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| author | Charles Harris <charlesr.harris@gmail.com> | 2021-04-12 11:38:42 -0600 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2021-04-12 11:38:42 -0600 |
| commit | d0d80b9d35bfe2be5cf1911ad9272551a25f1eaf (patch) | |
| tree | 17fdcc1218c51c7ee7020678e623ae8df0bc3c78 /benchmarks | |
| parent | 912cf8d8166d6863f10b151cb6267603d8b681e0 (diff) | |
| parent | fdeb9794d94a44fedb32c5b0cba5713c1b5f78e6 (diff) | |
| download | numpy-d0d80b9d35bfe2be5cf1911ad9272551a25f1eaf.tar.gz | |
Merge pull request #18728 from anthonyhvo12/avo-exceptions-chaining
MAINT: Add exception chaining where appropriate
Diffstat (limited to 'benchmarks')
| -rw-r--r-- | benchmarks/benchmarks/bench_linalg.py | 4 | ||||
| -rw-r--r-- | benchmarks/benchmarks/bench_ufunc_strides.py | 8 |
2 files changed, 6 insertions, 6 deletions
diff --git a/benchmarks/benchmarks/bench_linalg.py b/benchmarks/benchmarks/bench_linalg.py index a72cccb5f..5ed5b6eec 100644 --- a/benchmarks/benchmarks/bench_linalg.py +++ b/benchmarks/benchmarks/bench_linalg.py @@ -91,8 +91,8 @@ class Linalg(Benchmark): # check that dtype is supported at all try: self.func(self.a[:2, :2]) - except TypeError: - raise NotImplementedError() + except TypeError as e: + raise NotImplementedError() from e def time_op(self, op, typename): self.func(self.a) diff --git a/benchmarks/benchmarks/bench_ufunc_strides.py b/benchmarks/benchmarks/bench_ufunc_strides.py index 58f325e76..213ff0020 100644 --- a/benchmarks/benchmarks/bench_ufunc_strides.py +++ b/benchmarks/benchmarks/bench_ufunc_strides.py @@ -33,7 +33,7 @@ class Unary(Benchmark): try: self.f = getattr(np, ufuncname) except AttributeError: - raise NotImplementedError() + raise NotImplementedError(f"No ufunc {ufuncname} found") from None N = 10000 self.arr = np.ones(stride*N, dtype) self.arr_out = np.empty(stride_out*N, dtype) @@ -68,7 +68,7 @@ class AVX_BFunc(Benchmark): try: self.f = getattr(np, ufuncname) except AttributeError: - raise NotImplementedError() + raise NotImplementedError(f"No ufunc {ufuncname} found") from None N = 10000 self.arr1 = np.array(np.random.rand(stride*N), dtype=dtype) self.arr2 = np.array(np.random.rand(stride*N), dtype=dtype) @@ -109,7 +109,7 @@ class AVX_cmplx_arithmetic(Benchmark): try: self.f = getattr(np, bfuncname) except AttributeError: - raise NotImplementedError() + raise NotImplementedError(f"No bfunc {bfuncname} found") from None N = 10000 self.arr1 = np.ones(stride*N, dtype) self.arr2 = np.ones(stride*N, dtype) @@ -132,7 +132,7 @@ class AVX_cmplx_funcs(Benchmark): try: self.f = getattr(np, bfuncname) except AttributeError: - raise NotImplementedError() + raise NotImplementedError(f"No bfunc {bfuncname} found") from None N = 10000 self.arr1 = np.ones(stride*N, dtype) |