Add new conda environments

[pentschev]

UCXX is not necessarily CUDA dependent. This change adds two new environments: cpp.yaml for C++-only builds and all.yaml for C++ and Python builds.

[bdice]

This should match the name from -n ucxx above.

Suggested change

	$ conda activate all_cuda-118_arch-x86_64
	$ conda activate ucxx

[bdice]

All environment files need to be generated by dependencies.yaml.

The failure in pre-commit is because rapids-dependency-file-generator looks for files that it generated and removes them before re-generating the new files. You have the header here saying it's a generated file, but there's no declaration of this environment file in dependencies.yaml.

This is how you tell it to generate a given environment file:

ucxx/dependencies.yaml

Lines 3 to 17 in 4464ca9

	all:
	output: conda
	matrix:
	cuda: ["11.8", "12.0"]
	arch: [x86_64]
	includes:
	- build_cpp
	- build_python
	- checks
	- cudatoolkit
	- dev
	- py_version
	- run_python
	- test_cpp
	- test_python

For example, you might want to add a section like this for the C++ dependency list.

files:
  cpp:     # This is used as part of the environment's filename
    output: conda
    matrix:
      arch: [x86_64]
    includes:
      - build_cpp
      - checks
      - dev
      - test_cpp

[pentschev]

Thanks Bradley, this is helpful. I'd still like to trim that more though, for example the above will result in:

# This file is generated by `rapids-dependency-file-generator`.
# To make changes, edit ../../dependencies.yaml and run `rapids-dependency-file-generator`.
channels:
- rapidsai
- rapidsai-nightly
- dask/label/dev
- conda-forge
- nvidia
dependencies:
- autoconf
- automake
- c-compiler
- cmake>=3.26.4
- cxx-compiler
- dask-cuda==23.12.*
- dask-cudf==23.12.*
- fmt>=9.1.0,<10
- gmock>=1.13.0
- gtest>=1.13.0
- librmm==23.12.*
- libtool
- ninja
- pip
- pkg-config
- pre-commit
- spdlog>=1.11.0,<1.12
name: cpp_arch-x86_64

That include a bunch of things we don't need: rapidsai/rapidsai-nightly/dask/label/dev/nvidia channels and dask-cuda/dask-cudf/librmm/pip/pkg-config. Is there a way to minimize that?

Additionally, this is supposed to be valid for aarch64 too, can we make it architecture agnostic?

[bdice]

There's currently no way to drop extra channels from the generated files. You can file an issue to rapids-dependency-file-generator if you have a proposal for how the dependencies.yaml schema should accommodate that idea, but I'm not sure if it's worth changing. https://github.com/rapidsai/dependency-file-generator

If you depend only on architecture-agnostic packages, you can just drop the arch from the files: spec.

files:
  cpp:     # This is used as part of the environment's filename
    output: conda
    includes:
      - build_cpp
      - checks
      - dev
      - test_cpp