From f6658ef9fdef5972214fdc338e2c6b5ee308dbf4 Mon Sep 17 00:00:00 2001
From: Patrick Hoefler <61934744+phofl@users.noreply.github.com>
Date: Fri, 8 Jul 2022 14:06:04 -0300
Subject: [PATCH] DEPR: Remove deprecation from private class IntervalTree
 (#47637)

* DEPR: Remove deprecation from private class IntervalTree

* remove test

* Add set inclusive

* Revert "Add set inclusive"

This reverts commit feafc6a186d15756a50f9961305e36d446f9267e.
---
 pandas/_libs/intervaltree.pxi.in               | 15 +++------------
 .../indexes/interval/test_interval_tree.py     | 18 ------------------
 2 files changed, 3 insertions(+), 30 deletions(-)

diff --git a/pandas/_libs/intervaltree.pxi.in b/pandas/_libs/intervaltree.pxi.in
index 1a6106173e58e..8bf1a53d56dfb 100644
--- a/pandas/_libs/intervaltree.pxi.in
+++ b/pandas/_libs/intervaltree.pxi.in
@@ -8,8 +8,6 @@ import warnings
 from pandas._libs import lib
 from pandas._libs.algos import is_monotonic
 
-from pandas._libs.interval import _warning_interval
-
 ctypedef fused int_scalar_t:
     int64_t
     float64_t
@@ -42,18 +40,13 @@ cdef class IntervalTree(IntervalMixin):
         object _is_overlapping, _left_sorter, _right_sorter
         Py_ssize_t _na_count
 
-    def __init__(self, left, right, inclusive: str | None = None, closed: None | lib.NoDefault = lib.no_default, leaf_size=100):
+    def __init__(self, left, right, inclusive: str | None = None, leaf_size=100):
         """
         Parameters
         ----------
         left, right : np.ndarray[ndim=1]
             Left and right bounds for each interval. Assumed to contain no
             NaNs.
-        closed : {'left', 'right', 'both', 'neither'}, optional
-            Whether the intervals are closed on the left-side, right-side, both
-            or neither. Defaults to 'right'.
-
-            .. deprecated:: 1.5.0
 
         inclusive : {"both", "neither", "left", "right"}, optional
             Whether the intervals are closed on the left-side, right-side, both
@@ -66,8 +59,6 @@ cdef class IntervalTree(IntervalMixin):
             to brute-force search. Tune this parameter to optimize query
             performance.
         """
-        inclusive, closed = _warning_interval(inclusive, closed)
-
         if inclusive is None:
             inclusive = "right"
 
@@ -119,7 +110,7 @@ cdef class IntervalTree(IntervalMixin):
         if self._is_overlapping is not None:
             return self._is_overlapping
 
-        # <= when both sides closed since endpoints can overlap
+        # <= when inclusive on both sides since endpoints can overlap
         op = le if self.inclusive == 'both' else lt
 
         # overlap if start of current interval < end of previous interval
@@ -263,7 +254,7 @@ cdef class IntervalNode:
 
 
 # we need specialized nodes and leaves to optimize for different dtype and
-# closed values
+# inclusive values
 
 {{py:
 
diff --git a/pandas/tests/indexes/interval/test_interval_tree.py b/pandas/tests/indexes/interval/test_interval_tree.py
index 06c499b9e33f4..6c30d16e61582 100644
--- a/pandas/tests/indexes/interval/test_interval_tree.py
+++ b/pandas/tests/indexes/interval/test_interval_tree.py
@@ -190,24 +190,6 @@ def test_construction_overflow(self):
         expected = (50 + np.iinfo(np.int64).max) / 2
         assert result == expected
 
-    def test_interval_tree_error_and_warning(self):
-        # GH 40245
-
-        msg = (
-            "Deprecated argument `closed` cannot "
-            "be passed if argument `inclusive` is not None"
-        )
-        with pytest.raises(ValueError, match=msg):
-            left, right = np.arange(10), [np.iinfo(np.int64).max] * 10
-            IntervalTree(left, right, closed="both", inclusive="both")
-
-        msg = "Argument `closed` is deprecated in favor of `inclusive`"
-        with tm.assert_produces_warning(
-            FutureWarning, match=msg, check_stacklevel=False
-        ):
-            left, right = np.arange(10), [np.iinfo(np.int64).max] * 10
-            IntervalTree(left, right, closed="both")
-
     @pytest.mark.xfail(not IS64, reason="GH 23440")
     @pytest.mark.parametrize(
         "left, right, expected",