diff --git a/src/wut-dl-sort-txmode b/src/wut-dl-sort-txmode
index 78be040..5834ef9 100755
--- a/src/wut-dl-sort-txmode
+++ b/src/wut-dl-sort-txmode
@@ -22,6 +22,8 @@
 # wut-dl-sort-txmode CW 1467000 1470000
 # For December, 2019 Example:
 # wut-dl-sort-txmode CW 1292461 1470525
+# For July, 2022 Example:
+# wut-dl-sort-txmode BPSK1k2 6154228 6283338
 #
 # * Takes the files in the download/ dir.
 # * Looks at the JSON files to see if it is :good", "bad", or "failed".
diff --git a/src/wut-ml b/src/wut-ml
index 15481e2..c88286a 100755
--- a/src/wut-ml
+++ b/src/wut-ml
@@ -16,25 +16,25 @@
 import os
 import numpy as np
 import tensorflow.python.keras
-from tensorflow.python.keras import Sequential
-from tensorflow.python.keras.layers import Activation, Dropout, Flatten, Dense
-from tensorflow.python.keras.preprocessing.image import ImageDataGenerator
-from tensorflow.python.keras.layers import Convolution2D, MaxPooling2D, ZeroPadding2D
-from tensorflow.python.keras import optimizers
-from tensorflow.python.keras.preprocessing import image
-from tensorflow.python.keras.models import load_model
-from tensorflow.python.keras.preprocessing.image import load_img
-from tensorflow.python.keras.preprocessing.image import img_to_array
+from tensorflow.keras import Sequential
+from tensorflow.keras.layers import Activation, Dropout, Flatten, Dense
+from tensorflow.keras.preprocessing.image import ImageDataGenerator
+from tensorflow.keras.layers import Convolution2D, MaxPooling2D, ZeroPadding2D
+from tensorflow.keras import optimizers
+from tensorflow.keras.preprocessing import image
+from tensorflow.keras.models import load_model
+from tensorflow.keras.preprocessing.image import load_img
+from tensorflow.keras.preprocessing.image import img_to_array
 
 # XXX
-from tensorflow.python.keras.models import Model
-from tensorflow.python.keras.layers import Input, concatenate
-#from tensorflow.python.keras.optimizers import Adam
+from tensorflow.keras.models import Model
+from tensorflow.keras.layers import Input, concatenate
+#from tensorflow.keras.optimizers import Adam
 
 
 # XXX Plot
-from tensorflow.python.keras.utils import plot_model
-from tensorflow.python.keras.callbacks import ModelCheckpoint
+from tensorflow.keras.utils import plot_model
+from tensorflow.keras.callbacks import ModelCheckpoint
 ## for visualizing 
 import matplotlib.pyplot as plt, numpy as np
 from sklearn.decomposition import PCA
diff --git a/src/wut-ml-auto b/src/wut-ml-auto
index 0c58b87..d2ac45e 100755
--- a/src/wut-ml-auto
+++ b/src/wut-ml-auto
@@ -16,25 +16,25 @@
 import os
 import numpy as np
 import tensorflow.python.keras
-from tensorflow.python.keras import Sequential
-from tensorflow.python.keras.layers import Activation, Dropout, Flatten, Dense
-from tensorflow.python.keras.preprocessing.image import ImageDataGenerator
-from tensorflow.python.keras.layers import Convolution2D, MaxPooling2D, ZeroPadding2D
-from tensorflow.python.keras import optimizers
-from tensorflow.python.keras.preprocessing import image
-from tensorflow.python.keras.models import load_model
-from tensorflow.python.keras.preprocessing.image import load_img
-from tensorflow.python.keras.preprocessing.image import img_to_array
+from tensorflow.keras import Sequential
+from tensorflow.keras.layers import Activation, Dropout, Flatten, Dense
+from tensorflow.keras.preprocessing.image import ImageDataGenerator
+from tensorflow.keras.layers import Convolution2D, MaxPooling2D, ZeroPadding2D
+from tensorflow.keras import optimizers
+from tensorflow.keras.preprocessing import image
+from tensorflow.keras.models import load_model
+from tensorflow.keras.preprocessing.image import load_img
+from tensorflow.keras.preprocessing.image import img_to_array
 
 # XXX
-from tensorflow.python.keras.models import Model
-from tensorflow.python.keras.layers import Input, concatenate
-#from tensorflow.python.keras.optimizers import Adam
+from tensorflow.keras.models import Model
+from tensorflow.keras.layers import Input, concatenate
+#from tensorflow.keras.optimizers import Adam
 
 
 # XXX Plot
-from tensorflow.python.keras.utils import plot_model
-from tensorflow.python.keras.callbacks import ModelCheckpoint
+from tensorflow.keras.utils import plot_model
+from tensorflow.keras.callbacks import ModelCheckpoint
 ## for visualizing 
 import matplotlib.pyplot as plt, numpy as np
 from sklearn.decomposition import PCA
diff --git a/src/wut-ml-load b/src/wut-ml-load
index 0e5e7a9..3f6f8da 100755
--- a/src/wut-ml-load
+++ b/src/wut-ml-load
@@ -20,15 +20,15 @@
 import os
 import numpy as np
 import tensorflow.python.keras
-from tensorflow.python.keras import Sequential
-from tensorflow.python.keras.layers import Activation, Dropout, Flatten, Dense
-from tensorflow.python.keras.preprocessing.image import ImageDataGenerator
-from tensorflow.python.keras.layers import Convolution2D, MaxPooling2D, ZeroPadding2D
-from tensorflow.python.keras import optimizers
-from tensorflow.python.keras.preprocessing import image
-from tensorflow.python.keras.models import load_model
-from tensorflow.python.keras.preprocessing.image import load_img
-from tensorflow.python.keras.preprocessing.image import img_to_array
+from tensorflow.keras import Sequential
+from tensorflow.keras.layers import Activation, Dropout, Flatten, Dense
+from tensorflow.keras.preprocessing.image import ImageDataGenerator
+from tensorflow.keras.layers import Convolution2D, MaxPooling2D, ZeroPadding2D
+from tensorflow.keras import optimizers
+from tensorflow.keras.preprocessing import image
+from tensorflow.keras.models import load_model
+from tensorflow.keras.preprocessing.image import load_img
+from tensorflow.keras.preprocessing.image import img_to_array
 
 model = load_model('/srv/satnogs/data/wut.h5')
 img_width=256
diff --git a/src/wut-ml-save b/src/wut-ml-save
index eedc1ce..0221dcb 100755
--- a/src/wut-ml-save
+++ b/src/wut-ml-save
@@ -19,15 +19,15 @@
 import os
 import numpy as np
 import tensorflow.python.keras
-from tensorflow.python.keras import Sequential
-from tensorflow.python.keras.layers import Activation, Dropout, Flatten, Dense
-from tensorflow.python.keras.preprocessing.image import ImageDataGenerator
-from tensorflow.python.keras.layers import Convolution2D, MaxPooling2D, ZeroPadding2D
-from tensorflow.python.keras import optimizers
-from tensorflow.python.keras.preprocessing import image
-from tensorflow.python.keras.models import load_model
-from tensorflow.python.keras.preprocessing.image import load_img
-from tensorflow.python.keras.preprocessing.image import img_to_array
+from tensorflow.keras import Sequential
+from tensorflow.keras.layers import Activation, Dropout, Flatten, Dense
+from tensorflow.keras.preprocessing.image import ImageDataGenerator
+from tensorflow.keras.layers import Convolution2D, MaxPooling2D, ZeroPadding2D
+from tensorflow.keras import optimizers
+from tensorflow.keras.preprocessing import image
+from tensorflow.keras.models import load_model
+from tensorflow.keras.preprocessing.image import load_img
+from tensorflow.keras.preprocessing.image import img_to_array
 
 datagen = ImageDataGenerator()
 train_it = datagen.flow_from_directory('/srv/satnogs/data/train/', class_mode='binary')
diff --git a/src/wut-tf.py b/src/wut-tf.py
index 0e3b0de..c927111 100644
--- a/src/wut-tf.py
+++ b/src/wut-tf.py
@@ -15,17 +15,17 @@ import datetime
 import tensorflow as tf
 import tensorflow.python.keras
 from tensorflow.keras.layers import Dense, Conv2D, Flatten, Dropout, MaxPooling2D
-from tensorflow.python.keras import optimizers
-from tensorflow.python.keras import Sequential
-from tensorflow.python.keras.layers import Activation, Dropout, Flatten, Dense
-from tensorflow.python.keras.layers import Convolution2D, MaxPooling2D, ZeroPadding2D
-from tensorflow.python.keras.layers import Input, concatenate
-from tensorflow.python.keras.models import load_model
-from tensorflow.python.keras.models import Model
-from tensorflow.python.keras.preprocessing import image
-from tensorflow.python.keras.preprocessing.image import img_to_array
-from tensorflow.python.keras.preprocessing.image import ImageDataGenerator
-from tensorflow.python.keras.preprocessing.image import load_img
+from tensorflow.keras import optimizers
+from tensorflow.keras import Sequential
+from tensorflow.keras.layers import Activation, Dropout, Flatten, Dense
+from tensorflow.keras.layers import Convolution2D, MaxPooling2D, ZeroPadding2D
+from tensorflow.keras.layers import Input, concatenate
+from tensorflow.keras.models import load_model
+from tensorflow.keras.models import Model
+from tensorflow.keras.preprocessing import image
+from tensorflow.keras.preprocessing.image import img_to_array
+from tensorflow.keras.preprocessing.image import ImageDataGenerator
+from tensorflow.keras.preprocessing.image import load_img
 os.environ["TF_CONFIG"] = json.dumps({
     "cluster": {
         "worker": [ "ml1-int:2222", "ml2-int:2222", "ml3-int:2222", "ml4-int:2222", "ml5-int:2222" ]
diff --git a/src/wut-worker-mas.py b/src/wut-worker-mas.py
index 798f18d..3435a59 100644
--- a/src/wut-worker-mas.py
+++ b/src/wut-worker-mas.py
@@ -15,17 +15,17 @@ import datetime
 import tensorflow as tf
 import tensorflow.python.keras
 from tensorflow.keras.layers import Dense, Conv2D, Flatten, Dropout, MaxPooling2D
-from tensorflow.python.keras import optimizers
-from tensorflow.python.keras import Sequential
-from tensorflow.python.keras.layers import Activation, Dropout, Flatten, Dense
-from tensorflow.python.keras.layers import Convolution2D, MaxPooling2D, ZeroPadding2D
-from tensorflow.python.keras.layers import Input, concatenate
-from tensorflow.python.keras.models import load_model
-from tensorflow.python.keras.models import Model
-from tensorflow.python.keras.preprocessing import image
-from tensorflow.python.keras.preprocessing.image import img_to_array
-from tensorflow.python.keras.preprocessing.image import ImageDataGenerator
-from tensorflow.python.keras.preprocessing.image import load_img
+from tensorflow.keras import optimizers
+from tensorflow.keras import Sequential
+from tensorflow.keras.layers import Activation, Dropout, Flatten, Dense
+from tensorflow.keras.layers import Convolution2D, MaxPooling2D, ZeroPadding2D
+from tensorflow.keras.layers import Input, concatenate
+from tensorflow.keras.models import load_model
+from tensorflow.keras.models import Model
+from tensorflow.keras.preprocessing import image
+from tensorflow.keras.preprocessing.image import img_to_array
+from tensorflow.keras.preprocessing.image import ImageDataGenerator
+from tensorflow.keras.preprocessing.image import load_img
 
 tf.keras.backend.clear_session()
 tf.config.optimizer.set_jit(True)
diff --git a/src/wut-worker.py b/src/wut-worker.py
index 3aa780f..e094baa 100644
--- a/src/wut-worker.py
+++ b/src/wut-worker.py
@@ -19,17 +19,17 @@ import datetime
 import tensorflow as tf
 import tensorflow.python.keras
 from tensorflow.keras.layers import Dense, Conv2D, Flatten, Dropout, MaxPooling2D
-from tensorflow.python.keras import optimizers
-from tensorflow.python.keras import Sequential
-from tensorflow.python.keras.layers import Activation, Dropout, Flatten, Dense
-from tensorflow.python.keras.layers import Convolution2D, MaxPooling2D, ZeroPadding2D
-from tensorflow.python.keras.layers import Input, concatenate
-from tensorflow.python.keras.models import load_model
-from tensorflow.python.keras.models import Model
-from tensorflow.python.keras.preprocessing import image
-from tensorflow.python.keras.preprocessing.image import img_to_array
-from tensorflow.python.keras.preprocessing.image import ImageDataGenerator
-from tensorflow.python.keras.preprocessing.image import load_img
+from tensorflow.keras import optimizers
+from tensorflow.keras import Sequential
+from tensorflow.keras.layers import Activation, Dropout, Flatten, Dense
+from tensorflow.keras.layers import Convolution2D, MaxPooling2D, ZeroPadding2D
+from tensorflow.keras.layers import Input, concatenate
+from tensorflow.keras.models import load_model
+from tensorflow.keras.models import Model
+from tensorflow.keras.preprocessing import image
+from tensorflow.keras.preprocessing.image import img_to_array
+from tensorflow.keras.preprocessing.image import ImageDataGenerator
+from tensorflow.keras.preprocessing.image import load_img
 from tensorflow.python.data.experimental.ops.distribute_options import AutoShardPolicy
 get_ipython().run_line_magic('matplotlib', 'inline')
 import matplotlib.pyplot as plt