From 56d10369432ab2f63dad9ace3b905398f770dd98 Mon Sep 17 00:00:00 2001
From: Charles Martin <cpm@charlesmartin.com.au>
Date: Tue, 7 May 2024 15:20:59 +1000
Subject: [PATCH] change import name of the package to keras_mdn_layer

---
 README.md                                  |  4 +--
 examples/1-sineprediction.py               |  2 +-
 examples/4-robojam-touch-generation.py     |  2 +-
 {mdn => keras_mdn_layer}/__init__.py       |  0
 {mdn => keras_mdn_layer}/tests/__init__.py |  0
 {mdn => keras_mdn_layer}/tests/test_mdn.py |  2 +-
 {mdn => keras_mdn_layer}/version.py        |  0
 notebooks/context.py                       |  2 +-
 requirements.txt                           | 35 ----------------------
 9 files changed, 6 insertions(+), 41 deletions(-)
 rename {mdn => keras_mdn_layer}/__init__.py (100%)
 rename {mdn => keras_mdn_layer}/tests/__init__.py (100%)
 rename {mdn => keras_mdn_layer}/tests/test_mdn.py (98%)
 rename {mdn => keras_mdn_layer}/version.py (100%)
 delete mode 100644 requirements.txt

diff --git a/README.md b/README.md
index 157638b..ad23cda 100644
--- a/README.md
+++ b/README.md
@@ -22,7 +22,7 @@ This project requires Python 3.6+, TensorFlow and TensorFlow Probability. You ca
 
     python3 -m pip install keras-mdn-layer
 
-And finally, import the `mdn` module in Python: `import mdn`
+And finally, import the module in Python: `import keras_mdn_layer as mdn`
 
 Alternatively, you can clone or download this repository and then install via `python setup.py install`, or copy the `mdn` folder into your own project.
 
@@ -47,7 +47,7 @@ And finally, for learning how to generate musical touch-screen performances with
 The MDN layer should be the last in your network and you should use `get_mixture_loss_func` to generate a loss function. Here's an example of a simple network with one Dense layer followed by the MDN.
 
     from tensorflow import keras
-    import mdn
+    import keras_mdn_layer as mdn
 
     N_HIDDEN = 15  # number of hidden units in the Dense layer
     N_MIXES = 10  # number of mixture components
diff --git a/examples/1-sineprediction.py b/examples/1-sineprediction.py
index e0bd25d..296cf04 100644
--- a/examples/1-sineprediction.py
+++ b/examples/1-sineprediction.py
@@ -1,6 +1,6 @@
 # Normal imports for everybody
 from tensorflow import keras
-import mdn
+import keras_mdn_layer as mdn
 import numpy as np
 
 
diff --git a/examples/4-robojam-touch-generation.py b/examples/4-robojam-touch-generation.py
index ecb29f9..81d1531 100644
--- a/examples/4-robojam-touch-generation.py
+++ b/examples/4-robojam-touch-generation.py
@@ -8,7 +8,7 @@
 import random
 import time
 import pandas as pd
-import mdn
+import keras_mdn_layer as mdn
 import matplotlib.pyplot as plt
 
 
diff --git a/mdn/__init__.py b/keras_mdn_layer/__init__.py
similarity index 100%
rename from mdn/__init__.py
rename to keras_mdn_layer/__init__.py
diff --git a/mdn/tests/__init__.py b/keras_mdn_layer/tests/__init__.py
similarity index 100%
rename from mdn/tests/__init__.py
rename to keras_mdn_layer/tests/__init__.py
diff --git a/mdn/tests/test_mdn.py b/keras_mdn_layer/tests/test_mdn.py
similarity index 98%
rename from mdn/tests/test_mdn.py
rename to keras_mdn_layer/tests/test_mdn.py
index 33c8103..8fdb2b5 100644
--- a/mdn/tests/test_mdn.py
+++ b/keras_mdn_layer/tests/test_mdn.py
@@ -1,5 +1,5 @@
 from tensorflow.compat.v1 import keras
-import mdn
+import keras_mdn_layer as mdn
 import numpy as np
 
 
diff --git a/mdn/version.py b/keras_mdn_layer/version.py
similarity index 100%
rename from mdn/version.py
rename to keras_mdn_layer/version.py
diff --git a/notebooks/context.py b/notebooks/context.py
index e6bbcda..150bc91 100644
--- a/notebooks/context.py
+++ b/notebooks/context.py
@@ -4,5 +4,5 @@
 import sys
 import os
 sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))
-import mdn
+import keras_mdn_layer as mdn
 from tensorflow import keras
diff --git a/requirements.txt b/requirements.txt
deleted file mode 100644
index 68ce77e..0000000
--- a/requirements.txt
+++ /dev/null
@@ -1,35 +0,0 @@
-absl-py==0.8.1
-astor==0.8.0
-cachetools==3.1.1
-certifi==2019.9.11
-chardet==3.0.4
-cloudpickle==1.1.1
-decorator==4.4.1
-gast==0.2.2
-google-auth==1.6.3
-google-auth-oauthlib==0.4.1
-google-pasta==0.1.7
-grpcio==1.24.3
-h5py==2.10.0
-idna==2.8
-Keras-Applications==1.0.8
-Keras-Preprocessing==1.1.0
-Markdown==3.1.1
-numpy==1.17.3
-oauthlib==3.1.0
-opt-einsum==3.1.0
-protobuf==3.10.0
-pyasn1==0.4.7
-pyasn1-modules==0.2.7
-requests==2.22.0
-requests-oauthlib==1.2.0
-rsa==4.0
-six==1.12.0
-tensorboard==2.0.1
-tensorflow==2.0.1
-tensorflow-estimator==2.0.1
-tensorflow-probability==0.8.0
-termcolor==1.1.0
-urllib3==1.25.6
-Werkzeug==0.16.0
-wrapt==1.11.2