From c7779116c51b5f21cc5221518c36b4ca6e39b54e Mon Sep 17 00:00:00 2001
From: Alex Murkoff <413x1nkp@gmail.com>
Date: Fri, 14 Jun 2024 20:45:45 +0700
Subject: [PATCH] chore: remove type subscription for np.ndarray specification
 (#56)

* chore: remove type subscription for np.ndarray specification

this is done to avoid errors on python<3.9

* chore: remove import of `Any` from typing since it's unused
---
 rvc/f0/f0.py | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/rvc/f0/f0.py b/rvc/f0/f0.py
index 607c268..0f615e6 100644
--- a/rvc/f0/f0.py
+++ b/rvc/f0/f0.py
@@ -1,4 +1,4 @@
-from typing import Any, Optional, Union
+from typing import Optional, Union
 
 import torch
 import numpy as np
@@ -23,12 +23,12 @@ class F0Predictor(object):
 
     def compute_f0(
         self,
-        wav: np.ndarray[Any, np.dtype],
+        wav: np.ndarray,
         p_len: Optional[int] = None,
         filter_radius: Optional[Union[int, float]] = None,
     ): ...
 
-    def _interpolate_f0(self, f0: np.ndarray[Any, np.dtype]):
+    def _interpolate_f0(self, f0: np.ndarray):
         """
         对F0进行插值处理
         """
@@ -66,7 +66,7 @@ class F0Predictor(object):
 
         return ip_data[:, 0], vuv_vector[:, 0]
 
-    def _resize_f0(self, x: np.ndarray[Any, np.dtype], target_len: int):
+    def _resize_f0(self, x: np.ndarray, target_len: int):
         source = np.array(x)
         source[source < 0.001] = np.nan
         target = np.interp(