[Misc] Rename test_utils -> pytests_utils. (#5438)

* rename

* sort

* rename

---------
Co-authored-by: Ubuntu <ubuntu@ip-172-31-28-63.ap-northeast-1.compute.internal>

tests/python/common/test_merge.py

 import backend as F
 
 import dgl
-from test_utils import parametrize_idtype
+from pytests_utils import parametrize_idtype
 
 
 @parametrize_idtype

tests/python/common/test_partition.py

@@ -4,7 +4,7 @@ import backend as F
 
 from dgl.distributed import graph_partition_book as gpb
 from dgl.partition import NDArrayPartition
-from test_utils import parametrize_idtype
+from pytests_utils import parametrize_idtype
 
 
 @unittest.skipIf(

tests/python/common/test_propagate.py

@@ -5,7 +5,7 @@ import backend as F
 import dgl
 import networkx as nx
 import utils as U
-from test_utils import parametrize_idtype
+from pytests_utils import parametrize_idtype
 
 
 def create_graph(idtype):

tests/python/common/test_readout.py

@@ -6,8 +6,8 @@ import dgl
 import networkx as nx
 import numpy as np
 import pytest
-from test_utils import parametrize_idtype
-from test_utils.graph_cases import get_cases
+from pytests_utils import parametrize_idtype
+from pytests_utils.graph_cases import get_cases
 
 
 @parametrize_idtype

tests/python/common/test_sparse_ops-csr.py

@@ -4,7 +4,7 @@ import dgl
 import numpy as np
 import pytest
 import scipy.sparse as ssp
-from test_utils import parametrize_idtype
+from pytests_utils import parametrize_idtype
 
 if F.backend_name == "pytorch":
     import torch

tests/python/common/test_subgraph.py

@@ -7,7 +7,7 @@ import networkx as nx
 import numpy as np
 import pytest
 import scipy.sparse as ssp
-from test_utils import parametrize_idtype
+from pytests_utils import parametrize_idtype
 
 D = 5
 

tests/python/common/test_traversal.py

@@ -10,7 +10,7 @@ import dgl
 import networkx as nx
 import numpy as np
 import scipy.sparse as sp
-from test_utils import parametrize_idtype
+from pytests_utils import parametrize_idtype
 
 np.random.seed(42)
 

tests/python/common/transforms/test_functional-sort.py

@@ -11,7 +11,7 @@ import numpy as np
 import pytest
 import scipy.sparse as ssp
 from dgl import DGLError
-from test_utils import parametrize_idtype
+from pytests_utils import parametrize_idtype
 
 
 def create_test_heterograph(num_nodes, num_adj, idtype):

tests/python/common/transforms/test_to_block.py

@@ -18,7 +18,7 @@ import backend as F
 
 import dgl
 import dgl.partition
-from test_utils import parametrize_idtype
+from pytests_utils import parametrize_idtype
 
 
 @parametrize_idtype

tests/python/common/transforms/test_transform.py

@@ -26,9 +26,9 @@ import dgl.partition
 import networkx as nx
 import numpy as np
 import pytest
+from pytests_utils import parametrize_idtype
+from pytests_utils.graph_cases import get_cases
 from scipy import sparse as spsp
-from test_utils import parametrize_idtype
-from test_utils.graph_cases import get_cases
 
 D = 5
 

tests/python/common/utils/test_filter.py

@@ -5,7 +5,7 @@ import backend as F
 import dgl
 import numpy as np
 from dgl.utils import Filter
-from test_utils import parametrize_idtype
+from pytests_utils import parametrize_idtype
 
 
 def test_graph_filter():

tests/python/mxnet/test_nn.py

@@ -9,8 +9,8 @@ import numpy as np
 import pytest
 import scipy as sp
 from mxnet import autograd, gluon, nd
-from test_utils import parametrize_idtype
-from test_utils.graph_cases import (
+from pytests_utils import parametrize_idtype
+from pytests_utils.graph_cases import (
     get_cases,
     random_bipartite,
     random_dglgraph,

tests/python/pytorch/dataloading/test_dataloader.py

@@ -11,7 +11,7 @@ import numpy as np
 import pytest
 import torch
 import torch.distributed as dist
-from test_utils import parametrize_idtype
+from pytests_utils import parametrize_idtype
 
 
 @pytest.mark.parametrize("batch_size", [None, 16])

tests/python/pytorch/geometry/test_geometry.py

@@ -8,8 +8,8 @@ import torch as th
 from dgl import DGLError
 from dgl.base import DGLWarning
 from dgl.geometry import farthest_point_sampler, neighbor_matching
-from test_utils import parametrize_idtype
-from test_utils.graph_cases import get_cases
+from pytests_utils import parametrize_idtype
+from pytests_utils.graph_cases import get_cases
 
 
 def test_fps():

tests/python/pytorch/mpops/test_edgewise.py

@@ -6,7 +6,7 @@ import dgl
 import numpy as np
 import pytest
 import torch
-from test_utils import parametrize_idtype
+from pytests_utils import parametrize_idtype
 
 random.seed(42)
 np.random.seed(42)

tests/python/pytorch/nn/test_nn.py

@@ -12,8 +12,8 @@ import pytest
 import scipy as sp
 import torch
 import torch as th
-from test_utils import parametrize_idtype
-from test_utils.graph_cases import (
+from pytests_utils import parametrize_idtype
+from pytests_utils.graph_cases import (
     get_cases,
     random_bipartite,
     random_dglgraph,

tests/python/tensorflow/test_nn.py

@@ -10,14 +10,14 @@ import numpy as np
 import pytest
 import scipy as sp
 import tensorflow as tf
-from tensorflow.keras import layers
-from test_utils import parametrize_idtype
-from test_utils.graph_cases import (
+from pytests_utils import parametrize_idtype
+from pytests_utils.graph_cases import (
     get_cases,
     random_bipartite,
     random_dglgraph,
     random_graph,
 )
+from tensorflow.keras import layers
 
 
 def _AXWb(A, X, W, b):