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memgraph / gqlalchemy

GQLAlchemy is a library developed with the purpose of assisting in writing and running queries on Memgraph. GQLAlchemy supports high-level connection to Memgraph as well as modular query builder.

Home Page:https://pypi.org/project/gqlalchemy/

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[BUG] PR #251 makes torch a requirement causing installs to fail

matroscoe opened this issue · comments

commented

Memgraph version gqlalchemy >=1.13.1,<2.0.0

Environment
Python 3.11.1
Ubuntu 22.04
Running in Docker

Describe the bug A clear and concise description of what the bug is.

To Reproduce Steps to reproduce the behavior:

  1. have a pyproject.toml and require gqlalchemy >=1.13.1,<2.0.0

Expected behavior

  • Library continues to install and run as expected
  • If torch functionality is desired there should be a method for pointing to smaller binary files (if this is caused by an out of space issue)

Additional context The torch requirement is too strict forcing nvidia-cuda-* packages to install which fail when there is no valid GPU available.

There is a slight chance this could be a system space issue but if that is the case it is because the nvidia-cuda-* packages are requiring more than 1.5GB of space during install

commented

@matroscoe Sorry for issues during install and thanks for reporting an issue. We got a similar request on optional dependencies installation. #227
We will look into optional dependency install, which is directly related to this.