git: 682e0bf21234 - main - science/linux-ai-ml-env: Update to 1.0.1

The branch main has been updated by arrowd:

URL: https://cgit.FreeBSD.org/ports/commit/?id=682e0bf21234b0d35dcd88ef1d3ff2f7f05f5730

commit 682e0bf21234b0d35dcd88ef1d3ff2f7f05f5730
Author:     Gleb Popov <arrowd@FreeBSD.org>
AuthorDate: 2025-11-28 12:09:01 +0000
Commit:     Gleb Popov <arrowd@FreeBSD.org>
CommitDate: 2025-11-29 15:28:31 +0000

    science/linux-ai-ml-env: Update to 1.0.1
    
    This updates the Conda environment and brings Python 25.9.1 as well numerous
    dependencies updates.
    
    Approved by:    maintainer (via Matrix)
---
 science/linux-ai-ml-env/Makefile                  |  9 ++++-----
 science/linux-ai-ml-env/distinfo                  | 10 +++++-----
 science/linux-ai-ml-env/files/redundant-items.txt |  8 ++++++++
 science/linux-ai-ml-env/pkg-message               |  2 +-
 4 files changed, 18 insertions(+), 11 deletions(-)

diff --git a/science/linux-ai-ml-env/Makefile b/science/linux-ai-ml-env/Makefile
index 6080a6c0b183..46b9945b2f0f 100644
--- a/science/linux-ai-ml-env/Makefile
+++ b/science/linux-ai-ml-env/Makefile
@@ -1,12 +1,12 @@
 PORTNAME=	ai-ml-env
-PORTVERSION=	1.0.0
+PORTVERSION=	1.0.1
 CATEGORIES=	science linux
 MASTER_SITES=	https://arrowd.name/
 PKGNAMEPREFIX=	linux-
 DISTFILES=	miniconda3.tar.gz
-DIST_SUBDIR=	${PORTNAME}
+DIST_SUBDIR=	${PORTNAME}-${PORTVERSION}
 
-MAINTAINER=	voxnod@gmail.com
+MAINTAINER=	arrowd@FreeBSD.org
 COMMENT=	Linux Python environment for running Stable Diffusion models and PyTorch CUDA examples
 
 ONLY_FOR_ARCHS=	amd64
@@ -16,7 +16,6 @@ LICENSE_NAME=	Multiple licenses
 LICENSE_TEXT=	The package contains multiple packages with different licenses
 LICENSE_PERMS=	dist-mirror pkg-mirror auto-accept
 
-FETCH_DEPENDS=	linux_base-rl9>=9.2:emulators/linux_base-rl9
 BUILD_DEPENDS=	linux-rl9-devtools>=0:devel/linux-rl9-devtools
 RUN_DEPENDS=	linux-nvidia-libs>=0:x11/linux-nvidia-libs \
 		linux-rl9-python${PYTHON_SUFFIX}>=0:lang/linux-rl9-python3 \
@@ -40,7 +39,7 @@ SUB_LIST=	LOCALBASE=${LOCALBASE} \
 PLIST_SUB+=     PYTHON_SUFFIX=${PYTHON_SUFFIX} \
 		PYTHON_VER=${PYTHON_VER}
 
-CONDA_VERSION=	py39_25.1.1-2
+CONDA_VERSION=	py${PYTHON_SUFFIX}_25.9.1-1
 CONDA_SCRIPT=	Miniconda3-${CONDA_VERSION}-Linux-x86_64.sh
 PYTHON_SUFFIX=	39
 PYTHON_VER=	3.9
diff --git a/science/linux-ai-ml-env/distinfo b/science/linux-ai-ml-env/distinfo
index eba6ad95a915..ff6dd1918a87 100644
--- a/science/linux-ai-ml-env/distinfo
+++ b/science/linux-ai-ml-env/distinfo
@@ -1,5 +1,5 @@
-TIMESTAMP = 1742925172
-SHA256 (ai-ml-env/miniconda3.tar.gz) = 1d9eb42dd753f462f4ccd82ab7716561b90274eeaa45254fd50b879bb09537b7
-SIZE (ai-ml-env/miniconda3.tar.gz) = 3511877484
-SHA256 (ai-ml-env/pytorch-examples-5dfeb46902baf444010f2f54bcf4dfbea109ae4d_GH0.tar.gz) = a024b134dfd1edba649289e551a0cd85bd22424dd76df4303b280e20757a602c
-SIZE (ai-ml-env/pytorch-examples-5dfeb46902baf444010f2f54bcf4dfbea109ae4d_GH0.tar.gz) = 7298483
+TIMESTAMP = 1742925173
+SHA256 (ai-ml-env-1.0.1/miniconda3.tar.gz) = caabf9a12acd61912a10a32e690283137e15dff2617fdd701ff9f695dc7a4d5c
+SIZE (ai-ml-env-1.0.1/miniconda3.tar.gz) = 3584426356
+SHA256 (ai-ml-env-1.0.1/pytorch-examples-5dfeb46902baf444010f2f54bcf4dfbea109ae4d_GH0.tar.gz) = a024b134dfd1edba649289e551a0cd85bd22424dd76df4303b280e20757a602c
+SIZE (ai-ml-env-1.0.1/pytorch-examples-5dfeb46902baf444010f2f54bcf4dfbea109ae4d_GH0.tar.gz) = 7298483
diff --git a/science/linux-ai-ml-env/files/redundant-items.txt b/science/linux-ai-ml-env/files/redundant-items.txt
index 54795ebaf9d0..3563b304e27b 100644
--- a/science/linux-ai-ml-env/files/redundant-items.txt
+++ b/science/linux-ai-ml-env/files/redundant-items.txt
@@ -1,4 +1,11 @@
 bin/2to3-3.9
+bin/bunzip2
+bin/bzcat
+bin/bzdiff
+bin/bzgrep
+bin/bzip2
+bin/bzip2recover
+bin/bzmore
 bin/c_rehash
 bin/clear
 bin/idle3.9
@@ -23,6 +30,7 @@ bin/tset
 bin/wheel
 bin/wish8.6
 bin/x86_64-conda-linux-gnu-ld
+bin/xmlwf
 bin/xz
 bin/xzdec
 bin/xzdiff
diff --git a/science/linux-ai-ml-env/pkg-message b/science/linux-ai-ml-env/pkg-message
index 4c744748c5c5..e8f01bd37e44 100644
--- a/science/linux-ai-ml-env/pkg-message
+++ b/science/linux-ai-ml-env/pkg-message
@@ -9,7 +9,7 @@ To play with Stable Diffusion copy it to a user-writable directory, edit at will
 and launch it via ai-ml-env-python:
 
 	cp /usr/local/share/ai-ml-env/stable-diffusion-sample.py ~/
-	ai-ml-env-python stable-diffusion-sample.py
+	ai-ml-env-python ~/stable-diffusion-sample.py
 
 This will download data packages into ~/.cache/huggingface/hub/ during the
 first-time run.