Drop {{ pin_compatible('numpy', max_pin='x') }} (#16301)

Part of issue: rapidsai/build-planning#82

Drop `{{ pin_compatible('numpy', max_pin='x') }}` as it is no longer needed. `numpy` has its own `run_exports`, which constraints `numpy` to an API compatible version. More details in issue: https://github.com/orgs/rapidsai/projects/132

So `cudf` now uses that in its recipe builds. Also update `requirements/run` to set the `numpy` lower bound to `1.23` as required by us.

Lastly add todo comments for NumPy 2 update lines.

Authors:
  - https://github.com/jakirkham

Approvers:
  - James Lamb (https://github.com/jameslamb)

URL: #16301

conda/recipes/cudf/meta.yaml

@@ -64,6 +64,7 @@ requirements:
     - rapids-build-backend >=0.3.0,<0.4.0.dev0
     - scikit-build-core >=0.7.0
     - dlpack >=0.8,<1.0
+    # TODO: Change to `2.0` for NumPy 2
     - numpy 1.23
     - pyarrow ==16.1.0.*
     - libcudf ={{ version }}
@@ -82,7 +83,8 @@ requirements:
     - pandas >=2.0,<2.2.3dev0
     - cupy >=12.0.0
     - numba >=0.57
-    - {{ pin_compatible('numpy', max_pin='x') }}
+    # TODO: Update `numpy` in `host` when dropping `<2.0a0`
+    - numpy >=1.23,<2.0a0
     - {{ pin_compatible('pyarrow', max_pin='x.x') }}
     - libcudf ={{ version }}
     - {{ pin_compatible('rmm', max_pin='x.x') }}

dependencies.yaml

@@ -323,6 +323,7 @@ dependencies:
         packages:
           # Hard pin the patch version used during the build.
           # Sync with conda build constraint & wheel run constraint.
+          # TODO: Change to `2.0.*` for NumPy 2
           - numpy==1.23.*
   build_python_cudf:
     common:
@@ -551,6 +552,7 @@ dependencies:
       - output_types: [conda, requirements, pyproject]
         packages:
           - fsspec>=0.6.0
+          # TODO: Update `numpy` in `build_python_common` when dropping `<2.0a0`
           - numpy>=1.23,<2.0a0
           - pandas>=2.0,<2.2.3dev0
   run_cudf: