Explicitly depend on zlib in conda recipes (#14018)

We were previously obtaining zlib transitively through our cmake dependency, but since the 3.27.4 conda package, this dependency no longer exists. Therefore we must depend on zlib ourselves.

- Closes #14021

Authors:
  - Lawrence Mitchell (https://github.com/wence-)

Approvers:
  - Bradley Dice (https://github.com/bdice)
  - AJ Schmidt (https://github.com/ajschmidt8)
  - Vyas Ramasubramani (https://github.com/vyasr)

URL: #14018

conda/environments/all_cuda-118_arch-x86_64.yaml

@@ -95,6 +95,7 @@ dependencies:
 - tokenizers==0.13.1
 - transformers==4.24.0
 - typing_extensions>=4.0.0
+- zlib>=1.2.13
 - pip:
   - git+https://github.com/python-streamz/streamz.git@master
 name: all_cuda-118_arch-x86_64

conda/environments/all_cuda-120_arch-x86_64.yaml

@@ -92,6 +92,7 @@ dependencies:
 - tokenizers==0.13.1
 - transformers==4.24.0
 - typing_extensions>=4.0.0
+- zlib>=1.2.13
 - pip:
   - git+https://github.com/python-streamz/streamz.git@master
 name: all_cuda-120_arch-x86_64

conda/recipes/libcudf/conda_build_config.yaml

@@ -40,6 +40,8 @@ spdlog_version:
 nvcomp_version:
   - "=2.6.1"
 
+zlib_version:
+  - ">=1.2.13"
 # The CTK libraries below are missing from the conda-forge::cudatoolkit package
 # for CUDA 11. The "*_host_*" version specifiers correspond to `11.8` packages
 # and the "*_run_*" version specifiers correspond to `11.x` packages.

conda/recipes/libcudf/meta.yaml

@@ -73,6 +73,7 @@ requirements:
     - benchmark {{ gbench_version }}
     - gtest {{ gtest_version }}
     - gmock {{ gtest_version }}
+    - zlib {{ zlib_version }}
 
 outputs:
   - name: libcudf

dependencies.yaml

@@ -179,6 +179,7 @@ dependencies:
           - c-compiler
           - cxx-compiler
           - dlpack>=0.5,<0.6.0a0
+          - zlib>=1.2.13
     specific:
       - output_types: conda
         matrices: