Potentially faster strtree implementations #73
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Codecov Report
@@ Coverage Diff @@
## master #73 +/- ##
==========================================
- Coverage 97.54% 97.26% -0.29%
==========================================
Files 31 33 +2
Lines 2809 2996 +187
==========================================
+ Hits 2740 2914 +174
- Misses 69 82 +13
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Example: library(geos)
many_points <- wk::xy(runif(1e6), runif(1e6))
geos_match_xy <- function(x, table) {
tree <- geos_basic_strtree()
geos_basic_strtree_insert(tree, x)
geos_basic_strtree_query(tree, x, limit = 1, fill = TRUE)
}
bench::mark(
geos_match_xy(many_points, many_points),
iterations = 5,
check = FALSE
)
#> # A tibble: 1 × 6
#> expression min median `itr/sec` mem_alloc
#> <bch:expr> <bch:tm> <bch:tm> <dbl> <bch:byt>
#> 1 geos_match_xy(many_points, many_points) 1.02s 1.02s 0.980 7.7MB
#> # … with 1 more variable: `gc/sec` <dbl>Created on 2022-08-11 by the reprex package (v2.0.1) |
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Fixes #66 (hopefully!).