Pined to the lates dpctl release 0.21.0

Author: antonwolfy

conda-recipe/meta.yaml

@@ -1,6 +1,6 @@
 {% set max_compiler_and_mkl_version = environ.get("MAX_BUILD_CMPL_MKL_VERSION", "2026.0a0") %}
 {% set required_compiler_and_mkl_version = "2025.0" %}
-{% set required_dpctl_version = "0.21.0*" %}
+{% set required_dpctl_version = "0.21.0" %}
 
 {% set pyproject = load_file_data('pyproject.toml') %}
 {% set py_build_deps = pyproject.get('build-system', {}).get('requires', []) %}

environments/dpctl_pkg.txt

@@ -1,2 +1,2 @@
 --index-url https://pypi.anaconda.org/dppy/label/dev/simple
-dpctl>=0.21.0dev0
+dpctl>=0.21.0

environments/dpctl_pkg.yml

@@ -2,4 +2,4 @@ name: Install dpctl package
 channels:
   - dppy/label/dev
 dependencies:
-  - dpctl>=0.21.0dev0
+  - dpctl>=0.21.0

pyproject.toml

@@ -5,8 +5,7 @@ requires = [
   "build>=1.2.2",
   "cmake>=3.31.6",
   "cython>=3.0.12",
-  # WARNING: use only dpctl version available on PyPi
-  "dpctl>=0.19.0",
+  "dpctl>=0.21.0",
   "ninja>=1.11.1; platform_system!='Windows'",
   # NOTE: no DPNP restriction on NumPy version, so follow NumPy's drop schedule
   "numpy>=1.25.0",
@@ -50,7 +49,7 @@ dependencies = [
   # "dpcpp-cpp-rt>=0.59.0",
   # "intel-cmplr-lib-rt>=0.59.0"
   # WARNING: use the latest dpctl dev version, otherwise stable w/f will fail
-  "dpctl>=0.21.0dev0",
+  "dpctl>=0.21.0",
   "numpy>=1.25.0"
 ]
 description = "Data Parallel Extension for NumPy"