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Error on pip install - ensembleclustering and kahypar dependencies

Alas, I get an error on trying to install

conda create --name flowc python=3.10
conda activate flowc
pip install cytocluster

leads to an error:

ERROR: Cannot install cytocluster because these package versions have conflicting dependencies.

The conflict is caused by:
    ensembleclustering 1.0.11 depends on kahypar==1.1.3
    ensembleclustering 1.0.1 depends on kahypar==1.1.3

To fix this you could try to:
1. loosen the range of package versions you've specified
2. remove package versions to allow pip attempt to solve the dependency conflict

ERROR: ResolutionImpossible: for help visit https://pip.pypa.io/en/latest/topics/dependency-resolution/#dealing-with-dependency-conflicts

If then try to separately install kahypar using

pip install kahypar

I get the follow errors:

Collecting kahypar
  Using cached kahypar-1.0.tar.gz (8.0 MB)
  Preparing metadata (setup.py) ... error
  error: subprocess-exited-with-error

  × python setup.py egg_info did not run successfully.
  │ exit code: 1
  ╰─> [8 lines of output]
      Traceback (most recent call last):
        File "<string>", line 2, in <module>
        File "<pip-setuptools-caller>", line 34, in <module>
        File "C:\Users\nelly\AppData\Local\Temp\pip-install-9bmjaav9\kahypar_17b055a634f5427fab2ec09e4eea68f0\setup.py", line 71, in <module>
          long_description = fh.read()
        File "C:\tools\miniconda3\envs\flowc\lib\encodings\cp1252.py", line 23, in decode
          return codecs.charmap_decode(input,self.errors,decoding_table)[0]
      UnicodeDecodeError: 'charmap' codec can't decode byte 0x9d in position 5786: character maps to <undefined>
      [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.

Any thoughts much appreciated :) Thanks in advance for your time.

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