Files
pytorch/test/error_messages/storage.py
Aaron Gokaslan 6c2a8b6b38 [Ez][BE]: Enable new stable ruff rules (#129825)
Applies a bunch of new ruff lint rules that are now stable. Some of these improve efficiency or readability. Since I already did passes on the codebase for these when they were in preview, there should be relatively few changes to the codebase. This is just more for future hardening of it.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/129825
Approved by: https://github.com/XuehaiPan, https://github.com/jansel, https://github.com/malfet
2024-07-02 14:47:10 +00:00

77 lines
1.6 KiB
Python

import torch
def check_error(desc, fn, *required_substrings):
try:
fn()
except Exception as e:
error_message = e.args[0]
print("=" * 80)
print(desc)
print("-" * 80)
print(error_message)
print()
for sub in required_substrings:
assert sub in error_message
return
raise AssertionError(f"given function ({desc}) didn't raise an error")
check_error("Wrong argument types", lambda: torch.FloatStorage(object()), "object")
check_error(
"Unknown keyword argument", lambda: torch.FloatStorage(content=1234.0), "keyword"
)
check_error(
"Invalid types inside a sequence",
lambda: torch.FloatStorage(["a", "b"]),
"list",
"str",
)
check_error("Invalid size type", lambda: torch.FloatStorage(1.5), "float")
check_error(
"Invalid offset", lambda: torch.FloatStorage(torch.FloatStorage(2), 4), "2", "4"
)
check_error(
"Negative offset", lambda: torch.FloatStorage(torch.FloatStorage(2), -1), "2", "-1"
)
check_error(
"Invalid size",
lambda: torch.FloatStorage(torch.FloatStorage(3), 1, 5),
"2",
"1",
"5",
)
check_error(
"Negative size",
lambda: torch.FloatStorage(torch.FloatStorage(3), 1, -5),
"2",
"1",
"-5",
)
check_error("Invalid index type", lambda: torch.FloatStorage(10)["first item"], "str")
def assign():
torch.FloatStorage(10)[1:-1] = "1"
check_error("Invalid value type", assign, "str")
check_error(
"resize_ with invalid type", lambda: torch.FloatStorage(10).resize_(1.5), "float"
)
check_error(
"fill_ with invalid type", lambda: torch.IntStorage(10).fill_("asdf"), "str"
)
# TODO: frombuffer