update linregress in frame-benchmarking to 0.5.1 (#13310)

* update nalgebra in frame-benchmarking to 0.5.0

* upgrade to 0.5.1 to incorporate upstream fix in linregress
This commit is contained in:
Sam Johnson
2023-02-05 15:18:56 -05:00
committed by GitHub
parent c653c34070
commit 294726874c
3 changed files with 36 additions and 26 deletions
+34 -24
View File
@@ -765,6 +765,12 @@ version = "0.3.1"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "e3b5ca7a04898ad4bcd41c90c5285445ff5b791899bb1b0abdd2a2aa791211d7"
[[package]]
name = "bytemuck"
version = "1.13.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "c041d3eab048880cb0b86b256447da3f18859a163c3b8d8893f4e6368abe6393"
[[package]]
name = "byteorder"
version = "1.4.3"
@@ -4181,12 +4187,11 @@ dependencies = [
[[package]]
name = "linregress"
version = "0.4.4"
version = "0.5.1"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "d6c601a85f5ecd1aba625247bca0031585fb1c446461b142878a16f8245ddeb8"
checksum = "475015a7f8f017edb28d2e69813be23500ad4b32cfe3421c4148efc97324ee52"
dependencies = [
"nalgebra",
"statrs",
]
[[package]]
@@ -4578,9 +4583,9 @@ dependencies = [
[[package]]
name = "nalgebra"
version = "0.27.1"
version = "0.32.1"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "462fffe4002f4f2e1f6a9dcf12cc1a6fc0e15989014efc02a941d3e0f5dc2120"
checksum = "f6515c882ebfddccaa73ead7320ca28036c4bc84c9bcca3cc0cbba8efe89223a"
dependencies = [
"approx",
"matrixmultiply",
@@ -4588,17 +4593,15 @@ dependencies = [
"num-complex",
"num-rational",
"num-traits",
"rand 0.8.5",
"rand_distr",
"simba",
"typenum",
]
[[package]]
name = "nalgebra-macros"
version = "0.1.0"
version = "0.2.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "01fcc0b8149b4632adc89ac3b7b31a12fb6099a0317a4eb2ebff574ef7de7218"
checksum = "d232c68884c0c99810a5a4d333ef7e47689cfd0edc85efc9e54e1e6bf5212766"
dependencies = [
"proc-macro2",
"quote",
@@ -7862,6 +7865,15 @@ dependencies = [
"rustc_version 0.2.3",
]
[[package]]
name = "safe_arch"
version = "0.6.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "794821e4ccb0d9f979512f9c1973480123f9bd62a90d74ab0f9426fcf8f4a529"
dependencies = [
"bytemuck",
]
[[package]]
name = "same-file"
version = "1.0.6"
@@ -9522,14 +9534,15 @@ dependencies = [
[[package]]
name = "simba"
version = "0.5.1"
version = "0.8.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "8e82063457853d00243beda9952e910b82593e4b07ae9f721b9278a99a0d3d5c"
checksum = "50582927ed6f77e4ac020c057f37a268fc6aebc29225050365aacbb9deeeddc4"
dependencies = [
"approx",
"num-complex",
"num-traits",
"paste",
"wide",
]
[[package]]
@@ -10503,19 +10516,6 @@ dependencies = [
"syn",
]
[[package]]
name = "statrs"
version = "0.15.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "05bdbb8e4e78216a85785a85d3ec3183144f98d0097b9281802c019bb07a6f05"
dependencies = [
"approx",
"lazy_static",
"nalgebra",
"num-traits",
"rand 0.8.5",
]
[[package]]
name = "strsim"
version = "0.10.0"
@@ -12395,6 +12395,16 @@ dependencies = [
"once_cell",
]
[[package]]
name = "wide"
version = "0.7.6"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "feff0a412894d67223777b6cc8d68c0dab06d52d95e9890d5f2d47f10dd9366c"
dependencies = [
"bytemuck",
"safe_arch",
]
[[package]]
name = "widestring"
version = "0.5.1"
+1 -1
View File
@@ -14,7 +14,7 @@ targets = ["x86_64-unknown-linux-gnu"]
[dependencies]
codec = { package = "parity-scale-codec", version = "3.2.2", default-features = false }
linregress = { version = "0.4.4", optional = true }
linregress = { version = "0.5.1", optional = true }
log = { version = "0.4.17", default-features = false }
paste = "1.0"
scale-info = { version = "2.1.1", default-features = false, features = ["derive"] }
+1 -1
View File
@@ -161,7 +161,7 @@ fn raw_linear_regression(
data.extend(xs);
}
let model = linregress::fit_low_level_regression_model(&data, ys.len(), x_vars + 2).ok()?;
Some((model.parameters[0], model.parameters[1..].to_vec(), model.se))
Some((model.parameters()[0], model.parameters()[1..].to_vec(), model.se().to_vec()))
}
fn linear_regression(