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monailabel cannot be installed in python 3.12 #1750
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Same for me.
|
Correct. Have requested the dependent to be available for 3.12. Otherwise for now it's kind of not officially supported. But it shall be fixed sooner to support python 3.12 |
Note that MONAI-Label itself uses distutils as well in several places, so simply building |
@SachidanandAlle @jamesobutler I have just released numpymaxflow v0.0.7 that supports python 3.12 |
I haven't tried runtime usage, but monailabel install on Python 3.12 is no longer blocked by the build of numpymaxflow. re #1750 (comment) and the Click for full output of installing monailabel for Python 3.12PS C:\Users\butlej30383\AppData\Local\Programs\Python\Python312> ./python.exe -m pip install monailabel
Collecting monailabel
Downloading monailabel-0.8.4-202410172208-py3-none-any.whl.metadata (22 kB)
Collecting bcrypt>=4.1.2 (from monailabel)
Downloading bcrypt-4.2.0-cp39-abi3-win_amd64.whl.metadata (9.9 kB)
Collecting cachetools>=5.3.3 (from monailabel)
Downloading cachetools-5.5.0-py3-none-any.whl.metadata (5.3 kB)
Collecting dicomweb-client>=0.59.1 (from dicomweb-client[gcp]>=0.59.1->monailabel)
Downloading dicomweb_client-0.59.3-py3-none-any.whl.metadata (4.5 kB)
Collecting einops>=0.7.0 (from monailabel)
Downloading einops-0.8.0-py3-none-any.whl.metadata (12 kB)
Collecting expiring-dict>=1.1.0 (from monailabel)
Downloading expiring_dict-1.1.1-py3-none-any.whl.metadata (1.2 kB)
Collecting expiringdict>=1.2.2 (from monailabel)
Downloading expiringdict-1.2.2-py3-none-any.whl.metadata (3.7 kB)
Collecting fastapi>=0.110.2 (from monailabel)
Downloading fastapi-0.115.4-py3-none-any.whl.metadata (27 kB)
Collecting filelock>=3.11.0 (from monailabel)
Downloading filelock-3.16.1-py3-none-any.whl.metadata (2.9 kB)
Collecting girder-client>=3.2.3 (from monailabel)
Downloading girder_client-3.2.6.tar.gz (21 kB)
Installing build dependencies ... done
Getting requirements to build wheel ... done
Installing backend dependencies ... done
Preparing metadata (pyproject.toml) ... done
Collecting google-auth>=2.29.0 (from monailabel)
Downloading google_auth-2.35.0-py2.py3-none-any.whl.metadata (4.7 kB)
Collecting httpx>=0.27.0 (from monailabel)
Downloading httpx-0.27.2-py3-none-any.whl.metadata (7.1 kB)
Collecting monai>=1.4.0 (from monai[fire,gdown,ignite,itk,lmdb,mlflow,nibabel,openslide,pillow,psutil,skimage,tensorboard,torchvision,tqdm]>=1.4.0->monailabel)
Downloading monai-1.4.0-py3-none-any.whl.metadata (11 kB)
Collecting ninja>=1.11.1.1 (from monailabel)
Downloading ninja-1.11.1.1-py2.py3-none-win_amd64.whl.metadata (5.4 kB)
Collecting numpymaxflow>=0.0.6 (from monailabel)
Downloading numpymaxflow-0.0.7-cp312-cp312-win_amd64.whl.metadata (4.2 kB)
Collecting passlib>=1.7.4 (from monailabel)
Downloading passlib-1.7.4-py2.py3-none-any.whl.metadata (1.7 kB)
Collecting pydantic-settings>=2.2.1 (from monailabel)
Downloading pydantic_settings-2.6.0-py3-none-any.whl.metadata (3.5 kB)
Collecting pydantic>=2.7.0 (from monailabel)
Downloading pydantic-2.9.2-py3-none-any.whl.metadata (149 kB)
Collecting pydicom-seg>=0.4.1 (from monailabel)
Downloading pydicom_seg-0.4.1-py3-none-any.whl.metadata (5.2 kB)
Collecting pydicom>=2.4.4 (from monailabel)
Downloading pydicom-3.0.1-py3-none-any.whl.metadata (9.4 kB)
Collecting pyjwt>=2.8.0 (from monailabel)
Downloading PyJWT-2.9.0-py3-none-any.whl.metadata (3.0 kB)
Collecting pynetdicom>=2.0.2 (from monailabel)
Downloading pynetdicom-2.1.1-py3-none-any.whl.metadata (23 kB)
Collecting pynrrd>=1.0.0 (from monailabel)
Downloading pynrrd-1.0.0-py2.py3-none-any.whl.metadata (3.9 kB)
Collecting python-dotenv>=1.0.1 (from monailabel)
Downloading python_dotenv-1.0.1-py3-none-any.whl.metadata (23 kB)
Collecting python-multipart>=0.0.9 (from monailabel)
Downloading python_multipart-0.0.16-py3-none-any.whl.metadata (1.8 kB)
Collecting pyyaml>=6.0.1 (from monailabel)
Downloading PyYAML-6.0.2-cp312-cp312-win_amd64.whl.metadata (2.1 kB)
Collecting requests-toolbelt>=1.0.0 (from monailabel)
Downloading requests_toolbelt-1.0.0-py2.py3-none-any.whl.metadata (14 kB)
Collecting requests>=2.31.0 (from monailabel)
Downloading requests-2.32.3-py3-none-any.whl.metadata (4.6 kB)
Collecting schedule>=1.2.1 (from monailabel)
Downloading schedule-1.2.2-py3-none-any.whl.metadata (3.8 kB)
Collecting scikit-learn (from monailabel)
Downloading scikit_learn-1.5.2-cp312-cp312-win_amd64.whl.metadata (13 kB)
Collecting scipy (from monailabel)
Downloading scipy-1.14.1-cp312-cp312-win_amd64.whl.metadata (60 kB)
Collecting shapely>=2.0.4 (from monailabel)
Downloading shapely-2.0.6-cp312-cp312-win_amd64.whl.metadata (7.2 kB)
Collecting timeloop>=1.0.2 (from monailabel)
Downloading timeloop-1.0.2.tar.gz (2.9 kB)
Installing build dependencies ... done
Getting requirements to build wheel ... done
Preparing metadata (pyproject.toml) ... done
Collecting urllib3>=2.2.1 (from monailabel)
Downloading urllib3-2.2.3-py3-none-any.whl.metadata (6.5 kB)
Collecting uvicorn>=0.29.0 (from monailabel)
Downloading uvicorn-0.32.0-py3-none-any.whl.metadata (6.6 kB)
Collecting watchdog>=4.0.0 (from monailabel)
Downloading watchdog-5.0.3-py3-none-win_amd64.whl.metadata (41 kB)
Collecting numpy>=1.19 (from dicomweb-client>=0.59.1->dicomweb-client[gcp]>=0.59.1->monailabel)
Downloading numpy-2.1.2-cp312-cp312-win_amd64.whl.metadata (59 kB)
Collecting retrying>=1.3.3 (from dicomweb-client>=0.59.1->dicomweb-client[gcp]>=0.59.1->monailabel)
Downloading retrying-1.3.4-py3-none-any.whl.metadata (6.9 kB)
Collecting Pillow>=8.3 (from dicomweb-client>=0.59.1->dicomweb-client[gcp]>=0.59.1->monailabel)
Downloading pillow-11.0.0-cp312-cp312-win_amd64.whl.metadata (9.3 kB)
Collecting sortedcontainers (from expiring-dict>=1.1.0->monailabel)
Downloading sortedcontainers-2.4.0-py2.py3-none-any.whl.metadata (10 kB)
Collecting starlette<0.42.0,>=0.40.0 (from fastapi>=0.110.2->monailabel)
Downloading starlette-0.41.2-py3-none-any.whl.metadata (6.0 kB)
Collecting typing-extensions>=4.8.0 (from fastapi>=0.110.2->monailabel)
Downloading typing_extensions-4.12.2-py3-none-any.whl.metadata (3.0 kB)
Collecting click>=6.7 (from girder-client>=3.2.3->monailabel)
Downloading click-8.1.7-py3-none-any.whl.metadata (3.0 kB)
Collecting diskcache (from girder-client>=3.2.3->monailabel)
Downloading diskcache-5.6.3-py3-none-any.whl.metadata (20 kB)
Collecting pyasn1-modules>=0.2.1 (from google-auth>=2.29.0->monailabel)
Downloading pyasn1_modules-0.4.1-py3-none-any.whl.metadata (3.5 kB)
Collecting rsa<5,>=3.1.4 (from google-auth>=2.29.0->monailabel)
Downloading rsa-4.9-py3-none-any.whl.metadata (4.2 kB)
Collecting anyio (from httpx>=0.27.0->monailabel)
Downloading anyio-4.6.2.post1-py3-none-any.whl.metadata (4.7 kB)
Collecting certifi (from httpx>=0.27.0->monailabel)
Downloading certifi-2024.8.30-py3-none-any.whl.metadata (2.2 kB)
Collecting httpcore==1.* (from httpx>=0.27.0->monailabel)
Downloading httpcore-1.0.6-py3-none-any.whl.metadata (21 kB)
Collecting idna (from httpx>=0.27.0->monailabel)
Downloading idna-3.10-py3-none-any.whl.metadata (10 kB)
Collecting sniffio (from httpx>=0.27.0->monailabel)
Downloading sniffio-1.3.1-py3-none-any.whl.metadata (3.9 kB)
Collecting h11<0.15,>=0.13 (from httpcore==1.*->httpx>=0.27.0->monailabel)
Downloading h11-0.14.0-py3-none-any.whl.metadata (8.2 kB)
Collecting numpy>=1.19 (from dicomweb-client>=0.59.1->dicomweb-client[gcp]>=0.59.1->monailabel)
Downloading numpy-1.26.4-cp312-cp312-win_amd64.whl.metadata (61 kB)
Collecting torch>=1.9 (from monai>=1.4.0->monai[fire,gdown,ignite,itk,lmdb,mlflow,nibabel,openslide,pillow,psutil,skimage,tensorboard,torchvision,tqdm]>=1.4.0->monailabel)
Downloading torch-2.5.1-cp312-cp312-win_amd64.whl.metadata (28 kB)
Collecting fire (from monai[fire,gdown,ignite,itk,lmdb,mlflow,nibabel,openslide,pillow,psutil,skimage,tensorboard,torchvision,tqdm]>=1.4.0->monailabel)
Downloading fire-0.7.0.tar.gz (87 kB)
Installing build dependencies ... done
Getting requirements to build wheel ... done
Preparing metadata (pyproject.toml) ... done
Collecting gdown>=4.7.3 (from monai[fire,gdown,ignite,itk,lmdb,mlflow,nibabel,openslide,pillow,psutil,skimage,tensorboard,torchvision,tqdm]>=1.4.0->monailabel)
Downloading gdown-5.2.0-py3-none-any.whl.metadata (5.8 kB)
Collecting pytorch-ignite==0.4.11 (from monai[fire,gdown,ignite,itk,lmdb,mlflow,nibabel,openslide,pillow,psutil,skimage,tensorboard,torchvision,tqdm]>=1.4.0->monailabel)
Downloading pytorch_ignite-0.4.11-py3-none-any.whl.metadata (28 kB)
Collecting itk>=5.2 (from monai[fire,gdown,ignite,itk,lmdb,mlflow,nibabel,openslide,pillow,psutil,skimage,tensorboard,torchvision,tqdm]>=1.4.0->monailabel)
Downloading itk-5.4.0-cp311-abi3-win_amd64.whl.metadata (22 kB)
Collecting lmdb (from monai[fire,gdown,ignite,itk,lmdb,mlflow,nibabel,openslide,pillow,psutil,skimage,tensorboard,torchvision,tqdm]>=1.4.0->monailabel)
Downloading lmdb-1.5.1-cp312-cp312-win_amd64.whl.metadata (1.1 kB)
Collecting mlflow>=2.12.2 (from monai[fire,gdown,ignite,itk,lmdb,mlflow,nibabel,openslide,pillow,psutil,skimage,tensorboard,torchvision,tqdm]>=1.4.0->monailabel)
Downloading mlflow-2.17.1-py3-none-any.whl.metadata (29 kB)
Collecting nibabel (from monai[fire,gdown,ignite,itk,lmdb,mlflow,nibabel,openslide,pillow,psutil,skimage,tensorboard,torchvision,tqdm]>=1.4.0->monailabel)
Downloading nibabel-5.3.2-py3-none-any.whl.metadata (9.1 kB)
Collecting openslide-python (from monai[fire,gdown,ignite,itk,lmdb,mlflow,nibabel,openslide,pillow,psutil,skimage,tensorboard,torchvision,tqdm]>=1.4.0->monailabel)
Downloading openslide_python-1.4.1-cp311-abi3-win_amd64.whl.metadata (4.4 kB)
Collecting psutil (from monai[fire,gdown,ignite,itk,lmdb,mlflow,nibabel,openslide,pillow,psutil,skimage,tensorboard,torchvision,tqdm]>=1.4.0->monailabel)
Downloading psutil-6.1.0-cp37-abi3-win_amd64.whl.metadata (23 kB)
Collecting scikit-image>=0.14.2 (from monai[fire,gdown,ignite,itk,lmdb,mlflow,nibabel,openslide,pillow,psutil,skimage,tensorboard,torchvision,tqdm]>=1.4.0->monailabel)
Downloading scikit_image-0.24.0-cp312-cp312-win_amd64.whl.metadata (14 kB)
Collecting tensorboard (from monai[fire,gdown,ignite,itk,lmdb,mlflow,nibabel,openslide,pillow,psutil,skimage,tensorboard,torchvision,tqdm]>=1.4.0->monailabel)
Downloading tensorboard-2.18.0-py3-none-any.whl.metadata (1.6 kB)
Collecting torchvision (from monai[fire,gdown,ignite,itk,lmdb,mlflow,nibabel,openslide,pillow,psutil,skimage,tensorboard,torchvision,tqdm]>=1.4.0->monailabel)
Downloading torchvision-0.20.1-cp312-cp312-win_amd64.whl.metadata (6.2 kB)
Collecting tqdm>=4.47.0 (from monai[fire,gdown,ignite,itk,lmdb,mlflow,nibabel,openslide,pillow,psutil,skimage,tensorboard,torchvision,tqdm]>=1.4.0->monailabel)
Downloading tqdm-4.66.6-py3-none-any.whl.metadata (57 kB)
Collecting packaging (from pytorch-ignite==0.4.11->monai[fire,gdown,ignite,itk,lmdb,mlflow,nibabel,openslide,pillow,psutil,skimage,tensorboard,torchvision,tqdm]>=1.4.0->monailabel)
Using cached packaging-24.1-py3-none-any.whl.metadata (3.2 kB)
Collecting annotated-types>=0.6.0 (from pydantic>=2.7.0->monailabel)
Downloading annotated_types-0.7.0-py3-none-any.whl.metadata (15 kB)
Collecting pydantic-core==2.23.4 (from pydantic>=2.7.0->monailabel)
Downloading pydantic_core-2.23.4-cp312-none-win_amd64.whl.metadata (6.7 kB)
Collecting SimpleITK>1.2.4 (from pydicom-seg>=0.4.1->monailabel)
Downloading SimpleITK-2.4.0-cp311-abi3-win_amd64.whl.metadata (8.0 kB)
Collecting jsonschema<4.0.0,>=3.2.0 (from pydicom-seg>=0.4.1->monailabel)
Downloading jsonschema-3.2.0-py2.py3-none-any.whl.metadata (7.8 kB)
Collecting pydicom>=2.4.4 (from monailabel)
Downloading pydicom-2.4.4-py3-none-any.whl.metadata (7.8 kB)
Collecting nptyping (from pynrrd>=1.0.0->monailabel)
Downloading nptyping-2.5.0-py3-none-any.whl.metadata (7.6 kB)
Collecting charset-normalizer<4,>=2 (from requests>=2.31.0->monailabel)
Downloading charset_normalizer-3.4.0-cp312-cp312-win_amd64.whl.metadata (34 kB)
Collecting joblib>=1.2.0 (from scikit-learn->monailabel)
Downloading joblib-1.4.2-py3-none-any.whl.metadata (5.4 kB)
Collecting threadpoolctl>=3.1.0 (from scikit-learn->monailabel)
Downloading threadpoolctl-3.5.0-py3-none-any.whl.metadata (13 kB)
Collecting colorama (from click>=6.7->girder-client>=3.2.3->monailabel)
Downloading colorama-0.4.6-py2.py3-none-any.whl.metadata (17 kB)
Collecting beautifulsoup4 (from gdown>=4.7.3->monai[fire,gdown,ignite,itk,lmdb,mlflow,nibabel,openslide,pillow,psutil,skimage,tensorboard,torchvision,tqdm]>=1.4.0->monailabel)
Downloading beautifulsoup4-4.12.3-py3-none-any.whl.metadata (3.8 kB)
Collecting itk-core==5.4.0 (from itk>=5.2->monai[fire,gdown,ignite,itk,lmdb,mlflow,nibabel,openslide,pillow,psutil,skimage,tensorboard,torchvision,tqdm]>=1.4.0->monailabel)
Downloading itk_core-5.4.0-cp311-abi3-win_amd64.whl.metadata (22 kB)
Collecting itk-numerics==5.4.0 (from itk>=5.2->monai[fire,gdown,ignite,itk,lmdb,mlflow,nibabel,openslide,pillow,psutil,skimage,tensorboard,torchvision,tqdm]>=1.4.0->monailabel)
Downloading itk_numerics-5.4.0-cp311-abi3-win_amd64.whl.metadata (22 kB)
Collecting itk-io==5.4.0 (from itk>=5.2->monai[fire,gdown,ignite,itk,lmdb,mlflow,nibabel,openslide,pillow,psutil,skimage,tensorboard,torchvision,tqdm]>=1.4.0->monailabel)
Downloading itk_io-5.4.0-cp311-abi3-win_amd64.whl.metadata (22 kB)
Collecting itk-filtering==5.4.0 (from itk>=5.2->monai[fire,gdown,ignite,itk,lmdb,mlflow,nibabel,openslide,pillow,psutil,skimage,tensorboard,torchvision,tqdm]>=1.4.0->monailabel)
Downloading itk_filtering-5.4.0-cp311-abi3-win_amd64.whl.metadata (22 kB)
Collecting itk-registration==5.4.0 (from itk>=5.2->monai[fire,gdown,ignite,itk,lmdb,mlflow,nibabel,openslide,pillow,psutil,skimage,tensorboard,torchvision,tqdm]>=1.4.0->monailabel)
Downloading itk_registration-5.4.0-cp311-abi3-win_amd64.whl.metadata (22 kB)
Collecting itk-segmentation==5.4.0 (from itk>=5.2->monai[fire,gdown,ignite,itk,lmdb,mlflow,nibabel,openslide,pillow,psutil,skimage,tensorboard,torchvision,tqdm]>=1.4.0->monailabel)
Downloading itk_segmentation-5.4.0-cp311-abi3-win_amd64.whl.metadata (22 kB)
Collecting attrs>=17.4.0 (from jsonschema<4.0.0,>=3.2.0->pydicom-seg>=0.4.1->monailabel)
Downloading attrs-24.2.0-py3-none-any.whl.metadata (11 kB)
Collecting pyrsistent>=0.14.0 (from jsonschema<4.0.0,>=3.2.0->pydicom-seg>=0.4.1->monailabel)
Downloading pyrsistent-0.20.0-cp312-cp312-win_amd64.whl.metadata (976 bytes)
Collecting setuptools (from jsonschema<4.0.0,>=3.2.0->pydicom-seg>=0.4.1->monailabel)
Using cached setuptools-75.3.0-py3-none-any.whl.metadata (6.9 kB)
Collecting six>=1.11.0 (from jsonschema<4.0.0,>=3.2.0->pydicom-seg>=0.4.1->monailabel)
Downloading six-1.16.0-py2.py3-none-any.whl.metadata (1.8 kB)
Collecting mlflow-skinny==2.17.1 (from mlflow>=2.12.2->monai[fire,gdown,ignite,itk,lmdb,mlflow,nibabel,openslide,pillow,psutil,skimage,tensorboard,torchvision,tqdm]>=1.4.0->monailabel)
Downloading mlflow_skinny-2.17.1-py3-none-any.whl.metadata (30 kB)
Collecting Flask<4 (from mlflow>=2.12.2->monai[fire,gdown,ignite,itk,lmdb,mlflow,nibabel,openslide,pillow,psutil,skimage,tensorboard,torchvision,tqdm]>=1.4.0->monailabel)
Downloading flask-3.0.3-py3-none-any.whl.metadata (3.2 kB)
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Downloading alembic-1.13.3-py3-none-any.whl.metadata (7.4 kB)
Collecting docker<8,>=4.0.0 (from mlflow>=2.12.2->monai[fire,gdown,ignite,itk,lmdb,mlflow,nibabel,openslide,pillow,psutil,skimage,tensorboard,torchvision,tqdm]>=1.4.0->monailabel)
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Collecting graphene<4 (from mlflow>=2.12.2->monai[fire,gdown,ignite,itk,lmdb,mlflow,nibabel,openslide,pillow,psutil,skimage,tensorboard,torchvision,tqdm]>=1.4.0->monailabel)
Downloading graphene-3.4.1-py2.py3-none-any.whl.metadata (6.9 kB)
Collecting markdown<4,>=3.3 (from mlflow>=2.12.2->monai[fire,gdown,ignite,itk,lmdb,mlflow,nibabel,openslide,pillow,psutil,skimage,tensorboard,torchvision,tqdm]>=1.4.0->monailabel)
Downloading Markdown-3.7-py3-none-any.whl.metadata (7.0 kB)
Collecting matplotlib<4 (from mlflow>=2.12.2->monai[fire,gdown,ignite,itk,lmdb,mlflow,nibabel,openslide,pillow,psutil,skimage,tensorboard,torchvision,tqdm]>=1.4.0->monailabel)
Downloading matplotlib-3.9.2-cp312-cp312-win_amd64.whl.metadata (11 kB)
Collecting pandas<3 (from mlflow>=2.12.2->monai[fire,gdown,ignite,itk,lmdb,mlflow,nibabel,openslide,pillow,psutil,skimage,tensorboard,torchvision,tqdm]>=1.4.0->monailabel)
Downloading pandas-2.2.3-cp312-cp312-win_amd64.whl.metadata (19 kB)
Collecting pyarrow<18,>=4.0.0 (from mlflow>=2.12.2->monai[fire,gdown,ignite,itk,lmdb,mlflow,nibabel,openslide,pillow,psutil,skimage,tensorboard,torchvision,tqdm]>=1.4.0->monailabel)
Downloading pyarrow-17.0.0-cp312-cp312-win_amd64.whl.metadata (3.4 kB)
Collecting sqlalchemy<3,>=1.4.0 (from mlflow>=2.12.2->monai[fire,gdown,ignite,itk,lmdb,mlflow,nibabel,openslide,pillow,psutil,skimage,tensorboard,torchvision,tqdm]>=1.4.0->monailabel)
Downloading SQLAlchemy-2.0.36-cp312-cp312-win_amd64.whl.metadata (9.9 kB)
Collecting Jinja2<4,>=3.0 (from mlflow>=2.12.2->monai[fire,gdown,ignite,itk,lmdb,mlflow,nibabel,openslide,pillow,psutil,skimage,tensorboard,torchvision,tqdm]>=1.4.0->monailabel)
Downloading jinja2-3.1.4-py3-none-any.whl.metadata (2.6 kB)
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Building wheels for collected packages: girder-client, timeloop, fire
Building wheel for girder-client (pyproject.toml) ... done
Created wheel for girder-client: filename=girder_client-3.2.6-py3-none-any.whl size=21137 sha256=66c251c05b0b0565d68426be393cc6f4db6aeac75e5577433126591d62b00644
Stored in directory: c:\users\butlej30383\appdata\local\pip\cache\wheels\ba\61\a7\5636fdfd7adfa340d29d02f9d13260da07e7fee489b13fe931
Building wheel for timeloop (pyproject.toml) ... done
Created wheel for timeloop: filename=timeloop-1.0.2-py3-none-any.whl size=3723 sha256=e2d25f4c6d1416ee3da7952f7073953452837e0e2577b9eedc5bc55bd786fa62
Stored in directory: c:\users\butlej30383\appdata\local\pip\cache\wheels\8c\08\2e\3ce3e345dcf4ba834f60d1e040ab77ac7fd42f0bd06cde4e37
Building wheel for fire (pyproject.toml) ... done
Created wheel for fire: filename=fire-0.7.0-py3-none-any.whl size=114263 sha256=b218000aa0b91b1e3706389ba2e628632f68f5efed87d25ff41e88d36c16350c
Stored in directory: c:\users\butlej30383\appdata\local\pip\cache\wheels\9e\5b\45\29f72e55d87a29426b04b3cfdf20325c079eb97ab74f59017d
Successfully built girder-client timeloop fire
Installing collected packages: timeloop, sortedcontainers, SimpleITK, pywin32, pytz, passlib, ninja, mpmath, lmdb, expiringdict, zipp, wrapt, watchdog, waitress, urllib3, tzdata, typing-extensions, threadpoolctl, termcolor, tensorboard-data-server, sympy, sqlparse, soupsieve, sniffio, smmap, six, setuptools, schedule, pyyaml, python-multipart, python-dotenv, PySocks, pyrsistent, pyparsing, pyjwt, pydicom, pyasn1, psutil, protobuf, Pillow, packaging, numpy, networkx, MarkupSafe, markdown, kiwisolver, joblib, itsdangerous, idna, h11, grpcio, greenlet, graphql-core, fsspec, fonttools, filelock, expiring-dict, einops, diskcache, cycler, colorama, cloudpickle, charset-normalizer, certifi, cachetools, blinker, bcrypt, attrs, annotated-types, absl-py, werkzeug, tqdm, tifffile, sqlalchemy, shapely, scipy, rsa, retrying, requests, python-dateutil, pynetdicom, pydantic-core, pyasn1-modules, pyarrow, openslide-python, numpymaxflow, nptyping, nibabel, Mako, lazy-loader, jsonschema, Jinja2, itk-core, importlib-metadata, imageio, httpcore, graphql-relay, gitdb, fire, deprecated, contourpy, click, beautifulsoup4, anyio, uvicorn, torch, tensorboard, starlette, scikit-learn, scikit-image, requests-toolbelt, pynrrd, pydicom-seg, pydantic, pandas, opentelemetry-api, matplotlib, itk-numerics, itk-io, httpx, graphene, google-auth, gitpython, Flask, docker, dicomweb-client, alembic, torchvision, pytorch-ignite, pydantic-settings, opentelemetry-semantic-conventions, monai, itk-filtering, girder-client, gdown, fastapi, databricks-sdk, opentelemetry-sdk, itk-segmentation, itk-registration, mlflow-skinny, itk, mlflow, monailabel
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WARNING: The scripts nib-conform.exe, nib-convert.exe, nib-dicomfs.exe, nib-diff.exe, nib-ls.exe, nib-nifti-dx.exe, nib-roi.exe, nib-stats.exe, nib-tck2trk.exe, nib-trk2tck.exe and parrec2nii.exe are installed in 'C:\Users\butlej30383\AppData\Local\Programs\Python\Python312\Scripts' which is not on PATH.
Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
WARNING: The script mako-render.exe is installed in 'C:\Users\butlej30383\AppData\Local\Programs\Python\Python312\Scripts' which is not on PATH.
Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
WARNING: The script jsonschema.exe is installed in 'C:\Users\butlej30383\AppData\Local\Programs\Python\Python312\Scripts' which is not on PATH.
Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
WARNING: The scripts imageio_download_bin.exe and imageio_remove_bin.exe are installed in 'C:\Users\butlej30383\AppData\Local\Programs\Python\Python312\Scripts' which is not on PATH.
Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
WARNING: The script uvicorn.exe is installed in 'C:\Users\butlej30383\AppData\Local\Programs\Python\Python312\Scripts' which is not on PATH.
Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
WARNING: The scripts convert-caffe2-to-onnx.exe, convert-onnx-to-caffe2.exe, torchfrtrace.exe and torchrun.exe are installed in 'C:\Users\butlej30383\AppData\Local\Programs\Python\Python312\Scripts' which is not on PATH.
Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
WARNING: The script tensorboard.exe is installed in 'C:\Users\butlej30383\AppData\Local\Programs\Python\Python312\Scripts' which is not on PATH.
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WARNING: The script httpx.exe is installed in 'C:\Users\butlej30383\AppData\Local\Programs\Python\Python312\Scripts' which is not on PATH.
Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
WARNING: The script flask.exe is installed in 'C:\Users\butlej30383\AppData\Local\Programs\Python\Python312\Scripts' which is not on PATH.
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WARNING: The script dicomweb_client.exe is installed in 'C:\Users\butlej30383\AppData\Local\Programs\Python\Python312\Scripts' which is not on PATH.
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WARNING: The script alembic.exe is installed in 'C:\Users\butlej30383\AppData\Local\Programs\Python\Python312\Scripts' which is not on PATH.
Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
WARNING: The scripts girder-cli.exe and girder-client.exe are installed in 'C:\Users\butlej30383\AppData\Local\Programs\Python\Python312\Scripts' which is not on PATH.
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WARNING: The script gdown.exe is installed in 'C:\Users\butlej30383\AppData\Local\Programs\Python\Python312\Scripts' which is not on PATH.
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WARNING: The script fastapi.exe is installed in 'C:\Users\butlej30383\AppData\Local\Programs\Python\Python312\Scripts' which is not on PATH.
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WARNING: The script mlflow.exe is installed in 'C:\Users\butlej30383\AppData\Local\Programs\Python\Python312\Scripts' which is not on PATH.
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WARNING: The script mlflow.exe is installed in 'C:\Users\butlej30383\AppData\Local\Programs\Python\Python312\Scripts' which is not on PATH.
Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
Successfully installed Flask-3.0.3 Jinja2-3.1.4 Mako-1.3.6 MarkupSafe-3.0.2 Pillow-11.0.0 PySocks-1.7.1 SimpleITK-2.4.0 absl-py-2.1.0 alembic-1.13.3 annotated-types-0.7.0 anyio-4.6.2.post1 attrs-24.2.0 bcrypt-4.2.0 beautifulsoup4-4.12.3 blinker-1.8.2 cachetools-5.5.0 certifi-2024.8.30 charset-normalizer-3.4.0 click-8.1.7 cloudpickle-3.1.0 colorama-0.4.6 contourpy-1.3.0 cycler-0.12.1 databricks-sdk-0.36.0 deprecated-1.2.14 dicomweb-client-0.59.3 diskcache-5.6.3 docker-7.1.0 einops-0.8.0 expiring-dict-1.1.1 expiringdict-1.2.2 fastapi-0.115.4 filelock-3.16.1 fire-0.7.0 fonttools-4.54.1 fsspec-2024.10.0 gdown-5.2.0 girder-client-3.2.6 gitdb-4.0.11 gitpython-3.1.43 google-auth-2.35.0 graphene-3.4.1 graphql-core-3.2.5 graphql-relay-3.2.0 greenlet-3.1.1 grpcio-1.67.1 h11-0.14.0 httpcore-1.0.6 httpx-0.27.2 idna-3.10 imageio-2.36.0 importlib-metadata-8.4.0 itk-5.4.0 itk-core-5.4.0 itk-filtering-5.4.0 itk-io-5.4.0 itk-numerics-5.4.0 itk-registration-5.4.0 itk-segmentation-5.4.0 itsdangerous-2.2.0 joblib-1.4.2 jsonschema-3.2.0 kiwisolver-1.4.7 lazy-loader-0.4 lmdb-1.5.1 markdown-3.7 matplotlib-3.9.2 mlflow-2.17.1 mlflow-skinny-2.17.1 monai-1.4.0 monailabel-0.8.4 mpmath-1.3.0 networkx-3.4.2 nibabel-5.3.2 ninja-1.11.1.1 nptyping-2.5.0 numpy-1.26.4 numpymaxflow-0.0.7 openslide-python-1.4.1 opentelemetry-api-1.27.0 opentelemetry-sdk-1.27.0 opentelemetry-semantic-conventions-0.48b0 packaging-24.1 pandas-2.2.3 passlib-1.7.4 protobuf-5.28.3 psutil-6.1.0 pyarrow-17.0.0 pyasn1-0.6.1 pyasn1-modules-0.4.1 pydantic-2.9.2 pydantic-core-2.23.4 pydantic-settings-2.6.0 pydicom-2.4.4 pydicom-seg-0.4.1 pyjwt-2.9.0 pynetdicom-2.1.1 pynrrd-1.0.0 pyparsing-3.2.0 pyrsistent-0.20.0 python-dateutil-2.9.0.post0 python-dotenv-1.0.1 python-multipart-0.0.16 pytorch-ignite-0.4.11 pytz-2024.2 pywin32-308 pyyaml-6.0.2 requests-2.32.3 requests-toolbelt-1.0.0 retrying-1.3.4 rsa-4.9 schedule-1.2.2 scikit-image-0.24.0 scikit-learn-1.5.2 scipy-1.14.1 setuptools-75.3.0 shapely-2.0.6 six-1.16.0 smmap-5.0.1 sniffio-1.3.1 sortedcontainers-2.4.0 soupsieve-2.6 sqlalchemy-2.0.36 sqlparse-0.5.1 starlette-0.41.2 sympy-1.13.1 tensorboard-2.18.0 tensorboard-data-server-0.7.2 termcolor-2.5.0 threadpoolctl-3.5.0 tifffile-2024.9.20 timeloop-1.0.2 torch-2.5.1 torchvision-0.20.1 tqdm-4.66.6 typing-extensions-4.12.2 tzdata-2024.2 urllib3-2.2.3 uvicorn-0.32.0 waitress-3.0.1 watchdog-5.0.3 werkzeug-3.0.6 wrapt-1.16.0 zipp-3.20.2
[notice] A new release of pip is available: 24.2 -> 24.3.1
[notice] To update, run: python.exe -m pip install --upgrade pip
PS C:\Users\butlej30383\AppData\Local\Programs\Python\Python312> |
Describe the bug
I run into issues running
pip install monailabel
using Python 3.12. I was able to successfully runpip install monai
successfully though.Currently the project specifies that it should be able to be installed on python 3.8 or newer which would include Python 3.12 (originally released October 2, 2023).
MONAILabel/setup.cfg
Line 30 in ac65ad3
To Reproduce
Steps to reproduce the behavior:
pip install monailabel
pip install monai
Expected behavior
monailabel
should be able to install from pypi using Python 3.12.Environment
Python 3.12.7
Windows
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