Update annembed to v0.1.5 (#51465)

Co-authored-by: Jianshu Zhao <[email protected]>
bioconda · Oct 17, 2024 · 30d171e · 30d171e
1 parent 5dd01ae
commit 30d171e
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Showing 2 changed files with 4 additions and 4 deletions.
diff --git a/recipes/annembed/build.sh b/recipes/annembed/build.sh
@@ -5,4 +5,4 @@
 export CARGO_NET_GIT_FETCH_WITH_CLI=true CARGO_HOME="$(pwd)/.cargo"
 
 # build statically linked binary with Rust
-RUST_BACKTRACE=1 cargo install --features intel-mkl-static --verbose --path . --root $PREFIX
+RUST_BACKTRACE=1 cargo install --features intel-mkl-static,simdeez_f --verbose --path . --root $PREFIX
diff --git a/recipes/annembed/meta.yaml b/recipes/annembed/meta.yaml
@@ -1,4 +1,4 @@
-{% set version = "0.1.4" %}
+{% set version = "0.1.5" %}
 
 package:
   name: annembed
@@ -11,7 +11,7 @@ build:
   skip: True  # [osx]
 source:
   url: https://github.com/jianshu93/annembed/archive/v{{ version }}.tar.gz
-  sha256: 0f923798db3843aac0352eba5d2b169673ee087fce2cc37981bd19a1ecb878d0
+  sha256: 49404757698cde6669fb1e5145c9f33c013fb8fa7321d58eea184f38d03c23f3
 
 requirements:
   build:
@@ -28,7 +28,7 @@ test:
 about:
   home: https://github.com/jianshu93/annembed
   license: MIT
-  summary: annembed is an ultra-fast and scalable non-linear dimension reduction algorithm (similar to UMAP or t-SNE) for large-scale biological data
+  summary: annembed is an ultra-fast and scalable non-linear dimension reduction/embedding algorithm (similar to UMAP or t-SNE) for large-scale biological data
 
 extra:
   maintainers: