RequirementCache incorrectly returning False

[aamster]

Bug description

Trying to use MLFlowLogger on kaggle. MLFlow is installed, and can be verified by

import mlflow
mlflow.__version__ # 1.30.1

However trying to instantiate MLFlowLogger gives ModuleNotFoundError: DistributionNotFound: The 'mlflow>=1.0.0' distribution was not found and is required by the application. HINT: Try running `pip install -U 'mlflow>=1.0.0'

The issue is that there is this error

from lightning_utilities.core.imports import RequirementCache
RequirementCache("mlflow>=1.0.0")
>> ContextualVersionConflict: (packaging 23.0 (/opt/conda/lib/python3.7/site-packages), Requirement.parse('packaging<22'), {'mlflow'}). HINT: Try running `pip install -U 'mlflow>=1.0.0'`

I think this is a false alarm since the library can be imported. this is preventing me from using the mlflow logger

What version are you seeing the problem on?

'1.9.5'

How to reproduce the bug

No response

Error messages and logs

# Error messages and logs here please

Environment

Current environment

#- Lightning Component (e.g. Trainer, LightningModule, LightningApp, LightningWork, LightningFlow):
#- PyTorch Lightning Version (e.g., 1.5.0):
#- Lightning App Version (e.g., 0.5.2):
#- PyTorch Version (e.g., 2.0):
#- Python version (e.g., 3.9):
#- OS (e.g., Linux):
#- CUDA/cuDNN version:
#- GPU models and configuration:
#- How you installed Lightning(`conda`, `pip`, source):
#- Running environment of LightningApp (e.g. local, cloud):

More info

No response

[aamster]

Thank you @carmocca for the quick fix!