From cbd19172c61e72d08b60274191ce1f78eb44a7aa Mon Sep 17 00:00:00 2001
From: kklein <kleinkevin.lu@gmail.com>
Date: Fri, 24 Feb 2023 09:17:42 +0100
Subject: [PATCH] Make check_build run through.

---
 mlens/externals/sklearn/type_of_target.py | 2 +-
 mlens/index/base.py                       | 2 +-
 mlens/testing/dummy.py                    | 4 ++--
 mlens/visualization/var_analysis.py       | 4 ++--
 4 files changed, 6 insertions(+), 6 deletions(-)

diff --git a/mlens/externals/sklearn/type_of_target.py b/mlens/externals/sklearn/type_of_target.py
index ab65a4f5..f99fa132 100644
--- a/mlens/externals/sklearn/type_of_target.py
+++ b/mlens/externals/sklearn/type_of_target.py
@@ -7,7 +7,7 @@
 # License: BSD 3 clause
 
 from __future__ import division
-from collections import Sequence
+from collections.abc import Sequence
 
 
 from scipy.sparse import issparse
diff --git a/mlens/index/base.py b/mlens/index/base.py
index c54b1673..059d9a0b 100644
--- a/mlens/index/base.py
+++ b/mlens/index/base.py
@@ -80,7 +80,7 @@ def partition(n, p):
     >>> _partition(8, 3)
     array([3, 3, 2])
     """
-    sizes = (n // p) * np.ones(p, dtype=np.int)
+    sizes = (n // p) * np.ones(p, dtype=np.int32)
     sizes[:n % p] += 1
     return sizes
 
diff --git a/mlens/testing/dummy.py b/mlens/testing/dummy.py
index a8b1848b..60ca4f67 100644
--- a/mlens/testing/dummy.py
+++ b/mlens/testing/dummy.py
@@ -356,7 +356,7 @@ def _folded_ests(self, X, y, subsets=1):
         t.sort()
 
         weights = []
-        F = np.zeros((len(t), n_ests * subsets * labels), dtype=np.float)
+        F = np.zeros((len(t), n_ests * subsets * labels), dtype=np.float32)
 
         col_id = {}
         col_ass = 0
@@ -417,7 +417,7 @@ def _full_ests(self, X, y, subsets=1):
             indexer = self.indexer
             indexer.fit(X)
 
-        P = np.zeros((X.shape[0], n_ests * subsets * labels), dtype=np.float)
+        P = np.zeros((X.shape[0], n_ests * subsets * labels), dtype=np.float32)
 
         weights = list()
         col_id = {}
diff --git a/mlens/visualization/var_analysis.py b/mlens/visualization/var_analysis.py
index 58cbe488..99cc167c 100644
--- a/mlens/visualization/var_analysis.py
+++ b/mlens/visualization/var_analysis.py
@@ -79,7 +79,7 @@ def pca_comp_plot(X, y=None, figsize=(10, 8),
 
     for dim, frame in [(2, 221), (3, 223)]:
 
-        if dim is 3:
+        if dim == 3:
             # Need to specify projection
             subplot_kwarg = {'projection': '3d'}
 
@@ -94,7 +94,7 @@ def pca_comp_plot(X, y=None, figsize=(10, 8),
             ax[-1].set_title('%s kernel, %i dims' % (kernel, dim))
 
             # Whiten background if dim is 3
-            if dim is 3:
+            if dim == 3:
                 ax[-1].set_facecolor((1, 1, 1))
 
     if show: