Merge remote-tracking branch 'upstream/main' into more-pixi

.scripts/run_win_build.bat

@@ -90,9 +90,6 @@ cd ..
 if not exist "%CONDA_BLD_PATH%\win-64\" mkdir "%CONDA_BLD_PATH%\win-64\"
 if not exist "%CONDA_BLD_PATH%\win-arm64\" mkdir "%CONDA_BLD_PATH%\win-arm64\"
 if not exist "%CONDA_BLD_PATH%\noarch\" mkdir "%CONDA_BLD_PATH%\noarch\"
-:: Make sure CONDA_BLD_PATH is a valid channel; only do it if noarch/repodata.json doesn't exist
-:: to save some time running locally
-if not exist "%CONDA_BLD_PATH%\noarch\repodata.json" conda index "%CONDA_BLD_PATH%"
 
 echo Index %CONDA_BLD_PATH%
 conda.exe index "%CONDA_BLD_PATH%"

build-locally.py

@@ -31,7 +31,7 @@ def setup_environment(ns):
 
     # The default cache location might not be writable using docker on macOS.
     if ns.config.startswith("linux") and platform.system() == "Darwin":
-        os.environ["CONDA_FORGE_DOCKER_RUN_ARGS"] = "-e XDG_CACHE_HOME=/tmp/rattler_cache"
+        os.environ["CONDA_FORGE_DOCKER_RUN_ARGS"] = "-e RATTLER_CACHE_DIR=/tmp/rattler_cache"
 
 
 def run_docker_build(ns):

recipes/r-glmtrans/bld.bat

@@ -0,0 +1,2 @@
+"%R%" CMD INSTALL --build . %R_ARGS%
+IF %ERRORLEVEL% NEQ 0 exit /B 1

recipes/r-glmtrans/build.sh

@@ -0,0 +1,3 @@
+#!/bin/bash
+export DISABLE_AUTOBREW=1
+${R} CMD INSTALL --build . ${R_ARGS}

recipes/r-glmtrans/meta.yaml

@@ -0,0 +1,72 @@
+{% set version = "2.0.0" %}
+{% set posix = 'm2-' if win else '' %}
+
+package:
+  name: r-glmtrans
+  version: {{ version|replace("-", "_") }}
+
+source:
+  url:
+    - {{ cran_mirror }}/src/contrib/glmtrans_{{ version }}.tar.gz
+    - {{ cran_mirror }}/src/contrib/Archive/glmtrans/glmtrans_{{ version }}.tar.gz
+  sha256: 43fa44945db364fbf3ad943d66b5303c58e70bc501d458ede0b35b9973f8a981
+
+build:
+  number: 0
+  noarch: generic
+  rpaths:
+    - lib/R/lib/
+    - lib/
+
+requirements:
+  build:
+    - {{ posix }}zip               # [win]
+  host:
+    - r-base
+    - r-glmnet
+    - r-ggplot2
+    - r-foreach
+    - r-doparallel
+    - r-caret
+    - r-assertthat
+    - r-formatr
+  run:
+    - r-base
+    - r-glmnet
+    - r-ggplot2
+    - r-foreach
+    - r-doparallel
+    - r-caret
+    - r-assertthat
+    - r-formatr
+
+test:
+  commands:
+    - $R -e "library('glmtrans')"           # [not win]
+    - "\"%R%\" -e \"library('glmtrans')\""  # [win]
+
+about:
+  home: https://CRAN.R-project.org/package=glmtrans
+  license: GPL-2.0-only
+  summary: Transfer Learning under Regularized Generalized Linear Models.
+  license_family: GPL2
+  license_file:
+    - {{ environ["PREFIX"] }}/lib/R/share/licenses/GPL-2
+
+extra:
+  recipe-maintainers:
+    - conda-forge/r
+    - mlondschien
+
+# Package: glmtrans
+# Title: Search Contributed R Packages, Sort by Package
+# Version: 2.0-0
+# Author: Ye Tian [aut, cre], Yang Feng [aut]
+# Maintainer: Ye Tian <ye.t at columbia.edu>
+# Description: Transfer Learning under Regularized Generalized Linear Models
+# License: GPL-2
+# Depends: R (>= 3.5.0)
+# Imports: glmnet, ggplot2, foreach, doParallel, caret, assertthat, formatR, stats
+# Suggests: knitr, rmarkdown
+# Repository: CRAN
+# NeedsCompilation: no

recipes/torchkbnufft/meta.yaml

@@ -0,0 +1,62 @@
+{% set name = "torchkbnufft" %}
+{% set version = "1.4.0" %}
+
+package:
+  name: {{ name|lower }}
+  version: {{ version }}
+
+source:
+  url: https://pypi.org/packages/source/{{ name[0] }}/{{ name }}/torchkbnufft-{{ version }}.tar.gz
+  sha256: 29d93c1299f888f1d7f14f2de5e85d6461785299046a04483abb6134287b716c
+  patches:
+    # lets tests pass with numpy 2.0, see https://github.com/mmuckley/torchkbnufft/pull/100
+    # Todo: remove patch once https://github.com/mmuckley/torchkbnufft/pull/100 is released upstream
+    - patches/0001-conftest-np-2-0.patch
+
+build:
+  noarch: python
+  script: {{ PYTHON }} -m pip install . -vv --no-deps --no-build-isolation
+  number: 0
+
+requirements:
+  host:
+    - python {{ python_min }}
+    - setuptools-scm >=6.3.2
+    - setuptools >=59.5.0
+    - wheel >=0.37.0
+    - pip
+  run:
+    - python >={{ python_min }}
+    - numpy >=1.22.4,<3.0a0
+    - scipy >=1.8.1,<2.0a0
+    - pytorch >=1.12,<3.0a0
+
+test:
+  imports:
+    - torchkbnufft
+  source_files:
+    - tests
+    - notebooks
+  commands:
+    - pip check
+    - pytest tests
+    # omits Toeplitz Example: pytorch 2.0, see https://github.com/mmuckley/torchkbnufft/issues/98
+    - pytest --nbmake "notebooks/Basic Example.ipynb" "notebooks/SENSE Example.ipynb" "notebooks/Sparse Matrix Example.ipynb"
+  requires:
+    - python {{ python_min }}
+    - pip
+    - pytest
+    - matplotlib
+    - nbmake
+
+about:
+  summary: A high-level, easy-to-deploy non-uniform Fast Fourier Transform in PyTorch.
+  home: https://github.com/mmuckley/torchkbnufft
+  dev_url: https://github.com/mmuckley/torchkbnufft
+  doc_url: https://torchkbnufft.readthedocs.io/en/stable/
+  license: MIT
+  license_file: LICENSE
+
+extra:
+  recipe-maintainers:
+    - gabuzi

recipes/torchkbnufft/patches/0001-conftest-np-2-0.patch

@@ -0,0 +1,13 @@
+diff --git a/tests/conftest.py b/tests/conftest.py
+index 1ac5f13..1df4a85 100644
+--- a/tests/conftest.py
++++ b/tests/conftest.py
+@@ -26,7 +26,7 @@ def test_params():
+
+
+ def create_input_plus_noise(shape, is_complex):
+-    x = np.arange(np.product(shape)).reshape(shape)
++    x = np.arange(np.prod(shape)).reshape(shape)
+     x = torch.tensor(x, dtype=torch.get_default_dtype())
+
+     if is_complex: