From b408067d9ad6fe26a4396408f3f4e823c8025baa Mon Sep 17 00:00:00 2001
From: NM512 <morihira3513@gmail.com>
Date: Sun, 18 Jun 2023 17:18:24 +0900
Subject: [PATCH] avoid DeprecationWarning

---
 envs/memorymaze.py | 6 +++---
 envs/wrappers.py   | 4 ++--
 requirements.txt   | 3 ++-
 tools.py           | 2 +-
 4 files changed, 8 insertions(+), 7 deletions(-)

diff --git a/envs/memorymaze.py b/envs/memorymaze.py
index 09603a3..531ebc0 100644
--- a/envs/memorymaze.py
+++ b/envs/memorymaze.py
@@ -36,9 +36,9 @@ class MemoryMaze:
         return {
             **spaces,
             "reward": gym.spaces.Box(-np.inf, np.inf, (), dtype=np.float32),
-            "is_first": gym.spaces.Box(0, 1, (), dtype=np.bool),
-            "is_last": gym.spaces.Box(0, 1, (), dtype=np.bool),
-            "is_terminal": gym.spaces.Box(0, 1, (), dtype=np.bool),
+            "is_first": gym.spaces.Box(0, 1, (), dtype=bool),
+            "is_last": gym.spaces.Box(0, 1, (), dtype=bool),
+            "is_terminal": gym.spaces.Box(0, 1, (), dtype=bool),
         }
 
     @property
diff --git a/envs/wrappers.py b/envs/wrappers.py
index c94b8e9..da80837 100644
--- a/envs/wrappers.py
+++ b/envs/wrappers.py
@@ -77,8 +77,8 @@ class CollectDataset:
             dtype = {16: np.int16, 32: np.int32, 64: np.int64}[self._precision]
         elif np.issubdtype(value.dtype, np.uint8):
             dtype = np.uint8
-        elif np.issubdtype(value.dtype, np.bool):
-            dtype = np.bool
+        elif np.issubdtype(value.dtype, bool):
+            dtype = bool
         else:
             raise NotImplementedError(value.dtype)
         return value.astype(dtype)
diff --git a/requirements.txt b/requirements.txt
index 5b82ad3..934d685 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -9,4 +9,5 @@ moviepy==1.0.3
 einops==0.3.0
 protobuf==3.20.0
 gym==0.19.0
-dm_control==1.0.9
\ No newline at end of file
+dm_control==1.0.9
+scipy==scipy==1.9.0
\ No newline at end of file
diff --git a/tools.py b/tools.py
index 8b52379..14aa42d 100644
--- a/tools.py
+++ b/tools.py
@@ -127,7 +127,7 @@ def simulate(agent, envs, steps=0, episodes=0, state=None):
     # Initialize or unpack simulation state.
     if state is None:
         step, episode = 0, 0
-        done = np.ones(len(envs), np.bool)
+        done = np.ones(len(envs), bool)
         length = np.zeros(len(envs), np.int32)
         obs = [None] * len(envs)
         agent_state = None