forked from pool/python-hypothesis
- This release disallows using "typing.ClassVar" with
"from_type()" and "register_type_strategy()". Why? Because
"ClassVar" can only be used during "class" definition. We
don't generate class attributes. It also does not make sense
as a runtime type on its own.
- Updates our vendored list of top-level domains, which is used
by the provisional "domains()" strategy.
- Fixes issue #3169, an extremely rare bug which would trigger
if an internal least-recently-reused cache dropped a newly
added entry immediately after it was added.
- Fixes issue #3133 and issue #3144, where attempting to
generate Pandas series of lists or sets would fail with
confusing errors if you did not specify "dtype=object".
- Disallows using "typing.TypeAlias" with "from_type()" and
"register_type_strategy()". Why? Because "TypeAlias" is not
really a type, it is a tag for type checkers that some
expression is a type alias, not something else. It does not
make sense for Hypothesis to resolve it as a strategy.
- Updates our autoformatting tools, improving our code style
without any API changes.
- Drops support for Python 3.6, which reached end of life
upstream on 2021-12-23.
- Adds a temporary hook for a downstream tool, which is not
part of the public API.
- Updates our copyright headers to use a general authorship
statement and omit the year.
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python/python-hypothesis?expand=0&rev=147
47 lines
1.1 KiB
Diff
47 lines
1.1 KiB
Diff
---
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tests/conjecture/test_utils.py | 3 ++-
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tests/ghostwriter/test_expected_output.py | 2 +-
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2 files changed, 3 insertions(+), 2 deletions(-)
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--- a/tests/conjecture/test_utils.py
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+++ b/tests/conjecture/test_utils.py
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@@ -11,7 +11,6 @@
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from collections import Counter
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from fractions import Fraction
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-import numpy as np
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import pytest
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from hypothesis import (
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@@ -213,11 +212,13 @@ def test_combine_labels_is_distinct():
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def test_invalid_numpy_sample():
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+ np = pytest.importorskip("numpy")
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with pytest.raises(InvalidArgument):
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cu.check_sample(np.array([[1, 1], [1, 1]]), "array")
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def test_valid_numpy_sample():
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+ np = pytest.importorskip("numpy")
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cu.check_sample(np.array([1, 2, 3]), "array")
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--- a/tests/ghostwriter/test_expected_output.py
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+++ b/tests/ghostwriter/test_expected_output.py
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@@ -23,13 +23,13 @@ import re
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import sys
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from typing import Sequence
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-import numpy
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import pytest
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import hypothesis
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from hypothesis.extra import ghostwriter
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from hypothesis.utils.conventions import not_set
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+numpy = pytest.importorskip("numpy")
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@pytest.fixture
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def update_recorded_outputs(request):
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