 @@ use anyhow::bail; use anyhow::Result; -// use crate::constant::Real; +use crate::constant::Real; +use crate::constant::REAL_E; /// Compute array of Gaussian weights for a given sigma value. #[inline] fn compute_gaussian_weights_1d( - sigma: f64, + sigma: Real, center: usize, - out_weights: &mut [f64], - out_weights_sum: &mut f64, + out_weights: &mut [Real], + out_weights_sum: &mut Real, ) { // Calculate center position for Gaussian - let center_pos = center as f64; + let center_pos = center as Real; // Precompute constant factors let sigma_squared_2 = 2.0 * sigma.powi(2); @@ -51,10 +52,9 @@ fn compute_gaussian_weights_1d( // Compute all weights in a single vectorizable loop for i in 0..out_weights.len() { - let x = i as f64; + let x = i as Real; let diff = x - center_pos; - out_weights[i] = - std::f64::consts::E.powf(-diff.powi(2) / sigma_squared_2); + out_weights[i] = REAL_E.powf(-diff.powi(2) / sigma_squared_2); } *out_weights_sum = 0.0; @@ -67,11 +67,11 @@ fn compute_gaussian_weights_1d( /// adjusting for non-uniform time sampling. #[inline] fn compute_gaussian_weights_2d( - times: &[f64], - sigma: f64, + times: &[Real], + sigma: Real, center_index: usize, - out_weights: &mut [f64], - out_weights_sum: &mut f64, + out_weights: &mut [Real], + out_weights_sum: &mut Real, ) { // Get center time value let center_time = times[center_index]; @@ -87,8 +87,7 @@ fn compute_gaussian_weights_2d( // Compute weights based on time differences rather than indices for i in 0..out_weights.len() { let time_diff = times[i] - center_time; - out_weights[i] = - std::f64::consts::E.powf(-time_diff.powi(2) / sigma_squared_2); + out_weights[i] = REAL_E.powf(-time_diff.powi(2) / sigma_squared_2); } // Calculate sum of weights @@ -105,9 +104,9 @@ fn compute_gaussian_weights_2d( /// * `width` - Smoothing width (>1.0 for smoothing effect) /// * `out_values` - Pre-allocated buffer for output values, must be same length as input pub fn gaussian_smooth_1d( - values: &[f64], - width: f64, - out_values: &mut [f64], + values: &[Real], + width: Real, + out_values: &mut [Real], ) -> Result<()> { if values.len() != out_values.len() { bail!("Output buffer must be same length as input values"); @@ -152,10 +151,10 @@ pub fn gaussian_smooth_1d( /// * `out_values` - Pre-allocated buffer for output values, must be /// same length as input. pub fn gaussian_smooth_2d( - times: &[f64], - values: &[f64], - width: f64, - out_values: &mut [f64], + times: &[Real], + values: &[Real], + width: Real, + out_values: &mut [Real], ) -> Result<()> { // Input validation if times.len() != values.len() { @@ -218,7 +217,7 @@ mod tests { #[test] fn test_1d_large_array() -> Result<()> { - let values: Vec = (0..1000).map(|x| x as f64).collect(); + let values: Vec = (0..1000).map(|x| x as Real).collect(); let mut result = vec![0.0; values.len()]; gaussian_smooth_1d(&values, 5.0, &mut result)?; @@ -230,7 +229,7 @@ mod tests { fn test_1d_alignment() -> Result<()> { let sizes = [1, 8, 16, 32, 64, 128]; for size in sizes.iter() { - let values: Vec = (0..*size).map(|x| x as f64).collect(); + let values: Vec = (0..*size).map(|x| x as Real).collect(); let mut result = vec![0.0; values.len()]; gaussian_smooth_1d(&values, 3.0, &mut result)?; assert_eq!(result.len(), values.len()); @@ -241,7 +240,7 @@ mod tests { #[test] fn test_1d_edge_cases() -> Result<()> { // Empty array - let empty: Vec = vec![]; + let empty: Vec = vec![]; let mut result = vec![]; gaussian_smooth_1d(&empty, 2.0, &mut result)?; assert_eq!(result, empty); @@ -263,7 +262,7 @@ mod tests { #[test] fn test_2d_uniform_sampling() -> Result<()> { - let times: Vec = (0..5).map(|x| x as f64).collect(); + let times: Vec = (0..5).map(|x| x as Real).collect(); let values = vec![1.0, 2.0, 3.0, 2.0, 1.0]; let mut result = vec![0.0; values.len()]; gaussian_smooth_2d(×, &values, 2.0, &mut result)?; @@ -274,8 +273,8 @@ mod tests { } /// Helper function to generate an array of time values matching array indices - fn generate_uniform_times(len: usize) -> Vec { - (0..len).map(|x| x as f64).collect() + fn generate_uniform_times(len: usize) -> Vec { + (0..len).map(|x| x as Real).collect() } #[test] @@ -285,8 +284,8 @@ mod tests { let test_widths = [1.5, 2.0, 3.0, 5.0, 10.0]; for &size in &test_sizes { - let values: Vec = - (0..size).map(|x| (x as f64 * 0.1).sin()).collect(); + let values: Vec = + (0..size).map(|x| (x as Real * 0.1).sin()).collect(); let times = generate_uniform_times(values.len()); for &width in &test_widths { diff --git a/lib/rust/mmscenegraph/src/math/curve_fit.rs b/lib/rust/mmscenegraph/src/math/curve_fit.rs index 60f1dda3..6b60c098 100644 --- a/lib/rust/mmscenegraph/src/math/curve_fit.rs +++ b/lib/rust/mmscenegraph/src/math/curve_fit.rs @@ -28,8 +28,10 @@ use log::debug; use ndarray::{Array1, Array2}; use crate::constant::Real; -use crate::math::interpolate::inverse_lerp_f64; -use crate::math::interpolate::lerp_f64; +use crate::math::interpolate::linear_interpolate_y_value_at_value_x; +use crate::math::interpolate::CurveInterpolator; +use crate::math::interpolate::InterpolationMethod; +use crate::math::interpolate::Interpolator; use crate::math::line::curve_fit_linear_regression_type1; #[derive(Copy, Clone, Debug, PartialEq)] @@ -105,40 +107,6 @@ pub fn linear_regression( Ok((point, angle)) } -fn linear_interpolate_point_y_value_at_value_x( - value_x: f64, - point_a_x: f64, - point_a_y: f64, - point_b_x: f64, - point_b_y: f64, -) -> f64 { - let mix_x = inverse_lerp_f64(point_a_x, point_b_x, value_x); - let mix_y = lerp_f64(point_a_y, point_b_y, mix_x); - mix_y -} - -fn linear_interpolate_y_value_at_value_x( - value_x: f64, - point_a_x: f64, - point_a_y: f64, - point_b_x: f64, - point_b_y: f64, - point_c_x: f64, - point_c_y: f64, -) -> f64 { - if value_x < point_b_x { - linear_interpolate_point_y_value_at_value_x( - value_x, point_a_x, point_a_y, point_b_x, point_b_y, - ) - } else if value_x > point_b_x { - linear_interpolate_point_y_value_at_value_x( - value_x, point_b_x, point_b_y, point_c_x, point_c_y, - ) - } else { - point_b_y - } -} - #[derive(Debug)] struct CurveFitLinearN3Problem { // Curve values we are trying to fit to. @@ -422,26 +390,31 @@ pub fn nonlinear_line_n3( #[derive(Debug)] pub struct CurveFitLinearNPointsProblem { - // Curve values we are trying to fit to + // Curve values we are trying to fit to. reference_values: Vec<(f64, f64)>, - - // X-coordinates of control points (fixed) + // X-coordinates of control points (fixed). control_points_x: Vec, + // Interpolation method to use. + interpolator: Interpolator, } impl CurveFitLinearNPointsProblem { - fn new(control_points_x: Vec, reference_curve: &[(f64, f64)]) -> Self { + fn new( + control_points_x: Vec, + reference_curve: &[(f64, f64)], + interpolation_method: InterpolationMethod, + ) -> Self { let reference_values: Vec<(f64, f64)> = reference_curve.iter().copied().collect(); Self { reference_values, control_points_x, + interpolator: Interpolator::from_method(interpolation_method), } } fn parameter_count(&self) -> usize { - // Only Y coordinates need to be solved for. self.control_points_x.len() } @@ -450,26 +423,11 @@ impl CurveFitLinearNPointsProblem { value_x: f64, control_points_y: &[f64], ) -> f64 { - debug_assert_eq!(self.control_points_x.len(), control_points_y.len()); - - // Find the segment containing value_x. - for i in 0..self.control_points_x.len() - 1 { - if value_x <= self.control_points_x[i + 1] { - if value_x == self.control_points_x[i + 1] { - return control_points_y[i + 1]; - } - return linear_interpolate_point_y_value_at_value_x( - value_x, - self.control_points_x[i], - control_points_y[i], - self.control_points_x[i + 1], - control_points_y[i + 1], - ); - } - } - - // If we get here, value_x is beyond the last point. - *control_points_y.last().unwrap() + self.interpolator.interpolate( + value_x, + &self.control_points_x, + control_points_y, + ) } fn residuals(&self, control_points_y: &[f64]) -> Vec { @@ -514,7 +472,6 @@ impl argmin::core::Gradient for CurveFitLinearNPointsProblem { parameters: &Self::Param, ) -> Result { debug!("Gradient: parameters={parameters:?}"); - assert_eq!(parameters.len(), self.parameter_count()); let vector = (*parameters).forward_diff(&|x| { @@ -612,6 +569,7 @@ pub fn nonlinear_line_n_points_with_initial( y_values: &[f64], x_initial_control_points: &[f64], y_initial_control_points: &[f64], + interpolation_method: InterpolationMethod, ) -> Result> { assert!(x_values.len() > 2); assert_eq!( @@ -637,15 +595,13 @@ pub fn nonlinear_line_n_points_with_initial( .map(|(&x, &y)| (x, y)) .collect(); - // Define the problem + // Define the problem. let problem = CurveFitLinearNPointsProblem::new( x_initial_control_points.to_vec(), &reference_values, + interpolation_method, ); - // TODO: Solve twice - first time we just solve for offset and - // scale of the existing parameters. - // Set up solver let epsilon = 1e-3; let condition = @@ -689,6 +645,7 @@ pub fn nonlinear_line_n_points( x_values: &[f64], y_values: &[f64], control_point_count: usize, + interpolation: InterpolationMethod, ) -> Result> { assert_eq!(x_values.len(), y_values.len()); let value_count = x_values.len(); @@ -726,5 +683,6 @@ pub fn nonlinear_line_n_points( y_values, &x_initial_control_points, &y_initial_control_points, + interpolation, ) } diff --git a/lib/rust/mmscenegraph/src/math/interpolate.rs b/lib/rust/mmscenegraph/src/math/interpolate.rs index a229e8e7..2b44941e 100644 --- a/lib/rust/mmscenegraph/src/math/interpolate.rs +++ b/lib/rust/mmscenegraph/src/math/interpolate.rs @@ -19,6 +19,7 @@ // /// Mathematical interpolation functions. use crate::constant::Real; +use enum_dispatch::enum_dispatch; /// Return 'min_value' to 'max_value' linearly, for a 'mix' value /// between 0.0 and 1.0. @@ -54,3 +55,395 @@ pub fn remap_f64( inverse_lerp_f64(original_from, original_to, value); lerp_f64(target_from, target_to, map_to_original_range) } + +fn linear_interpolate_point_y_value_at_value_x( + value_x: f64, + point_a_x: f64, + point_a_y: f64, + point_b_x: f64, + point_b_y: f64, +) -> f64 { + let mix_x = inverse_lerp_f64(point_a_x, point_b_x, value_x); + let mix_y = lerp_f64(point_a_y, point_b_y, mix_x); + mix_y +} + +pub fn linear_interpolate_y_value_at_value_x( + value_x: f64, + point_a_x: f64, + point_a_y: f64, + point_b_x: f64, + point_b_y: f64, + point_c_x: f64, + point_c_y: f64, +) -> f64 { + if value_x < point_b_x { + linear_interpolate_point_y_value_at_value_x( + value_x, point_a_x, point_a_y, point_b_x, point_b_y, + ) + } else if value_x > point_b_x { + linear_interpolate_point_y_value_at_value_x( + value_x, point_b_x, point_b_y, point_c_x, point_c_y, + ) + } else { + point_b_y + } +} + +#[derive(Debug, Clone, Copy, PartialEq)] +pub enum InterpolationMethod { + // Nearest, + Linear, + CubicNUBS, + CubicSpline, +} + +#[enum_dispatch] +pub trait CurveInterpolator { + fn interpolate( + &self, + value_x: f64, + control_points_x: &[f64], + control_points_y: &[f64], + ) -> f64; +} + +#[derive(Debug, Clone, Copy)] +pub struct LinearInterpolator; + +impl LinearInterpolator { + pub fn new() -> Self { + Self + } +} + +impl CurveInterpolator for LinearInterpolator { + fn interpolate( + &self, + value_x: f64, + control_points_x: &[f64], + control_points_y: &[f64], + ) -> f64 { + debug_assert_eq!(control_points_x.len(), control_points_y.len()); + + for i in 0..control_points_x.len() - 1 { + if value_x <= control_points_x[i + 1] { + if value_x == control_points_x[i + 1] { + return control_points_y[i + 1]; + } + return linear_interpolate_point_y_value_at_value_x( + value_x, + control_points_x[i], + control_points_y[i], + control_points_x[i + 1], + control_points_y[i + 1], + ); + } + } + + *control_points_y.last().unwrap() + } +} + +#[derive(Debug, Clone, Copy)] +pub struct CubicNUBSInterpolator; + +impl CubicNUBSInterpolator { + pub fn new() -> Self { + Self + } + + fn cubic_basis_function(t: f64, i: usize) -> f64 { + let t = t.clamp(0.0, 1.0); + match i { + 0 => (1.0 - t).powi(3) / 6.0, + 1 => (3.0 * t.powi(3) - 6.0 * t.powi(2) + 4.0) / 6.0, + 2 => (-3.0 * t.powi(3) + 3.0 * t.powi(2) + 3.0 * t + 1.0) / 6.0, + 3 => t.powi(3) / 6.0, + _ => 0.0, + } + } + + fn extrapolate_control_point_y_value( + p1_x: f64, + p1_y: f64, + p2_x: f64, + p2_y: f64, + target_x: f64, + ) -> f64 { + let dx = p2_x - p1_x; + if dx.abs() < f64::EPSILON { + return p1_y; + } + let slope = (p2_y - p1_y) / dx; + p1_y + slope * (target_x - p1_x) + } + + // Get 4 control points for a segment, handling boundaries with + // extrapolation. + fn get_control_points( + segment_idx: usize, + control_points_x: &[f64], + control_points_y: &[f64], + ) -> [(f64, f64); 4] { + let n = control_points_x.len(); + let mut points = [(0.0, 0.0); 4]; + + for i in 0..4 { + let idx = segment_idx as isize + (i as isize - 1); + + if idx < 0 { + // Extrapolate before the start. + let x = control_points_x[0] + + idx as f64 * (control_points_x[1] - control_points_x[0]); + let y = Self::extrapolate_control_point_y_value( + control_points_x[0], + control_points_y[0], + control_points_x[1], + control_points_y[1], + x, + ); + points[i] = (x, y); + } else if idx >= n as isize { + // Extrapolate after the end. + let last_idx = n - 1; + let x = control_points_x[last_idx] + + (idx as f64 - last_idx as f64) + * (control_points_x[last_idx] + - control_points_x[last_idx - 1]); + let y = Self::extrapolate_control_point_y_value( + control_points_x[last_idx - 1], + control_points_y[last_idx - 1], + control_points_x[last_idx], + control_points_y[last_idx], + x, + ); + points[i] = (x, y); + } else { + // Within bounds. + points[i] = ( + control_points_x[idx as usize], + control_points_y[idx as usize], + ); + } + } + + points + } +} + +impl CurveInterpolator for CubicNUBSInterpolator { + fn interpolate( + &self, + value_x: f64, + control_points_x: &[f64], + control_points_y: &[f64], + ) -> f64 { + debug_assert_eq!(control_points_x.len(), control_points_y.len()); + debug_assert!( + control_points_x.len() >= 2, + "Need at least 2 control points" + ); + + // Find the appropriate segment. + let mut segment_idx = 0; + for i in 0..control_points_x.len() - 1 { + if value_x <= control_points_x[i + 1] { + segment_idx = i; + break; + } + } + + // Get the 4 control points needed for this segment. + let control_points = Self::get_control_points( + segment_idx, + control_points_x, + control_points_y, + ); + + // Calculate local parameter t. + let t = if segment_idx + 1 < control_points_x.len() { + (value_x - control_points_x[segment_idx]) + / (control_points_x[segment_idx + 1] + - control_points_x[segment_idx]) + } else { + 1.0 + }; + + // Calculate the interpolated value using the basis functions. + let mut result = 0.0; + for i in 0..4 { + result += Self::cubic_basis_function(t, i) * control_points[i].1; + } + + result + } +} + +#[derive(Debug, Clone, Copy)] +pub struct CubicSplineInterpolator; + +impl CubicSplineInterpolator { + pub fn new() -> Self { + Self + } + + // Calculate the coefficients for cubic spline interpolation. + fn calculate_coefficients( + control_points_x: &[f64], + control_points_y: &[f64], + ) -> Vec<(f64, f64, f64, f64)> { + let n = control_points_x.len() - 1; + let mut coefficients = vec![(0.0, 0.0, 0.0, 0.0); n]; + + if n < 1 { + return coefficients; + } + + // Calculate h (differences in x) and slopes. + let mut h = vec![0.0; n]; + let mut slopes = vec![0.0; n]; + for i in 0..n { + h[i] = control_points_x[i + 1] - control_points_x[i]; + slopes[i] = (control_points_y[i + 1] - control_points_y[i]) / h[i]; + } + + // Set up the tridiagonal system for second derivatives. + let mut a = vec![0.0; n - 1]; + let mut b = vec![0.0; n - 1]; + let mut c = vec![0.0; n - 1]; + let mut r = vec![0.0; n - 1]; + + for i in 0..n - 1 { + a[i] = h[i]; + b[i] = 2.0 * (h[i] + h[i + 1]); + c[i] = h[i + 1]; + r[i] = 3.0 * (slopes[i + 1] - slopes[i]); + } + + // Solve the tridiagonal system using Thomas algorithm. + let mut m = vec![0.0; n + 1]; + let mut l = vec![0.0; n - 1]; + let mut u = vec![0.0; n - 1]; + let mut z = vec![0.0; n - 1]; + + l[0] = b[0]; + u[0] = c[0] / l[0]; + z[0] = r[0] / l[0]; + + for i in 1..n - 1 { + l[i] = b[i] - a[i] * u[i - 1]; + u[i] = c[i] / l[i]; + z[i] = (r[i] - a[i] * z[i - 1]) / l[i]; + } + + m[n] = 0.0; + m[0] = 0.0; + + for i in (1..n).rev() { + m[i] = z[i - 1] - u[i - 1] * m[i + 1]; + } + + // Calculate the coefficients for each segment. + for i in 0..n { + let hi = h[i]; + let yi = control_points_y[i]; + let yi1 = control_points_y[i + 1]; + let mi = m[i]; + let mi1 = m[i + 1]; + + coefficients[i] = ( + (mi1 - mi) / (6.0 * hi), + mi / 2.0, + (yi1 - yi) / hi - hi * (mi1 + 2.0 * mi) / 6.0, + yi, + ); + } + + coefficients + } +} + +impl CurveInterpolator for CubicSplineInterpolator { + fn interpolate( + &self, + value_x: f64, + control_points_x: &[f64], + control_points_y: &[f64], + ) -> f64 { + debug_assert_eq!(control_points_x.len(), control_points_y.len()); + debug_assert!( + control_points_x.len() >= 2, + "Need at least 2 control points" + ); + + // Handle edge cases. + if value_x <= control_points_x[0] { + return control_points_y[0]; + } + if value_x >= *control_points_x.last().unwrap() { + return *control_points_y.last().unwrap(); + } + + // Find the appropriate segment. + let mut segment_idx = 0; + for i in 0..control_points_x.len() - 1 { + if value_x <= control_points_x[i + 1] { + segment_idx = i; + break; + } + } + + // Calculate coefficients for all segments. + let coefficients = + Self::calculate_coefficients(control_points_x, control_points_y); + + // Calculate the local x value. + let dx = value_x - control_points_x[segment_idx]; + let (a, b, c, d) = coefficients[segment_idx]; + + // Evaluate the cubic polynomial. + ((a * dx + b) * dx + c) * dx + d + } +} + +#[enum_dispatch(CurveInterpolator)] +#[derive(Debug, Clone)] +pub enum Interpolator { + Linear(LinearInterpolator), + CubicNUBS(CubicNUBSInterpolator), + CubicSpline(CubicSplineInterpolator), +} + +impl Interpolator { + pub fn from_method(method: InterpolationMethod) -> Self { + match method { + InterpolationMethod::Linear => { + Self::Linear(LinearInterpolator::new()) + } + InterpolationMethod::CubicNUBS => { + Self::CubicNUBS(CubicNUBSInterpolator::new()) + } + InterpolationMethod::CubicSpline => { + Self::CubicSpline(CubicSplineInterpolator::new()) + } + } + } +} + +pub fn evaluate_curve_points( + x_values: &[f64], + control_points_x: &[f64], + control_points_y: &[f64], + interpolation_method: InterpolationMethod, +) -> Vec<(f64, f64)> { + let interpolator = Interpolator::from_method(interpolation_method); + x_values + .iter() + .map(|&x| { + let y = + interpolator.interpolate(x, control_points_x, control_points_y); + (x, y) + }) + .collect() +} diff --git a/lib/rust/mmscenegraph/tests/common/mod.rs b/lib/rust/mmscenegraph/tests/common/mod.rs index 9fc99f9b..17fea1b3 100644 --- a/lib/rust/mmscenegraph/tests/common/mod.rs +++ b/lib/rust/mmscenegraph/tests/common/mod.rs @@ -312,6 +312,41 @@ fn calculate_bounds( bounds } +// Calculate bounds for all data series +fn calculate_bounds_vec( + data_series: &Vec>, + control_points: Option<&[Point2]>, +) -> ChartData { + let mut bounds = ChartData { + x_min: FrameTime::MAX, + x_max: FrameTime::MIN, + y_min: Real::MAX, + y_max: Real::MIN, + }; + + for data in data_series { + calculate_data_min_max_values( + data, + &mut bounds.x_min, + &mut bounds.x_max, + &mut bounds.y_min, + &mut bounds.y_max, + ); + } + + if let Some(points) = control_points { + calculate_control_point_min_max_values( + points, + &mut bounds.x_min, + &mut bounds.x_max, + &mut bounds.y_min, + &mut bounds.y_max, + ); + } + + bounds +} + // Generate caption for control points fn generate_control_points_caption(control_points: &[Point2]) -> String { control_points @@ -1008,3 +1043,61 @@ pub fn save_chart_curves_compare_two( Ok(()) } + +#[allow(dead_code)] +pub fn save_chart_curves_compare_many( + data_curves: &Vec>, + chart_title: &str, + chart_file_path: &OsStr, + chart_resolution: (u32, u32), +) -> Result<()> { + let root_area = BitMapBackend::new( + chart_file_path, + (chart_resolution.0, chart_resolution.1), + ) + .into_drawing_area(); + + root_area.fill(&WHITE)?; + let root_area = root_area.titled(chart_title, ("sans-serif", 60))?; + + let bounds = calculate_bounds_vec(data_curves, None); + + let x_pad = 0.1; + let y_pad = (bounds.y_max - bounds.y_min) * 0.05; + let chart_min_value_x = bounds.x_min - x_pad; + let chart_max_value_x = bounds.x_max + x_pad; + let chart_min_value_y = bounds.y_min - y_pad; + let chart_max_value_y = bounds.y_max + y_pad; + + let chart_caption = "Compare Curves A and B"; + let mut cc = ChartBuilder::on(&root_area) + .margin(5) + .set_all_label_area_size(50) + .caption(&chart_caption, ("sans-serif", 20)) + .build_cartesian_2d( + chart_min_value_x..chart_max_value_x, + chart_min_value_y..chart_max_value_y, + )?; + + cc.configure_mesh() + .x_labels(20) + .y_labels(5) + .disable_mesh() + .x_label_formatter(&|v| format!("{:.0}", v)) + .y_label_formatter(&|v| format!("{:.3}", v)) + .draw()?; + + let colours = &[&RED, &GREEN, &BLUE, &CYAN, &MAGENTA, &YELLOW]; + for (i, data_curve) in data_curves.iter().enumerate() { + let colour_index = i.rem_euclid(colours.len()); + let colour = colours[colour_index]; + draw_line_series(&mut cc, data_curve, colour, 2)?; + } + + // To avoid the IO failure being ignored silently, we manually + // call the present function + root_area.present()?; + debug!("Chart saved to: {:?}", chart_file_path); + + Ok(()) +} diff --git a/lib/rust/mmscenegraph/tests/curve_detect_keypoints.rs b/lib/rust/mmscenegraph/tests/curve_detect_keypoints.rs index d708e8a7..7ad36a2f 100644 --- a/lib/rust/mmscenegraph/tests/curve_detect_keypoints.rs +++ b/lib/rust/mmscenegraph/tests/curve_detect_keypoints.rs @@ -46,13 +46,13 @@ use mmscenegraph_rust::curve::detect::keypoints::RankedKeypoint; use mmscenegraph_rust::curve::detect::pops::detect_curve_pops; use mmscenegraph_rust::curve::detect::pops::filter_curve_pops; use mmscenegraph_rust::curve::detect::pops::PopPoint; -use mmscenegraph_rust::curve::resample::resample_uniform_xy; -use mmscenegraph_rust::curve::resample::Interpolation; use mmscenegraph_rust::math::curve_fit::linear_regression; use mmscenegraph_rust::math::curve_fit::nonlinear_line_n3; use mmscenegraph_rust::math::curve_fit::nonlinear_line_n_points; use mmscenegraph_rust::math::curve_fit::nonlinear_line_n_points_with_initial; use mmscenegraph_rust::math::curve_fit::Point2; +use mmscenegraph_rust::math::interpolate::evaluate_curve_points; +use mmscenegraph_rust::math::interpolate::InterpolationMethod; fn print_keypoints(keypoints: &[RankedKeypoint]) { println!("keypoints.len()={:?}", keypoints.len()); @@ -68,25 +68,23 @@ fn print_points(points: &[Point2]) { } } -#[test] -fn bounce_5_up_down_raw_keypoints() -> Result<()> { - let chart_title = "bounce_5_up_down_raw_keypoints"; +fn keypoints_common( + chart_title: &str, + in_file_name: &str, + out_file_name: &str, + target_keypoints: usize, +) -> Result<()> { let chart_resolution = CHART_RESOLUTION; let data_dir = find_data_dir()?; - let in_file_path = - construct_input_file_path(&data_dir, "bounce_5_up_down_raw.chan")?; - let out_file_path = construct_output_file_path( - &data_dir, - "bounce_5_up_down_raw_keypoints.png", - )?; + let in_file_path = construct_input_file_path(&data_dir, in_file_name)?; + let out_file_path = construct_output_file_path(&data_dir, out_file_name)?; let data_raw = read_chan_file(&in_file_path.as_os_str())?; // print_chan_data(&data_raw); let x_values = chan_data_filter_only_x(&data_raw); let y_values = chan_data_filter_only_y(&data_raw); - let target_keypoints = 10; let keypoints = analyze_curve(&x_values, &y_values, target_keypoints)?; print_keypoints(&keypoints); @@ -99,17 +97,30 @@ fn bounce_5_up_down_raw_keypoints() -> Result<()> { .map(|x| (x.time as Real, x.value as Real)) .collect(); + let interpolation_method = InterpolationMethod::CubicNUBS; let points = nonlinear_line_n_points_with_initial( &x_values, &y_values, &x_values_keypoint, &y_values_keypoint, + interpolation_method, )?; print_points(&points); + let control_points_x: Vec = + points.iter().map(|p| p.x() as Real).collect(); + let control_points_y: Vec = + points.iter().map(|p| p.y() as Real).collect(); + let xy_values_eval = evaluate_curve_points( + &x_values, + &control_points_x, + &control_points_y, + interpolation_method, + ); + save_chart_linear_n_points_regression( &data_raw, - &xy_values_keypoint, + &xy_values_eval, &points, chart_title, &out_file_path.as_os_str(), @@ -122,109 +133,28 @@ fn bounce_5_up_down_raw_keypoints() -> Result<()> { } #[test] -fn bounce_5_up_down_variance2_keypoints() -> Result<()> { - let chart_title = "bounce_5_up_down_variance2_keypoints"; - let chart_resolution = CHART_RESOLUTION; - - let data_dir = find_data_dir()?; - let in_file_path = construct_input_file_path( - &data_dir, - "bounce_5_up_down_variance2.chan", - )?; - let out_file_path = construct_output_file_path( - &data_dir, - "bounce_5_up_down_variance2_keypoints.png", - )?; - - let data_raw = read_chan_file(&in_file_path.as_os_str())?; - // print_chan_data(&data_raw); - let x_values = chan_data_filter_only_x(&data_raw); - let y_values = chan_data_filter_only_y(&data_raw); - +fn keypoints_bounce_5_up_down_raw() -> Result<()> { + let chart_title = "keypoints_bounce_5_up_down_raw"; + let in_file_name = "bounce_5_up_down_raw.chan"; + let out_file_name = "keypoints_bounce_5_up_down_raw.png"; let target_keypoints = 10; - let keypoints = analyze_curve(&x_values, &y_values, target_keypoints)?; - print_keypoints(&keypoints); - - let x_values_keypoint: Vec = - keypoints.iter().map(|x| x.time as Real).collect(); - let y_values_keypoint: Vec = - keypoints.iter().map(|x| x.value as Real).collect(); - let xy_values_keypoint: Vec<(Real, Real)> = keypoints - .iter() - .map(|x| (x.time as Real, x.value as Real)) - .collect(); - - let points = nonlinear_line_n_points_with_initial( - &x_values, - &y_values, - &x_values_keypoint, - &y_values_keypoint, - )?; - print_points(&points); - - save_chart_linear_n_points_regression( - &data_raw, - &xy_values_keypoint, - &points, - chart_title, - &out_file_path.as_os_str(), - chart_resolution, - )?; - - assert_eq!(points.len(), x_values_keypoint.len()); - - Ok(()) + keypoints_common(chart_title, in_file_name, out_file_name, target_keypoints) } #[test] -fn bounce_5_up_down_pop2_keypoints() -> Result<()> { - let chart_title = "bounce_5_up_down_pop2_keypoints"; - let chart_resolution = CHART_RESOLUTION; - - let data_dir = find_data_dir()?; - let in_file_path = - construct_input_file_path(&data_dir, "bounce_5_up_down_pop2.chan")?; - let out_file_path = construct_output_file_path( - &data_dir, - "bounce_5_up_down_pop2_keypoints.png", - )?; - - let data_raw = read_chan_file(&in_file_path.as_os_str())?; - // print_chan_data(&data_raw); - let x_values = chan_data_filter_only_x(&data_raw); - let y_values = chan_data_filter_only_y(&data_raw); - +fn keypoints_bounce_5_up_down_variance2() -> Result<()> { + let chart_title = "keypoints_bounce_5_up_down_variance2"; + let in_file_name = "bounce_5_up_down_variance2.chan"; + let out_file_name = "keypoints_bounce_5_up_down_variance2.png"; let target_keypoints = 10; - let keypoints = analyze_curve(&x_values, &y_values, target_keypoints)?; - print_keypoints(&keypoints); - - let x_values_keypoint: Vec = - keypoints.iter().map(|x| x.time as Real).collect(); - let y_values_keypoint: Vec = - keypoints.iter().map(|x| x.value as Real).collect(); - let xy_values_keypoint: Vec<(Real, Real)> = keypoints - .iter() - .map(|x| (x.time as Real, x.value as Real)) - .collect(); - - let points = nonlinear_line_n_points_with_initial( - &x_values, - &y_values, - &x_values_keypoint, - &y_values_keypoint, - )?; - print_points(&points); - - save_chart_linear_n_points_regression( - &data_raw, - &xy_values_keypoint, - &points, - chart_title, - &out_file_path.as_os_str(), - chart_resolution, - )?; - - assert_eq!(points.len(), x_values_keypoint.len()); + keypoints_common(chart_title, in_file_name, out_file_name, target_keypoints) +} - Ok(()) +#[test] +fn keypoints_bounce_5_up_down_pop2() -> Result<()> { + let chart_title = "keypoints_bounce_5_up_down_pop2"; + let in_file_name = "bounce_5_up_down_pop2.chan"; + let out_file_name = "keypoints_bounce_5_up_down_pop2.png"; + let target_keypoints = 10; + keypoints_common(chart_title, in_file_name, out_file_name, target_keypoints) } diff --git a/lib/rust/mmscenegraph/tests/curve_detect_pops.rs b/lib/rust/mmscenegraph/tests/curve_detect_pops.rs index 65534f2a..26baee94 100644 --- a/lib/rust/mmscenegraph/tests/curve_detect_pops.rs +++ b/lib/rust/mmscenegraph/tests/curve_detect_pops.rs @@ -26,6 +26,7 @@ mod common; use anyhow::Result; use approx::assert_relative_eq; +use std::ffi::OsString; use crate::common::chan_data_filter_only_x; use crate::common::chan_data_filter_only_y; @@ -40,20 +41,23 @@ use crate::common::save_chart_linear_n_points_regression_pop; use crate::common::save_chart_linear_regression_pop; use crate::common::CHART_RESOLUTION; +use mmscenegraph_rust::constant::Real; use mmscenegraph_rust::curve::detect::pops::detect_curve_pops; use mmscenegraph_rust::curve::detect::pops::filter_curve_pops; use mmscenegraph_rust::curve::detect::pops::PopPoint; use mmscenegraph_rust::curve::resample::resample_uniform_xy; -use mmscenegraph_rust::curve::resample::Interpolation; use mmscenegraph_rust::math::curve_fit::linear_regression; use mmscenegraph_rust::math::curve_fit::nonlinear_line_n3; use mmscenegraph_rust::math::curve_fit::nonlinear_line_n_points; +use mmscenegraph_rust::math::curve_fit::AngleRadian; +use mmscenegraph_rust::math::curve_fit::Point2; +use mmscenegraph_rust::math::interpolate::InterpolationMethod; fn compare_detected_vs_actual_pops( - actual_pop_times: &[f64], + actual_pop_times: &[Real], pops: &[PopPoint], ) -> usize { - let pop_times: Vec = pops.iter().map(|x| x.time).collect(); + let pop_times: Vec = pops.iter().map(|x| x.time).collect(); let mut not_found_count = 0; for actual_pop_time in actual_pop_times { @@ -68,18 +72,28 @@ fn compare_detected_vs_actual_pops( not_found_count } -#[test] -fn identity_pop1() -> Result<()> { - let chart_title = "identity_pop1"; - let chart_resolution = CHART_RESOLUTION; - +fn pops_common( + chart_title: &str, + in_pop_file_name: &str, + in_raw_file_name: &str, + out_file_name: &str, + threshold: Real, + resample_start: Real, + resample_end: Real, + resample_by: Real, +) -> Result<( + OsString, + Vec, + Vec, + Vec<(Real, Real)>, + Vec<(Real, Real)>, + Vec<(Real, Real)>, +)> { let data_dir = find_data_dir()?; let in_file_path_pop = - construct_input_file_path(&data_dir, "identity_pop1.chan")?; - let in_file_path = - construct_input_file_path(&data_dir, "identity_raw.chan")?; - let out_file_path = - construct_output_file_path(&data_dir, "identity_pop1.png")?; + construct_input_file_path(&data_dir, in_pop_file_name)?; + let in_file_path = construct_input_file_path(&data_dir, in_raw_file_name)?; + let out_file_path = construct_output_file_path(&data_dir, out_file_name)?; let data_pop = read_chan_file(&in_file_path_pop.as_os_str())?; let data_raw = read_chan_file(&in_file_path.as_os_str())?; @@ -91,16 +105,12 @@ fn identity_pop1() -> Result<()> { let actual_pops = print_actual_pops(&x_values, &y_values, &y_values_raw, 1.0e-9); - let threshold = 0.8; let pops = detect_curve_pops(&x_values, &y_values, threshold)?; for pop in &pops { println!("pop: {pop:?}"); } - let resample_start = 1001.0; - let resample_end = 1101.0; - let resample_by = 1.0; - let interpolation = Interpolation::Linear; + let interpolation = InterpolationMethod::Linear; let data_filtered = filter_curve_pops(&x_values, &y_values, threshold)?; let data_filtered = resample_uniform_xy( &data_filtered, @@ -109,13 +119,46 @@ fn identity_pop1() -> Result<()> { resample_by, interpolation, )?; + + Ok(( + out_file_path.into(), + actual_pops, + pops, + data_raw, + data_pop, + data_filtered, + )) +} + +fn pops_common_linear_regression( + chart_title: &str, + in_pop_file_name: &str, + in_raw_file_name: &str, + out_file_name: &str, + threshold: Real, + resample_start: Real, + resample_end: Real, + resample_by: Real, +) -> Result<(Vec, Vec, Point2, AngleRadian)> { + let (out_file_path, actual_pops, pops, data_raw, data_pop, data_filtered) = + pops_common( + chart_title, + in_pop_file_name, + in_raw_file_name, + out_file_name, + threshold, + resample_start, + resample_end, + resample_by, + )?; + let x_values_filtered = chan_data_filter_only_x(&data_filtered); let y_values_filtered = chan_data_filter_only_y(&data_filtered); - let (point, slope) = linear_regression(&x_values_filtered, &y_values_filtered)?; println!("point={point:?} slope={slope:?}"); + let chart_resolution = CHART_RESOLUTION; save_chart_linear_regression_pop( &data_raw, &data_pop, @@ -123,84 +166,165 @@ fn identity_pop1() -> Result<()> { point, slope, chart_title, - &out_file_path.as_os_str(), + &out_file_path, chart_resolution, )?; + assert_eq!(data_filtered.len(), data_raw.len()); assert!(pops.len() >= actual_pops.len()); - let not_found_count = compare_detected_vs_actual_pops(&actual_pops, &pops); - assert_eq!(not_found_count, 1); - assert!(pops.len() < 13); - - assert_relative_eq!(point.x(), 1051.0, epsilon = 1.0e-9); - assert_relative_eq!(point.y(), 0.0, epsilon = 1.0e-5); - assert_relative_eq!(slope.as_degrees(), 0.0, epsilon = 1.0e-3); - Ok(()) + Ok((actual_pops, pops, point, slope)) } -#[test] -fn identity_pop2() -> Result<()> { - let chart_title = "identity_pop2"; +fn pops_common_line_n3( + chart_title: &str, + in_pop_file_name: &str, + in_raw_file_name: &str, + out_file_name: &str, + threshold: Real, + resample_start: Real, + resample_end: Real, + resample_by: Real, +) -> Result<(Vec, Vec, Point2, Point2, Point2)> { + let (out_file_path, actual_pops, pops, data_raw, data_pop, data_filtered) = + pops_common( + chart_title, + in_pop_file_name, + in_raw_file_name, + out_file_name, + threshold, + resample_start, + resample_end, + resample_by, + )?; + + let x_values_filtered = chan_data_filter_only_x(&data_filtered); + let y_values_filtered = chan_data_filter_only_y(&data_filtered); + let (point_a, point_b, point_c) = + nonlinear_line_n3(&x_values_filtered, &y_values_filtered)?; + println!("point_a={point_a:?}"); + println!("point_b={point_b:?}"); + println!("point_c={point_c:?}"); + let chart_resolution = CHART_RESOLUTION; + save_chart_linear_n3_regression_pop( + &data_raw, + &data_pop, + &data_filtered, + point_a, + point_b, + point_c, + chart_title, + &out_file_path.as_os_str(), + chart_resolution, + )?; - let data_dir = find_data_dir()?; - let in_file_path_pop = - construct_input_file_path(&data_dir, "identity_pop2.chan")?; - let in_file_path = - construct_input_file_path(&data_dir, "identity_raw.chan")?; - let out_file_path = - construct_output_file_path(&data_dir, "identity_pop2.png")?; + Ok((actual_pops, pops, point_a, point_b, point_c)) +} - let data_pop = read_chan_file(&in_file_path_pop.as_os_str())?; - let data_raw = read_chan_file(&in_file_path.as_os_str())?; - // print_chan_data(&data); - let x_values = chan_data_filter_only_x(&data_pop); - let y_values = chan_data_filter_only_y(&data_pop); - let y_values_raw = chan_data_filter_only_y(&data_raw); +fn pops_common_line_n_points( + chart_title: &str, + in_pop_file_name: &str, + in_raw_file_name: &str, + out_file_name: &str, + threshold: Real, + resample_start: Real, + resample_end: Real, + resample_by: Real, + n_points: usize, + interpolation_method: InterpolationMethod, +) -> Result<(Vec, Vec, Vec)> { + let (out_file_path, actual_pops, pops, data_raw, data_pop, data_filtered) = + pops_common( + chart_title, + in_pop_file_name, + in_raw_file_name, + out_file_name, + threshold, + resample_start, + resample_end, + resample_by, + )?; - let actual_pops = - print_actual_pops(&x_values, &y_values, &y_values_raw, 1.0e-9); + let x_values_filtered = chan_data_filter_only_x(&data_filtered); + let y_values_filtered = chan_data_filter_only_y(&data_filtered); + let points = nonlinear_line_n_points( + &x_values_filtered, + &y_values_filtered, + n_points, + interpolation_method, + )?; + println!("points={points:?}"); - let threshold = 0.5; - let pops = detect_curve_pops(&x_values, &y_values, threshold)?; - for pop in &pops { - println!("pop: {pop:?}"); - } + let chart_resolution = CHART_RESOLUTION; + save_chart_linear_n_points_regression_pop( + &data_raw, + &data_pop, + &data_filtered, + &points, + chart_title, + &out_file_path.as_os_str(), + chart_resolution, + )?; + + Ok((actual_pops, pops, points)) +} +#[test] +fn pops_identity_pop1() -> Result<()> { + let chart_title = "pops_identity_pop1"; + let in_pop_file_name = "identity_pop1.chan"; + let in_raw_file_name = "identity_raw.chan"; + let out_file_name = "pops_identity_pop1.png"; + let threshold = 0.8; let resample_start = 1001.0; let resample_end = 1101.0; let resample_by = 1.0; - let interpolation = Interpolation::Linear; - let data_filtered = filter_curve_pops(&x_values, &y_values, threshold)?; - let data_filtered = resample_uniform_xy( - &data_filtered, + + let (actual_pops, pops, point, slope) = pops_common_linear_regression( + chart_title, + in_pop_file_name, + in_raw_file_name, + out_file_name, + threshold, resample_start, resample_end, resample_by, - interpolation, )?; - let x_values_filtered = chan_data_filter_only_x(&data_filtered); - let y_values_filtered = chan_data_filter_only_y(&data_filtered); - let (point, slope) = - linear_regression(&x_values_filtered, &y_values_filtered)?; - println!("point={point:?} slope={slope:?}"); + let not_found_count = compare_detected_vs_actual_pops(&actual_pops, &pops); + assert_eq!(not_found_count, 1); + assert!(pops.len() < 13); - save_chart_linear_regression_pop( - &data_raw, - &data_pop, - &data_filtered, - point, - slope, + assert_relative_eq!(point.x(), 1051.0, epsilon = 1.0e-9); + assert_relative_eq!(point.y(), 0.0, epsilon = 1.0e-5); + assert_relative_eq!(slope.as_degrees(), 0.0, epsilon = 1.0e-3); + + Ok(()) +} + +#[test] +fn pops_identity_pop2() -> Result<()> { + let chart_title = "pops_identity_pop2"; + let in_pop_file_name = "identity_pop2.chan"; + let in_raw_file_name = "identity_raw.chan"; + let out_file_name = "pops_identity_pop2.png"; + let threshold = 0.5; + let resample_start = 1001.0; + let resample_end = 1101.0; + let resample_by = 1.0; + + let (actual_pops, pops, point, slope) = pops_common_linear_regression( chart_title, - &out_file_path.as_os_str(), - chart_resolution, + in_pop_file_name, + in_raw_file_name, + out_file_name, + threshold, + resample_start, + resample_end, + resample_by, )?; - assert_eq!(data_filtered.len(), data_raw.len()); - - assert!(pops.len() >= actual_pops.len()); let not_found_count = compare_detected_vs_actual_pops(&actual_pops, &pops); assert_eq!(not_found_count, 3); assert!(pops.len() < 19); @@ -213,68 +337,27 @@ fn identity_pop2() -> Result<()> { } #[test] -fn linear_3_point_pop3() -> Result<()> { - let chart_title = "linear_3_point_pop3"; - let chart_resolution = CHART_RESOLUTION; - - let data_dir = find_data_dir()?; - let in_file_path_pop = - construct_input_file_path(&data_dir, "linear_3_point_pop3.chan")?; - let in_file_path = - construct_input_file_path(&data_dir, "linear_3_point_raw.chan")?; - let out_file_path = - construct_output_file_path(&data_dir, "linear_3_point_pop3.png")?; - - let data_pop = read_chan_file(&in_file_path_pop.as_os_str())?; - let data_raw = read_chan_file(&in_file_path.as_os_str())?; - // print_chan_data(&data); - let x_values = chan_data_filter_only_x(&data_pop); - let y_values = chan_data_filter_only_y(&data_pop); - let y_values_raw = chan_data_filter_only_y(&data_raw); - - let actual_pops = - print_actual_pops(&x_values, &y_values, &y_values_raw, 1.0e-9); - +fn pops_linear_3_point_pop3() -> Result<()> { + let chart_title = "pops_linear_3_point_pop3"; + let in_pop_file_name = "linear_3_point_pop3.chan"; + let in_raw_file_name = "linear_3_point_raw.chan"; + let out_file_name = "pops_linear_3_point_pop3.png"; let threshold = 1.0; - let pops = detect_curve_pops(&x_values, &y_values, threshold)?; - for pop in &pops { - println!("pop: {pop:?}"); - } - let resample_start = 1001.0; let resample_end = 1101.0; let resample_by = 1.0; - let interpolation = Interpolation::Linear; - let data_filtered = filter_curve_pops(&x_values, &y_values, threshold)?; - let data_filtered = resample_uniform_xy( - &data_filtered, + + let (actual_pops, pops, point_a, point_b, point_c) = pops_common_line_n3( + chart_title, + in_pop_file_name, + in_raw_file_name, + out_file_name, + threshold, resample_start, resample_end, resample_by, - interpolation, )?; - let x_values_filtered = chan_data_filter_only_x(&data_filtered); - let y_values_filtered = chan_data_filter_only_y(&data_filtered); - - let (point_a, point_b, point_c) = - nonlinear_line_n3(&x_values_filtered, &y_values_filtered)?; - println!("point_a={point_a:?}"); - println!("point_b={point_b:?}"); - println!("point_c={point_c:?}"); - save_chart_linear_n3_regression_pop( - &data_raw, - &data_pop, - &data_filtered, - point_a, - point_b, - point_c, - chart_title, - &out_file_path.as_os_str(), - chart_resolution, - )?; - - assert!(pops.len() >= actual_pops.len()); let not_found_count = compare_detected_vs_actual_pops(&actual_pops, &pops); assert_eq!(not_found_count, 2); assert!(pops.len() < 19); @@ -292,65 +375,27 @@ fn linear_3_point_pop3() -> Result<()> { } #[test] -fn degree_45_up_pop3() -> Result<()> { - let chart_title = "degree_45_up_pop3"; - let chart_resolution = CHART_RESOLUTION; - - let data_dir = find_data_dir()?; - let in_file_path_pop = - construct_input_file_path(&data_dir, "degree_45_up_pop3.chan")?; - let in_file_path = - construct_input_file_path(&data_dir, "degree_45_up_raw.chan")?; - let out_file_path = - construct_output_file_path(&data_dir, "degree_45_up_pop3.png")?; - - let data_pop = read_chan_file(&in_file_path_pop.as_os_str())?; - let data_raw = read_chan_file(&in_file_path.as_os_str())?; - // print_chan_data(&data); - let x_values = chan_data_filter_only_x(&data_pop); - let y_values = chan_data_filter_only_y(&data_pop); - let y_values_raw = chan_data_filter_only_y(&data_raw); - - let actual_pops = - print_actual_pops(&x_values, &y_values, &y_values_raw, 1.0e-9); - +fn pops_degree_45_up_pop3() -> Result<()> { + let chart_title = "pops_degree_45_up_pop3"; + let in_pop_file_name = "degree_45_up_pop3.chan"; + let in_raw_file_name = "degree_45_up_raw.chan"; + let out_file_name = "pops_degree_45_up_pop3.png"; let threshold = 0.75; - let pops = detect_curve_pops(&x_values, &y_values, threshold)?; - for pop in &pops { - println!("pop: {pop:?}"); - } - let resample_start = 1001.0; let resample_end = 1101.0; let resample_by = 1.0; - let interpolation = Interpolation::Linear; - let data_filtered = filter_curve_pops(&x_values, &y_values, threshold)?; - let data_filtered = resample_uniform_xy( - &data_filtered, + + let (actual_pops, pops, point, slope) = pops_common_linear_regression( + chart_title, + in_pop_file_name, + in_raw_file_name, + out_file_name, + threshold, resample_start, resample_end, resample_by, - interpolation, )?; - let x_values_filtered = chan_data_filter_only_x(&data_filtered); - let y_values_filtered = chan_data_filter_only_y(&data_filtered); - - let (point, slope) = - linear_regression(&x_values_filtered, &y_values_filtered)?; - println!("point={point:?} slope={slope:?}"); - save_chart_linear_regression_pop( - &data_raw, - &data_pop, - &data_filtered, - point, - slope, - chart_title, - &out_file_path.as_os_str(), - chart_resolution, - )?; - - assert!(pops.len() >= actual_pops.len()); let not_found_count = compare_detected_vs_actual_pops(&actual_pops, &pops); assert_eq!(not_found_count, 1); assert!(pops.len() < 23); @@ -363,61 +408,29 @@ fn degree_45_up_pop3() -> Result<()> { } #[test] -fn bounce_5_up_down_pop3() -> Result<()> { - let chart_title = "bounce_5_up_down_pop3"; - let chart_resolution = CHART_RESOLUTION; - - let data_dir = find_data_dir()?; - let in_file_path_pop = - construct_input_file_path(&data_dir, "bounce_5_up_down_pop3.chan")?; - let in_file_path = - construct_input_file_path(&data_dir, "bounce_5_up_down_raw.chan")?; - let out_file_path = - construct_output_file_path(&data_dir, "bounce_5_up_down_pop3.png")?; - - let data_pop = read_chan_file(&in_file_path_pop.as_os_str())?; - let data_raw = read_chan_file(&in_file_path.as_os_str())?; - // print_chan_data(&data); - let x_values = chan_data_filter_only_x(&data_pop); - let y_values = chan_data_filter_only_y(&data_pop); - let y_values_raw = chan_data_filter_only_y(&data_raw); - - let actual_pops = - print_actual_pops(&x_values, &y_values, &y_values_raw, 1.0e-9); - +fn pops_bounce_5_up_down_pop3() -> Result<()> { + let chart_title = "pops_bounce_5_up_down_pop3"; + let in_pop_file_name = "bounce_5_up_down_pop3.chan"; + let in_raw_file_name = "bounce_5_up_down_raw.chan"; + let out_file_name = "pops_bounce_5_up_down_pop3.png"; let threshold = 1.0; - let pops = detect_curve_pops(&x_values, &y_values, threshold)?; - for pop in &pops { - println!("pop: {pop:?}"); - } - let resample_start = 1001.0; let resample_end = 1101.0; let resample_by = 1.0; - let interpolation = Interpolation::Linear; - let data_filtered = filter_curve_pops(&x_values, &y_values, threshold)?; - let data_filtered = resample_uniform_xy( - &data_filtered, + let n_points = 5; + let interpolation_method = InterpolationMethod::CubicNUBS; + + let (actual_pops, pops, points) = pops_common_line_n_points( + chart_title, + in_pop_file_name, + in_raw_file_name, + out_file_name, + threshold, resample_start, resample_end, resample_by, - interpolation, - )?; - let x_values_filtered = chan_data_filter_only_x(&data_filtered); - let y_values_filtered = chan_data_filter_only_y(&data_filtered); - - let points = - nonlinear_line_n_points(&x_values_filtered, &y_values_filtered, 5)?; - println!("points={points:?}"); - - save_chart_linear_n_points_regression_pop( - &data_raw, - &data_pop, - &data_filtered, - &points, - chart_title, - &out_file_path.as_os_str(), - chart_resolution, + n_points, + interpolation_method, )?; let point_a = points[0]; @@ -431,25 +444,24 @@ fn bounce_5_up_down_pop3() -> Result<()> { println!("point_d={point_d:?}"); println!("point_e={point_e:?}"); - assert!(pops.len() >= actual_pops.len()); let not_found_count = compare_detected_vs_actual_pops(&actual_pops, &pops); assert_eq!(not_found_count, 0); assert!(pops.len() < 14); assert_relative_eq!(point_a.x(), 1001.0, epsilon = 1.0e-9); - assert_relative_eq!(point_a.y(), -0.9991233334405204, epsilon = 1.0e-9); + assert_relative_eq!(point_a.y(), -2.0439280344879265, epsilon = 1.0e-9); assert_relative_eq!(point_b.x(), 1026.0, epsilon = 1.0e-9); - assert_relative_eq!(point_b.y(), 2.980541438171237, epsilon = 1.0e-9); + assert_relative_eq!(point_b.y(), 5.442782586088859, epsilon = 1.0e-9); assert_relative_eq!(point_c.x(), 1051.0, epsilon = 1.0e-1); - assert_relative_eq!(point_c.y(), -1.5748364057699915, epsilon = 1.0e-9); + assert_relative_eq!(point_c.y(), -4.322908639680146, epsilon = 1.0e-9); assert_relative_eq!(point_d.x(), 1076.0, epsilon = 1.0e-9); - assert_relative_eq!(point_d.y(), 3.174091329778726, epsilon = 1.0e-9); + assert_relative_eq!(point_d.y(), 5.850924226414753, epsilon = 1.0e-9); assert_relative_eq!(point_e.x(), 1101.0, epsilon = 1.0e-9); - assert_relative_eq!(point_e.y(), -2.959335179739824, epsilon = 1.0e-9); + assert_relative_eq!(point_e.y(), -4.009521216807484, epsilon = 1.0e-9); Ok(()) } diff --git a/lib/rust/mmscenegraph/tests/curve_infill.rs b/lib/rust/mmscenegraph/tests/curve_infill.rs index a1f6badd..31e5692c 100644 --- a/lib/rust/mmscenegraph/tests/curve_infill.rs +++ b/lib/rust/mmscenegraph/tests/curve_infill.rs @@ -48,7 +48,7 @@ use crate::common::CHART_RESOLUTION; use mmscenegraph_rust::constant::Real; use mmscenegraph_rust::curve::infill::infill_curve; use mmscenegraph_rust::curve::resample::resample_uniform_xy; -use mmscenegraph_rust::curve::resample::Interpolation; +use mmscenegraph_rust::math::interpolate::InterpolationMethod; fn infill_resample_common( chart_title: &str, @@ -73,7 +73,7 @@ fn infill_resample_common( resample_start, resample_end, resample_by, - Interpolation::Linear, + InterpolationMethod::Linear, )?; assert!(data_filtered.len() < data_raw.len()); let x_values_filtered = chan_data_filter_only_x(&data_filtered); @@ -96,9 +96,9 @@ fn infill_resample_common( #[test] fn bounce_5_up_down_infill_2() -> Result<()> { - let chart_title = "bounce_5_up_down_infill_resample2"; + let chart_title = "infill_resample2_bounce_5_up_down"; let in_file_name = "bounce_5_up_down_raw.chan"; - let out_file_name = "bounce_5_up_down_infill_resample2.png"; + let out_file_name = "infill_resample2_bounce_5_up_down.png"; let resample_by = 2.0; infill_resample_common( @@ -111,9 +111,9 @@ fn bounce_5_up_down_infill_2() -> Result<()> { #[test] fn bounce_5_up_down_infill_5() -> Result<()> { - let chart_title = "bounce_5_up_down_infill_resample5"; + let chart_title = "infill_resample5_bounce_5_up_down"; let in_file_name = "bounce_5_up_down_raw.chan"; - let out_file_name = "bounce_5_up_down_infill_resample5.png"; + let out_file_name = "infill_resample5_bounce_5_up_down.png"; let resample_by = 5.0; infill_resample_common( @@ -126,9 +126,9 @@ fn bounce_5_up_down_infill_5() -> Result<()> { #[test] fn bounce_5_up_down_infill_10() -> Result<()> { - let chart_title = "bounce_5_up_down_infill_resample10"; + let chart_title = "infill_resample10_bounce_5_up_down"; let in_file_name = "bounce_5_up_down_raw.chan"; - let out_file_name = "bounce_5_up_down_infill_resample10.png"; + let out_file_name = "infill_resample10_bounce_5_up_down.png"; let resample_by = 10.0; infill_resample_common( @@ -141,9 +141,9 @@ fn bounce_5_up_down_infill_10() -> Result<()> { #[test] fn bounce_5_up_down_infill_20() -> Result<()> { - let chart_title = "bounce_5_up_down_infill_resample20"; + let chart_title = "infill_resample20_bounce_5_up_down"; let in_file_name = "bounce_5_up_down_raw.chan"; - let out_file_name = "bounce_5_up_down_infill_resample20.png"; + let out_file_name = "infill_resample20_bounce_5_up_down.png"; let resample_by = 20.0; infill_resample_common( @@ -209,9 +209,9 @@ fn infill_gap_common( #[test] fn bounce_5_up_down_infill_gap1() -> Result<()> { - let chart_title = "bounce_5_up_down_infill_gap1"; + let chart_title = "infill_gap1_bounce_5_up_down"; let in_file_name = "bounce_5_up_down_raw.chan"; - let out_file_name = "bounce_5_up_down_infill_gap1.png"; + let out_file_name = "infill_gap1_bounce_5_up_down.png"; let gaps: &[(Real, Real)] = &[ (1003.0, 1011.0), (1012.0, 1024.0), @@ -225,9 +225,9 @@ fn bounce_5_up_down_infill_gap1() -> Result<()> { #[test] fn bounce_5_up_down_infill_gap2() -> Result<()> { - let chart_title = "bounce_5_up_down_infill_gap2"; + let chart_title = "infill_gap2_bounce_5_up_down"; let in_file_name = "bounce_5_up_down_raw.chan"; - let out_file_name = "bounce_5_up_down_infill_gap2.png"; + let out_file_name = "infill_gap2_bounce_5_up_down.png"; let gaps: &[(Real, Real)] = &[ (1003.0, 1023.0), (1027.0, 1048.0), diff --git a/lib/rust/mmscenegraph/tests/curve_pyramid.rs b/lib/rust/mmscenegraph/tests/curve_pyramid.rs new file mode 100644 index 00000000..82e359a4 --- /dev/null +++ b/lib/rust/mmscenegraph/tests/curve_pyramid.rs @@ -0,0 +1,161 @@ +// +// Copyright (C) 2024 David Cattermole. +// +// This file is part of mmSolver. +// +// mmSolver is free software: you can redistribute it and/or modify it +// under the terms of the GNU Lesser General Public License as +// published by the Free Software Foundation, either version 3 of the +// License, or (at your option) any later version. +// +// mmSolver is distributed in the hope that it will be useful, +// but WITHOUT ANY WARRANTY; without even the implied warranty of +// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the +// GNU Lesser General Public License for more details. +// +// You should have received a copy of the GNU Lesser General Public License +// along with mmSolver. If not, see . +// ==================================================================== +// + +#![allow(unused_imports)] +#![allow(unused_variables)] +#![allow(dead_code)] + +mod common; + +use anyhow::Result; +use approx::assert_relative_eq; + +use crate::common::chan_data_combine_xy; +use crate::common::chan_data_filter_only_x; +use crate::common::chan_data_filter_only_y; +use crate::common::construct_input_file_path; +use crate::common::construct_output_file_path; +use crate::common::find_data_dir; +// use crate::common::print_chan_data; +use crate::common::print_curvature_arrays; +use crate::common::read_chan_file; +use crate::common::save_chart_curvature_curves; +use crate::common::save_chart_curves_compare_many; +use crate::common::CHART_RESOLUTION; + +use mmscenegraph_rust::curve::pyramid::build_pyramid_levels; +use mmscenegraph_rust::curve::pyramid::compute_pyramid_depth; + +fn curve_pyramid_common( + chart_title: &str, + in_file_name: &str, + out_file_name: &str, +) -> Result<()> { + let chart_resolution = CHART_RESOLUTION; + + let data_dir = find_data_dir()?; + let in_file_path = construct_input_file_path(&data_dir, in_file_name)?; + let out_file_path = construct_output_file_path(&data_dir, out_file_name)?; + + let data = read_chan_file(&in_file_path.as_os_str())?; + // print_chan_data(&data); + let x_values = chan_data_filter_only_x(&data); + let y_values = chan_data_filter_only_y(&data); + + let pyramid_depth = compute_pyramid_depth(x_values.len()); + let pyramid_levels = + build_pyramid_levels(&x_values, &y_values, pyramid_depth)?; + + let mut xy_levels_values = Vec::new(); + for pyramid_level in pyramid_levels { + let times = pyramid_level.times; + let values = pyramid_level.values; + let xy_level_values: Vec<(f64, f64)> = + times.iter().zip(values).map(|(x, y)| (*x, y)).collect(); + + xy_levels_values.push(xy_level_values); + } + + let mut data_curves = Vec::new(); + for xy_level_values in xy_levels_values { + data_curves.push(xy_level_values); + } + + save_chart_curves_compare_many( + &data_curves, + chart_title, + out_file_path.as_os_str(), + chart_resolution, + )?; + + Ok(()) +} + +#[test] +fn curve_pyramid_bounce_5_up_down_raw() -> Result<()> { + let chart_title = "pyramid_bounce_5_up_down_raw"; + let in_file_name = "bounce_5_up_down_raw.chan"; + let out_file_name = "pyramid_bounce_5_up_down_raw.png"; + curve_pyramid_common(chart_title, in_file_name, out_file_name) +} + +#[test] +fn curve_pyramid_bounce_5_up_down_variance1() -> Result<()> { + let chart_title = "pyramid_bounce_5_up_down_variance1"; + let in_file_name = "bounce_5_up_down_variance1.chan"; + let out_file_name = "pyramid_bounce_5_up_down_variance1.png"; + curve_pyramid_common(chart_title, in_file_name, out_file_name) +} + +#[test] +fn curve_pyramid_bounce_5_up_down_variance2() -> Result<()> { + let chart_title = "pyramid_bounce_5_up_down_variance2"; + let in_file_name = "bounce_5_up_down_variance2.chan"; + let out_file_name = "pyramid_bounce_5_up_down_variance2.png"; + curve_pyramid_common(chart_title, in_file_name, out_file_name) +} + +#[test] +fn curve_pyramid_bounce_5_up_down_variance3() -> Result<()> { + let chart_title = "pyramid_bounce_5_up_down_variance3"; + let in_file_name = "bounce_5_up_down_variance3.chan"; + let out_file_name = "pyramid_bounce_5_up_down_variance3.png"; + curve_pyramid_common(chart_title, in_file_name, out_file_name) +} + +#[test] +fn curve_pyramid_bounce_5_up_down_variance4() -> Result<()> { + let chart_title = "pyramid_bounce_5_up_down_variance4"; + let in_file_name = "bounce_5_up_down_variance4.chan"; + let out_file_name = "pyramid_bounce_5_up_down_variance4.png"; + curve_pyramid_common(chart_title, in_file_name, out_file_name) +} + +#[test] +fn curve_pyramid_bounce_5_up_down_pop1() -> Result<()> { + let chart_title = "pyramid_bounce_5_up_down_pop1"; + let in_file_name = "bounce_5_up_down_pop1.chan"; + let out_file_name = "pyramid_bounce_5_up_down_pop1.png"; + curve_pyramid_common(chart_title, in_file_name, out_file_name) +} + +#[test] +fn curve_pyramid_bounce_5_up_down_pop2() -> Result<()> { + let chart_title = "pyramid_bounce_5_up_down_pop2"; + let in_file_name = "bounce_5_up_down_pop2.chan"; + let out_file_name = "pyramid_bounce_5_up_down_pop2.png"; + curve_pyramid_common(chart_title, in_file_name, out_file_name) +} + +#[test] +fn curve_pyramid_bounce_5_up_down_pop3() -> Result<()> { + let chart_title = "pyramid_bounce_5_up_down_pop3"; + let in_file_name = "bounce_5_up_down_pop3.chan"; + let out_file_name = "pyramid_bounce_5_up_down_pop3.png"; + curve_pyramid_common(chart_title, in_file_name, out_file_name) +} + +#[test] +fn curve_pyramid_bounce_5_up_down_pop4() -> Result<()> { + let chart_title = "pyramid_bounce_5_up_down_pop4"; + let in_file_name = "bounce_5_up_down_pop4.chan"; + let out_file_name = "pyramid_bounce_5_up_down_pop4.png"; + curve_pyramid_common(chart_title, in_file_name, out_file_name) +} diff --git a/lib/rust/mmscenegraph/tests/curve_smooth_gaussian.rs b/lib/rust/mmscenegraph/tests/curve_smooth_gaussian.rs index 7ec9ae83..2a6c7ba0 100644 --- a/lib/rust/mmscenegraph/tests/curve_smooth_gaussian.rs +++ b/lib/rust/mmscenegraph/tests/curve_smooth_gaussian.rs @@ -37,6 +37,7 @@ use crate::common::read_chan_file; use crate::common::save_chart_curves_compare_two; use crate::common::CHART_RESOLUTION; +use mmscenegraph_rust::constant::Real; use mmscenegraph_rust::curve::smooth::gaussian::gaussian_smooth_2d; #[test] @@ -57,7 +58,7 @@ fn curve_smooth_gaussian1() -> Result<()> { let y_values = chan_data_filter_only_y(&data); let smoothing_width = 1.0; - let mut y_values_smoothed: Vec = vec![0.0; y_values.len()]; + let mut y_values_smoothed: Vec = vec![0.0; y_values.len()]; gaussian_smooth_2d( &x_values, &y_values, @@ -101,7 +102,7 @@ fn curve_smooth_gaussian2() -> Result<()> { let y_values = chan_data_filter_only_y(&data); let smoothing_width = 2.0; - let mut y_values_smoothed: Vec = vec![0.0; y_values.len()]; + let mut y_values_smoothed: Vec = vec![0.0; y_values.len()]; gaussian_smooth_2d( &x_values, &y_values, @@ -142,7 +143,7 @@ fn curve_smooth_gaussian5() -> Result<()> { let y_values = chan_data_filter_only_y(&data); let smoothing_width = 5.0; - let mut y_values_smoothed: Vec = vec![0.0; y_values.len()]; + let mut y_values_smoothed: Vec = vec![0.0; y_values.len()]; gaussian_smooth_2d( &x_values, &y_values, @@ -183,7 +184,7 @@ fn curve_smooth_gaussian10() -> Result<()> { let y_values = chan_data_filter_only_y(&data); let smoothing_width = 10.0; - let mut y_values_smoothed: Vec = vec![0.0; y_values.len()]; + let mut y_values_smoothed: Vec = vec![0.0; y_values.len()]; gaussian_smooth_2d( &x_values, &y_values, @@ -224,7 +225,7 @@ fn curve_smooth_gaussian25() -> Result<()> { let y_values = chan_data_filter_only_y(&data); let smoothing_width = 25.0; - let mut y_values_smoothed: Vec = vec![0.0; y_values.len()]; + let mut y_values_smoothed: Vec = vec![0.0; y_values.len()]; gaussian_smooth_2d( &x_values, &y_values, @@ -265,7 +266,7 @@ fn curve_smooth_gaussian50() -> Result<()> { let y_values = chan_data_filter_only_y(&data); let smoothing_width = 50.0; - let mut y_values_smoothed: Vec = vec![0.0; y_values.len()]; + let mut y_values_smoothed: Vec = vec![0.0; y_values.len()]; gaussian_smooth_2d( &x_values, &y_values, @@ -306,7 +307,7 @@ fn curve_smooth_gaussian100() -> Result<()> { let y_values = chan_data_filter_only_y(&data); let smoothing_width = 100.0; - let mut y_values_smoothed: Vec = vec![0.0; y_values.len()]; + let mut y_values_smoothed: Vec = vec![0.0; y_values.len()]; gaussian_smooth_2d( &x_values, &y_values, diff --git a/lib/rust/mmscenegraph/tests/curvefit_degree_45.rs b/lib/rust/mmscenegraph/tests/curvefit_degree_45.rs index e1a3ca6a..5143aa7f 100644 --- a/lib/rust/mmscenegraph/tests/curvefit_degree_45.rs +++ b/lib/rust/mmscenegraph/tests/curvefit_degree_45.rs @@ -38,21 +38,24 @@ use crate::common::save_chart_linear_regression; use crate::common::CHART_RESOLUTION; use mmscenegraph_rust::math::curve_fit::linear_regression; - -#[test] -fn degree_45_up_raw() -> Result<()> { - let chart_title = "degree_45_up_raw"; +use mmscenegraph_rust::math::curve_fit::AngleRadian; +use mmscenegraph_rust::math::curve_fit::Point2; + +fn curvefit_common( + chart_title: &str, + in_reference_file_name: &str, + in_file_name: &str, + out_file_name: &str, +) -> Result<(Point2, AngleRadian)> { let chart_resolution = CHART_RESOLUTION; let data_dir = find_data_dir()?; - let in_file_path_raw = - construct_input_file_path(&data_dir, "degree_45_up_raw.chan")?; - let in_file_path = - construct_input_file_path(&data_dir, "degree_45_up_raw.chan")?; - let out_file_path = - construct_output_file_path(&data_dir, "degree_45_up_raw.png")?; - - let data_raw = read_chan_file(&in_file_path_raw.as_os_str())?; + let in_reference_file_path = + construct_input_file_path(&data_dir, in_reference_file_name)?; + let in_file_path = construct_input_file_path(&data_dir, in_file_name)?; + let out_file_path = construct_output_file_path(&data_dir, out_file_name)?; + + let data_raw = read_chan_file(&in_reference_file_path.as_os_str())?; let data = read_chan_file(&in_file_path.as_os_str())?; // print_chan_data(&data); let x_values = chan_data_filter_only_x(&data); @@ -71,6 +74,23 @@ fn degree_45_up_raw() -> Result<()> { chart_resolution, )?; + Ok((point, slope)) +} + +#[test] +fn degree_45_up_raw() -> Result<()> { + let chart_title = "curvefit_degree_45_up_raw"; + let in_reference_file_name = "degree_45_up_raw.chan"; + let in_file_name = "degree_45_up_raw.chan"; + let out_file_name = "curvefit_degree_45_up_raw.png"; + + let (point, slope) = curvefit_common( + chart_title, + in_reference_file_name, + in_file_name, + out_file_name, + )?; + assert_relative_eq!(point.x(), 1051.0, epsilon = 1.0e-9); assert_relative_eq!(point.y(), 50.0, epsilon = 1.0e-9); assert_relative_eq!(slope.as_degrees(), 45.0, epsilon = 1.0e-9); @@ -80,34 +100,16 @@ fn degree_45_up_raw() -> Result<()> { #[test] fn degree_45_up_variance1() -> Result<()> { - let chart_title = "degree_45_up_variance1"; - let chart_resolution = CHART_RESOLUTION; - - let data_dir = find_data_dir()?; - let in_file_path_raw = - construct_input_file_path(&data_dir, "degree_45_up_raw.chan")?; - let in_file_path = - construct_input_file_path(&data_dir, "degree_45_up_variance1.chan")?; - let out_file_path = - construct_output_file_path(&data_dir, "degree_45_up_variance1.png")?; - - let data_raw = read_chan_file(&in_file_path_raw.as_os_str())?; - let data = read_chan_file(&in_file_path.as_os_str())?; - // print_chan_data(&data); - let x_values = chan_data_filter_only_x(&data); - let y_values = chan_data_filter_only_y(&data); - - let (point, slope) = linear_regression(&x_values, &y_values)?; - println!("point={point:?} slope={slope:?}"); + let chart_title = "curvefit_degree_45_up_variance1"; + let in_reference_file_name = "degree_45_up_raw.chan"; + let in_file_name = "degree_45_up_variance1.chan"; + let out_file_name = "curvefit_degree_45_up_variance1.png"; - save_chart_linear_regression( - &data_raw, - &data, - point, - slope, + let (point, slope) = curvefit_common( chart_title, - &out_file_path.as_os_str(), - chart_resolution, + in_reference_file_name, + in_file_name, + out_file_name, )?; assert_relative_eq!(point.x(), 1051.0, epsilon = 1.0e-3); @@ -119,34 +121,16 @@ fn degree_45_up_variance1() -> Result<()> { #[test] fn degree_45_up_variance2() -> Result<()> { - let chart_title = "degree_45_up_variance2"; - let chart_resolution = CHART_RESOLUTION; + let chart_title = "curvefit_degree_45_up_variance2"; + let in_reference_file_name = "degree_45_up_raw.chan"; + let in_file_name = "degree_45_up_variance2.chan"; + let out_file_name = "curvefit_degree_45_up_variance2.png"; - let data_dir = find_data_dir()?; - let in_file_path_raw = - construct_input_file_path(&data_dir, "degree_45_up_raw.chan")?; - let in_file_path = - construct_input_file_path(&data_dir, "degree_45_up_variance2.chan")?; - let out_file_path = - construct_output_file_path(&data_dir, "degree_45_up_variance2.png")?; - - let data_raw = read_chan_file(&in_file_path_raw.as_os_str())?; - let data = read_chan_file(&in_file_path.as_os_str())?; - // print_chan_data(&data); - let x_values = chan_data_filter_only_x(&data); - let y_values = chan_data_filter_only_y(&data); - - let (point, slope) = linear_regression(&x_values, &y_values)?; - println!("point={point:?} slope={slope:?}"); - - save_chart_linear_regression( - &data_raw, - &data, - point, - slope, + let (point, slope) = curvefit_common( chart_title, - &out_file_path.as_os_str(), - chart_resolution, + in_reference_file_name, + in_file_name, + out_file_name, )?; assert_relative_eq!(point.x(), 1051.0, epsilon = 1.0e-9); @@ -158,34 +142,16 @@ fn degree_45_up_variance2() -> Result<()> { #[test] fn degree_45_up_variance3() -> Result<()> { - let chart_title = "degree_45_up_variance3"; - let chart_resolution = CHART_RESOLUTION; - - let data_dir = find_data_dir()?; - let in_file_path_raw = - construct_input_file_path(&data_dir, "degree_45_up_raw.chan")?; - let in_file_path = - construct_input_file_path(&data_dir, "degree_45_up_variance3.chan")?; - let out_file_path = - construct_output_file_path(&data_dir, "degree_45_up_variance3.png")?; - - let data_raw = read_chan_file(&in_file_path_raw.as_os_str())?; - let data = read_chan_file(&in_file_path.as_os_str())?; - // print_chan_data(&data); - let x_values = chan_data_filter_only_x(&data); - let y_values = chan_data_filter_only_y(&data); + let chart_title = "curvefit_degree_45_up_variance3"; + let in_reference_file_name = "degree_45_up_raw.chan"; + let in_file_name = "degree_45_up_variance3.chan"; + let out_file_name = "curvefit_degree_45_up_variance3.png"; - let (point, slope) = linear_regression(&x_values, &y_values)?; - println!("point={point:?} slope={slope:?}"); - - save_chart_linear_regression( - &data_raw, - &data, - point, - slope, + let (point, slope) = curvefit_common( chart_title, - &out_file_path.as_os_str(), - chart_resolution, + in_reference_file_name, + in_file_name, + out_file_name, )?; assert_relative_eq!(point.x(), 1051.0, epsilon = 1.0e-9); @@ -197,34 +163,16 @@ fn degree_45_up_variance3() -> Result<()> { #[test] fn degree_45_up_variance4() -> Result<()> { - let chart_title = "degree_45_up_variance4"; - let chart_resolution = CHART_RESOLUTION; - - let data_dir = find_data_dir()?; - let in_file_path_raw = - construct_input_file_path(&data_dir, "degree_45_up_raw.chan")?; - let in_file_path = - construct_input_file_path(&data_dir, "degree_45_up_variance4.chan")?; - let out_file_path = - construct_output_file_path(&data_dir, "degree_45_up_variance4.png")?; - - let data_raw = read_chan_file(&in_file_path_raw.as_os_str())?; - let data = read_chan_file(&in_file_path.as_os_str())?; - // print_chan_data(&data); - let x_values = chan_data_filter_only_x(&data); - let y_values = chan_data_filter_only_y(&data); - - let (point, slope) = linear_regression(&x_values, &y_values)?; - println!("point={point:?} slope={slope:?}"); + let chart_title = "curvefit_degree_45_up_variance4"; + let in_reference_file_name = "degree_45_up_raw.chan"; + let in_file_name = "degree_45_up_variance4.chan"; + let out_file_name = "curvefit_degree_45_up_variance4.png"; - save_chart_linear_regression( - &data_raw, - &data, - point, - slope, + let (point, slope) = curvefit_common( chart_title, - &out_file_path.as_os_str(), - chart_resolution, + in_reference_file_name, + in_file_name, + out_file_name, )?; assert_relative_eq!(point.x(), 1051.0, epsilon = 1.0e-9); @@ -236,34 +184,16 @@ fn degree_45_up_variance4() -> Result<()> { #[test] fn degree_45_down_raw() -> Result<()> { - let chart_title = "degree_45_down_raw"; - let chart_resolution = CHART_RESOLUTION; + let chart_title = "curvefit_degree_45_down_raw"; + let in_reference_file_name = "degree_45_down_raw.chan"; + let in_file_name = "degree_45_down_raw.chan"; + let out_file_name = "curvefit_degree_45_down_raw.png"; - let data_dir = find_data_dir()?; - let in_file_path_raw = - construct_input_file_path(&data_dir, "degree_45_down_raw.chan")?; - let in_file_path = - construct_input_file_path(&data_dir, "degree_45_down_raw.chan")?; - let out_file_path = - construct_output_file_path(&data_dir, "degree_45_down_raw.png")?; - - let data_raw = read_chan_file(&in_file_path_raw.as_os_str())?; - let data = read_chan_file(&in_file_path.as_os_str())?; - // print_chan_data(&data); - let x_values = chan_data_filter_only_x(&data); - let y_values = chan_data_filter_only_y(&data); - - let (point, slope) = linear_regression(&x_values, &y_values)?; - println!("point={point:?} slope={slope:?}"); - - save_chart_linear_regression( - &data_raw, - &data, - point, - slope, + let (point, slope) = curvefit_common( chart_title, - &out_file_path.as_os_str(), - chart_resolution, + in_reference_file_name, + in_file_name, + out_file_name, )?; assert_relative_eq!(point.x(), 1051.0, epsilon = 1.0e-9); @@ -275,34 +205,16 @@ fn degree_45_down_raw() -> Result<()> { #[test] fn degree_45_down_variance1() -> Result<()> { - let chart_title = "degree_45_down_variance1"; - let chart_resolution = CHART_RESOLUTION; - - let data_dir = find_data_dir()?; - let in_file_path_raw = - construct_input_file_path(&data_dir, "degree_45_down_raw.chan")?; - let in_file_path = - construct_input_file_path(&data_dir, "degree_45_down_variance1.chan")?; - let out_file_path = - construct_output_file_path(&data_dir, "degree_45_down_variance1.png")?; - - let data_raw = read_chan_file(&in_file_path_raw.as_os_str())?; - let data = read_chan_file(&in_file_path.as_os_str())?; - // print_chan_data(&data); - let x_values = chan_data_filter_only_x(&data); - let y_values = chan_data_filter_only_y(&data); + let chart_title = "curvefit_degree_45_down_variance1"; + let in_reference_file_name = "degree_45_down_raw.chan"; + let in_file_name = "degree_45_down_variance1.chan"; + let out_file_name = "curvefit_degree_45_down_variance1.png"; - let (point, slope) = linear_regression(&x_values, &y_values)?; - println!("point={point:?} slope={slope:?}"); - - save_chart_linear_regression( - &data_raw, - &data, - point, - slope, + let (point, slope) = curvefit_common( chart_title, - &out_file_path.as_os_str(), - chart_resolution, + in_reference_file_name, + in_file_name, + out_file_name, )?; assert_relative_eq!(point.x(), 1051.0, epsilon = 1.0e-3); @@ -314,34 +226,16 @@ fn degree_45_down_variance1() -> Result<()> { #[test] fn degree_45_down_variance2() -> Result<()> { - let chart_title = "degree_45_down_variance2"; - let chart_resolution = CHART_RESOLUTION; - - let data_dir = find_data_dir()?; - let in_file_path_raw = - construct_input_file_path(&data_dir, "degree_45_down_raw.chan")?; - let in_file_path = - construct_input_file_path(&data_dir, "degree_45_down_variance2.chan")?; - let out_file_path = - construct_output_file_path(&data_dir, "degree_45_down_variance2.png")?; - - let data_raw = read_chan_file(&in_file_path_raw.as_os_str())?; - let data = read_chan_file(&in_file_path.as_os_str())?; - // print_chan_data(&data); - let x_values = chan_data_filter_only_x(&data); - let y_values = chan_data_filter_only_y(&data); - - let (point, slope) = linear_regression(&x_values, &y_values)?; - println!("point={point:?} slope={slope:?}"); + let chart_title = "curvefit_degree_45_down_variance2"; + let in_reference_file_name = "degree_45_down_raw.chan"; + let in_file_name = "degree_45_down_variance2.chan"; + let out_file_name = "curvefit_degree_45_down_variance2.png"; - save_chart_linear_regression( - &data_raw, - &data, - point, - slope, + let (point, slope) = curvefit_common( chart_title, - &out_file_path.as_os_str(), - chart_resolution, + in_reference_file_name, + in_file_name, + out_file_name, )?; assert_relative_eq!(point.x(), 1051.0, epsilon = 1.0e-9); @@ -353,34 +247,16 @@ fn degree_45_down_variance2() -> Result<()> { #[test] fn degree_45_down_variance3() -> Result<()> { - let chart_title = "degree_45_down_variance3"; - let chart_resolution = CHART_RESOLUTION; + let chart_title = "curvefit_degree_45_down_variance3"; + let in_reference_file_name = "degree_45_down_raw.chan"; + let in_file_name = "degree_45_down_variance3.chan"; + let out_file_name = "curvefit_degree_45_down_variance3.png"; - let data_dir = find_data_dir()?; - let in_file_path_raw = - construct_input_file_path(&data_dir, "degree_45_down_raw.chan")?; - let in_file_path = - construct_input_file_path(&data_dir, "degree_45_down_variance3.chan")?; - let out_file_path = - construct_output_file_path(&data_dir, "degree_45_down_variance3.png")?; - - let data_raw = read_chan_file(&in_file_path_raw.as_os_str())?; - let data = read_chan_file(&in_file_path.as_os_str())?; - // print_chan_data(&data); - let x_values = chan_data_filter_only_x(&data); - let y_values = chan_data_filter_only_y(&data); - - let (point, slope) = linear_regression(&x_values, &y_values)?; - println!("point={point:?} slope={slope:?}"); - - save_chart_linear_regression( - &data_raw, - &data, - point, - slope, + let (point, slope) = curvefit_common( chart_title, - &out_file_path.as_os_str(), - chart_resolution, + in_reference_file_name, + in_file_name, + out_file_name, )?; assert_relative_eq!(point.x(), 1051.0, epsilon = 1.0e-9); @@ -392,34 +268,16 @@ fn degree_45_down_variance3() -> Result<()> { #[test] fn degree_45_down_variance4() -> Result<()> { - let chart_title = "degree_45_down_variance4"; - let chart_resolution = CHART_RESOLUTION; - - let data_dir = find_data_dir()?; - let in_file_path_raw = - construct_input_file_path(&data_dir, "degree_45_down_raw.chan")?; - let in_file_path = - construct_input_file_path(&data_dir, "degree_45_down_variance4.chan")?; - let out_file_path = - construct_output_file_path(&data_dir, "degree_45_down_variance4.png")?; - - let data_raw = read_chan_file(&in_file_path_raw.as_os_str())?; - let data = read_chan_file(&in_file_path.as_os_str())?; - // print_chan_data(&data); - let x_values = chan_data_filter_only_x(&data); - let y_values = chan_data_filter_only_y(&data); + let chart_title = "curvefit_degree_45_down_variance4"; + let in_reference_file_name = "degree_45_down_raw.chan"; + let in_file_name = "degree_45_down_variance4.chan"; + let out_file_name = "curvefit_degree_45_down_variance4.png"; - let (point, slope) = linear_regression(&x_values, &y_values)?; - println!("point={point:?} slope={slope:?}"); - - save_chart_linear_regression( - &data_raw, - &data, - point, - slope, + let (point, slope) = curvefit_common( chart_title, - &out_file_path.as_os_str(), - chart_resolution, + in_reference_file_name, + in_file_name, + out_file_name, )?; assert_relative_eq!(point.x(), 1051.0, epsilon = 1.0e-9); diff --git a/lib/rust/mmscenegraph/tests/curvefit_identity.rs b/lib/rust/mmscenegraph/tests/curvefit_identity.rs index e112ad70..47f0d705 100644 --- a/lib/rust/mmscenegraph/tests/curvefit_identity.rs +++ b/lib/rust/mmscenegraph/tests/curvefit_identity.rs @@ -38,21 +38,24 @@ use crate::common::save_chart_linear_regression; use crate::common::CHART_RESOLUTION; use mmscenegraph_rust::math::curve_fit::linear_regression; - -#[test] -fn identity_raw() -> Result<()> { - let chart_title = "identity_raw"; +use mmscenegraph_rust::math::curve_fit::AngleRadian; +use mmscenegraph_rust::math::curve_fit::Point2; + +fn curvefit_common( + chart_title: &str, + in_reference_file_name: &str, + in_file_name: &str, + out_file_name: &str, +) -> Result<(Point2, AngleRadian)> { let chart_resolution = CHART_RESOLUTION; let data_dir = find_data_dir()?; - let in_file_path_raw = - construct_input_file_path(&data_dir, "identity_raw.chan")?; - let in_file_path = - construct_input_file_path(&data_dir, "identity_raw.chan")?; - let out_file_path = - construct_output_file_path(&data_dir, "identity_raw.png")?; - - let data_raw = read_chan_file(&in_file_path_raw.as_os_str())?; + let in_reference_file_path = + construct_input_file_path(&data_dir, in_reference_file_name)?; + let in_file_path = construct_input_file_path(&data_dir, in_file_name)?; + let out_file_path = construct_output_file_path(&data_dir, out_file_name)?; + + let data_raw = read_chan_file(&in_reference_file_path.as_os_str())?; let data = read_chan_file(&in_file_path.as_os_str())?; // print_chan_data(&data); let x_values = chan_data_filter_only_x(&data); @@ -71,6 +74,23 @@ fn identity_raw() -> Result<()> { chart_resolution, )?; + Ok((point, slope)) +} + +#[test] +fn identity_raw() -> Result<()> { + let chart_title = "curvefit_identity_raw"; + let in_reference_file_name = "identity_raw.chan"; + let in_file_name = "identity_raw.chan"; + let out_file_name = "curvefit_identity_raw.png"; + + let (point, slope) = curvefit_common( + chart_title, + in_reference_file_name, + in_file_name, + out_file_name, + )?; + assert_relative_eq!(point.x(), 1051.0, epsilon = 1.0e-9); assert_relative_eq!(point.y(), 0.0, epsilon = 1.0e-9); assert_relative_eq!(slope.as_degrees(), 0.0, epsilon = 1.0e-9); @@ -80,34 +100,16 @@ fn identity_raw() -> Result<()> { #[test] fn identity_variance1() -> Result<()> { - let chart_title = "identity_variance1"; - let chart_resolution = CHART_RESOLUTION; - - let data_dir = find_data_dir()?; - let in_file_path_raw = - construct_input_file_path(&data_dir, "identity_raw.chan")?; - let in_file_path = - construct_input_file_path(&data_dir, "identity_variance1.chan")?; - let out_file_path = - construct_output_file_path(&data_dir, "identity_variance1.png")?; - - let data_raw = read_chan_file(&in_file_path_raw.as_os_str())?; - let data = read_chan_file(&in_file_path.as_os_str())?; - // print_chan_data(&data); - let x_values = chan_data_filter_only_x(&data); - let y_values = chan_data_filter_only_y(&data); - - let (point, slope) = linear_regression(&x_values, &y_values)?; - println!("point={point:?} slope={slope:?}"); + let chart_title = "curvefit_identity_variance1"; + let in_reference_file_name = "identity_raw.chan"; + let in_file_name = "identity_variance1.chan"; + let out_file_name = "curvefit_identity_variance1.png"; - save_chart_linear_regression( - &data_raw, - &data, - point, - slope, + let (point, slope) = curvefit_common( chart_title, - &out_file_path.as_os_str(), - chart_resolution, + in_reference_file_name, + in_file_name, + out_file_name, )?; assert_relative_eq!(point.x(), 1051.0, epsilon = 1.0e-9); @@ -119,34 +121,16 @@ fn identity_variance1() -> Result<()> { #[test] fn identity_variance2() -> Result<()> { - let chart_title = "identity_variance2"; - let chart_resolution = CHART_RESOLUTION; + let chart_title = "curvefit_identity_variance2"; + let in_reference_file_name = "identity_raw.chan"; + let in_file_name = "identity_variance2.chan"; + let out_file_name = "curvefit_identity_variance2.png"; - let data_dir = find_data_dir()?; - let in_file_path_raw = - construct_input_file_path(&data_dir, "identity_raw.chan")?; - let in_file_path = - construct_input_file_path(&data_dir, "identity_variance2.chan")?; - let out_file_path = - construct_output_file_path(&data_dir, "identity_variance2.png")?; - - let data_raw = read_chan_file(&in_file_path_raw.as_os_str())?; - let data = read_chan_file(&in_file_path.as_os_str())?; - // print_chan_data(&data); - let x_values = chan_data_filter_only_x(&data); - let y_values = chan_data_filter_only_y(&data); - - let (point, slope) = linear_regression(&x_values, &y_values)?; - println!("point={point:?} slope={slope:?}"); - - save_chart_linear_regression( - &data_raw, - &data, - point, - slope, + let (point, slope) = curvefit_common( chart_title, - &out_file_path.as_os_str(), - chart_resolution, + in_reference_file_name, + in_file_name, + out_file_name, )?; assert_relative_eq!(point.x(), 1051.0, epsilon = 1.0e-9); @@ -158,34 +142,16 @@ fn identity_variance2() -> Result<()> { #[test] fn identity_variance3() -> Result<()> { - let chart_title = "identity_variance3"; - let chart_resolution = CHART_RESOLUTION; - - let data_dir = find_data_dir()?; - let in_file_path_raw = - construct_input_file_path(&data_dir, "identity_raw.chan")?; - let in_file_path = - construct_input_file_path(&data_dir, "identity_variance3.chan")?; - let out_file_path = - construct_output_file_path(&data_dir, "identity_variance3.png")?; - - let data_raw = read_chan_file(&in_file_path_raw.as_os_str())?; - let data = read_chan_file(&in_file_path.as_os_str())?; - // print_chan_data(&data); - let x_values = chan_data_filter_only_x(&data); - let y_values = chan_data_filter_only_y(&data); - - let (point, slope) = linear_regression(&x_values, &y_values)?; - println!("point={point:?} slope={slope:?}"); + let chart_title = "curvefit_identity_variance3"; + let in_reference_file_name = "identity_raw.chan"; + let in_file_name = "identity_variance3.chan"; + let out_file_name = "curvefit_identity_variance3.png"; - save_chart_linear_regression( - &data_raw, - &data, - point, - slope, + let (point, slope) = curvefit_common( chart_title, - &out_file_path.as_os_str(), - chart_resolution, + in_reference_file_name, + in_file_name, + out_file_name, )?; assert_relative_eq!(point.x(), 1051.0, epsilon = 1.0e-9); @@ -197,34 +163,16 @@ fn identity_variance3() -> Result<()> { #[test] fn identity_variance4() -> Result<()> { - let chart_title = "identity_variance4"; - let chart_resolution = CHART_RESOLUTION; - - let data_dir = find_data_dir()?; - let in_file_path_raw = - construct_input_file_path(&data_dir, "identity_raw.chan")?; - let in_file_path = - construct_input_file_path(&data_dir, "identity_variance4.chan")?; - let out_file_path = - construct_output_file_path(&data_dir, "identity_variance4.png")?; - - let data_raw = read_chan_file(&in_file_path_raw.as_os_str())?; - let data = read_chan_file(&in_file_path.as_os_str())?; - // print_chan_data(&data); - let x_values = chan_data_filter_only_x(&data); - let y_values = chan_data_filter_only_y(&data); + let chart_title = "curvefit_identity_variance4"; + let in_reference_file_name = "identity_raw.chan"; + let in_file_name = "identity_variance4.chan"; + let out_file_name = "curvefit_identity_variance4.png"; - let (point, slope) = linear_regression(&x_values, &y_values)?; - println!("point={point:?} slope={slope:?}"); - - save_chart_linear_regression( - &data_raw, - &data, - point, - slope, + let (point, slope) = curvefit_common( chart_title, - &out_file_path.as_os_str(), - chart_resolution, + in_reference_file_name, + in_file_name, + out_file_name, )?; assert_relative_eq!(point.x(), 1051.0, epsilon = 1.0e-9); diff --git a/lib/rust/mmscenegraph/tests/curvefit_linear_2_point.rs b/lib/rust/mmscenegraph/tests/curvefit_linear_2_point.rs index 6760968b..222ae1a1 100644 --- a/lib/rust/mmscenegraph/tests/curvefit_linear_2_point.rs +++ b/lib/rust/mmscenegraph/tests/curvefit_linear_2_point.rs @@ -38,21 +38,24 @@ use crate::common::save_chart_linear_regression; use crate::common::CHART_RESOLUTION; use mmscenegraph_rust::math::curve_fit::linear_regression; - -#[test] -fn linear_2_point_raw() -> Result<()> { - let chart_title = "linear_2_point_raw"; +use mmscenegraph_rust::math::curve_fit::AngleRadian; +use mmscenegraph_rust::math::curve_fit::Point2; + +fn curvefit_common( + chart_title: &str, + in_reference_file_name: &str, + in_file_name: &str, + out_file_name: &str, +) -> Result<(Point2, AngleRadian)> { let chart_resolution = CHART_RESOLUTION; let data_dir = find_data_dir()?; - let in_file_path_raw = - construct_input_file_path(&data_dir, "linear_2_point_raw.chan")?; - let in_file_path = - construct_input_file_path(&data_dir, "linear_2_point_raw.chan")?; - let out_file_path = - construct_output_file_path(&data_dir, "linear_2_point_raw.png")?; - - let data_raw = read_chan_file(&in_file_path_raw.as_os_str())?; + let in_reference_file_path = + construct_input_file_path(&data_dir, in_reference_file_name)?; + let in_file_path = construct_input_file_path(&data_dir, in_file_name)?; + let out_file_path = construct_output_file_path(&data_dir, out_file_name)?; + + let data_raw = read_chan_file(&in_reference_file_path.as_os_str())?; let data = read_chan_file(&in_file_path.as_os_str())?; // print_chan_data(&data); let x_values = chan_data_filter_only_x(&data); @@ -71,6 +74,23 @@ fn linear_2_point_raw() -> Result<()> { chart_resolution, )?; + Ok((point, slope)) +} + +#[test] +fn linear_2_point_raw() -> Result<()> { + let chart_title = "curvefit_linear_2_point_raw"; + let in_reference_file_name = "linear_2_point_raw.chan"; + let in_file_name = "linear_2_point_raw.chan"; + let out_file_name = "curvefit_linear_2_point_raw.png"; + + let (point, slope) = curvefit_common( + chart_title, + in_reference_file_name, + in_file_name, + out_file_name, + )?; + assert_relative_eq!(point.x(), 1051.0, epsilon = 1.0e-9); assert_relative_eq!(point.y(), 0.3197303694878337, epsilon = 1.0e-9); assert_relative_eq!( @@ -78,41 +98,22 @@ fn linear_2_point_raw() -> Result<()> { 1.7585081160706024, epsilon = 1.0e-9 ); - // assert!(false); Ok(()) } #[test] fn linear_2_point_variance1() -> Result<()> { - let chart_title = "linear_2_point_variance1"; - let chart_resolution = CHART_RESOLUTION; - - let data_dir = find_data_dir()?; - let in_file_path_raw = - construct_input_file_path(&data_dir, "linear_2_point_raw.chan")?; - let in_file_path = - construct_input_file_path(&data_dir, "linear_2_point_variance1.chan")?; - let out_file_path = - construct_output_file_path(&data_dir, "linear_2_point_variance1.png")?; - - let data_raw = read_chan_file(&in_file_path_raw.as_os_str())?; - let data = read_chan_file(&in_file_path.as_os_str())?; - // print_chan_data(&data); - let x_values = chan_data_filter_only_x(&data); - let y_values = chan_data_filter_only_y(&data); - - let (point, slope) = linear_regression(&x_values, &y_values)?; - println!("point={point:?} slope={slope:?}"); + let chart_title = "curvefit_linear_2_point_variance1"; + let in_reference_file_name = "linear_2_point_raw.chan"; + let in_file_name = "linear_2_point_variance1.chan"; + let out_file_name = "curvefit_linear_2_point_variance1.png"; - save_chart_linear_regression( - &data_raw, - &data, - point, - slope, + let (point, slope) = curvefit_common( chart_title, - &out_file_path.as_os_str(), - chart_resolution, + in_reference_file_name, + in_file_name, + out_file_name, )?; assert_relative_eq!(point.x(), 1051.0, epsilon = 1.0e-9); @@ -128,34 +129,16 @@ fn linear_2_point_variance1() -> Result<()> { #[test] fn linear_2_point_variance2() -> Result<()> { - let chart_title = "linear_2_point_variance2"; - let chart_resolution = CHART_RESOLUTION; + let chart_title = "curvefit_linear_2_point_variance2"; + let in_reference_file_name = "linear_2_point_raw.chan"; + let in_file_name = "linear_2_point_variance2.chan"; + let out_file_name = "curvefit_linear_2_point_variance2.png"; - let data_dir = find_data_dir()?; - let in_file_path_raw = - construct_input_file_path(&data_dir, "linear_2_point_raw.chan")?; - let in_file_path = - construct_input_file_path(&data_dir, "linear_2_point_variance2.chan")?; - let out_file_path = - construct_output_file_path(&data_dir, "linear_2_point_variance2.png")?; - - let data_raw = read_chan_file(&in_file_path_raw.as_os_str())?; - let data = read_chan_file(&in_file_path.as_os_str())?; - // print_chan_data(&data); - let x_values = chan_data_filter_only_x(&data); - let y_values = chan_data_filter_only_y(&data); - - let (point, slope) = linear_regression(&x_values, &y_values)?; - println!("point={point:?} slope={slope:?}"); - - save_chart_linear_regression( - &data_raw, - &data, - point, - slope, + let (point, slope) = curvefit_common( chart_title, - &out_file_path.as_os_str(), - chart_resolution, + in_reference_file_name, + in_file_name, + out_file_name, )?; assert_relative_eq!(point.x(), 1051.0, epsilon = 1.0e-9); @@ -171,34 +154,16 @@ fn linear_2_point_variance2() -> Result<()> { #[test] fn linear_2_point_variance3() -> Result<()> { - let chart_title = "linear_2_point_variance3"; - let chart_resolution = CHART_RESOLUTION; - - let data_dir = find_data_dir()?; - let in_file_path_raw = - construct_input_file_path(&data_dir, "linear_2_point_raw.chan")?; - let in_file_path = - construct_input_file_path(&data_dir, "linear_2_point_variance3.chan")?; - let out_file_path = - construct_output_file_path(&data_dir, "linear_2_point_variance3.png")?; - - let data_raw = read_chan_file(&in_file_path_raw.as_os_str())?; - let data = read_chan_file(&in_file_path.as_os_str())?; - // print_chan_data(&data); - let x_values = chan_data_filter_only_x(&data); - let y_values = chan_data_filter_only_y(&data); - - let (point, slope) = linear_regression(&x_values, &y_values)?; - println!("point={point:?} slope={slope:?}"); + let chart_title = "curvefit_linear_2_point_variance3"; + let in_reference_file_name = "linear_2_point_raw.chan"; + let in_file_name = "linear_2_point_variance3.chan"; + let out_file_name = "curvefit_linear_2_point_variance3.png"; - save_chart_linear_regression( - &data_raw, - &data, - point, - slope, + let (point, slope) = curvefit_common( chart_title, - &out_file_path.as_os_str(), - chart_resolution, + in_reference_file_name, + in_file_name, + out_file_name, )?; assert_relative_eq!(point.x(), 1051.0, epsilon = 1.0e-9); @@ -210,34 +175,16 @@ fn linear_2_point_variance3() -> Result<()> { #[test] fn linear_2_point_variance4() -> Result<()> { - let chart_title = "linear_2_point_variance4"; - let chart_resolution = CHART_RESOLUTION; - - let data_dir = find_data_dir()?; - let in_file_path_raw = - construct_input_file_path(&data_dir, "linear_2_point_raw.chan")?; - let in_file_path = - construct_input_file_path(&data_dir, "linear_2_point_variance4.chan")?; - let out_file_path = - construct_output_file_path(&data_dir, "linear_2_point_variance4.png")?; - - let data_raw = read_chan_file(&in_file_path_raw.as_os_str())?; - let data = read_chan_file(&in_file_path.as_os_str())?; - // print_chan_data(&data); - let x_values = chan_data_filter_only_x(&data); - let y_values = chan_data_filter_only_y(&data); + let chart_title = "curvefit_linear_2_point_variance4"; + let in_reference_file_name = "linear_2_point_raw.chan"; + let in_file_name = "linear_2_point_variance4.chan"; + let out_file_name = "curvefit_linear_2_point_variance4.png"; - let (point, slope) = linear_regression(&x_values, &y_values)?; - println!("point={point:?} slope={slope:?}"); - - save_chart_linear_regression( - &data_raw, - &data, - point, - slope, + let (point, slope) = curvefit_common( chart_title, - &out_file_path.as_os_str(), - chart_resolution, + in_reference_file_name, + in_file_name, + out_file_name, )?; assert_relative_eq!(point.x(), 1051.0, epsilon = 1.0e-9); diff --git a/lib/rust/mmscenegraph/tests/curvefit_linear_3_point.rs b/lib/rust/mmscenegraph/tests/curvefit_linear_3_point.rs index b89166d8..c0d6d857 100644 --- a/lib/rust/mmscenegraph/tests/curvefit_linear_3_point.rs +++ b/lib/rust/mmscenegraph/tests/curvefit_linear_3_point.rs @@ -35,21 +35,23 @@ use crate::common::save_chart_linear_n3_regression; use crate::common::CHART_RESOLUTION; use mmscenegraph_rust::math::curve_fit::nonlinear_line_n3; - -#[test] -fn linear_3_point_raw() -> Result<()> { - let chart_title = "linear_3_point_raw"; +use mmscenegraph_rust::math::curve_fit::Point2; + +fn curvefit_common( + chart_title: &str, + in_reference_file_name: &str, + in_file_name: &str, + out_file_name: &str, +) -> Result<(Point2, Point2, Point2)> { let chart_resolution = CHART_RESOLUTION; let data_dir = find_data_dir()?; - let in_file_path_raw = - construct_input_file_path(&data_dir, "linear_3_point_raw.chan")?; - let in_file_path = - construct_input_file_path(&data_dir, "linear_3_point_raw.chan")?; - let out_file_path = - construct_output_file_path(&data_dir, "linear_3_point_raw.png")?; - - let data_raw = read_chan_file(&in_file_path_raw.as_os_str())?; + let in_reference_file_path = + construct_input_file_path(&data_dir, in_reference_file_name)?; + let in_file_path = construct_input_file_path(&data_dir, in_file_name)?; + let out_file_path = construct_output_file_path(&data_dir, out_file_name)?; + + let data_raw = read_chan_file(&in_reference_file_path.as_os_str())?; let data = read_chan_file(&in_file_path.as_os_str())?; // print_chan_data(&data); let x_values = chan_data_filter_only_x(&data); @@ -71,6 +73,23 @@ fn linear_3_point_raw() -> Result<()> { chart_resolution, )?; + Ok((point_a, point_b, point_c)) +} + +#[test] +fn curvefit_linear_3_point_raw() -> Result<()> { + let chart_title = "curvefit_linear_3_point_raw"; + let in_reference_file_name = "linear_3_point_raw.chan"; + let in_file_name = "linear_3_point_raw.chan"; + let out_file_name = "curvefit_linear_3_point_raw.png"; + + let (point_a, point_b, point_c) = curvefit_common( + chart_title, + in_reference_file_name, + in_file_name, + out_file_name, + )?; + assert_relative_eq!(point_a.x(), 1001.0, epsilon = 1.0e-1); assert_relative_eq!(point_a.y(), -1.21533949192, epsilon = 1.0e-2); @@ -84,38 +103,17 @@ fn linear_3_point_raw() -> Result<()> { } #[test] -fn linear_3_point_variance1() -> Result<()> { - let chart_title = "linear_3_point_variance1"; - let chart_resolution = CHART_RESOLUTION; +fn curvefit_linear_3_point_variance1() -> Result<()> { + let chart_title = "curvefit_linear_3_point_variance1"; + let in_reference_file_name = "linear_3_point_raw.chan"; + let in_file_name = "linear_3_point_variance1.chan"; + let out_file_name = "curvefit_linear_3_point_variance1.png"; - let data_dir = find_data_dir()?; - let in_file_path_raw = - construct_input_file_path(&data_dir, "linear_3_point_raw.chan")?; - let in_file_path = - construct_input_file_path(&data_dir, "linear_3_point_variance1.chan")?; - let out_file_path = - construct_output_file_path(&data_dir, "linear_3_point_variance1.png")?; - - let data_raw = read_chan_file(&in_file_path_raw.as_os_str())?; - let data = read_chan_file(&in_file_path.as_os_str())?; - // print_chan_data(&data); - let x_values = chan_data_filter_only_x(&data); - let y_values = chan_data_filter_only_y(&data); - - let (point_a, point_b, point_c) = nonlinear_line_n3(&x_values, &y_values)?; - println!("point_a={point_a:?}"); - println!("point_b={point_b:?}"); - println!("point_c={point_c:?}"); - - save_chart_linear_n3_regression( - &data_raw, - &data, - point_a, - point_b, - point_c, + let (point_a, point_b, point_c) = curvefit_common( chart_title, - &out_file_path.as_os_str(), - chart_resolution, + in_reference_file_name, + in_file_name, + out_file_name, )?; assert_relative_eq!(point_a.x(), 1001.0, epsilon = 1.0e-1); @@ -131,38 +129,17 @@ fn linear_3_point_variance1() -> Result<()> { } #[test] -fn linear_3_point_variance2() -> Result<()> { - let chart_title = "linear_3_point_variance2"; - let chart_resolution = CHART_RESOLUTION; - - let data_dir = find_data_dir()?; - let in_file_path_raw = - construct_input_file_path(&data_dir, "linear_3_point_raw.chan")?; - let in_file_path = - construct_input_file_path(&data_dir, "linear_3_point_variance2.chan")?; - let out_file_path = - construct_output_file_path(&data_dir, "linear_3_point_variance2.png")?; - - let data_raw = read_chan_file(&in_file_path_raw.as_os_str())?; - let data = read_chan_file(&in_file_path.as_os_str())?; - // print_chan_data(&data); - let x_values = chan_data_filter_only_x(&data); - let y_values = chan_data_filter_only_y(&data); +fn curvefit_linear_3_point_variance2() -> Result<()> { + let chart_title = "curvefit_linear_3_point_variance2"; + let in_reference_file_name = "linear_3_point_raw.chan"; + let in_file_name = "linear_3_point_variance2.chan"; + let out_file_name = "curvefit_linear_3_point_variance2.png"; - let (point_a, point_b, point_c) = nonlinear_line_n3(&x_values, &y_values)?; - println!("point_a={point_a:?}"); - println!("point_b={point_b:?}"); - println!("point_c={point_c:?}"); - - save_chart_linear_n3_regression( - &data_raw, - &data, - point_a, - point_b, - point_c, + let (point_a, point_b, point_c) = curvefit_common( chart_title, - &out_file_path.as_os_str(), - chart_resolution, + in_reference_file_name, + in_file_name, + out_file_name, )?; assert_relative_eq!(point_a.x(), 1001.0, epsilon = 1.0e-1); @@ -178,38 +155,17 @@ fn linear_3_point_variance2() -> Result<()> { } #[test] -fn linear_3_point_variance3() -> Result<()> { - let chart_title = "linear_3_point_variance3"; - let chart_resolution = CHART_RESOLUTION; - - let data_dir = find_data_dir()?; - let in_file_path_raw = - construct_input_file_path(&data_dir, "linear_3_point_raw.chan")?; - let in_file_path = - construct_input_file_path(&data_dir, "linear_3_point_variance3.chan")?; - let out_file_path = - construct_output_file_path(&data_dir, "linear_3_point_variance3.png")?; - - let data_raw = read_chan_file(&in_file_path_raw.as_os_str())?; - let data = read_chan_file(&in_file_path.as_os_str())?; - // print_chan_data(&data); - let x_values = chan_data_filter_only_x(&data); - let y_values = chan_data_filter_only_y(&data); +fn curvefit_linear_3_point_variance3() -> Result<()> { + let chart_title = "curvefit_linear_3_point_variance3"; + let in_reference_file_name = "linear_3_point_raw.chan"; + let in_file_name = "linear_3_point_variance3.chan"; + let out_file_name = "curvefit_linear_3_point_variance3.png"; - let (point_a, point_b, point_c) = nonlinear_line_n3(&x_values, &y_values)?; - println!("point_a={point_a:?}"); - println!("point_b={point_b:?}"); - println!("point_c={point_c:?}"); - - save_chart_linear_n3_regression( - &data_raw, - &data, - point_a, - point_b, - point_c, + let (point_a, point_b, point_c) = curvefit_common( chart_title, - &out_file_path.as_os_str(), - chart_resolution, + in_reference_file_name, + in_file_name, + out_file_name, )?; assert_relative_eq!(point_a.x(), 1001.0, epsilon = 1.0e-1); @@ -225,38 +181,17 @@ fn linear_3_point_variance3() -> Result<()> { } #[test] -fn linear_3_point_variance4() -> Result<()> { - let chart_title = "linear_3_point_variance4"; - let chart_resolution = CHART_RESOLUTION; - - let data_dir = find_data_dir()?; - let in_file_path_raw = - construct_input_file_path(&data_dir, "linear_3_point_raw.chan")?; - let in_file_path = - construct_input_file_path(&data_dir, "linear_3_point_variance4.chan")?; - let out_file_path = - construct_output_file_path(&data_dir, "linear_3_point_variance4.png")?; - - let data_raw = read_chan_file(&in_file_path_raw.as_os_str())?; - let data = read_chan_file(&in_file_path.as_os_str())?; - // print_chan_data(&data); - let x_values = chan_data_filter_only_x(&data); - let y_values = chan_data_filter_only_y(&data); - - let (point_a, point_b, point_c) = nonlinear_line_n3(&x_values, &y_values)?; - println!("point_a={point_a:?}"); - println!("point_b={point_b:?}"); - println!("point_c={point_c:?}"); +fn curvefit_linear_3_point_variance4() -> Result<()> { + let chart_title = "curvefit_linear_3_point_variance4"; + let in_reference_file_name = "linear_3_point_raw.chan"; + let in_file_name = "linear_3_point_variance4.chan"; + let out_file_name = "curvefit_linear_3_point_variance4.png"; - save_chart_linear_n3_regression( - &data_raw, - &data, - point_a, - point_b, - point_c, + let (point_a, point_b, point_c) = curvefit_common( chart_title, - &out_file_path.as_os_str(), - chart_resolution, + in_reference_file_name, + in_file_name, + out_file_name, )?; assert_relative_eq!(point_a.x(), 1001.0, epsilon = 1.0e-1); diff --git a/lib/rust/mmscenegraph/tests/curvefit_linear_4_point.rs b/lib/rust/mmscenegraph/tests/curvefit_linear_4_point.rs index 2e21f64f..6598bfd1 100644 --- a/lib/rust/mmscenegraph/tests/curvefit_linear_4_point.rs +++ b/lib/rust/mmscenegraph/tests/curvefit_linear_4_point.rs @@ -38,21 +38,25 @@ use crate::common::read_chan_file; use crate::common::save_chart_linear_n_points_regression; use crate::common::CHART_RESOLUTION; -// use mmscenegraph_rust::math::curve_fit::nonlinear_line_n3; use mmscenegraph_rust::math::curve_fit::nonlinear_line_n_points; - -#[test] -fn linear_4_point_raw() -> Result<()> { - let chart_title = "linear_4_point_raw"; +use mmscenegraph_rust::math::curve_fit::Point2; +use mmscenegraph_rust::math::interpolate::InterpolationMethod; + +fn curvefit_common( + chart_title: &str, + in_reference_file_name: &str, + in_file_name: &str, + out_file_name: &str, + n_points: usize, + interpolation_method: InterpolationMethod, +) -> Result> { let chart_resolution = CHART_RESOLUTION; let data_dir = find_data_dir()?; let in_file_path_raw = - construct_input_file_path(&data_dir, "linear_4_point_raw.chan")?; - let in_file_path = - construct_input_file_path(&data_dir, "linear_4_point_raw.chan")?; - let out_file_path = - construct_output_file_path(&data_dir, "linear_4_point_raw.png")?; + construct_input_file_path(&data_dir, in_reference_file_name)?; + let in_file_path = construct_input_file_path(&data_dir, in_file_name)?; + let out_file_path = construct_output_file_path(&data_dir, out_file_name)?; let data_raw = read_chan_file(&in_file_path_raw.as_os_str())?; let data = read_chan_file(&in_file_path.as_os_str())?; @@ -60,7 +64,14 @@ fn linear_4_point_raw() -> Result<()> { let x_values = chan_data_filter_only_x(&data); let y_values = chan_data_filter_only_y(&data); - let points = nonlinear_line_n_points(&x_values, &y_values, 4)?; + let n_points = 4; + let interpolation_method = InterpolationMethod::Linear; + let points = nonlinear_line_n_points( + &x_values, + &y_values, + n_points, + interpolation_method, + )?; println!("points={points:?}"); save_chart_linear_n_points_regression( @@ -72,6 +83,27 @@ fn linear_4_point_raw() -> Result<()> { chart_resolution, )?; + Ok(points) +} + +#[test] +fn curvefit_linear_4_point_raw() -> Result<()> { + let chart_title = "curvefit_linear_4_point_raw"; + let in_reference_file_name = "linear_4_point_raw.chan"; + let in_file_name = "linear_4_point_raw.chan"; + let out_file_name = "curvefit_linear_4_point_raw.png"; + let n_points = 4; + let interpolation_method = InterpolationMethod::Linear; + + let points = curvefit_common( + chart_title, + in_reference_file_name, + in_file_name, + out_file_name, + n_points, + interpolation_method, + )?; + let point_a = points[0]; let point_b = points[1]; let point_c = points[2]; @@ -97,34 +129,21 @@ fn linear_4_point_raw() -> Result<()> { } #[test] -fn linear_4_point_variance1() -> Result<()> { - let chart_title = "linear_4_point_variance1"; - let chart_resolution = CHART_RESOLUTION; - - let data_dir = find_data_dir()?; - let in_file_path_raw = - construct_input_file_path(&data_dir, "linear_4_point_raw.chan")?; - let in_file_path = - construct_input_file_path(&data_dir, "linear_4_point_variance1.chan")?; - let out_file_path = - construct_output_file_path(&data_dir, "linear_4_point_variance1.png")?; - - let data_raw = read_chan_file(&in_file_path_raw.as_os_str())?; - let data = read_chan_file(&in_file_path.as_os_str())?; - // print_chan_data(&data); - let x_values = chan_data_filter_only_x(&data); - let y_values = chan_data_filter_only_y(&data); - - let points = nonlinear_line_n_points(&x_values, &y_values, 4)?; - println!("points={points:?}"); - - save_chart_linear_n_points_regression( - &data_raw, - &data, - &points, +fn curvefit_linear_4_point_variance1() -> Result<()> { + let chart_title = "curvefit_linear_4_point_variance1"; + let in_reference_file_name = "linear_4_point_raw.chan"; + let in_file_name = "linear_4_point_variance1.chan"; + let out_file_name = "curvefit_linear_4_point_variance1.png"; + let n_points = 4; + let interpolation_method = InterpolationMethod::Linear; + + let points = curvefit_common( chart_title, - &out_file_path.as_os_str(), - chart_resolution, + in_reference_file_name, + in_file_name, + out_file_name, + n_points, + interpolation_method, )?; let point_a = points[0]; @@ -152,34 +171,21 @@ fn linear_4_point_variance1() -> Result<()> { } #[test] -fn linear_4_point_variance2() -> Result<()> { - let chart_title = "linear_4_point_variance2"; - let chart_resolution = CHART_RESOLUTION; - - let data_dir = find_data_dir()?; - let in_file_path_raw = - construct_input_file_path(&data_dir, "linear_4_point_raw.chan")?; - let in_file_path = - construct_input_file_path(&data_dir, "linear_4_point_variance2.chan")?; - let out_file_path = - construct_output_file_path(&data_dir, "linear_4_point_variance2.png")?; - - let data_raw = read_chan_file(&in_file_path_raw.as_os_str())?; - let data = read_chan_file(&in_file_path.as_os_str())?; - // print_chan_data(&data); - let x_values = chan_data_filter_only_x(&data); - let y_values = chan_data_filter_only_y(&data); - - let points = nonlinear_line_n_points(&x_values, &y_values, 4)?; - println!("points={points:?}"); - - save_chart_linear_n_points_regression( - &data_raw, - &data, - &points, +fn curvefit_linear_4_point_variance2() -> Result<()> { + let chart_title = "curvefit_linear_4_point_variance2"; + let in_reference_file_name = "linear_4_point_raw.chan"; + let in_file_name = "linear_4_point_variance2.chan"; + let out_file_name = "curvefit_linear_4_point_variance2.png"; + let n_points = 4; + let interpolation_method = InterpolationMethod::Linear; + + let points = curvefit_common( chart_title, - &out_file_path.as_os_str(), - chart_resolution, + in_reference_file_name, + in_file_name, + out_file_name, + n_points, + interpolation_method, )?; let point_a = points[0]; @@ -207,34 +213,21 @@ fn linear_4_point_variance2() -> Result<()> { } #[test] -fn linear_4_point_variance3() -> Result<()> { - let chart_title = "linear_4_point_variance3"; - let chart_resolution = CHART_RESOLUTION; - - let data_dir = find_data_dir()?; - let in_file_path_raw = - construct_input_file_path(&data_dir, "linear_4_point_raw.chan")?; - let in_file_path = - construct_input_file_path(&data_dir, "linear_4_point_variance3.chan")?; - let out_file_path = - construct_output_file_path(&data_dir, "linear_4_point_variance3.png")?; - - let data_raw = read_chan_file(&in_file_path_raw.as_os_str())?; - let data = read_chan_file(&in_file_path.as_os_str())?; - // print_chan_data(&data); - let x_values = chan_data_filter_only_x(&data); - let y_values = chan_data_filter_only_y(&data); - - let points = nonlinear_line_n_points(&x_values, &y_values, 4)?; - println!("points={points:?}"); - - save_chart_linear_n_points_regression( - &data_raw, - &data, - &points, +fn curvefit_linear_4_point_variance3() -> Result<()> { + let chart_title = "curvefit_linear_4_point_variance3"; + let in_reference_file_name = "linear_4_point_raw.chan"; + let in_file_name = "linear_4_point_variance3.chan"; + let out_file_name = "curvefit_linear_4_point_variance3.png"; + let n_points = 4; + let interpolation_method = InterpolationMethod::Linear; + + let points = curvefit_common( chart_title, - &out_file_path.as_os_str(), - chart_resolution, + in_reference_file_name, + in_file_name, + out_file_name, + n_points, + interpolation_method, )?; let point_a = points[0]; @@ -262,34 +255,21 @@ fn linear_4_point_variance3() -> Result<()> { } #[test] -fn linear_4_point_variance4() -> Result<()> { - let chart_title = "linear_4_point_variance4"; - let chart_resolution = CHART_RESOLUTION; - - let data_dir = find_data_dir()?; - let in_file_path_raw = - construct_input_file_path(&data_dir, "linear_4_point_raw.chan")?; - let in_file_path = - construct_input_file_path(&data_dir, "linear_4_point_variance4.chan")?; - let out_file_path = - construct_output_file_path(&data_dir, "linear_4_point_variance4.png")?; - - let data_raw = read_chan_file(&in_file_path_raw.as_os_str())?; - let data = read_chan_file(&in_file_path.as_os_str())?; - // print_chan_data(&data); - let x_values = chan_data_filter_only_x(&data); - let y_values = chan_data_filter_only_y(&data); - - let points = nonlinear_line_n_points(&x_values, &y_values, 4)?; - println!("points={points:?}"); - - save_chart_linear_n_points_regression( - &data_raw, - &data, - &points, +fn curvefit_linear_4_point_variance4() -> Result<()> { + let chart_title = "curvefit_linear_4_point_variance4"; + let in_reference_file_name = "linear_4_point_raw.chan"; + let in_file_name = "linear_4_point_variance4.chan"; + let out_file_name = "curvefit_linear_4_point_variance4.png"; + let n_points = 4; + let interpolation_method = InterpolationMethod::Linear; + + let points = curvefit_common( chart_title, - &out_file_path.as_os_str(), - chart_resolution, + in_reference_file_name, + in_file_name, + out_file_name, + n_points, + interpolation_method, )?; let point_a = points[0]; diff --git a/lib/rust/mmscenegraph/tests/data/bounce_5_up_down_infill_gap1.png b/lib/rust/mmscenegraph/tests/data/bounce_5_up_down_infill_gap1.png deleted file mode 100644 index 63b338618da20a1bb445f44056145645d11789b7..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 95446 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