From 5e864e7c44bd82ff4f98a6b09944c971334d022a Mon Sep 17 00:00:00 2001
From: Brock <jbrockmendel@gmail.com>
Date: Mon, 9 Oct 2023 20:15:03 -0700
Subject: [PATCH] REF: de-duplicate IntervalArray formatting functions

---
 pandas/core/arrays/interval.py | 43 ++++------------------------------
 1 file changed, 4 insertions(+), 39 deletions(-)

diff --git a/pandas/core/arrays/interval.py b/pandas/core/arrays/interval.py
index b55a40f5488ea..4bc30d6dbd029 100644
--- a/pandas/core/arrays/interval.py
+++ b/pandas/core/arrays/interval.py
@@ -15,8 +15,6 @@
 
 import numpy as np
 
-from pandas._config import get_option
-
 from pandas._libs import lib
 from pandas._libs.interval import (
     VALID_CLOSED,
@@ -1233,43 +1231,10 @@ def value_counts(self, dropna: bool = True) -> Series:
     # ---------------------------------------------------------------------
     # Rendering Methods
 
-    def _format_data(self) -> str:
-        # TODO: integrate with categorical and make generic
-        n = len(self)
-        max_seq_items = min((get_option("display.max_seq_items") or n) // 10, 10)
-
-        formatter = str
-
-        if n == 0:
-            summary = "[]"
-        elif n == 1:
-            first = formatter(self[0])
-            summary = f"[{first}]"
-        elif n == 2:
-            first = formatter(self[0])
-            last = formatter(self[-1])
-            summary = f"[{first}, {last}]"
-        else:
-            if n > max_seq_items:
-                n = min(max_seq_items // 2, 10)
-                head = [formatter(x) for x in self[:n]]
-                tail = [formatter(x) for x in self[-n:]]
-                head_str = ", ".join(head)
-                tail_str = ", ".join(tail)
-                summary = f"[{head_str} ... {tail_str}]"
-            else:
-                tail = [formatter(x) for x in self]
-                tail_str = ", ".join(tail)
-                summary = f"[{tail_str}]"
-
-        return summary
-
-    def __repr__(self) -> str:
-        data = self._format_data()
-        class_name = f"<{type(self).__name__}>\n"
-
-        template = f"{class_name}{data}\nLength: {len(self)}, dtype: {self.dtype}"
-        return template
+    def _formatter(self, boxed: bool = False):
+        # returning 'str' here causes us to render as e.g. "(0, 1]" instead of
+        #  "Interval(0, 1, closed='right')"
+        return str
 
     # ---------------------------------------------------------------------
     # Vectorized Interval Properties/Attributes