Couldn't install Surprise in windows

[srkpriyanka95]

Description

Steps/Code to Reproduce

pip install surprise

Collecting surprise Using cached surprise-0.1-py2.py3-none-any.whl (1.8 kB) Collecting scikit-surprise (from surprise) Using cached scikit-surprise-1.1.3.tar.gz (771 kB) Preparing metadata (setup.py) ... done Requirement already satisfied: joblib>=1.0.0 in c:\users\priyanka\appdata\local\programs\python\python311\lib\site-packages (from scikit-surprise->surprise) (1.2.0) Requirement already satisfied: numpy>=1.17.3 in c:\users\priyanka\appdata\local\programs\python\python311\lib\site-packages (from scikit-surprise->surprise) (1.24.3) Requirement already satisfied: scipy>=1.3.2 in c:\users\priyanka\appdata\local\programs\python\python311\lib\site-packages (from scikit-surprise->surprise) (1.10.1) Building wheels for collected packages: scikit-surprise Building wheel for scikit-surprise (setup.py) ... error error: subprocess-exited-with-error

× python setup.py bdist_wheel did not run successfully. │ exit code: 1 ╰─> [101 lines of output] C:\Users\priyanka\AppData\Local\Temp\pip-install-izybxr84\scikit-surprise_cd621f89a5ec46be8e2a02e19dbb68fb\setup.py:65: _DeprecatedInstaller: setuptools.installer and fetch_build_eggs are deprecated. !!

          ********************************************************************************
          Requirements should be satisfied by a PEP 517 installer.
          If you are using pip, you can try `pip install --use-pep517`.
          ********************************************************************************

  !!
    dist.Distribution().fetch_build_eggs(["numpy>=1.17.3"])
  running bdist_wheel
  running build
  running build_py
  creating build
  creating build\lib.win-amd64-cpython-311
  creating build\lib.win-amd64-cpython-311\surprise
  copying surprise\accuracy.py -> build\lib.win-amd64-cpython-311\surprise
  copying surprise\builtin_datasets.py -> build\lib.win-amd64-cpython-311\surprise
  copying surprise\dataset.py -> build\lib.win-amd64-cpython-311\surprise
  copying surprise\dump.py -> build\lib.win-amd64-cpython-311\surprise
  copying surprise\reader.py -> build\lib.win-amd64-cpython-311\surprise
  copying surprise\trainset.py -> build\lib.win-amd64-cpython-311\surprise
  copying surprise\utils.py -> build\lib.win-amd64-cpython-311\surprise
  copying surprise\__init__.py -> build\lib.win-amd64-cpython-311\surprise
  copying surprise\__main__.py -> build\lib.win-amd64-cpython-311\surprise
  creating build\lib.win-amd64-cpython-311\surprise\model_selection
  copying surprise\model_selection\search.py -> build\lib.win-amd64-cpython-311\surprise\model_selection
  copying surprise\model_selection\split.py -> build\lib.win-amd64-cpython-311\surprise\model_selection
  copying surprise\model_selection\validation.py -> build\lib.win-amd64-cpython-311\surprise\model_selection
  copying surprise\model_selection\__init__.py -> build\lib.win-amd64-cpython-311\surprise\model_selection
  creating build\lib.win-amd64-cpython-311\surprise\prediction_algorithms
  copying surprise\prediction_algorithms\algo_base.py -> build\lib.win-amd64-cpython-311\surprise\prediction_algorithms
  copying surprise\prediction_algorithms\baseline_only.py -> build\lib.win-amd64-cpython-311\surprise\prediction_algorithms
  copying surprise\prediction_algorithms\knns.py -> build\lib.win-amd64-cpython-311\surprise\prediction_algorithms
  copying surprise\prediction_algorithms\predictions.py -> build\lib.win-amd64-cpython-311\surprise\prediction_algorithms
  copying surprise\prediction_algorithms\random_pred.py -> build\lib.win-amd64-cpython-311\surprise\prediction_algorithms
  copying surprise\prediction_algorithms\__init__.py -> build\lib.win-amd64-cpython-311\surprise\prediction_algorithms
  running egg_info
  writing scikit_surprise.egg-info\PKG-INFO
  writing dependency_links to scikit_surprise.egg-info\dependency_links.txt
  writing entry points to scikit_surprise.egg-info\entry_points.txt
  writing requirements to scikit_surprise.egg-info\requires.txt
  writing top-level names to scikit_surprise.egg-info\top_level.txt
  reading manifest file 'scikit_surprise.egg-info\SOURCES.txt'
  reading manifest template 'MANIFEST.in'
  adding license file 'LICENSE.md'
  writing manifest file 'scikit_surprise.egg-info\SOURCES.txt'
  C:\Users\priyanka\AppData\Local\Programs\Python\Python311\Lib\site-packages\setuptools\command\build_py.py:201: _Warning: Package 'surprise.prediction_algorithms' is absent from the `packages` configuration.
  !!

          ********************************************************************************
          ############################
          # Package would be ignored #
          ############################
          Python recognizes 'surprise.prediction_algorithms' as an importable package[^1],
          but it is absent from setuptools' `packages` configuration.

          This leads to an ambiguous overall configuration. If you want to distribute this
          package, please make sure that 'surprise.prediction_algorithms' is explicitly added
          to the `packages` configuration field.

          Alternatively, you can also rely on setuptools' discovery methods
          (for example by using `find_namespace_packages(...)`/`find_namespace:`
          instead of `find_packages(...)`/`find:`).

          You can read more about "package discovery" on setuptools documentation page:

          - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html

          If you don't want 'surprise.prediction_algorithms' to be distributed and are
          already explicitly excluding 'surprise.prediction_algorithms' via
          `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,
          you can try to use `exclude_package_data`, or `include-package-data=False` in
          combination with a more fine grained `package-data` configuration.

          You can read more about "package data files" on setuptools documentation page:

          - https://setuptools.pypa.io/en/latest/userguide/datafiles.html


          [^1]: For Python, any directory (with suitable naming) can be imported,
                even if it does not contain any `.py` files.
                On the other hand, currently there is no concept of package data
                directory, all directories are treated like packages.
          ********************************************************************************

  !!
    check.warn(importable)
  copying surprise\similarities.c -> build\lib.win-amd64-cpython-311\surprise
  copying surprise\similarities.pyx -> build\lib.win-amd64-cpython-311\surprise
  copying surprise\prediction_algorithms\co_clustering.c -> build\lib.win-amd64-cpython-311\surprise\prediction_algorithms
  copying surprise\prediction_algorithms\matrix_factorization.c -> build\lib.win-amd64-cpython-311\surprise\prediction_algorithms
  copying surprise\prediction_algorithms\optimize_baselines.c -> build\lib.win-amd64-cpython-311\surprise\prediction_algorithms
  copying surprise\prediction_algorithms\slope_one.c -> build\lib.win-amd64-cpython-311\surprise\prediction_algorithms
  copying surprise\prediction_algorithms\co_clustering.pyx -> build\lib.win-amd64-cpython-311\surprise\prediction_algorithms
  copying surprise\prediction_algorithms\matrix_factorization.pyx -> build\lib.win-amd64-cpython-311\surprise\prediction_algorithms
  copying surprise\prediction_algorithms\optimize_baselines.pyx -> build\lib.win-amd64-cpython-311\surprise\prediction_algorithms
  copying surprise\prediction_algorithms\slope_one.pyx -> build\lib.win-amd64-cpython-311\surprise\prediction_algorithms
  running build_ext
  building 'surprise.similarities' extension
  error: Microsoft Visual C++ 14.0 or greater is required. Get it with "Microsoft C++ Build Tools": https://visualstudio.microsoft.com/visual-cpp-build-tools/
  [end of output]

note: This error originates from a subprocess, and is likely not a problem with pip. ERROR: Failed building wheel for scikit-surprise Running setup.py clean for scikit-surprise Failed to build scikit-surprise ERROR: Could not build wheels for scikit-surprise, which is required to install pyproject.toml-based projects

Expected Results

Actual Results

Versions

windows : Windows-10-10.0.22621-SP0

Python: Python 3.11.3

[SexyHotMamma]

Thank you 😊

Sent from Yahoo Mail on Android

On Tue, May 16, 2023 at 8:03 AM, @.***> wrote:

Description

Steps/Code to Reproduce pip install surprise Collecting surprise Using cached surprise-0.1-py2.py3-none-any.whl (1.8 kB) Collecting scikit-surprise (from surprise) Using cached scikit-surprise-1.1.3.tar.gz (771 kB) Preparing metadata (setup.py) ... done Requirement already satisfied: joblib>=1.0.0 in c:\users\priyanka\appdata\local\programs\python\python311\lib\site-packages (from scikit-surprise->surprise) (1.2.0) Requirement already satisfied: numpy>=1.17.3 in c:\users\priyanka\appdata\local\programs\python\python311\lib\site-packages (from scikit-surprise->surprise) (1.24.3) Requirement already satisfied: scipy>=1.3.2 in c:\users\priyanka\appdata\local\programs\python\python311\lib\site-packages (from scikit-surprise->surprise) (1.10.1) Building wheels for collected packages: scikit-surprise Building wheel for scikit-surprise (setup.py) ... error error: subprocess-exited-with-error

× python setup.py bdist_wheel did not run successfully. │ exit code: 1 ╰─> [101 lines of output] C:\Users\priyanka\AppData\Local\Temp\pip-install-izybxr84\scikit-surprise_cd621f89a5ec46be8e2a02e19dbb68fb\setup.py:65: _DeprecatedInstaller: setuptools.installer and fetch_build_eggs are deprecated. !! ******************************************************************************** Requirements should be satisfied by a PEP 517 installer. If you are using pip, you can try pip install --use-pep517. ********************************************************************************

!! dist.Distribution().fetch_build_eggs(["numpy>=1.17.3"]) running bdist_wheel running build running build_py creating build creating build\lib.win-amd64-cpython-311 creating build\lib.win-amd64-cpython-311\surprise copying surprise\accuracy.py -> build\lib.win-amd64-cpython-311\surprise copying surprise\builtin_datasets.py -> build\lib.win-amd64-cpython-311\surprise copying surprise\dataset.py -> build\lib.win-amd64-cpython-311\surprise copying surprise\dump.py -> build\lib.win-amd64-cpython-311\surprise copying surprise\reader.py -> build\lib.win-amd64-cpython-311\surprise copying surprise\trainset.py -> build\lib.win-amd64-cpython-311\surprise copying surprise\utils.py -> build\lib.win-amd64-cpython-311\surprise copying surprise_init_.py -> build\lib.win-amd64-cpython-311\surprise copying surprise_main_.py -> build\lib.win-amd64-cpython-311\surprise creating build\lib.win-amd64-cpython-311\surprise\model_selection copying surprise\model_selection\search.py -> build\lib.win-amd64-cpython-311\surprise\model_selection copying surprise\model_selection\split.py -> build\lib.win-amd64-cpython-311\surprise\model_selection copying surprise\model_selection\validation.py -> build\lib.win-amd64-cpython-311\surprise\model_selection copying surprise\model_selection_init_.py -> build\lib.win-amd64-cpython-311\surprise\model_selection creating build\lib.win-amd64-cpython-311\surprise\prediction_algorithms copying surprise\prediction_algorithms\algo_base.py -> build\lib.win-amd64-cpython-311\surprise\prediction_algorithms copying surprise\prediction_algorithms\baseline_only.py -> build\lib.win-amd64-cpython-311\surprise\prediction_algorithms copying surprise\prediction_algorithms\knns.py -> build\lib.win-amd64-cpython-311\surprise\prediction_algorithms copying surprise\prediction_algorithms\predictions.py -> build\lib.win-amd64-cpython-311\surprise\prediction_algorithms copying surprise\prediction_algorithms\random_pred.py -> build\lib.win-amd64-cpython-311\surprise\prediction_algorithms copying surprise\prediction_algorithms_init_.py -> build\lib.win-amd64-cpython-311\surprise\prediction_algorithms running egg_info writing scikit_surprise.egg-info\PKG-INFO writing dependency_links to scikit_surprise.egg-info\dependency_links.txt writing entry points to scikit_surprise.egg-info\entry_points.txt writing requirements to scikit_surprise.egg-info\requires.txt writing top-level names to scikit_surprise.egg-info\top_level.txt reading manifest file 'scikit_surprise.egg-info\SOURCES.txt' reading manifest template 'MANIFEST.in' adding license file 'LICENSE.md' writing manifest file 'scikit_surprise.egg-info\SOURCES.txt' C:\Users\priyanka\AppData\Local\Programs\Python\Python311\Lib\site-packages\setuptools\command\build_py.py:201: _Warning: Package 'surprise.prediction_algorithms' is absent from the packages configuration. !!

      ********************************************************************************
      ############################
      # Package would be ignored #
      ############################
      Python recognizes 'surprise.prediction_algorithms' as an importable package[^1],
      but it is absent from setuptools' `packages` configuration.

      This leads to an ambiguous overall configuration. If you want to distribute this
      package, please make sure that 'surprise.prediction_algorithms' is explicitly added
      to the `packages` configuration field.

      Alternatively, you can also rely on setuptools' discovery methods
      (for example by using `find_namespace_packages(...)`/`find_namespace:`
      instead of `find_packages(...)`/`find:`).

      You can read more about "package discovery" on setuptools documentation page:

      - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html

      If you don't want 'surprise.prediction_algorithms' to be distributed and are
      already explicitly excluding 'surprise.prediction_algorithms' via
      `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,
      you can try to use `exclude_package_data`, or `include-package-data=False` in
      combination with a more fine grained `package-data` configuration.

      You can read more about "package data files" on setuptools documentation page:

      - https://setuptools.pypa.io/en/latest/userguide/datafiles.html


      [^1]: For Python, any directory (with suitable naming) can be imported,
            even if it does not contain any `.py` files.
            On the other hand, currently there is no concept of package data
            directory, all directories are treated like packages.
      ********************************************************************************

!! check.warn(importable) copying surprise\similarities.c -> build\lib.win-amd64-cpython-311\surprise copying surprise\similarities.pyx -> build\lib.win-amd64-cpython-311\surprise copying surprise\prediction_algorithms\co_clustering.c -> build\lib.win-amd64-cpython-311\surprise\prediction_algorithms copying surprise\prediction_algorithms\matrix_factorization.c -> build\lib.win-amd64-cpython-311\surprise\prediction_algorithms copying surprise\prediction_algorithms\optimize_baselines.c -> build\lib.win-amd64-cpython-311\surprise\prediction_algorithms copying surprise\prediction_algorithms\slope_one.c -> build\lib.win-amd64-cpython-311\surprise\prediction_algorithms copying surprise\prediction_algorithms\co_clustering.pyx -> build\lib.win-amd64-cpython-311\surprise\prediction_algorithms copying surprise\prediction_algorithms\matrix_factorization.pyx -> build\lib.win-amd64-cpython-311\surprise\prediction_algorithms copying surprise\prediction_algorithms\optimize_baselines.pyx -> build\lib.win-amd64-cpython-311\surprise\prediction_algorithms copying surprise\prediction_algorithms\slope_one.pyx -> build\lib.win-amd64-cpython-311\surprise\prediction_algorithms running build_ext building 'surprise.similarities' extension error: Microsoft Visual C++ 14.0 or greater is required. Get it with "Microsoft C++ Build Tools": https://visualstudio.microsoft.com/visual-cpp-build-tools/ [end of output]

note: This error originates from a subprocess, and is likely not a problem with pip. ERROR: Failed building wheel for scikit-surprise Running setup.py clean for scikit-surprise Failed to build scikit-surprise ERROR: Could not build wheels for scikit-surprise, which is required to install pyproject.toml-based projects

Expected Results

Actual Results

Versions windows : Windows-10-10.0.22621-SP0 Python: Python 3.11.3

— Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you are subscribed to this thread.Message ID: @.***>

[Tjorriemorrie]

I'm also not able to install it via pypi.

Also checking it out and running install gives the error: 'surprise/similarities.c': No such file or directory

[Tjorriemorrie]

I managed to get 1.1.3 installed using

python -m pip install --upgrade pip setuptools wheel
python -m pip install --no-use-pep517 scikit-surprise

win11 py3.11

[ilankhirin]

I managed to get 1.1.3 installed using

python -m pip install --upgrade pip setuptools wheel
python -m pip install --no-use-pep517 scikit-surprise

win11 py3.11

God bless you

[juanbretti]

win11 py3.11

Sadly, does not work for me.

[NicolasHug]

Hi all, thanks for the report. This should be fixed with the v1.1.4 that I just released today. I'll close this issue but please open another one if you are still experiencing installation issues.