Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Installation from source seems to require torch and numpy to be installed first (at least in some cases) #56

Open
DrShushen opened this issue Dec 29, 2022 · 1 comment
Open

Installation from source seems to require torch and numpy to be installed first (at least in some cases) #56

DrShushen opened this issue Dec 29, 2022 · 1 comment

Comments

@DrShushen
Copy link
Member

When running

cd autoprognosis
pip install .

installation initially failed due to lack of torch installed, then due to lack of numpy installed. Installing those via pip install first fixes the issue.

See full installation logs 
(playaround_py38_autoprognosis) user@computer:/some_path/autoprognosis$ pip install .
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com, https://pypi.ngc.nvidia.com
Processing /some_path/autoprognosis
  Installing build dependencies ... done
  Getting requirements to build wheel ... done
  Preparing metadata (pyproject.toml) ... done
Collecting pyod
  Downloading pyod-1.0.7.tar.gz (147 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 147.7/147.7 kB 3.4 MB/s eta 0:00:00
  Preparing metadata (setup.py) ... done
Collecting torch>=1.10
  Downloading torch-1.13.1-cp38-cp38-manylinux1_x86_64.whl (887.4 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 887.4/887.4 MB 8.5 MB/s eta 0:00:00
Collecting optuna>=1.4.0
  Downloading optuna-3.0.5-py3-none-any.whl (348 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 348.5/348.5 kB 65.0 MB/s eta 0:00:00
Collecting hyperimpute
  Downloading hyperimpute-0.1.12-py3-none-any.whl (99 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 99.5/99.5 kB 360.4 MB/s eta 0:00:00
Collecting scipy>=1.3.2
  Downloading scipy-1.9.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (33.8 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 33.8/33.8 MB 5.5 MB/s eta 0:00:00
Collecting matplotlib
  Downloading matplotlib-3.6.2-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (9.4 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 9.4/9.4 MB 47.4 MB/s eta 0:00:00
Collecting loguru
  Downloading loguru-0.6.0-py3-none-any.whl (58 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 58.3/58.3 kB 330.6 MB/s eta 0:00:00
Collecting joblib
  Downloading joblib-1.2.0-py3-none-any.whl (297 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 298.0/298.0 kB 69.4 MB/s eta 0:00:00
Collecting scikit-learn>=1.0
  Downloading scikit_learn-1.2.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (9.7 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 9.7/9.7 MB 1.7 MB/s eta 0:00:00
Collecting seaborn
  Downloading seaborn-0.12.1-py3-none-any.whl (288 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 288.2/288.2 kB 213.7 MB/s eta 0:00:00
Collecting pandas>=1.3
  Downloading pandas-1.5.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.2 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 12.2/12.2 MB 1.0 MB/s eta 0:00:00
Collecting lifelines
  Downloading lifelines-0.27.4-py3-none-any.whl (349 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 349.7/349.7 kB 273.2 MB/s eta 0:00:00
Collecting cloudpickle
  Downloading cloudpickle-2.2.0-py3-none-any.whl (25 kB)
Collecting pydantic
  Downloading pydantic-1.10.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.2 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3.2/3.2 MB 2.3 MB/s eta 0:00:00
Collecting redis
  Downloading redis-4.4.0-py3-none-any.whl (236 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 236.4/236.4 kB 418.5 MB/s eta 0:00:00
Collecting shap>=0.40.0
  Downloading shap-0.41.0-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (575 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 575.9/575.9 kB 1.0 MB/s eta 0:00:00
Collecting numpy>=1.20
  Downloading numpy-1.24.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (17.3 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 17.3/17.3 MB 1.4 MB/s eta 0:00:00
Collecting colorlog
  Downloading colorlog-6.7.0-py2.py3-none-any.whl (11 kB)
Collecting sqlalchemy>=1.3.0
  Downloading SQLAlchemy-1.4.45-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.6 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.6/1.6 MB 2.4 MB/s eta 0:00:00
Collecting cmaes>=0.8.2
  Downloading cmaes-0.9.0-py3-none-any.whl (23 kB)
Collecting cliff
  Downloading cliff-4.1.0-py3-none-any.whl (81 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 81.0/81.0 kB 9.8 MB/s eta 0:00:00
Collecting tqdm
  Downloading tqdm-4.64.1-py2.py3-none-any.whl (78 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 78.5/78.5 kB 12.1 MB/s eta 0:00:00
Requirement already satisfied: packaging>=20.0 in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from optuna>=1.4.0->autoprognosis==0.1.14) (22.0)
Requirement already satisfied: PyYAML in /home/user/.local/lib/python3.8/site-packages (from optuna>=1.4.0->autoprognosis==0.1.14) (6.0)
Collecting scipy>=1.3.2
  Downloading scipy-1.8.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (41.6 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 41.6/41.6 MB 5.0 MB/s eta 0:00:00
Requirement already satisfied: importlib-metadata<5.0.0 in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from optuna>=1.4.0->autoprognosis==0.1.14) (4.11.3)
Collecting alembic>=1.5.0
  Downloading alembic-1.9.1-py3-none-any.whl (210 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 210.4/210.4 kB 429.3 kB/s eta 0:00:00
Requirement already satisfied: python-dateutil>=2.8.1 in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from pandas>=1.3->autoprognosis==0.1.14) (2.8.2)
Requirement already satisfied: pytz>=2020.1 in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from pandas>=1.3->autoprognosis==0.1.14) (2022.7)
Collecting threadpoolctl>=2.0.0
  Downloading threadpoolctl-3.1.0-py3-none-any.whl (14 kB)
Collecting numba
  Downloading numba-0.56.4-cp38-cp38-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (3.5 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3.5/3.5 MB 5.9 MB/s eta 0:00:00
Collecting slicer==0.0.7
  Downloading slicer-0.0.7-py3-none-any.whl (14 kB)
Collecting nvidia-cuda-runtime-cu11==11.7.99
  Downloading nvidia_cuda_runtime_cu11-11.7.99-py3-none-manylinux1_x86_64.whl (849 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 849.3/849.3 kB 36.7 MB/s eta 0:00:00
Requirement already satisfied: typing-extensions in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from torch>=1.10->autoprognosis==0.1.14) (4.4.0)
Collecting nvidia-cublas-cu11==11.10.3.66
  Downloading nvidia_cublas_cu11-11.10.3.66-py3-none-manylinux1_x86_64.whl (317.1 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 317.1/317.1 MB 971.5 kB/s eta 0:00:00
Collecting nvidia-cudnn-cu11==8.5.0.96
  Downloading nvidia_cudnn_cu11-8.5.0.96-2-py3-none-manylinux1_x86_64.whl (557.1 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 557.1/557.1 MB 10.0 MB/s eta 0:00:00
Collecting nvidia-cuda-nvrtc-cu11==11.7.99
  Downloading nvidia_cuda_nvrtc_cu11-11.7.99-2-py3-none-manylinux1_x86_64.whl (21.0 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 21.0/21.0 MB 2.6 MB/s eta 0:00:00
Requirement already satisfied: wheel in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from nvidia-cublas-cu11==11.10.3.66->torch>=1.10->autoprognosis==0.1.14) (0.37.1)
Requirement already satisfied: setuptools in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from nvidia-cublas-cu11==11.10.3.66->torch>=1.10->autoprognosis==0.1.14) (65.5.0)
Collecting xgboost>=1.6.1
  Downloading xgboost-1.7.2-py3-none-manylinux2014_x86_64.whl (193.6 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 193.6/193.6 MB 47.5 MB/s eta 0:00:00
Collecting gpboost
  Downloading gpboost-0.8.0.1-py3-none-manylinux1_x86_64.whl (3.0 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3.0/3.0 MB 1.1 MB/s eta 0:00:00
Collecting geomloss
  Downloading geomloss-0.2.5.tar.gz (26 kB)
  Preparing metadata (setup.py) ... error
  error: subprocess-exited-with-error

  × python setup.py egg_info did not run successfully.
  │ exit code: 1
  ╰─> [10 lines of output]
      Traceback (most recent call last):
        File "<string>", line 2, in <module>
        File "<pip-setuptools-caller>", line 34, in <module>
        File "/tmp/pip-install-x3ql65lp/geomloss_e98b1548ad7949c7b79cd9fce931bcc9/setup.py", line 14, in <module>
          import geomloss
        File "/tmp/pip-install-x3ql65lp/geomloss_e98b1548ad7949c7b79cd9fce931bcc9/geomloss/__init__.py", line 5, in <module>
          from .samples_loss import SamplesLoss
        File "/tmp/pip-install-x3ql65lp/geomloss_e98b1548ad7949c7b79cd9fce931bcc9/geomloss/samples_loss.py", line 1, in <module>
          import torch
      ModuleNotFoundError: No module named 'torch'
      [end of output]

  note: This error originates from a subprocess, and is likely not a problem with pip.
error: metadata-generation-failed

× Encountered error while generating package metadata.
╰─> See above for output.

note: This is an issue with the package mentioned above, not pip.
hint: See above for details.
(playaround_py38_autoprognosis) user@computer:/some_path/autoprognosis$ python
Python 3.8.15 (default, Nov 24 2022, 15:19:38)
[GCC 11.2.0] :: Anaconda, Inc. on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import torch
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
ModuleNotFoundError: No module named 'torch'
>>>
(playaround_py38_autoprognosis) user@computer:/some_path/autoprognosis$ pip install torch
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com, https://pypi.ngc.nvidia.com
Collecting torch
  Downloading torch-1.13.1-cp38-cp38-manylinux1_x86_64.whl (887.4 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 887.4/887.4 MB 55.8 MB/s eta 0:00:00
Requirement already satisfied: typing-extensions in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from torch) (4.4.0)
Collecting nvidia-cuda-nvrtc-cu11==11.7.99
  Downloading nvidia_cuda_nvrtc_cu11-11.7.99-2-py3-none-manylinux1_x86_64.whl (21.0 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 21.0/21.0 MB 7.6 MB/s eta 0:00:00
Collecting nvidia-cudnn-cu11==8.5.0.96
  Downloading nvidia_cudnn_cu11-8.5.0.96-2-py3-none-manylinux1_x86_64.whl (557.1 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 557.1/557.1 MB 67.1 MB/s eta 0:00:00
Collecting nvidia-cublas-cu11==11.10.3.66
  Downloading nvidia_cublas_cu11-11.10.3.66-py3-none-manylinux1_x86_64.whl (317.1 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 317.1/317.1 MB 63.9 MB/s eta 0:00:00
Collecting nvidia-cuda-runtime-cu11==11.7.99
  Downloading nvidia_cuda_runtime_cu11-11.7.99-py3-none-manylinux1_x86_64.whl (849 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 849.3/849.3 kB 163.0 MB/s eta 0:00:00
Requirement already satisfied: wheel in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from nvidia-cublas-cu11==11.10.3.66->torch) (0.37.1)
Requirement already satisfied: setuptools in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from nvidia-cublas-cu11==11.10.3.66->torch) (65.5.0)
Installing collected packages: nvidia-cuda-runtime-cu11, nvidia-cuda-nvrtc-cu11, nvidia-cublas-cu11, nvidia-cudnn-cu11, torch
  Attempting uninstall: nvidia-cuda-runtime-cu11
    Found existing installation: nvidia-cuda-runtime-cu11 11.8.89
    Uninstalling nvidia-cuda-runtime-cu11-11.8.89:
      Successfully uninstalled nvidia-cuda-runtime-cu11-11.8.89
  Attempting uninstall: nvidia-cublas-cu11
    Found existing installation: nvidia-cublas-cu11 11.11.3.6
    Uninstalling nvidia-cublas-cu11-11.11.3.6:
      Successfully uninstalled nvidia-cublas-cu11-11.11.3.6
  Attempting uninstall: nvidia-cudnn-cu11
    Found existing installation: nvidia-cudnn-cu11 8.6.0.163
    Uninstalling nvidia-cudnn-cu11-8.6.0.163:
      Successfully uninstalled nvidia-cudnn-cu11-8.6.0.163
Successfully installed nvidia-cublas-cu11-11.10.3.66 nvidia-cuda-nvrtc-cu11-11.7.99 nvidia-cuda-runtime-cu11-11.7.99 nvidia-cudnn-cu11-8.5.0.96 torch-1.13.1
(playaround_py38_autoprognosis) user@computer:/some_path/autoprognosis$ pip install .
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com, https://pypi.ngc.nvidia.com
Processing /some_path/autoprognosis
  Installing build dependencies ... done
  Getting requirements to build wheel ... done
  Preparing metadata (pyproject.toml) ... done
Collecting seaborn
  Downloading seaborn-0.12.1-py3-none-any.whl (288 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 288.2/288.2 kB 54.9 kB/s eta 0:00:00
Collecting loguru
  Downloading loguru-0.6.0-py3-none-any.whl (58 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 58.3/58.3 kB 321.4 MB/s eta 0:00:00
Collecting pydantic
  Downloading pydantic-1.10.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.2 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3.2/3.2 MB 1.2 MB/s eta 0:00:00
Collecting redis
  Downloading redis-4.4.0-py3-none-any.whl (236 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 236.4/236.4 kB 2.7 MB/s eta 0:00:00
Collecting optuna>=1.4.0
  Downloading optuna-3.0.5-py3-none-any.whl (348 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 348.5/348.5 kB 303.3 MB/s eta 0:00:00
Collecting cloudpickle
  Downloading cloudpickle-2.2.0-py3-none-any.whl (25 kB)
Collecting lifelines
  Downloading lifelines-0.27.4-py3-none-any.whl (349 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 349.7/349.7 kB 2.5 MB/s eta 0:00:00
Collecting shap>=0.40.0
  Downloading shap-0.41.0-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (575 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 575.9/575.9 kB 2.6 MB/s eta 0:00:00
Collecting joblib
  Downloading joblib-1.2.0-py3-none-any.whl (297 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 298.0/298.0 kB 263.6 kB/s eta 0:00:00
Collecting hyperimpute
  Downloading hyperimpute-0.1.12-py3-none-any.whl (99 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 99.5/99.5 kB 2.9 MB/s eta 0:00:00
Collecting pandas>=1.3
  Downloading pandas-1.5.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.2 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 12.2/12.2 MB 1.1 MB/s eta 0:00:00
Requirement already satisfied: torch>=1.10 in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from autoprognosis==0.1.14) (1.13.1)
Collecting matplotlib
  Downloading matplotlib-3.6.2-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (9.4 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 9.4/9.4 MB 4.9 MB/s eta 0:00:00
Collecting numpy>=1.20
  Downloading numpy-1.24.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (17.3 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 17.3/17.3 MB 1.6 MB/s eta 0:00:00
Collecting scikit-learn>=1.0
  Downloading scikit_learn-1.2.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (9.7 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 9.7/9.7 MB 1.3 MB/s eta 0:00:00
Collecting scipy>=1.3.2
  Downloading scipy-1.9.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (33.8 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 33.8/33.8 MB 38.3 MB/s eta 0:00:00
Collecting pyod
  Downloading pyod-1.0.7.tar.gz (147 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 147.7/147.7 kB 169.7 MB/s eta 0:00:00
  Preparing metadata (setup.py) ... done
Collecting cliff
  Downloading cliff-4.1.0-py3-none-any.whl (81 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 81.0/81.0 kB 66.3 MB/s eta 0:00:00
Collecting sqlalchemy>=1.3.0
  Downloading SQLAlchemy-1.4.45-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.6 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.6/1.6 MB 162.7 MB/s eta 0:00:00
Collecting alembic>=1.5.0
  Downloading alembic-1.9.1-py3-none-any.whl (210 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 210.4/210.4 kB 148.7 MB/s eta 0:00:00
Collecting scipy>=1.3.2
  Downloading scipy-1.8.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (41.6 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 41.6/41.6 MB 2.1 MB/s eta 0:00:00
Collecting tqdm
  Downloading tqdm-4.64.1-py2.py3-none-any.whl (78 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 78.5/78.5 kB 146.2 kB/s eta 0:00:00
Collecting colorlog
  Downloading colorlog-6.7.0-py2.py3-none-any.whl (11 kB)
Collecting cmaes>=0.8.2
  Downloading cmaes-0.9.0-py3-none-any.whl (23 kB)
Requirement already satisfied: importlib-metadata<5.0.0 in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from optuna>=1.4.0->autoprognosis==0.1.14) (4.11.3)
Requirement already satisfied: packaging>=20.0 in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from optuna>=1.4.0->autoprognosis==0.1.14) (22.0)
Requirement already satisfied: PyYAML in /home/user/.local/lib/python3.8/site-packages (from optuna>=1.4.0->autoprognosis==0.1.14) (6.0)
Requirement already satisfied: pytz>=2020.1 in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from pandas>=1.3->autoprognosis==0.1.14) (2022.7)
Requirement already satisfied: python-dateutil>=2.8.1 in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from pandas>=1.3->autoprognosis==0.1.14) (2.8.2)
Collecting threadpoolctl>=2.0.0
  Downloading threadpoolctl-3.1.0-py3-none-any.whl (14 kB)
Collecting numba
  Downloading numba-0.56.4-cp38-cp38-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (3.5 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3.5/3.5 MB 22.0 MB/s eta 0:00:00
Collecting slicer==0.0.7
  Downloading slicer-0.0.7-py3-none-any.whl (14 kB)
Requirement already satisfied: nvidia-cuda-runtime-cu11==11.7.99 in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from torch>=1.10->autoprognosis==0.1.14) (11.7.99)
Requirement already satisfied: typing-extensions in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from torch>=1.10->autoprognosis==0.1.14) (4.4.0)
Requirement already satisfied: nvidia-cudnn-cu11==8.5.0.96 in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from torch>=1.10->autoprognosis==0.1.14) (8.5.0.96)
Requirement already satisfied: nvidia-cublas-cu11==11.10.3.66 in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from torch>=1.10->autoprognosis==0.1.14) (11.10.3.66)
Requirement already satisfied: nvidia-cuda-nvrtc-cu11==11.7.99 in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from torch>=1.10->autoprognosis==0.1.14) (11.7.99)
Requirement already satisfied: setuptools in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from nvidia-cublas-cu11==11.10.3.66->torch>=1.10->autoprognosis==0.1.14) (65.5.0)
Requirement already satisfied: wheel in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from nvidia-cublas-cu11==11.10.3.66->torch>=1.10->autoprognosis==0.1.14) (0.37.1)
Collecting catboost>=1.0.5
  Downloading catboost-1.1.1-cp38-none-manylinux1_x86_64.whl (76.6 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 76.6/76.6 MB 60.6 MB/s eta 0:00:00
Collecting miracle-imputation>=0.1.3
  Downloading miracle_imputation-0.1.5-py3-none-any.whl (15 kB)
Collecting jupyter
  Downloading jupyter-1.0.0-py2.py3-none-any.whl (2.7 kB)
Collecting geomloss
  Downloading geomloss-0.2.5.tar.gz (26 kB)
  Preparing metadata (setup.py) ... error
  error: subprocess-exited-with-error

  × python setup.py egg_info did not run successfully.
  │ exit code: 1
  ╰─> [12 lines of output]
      Traceback (most recent call last):
        File "<string>", line 2, in <module>
        File "<pip-setuptools-caller>", line 34, in <module>
        File "/tmp/pip-install-mdmdyc9w/geomloss_893fc7852ae740dd8ac31412e774bc78/setup.py", line 14, in <module>
          import geomloss
        File "/tmp/pip-install-mdmdyc9w/geomloss_893fc7852ae740dd8ac31412e774bc78/geomloss/__init__.py", line 5, in <module>
          from .samples_loss import SamplesLoss
        File "/tmp/pip-install-mdmdyc9w/geomloss_893fc7852ae740dd8ac31412e774bc78/geomloss/samples_loss.py", line 6, in <module>
          from .kernel_samples import kernel_tensorized, kernel_online, kernel_multiscale
        File "/tmp/pip-install-mdmdyc9w/geomloss_893fc7852ae740dd8ac31412e774bc78/geomloss/kernel_samples.py", line 22, in <module>
          import numpy as np
      ModuleNotFoundError: No module named 'numpy'
      [end of output]

  note: This error originates from a subprocess, and is likely not a problem with pip.
error: metadata-generation-failed

× Encountered error while generating package metadata.
╰─> See above for output.

note: This is an issue with the package mentioned above, not pip.
hint: See above for details.
(playaround_py38_autoprognosis) user@computer:/some_path/autoprognosis$ pip install numpy
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com, https://pypi.ngc.nvidia.com
Collecting numpy
  Downloading numpy-1.24.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (17.3 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 17.3/17.3 MB 11.7 MB/s eta 0:00:00
Installing collected packages: numpy
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
keras-applications 1.0.8 requires h5py, which is not installed.
Successfully installed numpy-1.24.1
(playaround_py38_autoprognosis) user@computer:/some_path/autoprognosis$ pip install .
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com, https://pypi.ngc.nvidia.com
Processing /some_path/autoprognosis
  Installing build dependencies ... done
  Getting requirements to build wheel ... done
  Preparing metadata (pyproject.toml) ... done
Collecting seaborn
  Downloading seaborn-0.12.1-py3-none-any.whl (288 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 288.2/288.2 kB 164.5 kB/s eta 0:00:00
Collecting pandas>=1.3
  Downloading pandas-1.5.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.2 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 12.2/12.2 MB 3.2 MB/s eta 0:00:00
Collecting matplotlib
  Downloading matplotlib-3.6.2-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (9.4 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 9.4/9.4 MB 1.8 MB/s eta 0:00:00
Collecting shap>=0.40.0
  Downloading shap-0.41.0-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (575 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 575.9/575.9 kB 3.4 MB/s eta 0:00:00
Collecting cloudpickle
  Downloading cloudpickle-2.2.0-py3-none-any.whl (25 kB)
Collecting redis
  Downloading redis-4.4.0-py3-none-any.whl (236 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 236.4/236.4 kB 414.3 MB/s eta 0:00:00
Collecting optuna>=1.4.0
  Downloading optuna-3.0.5-py3-none-any.whl (348 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 348.5/348.5 kB 2.8 MB/s eta 0:00:00
Collecting lifelines
  Downloading lifelines-0.27.4-py3-none-any.whl (349 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 349.7/349.7 kB 91.4 MB/s eta 0:00:00
Collecting hyperimpute
  Downloading hyperimpute-0.1.12-py3-none-any.whl (99 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 99.5/99.5 kB 6.8 MB/s eta 0:00:00
Collecting pydantic
  Downloading pydantic-1.10.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.2 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3.2/3.2 MB 4.4 MB/s eta 0:00:00
Requirement already satisfied: torch>=1.10 in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from autoprognosis==0.1.14) (1.13.1)
Collecting joblib
  Downloading joblib-1.2.0-py3-none-any.whl (297 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 298.0/298.0 kB 8.1 MB/s eta 0:00:00
Collecting loguru
  Downloading loguru-0.6.0-py3-none-any.whl (58 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 58.3/58.3 kB 20.1 MB/s eta 0:00:00
Collecting scipy>=1.3.2
  Downloading scipy-1.9.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (33.8 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 33.8/33.8 MB 29.3 MB/s eta 0:00:00
Collecting scikit-learn>=1.0
  Downloading scikit_learn-1.2.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (9.7 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 9.7/9.7 MB 13.4 MB/s eta 0:00:00
Requirement already satisfied: numpy>=1.20 in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from autoprognosis==0.1.14) (1.24.1)
Collecting pyod
  Downloading pyod-1.0.7.tar.gz (147 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 147.7/147.7 kB 131.2 MB/s eta 0:00:00
  Preparing metadata (setup.py) ... done
Collecting colorlog
  Downloading colorlog-6.7.0-py2.py3-none-any.whl (11 kB)
Collecting tqdm
  Downloading tqdm-4.64.1-py2.py3-none-any.whl (78 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 78.5/78.5 kB 370.5 MB/s eta 0:00:00
Requirement already satisfied: importlib-metadata<5.0.0 in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from optuna>=1.4.0->autoprognosis==0.1.14) (4.11.3)
Collecting cliff
  Downloading cliff-4.1.0-py3-none-any.whl (81 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 81.0/81.0 kB 348.2 MB/s eta 0:00:00
Requirement already satisfied: packaging>=20.0 in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from optuna>=1.4.0->autoprognosis==0.1.14) (22.0)
Requirement already satisfied: PyYAML in /home/user/.local/lib/python3.8/site-packages (from optuna>=1.4.0->autoprognosis==0.1.14) (6.0)
Collecting scipy>=1.3.2
  Downloading scipy-1.8.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (41.6 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 41.6/41.6 MB 5.9 MB/s eta 0:00:00
Collecting sqlalchemy>=1.3.0
  Downloading SQLAlchemy-1.4.45-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.6 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.6/1.6 MB 8.2 MB/s eta 0:00:00
Collecting alembic>=1.5.0
  Downloading alembic-1.9.1-py3-none-any.whl (210 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 210.4/210.4 kB 21.5 MB/s eta 0:00:00
Collecting cmaes>=0.8.2
  Downloading cmaes-0.9.0-py3-none-any.whl (23 kB)
Requirement already satisfied: python-dateutil>=2.8.1 in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from pandas>=1.3->autoprognosis==0.1.14) (2.8.2)
Requirement already satisfied: pytz>=2020.1 in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from pandas>=1.3->autoprognosis==0.1.14) (2022.7)
Collecting threadpoolctl>=2.0.0
  Downloading threadpoolctl-3.1.0-py3-none-any.whl (14 kB)
Collecting slicer==0.0.7
  Downloading slicer-0.0.7-py3-none-any.whl (14 kB)
Collecting numba
  Downloading numba-0.56.4-cp38-cp38-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (3.5 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3.5/3.5 MB 2.7 MB/s eta 0:00:00
Requirement already satisfied: typing-extensions in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from torch>=1.10->autoprognosis==0.1.14) (4.4.0)
Requirement already satisfied: nvidia-cudnn-cu11==8.5.0.96 in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from torch>=1.10->autoprognosis==0.1.14) (8.5.0.96)
Requirement already satisfied: nvidia-cuda-nvrtc-cu11==11.7.99 in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from torch>=1.10->autoprognosis==0.1.14) (11.7.99)
Requirement already satisfied: nvidia-cuda-runtime-cu11==11.7.99 in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from torch>=1.10->autoprognosis==0.1.14) (11.7.99)
Requirement already satisfied: nvidia-cublas-cu11==11.10.3.66 in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from torch>=1.10->autoprognosis==0.1.14) (11.10.3.66)
Requirement already satisfied: wheel in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from nvidia-cublas-cu11==11.10.3.66->torch>=1.10->autoprognosis==0.1.14) (0.37.1)
Requirement already satisfied: setuptools in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from nvidia-cublas-cu11==11.10.3.66->torch>=1.10->autoprognosis==0.1.14) (65.5.0)
Collecting lightgbm
  Downloading lightgbm-3.3.3-py3-none-manylinux1_x86_64.whl (2.0 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2.0/2.0 MB 2.8 MB/s eta 0:00:00
Collecting gpboost
  Downloading gpboost-0.8.0.1-py3-none-manylinux1_x86_64.whl (3.0 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3.0/3.0 MB 2.8 MB/s eta 0:00:00
Collecting jupyter
  Downloading jupyter-1.0.0-py2.py3-none-any.whl (2.7 kB)
Collecting xgboost>=1.6.1
  Downloading xgboost-1.7.2-py3-none-manylinux2014_x86_64.whl (193.6 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 193.6/193.6 MB 2.2 MB/s eta 0:00:00
Collecting catboost>=1.0.5
  Downloading catboost-1.1.1-cp38-none-manylinux1_x86_64.whl (76.6 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 76.6/76.6 MB 58.9 MB/s eta 0:00:00
Collecting geomloss
  Downloading geomloss-0.2.5.tar.gz (26 kB)
  Preparing metadata (setup.py) ... done
Collecting miracle-imputation>=0.1.3
  Downloading miracle_imputation-0.1.5-py3-none-any.whl (15 kB)
Requirement already satisfied: notebook in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from hyperimpute->autoprognosis==0.1.14) (6.5.2)
Collecting autograd>=1.5
  Downloading autograd-1.5-py3-none-any.whl (48 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 48.9/48.9 kB 310.5 MB/s eta 0:00:00
Collecting autograd-gamma>=0.3
  Downloading autograd-gamma-0.5.0.tar.gz (4.0 kB)
  Preparing metadata (setup.py) ... done
Collecting formulaic>=0.2.2
  Downloading formulaic-0.5.2-py3-none-any.whl (77 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 77.1/77.1 kB 33.3 MB/s eta 0:00:00
Collecting cycler>=0.10
  Downloading cycler-0.11.0-py3-none-any.whl (6.4 kB)
Collecting pillow>=6.2.0
  Downloading Pillow-9.3.0-cp38-cp38-manylinux_2_28_x86_64.whl (3.3 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3.3/3.3 MB 7.6 MB/s eta 0:00:00
Collecting pyparsing>=2.2.1
  Downloading pyparsing-3.0.9-py3-none-any.whl (98 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 98.3/98.3 kB 365.3 MB/s eta 0:00:00
Collecting fonttools>=4.22.0
  Downloading fonttools-4.38.0-py3-none-any.whl (965 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 965.4/965.4 kB 141.2 MB/s eta 0:00:00
Collecting contourpy>=1.0.1
  Downloading contourpy-1.0.6-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (295 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 296.0/296.0 kB 3.1 MB/s eta 0:00:00
Collecting kiwisolver>=1.0.1
  Downloading kiwisolver-1.4.4-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl (1.2 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.2/1.2 MB 68.2 MB/s eta 0:00:00
Requirement already satisfied: six in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from pyod->autoprognosis==0.1.14) (1.16.0)
Collecting statsmodels
  Downloading statsmodels-0.13.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (9.9 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 9.9/9.9 MB 1.5 MB/s eta 0:00:00
Collecting async-timeout>=4.0.2
  Downloading async_timeout-4.0.2-py3-none-any.whl (5.8 kB)
Requirement already satisfied: importlib-resources in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from alembic>=1.5.0->optuna>=1.4.0->autoprognosis==0.1.14) (5.2.0)
Collecting Mako
  Downloading Mako-1.2.4-py3-none-any.whl (78 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 78.7/78.7 kB 337.5 MB/s eta 0:00:00
Collecting future>=0.15.2
  Downloading future-0.18.2.tar.gz (829 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 829.2/829.2 kB 4.9 MB/s eta 0:00:00
  Preparing metadata (setup.py) ... done
Collecting plotly
  Downloading plotly-5.11.0-py2.py3-none-any.whl (15.3 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 15.3/15.3 MB 11.6 MB/s eta 0:00:00
Collecting graphviz
  Downloading graphviz-0.20.1-py3-none-any.whl (47 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 47.0/47.0 kB 134.0 MB/s eta 0:00:00
Collecting interface-meta>=1.2.0
  Downloading interface_meta-1.3.0-py3-none-any.whl (14 kB)
Requirement already satisfied: wrapt>=1.0 in /home/user/.local/lib/python3.8/site-packages (from formulaic>=0.2.2->lifelines->autoprognosis==0.1.14) (1.14.1)
Collecting graphlib-backport>=1.0.0
  Downloading graphlib_backport-1.0.3-py3-none-any.whl (5.1 kB)
Requirement already satisfied: astor>=0.8 in /home/user/.local/lib/python3.8/site-packages (from formulaic>=0.2.2->lifelines->autoprognosis==0.1.14) (0.8.1)
Requirement already satisfied: zipp>=0.5 in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from importlib-metadata<5.0.0->optuna>=1.4.0->autoprognosis==0.1.14) (3.8.0)
Collecting tensorflow>=2.0
  Downloading tensorflow-2.11.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (588.3 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 588.3/588.3 MB 2.6 MB/s eta 0:00:00
Collecting llvmlite<0.40,>=0.39.0dev0
  Downloading llvmlite-0.39.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (34.6 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 34.6/34.6 MB 4.0 MB/s eta 0:00:00
Collecting numpy>=1.20
  Downloading numpy-1.23.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (17.1 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 17.1/17.1 MB 5.3 MB/s eta 0:00:00
Collecting greenlet!=0.4.17
  Downloading greenlet-2.0.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (544 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 544.0/544.0 kB 225.1 MB/s eta 0:00:00
Collecting PrettyTable>=0.7.2
  Downloading prettytable-3.5.0-py3-none-any.whl (26 kB)
Collecting stevedore>=2.0.1
  Downloading stevedore-4.1.1-py3-none-any.whl (50 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 50.0/50.0 kB 305.0 MB/s eta 0:00:00
Collecting cmd2>=1.0.0
  Downloading cmd2-2.4.2-py3-none-any.whl (147 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 147.1/147.1 kB 30.8 MB/s eta 0:00:00
Collecting autopage>=0.4.0
  Downloading autopage-0.5.1-py3-none-any.whl (29 kB)
Requirement already satisfied: ipykernel in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from jupyter->hyperimpute->autoprognosis==0.1.14) (6.15.2)
Collecting qtconsole
  Downloading qtconsole-5.4.0-py3-none-any.whl (121 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 121.0/121.0 kB 389.6 MB/s eta 0:00:00
Collecting jupyter-console
  Downloading jupyter_console-6.4.4-py3-none-any.whl (22 kB)
Requirement already satisfied: nbconvert in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from jupyter->hyperimpute->autoprognosis==0.1.14) (6.5.4)
Collecting ipywidgets
  Downloading ipywidgets-8.0.4-py3-none-any.whl (137 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 137.8/137.8 kB 8.4 MB/s eta 0:00:00
Requirement already satisfied: terminado>=0.8.3 in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from notebook->hyperimpute->autoprognosis==0.1.14) (0.17.1)
Requirement already satisfied: jinja2 in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from notebook->hyperimpute->autoprognosis==0.1.14) (3.1.2)
Requirement already satisfied: ipython-genutils in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from notebook->hyperimpute->autoprognosis==0.1.14) (0.2.0)
Requirement already satisfied: tornado>=6.1 in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from notebook->hyperimpute->autoprognosis==0.1.14) (6.2)
Requirement already satisfied: Send2Trash>=1.8.0 in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from notebook->hyperimpute->autoprognosis==0.1.14) (1.8.0)
Requirement already satisfied: jupyter-core>=4.6.1 in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from notebook->hyperimpute->autoprognosis==0.1.14) (5.1.1)
Requirement already satisfied: nbformat in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from notebook->hyperimpute->autoprognosis==0.1.14) (5.7.0)
Requirement already satisfied: traitlets>=4.2.1 in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from notebook->hyperimpute->autoprognosis==0.1.14) (5.7.1)
Requirement already satisfied: argon2-cffi in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from notebook->hyperimpute->autoprognosis==0.1.14) (21.3.0)
Requirement already satisfied: pyzmq>=17 in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from notebook->hyperimpute->autoprognosis==0.1.14) (23.2.0)
Requirement already satisfied: jupyter-client>=5.3.4 in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from notebook->hyperimpute->autoprognosis==0.1.14) (7.4.8)
Requirement already satisfied: prometheus-client in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from notebook->hyperimpute->autoprognosis==0.1.14) (0.14.1)
Requirement already satisfied: nest-asyncio>=1.5 in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from notebook->hyperimpute->autoprognosis==0.1.14) (1.5.5)
Requirement already satisfied: nbclassic>=0.4.7 in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from notebook->hyperimpute->autoprognosis==0.1.14) (0.4.8)
Collecting patsy>=0.5.2
  Downloading patsy-0.5.3-py2.py3-none-any.whl (233 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 233.8/233.8 kB 329.6 MB/s eta 0:00:00
Collecting pyperclip>=1.6
  Downloading pyperclip-1.8.2.tar.gz (20 kB)
  Preparing metadata (setup.py) ... done
Requirement already satisfied: wcwidth>=0.1.7 in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from cmd2>=1.0.0->cliff->optuna>=1.4.0->autoprognosis==0.1.14) (0.2.5)
Requirement already satisfied: attrs>=16.3.0 in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from cmd2>=1.0.0->cliff->optuna>=1.4.0->autoprognosis==0.1.14) (22.1.0)
Requirement already satisfied: entrypoints in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from jupyter-client>=5.3.4->notebook->hyperimpute->autoprognosis==0.1.14) (0.4)
Requirement already satisfied: platformdirs>=2.5 in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from jupyter-core>=4.6.1->notebook->hyperimpute->autoprognosis==0.1.14) (2.5.2)
Requirement already satisfied: notebook-shim>=0.1.0 in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from nbclassic>=0.4.7->notebook->hyperimpute->autoprognosis==0.1.14) (0.2.2)
Requirement already satisfied: jupyter-server>=1.8 in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from nbclassic>=0.4.7->notebook->hyperimpute->autoprognosis==0.1.14) (1.23.4)
Requirement already satisfied: jupyterlab-pygments in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from nbconvert->jupyter->hyperimpute->autoprognosis==0.1.14) (0.1.2)
Requirement already satisfied: tinycss2 in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from nbconvert->jupyter->hyperimpute->autoprognosis==0.1.14) (1.2.1)
Requirement already satisfied: lxml in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from nbconvert->jupyter->hyperimpute->autoprognosis==0.1.14) (4.9.1)
Requirement already satisfied: bleach in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from nbconvert->jupyter->hyperimpute->autoprognosis==0.1.14) (4.1.0)
Requirement already satisfied: beautifulsoup4 in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from nbconvert->jupyter->hyperimpute->autoprognosis==0.1.14) (4.11.1)
Requirement already satisfied: MarkupSafe>=2.0 in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from nbconvert->jupyter->hyperimpute->autoprognosis==0.1.14) (2.1.1)
Requirement already satisfied: mistune<2,>=0.8.1 in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from nbconvert->jupyter->hyperimpute->autoprognosis==0.1.14) (0.8.4)
Requirement already satisfied: pygments>=2.4.1 in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from nbconvert->jupyter->hyperimpute->autoprognosis==0.1.14) (2.11.2)
Requirement already satisfied: defusedxml in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from nbconvert->jupyter->hyperimpute->autoprognosis==0.1.14) (0.7.1)
Requirement already satisfied: pandocfilters>=1.4.1 in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from nbconvert->jupyter->hyperimpute->autoprognosis==0.1.14) (1.5.0)
Requirement already satisfied: nbclient>=0.5.0 in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from nbconvert->jupyter->hyperimpute->autoprognosis==0.1.14) (0.5.13)
Requirement already satisfied: jsonschema>=2.6 in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from nbformat->notebook->hyperimpute->autoprognosis==0.1.14) (4.16.0)
Requirement already satisfied: fastjsonschema in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from nbformat->notebook->hyperimpute->autoprognosis==0.1.14) (2.16.2)
Collecting pbr!=2.1.0,>=2.0.0
  Downloading pbr-5.11.0-py2.py3-none-any.whl (112 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 112.6/112.6 kB 25.2 MB/s eta 0:00:00
Collecting h5py>=2.9.0
  Downloading h5py-3.7.0-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (4.5 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 4.5/4.5 MB 39.8 MB/s eta 0:00:00
Requirement already satisfied: google-pasta>=0.1.1 in /home/user/.local/lib/python3.8/site-packages (from tensorflow>=2.0->miracle-imputation>=0.1.3->hyperimpute->autoprognosis==0.1.14) (0.2.0)
Collecting flatbuffers>=2.0
  Downloading flatbuffers-22.12.6-py2.py3-none-any.whl (26 kB)
Collecting tensorboard<2.12,>=2.11
  Downloading tensorboard-2.11.0-py3-none-any.whl (6.0 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 6.0/6.0 MB 25.3 MB/s eta 0:00:00
Collecting gast<=0.4.0,>=0.2.1
  Downloading gast-0.4.0-py3-none-any.whl (9.8 kB)
Collecting termcolor>=1.1.0
  Downloading termcolor-2.1.1-py3-none-any.whl (6.2 kB)
Collecting keras<2.12,>=2.11.0
  Downloading keras-2.11.0-py2.py3-none-any.whl (1.7 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.7/1.7 MB 14.1 MB/s eta 0:00:00
Collecting protobuf<3.20,>=3.9.2
  Downloading protobuf-3.19.6-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.1 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.1/1.1 MB 6.4 MB/s eta 0:00:00
Collecting grpcio<2.0,>=1.24.3
  Downloading grpcio-1.51.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.8 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 4.8/4.8 MB 14.1 MB/s eta 0:00:00
Collecting tensorflow-io-gcs-filesystem>=0.23.1
  Downloading tensorflow_io_gcs_filesystem-0.29.0-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (2.4 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2.4/2.4 MB 18.1 MB/s eta 0:00:00
Collecting libclang>=13.0.0
  Downloading libclang-14.0.6-py2.py3-none-manylinux2010_x86_64.whl (14.1 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 14.1/14.1 MB 5.4 MB/s eta 0:00:00
Requirement already satisfied: astunparse>=1.6.0 in /home/user/.local/lib/python3.8/site-packages (from tensorflow>=2.0->miracle-imputation>=0.1.3->hyperimpute->autoprognosis==0.1.14) (1.6.3)
Collecting absl-py>=1.0.0
  Downloading absl_py-1.3.0-py3-none-any.whl (124 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 124.6/124.6 kB 374.1 MB/s eta 0:00:00
Requirement already satisfied: opt-einsum>=2.3.2 in /home/user/.local/lib/python3.8/site-packages (from tensorflow>=2.0->miracle-imputation>=0.1.3->hyperimpute->autoprognosis==0.1.14) (3.3.0)
Collecting tensorflow-estimator<2.12,>=2.11.0
  Downloading tensorflow_estimator-2.11.0-py2.py3-none-any.whl (439 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 439.2/439.2 kB 430.2 kB/s eta 0:00:00
Requirement already satisfied: ptyprocess in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from terminado>=0.8.3->notebook->hyperimpute->autoprognosis==0.1.14) (0.7.0)
Requirement already satisfied: argon2-cffi-bindings in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from argon2-cffi->notebook->hyperimpute->autoprognosis==0.1.14) (21.2.0)
Requirement already satisfied: debugpy>=1.0 in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from ipykernel->jupyter->hyperimpute->autoprognosis==0.1.14) (1.5.1)
Requirement already satisfied: psutil in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from ipykernel->jupyter->hyperimpute->autoprognosis==0.1.14) (5.9.0)
Requirement already satisfied: matplotlib-inline>=0.1 in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from ipykernel->jupyter->hyperimpute->autoprognosis==0.1.14) (0.1.6)
Requirement already satisfied: ipython>=7.23.1 in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from ipykernel->jupyter->hyperimpute->autoprognosis==0.1.14) (8.7.0)
Collecting jupyterlab-widgets~=3.0
  Downloading jupyterlab_widgets-3.0.5-py3-none-any.whl (384 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 384.3/384.3 kB 8.3 MB/s eta 0:00:00
Collecting widgetsnbextension~=4.0
  Downloading widgetsnbextension-4.0.5-py3-none-any.whl (2.0 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2.0/2.0 MB 20.5 MB/s eta 0:00:00
Requirement already satisfied: prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0 in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from jupyter-console->jupyter->hyperimpute->autoprognosis==0
.1.14) (3.0.20)
Collecting tenacity>=6.2.0
  Downloading tenacity-8.1.0-py3-none-any.whl (23 kB)
Collecting qtpy>=2.0.1
  Downloading QtPy-2.3.0-py3-none-any.whl (83 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 83.6/83.6 kB 36.1 MB/s eta 0:00:00
Requirement already satisfied: stack-data in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from ipython>=7.23.1->ipykernel->jupyter->hyperimpute->autoprognosis==0.1.14) (0.2.0)
Requirement already satisfied: jedi>=0.16 in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from ipython>=7.23.1->ipykernel->jupyter->hyperimpute->autoprognosis==0.1.14) (0.18.1)
Requirement already satisfied: pickleshare in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from ipython>=7.23.1->ipykernel->jupyter->hyperimpute->autoprognosis==0.1.14) (0.7.5)
Requirement already satisfied: backcall in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from ipython>=7.23.1->ipykernel->jupyter->hyperimpute->autoprognosis==0.1.14) (0.2.0)
Requirement already satisfied: pexpect>4.3 in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from ipython>=7.23.1->ipykernel->jupyter->hyperimpute->autoprognosis==0.1.14) (4.8.0)
Requirement already satisfied: decorator in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from ipython>=7.23.1->ipykernel->jupyter->hyperimpute->autoprognosis==0.1.14) (5.1.1)
Requirement already satisfied: pyrsistent!=0.17.0,!=0.17.1,!=0.17.2,>=0.14.0 in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from jsonschema>=2.6->nbformat->notebook->hyperimpute->auto
prognosis==0.1.14) (0.18.0)
Requirement already satisfied: pkgutil-resolve-name>=1.3.10 in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from jsonschema>=2.6->nbformat->notebook->hyperimpute->autoprognosis==0.1.14
) (1.3.10)
Requirement already satisfied: websocket-client in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from jupyter-server>=1.8->nbclassic>=0.4.7->notebook->hyperimpute->autoprognosis==0.1.14
) (0.58.0)
Requirement already satisfied: anyio<4,>=3.1.0 in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from jupyter-server>=1.8->nbclassic>=0.4.7->notebook->hyperimpute->autoprognosis==0.1.14)
 (3.5.0)
Collecting werkzeug>=1.0.1
  Downloading Werkzeug-2.2.2-py3-none-any.whl (232 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 232.7/232.7 kB 405.1 MB/s eta 0:00:00
Collecting tensorboard-plugin-wit>=1.6.0
  Downloading tensorboard_plugin_wit-1.8.1-py3-none-any.whl (781 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 781.3/781.3 kB 13.2 MB/s eta 0:00:00
Collecting google-auth-oauthlib<0.5,>=0.4.1
  Downloading google_auth_oauthlib-0.4.6-py2.py3-none-any.whl (18 kB)
Requirement already satisfied: requests<3,>=2.21.0 in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from tensorboard<2.12,>=2.11->tensorflow>=2.0->miracle-imputation>=0.1.3->hyperimpute
->autoprognosis==0.1.14) (2.28.1)
Collecting markdown>=2.6.8
  Downloading Markdown-3.4.1-py3-none-any.whl (93 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 93.3/93.3 kB 24.0 MB/s eta 0:00:00
Collecting tensorboard-data-server<0.7.0,>=0.6.0
  Downloading tensorboard_data_server-0.6.1-py3-none-manylinux2010_x86_64.whl (4.9 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 4.9/4.9 MB 3.1 MB/s eta 0:00:00
Collecting google-auth<3,>=1.6.3
  Downloading google_auth-2.15.0-py2.py3-none-any.whl (177 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 177.0/177.0 kB 106.6 kB/s eta 0:00:00
Requirement already satisfied: cffi>=1.0.1 in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from argon2-cffi-bindings->argon2-cffi->notebook->hyperimpute->autoprognosis==0.1.14) (1.15.1
)
Requirement already satisfied: soupsieve>1.2 in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from beautifulsoup4->nbconvert->jupyter->hyperimpute->autoprognosis==0.1.14) (2.3.2.post1)
Requirement already satisfied: webencodings in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from bleach->nbconvert->jupyter->hyperimpute->autoprognosis==0.1.14) (0.5.1)
Requirement already satisfied: sniffio>=1.1 in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from anyio<4,>=3.1.0->jupyter-server>=1.8->nbclassic>=0.4.7->notebook->hyperimpute->autoprog
nosis==0.1.14) (1.2.0)
Requirement already satisfied: idna>=2.8 in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from anyio<4,>=3.1.0->jupyter-server>=1.8->nbclassic>=0.4.7->notebook->hyperimpute->autoprognos
is==0.1.14) (3.4)
Requirement already satisfied: pycparser in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from cffi>=1.0.1->argon2-cffi-bindings->argon2-cffi->notebook->hyperimpute->autoprognosis==0.1.
14) (2.21)
Collecting cachetools<6.0,>=2.0.0
  Downloading cachetools-5.2.0-py3-none-any.whl (9.3 kB)
Collecting rsa<5,>=3.1.4
  Downloading rsa-4.9-py3-none-any.whl (34 kB)
Collecting pyasn1-modules>=0.2.1
  Downloading pyasn1_modules-0.2.8-py2.py3-none-any.whl (155 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 155.3/155.3 kB 6.1 MB/s eta 0:00:00
Collecting requests-oauthlib>=0.7.0
  Downloading requests_oauthlib-1.3.1-py2.py3-none-any.whl (23 kB)
Requirement already satisfied: parso<0.9.0,>=0.8.0 in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from jedi>=0.16->ipython>=7.23.1->ipykernel->jupyter->hyperimpute->autoprognosis==0.1
.14) (0.8.3)
Requirement already satisfied: certifi>=2017.4.17 in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from requests<3,>=2.21.0->tensorboard<2.12,>=2.11->tensorflow>=2.0->miracle-imputation
>=0.1.3->hyperimpute->autoprognosis==0.1.14) (2022.12.7)
Requirement already satisfied: charset-normalizer<3,>=2 in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from requests<3,>=2.21.0->tensorboard<2.12,>=2.11->tensorflow>=2.0->miracle-impu
tation>=0.1.3->hyperimpute->autoprognosis==0.1.14) (2.0.4)
Requirement already satisfied: urllib3<1.27,>=1.21.1 in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from requests<3,>=2.21.0->tensorboard<2.12,>=2.11->tensorflow>=2.0->miracle-imputat
ion>=0.1.3->hyperimpute->autoprognosis==0.1.14) (1.26.13)
Requirement already satisfied: executing in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from stack-data->ipython>=7.23.1->ipykernel->jupyter->hyperimpute->autoprognosis==0.1.14) (0.8.
3)
Requirement already satisfied: asttokens in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from stack-data->ipython>=7.23.1->ipykernel->jupyter->hyperimpute->autoprognosis==0.1.14) (2.0.
5)
Requirement already satisfied: pure-eval in /mnt/data-linux/miniconda3/envs/playaround_py38_autoprognosis/lib/python3.8/site-packages (from stack-data->ipython>=7.23.1->ipykernel->jupyter->hyperimpute->autoprognosis==0.1.14) (0.2.
2)
Collecting pyasn1<0.5.0,>=0.4.6
  Downloading pyasn1-0.4.8-py2.py3-none-any.whl (77 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 77.1/77.1 kB 347.3 MB/s eta 0:00:00
Collecting oauthlib>=3.0.0
  Downloading oauthlib-3.2.2-py3-none-any.whl (151 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 151.7/151.7 kB 397.6 MB/s eta 0:00:00
Building wheels for collected packages: autoprognosis, pyod, autograd-gamma, geomloss, future, pyperclip
  Building wheel for autoprognosis (pyproject.toml) ... done
  Created wheel for autoprognosis: filename=autoprognosis-0.1.14-py2.py3-none-any.whl size=271956 sha256=55cefdb620b07f4ce3e07e664e4ab95ac33e3fa0215670bc792a03765e4a6c5d
  Stored in directory: /tmp/pip-ephem-wheel-cache-d1glssxw/wheels/d5/51/4c/c23a549afa37401a815a9416cb922e1d5e9b100fd3a0ff14c3
  Building wheel for pyod (setup.py) ... done
  Created wheel for pyod: filename=pyod-1.0.7-py3-none-any.whl size=181085 sha256=98b91a13e914f5c67bac82091d9bbe47fa1633ed16e22d3e448efd0321f88893
  Stored in directory: /tmp/pip-ephem-wheel-cache-d1glssxw/wheels/d1/3b/3a/23d2c32d0fb16e7d5afb28e379c310a2c6789e853976a941a3
  Building wheel for autograd-gamma (setup.py) ... done
  Created wheel for autograd-gamma: filename=autograd_gamma-0.5.0-py3-none-any.whl size=4032 sha256=ab38d9114f8ea57dc8f42c5ef6f9f34c06ec501837d5df8585d45532321f8672
  Stored in directory: /tmp/pip-ephem-wheel-cache-d1glssxw/wheels/73/c6/2a/01887d454b0ef63346882affa20e674627a2735aa7cbd3d95a
  Building wheel for geomloss (setup.py) ... done
  Created wheel for geomloss: filename=geomloss-0.2.5-py3-none-any.whl size=32050 sha256=a314923b9a8a3cb731e2946300063853715f4636fc1393b02632496ac7df34ba
  Stored in directory: /tmp/pip-ephem-wheel-cache-d1glssxw/wheels/1f/75/70/2eda261ca40acc8da0d6167c58a46f7bcc459464f53c597480
  Building wheel for future (setup.py) ... done
  Created wheel for future: filename=future-0.18.2-py3-none-any.whl size=491058 sha256=c31dea0660dd3b7d7cb0294cb9592679c7abb9eeafaff6252940a6df6d757d7f
  Stored in directory: /tmp/pip-ephem-wheel-cache-d1glssxw/wheels/01/49/0c/4e0a697824c7bd6516afb22e1af9d51427ccd36c74b05a297e
  Building wheel for pyperclip (setup.py) ... done
  Created wheel for pyperclip: filename=pyperclip-1.8.2-py3-none-any.whl size=11123 sha256=fe59d584782dd723e4dcd2e28121a20f5b38a1df66a8c455ad1062099e6f5dcc
  Stored in directory: /tmp/pip-ephem-wheel-cache-d1glssxw/wheels/e9/08/ff/ce302129d1f57e10fd08d8a476ae601dedba9d08d47fe6be45
Successfully built autoprognosis pyod autograd-gamma geomloss future pyperclip
Installing collected packages: tensorboard-plugin-wit, pyperclip, pyasn1, libclang, flatbuffers, widgetsnbextension, werkzeug, tqdm, threadpoolctl, termcolor, tensorflow-io-gcs-filesystem, tensorflow-estimator, tensorboard-data-se
rver, tenacity, slicer, rsa, qtpy, pyparsing, pydantic, pyasn1-modules, protobuf, PrettyTable, pillow, pbr, oauthlib, numpy, Mako, loguru, llvmlite, kiwisolver, keras, jupyterlab-widgets, joblib, interface-meta, grpcio, greenlet,
graphviz, graphlib-backport, gast, future, fonttools, cycler, colorlog, cmd2, cloudpickle, cachetools, autopage, async-timeout, absl-py, stevedore, sqlalchemy, scipy, requests-oauthlib, redis, plotly, patsy, pandas, numba, markdow
n, h5py, google-auth, geomloss, contourpy, cmaes, autograd, xgboost, statsmodels, scikit-learn, matplotlib, google-auth-oauthlib, formulaic, cliff, autograd-gamma, alembic, tensorboard, shap, seaborn, pyod, optuna, lightgbm, lifel
ines, gpboost, catboost, tensorflow, qtconsole, jupyter-console, ipywidgets, miracle-imputation, jupyter, hyperimpute, autoprognosis
  Attempting uninstall: numpy
    Found existing installation: numpy 1.24.1
    Uninstalling numpy-1.24.1:
      Successfully uninstalled numpy-1.24.1
Successfully installed Mako-1.2.4 PrettyTable-3.5.0 absl-py-1.3.0 alembic-1.9.1 async-timeout-4.0.2 autograd-1.5 autograd-gamma-0.5.0 autopage-0.5.1 autoprognosis-0.1.14 cachetools-5.2.0 catboost-1.1.1 cliff-4.1.0 cloudpickle-2.2.
0 cmaes-0.9.0 cmd2-2.4.2 colorlog-6.7.0 contourpy-1.0.6 cycler-0.11.0 flatbuffers-22.12.6 fonttools-4.38.0 formulaic-0.5.2 future-0.18.2 gast-0.4.0 geomloss-0.2.5 google-auth-2.15.0 google-auth-oauthlib-0.4.6 gpboost-0.8.0.1 graph
lib-backport-1.0.3 graphviz-0.20.1 greenlet-2.0.1 grpcio-1.51.1 h5py-3.7.0 hyperimpute-0.1.12 interface-meta-1.3.0 ipywidgets-8.0.4 joblib-1.2.0 jupyter-1.0.0 jupyter-console-6.4.4 jupyterlab-widgets-3.0.5 keras-2.11.0 kiwisolver-
1.4.4 libclang-14.0.6 lifelines-0.27.4 lightgbm-3.3.3 llvmlite-0.39.1 loguru-0.6.0 markdown-3.4.1 matplotlib-3.6.2 miracle-imputation-0.1.5 numba-0.56.4 numpy-1.23.5 oauthlib-3.2.2 optuna-3.0.5 pandas-1.5.2 patsy-0.5.3 pbr-5.11.0
pillow-9.3.0 plotly-5.11.0 protobuf-3.19.6 pyasn1-0.4.8 pyasn1-modules-0.2.8 pydantic-1.10.3 pyod-1.0.7 pyparsing-3.0.9 pyperclip-1.8.2 qtconsole-5.4.0 qtpy-2.3.0 redis-4.4.0 requests-oauthlib-1.3.1 rsa-4.9 scikit-learn-1.2.0 scip
y-1.8.1 seaborn-0.12.1 shap-0.41.0 slicer-0.0.7 sqlalchemy-1.4.45 statsmodels-0.13.5 stevedore-4.1.1 tenacity-8.1.0 tensorboard-2.11.0 tensorboard-data-server-0.6.1 tensorboard-plugin-wit-1.8.1 tensorflow-2.11.0 tensorflow-estimat
or-2.11.0 tensorflow-io-gcs-filesystem-0.29.0 termcolor-2.1.1 threadpoolctl-3.1.0 tqdm-4.64.1 werkzeug-2.2.2 widgetsnbextension-4.0.5 xgboost-1.7.2
(playaround_py38_autoprognosis) user@computer:/some_path/autoprognosis$ clear
@bcebere
Copy link
Contributor

bcebere commented Dec 29, 2022

Thank you for the feedback!

It is a known issue for new environments. The workaround in the CI workflows is to preinstall those from the prereq.txt file.

The problem is from the geomloss package, used by hyperimpute, which requires torch and numpy in its setup.py file. The solution is here, still pending the merge and release.

If they won't create a release with the fix soon, I will fork and patch the library directly in hyperimpute.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Assignees
No one assigned
Labels
None yet
Projects
None yet
Milestone
No milestone
Development

No branches or pull requests
2 participants
@bcebere @DrShushen