chore: meta.yaml to accommodate numpy-base or numpy

Author: jharlow-intel

CHANGELOG.md

@@ -15,6 +15,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ### Changed
 * Updates to `mkl_random` implementations to better align with newer versions of `numpy.random` [gh-103](https://github.com/IntelPython/mkl_random/pull/103)
+* Made conda recipe dependency on numpy configurable through `USE_NUMPY_BASE` environment variable [gh-105](https://github.com/IntelPython/mkl_random/pull/105)
 
 ### Fixed
 * Various bugfixes including a hang in `zipf` when called with `np.nan` and size-1 1D arrays being cast to scalars [gh-103](https://github.com/IntelPython/mkl_random/pull/103)

conda-recipe/meta.yaml

@@ -1,3 +1,6 @@
+# Intel numpy-base is still needed for internal wheels CI, so we control its use with this optional toggle
+{% set use_numpy_base = environ.get('USE_NUMPY_BASE', 'true').lower() == 'true' %}
+
 package:
     name: mkl_random
     version: {{ GIT_DESCRIBE_TAG }}
@@ -23,14 +26,22 @@ requirements:
       - setuptools >=77
       - mkl-devel
       - cython
+      {% if use_numpy_base %}
       - numpy-base
+      {% else %}
+      - numpy
+      {% endif %}
       - pip
       - wheel  >=0.41.3
     run:
       - python
       - python-gil     # [py>=314]
       - {{ pin_compatible('mkl', min_pin="x.x", max_pin="x") }}
-      - {{ pin_compatible('numpy-base', min_pin="x.x", max_pin="x") }}
+      {% if use_numpy_base %}
+      - numpy-base
+      {% else %}
+      - numpy >=1.26.4
+      {% endif %}
 
 test:
     commands:

docs/source/conf.py

@@ -9,7 +9,7 @@
 project = "mkl_random"
 copyright = "2017-2025, Intel Corp."
 author = "Intel Corp."
-release = "1.4.0dev1"
+release = "1.4.0dev3"
 
 # -- General configuration ---------------------------------------------------
 # https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration

mkl_random/_version.py

@@ -1 +1 @@
-__version__ = "1.4.0dev1"
+__version__ = "1.4.0dev3"