From f4bd92bdaaee1e6c5a47ecedfe944e35efa6007e Mon Sep 17 00:00:00 2001
From: MarcoGorelli <33491632+MarcoGorelli@users.noreply.github.com>
Date: Mon, 19 Jun 2023 17:44:30 +0100
Subject: [PATCH 1/2] fix numba typing

---
 pandas/core/_numba/kernels/mean_.py | 4 +++-
 pandas/core/_numba/kernels/var_.py  | 4 +++-
 2 files changed, 6 insertions(+), 2 deletions(-)

diff --git a/pandas/core/_numba/kernels/mean_.py b/pandas/core/_numba/kernels/mean_.py
index 8774ff72af852..809b939dc7c48 100644
--- a/pandas/core/_numba/kernels/mean_.py
+++ b/pandas/core/_numba/kernels/mean_.py
@@ -8,6 +8,8 @@
 """
 from __future__ import annotations
 
+from typing import cast
+
 import numba
 import numpy as np
 
@@ -82,7 +84,7 @@ def sliding_mean(
         s = start[i]
         e = end[i]
         if i == 0 or not is_monotonic_increasing_bounds:
-            prev_value = values[s]
+            prev_value = cast(float, values[s])
             num_consecutive_same_value = 0
 
             for j in range(s, e):
diff --git a/pandas/core/_numba/kernels/var_.py b/pandas/core/_numba/kernels/var_.py
index e0f46ba6e3805..3f7e2f8dc0845 100644
--- a/pandas/core/_numba/kernels/var_.py
+++ b/pandas/core/_numba/kernels/var_.py
@@ -8,6 +8,8 @@
 """
 from __future__ import annotations
 
+from typing import cast
+
 import numba
 import numpy as np
 
@@ -92,7 +94,7 @@ def sliding_var(
         s = start[i]
         e = end[i]
         if i == 0 or not is_monotonic_increasing_bounds:
-            prev_value = values[s]
+            prev_value = cast(float, values[s])
             num_consecutive_same_value = 0
 
             for j in range(s, e):

From 9b200ad37868c17026f370a4604e655ae1c087ac Mon Sep 17 00:00:00 2001
From: MarcoGorelli <33491632+MarcoGorelli@users.noreply.github.com>
Date: Mon, 19 Jun 2023 19:23:10 +0100
Subject: [PATCH 2/2] type ignore

---
 pandas/core/_numba/kernels/mean_.py | 8 +++-----
 pandas/core/_numba/kernels/var_.py  | 8 +++-----
 2 files changed, 6 insertions(+), 10 deletions(-)

diff --git a/pandas/core/_numba/kernels/mean_.py b/pandas/core/_numba/kernels/mean_.py
index 809b939dc7c48..2903c7d81bbc0 100644
--- a/pandas/core/_numba/kernels/mean_.py
+++ b/pandas/core/_numba/kernels/mean_.py
@@ -8,8 +8,6 @@
 """
 from __future__ import annotations
 
-from typing import cast
-
 import numba
 import numpy as np
 
@@ -84,7 +82,7 @@ def sliding_mean(
         s = start[i]
         e = end[i]
         if i == 0 or not is_monotonic_increasing_bounds:
-            prev_value = cast(float, values[s])
+            prev_value = values[s]
             num_consecutive_same_value = 0
 
             for j in range(s, e):
@@ -103,7 +101,7 @@ def sliding_mean(
                     neg_ct,
                     compensation_add,
                     num_consecutive_same_value,
-                    prev_value,
+                    prev_value,  # pyright: ignore[reportGeneralTypeIssues]
                 )
         else:
             for j in range(start[i - 1], s):
@@ -128,7 +126,7 @@ def sliding_mean(
                     neg_ct,
                     compensation_add,
                     num_consecutive_same_value,
-                    prev_value,
+                    prev_value,  # pyright: ignore[reportGeneralTypeIssues]
                 )
 
         if nobs >= min_periods and nobs > 0:
diff --git a/pandas/core/_numba/kernels/var_.py b/pandas/core/_numba/kernels/var_.py
index 3f7e2f8dc0845..763daada73b4d 100644
--- a/pandas/core/_numba/kernels/var_.py
+++ b/pandas/core/_numba/kernels/var_.py
@@ -8,8 +8,6 @@
 """
 from __future__ import annotations
 
-from typing import cast
-
 import numba
 import numpy as np
 
@@ -94,7 +92,7 @@ def sliding_var(
         s = start[i]
         e = end[i]
         if i == 0 or not is_monotonic_increasing_bounds:
-            prev_value = cast(float, values[s])
+            prev_value = values[s]
             num_consecutive_same_value = 0
 
             for j in range(s, e):
@@ -113,7 +111,7 @@ def sliding_var(
                     ssqdm_x,
                     compensation_add,
                     num_consecutive_same_value,
-                    prev_value,
+                    prev_value,  # pyright: ignore[reportGeneralTypeIssues]
                 )
         else:
             for j in range(start[i - 1], s):
@@ -138,7 +136,7 @@ def sliding_var(
                     ssqdm_x,
                     compensation_add,
                     num_consecutive_same_value,
-                    prev_value,
+                    prev_value,  # pyright: ignore[reportGeneralTypeIssues]
                 )
 
         if nobs >= min_periods and nobs > ddof: