Clean-up triggers

Author: cbourjau

.github/workflows/array-api-daily.yaml

@@ -1,27 +1,20 @@
 name: Array API tests (long)
 
 on:
-  # We would like to trigger for CI for any pull request action -
-  # both from QuantCo's branches as well as forks.
-  pull_request:
-  # In addition to pull requests, we want to run CI for pushes
-  # to the main branch and tags.
-  push:
-    branches:
-      - "*"
-    tags:
-      - "*"
   schedule:
-    - cron: "0 1 * * *" # Runs weekly at 01:00 UTC each day
+    - cron: "0 1 * * *" # Runs daily at 01:00 UTC each day
+  push:
+    paths:
+      - ".github/workflows/array-api-daily.yml"
 
 # Automatically stop old builds on the same branch/PR
 concurrency:
   group: ${{ github.workflow }}-${{ github.ref }}
   cancel-in-progress: true
 
 jobs:
+  # TODO: Allow triggering this job via a comment in a PR
   scheduled-array-api-tests:
-    # Run if the commit message contains 'run array-api tests' or if the job is triggered on schedule
     name: Array API test
     timeout-minutes: 360
     runs-on: ${{ matrix.os }}

tests/test_hypothesis_examples.py

@@ -0,0 +1,52 @@
+# Copyright (c) QuantCo 2023-2024
+# SPDX-License-Identifier: BSD-3-Clause
+
+import numpy as np
+import pytest
+
+import ndonnx as ndx
+
+
+@pytest.mark.skip(
+    reason="NumPy is data dependent in this case but the standard leaves as UB"
+)
+def test_asarray_infer_dtype_very_large_integer():
+    def do(npx):
+        return npx.asarray(9223372036854775808)
+
+    np.testing.assert_equal(do(np), do(ndx).unwrap_numpy())
+
+
+@pytest.mark.parametrize(
+    "start,stop,step",
+    [
+        (-1, 9_223_372_036_854_775_807, 288_230_376_151_711_744),
+        (9_223_372_036_854_775_806, 9_223_372_036_854_775_807, 1),
+    ],
+)
+def test_arange(start, stop, step):
+    def do(npx):
+        return npx.arange(start, stop, step, dtype=npx.float32)
+
+    np_res = do(np)
+    ndx_res = do(ndx).unwrap_numpy()
+
+    assert np_res.shape == ndx_res.shape
+
+    np.testing.assert_equal(np_res[0], ndx_res[0])
+
+
+def test_all():
+    def do(npx):
+        arr = npx.ones(shape=(0, 0), dtype=npx.bool)
+        return npx.all(arr)
+
+    np.testing.assert_equal(do(np), do(ndx).unwrap_numpy())
+
+
+def test_any():
+    def do(npx):
+        arr = npx.ones(shape=(0, 0), dtype=npx.bool)
+        return npx.any(arr)
+
+    np.testing.assert_equal(do(np), do(ndx).unwrap_numpy())