196 lines
4.0 KiB
Python
196 lines
4.0 KiB
Python
import operator
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import pytest
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from pandas import Series
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@pytest.fixture
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def dtype():
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"""A fixture providing the ExtensionDtype to validate."""
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raise NotImplementedError
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@pytest.fixture
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def data():
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"""
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Length-100 array for this type.
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* data[0] and data[1] should both be non missing
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* data[0] and data[1] should not be equal
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"""
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raise NotImplementedError
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@pytest.fixture
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def data_for_twos():
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"""Length-100 array in which all the elements are two."""
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raise NotImplementedError
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@pytest.fixture
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def data_missing():
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"""Length-2 array with [NA, Valid]"""
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raise NotImplementedError
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@pytest.fixture(params=["data", "data_missing"])
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def all_data(request, data, data_missing):
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"""Parametrized fixture giving 'data' and 'data_missing'"""
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if request.param == "data":
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return data
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elif request.param == "data_missing":
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return data_missing
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@pytest.fixture
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def data_repeated(data):
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"""
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Generate many datasets.
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Parameters
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----------
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data : fixture implementing `data`
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Returns
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-------
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Callable[[int], Generator]:
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A callable that takes a `count` argument and
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returns a generator yielding `count` datasets.
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"""
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def gen(count):
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for _ in range(count):
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yield data
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return gen
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@pytest.fixture
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def data_for_sorting():
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"""
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Length-3 array with a known sort order.
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This should be three items [B, C, A] with
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A < B < C
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"""
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raise NotImplementedError
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@pytest.fixture
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def data_missing_for_sorting():
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"""
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Length-3 array with a known sort order.
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This should be three items [B, NA, A] with
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A < B and NA missing.
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"""
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raise NotImplementedError
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@pytest.fixture
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def na_cmp():
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"""
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Binary operator for comparing NA values.
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Should return a function of two arguments that returns
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True if both arguments are (scalar) NA for your type.
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By default, uses ``operator.is_``
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"""
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return operator.is_
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@pytest.fixture
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def na_value():
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"""The scalar missing value for this type. Default 'None'"""
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return None
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@pytest.fixture
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def data_for_grouping():
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"""
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Data for factorization, grouping, and unique tests.
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Expected to be like [B, B, NA, NA, A, A, B, C]
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Where A < B < C and NA is missing
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"""
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raise NotImplementedError
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@pytest.fixture(params=[True, False])
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def box_in_series(request):
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"""Whether to box the data in a Series"""
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return request.param
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@pytest.fixture(
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params=[
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lambda x: 1,
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lambda x: [1] * len(x),
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lambda x: Series([1] * len(x)),
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lambda x: x,
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],
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ids=["scalar", "list", "series", "object"],
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)
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def groupby_apply_op(request):
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"""
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Functions to test groupby.apply().
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"""
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return request.param
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@pytest.fixture(params=[True, False])
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def as_frame(request):
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"""
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Boolean fixture to support Series and Series.to_frame() comparison testing.
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"""
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return request.param
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@pytest.fixture(params=[True, False])
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def as_series(request):
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"""
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Boolean fixture to support arr and Series(arr) comparison testing.
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"""
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return request.param
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@pytest.fixture(params=[True, False])
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def use_numpy(request):
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"""
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Boolean fixture to support comparison testing of ExtensionDtype array
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and numpy array.
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"""
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return request.param
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@pytest.fixture(params=["ffill", "bfill"])
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def fillna_method(request):
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"""
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Parametrized fixture giving method parameters 'ffill' and 'bfill' for
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Series.fillna(method=<method>) testing.
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"""
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return request.param
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@pytest.fixture(params=[True, False])
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def as_array(request):
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"""
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Boolean fixture to support ExtensionDtype _from_sequence method testing.
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"""
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return request.param
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@pytest.fixture
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def invalid_scalar(data):
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"""
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A scalar that *cannot* be held by this ExtensionArray.
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The default should work for most subclasses, but is not guaranteed.
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If the array can hold any item (i.e. object dtype), then use pytest.skip.
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"""
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return object.__new__(object)
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