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- import pytest
- @pytest.fixture(params=[True, False])
- def check_dtype(request):
- """
- Fixture returning `True` or `False`, determining whether to check
- if the `dtype` is identical or not, when comparing two data structures,
- e.g. `Series`, `SparseArray` or `DataFrame`.
- """
- return request.param
- @pytest.fixture(params=[True, False])
- def check_exact(request):
- """
- Fixture returning `True` or `False`, determining whether to
- compare floating point numbers exactly or not.
- """
- return request.param
- @pytest.fixture(params=[True, False])
- def check_index_type(request):
- """
- Fixture returning `True` or `False`, determining whether to check
- if the `Index` types are identical or not.
- """
- return request.param
- @pytest.fixture(params=[0.5e-3, 0.5e-5])
- def rtol(request):
- """
- Fixture returning 0.5e-3 or 0.5e-5. Those values are used as relative tolerance.
- """
- return request.param
- @pytest.fixture(params=[True, False])
- def check_categorical(request):
- """
- Fixture returning `True` or `False`, determining whether to
- compare internal `Categorical` exactly or not.
- """
- return request.param
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