import numpy as np
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from pandas.core.dtypes.common import is_scalar
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import pandas as pd
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import pandas._testing as tm
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class TestSearchsorted:
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def test_searchsorted_string(self, string_dtype):
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arr = pd.array(["a", "b", "c"], dtype=string_dtype)
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result = arr.searchsorted("a", side="left")
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assert is_scalar(result)
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assert result == 0
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result = arr.searchsorted("a", side="right")
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assert is_scalar(result)
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assert result == 1
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def test_searchsorted_numeric_dtypes_scalar(self, any_real_numpy_dtype):
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arr = pd.array([1, 3, 90], dtype=any_real_numpy_dtype)
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result = arr.searchsorted(30)
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assert is_scalar(result)
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assert result == 2
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result = arr.searchsorted([30])
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expected = np.array([2], dtype=np.intp)
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tm.assert_numpy_array_equal(result, expected)
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def test_searchsorted_numeric_dtypes_vector(self, any_real_numpy_dtype):
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arr = pd.array([1, 3, 90], dtype=any_real_numpy_dtype)
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result = arr.searchsorted([2, 30])
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expected = np.array([1, 2], dtype=np.intp)
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tm.assert_numpy_array_equal(result, expected)
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def test_searchsorted_sorter(self, any_real_numpy_dtype):
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arr = pd.array([3, 1, 2], dtype=any_real_numpy_dtype)
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result = arr.searchsorted([0, 3], sorter=np.argsort(arr))
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expected = np.array([0, 2], dtype=np.intp)
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tm.assert_numpy_array_equal(result, expected)
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