fix: update Dockerfile and requirements-dev.txt for MONAI 1.6 tutorial compatibility

Dockerfile

@@ -26,12 +26,21 @@ RUN if [[ $(uname -m) =~ "aarch64" ]]; then \
 
 WORKDIR /opt/monai
 
+# Patch NVIDIA's pip constraint file:
+#   - keep numpy==1.26.4 pin (PyTorch nv25.12 was compiled against NumPy 1.x)
+#   - add setuptools<71 (newer setuptools removed pkg_resources needed by legacy setup.py)
+#   - remove jupytext/isort pins so the tutorial runner can install its required versions
+RUN grep '^numpy==' /etc/pip/constraint.txt > /tmp/new_constraints.txt \
+  && printf 'setuptools<71\n' >> /tmp/new_constraints.txt \
+  && cp /tmp/new_constraints.txt /etc/pip/constraint.txt
+
 # install full deps
 COPY requirements.txt requirements-min.txt requirements-dev.txt /tmp/
 RUN cp /tmp/requirements.txt /tmp/req.bak \
   && awk '!/torch/' /tmp/requirements.txt > /tmp/tmp && mv /tmp/tmp /tmp/requirements.txt \
   && python -m pip install --upgrade --no-cache-dir --no-build-isolation pip wheel wheel-stub \
-  && python -m pip install --no-cache-dir --no-build-isolation -r /tmp/requirements-dev.txt
+  && python -m pip install --no-cache-dir --no-build-isolation -r /tmp/requirements-dev.txt \
+  && python -m pip install --no-cache-dir --no-build-isolation papermill jupytext autopep8 autoflake ipywidgets
 
 # compile ext and remove temp files
 # TODO: remark for issue [revise the dockerfile #1276](https://github.com/Project-MONAI/MONAI/issues/1276)

requirements-dev.txt

@@ -18,6 +18,7 @@ black>=26.3.1
 isort>=5.1, <6, !=6.0.0
 ruff>=0.14.11,<0.15
 pybind11
+setuptools<71  # pkg_resources removed in setuptools>=71; needed by MetricsReloaded setup.py
 types-setuptools
 mypy>=1.5.0, <1.12.0
 ninja
@@ -33,9 +34,11 @@ tifffile; platform_system == "Linux" or platform_system == "Darwin"
 pandas
 requests
 einops
-transformers>=4.53.0
-mlflow>=2.12.2,<3.13
+transformers>=4.53.0, <5.0  # 5.x references torch.float8_e8m0fnu absent in older PyTorch builds
+mlflow>=2.12.2, <3.0  # 3.x broken on Python 3.12 (relative import in mlflow.utils.uv_utils)
 clearml>=1.10.0rc0
+aim; platform_system == "Linux"  # experiment tracking backend for spleen_segmentation_aim tutorial
+lightning>=2.0  # PyTorch Lightning for lightning-based training tutorials
 matplotlib>=3.6.3
 tensorboardX
 types-PyYAML