388 lines
11 KiB
Python
388 lines
11 KiB
Python
import numpy as np
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import pytest
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from pandas._libs import join as libjoin
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from pandas._libs.join import inner_join, left_outer_join
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import pandas._testing as tm
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class TestIndexer:
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@pytest.mark.parametrize(
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"dtype", ["int32", "int64", "float32", "float64", "object"]
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)
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def test_outer_join_indexer(self, dtype):
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indexer = libjoin.outer_join_indexer
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left = np.arange(3, dtype=dtype)
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right = np.arange(2, 5, dtype=dtype)
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empty = np.array([], dtype=dtype)
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result, lindexer, rindexer = indexer(left, right)
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assert isinstance(result, np.ndarray)
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assert isinstance(lindexer, np.ndarray)
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assert isinstance(rindexer, np.ndarray)
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tm.assert_numpy_array_equal(result, np.arange(5, dtype=dtype))
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exp = np.array([0, 1, 2, -1, -1], dtype=np.int64)
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tm.assert_numpy_array_equal(lindexer, exp)
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exp = np.array([-1, -1, 0, 1, 2], dtype=np.int64)
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tm.assert_numpy_array_equal(rindexer, exp)
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result, lindexer, rindexer = indexer(empty, right)
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tm.assert_numpy_array_equal(result, right)
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exp = np.array([-1, -1, -1], dtype=np.int64)
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tm.assert_numpy_array_equal(lindexer, exp)
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exp = np.array([0, 1, 2], dtype=np.int64)
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tm.assert_numpy_array_equal(rindexer, exp)
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result, lindexer, rindexer = indexer(left, empty)
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tm.assert_numpy_array_equal(result, left)
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exp = np.array([0, 1, 2], dtype=np.int64)
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tm.assert_numpy_array_equal(lindexer, exp)
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exp = np.array([-1, -1, -1], dtype=np.int64)
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tm.assert_numpy_array_equal(rindexer, exp)
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def test_cython_left_outer_join(self):
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left = np.array([0, 1, 2, 1, 2, 0, 0, 1, 2, 3, 3], dtype=np.int64)
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right = np.array([1, 1, 0, 4, 2, 2, 1], dtype=np.int64)
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max_group = 5
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ls, rs = left_outer_join(left, right, max_group)
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exp_ls = left.argsort(kind="mergesort")
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exp_rs = right.argsort(kind="mergesort")
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exp_li = np.array([0, 1, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 7, 7, 8, 8, 9, 10])
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exp_ri = np.array(
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[0, 0, 0, 1, 2, 3, 1, 2, 3, 1, 2, 3, 4, 5, 4, 5, 4, 5, -1, -1]
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)
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exp_ls = exp_ls.take(exp_li)
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exp_ls[exp_li == -1] = -1
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exp_rs = exp_rs.take(exp_ri)
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exp_rs[exp_ri == -1] = -1
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tm.assert_numpy_array_equal(ls, exp_ls, check_dtype=False)
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tm.assert_numpy_array_equal(rs, exp_rs, check_dtype=False)
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def test_cython_right_outer_join(self):
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left = np.array([0, 1, 2, 1, 2, 0, 0, 1, 2, 3, 3], dtype=np.int64)
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right = np.array([1, 1, 0, 4, 2, 2, 1], dtype=np.int64)
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max_group = 5
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rs, ls = left_outer_join(right, left, max_group)
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exp_ls = left.argsort(kind="mergesort")
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exp_rs = right.argsort(kind="mergesort")
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# 0 1 1 1
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exp_li = np.array(
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[
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0,
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1,
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2,
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3,
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4,
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5,
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3,
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4,
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5,
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3,
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4,
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5,
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# 2 2 4
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6,
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7,
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8,
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6,
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7,
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8,
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-1,
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]
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)
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exp_ri = np.array([0, 0, 0, 1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6])
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exp_ls = exp_ls.take(exp_li)
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exp_ls[exp_li == -1] = -1
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exp_rs = exp_rs.take(exp_ri)
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exp_rs[exp_ri == -1] = -1
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tm.assert_numpy_array_equal(ls, exp_ls, check_dtype=False)
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tm.assert_numpy_array_equal(rs, exp_rs, check_dtype=False)
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def test_cython_inner_join(self):
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left = np.array([0, 1, 2, 1, 2, 0, 0, 1, 2, 3, 3], dtype=np.int64)
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right = np.array([1, 1, 0, 4, 2, 2, 1, 4], dtype=np.int64)
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max_group = 5
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ls, rs = inner_join(left, right, max_group)
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exp_ls = left.argsort(kind="mergesort")
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exp_rs = right.argsort(kind="mergesort")
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exp_li = np.array([0, 1, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 7, 7, 8, 8])
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exp_ri = np.array([0, 0, 0, 1, 2, 3, 1, 2, 3, 1, 2, 3, 4, 5, 4, 5, 4, 5])
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exp_ls = exp_ls.take(exp_li)
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exp_ls[exp_li == -1] = -1
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exp_rs = exp_rs.take(exp_ri)
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exp_rs[exp_ri == -1] = -1
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tm.assert_numpy_array_equal(ls, exp_ls, check_dtype=False)
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tm.assert_numpy_array_equal(rs, exp_rs, check_dtype=False)
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@pytest.mark.parametrize("readonly", [True, False])
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def test_left_join_indexer_unique(readonly):
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a = np.array([1, 2, 3, 4, 5], dtype=np.int64)
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b = np.array([2, 2, 3, 4, 4], dtype=np.int64)
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if readonly:
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# GH#37312, GH#37264
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a.setflags(write=False)
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b.setflags(write=False)
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result = libjoin.left_join_indexer_unique(b, a)
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expected = np.array([1, 1, 2, 3, 3], dtype=np.int64)
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tm.assert_numpy_array_equal(result, expected)
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def test_left_outer_join_bug():
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left = np.array(
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[
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0,
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1,
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0,
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1,
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1,
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2,
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3,
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1,
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0,
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2,
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1,
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2,
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0,
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1,
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1,
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2,
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3,
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2,
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3,
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2,
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1,
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1,
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3,
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0,
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3,
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2,
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3,
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0,
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0,
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2,
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3,
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2,
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0,
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3,
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1,
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3,
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0,
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1,
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3,
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0,
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0,
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1,
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0,
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3,
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1,
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0,
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1,
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0,
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1,
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1,
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0,
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2,
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2,
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2,
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2,
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2,
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0,
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3,
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1,
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2,
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0,
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0,
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3,
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1,
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3,
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2,
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2,
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0,
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1,
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3,
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0,
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2,
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3,
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2,
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3,
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3,
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2,
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3,
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3,
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1,
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3,
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2,
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0,
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0,
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3,
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1,
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1,
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1,
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0,
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2,
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3,
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3,
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1,
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2,
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0,
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3,
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1,
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2,
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0,
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2,
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],
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dtype=np.int64,
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)
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right = np.array([3, 1], dtype=np.int64)
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max_groups = 4
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lidx, ridx = libjoin.left_outer_join(left, right, max_groups, sort=False)
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exp_lidx = np.arange(len(left), dtype=np.int64)
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exp_ridx = -np.ones(len(left), dtype=np.int64)
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exp_ridx[left == 1] = 1
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exp_ridx[left == 3] = 0
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tm.assert_numpy_array_equal(lidx, exp_lidx)
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tm.assert_numpy_array_equal(ridx, exp_ridx)
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def test_inner_join_indexer():
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a = np.array([1, 2, 3, 4, 5], dtype=np.int64)
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b = np.array([0, 3, 5, 7, 9], dtype=np.int64)
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index, ares, bres = libjoin.inner_join_indexer(a, b)
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index_exp = np.array([3, 5], dtype=np.int64)
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tm.assert_almost_equal(index, index_exp)
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aexp = np.array([2, 4], dtype=np.int64)
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bexp = np.array([1, 2], dtype=np.int64)
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tm.assert_almost_equal(ares, aexp)
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tm.assert_almost_equal(bres, bexp)
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a = np.array([5], dtype=np.int64)
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b = np.array([5], dtype=np.int64)
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index, ares, bres = libjoin.inner_join_indexer(a, b)
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tm.assert_numpy_array_equal(index, np.array([5], dtype=np.int64))
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tm.assert_numpy_array_equal(ares, np.array([0], dtype=np.int64))
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tm.assert_numpy_array_equal(bres, np.array([0], dtype=np.int64))
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def test_outer_join_indexer():
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a = np.array([1, 2, 3, 4, 5], dtype=np.int64)
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b = np.array([0, 3, 5, 7, 9], dtype=np.int64)
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index, ares, bres = libjoin.outer_join_indexer(a, b)
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index_exp = np.array([0, 1, 2, 3, 4, 5, 7, 9], dtype=np.int64)
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tm.assert_almost_equal(index, index_exp)
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aexp = np.array([-1, 0, 1, 2, 3, 4, -1, -1], dtype=np.int64)
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bexp = np.array([0, -1, -1, 1, -1, 2, 3, 4], dtype=np.int64)
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tm.assert_almost_equal(ares, aexp)
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tm.assert_almost_equal(bres, bexp)
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a = np.array([5], dtype=np.int64)
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b = np.array([5], dtype=np.int64)
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index, ares, bres = libjoin.outer_join_indexer(a, b)
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tm.assert_numpy_array_equal(index, np.array([5], dtype=np.int64))
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tm.assert_numpy_array_equal(ares, np.array([0], dtype=np.int64))
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tm.assert_numpy_array_equal(bres, np.array([0], dtype=np.int64))
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def test_left_join_indexer():
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a = np.array([1, 2, 3, 4, 5], dtype=np.int64)
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b = np.array([0, 3, 5, 7, 9], dtype=np.int64)
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index, ares, bres = libjoin.left_join_indexer(a, b)
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tm.assert_almost_equal(index, a)
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aexp = np.array([0, 1, 2, 3, 4], dtype=np.int64)
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bexp = np.array([-1, -1, 1, -1, 2], dtype=np.int64)
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tm.assert_almost_equal(ares, aexp)
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tm.assert_almost_equal(bres, bexp)
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a = np.array([5], dtype=np.int64)
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b = np.array([5], dtype=np.int64)
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index, ares, bres = libjoin.left_join_indexer(a, b)
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tm.assert_numpy_array_equal(index, np.array([5], dtype=np.int64))
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tm.assert_numpy_array_equal(ares, np.array([0], dtype=np.int64))
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tm.assert_numpy_array_equal(bres, np.array([0], dtype=np.int64))
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def test_left_join_indexer2():
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idx = np.array([1, 1, 2, 5], dtype=np.int64)
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idx2 = np.array([1, 2, 5, 7, 9], dtype=np.int64)
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res, lidx, ridx = libjoin.left_join_indexer(idx2, idx)
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exp_res = np.array([1, 1, 2, 5, 7, 9], dtype=np.int64)
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tm.assert_almost_equal(res, exp_res)
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exp_lidx = np.array([0, 0, 1, 2, 3, 4], dtype=np.int64)
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tm.assert_almost_equal(lidx, exp_lidx)
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exp_ridx = np.array([0, 1, 2, 3, -1, -1], dtype=np.int64)
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tm.assert_almost_equal(ridx, exp_ridx)
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def test_outer_join_indexer2():
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idx = np.array([1, 1, 2, 5], dtype=np.int64)
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idx2 = np.array([1, 2, 5, 7, 9], dtype=np.int64)
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res, lidx, ridx = libjoin.outer_join_indexer(idx2, idx)
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exp_res = np.array([1, 1, 2, 5, 7, 9], dtype=np.int64)
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tm.assert_almost_equal(res, exp_res)
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exp_lidx = np.array([0, 0, 1, 2, 3, 4], dtype=np.int64)
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tm.assert_almost_equal(lidx, exp_lidx)
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exp_ridx = np.array([0, 1, 2, 3, -1, -1], dtype=np.int64)
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tm.assert_almost_equal(ridx, exp_ridx)
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def test_inner_join_indexer2():
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idx = np.array([1, 1, 2, 5], dtype=np.int64)
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idx2 = np.array([1, 2, 5, 7, 9], dtype=np.int64)
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res, lidx, ridx = libjoin.inner_join_indexer(idx2, idx)
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exp_res = np.array([1, 1, 2, 5], dtype=np.int64)
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tm.assert_almost_equal(res, exp_res)
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exp_lidx = np.array([0, 0, 1, 2], dtype=np.int64)
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tm.assert_almost_equal(lidx, exp_lidx)
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exp_ridx = np.array([0, 1, 2, 3], dtype=np.int64)
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tm.assert_almost_equal(ridx, exp_ridx)
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