Publish a conda package to conda-forge

[leofang]

No description provided.

[bdice]

We already have a cccl conda package. What relationship will exist between cccl and cuda-cooperative? Does one depend on another at build time/run time? Do we ship cuda-cooperative features as a part of cccl?

https://github.com/conda-forge/cccl-feedstock/blob/main/recipe/meta.yaml

[leofang]

cuda.cooperative is a Python module that offers callable CUB warp/block routines for Numba CUDA kernels (#1973). In this case, CCCL headers are a run-time dependency of cuda-cooperative.

Currently for the wheel build, we opt to keep a private copy of CCCL headers:

cccl/python/cuda/setup.py

Lines 52 to 58 in 2600135

	for proj_dir, header_dir in cccl_headers:
	src_path = os.path.abspath(
	os.path.join(cccl_path, proj_dir, header_dir))
	dst_path = os.path.join(project_path, 'cuda', '_include', proj_dir)
	if os.path.exists(dst_path):
	shutil.rmtree(dst_path)
	shutil.copytree(src_path, dst_path)

but for conda we probably can just depend on the cccl package (and not cuda-cccl, since the intention was to follow the trunk as closely as possible).