MKL_Headers_jll build 2023.1.0+0

Artifacts.toml

@@ -1,42 +1,42 @@
 [[MKL_Headers]]
 arch = "i686"
-git-tree-sha1 = "680c2a594cc89e92e57ebf2e5f63ce143f22534a"
+git-tree-sha1 = "ea46ed920500b7ace532dd9cf39dac66963e4874"
 libc = "glibc"
 os = "linux"
 
     [[MKL_Headers.download]]
-    sha256 = "26edb16a47cd94144c70a87388fc4eec340c6eac5ae32f9dcb31e38f1e19db01"
-    url = "https://github.com/JuliaBinaryWrappers/MKL_Headers_jll.jl/releases/download/MKL_Headers-v2022.2.1+0/MKL_Headers.v2022.2.1.i686-linux-gnu.tar.gz"
+    sha256 = "2b2b0d27c1c6437614d5c191934e8fc7e63c83c719ba28537a803e9af23a2eda"
+    url = "https://github.com/JuliaBinaryWrappers/MKL_Headers_jll.jl/releases/download/MKL_Headers-v2023.1.0+0/MKL_Headers.v2023.1.0.i686-linux-gnu.tar.gz"
 [[MKL_Headers]]
 arch = "i686"
-git-tree-sha1 = "6be4c71e7bcc5fd19a9d65b40c5373f1b00ec2ed"
+git-tree-sha1 = "25f4af9a17810ac6264dd94c56e7bee4c8736f88"
 os = "windows"
 
     [[MKL_Headers.download]]
-    sha256 = "b6722fcf4f48c30e32a079c5dfcdefb702440b7c9f5c32093986facfe44850b0"
-    url = "https://github.com/JuliaBinaryWrappers/MKL_Headers_jll.jl/releases/download/MKL_Headers-v2022.2.1+0/MKL_Headers.v2022.2.1.i686-w64-mingw32.tar.gz"
+    sha256 = "4409531d02f27b853f23734ec5d4c452e07e9096349e34ac102a7d1d98fabe95"
+    url = "https://github.com/JuliaBinaryWrappers/MKL_Headers_jll.jl/releases/download/MKL_Headers-v2023.1.0+0/MKL_Headers.v2023.1.0.i686-w64-mingw32.tar.gz"
 [[MKL_Headers]]
 arch = "x86_64"
-git-tree-sha1 = "26ec08601c0f1097bd35263d9f59b295e85bd819"
+git-tree-sha1 = "67a47c2c9d09ebd6534e6eb945c6c87c19bcf877"
 os = "macos"
 
     [[MKL_Headers.download]]
-    sha256 = "c030c6449c765fff9471eac38722df5cda9ba00183ff8986e1f1f9ba5fd46499"
-    url = "https://github.com/JuliaBinaryWrappers/MKL_Headers_jll.jl/releases/download/MKL_Headers-v2022.2.1+0/MKL_Headers.v2022.2.1.x86_64-apple-darwin.tar.gz"
+    sha256 = "7d72952b086519a5bd57c4c4c4c8bed56e7fc9f6c395cc5a259a9732cb418586"
+    url = "https://github.com/JuliaBinaryWrappers/MKL_Headers_jll.jl/releases/download/MKL_Headers-v2023.1.0+0/MKL_Headers.v2023.1.0.x86_64-apple-darwin.tar.gz"
 [[MKL_Headers]]
 arch = "x86_64"
-git-tree-sha1 = "20b1a860029d4eb5d4238409fccb73903c623c1b"
+git-tree-sha1 = "b79565a6bed57e6c0c66ec2580145349a240c9f1"
 libc = "glibc"
 os = "linux"
 
     [[MKL_Headers.download]]
-    sha256 = "afc62bded6286a21b1d71a6faa5d295a2895283be90fa5e2f884d5812d0b6576"
-    url = "https://github.com/JuliaBinaryWrappers/MKL_Headers_jll.jl/releases/download/MKL_Headers-v2022.2.1+0/MKL_Headers.v2022.2.1.x86_64-linux-gnu.tar.gz"
+    sha256 = "2efc858594a8c26f9c89bcdec78508eb0f3b157c38d99dc0d9018c29f1b6ab59"
+    url = "https://github.com/JuliaBinaryWrappers/MKL_Headers_jll.jl/releases/download/MKL_Headers-v2023.1.0+0/MKL_Headers.v2023.1.0.x86_64-linux-gnu.tar.gz"
 [[MKL_Headers]]
 arch = "x86_64"
-git-tree-sha1 = "03d6410674251a0d8c9fdde9340ac6a618ce74df"
+git-tree-sha1 = "0608026f887e4d43d3e9920d7d4e01894519675e"
 os = "windows"
 
     [[MKL_Headers.download]]
-    sha256 = "8a1cb6171477f84bbc65cd4641246f0ebfc61389a709a19faf29e4b886b0fb07"
-    url = "https://github.com/JuliaBinaryWrappers/MKL_Headers_jll.jl/releases/download/MKL_Headers-v2022.2.1+0/MKL_Headers.v2022.2.1.x86_64-w64-mingw32.tar.gz"
+    sha256 = "3c13a362b34204cb77f7c70ff26abe93ebc0160af9a278d1735d0f519fc81526"
+    url = "https://github.com/JuliaBinaryWrappers/MKL_Headers_jll.jl/releases/download/MKL_Headers-v2023.1.0+0/MKL_Headers.v2023.1.0.x86_64-w64-mingw32.tar.gz"

Project.toml

@@ -1,6 +1,6 @@
 name = "MKL_Headers_jll"
 uuid = "b2f2f022-7a59-54f4-945e-e9b78c3fd545"
-version = "2022.2.1+0"
+version = "2023.1.0+0"
 
 [deps]
 JLLWrappers = "692b3bcd-3c85-4b1f-b108-f13ce0eb3210"

README.md

@@ -1,10 +1,10 @@
-# `MKL_Headers_jll.jl` (v2022.2.1+0)
+# `MKL_Headers_jll.jl` (v2023.1.0+0)
 
 [![deps](https://juliahub.com/docs/MKL_Headers_jll/deps.svg)](https://juliahub.com/ui/Packages/MKL_Headers_jll/hkXB1?page=2)
 
 This is an autogenerated package constructed using [`BinaryBuilder.jl`](https://github.com/JuliaPackaging/BinaryBuilder.jl).
 
-The originating [`build_tarballs.jl`](https://github.com/JuliaPackaging/Yggdrasil/blob/59b210b344372b22fdbe50b693875e115848bb5b/M/MKL_Headers/build_tarballs.jl) script can be found on [`Yggdrasil`](https://github.com/JuliaPackaging/Yggdrasil/), the community build tree.
+The originating [`build_tarballs.jl`](https://github.com/JuliaPackaging/Yggdrasil/blob/02e89ac8e7f719b46548532c960c52fc85396338/M/MKL_Headers/build_tarballs.jl) script can be found on [`Yggdrasil`](https://github.com/JuliaPackaging/Yggdrasil/), the community build tree.
 
 ## Bug Reports
 
@@ -18,11 +18,11 @@ For more details about JLL packages and how to use them, see `BinaryBuilder.jl`
 
 The tarballs for `MKL_Headers_jll.jl` have been built from these sources:
 
-* compressed archive: https://anaconda.org/intel/mkl-include/2022.2.1/download/linux-64/mkl-include-2022.2.1-intel_16993.tar.bz2 (SHA256 checksum: `144b4939c875ae52b5479317e73be839f5b26b3b0e2c3a52bd59507bc25be56c`)
-* compressed archive: https://anaconda.org/intel/mkl-include/2022.2.1/download/linux-32/mkl-include-2022.2.1-intel_16993.tar.bz2 (SHA256 checksum: `2deec097b972d7784b26b454169af302a0d4e26cc1d65cbb4ed72baf00a8849e`)
-* compressed archive: https://anaconda.org/intel/mkl-include/2022.2.1/download/osx-64/mkl-include-2022.2.1-intel_15346.tar.bz2 (SHA256 checksum: `fa14e44b3adbcc156aa7b531c4e83143cf9d31fe990210cb6d5d5456f8a417a8`)
-* compressed archive: https://anaconda.org/intel/mkl-include/2022.2.1/download/win-32/mkl-include-2022.2.1-intel_19754.tar.bz2 (SHA256 checksum: `04c3ce3f1e6e23e575f904fbdafd089f3241bf28ca1005b2464d87795295dc50`)
-* compressed archive: https://anaconda.org/intel/mkl-include/2022.2.1/download/win-64/mkl-include-2022.2.1-intel_19754.tar.bz2 (SHA256 checksum: `675519d77dfbf38bfa3dd94f37d3d1fa9f74b32f089e50123605ff3d45752c44`)
+* compressed archive: https://anaconda.org/intel/mkl-include/2023.1.0/download/win-32/mkl-include-2023.1.0-intel_46356.tar.bz2 (SHA256 checksum: `81f7efd96cb35ee24ea79011bb12dd038113417c94afa9718a7f45c16b81d559`)
+* compressed archive: https://anaconda.org/intel/mkl-include/2023.1.0/download/win-64/mkl-include-2023.1.0-intel_46356.tar.bz2 (SHA256 checksum: `19eb554a8c9c75325e26f4f4a8b9b80538d420016065d5ec918fd9c10354c96b`)
+* compressed archive: https://anaconda.org/intel/mkl-include/2023.1.0/download/linux-32/mkl-include-2023.1.0-intel_46342.tar.bz2 (SHA256 checksum: `a6aa2335954fc2ffb0e3e8a5580a101f955061b2086f1b408c7af7827f799a2e`)
+* compressed archive: https://anaconda.org/intel/mkl-include/2023.1.0/download/linux-64/mkl-include-2023.1.0-intel_46342.tar.bz2 (SHA256 checksum: `b24d12a8e18ba23de5c659a33fb184a7ac6019d4b159e78f628d7c8de225f77a`)
+* compressed archive: https://anaconda.org/intel/mkl-include/2023.1.0/download/osx-64/mkl-include-2023.1.0-intel_43558.tar.bz2 (SHA256 checksum: `f7522e05e61d083e06a802d864c3cefcac8b7bcca35fd08b6cb95a2691808e43`)
 
 ## Platforms