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Improve the appearance of coalesce-densest-as-needed tiles (#247)

Browse Source 
* Start to distinguish fixed cluster density setting from as-needed density

* Make consistent {drop,coalesce}-densest decisions between zooms

* Actually track the previous index instead of just intending to

* Clean up collinearities in coalesced features

* To determine densest, look at actual physical distance, not just index

* Don't actually need the previous index in serial_feature now

* Center of mass of one feature to most distant point of the next

* Add apologetic comment

* Wait, how did the tests pass before?

* Revert "Wait, how did the tests pass before?"

This reverts commit f73c8ee543.

* Add --maximum-string-attribute-length option

* Update version and changelog

* A little more testing to make sure
This commit is contained in:
Erica Fischer
2024-07-16 13:23:23 -07:00
committed by GitHub
parent 939579e5a2
commit 47e774adc4
21 changed files with 3801 additions and 4006 deletions
Download Patch File Download Diff File Expand all files Collapse all files
CHANGELOG.md
+5
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@@ -1,3 +1,8 @@
# 2.56.0
* Rework --coalesce-densest-as-needed and --drop-densest-as-needed to look better
* Add --maximum-string-attribute-length option
# 2.55.0
* Fix hash collisions in the string pool
README.md
+1
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@@ -423,6 +423,7 @@ be reduced to the maximum that can be used with the specified _maxzoom_.
* `-aI` or `--convert-stringified-ids-to-numbers`: If a feature ID is the string representation of a number, convert it to a plain number to use as the feature ID.
* `--use-attribute-for-id=`*name*: Use the attribute with the specified *name* as if it were specified as the feature ID. (If this attribute is a stringified number, you must also use `-aI` to convert it to a number.)
* `-pN` or `--single-precision`: Write double-precision numeric attribute values to tiles as single-precision to reduce tile size.
* `--maximum-string-attribute-length`=_length_: Truncate string attributes that exceed the specified length in bytes.
### Filtering features by attributes
geometry.cpp
+35
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@@ -984,6 +984,41 @@ draw centerOfMass(const drawvec &dv, size_t start, size_t end, draw centre) {
}
}
draw center_of_mass_mp(const drawvec &dv) {
double ringx = 0, ringy = 0;
size_t ringcount = 0;
for (size_t i = 0; i < dv.size(); i++) {
if (dv[i].op == VT_MOVETO) {
double xsum = dv[i].x, ysum = dv[i].y;
ssize_t count = 1;
size_t j;
for (j = i + 1; j < dv.size(); j++) {
if (dv[j].op != VT_LINETO) {
break;
} else {
xsum += dv[j].x;
ysum += dv[j].y;
count++;
}
}
double area = get_area(dv, i, j);
draw centroid(VT_MOVETO, std::llround(xsum / count), std::llround(ysum / count));
draw center = centerOfMass(dv, i, j, centroid);
ringx += center.x * area;
ringy += center.y * area;
ringcount += area;
i = j - 1;
}
}
draw center(VT_MOVETO, ringx / ringcount, ringy / ringcount);
return center;
}
double label_goodness(const drawvec &dv, long long x, long long y) {
int nesting = 0;
geometry.hpp
+2
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@@ -114,4 +114,6 @@ std::string overzoom(const std::string &s, int oz, int ox, int oy, int nz, int n
std::unordered_map<std::string, attribute_op> const &attribute_accum,
std::vector<std::string> const &unidecode_data);
draw center_of_mass_mp(const drawvec &dv);
#endif
main.cpp
+4
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@@ -97,6 +97,7 @@ unsigned long long preserve_point_density_threshold = 0;
long long extend_zooms_max = 0;
int retain_points_multiplier = 1;
std::vector<std::string> unidecode_data;
size_t maximum_string_attribute_length = 0;
std::vector<order_field> order_by;
bool order_reverse;
@@ -3071,6 +3072,7 @@ int main(int argc, char **argv) {
{"use-attribute-for-id", required_argument, 0, '~'},
{"single-precision", no_argument, &prevent[P_SINGLE_PRECISION], 1},
{"set-attribute", required_argument, 0, '~'},
{"maximum-string-attribute-length", required_argument, 0, '~'},
{"Filtering features by attributes", 0, 0, 0},
{"feature-filter-file", required_argument, 0, 'J'},
@@ -3304,6 +3306,8 @@ int main(int argc, char **argv) {
retain_points_multiplier = atoll_require(optarg, "Multiply the fraction of points retained by zoom level");
} else if (strcmp(opt, "unidecode-data") == 0) {
unidecode_data = read_unidecode(optarg);
} else if (strcmp(opt, "maximum-string-attribute-length") == 0) {
maximum_string_attribute_length = atoll_require(optarg, "Maximum string attribute length");
} else {
fprintf(stderr, "%s: Unrecognized option --%s\n", argv[0], opt);
exit(EXIT_ARGS);
main.hpp
+1
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@@ -63,6 +63,7 @@ extern size_t limit_tile_feature_count_at_maxzoom;
extern std::map<std::string, serial_val> set_attributes;
extern long long extend_zooms_max;
extern int retain_points_multiplier;
extern size_t maximum_string_attribute_length;
struct order_field {
std::string name;
man/tippecanoe.1
+6 -2
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@@ -5,6 +5,8 @@ like these \[la]MADE_WITH.md\[ra]\&.
.PP
This is the official home of Tippecanoe, developed and actively maintained by Erica Fischer \[la]https://github.com/e-n-f\[ra] at Felt \[la]https://felt.com\[ra]\&.
.PP
For a self\-hosted, API driven version of Tippecanoe, contact a technical sales engineer at \[la]sales@felt.com\[ra]\&. Felt produces highly performant, automatically projected versions of your data, and utilizes a rendering engine, built on top of MapLibre GL JS \[la]https://github.com/maplibre/maplibre-gl-js\[ra], to style vector and raster data.
.PP
Version 2.0.0 is equivalent to 1.36.0 \[la]https://github.com/mapbox/tippecanoe/tree/1.36.0\[ra] in the original repository. Thank you Mapbox for the many years of early support.
.SH Intent
.PP
@@ -471,8 +473,8 @@ zoom level precision (ft) precision (m) map scale
\fB\fC\-z18\fR 1.5 in 4 cm 1:1250
\fB\fC\-z19\fR 0.8 in 2 cm 1:600
\fB\fC\-z20\fR 0.4 in 1 cm 1:300
\fB\fC\-z21\fR 0.2 in 0.5 cm 1:150
\fB\fC\-z22\fR 0.1 in 0.25 cm 1:75
\fB\fC\-z21\fR 0.4 in 1 cm 1:300
\fB\fC\-z22\fR 0.4 in 1 cm 1:300
.TE
.SS Tile resolution
.RS
@@ -526,6 +528,8 @@ The attributes and values may also be specified as JSON keys and values: \fB\fC\
\fB\fC\-\-use\-attribute\-for\-id=\fR\fIname\fP: Use the attribute with the specified \fIname\fP as if it were specified as the feature ID. (If this attribute is a stringified number, you must also use \fB\fC\-aI\fR to convert it to a number.)
.IP \(bu 2
\fB\fC\-pN\fR or \fB\fC\-\-single\-precision\fR: Write double\-precision numeric attribute values to tiles as single\-precision to reduce tile size.
.IP \(bu 2
\fB\fC\-\-maximum\-string\-attribute\-length\fR=\fIlength\fP: Truncate string attributes that exceed the specified length in bytes.
.RE
.SS Filtering features by attributes
.RS
serial.cpp
+19
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@@ -23,6 +23,7 @@
#include "evaluator.hpp"
#include "milo/dtoa_milo.h"
#include "errors.hpp"
#include "text.hpp"
// Offset coordinates to keep them positive
#define COORD_OFFSET (4LL << 32)
@@ -210,6 +211,7 @@ std::string serialize_feature(serial_feature *sf, long long wx, long long wy) {
if (sf->index != 0) {
serialize_ulong_long(s, sf->index);
serialize_ulong_long(s, sf->gap);
}
if (sf->label_point != 0) {
serialize_ulong_long(s, sf->label_point);
@@ -258,6 +260,7 @@ serial_feature deserialize_feature(std::string const &geoms, unsigned z, unsigne
deserialize_int(&cp, &sf.segment);
sf.index = 0;
sf.gap = 0;
sf.label_point = 0;
sf.extent = 0;
@@ -265,6 +268,7 @@ serial_feature deserialize_feature(std::string const &geoms, unsigned z, unsigne
if (sf.layer & (1 << FLAG_INDEX)) {
deserialize_ulong_long(&cp, &sf.index);
deserialize_ulong_long(&cp, &sf.gap);
}
if (sf.layer & (1 << FLAG_LABEL_POINT)) {
deserialize_ulong_long(&cp, &sf.label_point);
@@ -674,6 +678,13 @@ int serialize_feature(struct serialization_state *sst, serial_feature &sf, std::
// keep old behavior, which loses one bit of precision at the bottom
midx = (sf.bbox[0] / 2 + sf.bbox[2] / 2) & ((1LL << 32) - 1);
midy = (sf.bbox[1] / 2 + sf.bbox[3] / 2) & ((1LL << 32) - 1);
} else if ((additional[A_DROP_DENSEST_AS_NEEDED] || additional[A_COALESCE_DENSEST_AS_NEEDED]) && sf.t == VT_POLYGON) {
// This probably should really apply to all polygons,
// but I hate to change the feature sequence in all the
// test fixtures again
draw scaled_center = center_of_mass_mp(scaled_geometry);
midx = SHIFT_LEFT(scaled_center.x) & ((1LL << 32) - 1);
midy = SHIFT_LEFT(scaled_center.y) & ((1LL << 32) - 1);
} else {
// To reduce the chances of giving multiple polygons or linestrings
// the same index, use an arbitrary but predictable point from the
@@ -835,6 +846,14 @@ int serialize_feature(struct serialization_state *sst, serial_feature &sf, std::
}
}
if (maximum_string_attribute_length > 0) {
for (size_t i = 0; i < sf.full_keys.size(); i++) {
if (sf.full_values[i].type == mvt_string && sf.full_values[i].s.size() > maximum_string_attribute_length) {
sf.full_values[i].s = truncate_string(sf.full_values[i].s, maximum_string_attribute_length);
}
}
}
for (size_t i = 0; i < sf.full_keys.size(); i++) {
sf.keys.push_back(addpool(r->poolfile, r->treefile, sf.full_keys[i].c_str(), mvt_string, r->key_dedup));
sf.values.push_back(addpool(r->poolfile, r->treefile, sf.full_values[i].s.c_str(), sf.full_values[i].type, r->value_dedup));
serial.hpp
+1
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@@ -67,6 +67,7 @@ struct serial_feature {
drawvec geometry = drawvec();
unsigned long long index = 0;
unsigned long long gap = 0; // filled in during z0. square of planar distance
unsigned long long label_point = 0;
long long extent = 0;
tests/longattr/out/-z0_--maximum-string-attribute-length_20.json
+20
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@@ -0,0 +1,20 @@
{ "type": "FeatureCollection", "properties": {
"antimeridian_adjusted_bounds": "0.000000,0.000000,0.000000,0.000000",
"bounds": "0.000000,0.000000,0.000000,0.000000",
"center": "0.000000,0.000000,0",
"description": "tests/longattr/out/-z0_--maximum-string-attribute-length_20.json.check.mbtiles",
"format": "pbf",
"generator_options": "./tippecanoe -q -a@ -f -o tests/longattr/out/-z0_--maximum-string-attribute-length_20.json.check.mbtiles -z0 --maximum-string-attribute-length 20 tests/longattr/sherlock.json",
"json": "{\"vector_layers\":[{\"id\":\"sherlock\",\"description\":\"\",\"minzoom\":0,\"maxzoom\":0,\"fields\":{\"sherlock\":\"String\"}}],\"tilestats\":{\"layerCount\":1,\"layers\":[{\"layer\":\"sherlock\",\"count\":1,\"geometry\":\"Point\",\"attributeCount\":1,\"attributes\":[{\"attribute\":\"sherlock\",\"count\":1,\"type\":\"string\",\"values\":[]}]}]}}",
"maxzoom": "0",
"minzoom": "0",
"name": "tests/longattr/out/-z0_--maximum-string-attribute-length_20.json.check.mbtiles",
"type": "overlay",
"version": "2"
}, "features": [
{ "type": "FeatureCollection", "properties": { "zoom": 0, "x": 0, "y": 0 }, "features": [
{ "type": "FeatureCollection", "properties": { "layer": "sherlock", "version": 2, "extent": 4096 }, "features": [
{ "type": "Feature", "properties": { "sherlock": "The Project Gutenber" }, "geometry": { "type": "Point", "coordinates": [ 0.000000, 0.000000 ] } }
] }
] }
] }
tests/muni/out/-Z11_-z13_-M5000_-as.json
+1286 -1400
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File diff suppressed because it is too large Load Diff
tests/muni/out/-Z11_-z13_-O100_--cluster-densest-as-needed.json
+946 -1114
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File diff suppressed because one or more lines are too long
tests/ne_110m_admin_0_countries/out/-ae_-zg_-M5000_--drop-densest-as-needed.json
+593 -603
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File diff suppressed because one or more lines are too long
tests/ne_110m_admin_0_countries/out/-z5_-M5000_--coalesce-densest-as-needed.json
+663 -677
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File diff suppressed because one or more lines are too long
tests/ne_110m_populated_places/out/-z0_-M10000_--drop-densest-as-needed_--extend-zooms-if-still-dropping-maximum_2.json
+80 -106
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@@ -9,7 +9,7 @@
"maxzoom": "2",
"minzoom": "0",
"name": "tests/ne_110m_populated_places/out/-z0_-M10000_--drop-densest-as-needed_--extend-zooms-if-still-dropping-maximum_2.json.check.mbtiles",
"strategies": "[{\"dropped_as_needed\":220,\"tile_size_desired\":75535},{\"dropped_as_needed\":207,\"tile_size_desired\":44899},{\"dropped_as_needed\":182,\"tile_size_desired\":35505}]",
"strategies": "[{\"dropped_as_needed\":220,\"tile_size_desired\":75535},{\"dropped_as_needed\":226,\"tile_size_desired\":44899},{\"dropped_as_needed\":179,\"tile_size_desired\":35505}]",
"tippecanoe_decisions": "{\"basezoom\":0,\"droprate\":2.5,\"retain_points_multiplier\":1}",
"type": "overlay",
"version": "2"
@@ -18,49 +18,49 @@
{ "type": "FeatureCollection", "properties": { "layer": "in", "version": 2, "extent": 4096 }, "features": [
{ "type": "Feature", "properties": { "SCALERANK": 1, "NATSCALE": 300, "LABELRANK": 2, "FEATURECLA": "Populated place", "NAME": "Vancouver", "DIFFASCII": 0, "NAMEASCII": "Vancouver", "ADM0CAP": 0, "CAPALT": 0, "WORLDCITY": 0, "MEGACITY": 1, "SOV0NAME": "Canada", "SOV_A3": "CAN", "ADM0NAME": "Canada", "ADM0_A3": "CAN", "ADM1NAME": "British Columbia", "ISO_A2": "CA", "LATITUDE": 49.273417, "LONGITUDE": -123.121644, "CHANGED": 5, "NAMEDIFF": 0, "DIFFNOTE": "Changed scale rank.", "POP_MAX": 2313328, "POP_MIN": 603502, "POP_OTHER": 482002, "RANK_MAX": 12, "RANK_MIN": 11, "GEONAMEID": 6173331, "MEGANAME": "Vancouver", "LS_NAME": "Vancouver2", "LS_MATCH": 1, "CHECKME": 0, "MAX_POP10": 1590116, "MAX_POP20": 1588839, "MAX_POP50": 1590116, "MAX_POP300": 1590116, "MAX_POP310": 0, "MAX_NATSCA": 100, "MIN_AREAKM": 706, "MAX_AREAKM": 708, "MIN_AREAMI": 273, "MAX_AREAMI": 273, "MIN_PERKM": 398, "MAX_PERKM": 405, "MIN_PERMI": 248, "MAX_PERMI": 251, "MIN_BBXMIN": -123.283333, "MAX_BBXMIN": -123.283333, "MIN_BBXMAX": -122.708333, "MAX_BBXMAX": -122.708333, "MIN_BBYMIN": 49.1, "MAX_BBYMIN": 49.1, "MIN_BBYMAX": 49.383333, "MAX_BBYMAX": 49.383333, "MEAN_BBXC": -122.982768, "MEAN_BBYC": 49.228888, "COMPARE": 0, "GN_ASCII": "Vancouver", "FEATURE_CL": "P", "FEATURE_CO": "PPL", "ADMIN1_COD": 2, "GN_POP": 1837969, "ELEVATION": 0, "GTOPO30": 63, "TIMEZONE": "America/Vancouver", "GEONAMESNO": "Geonames ascii name + lat.d + long.d matching.", "UN_FID": 15, "UN_ADM0": "Canada", "UN_LAT": 49.27, "UN_LONG": -122.96, "POP1950": 556, "POP1955": 588, "POP1960": 620, "POP1965": 836, "POP1970": 1045, "POP1975": 1150, "POP1980": 1247, "POP1985": 1359, "POP1990": 1559, "POP1995": 1789, "POP2000": 1959, "POP2005": 2093, "POP2010": 2146, "POP2015": 2219, "POP2020": 2310, "POP2025": 2380, "POP2050": 2444 }, "geometry": { "type": "Point", "coordinates": [ -123.134766, 49.267805 ] } }
,
{ "type": "Feature", "properties": { "SCALERANK": 1, "NATSCALE": 300, "LABELRANK": 1, "FEATURECLA": "Admin-1 capital", "NAME": "Denver", "NAMEALT": "Denver-Aurora", "DIFFASCII": 0, "NAMEASCII": "Denver", "ADM0CAP": 0, "CAPALT": 0, "WORLDCITY": 0, "MEGACITY": 1, "SOV0NAME": "United States", "SOV_A3": "USA", "ADM0NAME": "United States of America", "ADM0_A3": "USA", "ADM1NAME": "Colorado", "ISO_A2": "US", "LATITUDE": 39.739188, "LONGITUDE": -104.984016, "CHANGED": 5, "NAMEDIFF": 0, "DIFFNOTE": "Changed scale rank.", "POP_MAX": 2313000, "POP_MIN": 1548599, "POP_OTHER": 1521278, "RANK_MAX": 12, "RANK_MIN": 12, "GEONAMEID": 5419384, "MEGANAME": "Denver-Aurora", "LS_NAME": "Denver", "LS_MATCH": 1, "CHECKME": 0, "MAX_POP10": 1548599, "MAX_POP20": 2100407, "MAX_POP50": 2174327, "MAX_POP300": 2174327, "MAX_POP310": 0, "MAX_NATSCA": 100, "MIN_AREAKM": 909, "MAX_AREAKM": 1345, "MIN_AREAMI": 351, "MAX_AREAMI": 519, "MIN_PERKM": 371, "MAX_PERKM": 606, "MIN_PERMI": 231, "MAX_PERMI": 376, "MIN_BBXMIN": -105.241667, "MAX_BBXMIN": -105.241667, "MIN_BBXMAX": -104.866667, "MAX_BBXMAX": -104.708333, "MIN_BBYMIN": 39.5, "MAX_BBYMIN": 39.5, "MIN_BBYMAX": 39.958333, "MAX_BBYMAX": 40.025, "MEAN_BBXC": -104.993967, "MEAN_BBYC": 39.72985, "COMPARE": 0, "GN_ASCII": "Denver", "ADMIN1_COD": 0, "GN_POP": 0, "ELEVATION": 0, "GTOPO30": 0, "GEONAMESNO": "GeoNames match general + researched.", "UN_FID": 537, "UN_ADM0": "United States of America", "UN_LAT": 39.57, "UN_LONG": -105.07, "POP1950": 505, "POP1955": 641, "POP1960": 809, "POP1965": 923, "POP1970": 1054, "POP1975": 1198, "POP1980": 1356, "POP1985": 1437, "POP1990": 1528, "POP1995": 1747, "POP2000": 1998, "POP2005": 2241, "POP2010": 2313, "POP2015": 2396, "POP2020": 2502, "POP2025": 2590, "POP2050": 2661, "CITYALT": "Denver" }, "geometry": { "type": "Point", "coordinates": [ -105.029297, 39.774769 ] } }
,
{ "type": "Feature", "properties": { "SCALERANK": 1, "NATSCALE": 300, "LABELRANK": 1, "FEATURECLA": "Populated place", "NAME": "Chicago", "DIFFASCII": 0, "NAMEASCII": "Chicago", "ADM0CAP": 0, "CAPALT": 0, "WORLDCITY": 1, "MEGACITY": 1, "SOV0NAME": "United States", "SOV_A3": "USA", "ADM0NAME": "United States of America", "ADM0_A3": "USA", "ADM1NAME": "Illinois", "ISO_A2": "US", "LATITUDE": 41.829991, "LONGITUDE": -87.750055, "CHANGED": 0, "NAMEDIFF": 0, "POP_MAX": 8990000, "POP_MIN": 2841952, "POP_OTHER": 3635101, "RANK_MAX": 13, "RANK_MIN": 12, "GEONAMEID": 4887398, "MEGANAME": "Chicago", "LS_NAME": "Chicago", "LS_MATCH": 1, "CHECKME": 0, "MAX_POP10": 3747798, "MAX_POP20": 5069998, "MAX_POP50": 8416660, "MAX_POP300": 8416660, "MAX_POP310": 8450289, "MAX_NATSCA": 300, "MIN_AREAKM": 1345, "MAX_AREAKM": 4804, "MIN_AREAMI": 519, "MAX_AREAMI": 1855, "MIN_PERKM": 471, "MAX_PERKM": 2946, "MIN_PERMI": 293, "MAX_PERMI": 1830, "MIN_BBXMIN": -88.408333, "MAX_BBXMIN": -88.03629, "MIN_BBXMAX": -87.528138, "MAX_BBXMAX": -87.125, "MIN_BBYMIN": 41.391667, "MAX_BBYMIN": 41.458333, "MIN_BBYMAX": 42.000972, "MAX_BBYMAX": 42.491667, "MEAN_BBXC": -87.85874, "MEAN_BBYC": 41.832719, "COMPARE": 0, "GN_ASCII": "Chicago", "FEATURE_CL": "P", "FEATURE_CO": "PPL", "ADMIN1_COD": 0, "GN_POP": 2841952, "ELEVATION": 179, "GTOPO30": 181, "TIMEZONE": "America/Chicago", "GEONAMESNO": "GeoNames match with ascii name + lat + long whole numbers.", "UN_FID": 531, "UN_ADM0": "United States of America", "UN_LAT": 41.82, "UN_LONG": -87.64, "POP1950": 4999, "POP1955": 5565, "POP1960": 6183, "POP1965": 6639, "POP1970": 7106, "POP1975": 7160, "POP1980": 7216, "POP1985": 7285, "POP1990": 7374, "POP1995": 7839, "POP2000": 8333, "POP2005": 8820, "POP2010": 8990, "POP2015": 9211, "POP2020": 9516, "POP2025": 9756, "POP2050": 9932 }, "geometry": { "type": "Point", "coordinates": [ -87.714844, 41.836828 ] } }
,
{ "type": "Feature", "properties": { "SCALERANK": 3, "NATSCALE": 110, "LABELRANK": 0, "FEATURECLA": "Admin-0 capital", "NAME": "Nassau", "DIFFASCII": 0, "NAMEASCII": "Nassau", "ADM0CAP": 1, "CAPALT": 0, "WORLDCITY": 0, "MEGACITY": 0, "SOV0NAME": "Bahamas, The", "SOV_A3": "BHS", "ADM0NAME": "The Bahamas", "ADM0_A3": "BHS", "ISO_A2": "BS", "LATITUDE": 25.08339, "LONGITUDE": -77.350044, "CHANGED": 0, "NAMEDIFF": 0, "POP_MAX": 227940, "POP_MIN": 160966, "POP_OTHER": 0, "RANK_MAX": 10, "RANK_MIN": 9, "GEONAMEID": 3571824, "LS_NAME": "Nassau", "LS_MATCH": 1, "CHECKME": 5, "MAX_POP10": 160966, "MAX_POP20": 160966, "MAX_POP50": 160966, "MAX_POP300": 160966, "MAX_POP310": 0, "MAX_NATSCA": 100, "MIN_AREAKM": 84, "MAX_AREAKM": 84, "MIN_AREAMI": 32, "MAX_AREAMI": 32, "MIN_PERKM": 66, "MAX_PERKM": 66, "MIN_PERMI": 41, "MAX_PERMI": 41, "MIN_BBXMIN": -77.4, "MAX_BBXMIN": -77.4, "MIN_BBXMAX": -77.258333, "MAX_BBXMAX": -77.258333, "MIN_BBYMIN": 25, "MAX_BBYMIN": 25, "MIN_BBYMAX": 25.091667, "MAX_BBYMAX": 25.091667, "MEAN_BBXC": -77.335571, "MEAN_BBYC": 25.04483, "COMPARE": 0, "GN_ASCII": "Nassau", "FEATURE_CL": "P", "FEATURE_CO": "PPLC", "ADMIN1_COD": 23, "GN_POP": 227940, "ELEVATION": 0, "GTOPO30": 3, "TIMEZONE": "America/Nassau", "GEONAMESNO": "GeoNames match general.", "UN_FID": 0, "UN_LAT": 0, "UN_LONG": 0, "POP1950": 0, "POP1955": 0, "POP1960": 0, "POP1965": 0, "POP1970": 0, "POP1975": 0, "POP1980": 0, "POP1985": 0, "POP1990": 0, "POP1995": 0, "POP2000": 0, "POP2005": 0, "POP2010": 0, "POP2015": 0, "POP2020": 0, "POP2025": 0, "POP2050": 0 }, "geometry": { "type": "Point", "coordinates": [ -77.343750, 25.085599 ] } }
,
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@@ -69,14 +69,6 @@
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@@ -84,19 +76,9 @@
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@@ -248,14 +220,16 @@
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@@ -264,15 +238,13 @@
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,
{ "type": "Feature", "properties": { "SCALERANK": 0, "NATSCALE": 600, "LABELRANK": 1, "FEATURECLA": "Admin-1 capital", "NAME": "Shanghai", "DIFFASCII": 0, "NAMEASCII": "Shanghai", "ADM0CAP": 0, "CAPALT": 0, "WORLDCITY": 1, "MEGACITY": 1, "SOV0NAME": "China", "SOV_A3": "CHN", "ADM0NAME": "China", "ADM0_A3": "CHN", "ADM1NAME": "Shanghai", "ISO_A2": "CN", "LATITUDE": 31.216452, "LONGITUDE": 121.436505, "CHANGED": 0, "NAMEDIFF": 0, "POP_MAX": 14987000, "POP_MIN": 14608512, "POP_OTHER": 16803572, "RANK_MAX": 14, "RANK_MIN": 14, "GEONAMEID": 1796236, "MEGANAME": "Shanghai", "LS_NAME": "Shanghai", "LS_MATCH": 1, "CHECKME": 0, "MAX_POP10": 16172884, "MAX_POP20": 16172884, "MAX_POP50": 26630672, "MAX_POP300": 26631586, "MAX_POP310": 40576904, "MAX_NATSCA": 300, "MIN_AREAKM": 3792, "MAX_AREAKM": 16400, "MIN_AREAMI": 1464, "MAX_AREAMI": 6332, "MIN_PERKM": 2219, "MAX_PERKM": 12342, "MIN_PERMI": 1379, "MAX_PERMI": 7669, "MIN_BBXMIN": 119.016667, "MAX_BBXMIN": 121.013757, "MIN_BBXMAX": 121.9, "MAX_BBXMAX": 121.9, "MIN_BBYMIN": 30.191667, "MAX_BBYMIN": 30.7, "MIN_BBYMAX": 31.65, "MAX_BBYMAX": 32.308333, "MEAN_BBXC": 121.053901, "MEAN_BBYC": 31.253289, "COMPARE": 0, "GN_ASCII": "Shanghai", "FEATURE_CL": "P", "FEATURE_CO": "PPLA", "ADMIN1_COD": 23, "GN_POP": 14608512, "ELEVATION": 0, "GTOPO30": 6, "TIMEZONE": "Asia/Shanghai", "GEONAMESNO": "GeoNames match general.", "UN_FID": 98, "UN_ADM0": "China", "UN_LAT": 31.24, "UN_LONG": 121.47, "POP1950": 6066, "POP1955": 6299, "POP1960": 6542, "POP1965": 6793, "POP1970": 7055, "POP1975": 7326, "POP1980": 7608, "POP1985": 7901, "POP1990": 8205, "POP1995": 10423, "POP2000": 13243, "POP2005": 14503, "POP2010": 14987, "POP2015": 15789, "POP2020": 17214, "POP2025": 18466, "POP2050": 19412 }, "geometry": { "type": "Point", "coordinates": [ 121.442871, 31.222197 ] } }
{ "type": "Feature", "properties": { "SCALERANK": 0, "NATSCALE": 600, "LABELRANK": 0, "FEATURECLA": "Admin-0 region capital", "NAME": "Hong Kong", "DIFFASCII": 0, "NAMEASCII": "Hong Kong", "ADM0CAP": 0, "CAPALT": 0, "WORLDCITY": 1, "MEGACITY": 1, "SOV0NAME": "China", "SOV_A3": "CHN", "ADM0NAME": "Hong Kong S.A.R.", "ADM0_A3": "HKG", "ISO_A2": "HK", "LATITUDE": 22.304981, "LONGITUDE": 114.185009, "CHANGED": 0, "NAMEDIFF": 0, "POP_MAX": 7206000, "POP_MIN": 4551579, "POP_OTHER": 4549026, "RANK_MAX": 13, "RANK_MIN": 12, "GEONAMEID": 1819729, "MEGANAME": "Hong Kong", "LS_NAME": "Hong Kong", "LS_MATCH": 1, "CHECKME": 0, "MAX_POP10": 4551579, "MAX_POP20": 15779579, "MAX_POP50": 16718429, "MAX_POP300": 16718429, "MAX_POP310": 42594594, "MAX_NATSCA": 300, "MIN_AREAKM": 202, "MAX_AREAKM": 10661, "MIN_AREAMI": 78, "MAX_AREAMI": 4116, "MIN_PERKM": 219, "MAX_PERKM": 7493, "MIN_PERMI": 136, "MAX_PERMI": 4656, "MIN_BBXMIN": 112.533333, "MAX_BBXMIN": 113.983333, "MIN_BBXMAX": 114.3, "MAX_BBXMAX": 114.775, "MIN_BBYMIN": 21.925, "MAX_BBYMIN": 22.2, "MIN_BBYMAX": 22.4, "MAX_BBYMAX": 24.033333, "MEAN_BBXC": 114.035195, "MEAN_BBYC": 22.679605, "COMPARE": 0, "GN_ASCII": "Hong Kong", "FEATURE_CL": "P", "FEATURE_CO": "PPLC", "ADMIN1_COD": 0, "GN_POP": 7012738, "ELEVATION": 0, "GTOPO30": -9999, "TIMEZONE": "Asia/Hong_Kong", "GEONAMESNO": "GeoNames match general.", "UN_FID": 210, "UN_ADM0": "China, Hong Kong Special Administrative Region", "UN_LAT": 22.27, "UN_LONG": 114.17, "POP1950": 1682, "POP1955": 2121, "POP1960": 2620, "POP1965": 3191, "POP1970": 3458, "POP1975": 3943, "POP1980": 4609, "POP1985": 5070, "POP1990": 5677, "POP1995": 6206, "POP2000": 6662, "POP2005": 7057, "POP2010": 7206, "POP2015": 7419, "POP2020": 7744, "POP2025": 8040, "POP2050": 8305 }, "geometry": { "type": "Point", "coordinates": [ 114.191895, 22.309426 ] } }
,
{ "type": "Feature", "properties": { "SCALERANK": 2, "NATSCALE": 200, "LABELRANK": 6, "FEATURECLA": "Admin-0 capital", "NAME": "Pyongyang", "NAMEALT": "P'yongyang", "DIFFASCII": 0, "NAMEASCII": "Pyongyang", "ADM0CAP": 1, "CAPALT": 0, "WORLDCITY": 0, "MEGACITY": 1, "SOV0NAME": "Korea, North", "SOV_A3": "PRK", "ADM0NAME": "North Korea", "ADM0_A3": "PRK", "ADM1NAME": "P'yongyang", "ISO_A2": "KP", "LATITUDE": 39.019439, "LONGITUDE": 125.754691, "CHANGED": 5, "NAMEDIFF": 0, "DIFFNOTE": "Changed scale rank.", "POP_MAX": 3300000, "POP_MIN": 2498797, "POP_OTHER": 2483216, "RANK_MAX": 12, "RANK_MIN": 12, "GEONAMEID": 1871859, "MEGANAME": "P'yongyang", "LS_NAME": "Pyongyang", "LS_MATCH": 1, "CHECKME": 0, "MAX_POP10": 2498797, "MAX_POP20": 2498797, "MAX_POP50": 2498797, "MAX_POP300": 2498797, "MAX_POP310": 0, "MAX_NATSCA": 100, "MIN_AREAKM": 446, "MAX_AREAKM": 447, "MIN_AREAMI": 172, "MAX_AREAMI": 173, "MIN_PERKM": 510, "MAX_PERKM": 511, "MIN_PERMI": 317, "MAX_PERMI": 318, "MIN_BBXMIN": 125.608333, "MAX_BBXMIN": 125.608333, "MIN_BBXMAX": 125.891667, "MAX_BBXMAX": 125.891667, "MIN_BBYMIN": 38.825, "MAX_BBYMIN": 38.825, "MIN_BBYMAX": 39.191667, "MAX_BBYMAX": 39.191667, "MEAN_BBXC": 125.742428, "MEAN_BBYC": 38.996997, "COMPARE": 0, "GN_ASCII": "Pyongyang", "FEATURE_CL": "P", "FEATURE_CO": "PPLC", "ADMIN1_COD": 12, "GN_POP": 3222000, "ELEVATION": 0, "GTOPO30": 13, "TIMEZONE": "Asia/Pyongyang", "GEONAMESNO": "GeoNames match general.", "UN_FID": 327, "UN_ADM0": "Democratic People's Republic of Korea", "UN_LAT": 39.02, "UN_LONG": 125.75, "POP1950": 516, "POP1955": 577, "POP1960": 646, "POP1965": 769, "POP1970": 987, "POP1975": 1348, "POP1980": 1842, "POP1985": 2195, "POP1990": 2526, "POP1995": 2838, "POP2000": 3117, "POP2005": 3265, "POP2010": 3300, "POP2015": 3346, "POP2020": 3434, "POP2025": 3537, "POP2050": 3630 }, "geometry": { "type": "Point", "coordinates": [ 125.749512, 39.027719 ] } }
,
{ "type": "Feature", "properties": { "SCALERANK": 4, "NATSCALE": 50, "LABELRANK": 5, "FEATURECLA": "Admin-0 capital alt", "NAME": "Baguio City", "DIFFASCII": 0, "NAMEASCII": "Baguio City", "ADM0CAP": 0, "CAPALT": 0, "WORLDCITY": 0, "MEGACITY": 0, "SOV0NAME": "Philippines", "SOV_A3": "PHL", "ADM0NAME": "Philippines", "ADM0_A3": "PHL", "ADM1NAME": "Benguet", "ISO_A2": "PH", "LATITUDE": 16.429991, "LONGITUDE": 120.569943, "CHANGED": 40, "NAMEDIFF": 0, "DIFFNOTE": "Changed scale rank.", "POP_MAX": 447824, "POP_MIN": 272714, "POP_OTHER": 164877, "RANK_MAX": 10, "RANK_MIN": 10, "GEONAMEID": 1728930, "LS_NAME": "Baguio City", "LS_MATCH": 1, "CHECKME": 0, "MAX_POP10": 447824, "MAX_POP20": 447824, "MAX_POP50": 447824, "MAX_POP300": 447824, "MAX_POP310": 0, "MAX_NATSCA": 100, "MIN_AREAKM": 89, "MAX_AREAKM": 89, "MIN_AREAMI": 34, "MAX_AREAMI": 34, "MIN_PERKM": 78, "MAX_PERKM": 78, "MIN_PERMI": 48, "MAX_PERMI": 48, "MIN_BBXMIN": 120.541667, "MAX_BBXMIN": 120.541667, "MIN_BBXMAX": 120.65, "MAX_BBXMAX": 120.65, "MIN_BBYMIN": 16.358333, "MAX_BBYMIN": 16.358333, "MIN_BBYMAX": 16.483333, "MAX_BBYMAX": 16.483333, "MEAN_BBXC": 120.598765, "MEAN_BBYC": 16.421065, "COMPARE": 0, "GN_ASCII": "Baguio", "FEATURE_CL": "P", "FEATURE_CO": "PPL", "ADMIN1_COD": 0, "GN_POP": 272714, "ELEVATION": 0, "GTOPO30": 1448, "TIMEZONE": "Asia/Manila", "GEONAMESNO": "GeoNames spatial join with similar names only.", "UN_FID": 0, "UN_LAT": 0, "UN_LONG": 0, "POP1950": 0, "POP1955": 0, "POP1960": 0, "POP1965": 0, "POP1970": 0, "POP1975": 0, "POP1980": 0, "POP1985": 0, "POP1990": 0, "POP1995": 0, "POP2000": 0, "POP2005": 0, "POP2010": 0, "POP2015": 0, "POP2020": 0, "POP2025": 0, "POP2050": 0 }, "geometry": { "type": "Point", "coordinates": [ 120.563965, 16.425548 ] } }
,
@@ -392,7 +366,7 @@
,
{ "type": "Feature", "properties": { "SCALERANK": 6, "NATSCALE": 30, "LABELRANK": 0, "FEATURECLA": "Admin-0 capital", "NAME": "Palikir", "DIFFASCII": 0, "NAMEASCII": "Palikir", "ADM0CAP": 1, "CAPALT": 0, "WORLDCITY": 0, "MEGACITY": 0, "SOV0NAME": "Federated States of Micronesia", "SOV_A3": "FSM", "ADM0NAME": "Federated States of Micronesia", "ADM0_A3": "FSM", "ISO_A2": "FM", "LATITUDE": 6.916644, "LONGITUDE": 158.149974, "CHANGED": 4, "NAMEDIFF": 0, "DIFFNOTE": "Changed scale rank.", "POP_MAX": 4645, "POP_MIN": 4645, "POP_OTHER": 0, "RANK_MAX": 4, "RANK_MIN": 4, "GEONAMEID": 2081986, "LS_NAME": "Palikir", "LS_MATCH": 1, "CHECKME": 5, "MAX_POP10": 412, "MAX_POP20": 412, "MAX_POP50": 412, "MAX_POP300": 412, "MAX_POP310": 0, "MAX_NATSCA": 100, "MIN_AREAKM": 1, "MAX_AREAKM": 1, "MIN_AREAMI": 0, "MAX_AREAMI": 0, "MIN_PERKM": 4, "MAX_PERKM": 4, "MIN_PERMI": 2, "MAX_PERMI": 2, "MIN_BBXMIN": 158.158333, "MAX_BBXMIN": 158.158333, "MIN_BBXMAX": 158.166667, "MAX_BBXMAX": 158.166667, "MIN_BBYMIN": 6.908333, "MAX_BBYMIN": 6.908333, "MIN_BBYMAX": 6.916667, "MAX_BBYMAX": 6.916667, "MEAN_BBXC": 158.1625, "MEAN_BBYC": 6.9125, "COMPARE": 0, "GN_ASCII": "Palikir", "FEATURE_CL": "P", "FEATURE_CO": "PPLC", "ADMIN1_COD": 2, "GN_POP": 4645, "ELEVATION": 0, "GTOPO30": 159, "TIMEZONE": "Pacific/Ponape", "GEONAMESNO": "GeoNames match general.", "UN_FID": 0, "UN_LAT": 0, "UN_LONG": 0, "POP1950": 0, "POP1955": 0, "POP1960": 0, "POP1965": 0, "POP1970": 0, "POP1975": 0, "POP1980": 0, "POP1985": 0, "POP1990": 0, "POP1995": 0, "POP2000": 0, "POP2005": 0, "POP2010": 0, "POP2015": 0, "POP2020": 0, "POP2025": 0, "POP2050": 0 }, "geometry": { "type": "Point", "coordinates": [ 158.159180, 6.926427 ] } }
,
{ "type": "Feature", "properties": { "SCALERANK": 6, "NATSCALE": 30, "LABELRANK": 0, "FEATURECLA": "Admin-0 capital", "NAME": "Tarawa", "DIFFASCII": 0, "NAMEASCII": "Tarawa", "ADM0CAP": 1, "CAPALT": 0, "WORLDCITY": 0, "MEGACITY": 0, "SOV0NAME": "Kiribati", "SOV_A3": "KIR", "ADM0NAME": "Kiribati", "ADM0_A3": "KIR", "ISO_A2": "KI", "LATITUDE": 1.338188, "LONGITUDE": 173.017571, "CHANGED": 4, "NAMEDIFF": 0, "DIFFNOTE": "Location adjusted. Changed scale rank.", "POP_MAX": 28802, "POP_MIN": 22534, "POP_OTHER": 0, "RANK_MAX": 7, "RANK_MIN": 7, "GEONAMEID": 2110079, "LS_NAME": "Tarawa", "LS_MATCH": 1, "CHECKME": 5, "MAX_POP10": 22534, "MAX_POP20": 22534, "MAX_POP50": 22534, "MAX_POP300": 22534, "MAX_POP310": 0, "MAX_NATSCA": 100, "MIN_AREAKM": 12, "MAX_AREAKM": 12, "MIN_AREAMI": 5, "MAX_AREAMI": 5, "MIN_PERKM": 28, "MAX_PERKM": 28, "MIN_PERMI": 17, "MAX_PERMI": 17, "MIN_BBXMIN": 172.966667, "MAX_BBXMIN": 172.966667, "MIN_BBXMAX": 173.058333, "MAX_BBXMAX": 173.058333, "MIN_BBYMIN": 1.325, "MAX_BBYMIN": 1.325, "MIN_BBYMAX": 1.358333, "MAX_BBYMAX": 1.358333, "MEAN_BBXC": 173.015476, "MEAN_BBYC": 1.33869, "COMPARE": 0, "GN_ASCII": "Tarawa", "FEATURE_CL": "P", "FEATURE_CO": "PPL", "ADMIN1_COD": 0, "GN_POP": 28802, "ELEVATION": 0, "GTOPO30": 1, "TIMEZONE": "Pacific/Tarawa", "GEONAMESNO": "GeoNames match general.", "UN_FID": 0, "UN_LAT": 0, "UN_LONG": 0, "POP1950": 0, "POP1955": 0, "POP1960": 0, "POP1965": 0, "POP1970": 0, "POP1975": 0, "POP1980": 0, "POP1985": 0, "POP1990": 0, "POP1995": 0, "POP2000": 0, "POP2005": 0, "POP2010": 0, "POP2015": 0, "POP2020": 0, "POP2025": 0, "POP2050": 0 }, "geometry": { "type": "Point", "coordinates": [ 173.012695, 1.340210 ] } }
{ "type": "Feature", "properties": { "SCALERANK": 6, "NATSCALE": 30, "LABELRANK": 0, "FEATURECLA": "Admin-0 capital", "NAME": "Majuro", "DIFFASCII": 0, "NAMEASCII": "Majuro", "ADM0CAP": 1, "CAPALT": 0, "WORLDCITY": 0, "MEGACITY": 0, "SOV0NAME": "Marshall Islands", "SOV_A3": "MHL", "ADM0NAME": "Marshall Islands", "ADM0_A3": "MHL", "ISO_A2": "MH", "LATITUDE": 7.103004, "LONGITUDE": 171.38, "CHANGED": 4, "NAMEDIFF": 0, "DIFFNOTE": "Changed scale rank.", "POP_MAX": 25400, "POP_MIN": 20500, "POP_OTHER": 0, "RANK_MAX": 7, "RANK_MIN": 7, "GEONAMEID": 2113779, "LS_NAME": "Majuro", "LS_MATCH": 1, "CHECKME": 5, "MAX_POP10": 2084, "MAX_POP20": 2084, "MAX_POP50": 2084, "MAX_POP300": 2084, "MAX_POP310": 0, "MAX_NATSCA": 100, "MIN_AREAKM": 3, "MAX_AREAKM": 3, "MIN_AREAMI": 1, "MAX_AREAMI": 1, "MIN_PERKM": 7, "MAX_PERKM": 7, "MIN_PERMI": 5, "MAX_PERMI": 5, "MIN_BBXMIN": 171.366667, "MAX_BBXMIN": 171.366667, "MIN_BBXMAX": 171.375, "MAX_BBXMAX": 171.375, "MIN_BBYMIN": 7.091667, "MAX_BBYMIN": 7.091667, "MIN_BBYMAX": 7.116667, "MAX_BBYMAX": 7.116667, "MEAN_BBXC": 171.370833, "MEAN_BBYC": 7.104167, "COMPARE": 0, "GN_ASCII": "Majuro", "FEATURE_CL": "P", "FEATURE_CO": "PPLC", "ADMIN1_COD": 0, "GN_POP": 20500, "ELEVATION": 0, "GTOPO30": 1, "TIMEZONE": "Pacific/Majuro", "GEONAMESNO": "GeoNames match general.", "UN_FID": 0, "UN_LAT": 0, "UN_LONG": 0, "POP1950": 0, "POP1955": 0, "POP1960": 0, "POP1965": 0, "POP1970": 0, "POP1975": 0, "POP1980": 0, "POP1985": 0, "POP1990": 0, "POP1995": 0, "POP2000": 0, "POP2005": 0, "POP2010": 0, "POP2015": 0, "POP2020": 0, "POP2025": 0, "POP2050": 0 }, "geometry": { "type": "Point", "coordinates": [ 171.386719, 7.100893 ] } }
] }
] }
] }
text.cpp
+16
View File
@@ -325,3 +325,19 @@ unsigned long long bit_reverse(unsigned long long v) {
v = ((v & 0x5555555555555555) << 1) | ((v & 0xAAAAAAAAAAAAAAAA) >> 1);
return v;
}
std::string truncate_string(std::string const &s, size_t len) {
if (s.length() <= len) {
return s;
}
// find the initial byte of a UTF-8 character
ssize_t i;
for (i = len; i > 0; i--) {
if ((s[i] & 0x80) == 0 || (s[i] & 0xC0) == 0xC0) {
break;
}
}
return s.substr(0, i);
}
text.hpp
+1
View File
@@ -14,5 +14,6 @@ unsigned long long fnv1a(std::string const &s);
unsigned long long fnv1a(const char *s, char additional);
unsigned long long fnv1a(size_t size, void *p);
unsigned long long bit_reverse(unsigned long long v);
std::string truncate_string(std::string const &s, size_t len);
#endif
tile-join.cpp
+1 -1
View File
@@ -771,7 +771,7 @@ void *join_worker(void *v) {
}
if (!pk && compressed.size() > 500000) {
fprintf(stderr, "Tile %lld/%lld/%lld size is %lld, >500000. Skipping this tile\n.", ai->first.z, ai->first.x, ai->first.y, (long long) compressed.size());
fprintf(stderr, "Tile %lld/%lld/%lld size is %lld, >500000. Skipping this tile.\n", ai->first.z, ai->first.x, ai->first.y, (long long) compressed.size());
} else {
a->outputs.insert(std::pair<zxy, std::string>(ai->first, compressed));
}
tile.cpp
+101 -102
View File
@@ -634,6 +634,13 @@ static double simplify_feature(serial_feature *p, drawvec const &shared_nodes, n
// continues to simplify to line_detail even if we have extra detail
drawvec ngeom = simplify_lines(geom, z, p->tx, p->ty, line_detail, !(prevent[P_CLIPPING] || prevent[P_DUPLICATION]), p->simplification, t == VT_POLYGON ? 4 : 0, shared_nodes, shared_nodes_map, nodepos);
if (p->coalesced && prevent[P_SIMPLIFY_SHARED_NODES]) {
// do another simplification to eliminate collinearities
// that were left behind at the former corners between
// coalesced geometries
ngeom = simplify_lines(ngeom, z, p->tx, p->ty, line_detail, !(prevent[P_CLIPPING] || prevent[P_DUPLICATION]), 0.1, t == VT_POLYGON ? 4 : 0, shared_nodes, NULL, 0);
}
if (t != VT_POLYGON || ngeom.size() >= 3) {
geom = ngeom;
}
@@ -740,48 +747,16 @@ int manage_gap(unsigned long long index, unsigned long long *previndex, double s
}
// This function is called to choose the new gap threshold for --drop-densest-as-needed
// and --coalesce-densest-as-needed. The list that is passed in is the list of indices
// of features that survived the previous gap-choosing, so it first needs to calculate
// and sort the gaps between them before deciding which new gap threshold will satisfy
// the need to keep only the requested fraction of features.
static unsigned long long choose_mingap(std::vector<unsigned long long> const &indices, double f) {
unsigned long long bot = ULLONG_MAX;
unsigned long long top = 0;
// and --coalesce-densest-as-needed.
static unsigned long long choose_mingap(std::vector<unsigned long long> &gaps, double f, unsigned long long existing_gap) {
std::stable_sort(gaps.begin(), gaps.end());
for (size_t i = 0; i < indices.size(); i++) {
if (i > 0 && indices[i] >= indices[i - 1]) {
if (indices[i] - indices[i - 1] > top) {
top = indices[i] - indices[i - 1];
}
if (indices[i] - indices[i - 1] < bot) {
bot = indices[i] - indices[i - 1];
}
}
size_t ix = (gaps.size() - 1) * (1 - f);
while (ix + 1 < gaps.size() && gaps[ix] == existing_gap) {
ix++;
}
size_t want = indices.size() * f;
while (top - bot > 2) {
unsigned long long guess = bot / 2 + top / 2;
size_t count = 0;
unsigned long long prev = 0;
for (size_t i = 0; i < indices.size(); i++) {
if (indices[i] - prev >= guess) {
count++;
prev = indices[i];
}
}
if (count > want) {
bot = guess;
} else if (count < want) {
top = guess;
} else {
return guess;
}
}
return top;
return gaps[ix];
}
// This function is called to choose the new "extent" threshold to try when a tile exceeds the
@@ -1028,7 +1003,7 @@ struct multiplier_state {
// This function is called repeatedly from write_tile() to retrieve the next feature
// from the input stream. If the stream is at an end, it returns a feature with the
// geometry type set to -2.
static serial_feature next_feature(decompressor *geoms, std::atomic<long long> *geompos_in, int z, unsigned tx, unsigned ty, unsigned *initial_x, unsigned *initial_y, long long *original_features, long long *unclipped_features, int nextzoom, int maxzoom, int minzoom, int max_zoom_increment, size_t pass, std::atomic<long long> *along, long long alongminus, int buffer, int *within, compressor **geomfile, std::atomic<long long> *geompos, std::atomic<double> *oprogress, double todo, const char *fname, int child_shards, json_object *filter, const char *global_stringpool, long long *pool_off, std::vector<std::vector<std::string>> *layer_unmaps, bool first_time, bool compressed, multiplier_state *multiplier_state, std::shared_ptr<std::string> &tile_stringpool, std::vector<std::string> const &unidecode_data) {
static serial_feature next_feature(decompressor *geoms, std::atomic<long long> *geompos_in, int z, unsigned tx, unsigned ty, unsigned *initial_x, unsigned *initial_y, long long *original_features, long long *unclipped_features, int nextzoom, int maxzoom, int minzoom, int max_zoom_increment, size_t pass, std::atomic<long long> *along, long long alongminus, int buffer, int *within, compressor **geomfile, std::atomic<long long> *geompos, std::atomic<double> *oprogress, double todo, const char *fname, int child_shards, json_object *filter, const char *global_stringpool, long long *pool_off, std::vector<std::vector<std::string>> *layer_unmaps, bool first_time, bool compressed, multiplier_state *multiplier_state, std::shared_ptr<std::string> &tile_stringpool, std::vector<std::string> const &unidecode_data, unsigned long long &previndex) {
while (1) {
serial_feature sf;
long long len;
@@ -1072,6 +1047,27 @@ static serial_feature next_feature(decompressor *geoms, std::atomic<long long> *
(*original_features)++;
if (sf.gap == 0) {
if (sf.index != previndex) {
long long ox = (1LL << (32 - z)) * tx;
long long oy = (1LL << (32 - z)) * ty;
unsigned wx1, wy1;
decode_index(previndex, &wx1, &wy1);
for (auto const &g : sf.geometry) {
long long dx = (long long) wx1 - (g.x + ox);
long long dy = (long long) wy1 - (g.y + oy);
unsigned long long d = dx * dx + dy * dy;
if (d > sf.gap) {
sf.gap = d;
}
}
}
}
previndex = sf.index;
if (clip_to_tile(sf, z, buffer)) {
continue;
}
@@ -1244,9 +1240,10 @@ void *run_prefilter(void *v) {
json_writer state(rpa->prefilter_fp);
struct multiplier_state multiplier_state;
std::shared_ptr<std::string> tile_stringpool = std::make_shared<std::string>();
unsigned long long previndex = 0;
while (1) {
serial_feature sf = next_feature(rpa->geoms, rpa->geompos_in, rpa->z, rpa->tx, rpa->ty, rpa->initial_x, rpa->initial_y, rpa->original_features, rpa->unclipped_features, rpa->nextzoom, rpa->maxzoom, rpa->minzoom, rpa->max_zoom_increment, rpa->pass, rpa->along, rpa->alongminus, rpa->buffer, rpa->within, rpa->geomfile, rpa->geompos, rpa->oprogress, rpa->todo, rpa->fname, rpa->child_shards, rpa->filter, rpa->global_stringpool, rpa->pool_off, rpa->layer_unmaps, rpa->first_time, rpa->compressed, &multiplier_state, tile_stringpool, *(rpa->unidecode_data));
serial_feature sf = next_feature(rpa->geoms, rpa->geompos_in, rpa->z, rpa->tx, rpa->ty, rpa->initial_x, rpa->initial_y, rpa->original_features, rpa->unclipped_features, rpa->nextzoom, rpa->maxzoom, rpa->minzoom, rpa->max_zoom_increment, rpa->pass, rpa->along, rpa->alongminus, rpa->buffer, rpa->within, rpa->geomfile, rpa->geompos, rpa->oprogress, rpa->todo, rpa->fname, rpa->child_shards, rpa->filter, rpa->global_stringpool, rpa->pool_off, rpa->layer_unmaps, rpa->first_time, rpa->compressed, &multiplier_state, tile_stringpool, *(rpa->unidecode_data), previndex);
if (sf.t < 0) {
break;
}
@@ -1519,6 +1516,9 @@ long long write_tile(decompressor *geoms, std::atomic<long long> *geompos_in, ch
}
}
// only for -K
unsigned long long cluster_mingap = ((1LL << (32 - z)) / 256 * cluster_distance) * ((1LL << (32 - z)) / 256 * cluster_distance);
bool first_time = true;
// This only loops if the tile data didn't fit, in which case the detail
// goes down and the progress indicator goes backward for the next try.
@@ -1538,7 +1538,8 @@ long long write_tile(decompressor *geoms, std::atomic<long long> *geompos_in, ch
std::map<std::string, layer_features> layers;
std::vector<unsigned long long> indices;
std::vector<unsigned long long> gaps;
size_t gaps_increment = 1;
std::vector<long long> extents;
size_t extents_increment = 1;
std::vector<unsigned long long> drop_sequences;
@@ -1658,13 +1659,14 @@ long long write_tile(decompressor *geoms, std::atomic<long long> *geompos_in, ch
struct multiplier_state multiplier_state;
size_t multiplier_seq = retain_points_multiplier - 1;
bool drop_rest = false; // are we dropping the remainder of a multiplier cluster whose first point was dropped?
unsigned long long next_feature_previndex = 0;
for (size_t seq = 0;; seq++) {
serial_feature sf;
ssize_t which_serial_feature = -1;
if (prefilter == NULL) {
sf = next_feature(geoms, geompos_in, z, tx, ty, initial_x, initial_y, &original_features, &unclipped_features, nextzoom, maxzoom, minzoom, max_zoom_increment, pass, along, alongminus, buffer, within, geomfile, geompos, &oprogress, todo, fname, child_shards, filter, global_stringpool, pool_off, layer_unmaps, first_time, compressed_input, &multiplier_state, tile_stringpool, unidecode_data);
sf = next_feature(geoms, geompos_in, z, tx, ty, initial_x, initial_y, &original_features, &unclipped_features, nextzoom, maxzoom, minzoom, max_zoom_increment, pass, along, alongminus, buffer, within, geomfile, geompos, &oprogress, todo, fname, child_shards, filter, global_stringpool, pool_off, layer_unmaps, first_time, compressed_input, &multiplier_state, tile_stringpool, unidecode_data, next_feature_previndex);
} else {
sf = parse_feature(prefilter_jp, z, tx, ty, layermaps, tiling_seg, layer_unmaps, postfilter != NULL);
}
@@ -1737,19 +1739,13 @@ long long write_tile(decompressor *geoms, std::atomic<long long> *geompos_in, ch
}
}
// Cap the indices, rather than sampling them like extents (areas),
// because choose_mingap cares about the distance between *surviving*
// features, not between *original* features, so we can't just store
// gaps rather than indices to be able to downsample them fairly.
// Hopefully the first 100K features in the tile are reasonably
// representative of the other features in the tile.
const size_t MAX_INDICES = 100000;
if (z <= cluster_maxzoom && (additional[A_CLUSTER_DENSEST_AS_NEEDED] || cluster_distance != 0)) {
if (indices.size() < MAX_INDICES) {
indices.push_back(sf.index);
}
if ((sf.index < merge_previndex || sf.index - merge_previndex < mingap) && find_feature_to_accumulate_onto(features, sf, which_serial_feature, layer_unmaps, LLONG_MAX, multiplier_seq)) {
if (z <= cluster_maxzoom && cluster_distance != 0) {
// This still uses merge_previndex instead of sf.gap
// because the cluster size in -K is expecting to specify
// distances between points that are subject to dot-dropping,
// rather than wanting each feature to have a consistent
// idea of density between zooms.
if ((sf.index < merge_previndex || sf.index - merge_previndex < cluster_mingap) && find_feature_to_accumulate_onto(features, sf, which_serial_feature, layer_unmaps, LLONG_MAX, multiplier_seq)) {
features[which_serial_feature].clustered++;
if (features[which_serial_feature].t == VT_POINT &&
@@ -1769,20 +1765,38 @@ long long write_tile(decompressor *geoms, std::atomic<long long> *geompos_in, ch
continue;
}
} else if (additional[A_DROP_DENSEST_AS_NEEDED]) {
if (indices.size() < MAX_INDICES) {
indices.push_back(sf.index);
}
if (sf.index - merge_previndex < mingap) {
add_sample_to(gaps, sf.gap, gaps_increment, seq);
if (sf.gap < mingap) {
if (drop_feature_unless_it_can_be_added_to_a_multiplier_cluster(layer, sf, layer_unmaps, multiplier_seq, strategy, drop_rest, arg->attribute_accum)) {
continue;
}
}
} else if (z <= cluster_maxzoom && (additional[A_CLUSTER_DENSEST_AS_NEEDED])) {
// this is now just like coalesce-densest, except that instead of unioning the geometry,
// it averages the point locations
add_sample_to(gaps, sf.gap, gaps_increment, seq);
if (sf.gap < mingap && find_feature_to_accumulate_onto(features, sf, which_serial_feature, layer_unmaps, LLONG_MAX, multiplier_seq)) {
features[which_serial_feature].clustered++;
} else if (additional[A_COALESCE_DENSEST_AS_NEEDED]) {
if (indices.size() < MAX_INDICES) {
indices.push_back(sf.index);
if (features[which_serial_feature].t == VT_POINT &&
features[which_serial_feature].geometry.size() == 1 &&
sf.geometry.size() == 1) {
double x = (double) features[which_serial_feature].geometry[0].x * features[which_serial_feature].clustered;
double y = (double) features[which_serial_feature].geometry[0].y * features[which_serial_feature].clustered;
x += sf.geometry[0].x;
y += sf.geometry[0].y;
features[which_serial_feature].geometry[0].x = x / (features[which_serial_feature].clustered + 1);
features[which_serial_feature].geometry[0].y = y / (features[which_serial_feature].clustered + 1);
}
preserve_attributes(arg->attribute_accum, sf, features[which_serial_feature]);
strategy->coalesced_as_needed++;
drop_rest = true;
continue;
}
if (sf.index - merge_previndex < mingap && find_feature_to_accumulate_onto(features, sf, which_serial_feature, layer_unmaps, LLONG_MAX, multiplier_seq)) {
} else if (additional[A_COALESCE_DENSEST_AS_NEEDED]) {
add_sample_to(gaps, sf.gap, gaps_increment, seq);
if (sf.gap < mingap && find_feature_to_accumulate_onto(features, sf, which_serial_feature, layer_unmaps, LLONG_MAX, multiplier_seq)) {
coalesce_geometry(features[which_serial_feature], sf);
features[which_serial_feature].coalesced = true;
coalesced_area += sf.extent;
@@ -2363,24 +2377,19 @@ long long write_tile(decompressor *geoms, std::atomic<long long> *geompos_in, ch
continue;
} else if (mingap < ULONG_MAX && (additional[A_DROP_DENSEST_AS_NEEDED] || additional[A_COALESCE_DENSEST_AS_NEEDED] || additional[A_CLUSTER_DENSEST_AS_NEEDED])) {
mingap_fraction = mingap_fraction * max_tile_features / totalsize * 0.90;
unsigned long long mg = choose_mingap(indices, mingap_fraction);
if (mg <= mingap) {
mg = (mingap + 1) * 1.5;
if (mg <= mingap) {
mg = ULONG_MAX;
unsigned long long m = choose_mingap(gaps, mingap_fraction, mingap);
if (m != mingap) {
mingap = m;
if (mingap > arg->mingap_out) {
arg->mingap_out = mingap;
arg->still_dropping = true;
}
if (!quiet) {
fprintf(stderr, "Going to try keeping the sparsest %0.2f%% of the features to make it fit\n", mingap_fraction * 100.0);
}
line_detail++;
continue;
}
mingap = mg;
if (mingap > arg->mingap_out) {
arg->mingap_out = mingap;
arg->still_dropping = true;
}
if (!quiet) {
fprintf(stderr, "Going to try keeping the sparsest %0.2f%% of the features to make it fit\n", mingap_fraction * 100.0);
}
line_detail++;
continue;
} else if (additional[A_DROP_SMALLEST_AS_NEEDED] || additional[A_COALESCE_SMALLEST_AS_NEEDED]) {
minextent_fraction = minextent_fraction * max_tile_features / totalsize * 0.75;
long long m = choose_minextent(extents, minextent_fraction, minextent);
@@ -2470,29 +2479,19 @@ long long write_tile(decompressor *geoms, std::atomic<long long> *geompos_in, ch
line_detail++; // to keep it the same when the loop decrements it
} else if (mingap < ULONG_MAX && (additional[A_DROP_DENSEST_AS_NEEDED] || additional[A_COALESCE_DENSEST_AS_NEEDED] || additional[A_CLUSTER_DENSEST_AS_NEEDED])) {
mingap_fraction = mingap_fraction * scaled_max_tile_size / (kept_adjust * compressed.size()) * 0.90;
unsigned long long mg = choose_mingap(indices, mingap_fraction);
if (mg <= mingap) {
double nmg = (mingap + 1) * 1.5;
if (nmg <= mingap || nmg > ULONG_MAX) {
mg = ULONG_MAX;
} else {
mg = nmg;
if (mg <= mingap) {
mg = ULONG_MAX;
}
unsigned long long m = choose_mingap(gaps, mingap_fraction, mingap);
if (m != mingap) {
mingap = m;
if (mingap > arg->mingap_out) {
arg->mingap_out = mingap;
arg->still_dropping = true;
}
if (!quiet) {
fprintf(stderr, "Going to try keeping the sparsest %0.2f%% of the features to make it fit\n", mingap_fraction * 100.0);
}
line_detail++;
continue;
}
mingap = mg;
if (mingap > arg->mingap_out) {
arg->mingap_out = mingap;
arg->still_dropping = true;
}
if (!quiet) {
fprintf(stderr, "Going to try keeping the sparsest %0.2f%% of the features to make it fit\n", mingap_fraction * 100.0);
}
line_detail++;
} else if (additional[A_DROP_SMALLEST_AS_NEEDED] || additional[A_COALESCE_SMALLEST_AS_NEEDED]) {
minextent_fraction = minextent_fraction * scaled_max_tile_size / (kept_adjust * compressed.size()) * 0.75;
long long m = choose_minextent(extents, minextent_fraction, minextent);
@@ -2826,7 +2825,7 @@ int traverse_zooms(int *geomfd, off_t *geom_size, char *global_stringpool, std::
int err = INT_MAX;
double zoom_gamma = gamma;
unsigned long long zoom_mingap = ((1LL << (32 - z)) / 256 * cluster_distance) * ((1LL << (32 - z)) / 256 * cluster_distance);
unsigned long long zoom_mingap = 0;
long long zoom_minextent = 0;
unsigned long long zoom_mindrop_sequence = 0;
size_t zoom_tile_size = 0;
unit.cpp
+19
View File
@@ -21,6 +21,25 @@ TEST_CASE("UTF-8 truncation", "[trunc]") {
REQUIRE(truncate16("0123456789😀😬😁😂😃😄😅😆", 16) == std::string("0123456789😀😬😁"));
REQUIRE(truncate16("0123456789😀😬😁😂😃😄😅😆", 17) == std::string("0123456789😀😬😁"));
REQUIRE(truncate16("0123456789あいうえおかきくけこさ", 16) == std::string("0123456789あいうえおか"));
REQUIRE(truncate_string("789éîôüéîôüç", 3) == std::string("789"));
REQUIRE(truncate_string("789éîôüéîôüç", 4) == std::string("789"));
REQUIRE(truncate_string("789éîôüéîôüç", 5) == std::string("789é"));
REQUIRE(truncate_string("789éîôüéîôüç", 6) == std::string("789é"));
REQUIRE(truncate_string("789éîôüéîôüç", 7) == std::string("789éî"));
REQUIRE(truncate_string("789éîôüéîôüç", 8) == std::string("789éî"));
REQUIRE(truncate_string("0123456789😀😬😁😂😃😄😅😆", 10) == std::string("0123456789"));
REQUIRE(truncate_string("0123456789😀😬😁😂😃😄😅😆", 11) == std::string("0123456789"));
REQUIRE(truncate_string("0123456789😀😬😁😂😃😄😅😆", 12) == std::string("0123456789"));
REQUIRE(truncate_string("0123456789😀😬😁😂😃😄😅😆", 13) == std::string("0123456789"));
REQUIRE(truncate_string("0123456789😀😬😁😂😃😄😅😆", 14) == std::string("0123456789😀"));
REQUIRE(truncate_string("😀", 4) == std::string("😀"));
REQUIRE(truncate_string("😀", 3) == std::string(""));
REQUIRE(truncate_string("😀", 2) == std::string(""));
REQUIRE(truncate_string("😀", 1) == std::string(""));
REQUIRE(truncate_string("😀", 0) == std::string(""));
}
int intcmp(const void *v1, const void *v2) {
version.hpp
+1 -1
View File
@@ -1,6 +1,6 @@
#ifndef VERSION_HPP
#define VERSION_HPP
#define VERSION "v2.55.0"
#define VERSION "v2.56.0"
#endif