Merge branch 'main' into users/phschaad/cutout_changes

.github/workflows/fpga-ci.yml

@@ -2,11 +2,14 @@ name: FPGA Tests
 
 on:
   push:
-    branches: [ master, ci-fix ]
+    branches: [ main, ci-fix ]
   pull_request:
-    branches: [ master, ci-fix ]
+    branches: [ main, ci-fix ]
   merge_group:
-    branches: [ master, ci-fix ]
+    branches: [ main, ci-fix ]
+
+env:
+  CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
 
 jobs:
   test-fpga:

.github/workflows/general-ci.yml

@@ -2,11 +2,11 @@ name: General Tests
 
 on:
   push:
-    branches: [ master, ci-fix ]
+    branches: [ main, ci-fix ]
   pull_request:
-    branches: [ master, ci-fix ]
+    branches: [ main, ci-fix ]
   merge_group:
-    branches: [ master, ci-fix ]
+    branches: [ main, ci-fix ]
 
 jobs:
   test:
@@ -85,4 +85,8 @@ jobs:
         ./tests/polybench_test.sh
         ./tests/xform_test.sh
         coverage combine .; coverage report; coverage xml
-        ./codecov
+
+    - uses: codecov/codecov-action@v4
+      with:
+        token: ${{ secrets.CODECOV_TOKEN }}
+        verbose: true

.github/workflows/gpu-ci.yml

@@ -2,15 +2,16 @@ name: GPU Tests
 
 on:
   push:
-    branches: [ master, ci-fix ]
+    branches: [ main, ci-fix ]
   pull_request:
-    branches: [ master, ci-fix ]
+    branches: [ main, ci-fix ]
   merge_group:
-    branches: [ master, ci-fix ]
+    branches: [ main, ci-fix ]
 
 env:
   CUDACXX: /usr/local/cuda/bin/nvcc
   MKLROOT: /opt/intel/oneapi/mkl/latest/
+  CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
 
 
 jobs:

.github/workflows/heterogeneous-ci.yml

@@ -2,16 +2,17 @@ name: Heterogeneous Tests
 
 on:
   push:
-    branches: [ master, ci-fix ]
+    branches: [ main, ci-fix ]
   pull_request:
-    branches: [ master, ci-fix ]
+    branches: [ main, ci-fix ]
   merge_group:
-    branches: [ master, ci-fix ]
+    branches: [ main, ci-fix ]
 
 env:
   CUDA_HOME: /usr/local/cuda
   CUDACXX: nvcc
   MKLROOT: /opt/intel/oneapi/mkl/latest/
+  CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
 
 jobs:
   test-heterogeneous:

.github/workflows/pyFV3-ci.yml

@@ -2,11 +2,11 @@ name: NASA/NOAA pyFV3 repository build test
 
 on:
   push:
-    branches: [ master, ci-fix ]
+    branches: [ main, ci-fix ]
   pull_request:
-    branches: [ master, ci-fix ]
+    branches: [ main, ci-fix ]
   merge_group:
-    branches: [ master, ci-fix ]
+    branches: [ main, ci-fix ]
 
 defaults:
     run:

CONTRIBUTING.md

@@ -47,7 +47,7 @@ For automatic styling, we use the [yapf](https://github.com/google/yapf) file fo
 We use [pytest](https://www.pytest.org/) for our testing infrastructure. All tests under the `tests/` folder 
 (and any subfolders within) are automatically read and run. The files must be under the right subfolder
 based on the component being tested (e.g., `tests/sdfg/` for IR-related tests), and must have the right
-suffix: either `*_test.py` or `*_cudatest.py`. See [pytest.ini](https://github.com/spcl/dace/blob/master/pytest.ini)
+suffix: either `*_test.py` or `*_cudatest.py`. See [pytest.ini](https://github.com/spcl/dace/blob/main/pytest.ini)
 for more information, and for the markers we use to specify software/hardware requirements.
 
 The structure of the test file must follow `pytest` standards (i.e., free functions called `test_*`), and

README.md

@@ -3,15 +3,15 @@
 [![FPGA Tests](https://github.com/spcl/dace/actions/workflows/fpga-ci.yml/badge.svg)](https://github.com/spcl/dace/actions/workflows/fpga-ci.yml)
 [![Documentation Status](https://readthedocs.org/projects/spcldace/badge/?version=latest)](https://spcldace.readthedocs.io/en/latest/?badge=latest)
 [![PyPI version](https://badge.fury.io/py/dace.svg)](https://badge.fury.io/py/dace)
-[![codecov](https://codecov.io/gh/spcl/dace/branch/master/graph/badge.svg)](https://codecov.io/gh/spcl/dace)
+[![codecov](https://codecov.io/gh/spcl/dace/branch/main/graph/badge.svg)](https://codecov.io/gh/spcl/dace)
 
 
 ![D](dace.svg)aCe - Data-Centric Parallel Programming
 =====================================================
 
 _Decoupling domain science from performance optimization._
 
-DaCe is a [fast](https://nbviewer.org/github/spcl/dace/blob/master/tutorials/benchmarking.ipynb) parallel programming
+DaCe is a [fast](https://nbviewer.org/github/spcl/dace/blob/main/tutorials/benchmarking.ipynb) parallel programming
 framework that takes code in Python/NumPy and other programming languages, and maps it to high-performance 
 **CPU, GPU, and FPGA** programs, which can be optimized to achieve state-of-the-art. Internally, DaCe 
 uses the Stateful DataFlow multiGraph (SDFG) *data-centric intermediate 
@@ -61,13 +61,13 @@ be used in any C ABI compatible language (C/C++, FORTRAN, etc.).
 
 For more information on how to use DaCe, see the [samples](samples) or tutorials below:
 
-* [Getting Started](https://nbviewer.jupyter.org/github/spcl/dace/blob/master/tutorials/getting_started.ipynb)
-* [Benchmarks, Instrumentation, and Performance Comparison with Other Python Compilers](https://nbviewer.jupyter.org/github/spcl/dace/blob/master/tutorials/benchmarking.ipynb)
-* [Explicit Dataflow in Python](https://nbviewer.jupyter.org/github/spcl/dace/blob/master/tutorials/explicit.ipynb)
-* [NumPy API Reference](https://nbviewer.jupyter.org/github/spcl/dace/blob/master/tutorials/numpy_frontend.ipynb)
-* [SDFG API](https://nbviewer.jupyter.org/github/spcl/dace/blob/master/tutorials/sdfg_api.ipynb)
-* [Using and Creating Transformations](https://nbviewer.jupyter.org/github/spcl/dace/blob/master/tutorials/transformations.ipynb)
-* [Extending the Code Generator](https://nbviewer.jupyter.org/github/spcl/dace/blob/master/tutorials/codegen.ipynb)
+* [Getting Started](https://nbviewer.jupyter.org/github/spcl/dace/blob/main/tutorials/getting_started.ipynb)
+* [Benchmarks, Instrumentation, and Performance Comparison with Other Python Compilers](https://nbviewer.jupyter.org/github/spcl/dace/blob/main/tutorials/benchmarking.ipynb)
+* [Explicit Dataflow in Python](https://nbviewer.jupyter.org/github/spcl/dace/blob/main/tutorials/explicit.ipynb)
+* [NumPy API Reference](https://nbviewer.jupyter.org/github/spcl/dace/blob/main/tutorials/numpy_frontend.ipynb)
+* [SDFG API](https://nbviewer.jupyter.org/github/spcl/dace/blob/main/tutorials/sdfg_api.ipynb)
+* [Using and Creating Transformations](https://nbviewer.jupyter.org/github/spcl/dace/blob/main/tutorials/transformations.ipynb)
+* [Extending the Code Generator](https://nbviewer.jupyter.org/github/spcl/dace/blob/main/tutorials/codegen.ipynb)
 
 Publication
 -----------