[pre-commit.ci] pre-commit autoupdate

.pre-commit-config.yaml

@@ -1,27 +1,27 @@
 repos:
     - repo: https://github.com/pre-commit/mirrors-mypy
-      rev: 'v1.5.1'
+      rev: 'v1.19.1'
       hooks:
             - id: mypy
               language: system
               pass_filenames: false
               args: ['legate_sparse']
-    - repo: https://github.com/psf/black
-      rev: 23.9.1
+    - repo: https://github.com/psf/black-pre-commit-mirror
+      rev: 25.12.0
       hooks:
             - id: black
     - repo: https://github.com/PyCQA/isort
-      rev: 5.12.0
+      rev: 7.0.0
       hooks:
             - id: isort
               args: ["--profile", "black"]
     - repo: https://github.com/PyCQA/flake8
-      rev: 6.1.0
+      rev: 7.3.0
       hooks:
             - id: flake8
               args: [--config=.flake8]
     - repo: https://github.com/pre-commit/mirrors-clang-format
-      rev: 'v16.0.6'  # Use the sha / tag you want to point at
+      rev: 'v21.1.8'  # Use the sha / tag you want to point at
       hooks:
         - id: clang-format
           files: \.(cu|cuh|h|cc|inl)$

CMakeLists.txt

@@ -60,7 +60,7 @@ include(rapids-find)
 ###################################
 # Project
 
-set(legate_sparse_version 25.03.00)
+set(legate_sparse_version 25.07.00)
 
 set(CMAKE_CXX_FLAGS_DEBUG "-O0 -g")
 set(CMAKE_CUDA_FLAGS_DEBUG "-O0 -g")

README.md

@@ -29,8 +29,7 @@ for [NumPy](https://numpy.org/doc/stable/reference/index.html#reference), to
 enable writing programs that operate on distributed dense and sparse arrays.
 Take a look at the `examples` directory for some applications that can 
 use Legate Sparse. We have implemented
-an explicit partial-differential equation (PDE) [solver](examples/pde.py) 
-and [Geometric multi-grid](examples/gmg.py) solver. 
+an explicit partial-differential equation (PDE) [solver](examples/pde.py).
 More complex and interesting applications are on the way -- stay tuned!
 
 Legate Sparse is currently in alpha and supports a subset of APIs 

cmake/thirdparty/get_legate.cmake

@@ -24,6 +24,7 @@ function(find_or_configure_legate)
   include("${rapids-cmake-dir}/cpm/detail/package_details.cmake")
   rapids_cpm_package_details(legate version git_repo git_branch shallow exclude_from_all)
 
+  set(version ${PKG_VERSION})
   set(exclude_from_all ${PKG_EXCLUDE_FROM_ALL})
   if(PKG_BRANCH)
     set(git_branch "${PKG_BRANCH}")

cmake/versions.json

@@ -3,22 +3,22 @@
     "legate" : {
       "repo": "legate.internal",
       "org": "nv-legate",
-      "version": "25.03.02",
-      "git_url" : "git@github.com:nv-legate/legate.internal.git",
+      "version": "25.07.00",
+      "git_url" : "git@github.com:nv-legate/legate.git",
       "git_shallow": false,
       "always_download": false,
-      "git_tag" : "75dc0a92bbd2dfb79b6b680a0f37cbd0370d0181",
+      "git_tag" : "a46dc3d5b176ff9546bc831409c394c1bbc3b936",
       "anaconda_label": "main"
     },
     "cupynumeric" : {
       "repo": "cupynumeric.internal",
       "org": "nv-legate",
-      "version": "25.03.02",
-      "git_url" : "git@github.com:nv-legate/cupynumeric.internal",
+      "version": "25.07.00",
+      "git_url" : "git@github.com:nv-legate/cupynumeric",
       "git_shallow": false,
       "always_download": false,
-      "git_tag" : "1fa45603c560068508c3be2e0df45aec62359019",
-      "anaconda_label": "experimental"
+      "git_tag" : "6132d8450049a7abd7786fb4d60444eb5b4e25db",
+      "anaconda_label": "main"
     }
   }
 }

conda/conda-build/conda_build_config.yaml

@@ -6,12 +6,14 @@ upload_build:
   - false
 
 python:
-  - 3.10
   - 3.11
   - 3.12
+  - 3.13
 
 numpy_version:
-  - ">=1.22,<2"
+  # Not 2.1.0 which segfaults on asarray() sometimes, see
+  # https://github.com/numpy/numpy/pull/27249
+  - ">=1.22,!=2.1.0"
 
 cmake_version:
   - ">=3.20.1,!=3.23.0"

conda/conda-build/meta.yaml

@@ -7,14 +7,6 @@
   {# We need to have a default value for the initial pass over the recipe #}
   {% set gpu_enabled_bool = false %}
 {% endif %}
-{% if upload_build == "true" %}
-  {% set upload_build_bool = true %}
-{% elif upload_build == "false" %}
-  {% set upload_build_bool = false %}
-{% else %}
-  {# We need to have a default value for the initial pass over the recipe #}
-  {% set upload_build_bool = false %}
-{% endif %}
 ## The placeholder version is strictly for making two-pass conda build process.
 ## It should not be used for any other purpose, and this is not a default version.
 {% set placeholder_version = '0.0.0.dev' %}
@@ -68,9 +60,9 @@ build:
 
 ## Create legate/cupynumeric version and build string
 {% set legate_version = os.environ.get("LEGATE_VERSION", "1.0.0") %}
-{% set legate_buildstr = "_".join(["cuda" ~ cuda_major, "py" ~ py_version, os.environ.get("LEGATE_BUILDSTR", ""), cpu_gpu_tag]) %}
+{% set legate_buildstr = "_".join(["py" ~ py_version, "*" ~ cpu_gpu_tag.strip('_'), os.environ.get("LEGATE_BUILDSTR", "") ]) %}
 {% set cupynumeric_version = os.environ.get("CUPYNUMERIC_VERSION", "1.0.0") %}
-{% set cupynumeric_buildstr = "_".join(["cuda" ~ cuda_major, "py" ~ py_version, os.environ.get("CUPYNUMERIC_BUILDSTR", ""), cpu_gpu_tag]) %}
+{% set cupynumeric_buildstr = "_".join(["cuda" ~ cuda_major, "py" ~ py_version, cpu_gpu_tag, os.environ.get("CUPYNUMERIC_BUILDSTR", "")]) %}
 
 {% if use_local_path is not defined %}
 # use git hash
@@ -126,7 +118,7 @@ requirements:
     #- libcurand-dev
     - openblas =* =*openmp*
     - llvm-openmp
-    - legate ={{ legate_version }}={{ legate_buildstr }}
+    - legate ={{ legate_version }}=*{{ legate_buildstr }}
     - cupynumeric ={{ cupynumeric_version }}={{ cupynumeric_buildstr }}
 {% if gpu_enabled_bool %}
     # cupynumeric could be only in the run section and we could have just legate
@@ -146,7 +138,6 @@ requirements:
     - numpy {{ numpy_version }}
     - scipy
     - openblas =* =*openmp*
-    - legate ={{ legate_version }}={{ legate_buildstr }}
     - cupynumeric ={{ cupynumeric_version }}={{ cupynumeric_buildstr }}
 {% if gpu_enabled_bool %}
     - libnvjitlink