Migrate to functools.cached_property while preserving cached_property_with_ttl

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This PR migrates the project from using the external cached_property package to Python's built-in functools.cached_property where possible, while preserving the library's cached_property_with_ttl implementation for TTL functionality.

Changes Made

Import Updates

• msazure.py: from cached_property import cached_property → from functools import cached_property
• scvmm.py: from cached_property import cached_property → from functools import cached_property
• virtualcenter.py: from cached_property import threaded_cached_property → from functools import cached_property
• podman.py: Fixed incorrect from proto.utils import cached_property → from functools import cached_property

Dependencies

• Retained cached_property in pyproject.toml dependencies specifically for TTL functionality

TTL Functionality Preserved

• vm.py: Continues using from cached_property import cached_property_with_ttl to maintain the proven library implementation for VM state caching with 1-second TTL

Technical Details

The migration strategically handles different cached property variants:

1. Standard cached_property: Migrated to functools.cached_property (available since Python 3.8)
2. threaded_cached_property: Replaced with functools.cached_property (which is already thread-safe)
3. cached_property_with_ttl: Preserved from the library to avoid potential issues with custom TTL implementations

This approach reduces dependency usage while maintaining the reliability of the existing TTL caching mechanism used for VM state queries.

Fixes #514.

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