2019-11-19 18:34:52 +00:00
use super ::{ diffusion , downhill , neighbors , uniform_idx_as_vec2 , uphill , WORLD_SIZE } ;
use bitvec ::prelude ::{ bitbox , bitvec , BitBox } ;
2019-10-16 11:39:41 +00:00
use crate ::{ config ::CONFIG , util ::RandomField } ;
use common ::{ terrain ::TerrainChunkSize , vol ::RectVolSize } ;
use noise ::{ NoiseFn , Point3 } ;
use num ::Float ;
use ordered_float ::NotNan ;
use rayon ::prelude ::* ;
use std ::{
cmp ::{ Ordering , Reverse } ,
collections ::BinaryHeap ,
f32 , f64 , mem , u32 ,
} ;
use vek ::* ;
/// Compute the water flux at all chunks, given a list of chunk indices sorted by increasing
/// height.
pub fn get_drainage ( newh : & [ u32 ] , downhill : & [ isize ] , _boundary_len : usize ) -> Box < [ f32 ] > {
// FIXME: Make the below work. For now, we just use constant flux.
// Initially, flux is determined by rainfall. We currently treat this as the same as humidity,
// so we just use humidity as a proxy. The total flux across the whole map is normalize to
// 1.0, and we expect the average flux to be 0.5. To figure out how far from normal any given
// chunk is, we use its logit.
// NOTE: If there are no non-boundary chunks, we just set base_flux to 1.0; this should still
// work fine because in that case there's no erosion anyway.
// let base_flux = 1.0 / ((WORLD_SIZE.x * WORLD_SIZE.y) as f32);
let base_flux = 1.0 ;
let mut flux = vec! [ base_flux ; WORLD_SIZE . x * WORLD_SIZE . y ] . into_boxed_slice ( ) ;
for & chunk_idx in newh . into_iter ( ) . rev ( ) {
let chunk_idx = chunk_idx as usize ;
let downhill_idx = downhill [ chunk_idx ] ;
if downhill_idx > = 0 {
flux [ downhill_idx as usize ] + = flux [ chunk_idx ] ;
}
}
flux
}
/// Kind of water on this tile.
#[ derive(Clone, Copy, Debug, PartialEq) ]
pub enum RiverKind {
Ocean ,
Lake {
/// In addition to a downhill node (pointing to, eventually, the bottom of the lake), each
/// lake also has a "pass" that identifies the direction out of which water should flow
/// from this lake if it is minimally flooded. While some lakes may be too full for this
/// to be the actual pass used by their enclosing lake, we still use this as a way to make
/// sure that lake connections to rivers flow in the correct direction.
neighbor_pass_pos : Vec2 < i32 > ,
} ,
/// River should be maximal.
River {
/// Dimensions of the river's cross-sectional area, as m × m (rivers are approximated
/// as an open rectangular prism in the direction of the velocity vector).
cross_section : Vec2 < f32 > ,
} ,
}
impl RiverKind {
pub fn is_river ( & self ) -> bool {
if let RiverKind ::River { .. } = * self {
true
} else {
false
}
}
pub fn is_lake ( & self ) -> bool {
if let RiverKind ::Lake { .. } = * self {
true
} else {
false
}
}
}
impl PartialOrd for RiverKind {
fn partial_cmp ( & self , other : & Self ) -> Option < Ordering > {
match ( * self , * other ) {
( RiverKind ::Ocean , RiverKind ::Ocean ) = > Some ( Ordering ::Equal ) ,
( RiverKind ::Ocean , _ ) = > Some ( Ordering ::Less ) ,
( _ , RiverKind ::Ocean ) = > Some ( Ordering ::Greater ) ,
( RiverKind ::Lake { .. } , RiverKind ::Lake { .. } ) = > None ,
( RiverKind ::Lake { .. } , _ ) = > Some ( Ordering ::Less ) ,
( _ , RiverKind ::Lake { .. } ) = > Some ( Ordering ::Greater ) ,
( RiverKind ::River { .. } , RiverKind ::River { .. } ) = > None ,
}
}
}
/// From velocity and cross_section we can calculate the volumetric flow rate, as the
/// cross-sectional area times the velocity.
///
/// TODO: we might choose to include a curve for the river, as long as it didn't allow it to
/// cross more than one neighboring chunk away. For now we defer this to rendering time.
///
/// NOTE: This structure is 57 (or more likely 64) bytes, which is kind of big.
#[ derive(Clone, Debug, Default) ]
pub struct RiverData {
/// A velocity vector (in m / minute, i.e. voxels / second from a game perspective).
///
/// TODO: To represent this in a better-packed way, use u8s instead (as "f8s").
pub ( crate ) velocity : Vec3 < f32 > ,
/// The computed derivative for the segment of river starting at this chunk (and flowing
/// downhill). Should be 0 at endpoints. For rivers with more than one incoming segment, we
/// weight the derivatives by flux (cross-sectional area times velocity) which is correlated
/// with mass / second; treating the derivative as "velocity" with respect to length along the
/// river, we treat the weighted sum of incoming splines as the "momentum", and can divide it
/// by the total incoming mass as a way to find the velocity of the center of mass. We can
/// then use this derivative to find a "tangent" for the incoming river segment at this point,
/// and as the linear part of the interpolating spline at this point.
///
/// Note that we aren't going to have completely smooth curves here anyway, so we will probably
/// end up applying a dampening factor as well (maybe based on the length?) to prevent
/// extremely wild oscillations.
pub ( crate ) spline_derivative : Vec2 < f32 > ,
/// If this chunk is part of a river, this should be true. We can't just compute this from the
/// cross section because once a river becomes visible, we want it to stay visible until it
/// reaches its sink.
pub river_kind : Option < RiverKind > ,
/// We also have a second record for recording any rivers in nearby chunks that manage to
/// intersect this chunk, though this is unlikely to happen in current gameplay. This is
/// because river areas are allowed to cross arbitrarily many chunk boundaries, if they are
/// wide enough. In such cases we may choose to render the rivers as particularly deep in
/// those places.
pub ( crate ) neighbor_rivers : Vec < u32 > ,
}
impl RiverData {
pub fn is_river ( & self ) -> bool {
self . river_kind
. as_ref ( )
. map ( RiverKind ::is_river )
. unwrap_or ( false )
}
pub fn is_lake ( & self ) -> bool {
self . river_kind
. as_ref ( )
. map ( RiverKind ::is_lake )
. unwrap_or ( false )
}
}
/// Draw rivers and assign them heights, widths, and velocities. Take some liberties with the
/// constant factors etc. in order to make it more likely that we draw rivers at all.
pub fn get_rivers (
newh : & [ u32 ] ,
water_alt : & [ f32 ] ,
downhill : & [ isize ] ,
indirection : & [ i32 ] ,
drainage : & [ f32 ] ,
) -> Box < [ RiverData ] > {
// For continuity-preserving quadratic spline interpolation, we (appear to) need to build
// up the derivatives from the top down. Fortunately this computation seems tractable.
let mut rivers = vec! [ RiverData ::default ( ) ; WORLD_SIZE . x * WORLD_SIZE . y ] . into_boxed_slice ( ) ;
let neighbor_coef = TerrainChunkSize ::RECT_SIZE . map ( | e | e as f64 ) ;
// NOTE: This technically makes us discontinuous, so we should be cautious about using this.
let derivative_divisor = 1.0 ;
2019-11-19 18:34:52 +00:00
let height_scale = 1.0 ; // 1.0 / CONFIG.mountain_scale as f64;
2019-10-16 11:39:41 +00:00
for & chunk_idx in newh . into_iter ( ) . rev ( ) {
let chunk_idx = chunk_idx as usize ;
let downhill_idx = downhill [ chunk_idx ] ;
if downhill_idx < 0 {
// We are in the ocean.
debug_assert! ( downhill_idx = = - 2 ) ;
rivers [ chunk_idx ] . river_kind = Some ( RiverKind ::Ocean ) ;
continue ;
}
let downhill_idx = downhill_idx as usize ;
let downhill_pos = uniform_idx_as_vec2 ( downhill_idx ) ;
let dxy = ( downhill_pos - uniform_idx_as_vec2 ( chunk_idx ) ) . map ( | e | e as f64 ) ;
let neighbor_dim = neighbor_coef * dxy ;
// First, we calculate the river's volumetric flow rate.
let chunk_drainage = drainage [ chunk_idx ] as f64 ;
// Volumetric flow rate is just the total drainage area to this chunk, times rainfall
// height per chunk per minute (needed in order to use this as a m³ volume).
// TODO: consider having different rainfall rates (and including this information in the
// computation of drainage).
let volumetric_flow_rate = chunk_drainage * CONFIG . rainfall_chunk_rate as f64 ;
let downhill_drainage = drainage [ downhill_idx ] as f64 ;
// We know the drainage to the downhill node is just chunk_drainage - 1.0 (the amount of
// rainfall this chunk is said to get), so we don't need to explicitly remember the
// incoming mass. How do we find a slope for endpoints where there is no incoming data?
// Currently, we just assume it's set to 0.0.
// TODO: Fix this when we add differing amounts of rainfall.
let incoming_drainage = downhill_drainage - 1.0 ;
let get_river_spline_derivative =
| neighbor_dim : Vec2 < f64 > , spline_derivative : Vec2 < f32 > | {
/* if incoming_drainage == 0.0 {
Vec2 ::zero ( )
} else * /
{
// "Velocity of center of mass" of splines of incoming flows.
let river_prev_slope = spline_derivative . map ( | e | e as f64 ) /* / incoming_drainage */ ;
// NOTE: We need to make sure the slope doesn't get *too* crazy.
// ((dpx - cx) - 4 * MAX).abs() = bx
// NOTE: This will fail if the distance between chunks in any direction
// is exactly TerrainChunkSize::RECT * 4.0, but hopefully this should not be possible.
// NOTE: This isn't measuring actual distance, you can go farther on diagonals.
// let max_deriv = neighbor_dim - neighbor_coef * 4.0;
let max_deriv = neighbor_dim - neighbor_coef * 2.0 * 2. 0. sqrt ( ) ;
let extra_divisor = river_prev_slope
. map2 ( max_deriv , | e , f | ( e / f ) . abs ( ) )
. reduce_partial_max ( ) ;
// Set up the river's spline derivative. For each incoming river at pos with
// river_spline_derivative bx, we can compute our interpolated slope as:
// d_x = 2 * (chunk_pos - pos - bx) + bx
// = 2 * (chunk_pos - pos) - bx
//
// which is exactly twice what was weighted by uphill nodes to get our
// river_spline_derivative in the first place.
//
// NOTE: this probably implies that the distance shouldn't be normalized, since the
// distances aren't actually equal between x and y... we'll see what happens.
( if extra_divisor > 1.0 {
river_prev_slope / extra_divisor
} else {
river_prev_slope
} )
. map ( | e | e as f32 )
}
} ;
let river = & rivers [ chunk_idx ] ;
let river_spline_derivative =
get_river_spline_derivative ( neighbor_dim , river . spline_derivative ) ;
let indirection_idx = indirection [ chunk_idx ] ;
// Find the lake we are flowing into.
let lake_idx = if indirection_idx < 0 {
2019-11-25 03:47:33 +00:00
// If we're a lake bottom, our own indirection is negative.
/* let mut lake = &mut rivers[chunk_idx];
2019-10-16 11:39:41 +00:00
let neighbor_pass_idx = downhill_idx ;
// Mass flow from this lake is treated as a weighting factor (this is currently
// considered proportional to drainage, but in the direction of "lake side of pass to
// pass.").
let neighbor_pass_pos = downhill_pos ;
lake . river_kind = Some ( RiverKind ::Lake {
neighbor_pass_pos : neighbor_pass_pos
* TerrainChunkSize ::RECT_SIZE . map ( | e | e as i32 ) ,
} ) ;
2019-11-25 03:47:33 +00:00
lake . spline_derivative = Vec2 ::zero ( ) /* river_spline_derivative */ ; * /
2019-10-16 11:39:41 +00:00
let pass_idx = ( - indirection_idx ) as usize ;
2019-11-25 03:47:33 +00:00
/* let pass_pos = uniform_idx_as_vec2(pass_idx);
let lake_direction = neighbor_coef * ( neighbor_pass_pos - pass_pos ) . map ( | e | e as f64 ) ; * /
2019-10-16 11:39:41 +00:00
let pass = & rivers [ pass_idx ] ;
2019-11-25 03:47:33 +00:00
/* / / Our side of the pass must have already been traversed (even if our side of the pass
// is the lake bottom), so we acquire its computed river_spline_derivative.
debug_assert! ( pass . is_lake ( ) ) ; * /
// NOTE: Must exist since this lake had a downhill in the first place.
let neighbor_pass_idx = downhill [ pass_idx ] as usize /* downhill_idx */ ;
/* let pass_spline_derivative = pass.spline_derivative.map(|e| e as f64) /* Vec2::zero() */ ;
2019-10-16 11:39:41 +00:00
// Normally we want to not normalize, but for the lake we don't want to generate a
// super long edge since it could lead to a lot of oscillation... this is another
// reason why we shouldn't use the lake bottom.
// lake_direction.normalize();
// We want to assign the drained node from any lake to be a river.
let lake_drainage = /* drainage[chunk_idx] */ chunk_drainage ;
let lake_neighbor_pass_incoming_drainage = incoming_drainage ;
let weighted_flow = ( lake_direction * 2.0 - pass_spline_derivative )
/ derivative_divisor
* lake_drainage
2019-11-25 03:47:33 +00:00
/ lake_neighbor_pass_incoming_drainage ; * /
2019-10-16 11:39:41 +00:00
let mut lake_neighbor_pass = & mut rivers [ neighbor_pass_idx ] ;
// We definitely shouldn't have encountered this yet!
debug_assert! ( lake_neighbor_pass . velocity = = Vec3 ::zero ( ) ) ;
// TODO: Rethink making the lake neighbor pass always a river or lake, no matter how
// much incoming water there is? Sometimes it looks weird having a river emerge from a
// tiny pool.
lake_neighbor_pass . river_kind = Some ( RiverKind ::River {
cross_section : Vec2 ::default ( ) ,
} ) ;
2019-11-25 03:47:33 +00:00
/* / / We also want to add to the out-flow side of the pass a (flux-weighted)
2019-10-16 11:39:41 +00:00
// derivative coming from the lake center.
//
// NOTE: Maybe consider utilizing 3D component of spline somehow? Currently this is
// basically a flat vector, but that might be okay from lake to other side of pass.
lake_neighbor_pass . spline_derivative + = /* Vec2::new(weighted_flow.x, weighted_flow.y) */
weighted_flow . map ( | e | e as f32 ) ;
2019-11-22 02:55:19 +00:00
continue ; * /
chunk_idx
2019-10-16 11:39:41 +00:00
} else {
indirection_idx as usize
} ;
// Find the pass this lake is flowing into (i.e. water at the lake bottom gets
// pushed towards the point identified by pass_idx).
2019-11-25 03:47:33 +00:00
let pass_idx = ( - indirection [ lake_idx ] ) as usize ;
// Add our spline derivative to the downhill river (weighted by the chunk's drainage).
// NOTE: Don't add the spline derivative to the lake side of the pass for our own lake,
// because we don't want to preserve weird curvature from before we hit the lake in the
// outflowing river (this will not apply to one-chunk lakes, which are their own pass).
if pass_idx ! = downhill_idx {
// TODO: consider utilizing height difference component of flux as well; currently we
// just discard it in figuring out the spline's slope.
let downhill_river = & mut rivers [ downhill_idx ] ;
let weighted_flow = ( neighbor_dim * 2.0 - river_spline_derivative . map ( | e | e as f64 ) )
/ derivative_divisor
* chunk_drainage
/ incoming_drainage ;
downhill_river . spline_derivative + = weighted_flow . map ( | e | e as f32 ) ;
}
2019-11-22 02:55:19 +00:00
let neighbor_pass_idx = downhill [ pass_idx /* lake_idx */ ] ;
2019-10-16 11:39:41 +00:00
// Find our own water height.
let chunk_water_alt = water_alt [ chunk_idx ] ;
if neighbor_pass_idx > = 0 {
// We may be a river. But we're not sure yet, since we still could be
// underwater. Check the lake height and see if our own water height is within ε of
// it.
2019-11-22 02:55:19 +00:00
// let pass_idx = (-indirection[lake_idx]) as usize;
2019-10-16 11:39:41 +00:00
let lake_water_alt = water_alt [ lake_idx ] ;
if chunk_water_alt = = lake_water_alt {
// Not a river.
// Check whether we we are the lake side of the pass.
// NOTE: Safe because this is a lake.
let ( neighbor_pass_pos , river_spline_derivative ) = if pass_idx = = chunk_idx
/* true */
{
// This is a pass, so set our flow direction to point to the neighbor pass
// rather than downhill.
// NOTE: Safe because neighbor_pass_idx >= 0.
(
2019-11-22 02:55:19 +00:00
uniform_idx_as_vec2 ( downhill_idx ) ,
// uniform_idx_as_vec2(neighbor_pass_idx as usize),
2019-10-16 11:39:41 +00:00
river_spline_derivative ,
)
} else {
// Try pointing towards the lake side of the pass.
( uniform_idx_as_vec2 ( pass_idx ) , river_spline_derivative )
} ;
let mut lake = & mut rivers [ chunk_idx ] ;
lake . spline_derivative = river_spline_derivative ;
lake . river_kind = Some ( RiverKind ::Lake {
neighbor_pass_pos : neighbor_pass_pos
* TerrainChunkSize ::RECT_SIZE . map ( | e | e as i32 ) ,
} ) ;
continue ;
}
// Otherwise, we must be a river.
} else {
// We are flowing into the ocean.
debug_assert! ( neighbor_pass_idx = = - 2 ) ;
// But we are not the ocean, so we must be a river.
}
// Now, we know we are a river *candidate*. We still don't know whether we are actually a
// river, though. There are two ways for that to happen:
// (i) We are already a river.
// (ii) Using the Gauckler– Manning– Strickler formula for cross-sectional average velocity
// of water, we establish that the river can be "big enough" to appear on the Veloren
// map.
//
// This is very imprecise, of course, and (ii) may (and almost certainly will) change over
// time.
//
// In both cases, we preemptively set our child to be a river, to make sure we have an
// unbroken stream. Also in both cases, we go to the effort of computing an effective
// water velocity vector and cross-sectional dimensions, as well as figuring out the
// derivative of our interpolating spline (since this percolates through the whole river
// network).
let downhill_water_alt = water_alt [ downhill_idx ] ;
let neighbor_distance = neighbor_dim . magnitude ( ) ;
2019-11-19 18:34:52 +00:00
let dz = ( downhill_water_alt - chunk_water_alt ) / height_scale as f32 ; // * CONFIG.mountain_scale;
2019-10-16 11:39:41 +00:00
let slope = dz . abs ( ) as f64 / neighbor_distance ;
if slope = = 0.0 {
// This is not a river--how did this even happen?
let pass_idx = ( - indirection_idx ) as usize ;
log ::error! ( " Our chunk (and downhill, lake, pass, neighbor_pass): {:?} (to {:?}, in {:?} via {:?} to {:?}), chunk water alt: {:?}, lake water alt: {:?} " ,
uniform_idx_as_vec2 ( chunk_idx ) ,
uniform_idx_as_vec2 ( downhill_idx ) ,
uniform_idx_as_vec2 ( lake_idx ) ,
uniform_idx_as_vec2 ( pass_idx ) ,
if neighbor_pass_idx > = 0 { Some ( uniform_idx_as_vec2 ( neighbor_pass_idx as usize ) ) } else { None } ,
water_alt [ chunk_idx ] ,
water_alt [ lake_idx ] ) ;
panic! ( " Should this happen at all? " ) ;
}
let slope_sqrt = slope . sqrt ( ) ;
// Now, we compute a quantity that is proportional to the velocity of the chunk, derived
// from the Manning formula, equal to
// volumetric_flow_rate / slope_sqrt * CONFIG.river_roughness.
let almost_velocity = volumetric_flow_rate / slope_sqrt * CONFIG . river_roughness as f64 ;
// From this, we can figure out the width of the chunk if we know the height. For now, we
// hardcode the height to 0.5, but it should almost certainly be much more complicated than
// this.
// let mut height = 0.5f32;
// We approximate the river as a rectangular prism. Theoretically, we need to solve the
// following quintic equation to determine its width from its height:
//
// h^5 * w^5 = almost_velocity^3 * (w + 2 * h)^2.
//
// This is because one of the quantities in the Manning formula (the unknown) is R_h =
// (area of cross-section / h)^(2/3).
//
// Unfortunately, quintic equations do not in general have algebraic solutions, and it's
// not clear (to me anyway) that this one does in all cases.
//
// In practice, for high ratios of width to height, we can approximate the rectangular
// prism's perimeter as equal to its width, so R_h as equal to height. This greatly
// simplifies the calculation. For simplicity, we do this even for low ratios of width to
// height--I found that for most real rivers, at least big ones, this approximation is
// "good enough." We don't need to be *that* realistic :P
//
// NOTE: Derived from a paper on estimating river width.
let mut width = 5.0
* ( CONFIG . river_width_to_depth as f64
* ( CONFIG . river_width_to_depth as f64 + 2.0 ) . powf ( 2.0 / 3.0 ) )
. powf ( 3.0 / 8.0 )
* volumetric_flow_rate . powf ( 3.0 / 8.0 )
* slope . powf ( - 3.0 / 16.0 )
* ( CONFIG . river_roughness as f64 ) . powf ( 3.0 / 8.0 ) ;
width = width . max ( 0.0 ) ;
let mut height = if width = = 0.0 {
CONFIG . river_min_height as f64
} else {
( almost_velocity / width ) . powf ( 3.0 / 5.0 )
} ;
// We can now weight the river's drainage by its direction, which we use to help improve
// the slope of the downhill node.
let river_direction = Vec3 ::new (
neighbor_dim . x ,
neighbor_dim . y ,
( dz as f64 ) . signum ( ) * ( dz as f64 ) ,
) ;
// Now, we can check whether this is "really" a river.
// Currently, we just check that width and height are at least 0.5 and
// CONFIG.river_min_height.
let river = & rivers [ chunk_idx ] ;
let is_river = river . is_river ( ) | | width > = 0.5 & & height > = CONFIG . river_min_height as f64 ;
let mut downhill_river = & mut rivers [ downhill_idx ] ;
if is_river {
// Provisionally make the downhill chunk a river as well.
downhill_river . river_kind = Some ( RiverKind ::River {
cross_section : Vec2 ::default ( ) ,
} ) ;
// Additionally, if the cross-sectional area for this river exceeds the max river
// width, the river is overflowing the two chunks adjacent to it, which we'd prefer to
// avoid since only its two immediate neighbors (orthogonal to the downhill direction)
// are guaranteed uphill of it.
// Solving this properly most likely requires modifying the erosion model to
// take channel width into account, which is a formidable task that likely requires
// rethinking the current grid-based erosion model (or at least, requires tracking some
// edges that aren't implied by the grid graph). For now, we will solve this problem
// by making the river deeper when it hits the max width, until it consumes all the
// available energy in this part of the river.
let max_width = TerrainChunkSize ::RECT_SIZE . x as f64 * CONFIG . river_max_width as f64 ;
if width > max_width {
width = max_width ;
height = ( almost_velocity / width ) . powf ( 3.0 / 5.0 ) ;
}
}
// Now we can compute the river's approximate velocity magnitude as well, as
let velocity_magnitude =
1.0 / CONFIG . river_roughness as f64 * height . powf ( 2.0 / 3.0 ) * slope_sqrt ;
// Set up the river's cross-sectional area.
let cross_section = Vec2 ::new ( width as f32 , height as f32 ) ;
// Set up the river's velocity vector.
let mut velocity = river_direction ;
velocity . normalize ( ) ;
velocity * = velocity_magnitude ;
let mut river = & mut rivers [ chunk_idx ] ;
// NOTE: Not trying to do this more cleverly because we want to keep the river's neighbors.
// TODO: Actually put something in the neighbors.
river . velocity = velocity . map ( | e | e as f32 ) ;
river . spline_derivative = river_spline_derivative ;
river . river_kind = if is_river {
Some ( RiverKind ::River { cross_section } )
} else {
None
} ;
}
rivers
}
/// Precompute the maximum slope at all points.
///
/// TODO: See if allocating in advance is worthwhile.
2019-11-19 18:34:52 +00:00
fn get_max_slope ( h : & [ f32 ] , rock_strength_nz : & ( impl NoiseFn < Point3 < f64 > > + Sync ) ) -> Box < [ f64 ] > {
2019-12-03 01:07:44 +00:00
const MIN_MAX_ANGLE : f64 = 15.0 /* 6.0 */ /* 30.0 */ /* 6.0 */ /* 15.0 */ / 360.0 * 2.0 * f64 ::consts ::PI ;
const MAX_MAX_ANGLE : f64 = 60.0 /* 54.0 */ /* 50.0 */ /* 54.0 */ /* 45.0 */ / 360.0 * 2.0 * f64 ::consts ::PI ;
2019-10-16 11:39:41 +00:00
const MAX_ANGLE_RANGE : f64 = MAX_MAX_ANGLE - MIN_MAX_ANGLE ;
2019-11-19 18:34:52 +00:00
let height_scale = 1.0 ; // 1.0 / CONFIG.mountain_scale as f64;
2019-10-16 11:39:41 +00:00
h . par_iter ( )
. enumerate ( )
. map ( | ( posi , & z ) | {
2019-11-19 18:34:52 +00:00
let wposf = uniform_idx_as_vec2 ( posi ) . map ( | e | e as f64 ) * TerrainChunkSize ::RECT_SIZE . map ( | e | e as f64 ) ;
let wposz = z as f64 / height_scale ; // * CONFIG.mountain_scale as f64;
2019-10-16 11:39:41 +00:00
// Normalized to be between 6 and and 54 degrees.
2019-12-03 01:07:44 +00:00
let div_factor = /* 32.0 */ /* 16.0 */ /* 64.0 */ /* 256.0 */ 8.0 /* 8.0 */ /* 1.0 */ /* 4.0 */ * /* 1.0 */ 16.0 /* TerrainChunkSize::RECT_SIZE.x as f64 / 8.0 */ ;
2019-10-16 11:39:41 +00:00
let rock_strength = rock_strength_nz
2019-11-11 17:14:58 +00:00
. get ( [
wposf . x , /* / div_factor */
wposf . y , /* / div_factor */
2019-11-19 18:34:52 +00:00
wposz * div_factor ,
] ) ;
/* if rock_strength < -1.0 || rock_strength > 1.0 {
println! ( " Nooooo: {:?} " , rock_strength ) ;
} * /
let rock_strength = rock_strength
2019-10-16 11:39:41 +00:00
. max ( - 1.0 )
. min ( 1.0 )
* 0.5
+ 0.5 ;
// Powering rock_strength^((1.25 - z)^6) means the maximum angle increases with z, but
// not too fast. At z = 0.25 the angle is not affected at all, below it the angle is
// lower, and above it the angle is higher.
//
// Logistic regression. Make sure x ∈ (0, 1).
let logit = | x : f64 | x . ln ( ) - ( - x ) . ln_1p ( ) ;
// 0.5 + 0.5 * tanh(ln(1 / (1 - 0.1) - 1) / (2 * (sqrt(3)/pi)))
let logistic_2_base = 3.0 f64 . sqrt ( ) * f64 ::consts ::FRAC_2_PI ;
// Assumes μ = 0, σ = 1
let logistic_cdf = | x : f64 | ( x / logistic_2_base ) . tanh ( ) * 0.5 + 0.5 ;
// We do log-odds against center, so that our log odds are 0 when x = 0.25, lower when x is
// lower, and higher when x is higher.
//
2019-11-19 18:34:52 +00:00
// (NOTE: below sea level, we invert it).
//
2019-10-16 11:39:41 +00:00
// TODO: Make all this stuff configurable... but honestly, it's so complicated that I'm not
// sure anyone would be able to usefully tweak them on a per-map basis? Plus it's just a
// hacky heuristic anyway.
2019-12-03 01:07:44 +00:00
let center = /* 0.25 */ 0.4 ;
2019-11-20 10:33:53 +00:00
let dmin = center - /* 0.15; / / 0.05 */ 0.05 ;
2019-12-03 01:07:44 +00:00
let dmax = center + /* 0.05 */ /* 0.10 */ 0.05 ; //0.05;
2019-10-16 11:39:41 +00:00
let log_odds = | x : f64 | logit ( x ) - logit ( center ) ;
let rock_strength = logistic_cdf (
1.0 * logit ( rock_strength . min ( 1.0 f64 - 1e-7 ) . max ( 1e-7 ) )
2019-11-19 18:34:52 +00:00
+ 1.0 * log_odds ( ( wposz / CONFIG . mountain_scale as f64 ) . abs ( ) . min ( dmax ) . max ( dmin ) ) ,
2019-10-16 11:39:41 +00:00
) ;
2019-11-19 18:34:52 +00:00
// let rock_strength = 0.5;
2019-10-16 11:39:41 +00:00
let max_slope = ( rock_strength * MAX_ANGLE_RANGE + MIN_MAX_ANGLE ) . tan ( ) ;
2019-12-03 01:07:44 +00:00
// let max_slope = /*30.0.to_radians().tan();*/3.0.sqrt() / 3.0;
2019-11-19 18:34:52 +00:00
max_slope
2019-10-16 11:39:41 +00:00
} )
. collect ::< Vec < _ > > ( )
. into_boxed_slice ( )
}
/// Erode all chunks by amount.
///
/// Our equation is:
///
/// dh(p) / dt = uplift(p)− k * A(p)^m * slope(p)^n
///
/// where A(p) is the drainage area at p, m and n are constants
2019-12-03 01:07:44 +00:00
/// (we choose m = 0.4 and n = 1), and k is a constant. We choose
2019-10-16 11:39:41 +00:00
///
/// k = 2.244 * uplift.max() / (desired_max_height)
///
/// since this tends to produce mountains of max height desired_max_height; and we set
/// desired_max_height = 1.0 to reflect limitations of mountain scale.
///
/// This algorithm does this in four steps:
///
/// 1. Sort the nodes in h by height (so the lowest node by altitude is first in the
/// list, and the highest node by altitude is last).
/// 2. Iterate through the list in *reverse.* For each node, we compute its drainage area as
/// the sum of the drainage areas of its "children" nodes (i.e. the nodes with directed edges to
/// this node). To do this efficiently, we start with the "leaves" (the highest nodes), which
/// have no neighbors higher than them, hence no directed edges to them. We add their area to
/// themselves, and then to all neighbors that they flow into (their "ancestors" in the flow
/// graph); currently, this just means the node immediately downhill of this node.
/// As we go lower, we know that all our "children" already had their areas computed, which
/// means that we can repeat the process in order to derive all the final areas.
/// 3. Now, iterate through the list in *order.* Whether we used the filling method to compute a
/// "filled" version of each depression, or used the lake connection algoirthm described in [1],
/// each node is guaranteed to have zero or one drainage edges out, representing the direction
/// of water flow for that node. For nodes i with zero drainage edges out (boundary nodes and
/// lake bottoms) we set the slope to 0 (so the change in altitude is uplift(i))
/// For nodes with at least one drainage edge out, we take advantage of the fact that we are
/// computing new heights in order and rewrite our equation as (letting j = downhill[i], A[i]
/// be the computed area of point i, p(i) be the x-y position of point i,
/// flux(i) = k * A[i]^m / ((p(i) - p(j)).magnitude()), and δt = 1):
///
/// h[i](t + dt) = h[i](t) + δt * (uplift[i] + flux(i) * h[j](t + δt)) / (1 + flux(i) * δt).
///
/// Since we compute heights in ascending order by height, and j is downhill from i, h[j] will
/// always be the *new* h[j](t + δt), while h[i] will still not have been computed yet, so we
/// only need to visit each node once.
///
2019-11-19 18:34:52 +00:00
/// Afterwards, we also apply a hillslope diffusion process using an ADI (alternating direction
/// implicit) method:
///
/// https://github.com/fastscape-lem/fastscapelib-fortran/blob/master/src/Diffusion.f90
///
2019-12-03 01:07:44 +00:00
/// We also borrow the implementation for sediment transport from
///
/// https://github.com/fastscape-lem/fastscapelib-fortran/blob/master/src/StreamPowerLaw.f90
///
2019-10-16 11:39:41 +00:00
/// [1] Guillaume Cordonnier, Jean Braun, Marie-Paule Cani, Bedrich Benes, Eric Galin, et al..
/// Large Scale Terrain Generation from Tectonic Uplift and Fluvial Erosion.
/// Computer Graphics Forum, Wiley, 2016, Proc. EUROGRAPHICS 2016, 35 (2), pp.165-175.
/// ⟨10.1111/cgf.12820⟩. ⟨hal-01262376⟩
///
2019-11-19 18:34:52 +00:00
///
2019-10-16 11:39:41 +00:00
fn erode (
h : & mut [ f32 ] ,
2019-11-19 18:34:52 +00:00
b : & mut [ f32 ] ,
2019-11-20 10:33:53 +00:00
wh : & mut [ f32 ] ,
2019-11-19 18:34:52 +00:00
is_done : & mut BitBox ,
done_val : bool ,
2019-10-16 11:39:41 +00:00
erosion_base : f32 ,
max_uplift : f32 ,
2019-12-03 01:07:44 +00:00
max_g : f32 ,
2019-11-19 18:34:52 +00:00
kdsed : f64 ,
2019-10-16 11:39:41 +00:00
_seed : & RandomField ,
rock_strength_nz : & ( impl NoiseFn < Point3 < f64 > > + Sync ) ,
2019-12-03 01:07:44 +00:00
uplift : impl Fn ( usize ) -> f32 + Sync ,
kf : impl Fn ( usize ) -> f32 ,
kd : impl Fn ( usize ) -> f32 ,
g : impl Fn ( usize ) -> f32 + Sync ,
2019-10-16 11:39:41 +00:00
is_ocean : impl Fn ( usize ) -> bool + Sync ,
) {
2019-11-23 14:34:03 +00:00
log ::debug! ( " Done draining... " ) ;
2019-11-19 18:34:52 +00:00
let height_scale = 1.0 ; // 1.0 / CONFIG.mountain_scale as f64;
let mmaxh = CONFIG . mountain_scale as f64 * height_scale ;
2019-11-22 02:55:19 +00:00
// Minimum sediment thickness before we treat erosion as sediment based.
let sediment_thickness = 1.0 ;
2019-11-19 18:34:52 +00:00
// Since maximum uplift rate is expected to be 5.010e-4 m * y^-1, and
// 1.0 height units is 1.0 / height_scale m, whatever the
// max uplift rate is (in units / y), we can find dt by multiplying by
// 1.0 / height_scale m / unit and then dividing by 5.010e-4 m / y
// (to get dt in y / unit). More formally:
//
// max_uplift h_unit / dt y = 5.010e-4 m / y
//
// 1 h_unit = 1.0 / height_scale m
//
// max_uplift h_unit / dt * 1.0 / height_scale m / h_unit =
// max_uplift / height_scale m / dt =
// 5.010e-4 m / y
//
// max_uplift / height_scale m / dt / (5.010e-4 m / y) = 1
// (max_uplift / height_scale / 5.010e-4) y = dt
2019-12-03 01:07:44 +00:00
// 5e-7
let dt = max_uplift as f64 / height_scale /* * CONFIG.mountain_scale as f64 */ / /* 5.010e-4 */ 1e-3 ;
2019-11-19 18:34:52 +00:00
println! ( " dt= {:?} " , dt ) ;
// Landslide constant: ideally scaled to 10e-2 m / y^-1
2019-11-20 10:33:53 +00:00
let l = /* 200.0 * max_uplift as f64; */ 1.0e-2 /* / CONFIG.mountain_scale as f64 */ * height_scale * dt ;
2019-11-19 18:34:52 +00:00
// Net precipitation rate (m / year)
let p = 1.0 * height_scale ;
2019-12-03 01:07:44 +00:00
let m = 0.4 ;
2019-11-19 18:34:52 +00:00
// Stream power erosion constant (bedrock), in m^(1-2m) / year (times dt).
let k_fb = // erosion_base as f64 + 2.244 / mmaxh as f64 * max_uplift as f64;
// 2.244*(5.010e-4)/512*5- (1.097e-5)
// 2.244*(5.010e-4)/2048*5- (1.097e-5)
// 2.244*(5.010e-4)/512- (8e-6)
// 2.244*(5.010e-4)/512- (2e-6)
// 2e-6 * dt;
// 8e-6 * dt
// 2e-5 * dt;
// 2.244/2048*5*32/(250000/4)*10^6
2019-11-20 10:33:53 +00:00
// ln(tan(30/360*2*pi))-ln(tan(6/360*2*pi))*1500 = 3378
2019-12-03 01:07:44 +00:00
//erosion_base as f64 + 2.244 / mmaxh as f64 * /*10.0*//*5.0*//*9.0*//*7.5*//*5.0*//*2.5*//*1.5*//*5.0*//*1.0*//*1.5*//*2.5*//*3.75*/ * max_uplift as f64;
// 2.5e-6 * dt;
2e-5 * dt ;
// see http://geosci.uchicago.edu/~kite/doc/Whipple_and_Tucker_1999.pdf
//5e-6 * dt; // 2e-5 was designed for steady state uplift of 2mm / y whih would amount to 500 m / 250,000 y.
2019-11-19 18:34:52 +00:00
// (2.244*(5.010e-4)/512)/(2.244*(5.010e-4)/2500) = 4.88...
// 2.444 * 5
// Stream power erosion constant (sediment), in m^(1-2m) / year (times dt).
2019-12-03 01:07:44 +00:00
let k_fs_mult = 2.0 ; /* 1.5 */ ;
// let k_fs = k_fb * 1.0/*1.5*//*2.0*//*2.0*//*4.0*/;
2019-11-25 03:47:33 +00:00
// u = k * h_max / 2.244
// let uplift_scale = erosion_base as f64 + (k_fb * mmaxh / 2.244 / 5.010e-4 as f64 * mmaxh as f64) * dt;
2019-12-03 01:07:44 +00:00
let ( ( dh , indirection , newh , maxh , area ) , ( mut max_slopes , ht ) ) = rayon ::join (
2019-10-16 11:39:41 +00:00
| | {
2019-12-03 01:07:44 +00:00
let mut dh = downhill ( h , | posi | is_ocean ( posi ) & & h [ posi ] < = 0.0 ) ;
2019-11-23 14:34:03 +00:00
log ::debug! ( " Computed downhill... " ) ;
2019-12-03 01:07:44 +00:00
let ( boundary_len , indirection , newh , maxh ) = get_lakes ( & h , & mut dh ) ;
2019-11-23 14:34:03 +00:00
log ::debug! ( " Got lakes... " ) ;
2019-10-16 11:39:41 +00:00
let area = get_drainage ( & newh , & dh , boundary_len ) ;
2019-11-23 14:34:03 +00:00
log ::debug! ( " Got flux... " ) ;
2019-12-03 01:07:44 +00:00
( dh , indirection , newh , maxh , area )
2019-10-16 11:39:41 +00:00
} ,
| | {
2019-12-03 01:07:44 +00:00
rayon ::join (
| | {
let max_slope = get_max_slope ( h , rock_strength_nz ) ;
log ::debug! ( " Got max slopes... " ) ;
max_slope
} ,
| | {
// Store the elevation at t
h . to_vec ( ) . into_boxed_slice ( )
} ,
)
2019-10-16 11:39:41 +00:00
} ,
) ;
assert! ( h . len ( ) = = dh . len ( ) & & dh . len ( ) = = area . len ( ) ) ;
// max angle of slope depends on rock strength, which is computed from noise function.
let neighbor_coef = TerrainChunkSize ::RECT_SIZE . map ( | e | e as f64 ) ;
let chunk_area = neighbor_coef . x * neighbor_coef . y ;
2019-11-22 02:55:19 +00:00
// TODO: Make more principled.
2019-12-03 01:07:44 +00:00
let mid_slope = ( 30.0 / 360.0 * 2.0 * f64 ::consts ::PI ) . tan ( ) ; //1.0;
let mut lake_water_volume = vec! [ /* -1i32 */ 0.0 f64 ; WORLD_SIZE . x * WORLD_SIZE . y ] . into_boxed_slice ( ) ;
let mut elev = vec! [ /* -1i32 */ 0.0 f64 ; WORLD_SIZE . x * WORLD_SIZE . y ] . into_boxed_slice ( ) ;
let mut hp = vec! [ /* -1i32 */ 0.0 f64 ; WORLD_SIZE . x * WORLD_SIZE . y ] . into_boxed_slice ( ) ;
let mut deltah = vec! [ /* -1i32 */ 0.0 f64 ; WORLD_SIZE . x * WORLD_SIZE . y ] . into_boxed_slice ( ) ;
// calculate the elevation / SPL, including sediment flux
let tol = 1.0e-4 f64 * ( maxh as f64 + 1.0 ) ;
let mut err = 2.0 * tol ;
// Some variables for tracking statistics, currently only for debugging purposes.
2019-10-16 11:39:41 +00:00
let mut maxh = 0.0 ;
let mut nland = 0 usize ;
let mut sums = 0.0 ;
let mut sumh = 0.0 ;
2019-12-03 01:07:44 +00:00
let mut ntherm = 0 usize ;
// Gauss-Seidel iteration
let mut lake_sediment = vec! [ /* -1i32 */ 0.0 f64 ; WORLD_SIZE . x * WORLD_SIZE . y ] . into_boxed_slice ( ) ;
let mut lake_sill = vec! [ /* -1i32 */ - 1 isize ; WORLD_SIZE . x * WORLD_SIZE . y ] . into_boxed_slice ( ) ;
let mut n_gs_stream_power_law = 0 ;
while err > tol & & n_gs_stream_power_law < 99 {
log ::info! ( " Stream power iteration #{:?} " , n_gs_stream_power_law ) ;
// Reset statistics in each loop.
maxh = 0.0 ;
nland = 0 usize ;
sums = 0.0 ;
sumh = 0.0 ;
ntherm = 0 usize ;
// Keep track of how many iterations we've gone to test for convergence.
n_gs_stream_power_law + = 1 ;
rayon ::join (
| | {
// guess/update the elevation at t+Δt (k)
hp . par_iter_mut ( ) . zip ( h . par_iter ( ) ) . for_each ( | ( mut hp , h ) | {
* hp = * h as f64 ;
} ) ;
} ,
| | {
// calculate erosion/deposition at each node
deltah . par_iter_mut ( ) . enumerate ( ) . for_each ( | ( posi , mut deltah ) | {
* deltah = ( ht [ posi ] - h [ posi ] ) as f64 ;
} ) ;
} ,
) ;
// sum the erosion in stack order
for & posi in newh . iter ( ) . rev ( ) {
let posi = posi as usize ;
let posj = dh [ posi ] ;
if posj < 0 {
lake_sediment [ posi ] = deltah [ posi ] ;
} else {
let posj = posj as usize ;
deltah [ posi ] - = ( ht [ posi ] as f64 - hp [ posi ] ) ;
let lposi = lake_sill [ posi ] ;
if lposi = = posi as isize {
if deltah [ posi ] < = 0.0 {
lake_sediment [ posi ] = 0.0 ;
} else {
lake_sediment [ posi ] = deltah [ posi ] ;
}
}
deltah [ posi ] + = ht [ posi ] as f64 - hp [ posi ] ;
deltah [ posj ] + = deltah [ posi ] ;
2019-10-16 11:39:41 +00:00
}
2019-12-03 01:07:44 +00:00
}
// do ij=nn,1,-1
// ijk=stack(ij)
// ijr=rec(ijk)
// if (ijr.ne.ijk) then
// dh(ijk)=dh(ijk)-(ht(ijk)-hp(ijk))
// if (lake_sill(ijk).eq.ijk) then
// if (dh(ijk).le.0.d0) then
// lake_sediment(ijk)=0.d0
// else
// lake_sediment(ijk)=dh(ijk)
// endif
// endif
// dh(ijk)=dh(ijk)+(ht(ijk)-hp(ijk))
// dh(ijr)=dh(ijr)+dh(ijk)
// else
// lake_sediment(ijk)=dh(ijk)
// endif
// enddo
elev . par_iter_mut ( ) . enumerate ( ) . for_each ( | ( posi , mut elev ) | {
if dh [ posi ] < 0 {
* elev = ht [ posi ] as f64 ;
2019-11-19 18:34:52 +00:00
} else {
2019-12-03 01:07:44 +00:00
* elev = ht [ posi ] as f64 + ( deltah [ posi ] - ( ht [ posi ] as f64 - hp [ posi ] ) ) * g ( posi ) as f64 / area [ posi ] as f64 ;
}
} ) ;
2019-11-22 02:55:19 +00:00
2019-12-03 01:07:44 +00:00
// Iterate in ascending height order.
let mut sum_err = 0.0 f64 ;
for & posi in & * newh {
let posi = posi as usize ;
let posj = dh [ posi ] ;
if posj < 0 {
if posj = = - 1 {
panic! ( " Disconnected lake! " ) ;
2019-11-20 10:33:53 +00:00
}
2019-12-03 01:07:44 +00:00
// wh for oceans is always 0.
wh [ posi ] = 0.0 ;
lake_sill [ posi ] = posi as isize ;
lake_water_volume [ posi ] = 0.0 ;
// max_slopes[posi] = kd(posi);
// Egress with no outgoing flows.
2019-11-19 18:34:52 +00:00
} else {
2019-12-03 01:07:44 +00:00
// *is_done.at(posi) = done_val;
let posj = posj as usize ;
let dxy = ( uniform_idx_as_vec2 ( posi ) - uniform_idx_as_vec2 ( posj ) ) . map ( | e | e as f64 ) ;
// Has an outgoing flow edge (posi, posj).
// flux(i) = k * A[i]^m / ((p(i) - p(j)).magnitude()), and δt = 1
let neighbor_distance = ( neighbor_coef * dxy ) . magnitude ( ) ;
// Since the area is in meters^(2m) and neighbor_distance is in m, so long as m = 0.5,
// we have meters^(1) / meters^(1), so they should cancel out. Otherwise, we would
// want to multiply neighbor_distance by height_scale and area[posi] by
// height_scale^2, to make sure we were working in the correct units for dz
// (which has height_scale height unit = 1.0 meters).
let old_h_i = /* h */ elev [ posi ] as f64 ;
let old_b_i = b [ posi ] as f64 ;
let uplift_i = uplift ( posi ) as f64 ;
assert! ( uplift_i . is_normal ( ) & & uplift_i = = 0.0 | | uplift_i . is_positive ( ) ) ;
// h[i](t + dt) = (h[i](t) + δt * (uplift[i] + flux(i) * h[j](t + δt))) / (1 + flux(i) * δt).
// NOTE: posj has already been computed since it's downhill from us.
// Therefore, we can rely on wh being set to the water height for that node.
let h_j = h [ posj ] as f64 ;
let wh_j = wh [ posj ] as f64 ;
let mut new_h_i = old_h_i + uplift_i ;
// Only perform erosion if we are above the water level of the previous node.
if new_h_i > wh_j {
// hi(t + ∂t) = (hi(t) + ∂t(ui + kp^mAi^m(hj(t + ∂t)/||pi - pj||))) / (1 + ∂t * kp^mAi^m / ||pi - pj||)
let k = if ( old_h_i - old_b_i as f64 ) > sediment_thickness {
// Sediment
// k_fs
k_fs_mult * kf ( posi ) as f64
} else {
// Bedrock
// k_fb
kf ( posi ) as f64
} * dt ;
// let k = k * uplift_i / max_uplift as f64;
let flux = k * ( p * chunk_area * area [ posi ] as f64 ) . powf ( m ) / neighbor_distance ;
assert! ( flux . is_normal ( ) & & flux . is_positive ( ) ) ;
new_h_i = ( new_h_i + flux * h_j ) / ( 1.0 + flux ) ;
lake_sill [ posi ] = posi as isize ;
lake_water_volume [ posi ] = 0.0 ;
// If we dipped below the receiver's water level, set our height to the receiver's
// water level.
if new_h_i < = wh_j {
new_h_i = wh_j ;
} else {
let dz = ( new_h_i - /* h_j */ /* h_k */ wh_j ) . max ( 0.0 ) / height_scale /* * CONFIG.mountain_scale as f64 */ ;
let mag_slope = dz /* .abs() */ / neighbor_distance ;
nland + = 1 ;
sumh + = new_h_i ;
sums + = mag_slope ;
}
2019-11-20 10:33:53 +00:00
} else {
2019-12-03 01:07:44 +00:00
let lposj = lake_sill [ posj ] ;
lake_sill [ posi ] = lposj ;
if lposj > = 0 {
let lposj = lposj as usize ;
lake_water_volume [ lposj ] + = wh_j - new_h_i ;
}
}
// Set max_slope to this node's water height (max of receiver's water height and
// this node's height).
wh [ posi ] = wh_j . max ( new_h_i ) as f32 ;
// Prevent erosion from dropping us below our receiver, unless we were already below it.
// new_h_i = h_j.min(old_h_i + uplift_i).max(new_h_i);
// Find out if this is a lake bottom.
/* let indirection_idx = indirection[posi];
let is_lake_bottom = indirection_idx < 0 ;
let _fake_neighbor = is_lake_bottom & & dxy . x . abs ( ) > 1.0 & & dxy . y . abs ( ) > 1.0 ;
// Test the slope.
let max_slope = max_slopes [ posi ] as f64 ;
// Hacky version of thermal erosion: only consider lowest neighbor, don't redistribute
// uplift to other neighbors.
let ( posk , h_k ) = /* neighbors(posi)
. filter ( | & posk | * is_done . at ( posk ) = = done_val )
// .filter(|&posk| *is_done.at(posk) == done_val || is_ocean(posk))
. map ( | posk | ( posk , h [ posk ] as f64 ) )
// .filter(|&(posk, h_k)| *is_done.at(posk) == done_val || h_k < 0.0)
. min_by ( | & ( _ , a ) , & ( _ , b ) | a . partial_cmp ( & b ) . unwrap ( ) )
. unwrap_or ( ( posj , h_j ) ) ; * /
( posj , h_j ) ;
// .max(h_j);
let ( posk , h_k ) = if h_k < h_j {
( posk , h_k )
} else {
( posj , h_j )
} ;
let dxy = ( uniform_idx_as_vec2 ( posi ) - uniform_idx_as_vec2 ( posk ) ) . map ( | e | e as f64 ) ;
let neighbor_distance = ( neighbor_coef * dxy ) . magnitude ( ) ;
let dz = ( new_h_i - /* h_j */ h_k ) . max ( 0.0 ) / height_scale /* * CONFIG.mountain_scale as f64 */ ;
let mag_slope = dz /* .abs() */ / neighbor_distance ; * /
// If you're on the lake bottom and not right next to your neighbor, don't compute a
// slope.
if
/* !is_lake_bottom */ /* !fake_neighbor */
true {
/* if
/* !is_lake_bottom && */
mag_slope > max_slope {
// println!("old slope: {:?}, new slope: {:?}, dz: {:?}, h_j: {:?}, new_h_i: {:?}", mag_slope, max_slope, dz, h_j, new_h_i);
// Thermal erosion says this can't happen, so we reduce dh_i to make the slope
// exactly max_slope.
// max_slope = (old_h_i + dh - h_j) / height_scale/* * CONFIG.mountain_scale */ / NEIGHBOR_DISTANCE
// dh = max_slope * NEIGHBOR_DISTANCE * height_scale/* / CONFIG.mountain_scale */ + h_j - old_h_i.
let dh = max_slope * neighbor_distance * height_scale /* / CONFIG.mountain_scale as f64 */ ;
new_h_i = /* h_j.max */ ( h_k + dh ) . max ( new_h_i - l * ( mag_slope - max_slope ) ) ;
let dz = ( new_h_i - /* h_j */ h_k ) . max ( 0.0 ) / height_scale /* * CONFIG.mountain_scale as f64 */ ;
let slope = dz /* .abs() */ / neighbor_distance ;
sums + = slope ;
/* max_slopes[posi] = /* (mag_slope - max_slope) * */ kd(posi);
sums + = mag_slope ; * /
// let slope = dz.signum() * max_slope;
// new_h_i = slope * neighbor_distance * height_scale /* / CONFIG.mountain_scale as f64 */ + h_j;
// sums += max_slope;
} else {
// max_slopes[posi] = 0.0;
sums + = mag_slope ;
// Just use the computed rate.
} * /
h [ posi ] = new_h_i as f32 ;
// Make sure to update the basement as well!
// b[posi] = (old_b_i + uplift_i).min(new_h_i) as f32;
}
2019-11-20 10:33:53 +00:00
}
2019-12-03 01:07:44 +00:00
// *is_done.at(posi) = done_val;
maxh = h [ posi ] . max ( maxh ) ;
// Add sum of squares of errors.
sum_err + = ( h [ posi ] as f64 - hp [ posi ] ) . powi ( 2 ) ;
}
err = ( sum_err / newh . len ( ) as f64 ) . sqrt ( ) ;
if max_g = = 0.0 {
err = 0.0 ;
}
if n_gs_stream_power_law = = 99 {
log ::warn! ( " Beware: Gauss-Siedel scheme not convergent " ) ;
2019-11-20 10:33:53 +00:00
}
}
2019-12-03 01:07:44 +00:00
//b=min(h,b)
// update the basement
b . par_iter_mut ( ) . zip ( h . par_iter ( ) ) . enumerate ( ) . for_each ( | ( posi , ( mut b , h ) ) | {
let old_b_i = * b ;
let uplift_i = uplift ( posi ) ;
* b = ( old_b_i + uplift_i ) . min ( * h ) ;
} ) ;
// update the height to reflect sediment flux.
h . par_iter_mut ( ) . enumerate ( ) . for_each ( | ( posi , mut h ) | {
let lposi = lake_sill [ posi ] ;
if lposi > = 0 {
let lposi = lposi as usize ;
if lake_water_volume [ lposi ] > 0.0 {
// +max(0.d0,min(lake_sediment(lake_sill(ij)),lake_water_volume(lake_sill(ij))))/
// lake_water_volume(lake_sill(ij))*(water(ij)-h(ij))
* h + =
( 0. 0. max ( lake_sediment [ lposi ] . min ( lake_water_volume [ lposi ] ) ) /
lake_water_volume [ lposi ] *
( wh [ posi ] - * h ) as f64 ) as f32 ;
}
}
} ) ;
// do ij=1,nn
// if (lake_sill(ij).ne.0) then
// if (lake_water_volume(lake_sill(ij)).gt.0.d0) h(ij)=h(ij) &
// +max(0.d0,min(lake_sediment(lake_sill(ij)),lake_water_volume(lake_sill(ij))))/ &
// lake_water_volume(lake_sill(ij))*(water(ij)-h(ij))
// endif
// enddo
2019-11-20 10:33:53 +00:00
log ::info! (
2019-12-03 01:07:44 +00:00
" Done applying stream power (max height: {:?}) (avg height: {:?}) (avg slope: {:?}) (num land: {:?}) (num thermal: {:?}) " ,
2019-11-20 10:33:53 +00:00
maxh ,
if nland = = 0 {
f64 ::INFINITY
} else {
sumh / nland as f64
} ,
if nland = = 0 {
f64 ::INFINITY
} else {
sums / nland as f64
} ,
2019-12-03 01:07:44 +00:00
nland ,
ntherm ,
2019-11-20 10:33:53 +00:00
) ;
// Apply thermal erosion.
maxh = 0.0 ;
sumh = 0.0 ;
2019-11-22 02:55:19 +00:00
sums = 0.0 ;
2019-12-03 01:07:44 +00:00
nland = 0 usize ;
ntherm = 0 usize ;
2019-11-20 10:33:53 +00:00
for & posi in & * newh {
let posi = posi as usize ;
let posj = dh [ posi ] ;
2019-12-03 01:07:44 +00:00
let old_h_i = /* h */ b [ posi ] as f64 ;
2019-11-22 02:55:19 +00:00
let old_b_i = b [ posi ] as f64 ;
let max_slope = max_slopes [ posi ] as f64 ;
// Remember k_d for this chunk in max_slopes.
2019-12-03 01:07:44 +00:00
let kd_factor =
// 1.0;
( 1.0 / ( max_slope / mid_slope /* .sqrt() */ /* .powf(0.03125) */ ) . powf ( /* 2.0 */ 1.0 ) ) /* .min(kdsed) */ ;
max_slopes [ posi ] = if ( old_h_i - old_b_i as f64 ) > sediment_thickness & & kdsed > 0.0 {
2019-11-22 02:55:19 +00:00
// Sediment
2019-12-03 01:07:44 +00:00
kdsed /* * kd_factor */
2019-11-22 02:55:19 +00:00
} else {
// Bedrock
2019-12-03 01:07:44 +00:00
kd ( posi ) as f64 / kd_factor
2019-11-22 02:55:19 +00:00
} ;
2019-11-20 10:33:53 +00:00
if posj < 0 {
if posj = = - 1 {
panic! ( " Disconnected lake! " ) ;
}
2019-12-03 01:07:44 +00:00
wh [ posi ] = 0.0 ;
2019-11-22 02:55:19 +00:00
// Egress with no outgoing flows.
2019-11-20 10:33:53 +00:00
} else {
let posj = posj as usize ;
// Find the water height for this chunk's receiver; we only apply thermal erosion
// for chunks above water.
let wh_j = wh [ posj ] as f64 ;
// If you're on the lake bottom and not right next to your neighbor, don't compute a
// slope.
2019-12-03 01:07:44 +00:00
let mut new_h_i = old_h_i ; //old_b_i;
2019-11-20 10:33:53 +00:00
if
/* !is_lake_bottom */ /* !fake_neighbor */
wh_j < old_h_i {
2019-12-03 01:07:44 +00:00
// NOTE: Currently assuming that talus angle is not eroded once the substance is
// totally submerged in water, and that talus angle if part of the substance is
// in water is 0 (or the same as the dry part, if this is set to wh_j), but
// actually that's probably not true.
let h_j = /* h[posj] as f64 */ wh_j ;
2019-11-22 02:55:19 +00:00
// let h_j = b[posj] as f64;
2019-11-20 10:33:53 +00:00
/* let indirection_idx = indirection[posi];
let is_lake_bottom = indirection_idx < 0 ;
let _fake_neighbor = is_lake_bottom & & dxy . x . abs ( ) > 1.0 & & dxy . y . abs ( ) > 1.0 ; * /
// Test the slope.
// Hacky version of thermal erosion: only consider lowest neighbor, don't redistribute
// uplift to other neighbors.
let ( posk , h_k ) = /* neighbors(posi)
. filter ( | & posk | * is_done . at ( posk ) = = done_val )
// .filter(|&posk| *is_done.at(posk) == done_val || is_ocean(posk))
. map ( | posk | ( posk , h [ posk ] as f64 ) )
// .filter(|&(posk, h_k)| *is_done.at(posk) == done_val || h_k < 0.0)
. min_by ( | & ( _ , a ) , & ( _ , b ) | a . partial_cmp ( & b ) . unwrap ( ) )
. unwrap_or ( ( posj , h_j ) ) ; * /
( posj , h_j ) ;
// .max(h_j);
let ( posk , h_k ) = if h_k < h_j {
( posk , h_k )
} else {
( posj , h_j )
} ;
let dxy = ( uniform_idx_as_vec2 ( posi ) - uniform_idx_as_vec2 ( posk ) ) . map ( | e | e as f64 ) ;
let neighbor_distance = ( neighbor_coef * dxy ) . magnitude ( ) ;
let dz = ( new_h_i - /* h_j */ h_k ) . max ( 0.0 ) / height_scale /* * CONFIG.mountain_scale as f64 */ ;
let mag_slope = dz /* .abs() */ / neighbor_distance ;
2019-10-16 11:39:41 +00:00
if
/* !is_lake_bottom && */
mag_slope > max_slope {
// println!("old slope: {:?}, new slope: {:?}, dz: {:?}, h_j: {:?}, new_h_i: {:?}", mag_slope, max_slope, dz, h_j, new_h_i);
// Thermal erosion says this can't happen, so we reduce dh_i to make the slope
// exactly max_slope.
2019-11-19 18:34:52 +00:00
// max_slope = (old_h_i + dh - h_j) / height_scale/* * CONFIG.mountain_scale */ / NEIGHBOR_DISTANCE
// dh = max_slope * NEIGHBOR_DISTANCE * height_scale/* / CONFIG.mountain_scale */ + h_j - old_h_i.
let dh = max_slope * neighbor_distance * height_scale /* / CONFIG.mountain_scale as f64 */ ;
new_h_i = /* h_j.max */ ( h_k + dh ) . max ( new_h_i - l * ( mag_slope - max_slope ) ) ;
2019-12-03 01:07:44 +00:00
if new_h_i < = wh_j {
new_h_i = wh_j ;
} else {
let dz = ( new_h_i - /* h_j */ /* h_k */ wh_j ) . max ( 0.0 ) / height_scale /* * CONFIG.mountain_scale as f64 */ ;
let slope = dz /* .abs() */ / neighbor_distance ;
sums + = slope ;
// max_slopes[posi] = /*(mag_slope - max_slope) * */max_slopes[posi].max(kdsed);
/* max_slopes[posi] = /* (mag_slope - max_slope) * */ kd(posi);
sums + = mag_slope ; * /
/* if kd_factor < 1.0 {
max_slopes [ posi ] / = kd_factor ;
} else {
max_slopes [ posi ] * = kd_factor ;
} * /
// max_slopes[posi] *= kd_factor;
nland + = 1 ;
sumh + = new_h_i ;
// let slope = dz.signum() * max_slope;
// new_h_i = slope * neighbor_distance * height_scale /* / CONFIG.mountain_scale as f64 */ + h_j;
// sums += max_slope;
}
ntherm + = 1 ;
2019-10-16 11:39:41 +00:00
} else {
2019-12-03 01:07:44 +00:00
/* if kd_factor < 1.0 {
max_slopes [ posi ] * = kd_factor ;
} * /
/* if (old_h_i - old_b_i as f64) <= sediment_thickness {
max_slopes [ posi ] * = kd_factor ;
} * /
// max_slopes[posi] *= kd_factor;
2019-10-16 11:39:41 +00:00
sums + = mag_slope ;
// Just use the computed rate.
2019-12-03 01:07:44 +00:00
nland + = 1 ;
sumh + = new_h_i ;
2019-10-16 11:39:41 +00:00
}
2019-12-03 01:07:44 +00:00
// h/*b*/[posi] = old_h_i.min(new_h_i) as f32;
2019-11-19 18:34:52 +00:00
// Make sure to update the basement as well!
2019-11-25 03:47:33 +00:00
// b[posi] = old_b_i.min(new_h_i) as f32;
b [ posi ] = old_b_i . min ( old_b_i + ( new_h_i - old_h_i ) ) as f32 ;
2019-12-03 01:07:44 +00:00
// sumh += new_h_i;
2019-10-16 11:39:41 +00:00
}
2019-12-03 01:07:44 +00:00
// Set wh to this node's water height (max of receiver's water height and
// this node's height).
wh [ posi ] = wh_j . max ( new_h_i ) as f32 ;
2019-10-16 11:39:41 +00:00
}
2019-12-03 01:07:44 +00:00
// *is_done.at(posi) = done_val;
2019-10-16 11:39:41 +00:00
maxh = h [ posi ] . max ( maxh ) ;
}
2019-11-19 18:34:52 +00:00
log ::debug! (
2019-12-03 01:07:44 +00:00
" Done applying thermal erosion (max height: {:?}) (avg height: {:?}) (avg slope: {:?}) (num land: {:?}) (num thermal: {:?}) " ,
2019-11-19 18:34:52 +00:00
maxh ,
if nland = = 0 {
f64 ::INFINITY
} else {
sumh / nland as f64
} ,
if nland = = 0 {
f64 ::INFINITY
} else {
sums / nland as f64
} ,
2019-12-03 01:07:44 +00:00
nland ,
ntherm ,
2019-11-19 18:34:52 +00:00
) ;
// Apply hillslope diffusion.
diffusion ( WORLD_SIZE . x , WORLD_SIZE . y ,
WORLD_SIZE . x as f64 * TerrainChunkSize ::RECT_SIZE . x as f64 * height_scale /* / CONFIG.mountain_scale as f64 */ ,
WORLD_SIZE . y as f64 * TerrainChunkSize ::RECT_SIZE . y as f64 * height_scale /* / CONFIG.mountain_scale as f64 */ ,
dt ,
( ) ,
h , b ,
2019-11-22 02:55:19 +00:00
| posi | max_slopes [ posi ] /* kd */ ,
/* kdsed */ - 1.0 ,
2019-11-19 18:34:52 +00:00
) ;
2019-12-03 01:07:44 +00:00
log ::debug! ( " Done applying diffusion. " ) ;
log ::debug! ( " Done eroding. " ) ;
2019-10-16 11:39:41 +00:00
}
/// The Planchon-Darboux algorithm for extracting drainage networks.
///
/// http://horizon.documentation.ird.fr/exl-doc/pleins_textes/pleins_textes_7/sous_copyright/010031925.pdf
///
/// See https://github.com/mewo2/terrain/blob/master/terrain.js
pub fn fill_sinks (
h : impl Fn ( usize ) -> f32 + Sync ,
is_ocean : impl Fn ( usize ) -> bool + Sync ,
) -> Box < [ f32 ] > {
// NOTE: We are using the "exact" version of depression-filling, which is slower but doesn't
// change altitudes.
2019-11-19 18:34:52 +00:00
let epsilon = /* 1.0 / (1 << 7) as f32 * height_scale /* / CONFIG.mountain_scale */ */ 0.0 ;
2019-10-16 11:39:41 +00:00
let infinity = f32 ::INFINITY ;
let range = 0 .. WORLD_SIZE . x * WORLD_SIZE . y ;
let oldh = range
. into_par_iter ( )
. map ( | posi | h ( posi ) )
. collect ::< Vec < _ > > ( )
. into_boxed_slice ( ) ;
let mut newh = oldh
. par_iter ( )
. enumerate ( )
. map ( | ( posi , & h ) | {
let is_near_edge = is_ocean ( posi ) ;
if is_near_edge {
2019-12-03 01:07:44 +00:00
debug_assert! ( h < = 0.0 ) ;
2019-10-16 11:39:41 +00:00
h
} else {
infinity
}
} )
. collect ::< Vec < _ > > ( )
. into_boxed_slice ( ) ;
loop {
let mut changed = false ;
for posi in 0 .. newh . len ( ) {
let nh = newh [ posi ] ;
let oh = oldh [ posi ] ;
if nh = = oh {
continue ;
}
for nposi in neighbors ( posi ) {
let onbh = newh [ nposi ] ;
let nbh = onbh + epsilon ;
// If there is even one path downhill from this node's original height, fix
// the node's new height to be equal to its original height, and break out of the
// loop.
if oh > = nbh {
newh [ posi ] = oh ;
changed = true ;
break ;
}
// Otherwise, we know this node's original height is below the new height of all of
// its neighbors. Then, we try to choose the minimum new height among all this
// node's neighbors that is (plus a constant epislon) below this node's new height.
//
// (If there is no such node, then the node's new height must be (minus a constant
// epsilon) lower than the new height of every neighbor, but above its original
// height. But this can't be true for *all* nodes, because if this is true for any
// node, it is not true of any of its neighbors. So all neighbors must either be
// their original heights, or we will have another iteration of the loop (one of
// its neighbors was changed to its minimum neighbor). In the second case, in the
// next round, all neighbor heights will be at most nh + epsilon).
if nh > nbh & & nbh > oh {
newh [ posi ] = nbh ;
changed = true ;
}
}
}
if ! changed {
return newh ;
}
}
}
/// Computes which tiles are ocean tiles by
/// Algorithm for finding and connecting lakes. Assumes newh and downhill have already
/// been computed. When a lake's value is negative, it is its own lake root, and when it is 0, it
/// is on the boundary of Ω.
///
/// Returns a 4-tuple containing:
/// - The first indirection vector (associating chunk indices with their lake's root node).
/// - A list of chunks on the boundary (non-lake egress points).
/// - The second indirection vector (associating chunk indices with their lake's adjacency list).
/// - The adjacency list (stored in a single vector), indexed by the second indirection vector.
2019-12-03 01:07:44 +00:00
pub fn get_lakes ( h : & [ f32 ] , downhill : & mut [ isize ] ) -> ( usize , Box < [ i32 ] > , Box < [ u32 ] > , f32 ) {
2019-10-16 11:39:41 +00:00
// Associates each lake index with its root node (the deepest one in the lake), and a list of
// adjacent lakes. The list of adjacent lakes includes the lake index of the adjacent lake,
// and a node index in the adjacent lake which has a neighbor in this lake. The particular
// neighbor should be the one that generates the minimum "pass height" encountered so far,
// i.e. the chosen pair should minimize the maximum of the heights of the nodes in the pair.
// We start by taking steps to allocate an indirection vector to use for storing lake indices.
// Initially, each entry in this vector will contain 0. We iterate in ascending order through
// the sorted newh. If the node has downhill == -2, it is a boundary node Ω and we store it in
// the boundary vector. If the node has downhill == -1, it is a fresh lake, and we store 0 in
// it. If the node has non-negative downhill, we use the downhill index to find the next node
// down; if the downhill node has a lake entry < 0, then downhill is a lake and its entry
// can be negated to find an (over)estimate of the number of entries it needs. If the downhill
// node has a non-negative entry, then its entry is the lake index for this node, so we should
// access that entry and increment it, then set our own entry to it.
let mut boundary = Vec ::with_capacity ( downhill . len ( ) ) ;
let mut indirection = vec! [ /* -1i32 */ 0 i32 ; WORLD_SIZE . x * WORLD_SIZE . y ] . into_boxed_slice ( ) ;
let mut newh = Vec ::with_capacity ( downhill . len ( ) ) ;
// Now, we know that the sum of all the indirection nodes will be the same as the number of
// nodes. We can allocate a *single* vector with 8 * nodes entries, to be used as storage
// space, and augment our indirection vector with the starting index, resulting in a vector of
// slices. As we go, we replace each lake entry with its index in the new indirection buffer,
// allowing
let mut lakes = vec! [ ( - 1 , 0 ) ; /* (indirection.len() - boundary.len()) */ indirection . len ( ) * 8 ] ;
let mut indirection_ = vec! [ 0 u32 ; indirection . len ( ) ] ;
// First, find all the lakes.
let mut lake_roots = Vec ::with_capacity ( downhill . len ( ) ) ; // Test
for ( chunk_idx , & dh ) in ( & * downhill )
. into_iter ( )
. enumerate ( )
. filter ( | ( _ , & dh_idx ) | dh_idx < 0 )
{
if dh = = - 2 {
// On the boundary, add to the boundary vector.
boundary . push ( chunk_idx ) ;
// Still considered a lake root, though.
} else if dh = = - 1 {
lake_roots . push ( chunk_idx ) ;
} else {
panic! ( " Impossible. " ) ;
}
// Find all the nodes uphill from this lake. Since there is only one outgoing edge
// in the "downhill" graph, this is guaranteed never to visit a node more than
// once.
let start = newh . len ( ) ;
let indirection_idx = ( start * 8 ) as u32 ;
// New lake root
newh . push ( chunk_idx as u32 ) ;
let mut cur = start ;
while cur < newh . len ( ) {
let node = newh [ cur as usize ] ;
for child in uphill ( downhill , node as usize ) {
// lake_idx is the index of our lake root.
indirection [ child ] = chunk_idx as i32 ;
indirection_ [ child ] = indirection_idx ;
newh . push ( child as u32 ) ;
}
cur + = 1 ;
}
// Find the number of elements pushed.
let length = ( cur - start ) * 8 ;
// New lake root (lakes have indirection set to -length).
indirection [ chunk_idx ] = - ( length as i32 ) ;
indirection_ [ chunk_idx ] = indirection_idx ;
}
assert_eq! ( newh . len ( ) , downhill . len ( ) ) ;
2019-11-23 14:34:03 +00:00
log ::debug! ( " Old lake roots: {:?} " , lake_roots . len ( ) ) ;
2019-10-16 11:39:41 +00:00
let newh = newh . into_boxed_slice ( ) ;
2019-12-03 01:07:44 +00:00
let mut maxh = - f32 ::INFINITY ;
2019-10-16 11:39:41 +00:00
// Now, we know that the sum of all the indirection nodes will be the same as the number of
// nodes. We can allocate a *single* vector with 8 * nodes entries, to be used as storage
// space, and augment our indirection vector with the starting index, resulting in a vector of
// slices. As we go, we replace each lake entry with its index in the new indirection buffer,
// allowing
for & chunk_idx_ in newh . into_iter ( ) {
let chunk_idx = chunk_idx_ as usize ;
let lake_idx_ = indirection_ [ chunk_idx ] ;
let lake_idx = lake_idx_ as usize ;
let height = h [ chunk_idx_ as usize ] ;
2019-12-03 01:07:44 +00:00
// While we're here, compute the max elevation difference from zero among all nodes.
maxh = maxh . max ( height . abs ( ) ) ;
2019-10-16 11:39:41 +00:00
// For every neighbor, check to see whether it is already set; if the neighbor is set,
// its height is ≤ our height. We should search through the edge list for the
// neighbor's lake to see if there's an entry; if not, we insert, and otherwise we
// get its height. We do the same thing in our own lake's entry list. If the maximum
// of the heights we get out from this process is greater than the maximum of this
// chunk and its neighbor chunk, we switch to this new edge.
for neighbor_idx in neighbors ( chunk_idx ) {
let neighbor_height = h [ neighbor_idx ] ;
let neighbor_lake_idx_ = indirection_ [ neighbor_idx ] ;
let neighbor_lake_idx = neighbor_lake_idx_ as usize ;
if neighbor_lake_idx_ < lake_idx_ {
// We found an adjacent node that is not on the boundary and has already
// been processed, and also has a non-matching lake. Therefore we can use
// split_at_mut to get disjoint slices.
let ( lake , neighbor_lake ) = {
// println!("Okay, {:?} < {:?}", neighbor_lake_idx, lake_idx);
let ( neighbor_lake , lake ) = lakes . split_at_mut ( lake_idx ) ;
( lake , & mut neighbor_lake [ neighbor_lake_idx .. ] )
} ;
// We don't actually need to know the real length here, because we've reserved
// enough spaces that we should always either find a -1 (available slot) or an
// entry for this chunk.
' outer : for pass in lake . iter_mut ( ) {
if pass . 0 = = - 1 {
// println!("One time, in my mind, one time... (neighbor lake={:?} lake={:?})", neighbor_lake_idx, lake_idx_);
* pass = ( chunk_idx_ as i32 , neighbor_idx as u32 ) ;
// Should never run out of -1s in the neighbor lake if we didn't find
// the neighbor lake in our lake.
* neighbor_lake
. iter_mut ( )
. filter ( | neighbor_pass | neighbor_pass . 0 = = - 1 )
. next ( )
. unwrap ( ) = ( neighbor_idx as i32 , chunk_idx_ ) ;
// panic!("Should never happen; maybe didn't reserve enough space in lakes?")
break ;
} else if indirection_ [ pass . 1 as usize ] = = neighbor_lake_idx_ {
for neighbor_pass in neighbor_lake . iter_mut ( ) {
// Should never run into -1 while looping here, since (i, j)
// and (j, i) should be added together.
if indirection_ [ neighbor_pass . 1 as usize ] = = lake_idx_ {
let pass_height = h [ neighbor_pass . 1 as usize ] ;
let neighbor_pass_height = h [ pass . 1 as usize ] ;
if height . max ( neighbor_height )
< pass_height . max ( neighbor_pass_height )
{
* pass = ( chunk_idx_ as i32 , neighbor_idx as u32 ) ;
* neighbor_pass = ( neighbor_idx as i32 , chunk_idx_ ) ;
}
break 'outer ;
}
}
// Should always find a corresponding match in the neighbor lake if
// we found the neighbor lake in our lake.
let indirection_idx = indirection [ chunk_idx ] ;
let lake_chunk_idx = if indirection_idx > = 0 {
indirection_idx as usize
} else {
chunk_idx as usize
} ;
let indirection_idx = indirection [ neighbor_idx ] ;
let neighbor_lake_chunk_idx = if indirection_idx > = 0 {
indirection_idx as usize
} else {
neighbor_idx as usize
} ;
panic! (
" For edge {:?} between lakes {:?}, couldn't find partner \
for pass { :? } . \
Should never happen ; maybe forgot to set both edges ? " ,
(
( chunk_idx , uniform_idx_as_vec2 ( chunk_idx as usize ) ) ,
( neighbor_idx , uniform_idx_as_vec2 ( neighbor_idx as usize ) )
) ,
(
(
lake_chunk_idx ,
uniform_idx_as_vec2 ( lake_chunk_idx as usize ) ,
lake_idx_
) ,
(
neighbor_lake_chunk_idx ,
uniform_idx_as_vec2 ( neighbor_lake_chunk_idx as usize ) ,
neighbor_lake_idx_
)
) ,
(
( pass . 0 , uniform_idx_as_vec2 ( pass . 0 as usize ) ) ,
( pass . 1 , uniform_idx_as_vec2 ( pass . 1 as usize ) )
) ,
) ;
}
}
}
}
}
// Now it's time to calculate the lake connections graph T_L covering G_L.
let mut candidates = BinaryHeap ::with_capacity ( indirection . len ( ) ) ;
// let mut pass_flows : Vec<i32> = vec![-1; indirection.len()];
// We start by going through each pass, deleting the ones that point out of boundary nodes and
// adding ones that point into boundary nodes from non-boundary nodes.
for edge in & mut lakes {
let edge : & mut ( i32 , u32 ) = edge ;
// Only consider valid elements.
if edge . 0 = = - 1 {
continue ;
}
// Check to see if this edge points out *from* a boundary node.
// Delete it if so.
let from = edge . 0 as usize ;
let indirection_idx = indirection [ from ] ;
let lake_idx = if indirection_idx < 0 {
from
} else {
indirection_idx as usize
} ;
if downhill [ lake_idx ] = = - 2 {
edge . 0 = - 1 ;
continue ;
}
// This edge is not pointing out from a boundary node.
// Check to see if this edge points *to* a boundary node.
// Add it to the candidate set if so.
let to = edge . 1 as usize ;
let indirection_idx = indirection [ to ] ;
let lake_idx = if indirection_idx < 0 {
to
} else {
indirection_idx as usize
} ;
if downhill [ lake_idx ] = = - 2 {
// Find the pass height
let pass = h [ from ] . max ( h [ to ] ) ;
candidates . push ( Reverse ( (
NotNan ::new ( pass ) . unwrap ( ) ,
( edge . 0 as u32 , edge . 1 ) ,
) ) ) ;
}
}
let mut pass_flows_sorted : Vec < usize > = Vec ::with_capacity ( indirection . len ( ) ) ;
// Now all passes pointing to the boundary are in candidates.
// As long as there are still candidates, we continue...
// NOTE: After a lake is added to the stream tree, the lake bottom's indirection entry no
// longer negates its maximum number of passes, but the lake side of the chosen pass. As such,
// we should make sure not to rely on using it this way afterwards.
// provides information about the number of candidate passes in a lake.
2019-12-11 14:13:46 +00:00
while let Some ( Reverse ( ( _ , ( chunk_idx , neighbor_idx ) ) ) ) = candidates . pop ( ) {
2019-10-16 11:39:41 +00:00
// We have the smallest candidate.
let lake_idx = indirection_ [ chunk_idx as usize ] as usize ;
let indirection_idx = indirection [ chunk_idx as usize ] ;
let lake_chunk_idx = if indirection_idx > = 0 {
indirection_idx as usize
} else {
chunk_idx as usize
} ;
if downhill [ lake_chunk_idx ] > = 0 {
// Candidate lake has already been connected.
continue ;
}
// println!("Got here...");
assert_eq! ( downhill [ lake_chunk_idx ] , - 1 ) ;
// Candidate lake has not yet been connected, and is the lowest candidate.
// Delete all other outgoing edges.
let max_len = - if indirection_idx < 0 {
indirection_idx
} else {
indirection [ indirection_idx as usize ]
} as usize ;
// Add this chunk to the tree.
downhill [ lake_chunk_idx ] = neighbor_idx as isize ;
// Also set the indirection of the lake bottom to the negation of the
// lake side of the chosen pass (chunk_idx).
// NOTE: This can't overflow i32 because WORLD_SIZE.x * WORLD_SIZE.y should fit in an i32.
indirection [ lake_chunk_idx ] = - ( chunk_idx as i32 ) ;
// Add this edge to the sorted list.
pass_flows_sorted . push ( lake_chunk_idx ) ;
// pass_flows_sorted.push((chunk_idx as u32, neighbor_idx as u32));
for edge in & mut lakes [ lake_idx .. lake_idx + max_len ] {
if * edge = = ( chunk_idx as i32 , neighbor_idx as u32 ) {
// Skip deleting this edge.
continue ;
}
// Delete the old edge, and remember it.
let edge = mem ::replace ( edge , ( - 1 , 0 ) ) ;
if edge . 0 = = - 1 {
// Don't fall off the end of the list.
break ;
}
// Don't add incoming pointers from already-handled lakes or boundary nodes.
let indirection_idx = indirection [ edge . 1 as usize ] ;
let neighbor_lake_idx = if indirection_idx < 0 {
edge . 1 as usize
} else {
indirection_idx as usize
} ;
if downhill [ neighbor_lake_idx ] ! = - 1 {
continue ;
}
// Find the pass height
let pass = h [ edge . 0 as usize ] . max ( h [ edge . 1 as usize ] ) ;
// Put the reverse edge in candidates, sorted by height, then chunk idx, and finally
// neighbor idx.
candidates . push ( Reverse ( (
NotNan ::new ( pass ) . unwrap ( ) ,
( edge . 1 , edge . 0 as u32 ) ,
) ) ) ;
}
// println!("I am a pass: {:?}", (uniform_idx_as_vec2(chunk_idx as usize), uniform_idx_as_vec2(neighbor_idx as usize)));
}
2019-11-23 14:34:03 +00:00
log ::debug! ( " Total lakes: {:?} " , pass_flows_sorted . len ( ) ) ;
2019-10-16 11:39:41 +00:00
// Perform the bfs once again.
let mut newh = Vec ::with_capacity ( downhill . len ( ) ) ;
( & * boundary )
. iter ( )
. chain ( pass_flows_sorted . iter ( ) )
. for_each ( | & chunk_idx | {
// Find all the nodes uphill from this lake. Since there is only one outgoing edge
// in the "downhill" graph, this is guaranteed never to visit a node more than
// once.
let start = newh . len ( ) ;
2019-11-22 02:55:19 +00:00
// First, find the neighbor pass (assuming this is not the ocean).
let neighbor_pass_idx = downhill [ chunk_idx ] ;
let first_idx = if neighbor_pass_idx < 0 {
// This is the ocean.
chunk_idx
} else {
// This is a "real" lake.
let neighbor_pass_idx = neighbor_pass_idx as usize ;
// Let's find our side of the pass.
let pass_idx = - indirection [ chunk_idx ] ;
// NOTE: Since only lakes are on the boundary, this should be a valid array index.
assert! ( pass_idx > = 0 ) ;
let pass_idx = pass_idx as usize ;
// Now, we should recompute flow paths so downhill nodes are contiguous.
// Carving strategy: reverse the path from the lake side of the pass to the
// lake bottom, and also set the lake side of the pass's downhill to its
// neighbor pass.
//
// TODO: Implement filling strategy (not just carving strategy).
let mut to_idx = neighbor_pass_idx ;
let mut from_idx = pass_idx ;
// NOTE: Since our side of the lake pass must be in the same basin as chunk_idx,
// and chunk_idx is the basin bottom, we must reach it before we reach an ocean
// node or other node with an invalid index.
while from_idx ! = chunk_idx {
// Reverse this (from, to) edge by first replacing to_idx with from_idx,
// then replacing from_idx's downhill with the old to_idx, and finally
// replacing from_idx with from_idx's old downhill.
//
// println!("Reversing (lake={:?}): to={:?}, from={:?}, dh={:?}", chunk_idx, to_idx, from_idx, downhill[from_idx]);
from_idx = mem ::replace (
& mut downhill [ from_idx ] ,
mem ::replace (
& mut to_idx ,
// NOTE: This cast should be valid since the node is either a path on the way
// to a lake bottom, or a lake bottom with an actual pass outwards.
from_idx
) as isize ,
) as usize ;
}
// Remember to set the actual lake's from_idx properly!
downhill [ from_idx ] = to_idx as isize ;
// Use our side of the pass as the initial node in the stack order.
// TODO: Verify that this stack order will not "double reach" any lake chunks.
pass_idx
} ;
// newh.push(chunk_idx as u32);
2019-10-16 11:39:41 +00:00
// New lake root
2019-11-22 02:55:19 +00:00
newh . push ( first_idx as u32 ) ;
2019-10-16 11:39:41 +00:00
let mut cur = start ;
while cur < newh . len ( ) {
let node = newh [ cur as usize ] ;
for child in uphill ( downhill , node as usize ) {
// lake_idx is the index of our lake root.
2019-11-22 02:55:19 +00:00
// Check to make sure child (flowing into us) is in the same lake.
if indirection [ child ] = = chunk_idx as i32 | | child = = chunk_idx
// // Check to make sure child (flowing into us) isn't a lake.
// if indirection[child] >= 0 || child == chunk_idx
2019-10-16 11:39:41 +00:00
/* Note: equal to chunk_idx should be same */
{
2019-11-22 02:55:19 +00:00
// assert!(h[child] >= h[node as usize]);
2019-10-16 11:39:41 +00:00
newh . push ( child as u32 ) ;
}
}
cur + = 1 ;
}
} ) ;
assert_eq! ( newh . len ( ) , downhill . len ( ) ) ;
2019-12-03 01:07:44 +00:00
( boundary . len ( ) , indirection , newh . into_boxed_slice ( ) , maxh )
2019-10-16 11:39:41 +00:00
}
/// Perform erosion n times.
pub fn do_erosion (
erosion_base : f32 ,
_max_uplift : f32 ,
n : usize ,
seed : & RandomField ,
rock_strength_nz : & ( impl NoiseFn < Point3 < f64 > > + Sync ) ,
oldh : impl Fn ( usize ) -> f32 + Sync ,
2019-11-19 18:34:52 +00:00
oldb : impl Fn ( usize ) -> f32 + Sync ,
2019-10-16 11:39:41 +00:00
is_ocean : impl Fn ( usize ) -> bool + Sync ,
uplift : impl Fn ( usize ) -> f32 + Sync ,
2019-12-03 01:07:44 +00:00
kf : impl Fn ( usize ) -> f32 + Sync ,
kd : impl Fn ( usize ) -> f32 + Sync ,
g : impl Fn ( usize ) -> f32 + Sync ,
2019-11-19 18:34:52 +00:00
) -> ( Box < [ f32 ] > , Box < [ f32 ] > ) {
2019-10-16 11:39:41 +00:00
let oldh_ = ( 0 .. WORLD_SIZE . x * WORLD_SIZE . y )
. into_par_iter ( )
. map ( | posi | oldh ( posi ) )
. collect ::< Vec < _ > > ( )
. into_boxed_slice ( ) ;
2019-11-19 18:34:52 +00:00
// Topographic basement (The height of bedrock, not including sediment).
let mut b = ( 0 .. WORLD_SIZE . x * WORLD_SIZE . y )
. into_par_iter ( )
. map ( | posi | oldb ( posi ) )
. collect ::< Vec < _ > > ( )
. into_boxed_slice ( ) ;
2019-12-03 01:07:44 +00:00
// Stream power law erodability constant for fluvial erosion (bedrock)
let kf = ( 0 .. WORLD_SIZE . x * WORLD_SIZE . y )
. into_par_iter ( )
. map ( | posi | kf ( posi ) )
. collect ::< Vec < _ > > ( )
. into_boxed_slice ( ) ;
// Stream power law erodability constant for hillslope diffusion (bedrock)
let kd = ( 0 .. WORLD_SIZE . x * WORLD_SIZE . y )
. into_par_iter ( )
. map ( | posi | kd ( posi ) )
. collect ::< Vec < _ > > ( )
. into_boxed_slice ( ) ;
// Deposition coefficient
let g = ( 0 .. WORLD_SIZE . x * WORLD_SIZE . y )
. into_par_iter ( )
. map ( | posi | g ( posi ) )
. collect ::< Vec < _ > > ( )
. into_boxed_slice ( ) ;
2019-11-20 10:33:53 +00:00
let mut wh = vec! [ 0.0 ; WORLD_SIZE . x * WORLD_SIZE . y ] . into_boxed_slice ( ) ;
2019-10-16 11:39:41 +00:00
// TODO: Don't do this, maybe?
// (To elaborate, maybe we should have varying uplift or compute it some other way).
let uplift = ( 0 .. oldh_ . len ( ) )
. into_par_iter ( )
. map ( | posi | uplift ( posi ) )
. collect ::< Vec < _ > > ( )
. into_boxed_slice ( ) ;
let sum_uplift = uplift
. into_par_iter ( )
. cloned ( )
. map ( | e | e as f64 )
. sum ::< f64 > ( ) ;
2019-11-23 14:34:03 +00:00
log ::debug! ( " Sum uplifts: {:?} " , sum_uplift ) ;
2019-10-16 11:39:41 +00:00
let max_uplift = uplift
. into_par_iter ( )
. cloned ( )
. max_by ( | a , b | a . partial_cmp ( & b ) . unwrap ( ) )
. unwrap ( ) ;
2019-12-03 01:07:44 +00:00
let max_g = g
. into_par_iter ( )
. cloned ( )
. max_by ( | a , b | a . partial_cmp ( & b ) . unwrap ( ) )
. unwrap ( ) ;
2019-11-23 14:34:03 +00:00
log ::debug! ( " Max uplift: {:?} " , max_uplift ) ;
2019-11-19 18:34:52 +00:00
// Height of terrain, including sediment.
2019-10-16 11:39:41 +00:00
let mut h = oldh_ ;
2019-11-19 18:34:52 +00:00
// 0.01 / 2e-5 = 500
// Bedrock transport coefficients (diffusivity) in m^2 / year. For now, we set them all to be equal
// on land, but in theory we probably want to at least differentiate between soil, bedrock, and
// sediment.
let height_scale = 1.0 ; // 1.0 / CONFIG.mountain_scale as f64;
2019-11-20 10:33:53 +00:00
let mmaxh = CONFIG . mountain_scale as f64 * height_scale ;
let dt = max_uplift as f64 / height_scale /* * CONFIG.mountain_scale as f64 */ / 5.010e-4 ;
2019-11-25 03:47:33 +00:00
let k_fb = /* (erosion_base as f64 + 2.244 / mmaxh as f64 * /* 10.0 */ /* 5.0 */ /* 9.0 */ /* 7.5 */ /* 5.0 */ /* 2.5 */ /* 1.5 */ 4.0 /* 1.0 */ /* 3.75 */ * max_uplift as f64) / dt; */
2.0e-5 * dt ;
2019-11-20 10:33:53 +00:00
let kd_bedrock =
2019-12-03 01:07:44 +00:00
/* 1e-2 */ /* 0.25e-2 */ 1e-2 / 1.0 * height_scale * height_scale /* / (CONFIG.mountain_scale as f64 * CONFIG.mountain_scale as f64) */
2019-11-20 10:33:53 +00:00
/* * k_fb / 2e-5 */ ;
let kdsed =
2019-12-03 01:07:44 +00:00
/* 1.5e-2 */ /* 1e-4 */ /* 1.25e-2 */ 1.5e-2 / 1.0 * height_scale * height_scale /* / (CONFIG.mountain_scale as f64 * CONFIG.mountain_scale as f64) */
2019-11-20 10:33:53 +00:00
/* * k_fb / 2e-5 */ ;
2019-12-03 01:07:44 +00:00
// let kd = |posi: usize| kd_bedrock; // if is_ocean(posi) { /*0.0*/kd_bedrock } else { kd_bedrock };
let kd = | posi : usize | kd [ posi ] ; // if is_ocean(posi) { /*0.0*/kd_bedrock } else { kd_bedrock };
let kf = | posi : usize | kf [ posi ] ;
let g = | posi : usize | g [ posi ] ;
2019-11-19 18:34:52 +00:00
// Hillslope diffusion coefficient for sediment.
let mut is_done = bitbox! [ 0 ; WORLD_SIZE . x * WORLD_SIZE . y ] ;
2019-10-16 11:39:41 +00:00
for i in 0 .. n {
2019-11-23 14:34:03 +00:00
log ::debug! ( " Erosion iteration #{:?} " , i ) ;
2019-10-16 11:39:41 +00:00
erode (
& mut h ,
2019-11-19 18:34:52 +00:00
& mut b ,
2019-11-20 10:33:53 +00:00
& mut wh ,
2019-11-19 18:34:52 +00:00
& mut is_done ,
// The value to use to indicate that erosion is complete on a chunk. Should toggle
// once per iteration, to avoid having to reset the bits, and start at true, since
// we initialize to 0 (false).
i & 1 = = 0 ,
2019-10-16 11:39:41 +00:00
erosion_base ,
max_uplift ,
2019-12-03 01:07:44 +00:00
max_g ,
- 1.0 ,
// kdsed,
2019-10-16 11:39:41 +00:00
seed ,
rock_strength_nz ,
| posi | uplift [ posi ] ,
2019-12-03 01:07:44 +00:00
kf ,
2019-11-19 18:34:52 +00:00
kd ,
2019-12-03 01:07:44 +00:00
g ,
2019-10-16 11:39:41 +00:00
| posi | is_ocean ( posi ) ,
) ;
}
2019-11-19 18:34:52 +00:00
( h , b )
2019-10-16 11:39:41 +00:00
}