pip's dependency resolver does not currently take into account

the installed packages in the local environment. It solely relies on the package information available in the Python Package Index (PyPI) and the requirements specified in the project's setup.py or requirements.txt file. Therefore, if you have conflicting packages installed locally, pip's dependency resolver may not be able to handle them correctly.

To mitigate this issue, you can manually manage your package dependencies by specifying exact version numbers or using virtual environments. Virtual environments allow you to create isolated Python environments where you can install specific packages without affecting the global Python installation or other projects.

By creating a virtual environment, you can install required packages in an isolated environment and ensure that the dependency resolution is accurate. You can create a virtual environment using tools like virtualenv or conda.

Here's an example of creating a virtual environment using virtualenv:

1. Install virtualenv if it's not already installed:

   pip install virtualenv

2. Create a new virtual environment:

   virtualenv myenv

3. Activate the virtual environment:
- On Windows:

     .\myenv\Scripts\activate

- On Unix or Linux:

     source myenv/bin/activate

4. Install your project dependencies within the virtual environment:

   pip install -r requirements.txt

Once you have activated the virtual environment, any packages installed with pip will be isolated within that environment, and pip's dependency resolver will only consider the packages within that environment.

Remember to activate the virtual environment every time you want to work on your project or use its dependencies.