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-rw-r--r--misc/py-sagemaker-core/Makefile30
-rw-r--r--misc/py-sagemaker-core/distinfo3
-rw-r--r--misc/py-sagemaker-core/files/patch-pyproject.toml9
-rw-r--r--misc/py-sagemaker-core/pkg-descr7
-rw-r--r--misc/py-sagemaker/Makefile48
-rw-r--r--misc/py-sagemaker/distinfo3
-rw-r--r--misc/py-sagemaker/pkg-descr10
7 files changed, 110 insertions, 0 deletions
diff --git a/misc/py-sagemaker-core/Makefile b/misc/py-sagemaker-core/Makefile
new file mode 100644
index 000000000000..e6c02a325f36
--- /dev/null
+++ b/misc/py-sagemaker-core/Makefile
@@ -0,0 +1,30 @@
+PORTNAME= sagemaker-core
+DISTVERSION= 1.0.54
+CATEGORIES= misc python # machine-learning
+MASTER_SITES= PYPI
+PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX}
+DISTNAME= ${PORTNAME:S/-/_/}-${PORTVERSION}
+
+MAINTAINER= yuri@FreeBSD.org
+COMMENT= Sagemaker core functionalities
+WWW= https://github.com/aws/sagemaker-core
+
+LICENSE= APACHE20
+LICENSE_FILE= ${WRKSRC}/LICENSE
+
+BUILD_DEPENDS= ${PY_SETUPTOOLS} \
+ ${PYTHON_PKGNAMEPREFIX}wheel>0:devel/py-wheel@${PY_FLAVOR}
+RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}boto3>=1.35.36:www/py-boto3@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}importlib-metadata>0:devel/py-importlib-metadata@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}jsonschema>0:devel/py-jsonschema@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}platformdirs>=4.0.0:devel/py-platformdirs@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}pydantic2>=2.0.0:devel/py-pydantic2@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}rich>=13.0.0:textproc/py-rich@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}pyyaml>=6.0:devel/py-pyyaml@${PY_FLAVOR}
+
+USES= python
+USE_PYTHON= pep517 autoplist
+
+NO_ARCH= yes
+
+.include <bsd.port.mk>
diff --git a/misc/py-sagemaker-core/distinfo b/misc/py-sagemaker-core/distinfo
new file mode 100644
index 000000000000..756437765622
--- /dev/null
+++ b/misc/py-sagemaker-core/distinfo
@@ -0,0 +1,3 @@
+TIMESTAMP = 1755879212
+SHA256 (sagemaker_core-1.0.54.tar.gz) = c3706174c346f22f85db9fd0ab8bb54a4112c089faeb055a68a2677e30ce9b3b
+SIZE (sagemaker_core-1.0.54.tar.gz) = 411314
diff --git a/misc/py-sagemaker-core/files/patch-pyproject.toml b/misc/py-sagemaker-core/files/patch-pyproject.toml
new file mode 100644
index 000000000000..0df034cb4cac
--- /dev/null
+++ b/misc/py-sagemaker-core/files/patch-pyproject.toml
@@ -0,0 +1,9 @@
+--- pyproject.toml.orig 2025-08-22 16:19:19 UTC
++++ pyproject.toml
+@@ -1,5 +1,5 @@
+ [build-system]
+-requires = ["setuptools>=64"]
++requires = ["setuptools"]
+ build-backend = "setuptools.build_meta"
+
+ [project]
diff --git a/misc/py-sagemaker-core/pkg-descr b/misc/py-sagemaker-core/pkg-descr
new file mode 100644
index 000000000000..3ecd7c4fbe95
--- /dev/null
+++ b/misc/py-sagemaker-core/pkg-descr
@@ -0,0 +1,7 @@
+sagemaker-core is a Python SDK designed to provide an object-oriented interface
+for interacting with Amazon SageMaker resources. It offers full parity with
+SageMaker APIs, allowing developers to leverage all SageMaker capabilities
+directly through the SDK. sagemaker-core introduces features such as dedicated
+resource classes, resource chaining, auto code completion, comprehensive
+documentation and type hints to enhance the developer experience as well as
+productivity.
diff --git a/misc/py-sagemaker/Makefile b/misc/py-sagemaker/Makefile
new file mode 100644
index 000000000000..9241b1930d6c
--- /dev/null
+++ b/misc/py-sagemaker/Makefile
@@ -0,0 +1,48 @@
+PORTNAME= sagemaker
+DISTVERSION= 2.251.0
+CATEGORIES= misc python # machine-learning
+MASTER_SITES= PYPI
+PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX}
+
+MAINTAINER= yuri@FreeBSD.org
+COMMENT= SageMaker: Library for training, deploying models on Amazon SageMaker
+WWW= https://sagemaker.readthedocs.io/en/stable/ \
+ https://github.com/aws/sagemaker-python-sdk
+
+LICENSE= APACHE20
+LICENSE_FILE= ${WRKSRC}/LICENSE.txt
+
+BUILD_DEPENDS= ${PYTHON_PKGNAMEPREFIX}hatchling>0:devel/py-hatchling@${PY_FLAVOR}
+RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}attrs>=24<26:devel/py-attrs@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}boto3>0:www/py-boto3@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}cloudpickle>=2.2.1:devel/py-cloudpickle@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}docker>0:sysutils/py-docker@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}fastapi>0:www/py-fastapi@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}google-pasta>=0:devel/py-google-pasta@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}graphene>=3<4:devel/py-graphene@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}importlib-metadata>0:devel/py-importlib-metadata@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}jsonschema>=0:devel/py-jsonschema@${PY_FLAVOR} \
+ ${PYNUMPY} \
+ ${PYTHON_PKGNAMEPREFIX}omegaconf>=2.2<3:devel/py-omegaconf@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}packaging>0:devel/py-packaging@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}pandas>=0:math/py-pandas@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}pathos>=0:devel/py-pathos@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}platformdirs>=0:devel/py-platformdirs@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}protobuf>0:devel/py-protobuf@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}psutil>=0:sysutils/py-psutil@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}requests>=0:www/py-requests@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}sagemaker-core>=1.0.17:misc/py-sagemaker-core@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}schema>=0:devel/py-schema@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}smdebug-rulesconfig>=1.0.1:misc/py-smdebug-rulesconfig@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}tblib>=1.7.0<4:devel/py-tblib@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}tqdm>=0:misc/py-tqdm@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}urllib3>0:net/py-urllib3@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}uvicorn>=0:www/py-uvicorn@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}pyyaml>0:devel/py-pyyaml@${PY_FLAVOR}
+
+USES= python
+USE_PYTHON= pep517 autoplist
+
+NO_ARCH= yes
+
+.include <bsd.port.mk>
diff --git a/misc/py-sagemaker/distinfo b/misc/py-sagemaker/distinfo
new file mode 100644
index 000000000000..e16fefb1fb4f
--- /dev/null
+++ b/misc/py-sagemaker/distinfo
@@ -0,0 +1,3 @@
+TIMESTAMP = 1755878742
+SHA256 (sagemaker-2.251.0.tar.gz) = 86573b6db1e39fe7f1ff71749ddf3e231778b387944621c74b8ddc746f27b326
+SIZE (sagemaker-2.251.0.tar.gz) = 1228366
diff --git a/misc/py-sagemaker/pkg-descr b/misc/py-sagemaker/pkg-descr
new file mode 100644
index 000000000000..0e6c037ecb96
--- /dev/null
+++ b/misc/py-sagemaker/pkg-descr
@@ -0,0 +1,10 @@
+SageMaker Python SDK is an open source library for training and deploying
+machine learning models on Amazon SageMaker.
+
+With the SDK, you can train and deploy models using popular deep learning
+frameworks Apache MXNet and TensorFlow. You can also train and deploy models
+with Amazon algorithms, which are scalable implementations of core machine
+learning algorithms that are optimized for SageMaker and GPU training.
+
+If you have your own algorithms built into SageMaker compatible Docker
+containers, you can train and host models using these as well.