Bump version to 0.0.2 to workaround PyPI limitations

README.md

@@ -65,7 +65,7 @@ See the help output with `./deepspeech -h` and the [native client README](native
 
 Pre-built binaries that can be used for performing inference with a trained model can be found on TaskCluster. You'll need to download the appropriate Python wheel package.
 
-[deepspeech-0.0.1-cp27-cp27mu-manylinux1_x86_64.whl (Python 2.7, Linux / amd64)](https://index.taskcluster.net/v1/task/project.deepspeech.deepspeech.native_client.master.cpu/artifacts/public/deepspeech-0.0.1-cp27-cp27mu-manylinux1_x86_64.whl)
+[deepspeech-0.0.2-cp27-cp27mu-manylinux1_x86_64.whl (Python 2.7, Linux / amd64)](https://index.taskcluster.net/v1/task/project.deepspeech.deepspeech.native_client.master.cpu/artifacts/public/deepspeech-0.0.2-cp27-cp27mu-manylinux1_x86_64.whl)
 
 [Other configurations](https://tools.taskcluster.net/index/artifacts/#project.deepspeech.deepspeech.native_client.master/project.deepspeech.deepspeech.native_client.master)
 
@@ -81,8 +81,8 @@ See [client.py](native_client/client.py) for an example of how to use the bindin
 You can download the Node.JS bindings using `util/taskcluster.py` and install them with `npm`:
 
 ```bash
-python util/taskcluster.py --target . --artifact deepspeech-0.0.1.tgz
-npm install deepspeech-0.0.1.tgz
+python util/taskcluster.py --target . --artifact deepspeech-0.0.2.tgz
+npm install deepspeech-0.0.2.tgz
 ```
 
 See [client.js](native_client/client.js) for an example of how to use the bindings.

native_client/README.md

@@ -22,9 +22,9 @@ If you're looking to train a model, you now have a `libctc_decoder_with_kenlm.so
 
 For Python bindings, use `--artifact file_name`, where `file_name` is the appropriate file for your Python version and platform. The names of the available artifacts can be found on the listing page: [Linux](https://tools.taskcluster.net/index/artifacts/project.deepspeech.deepspeech.native_client.master/cpu) or [macOS](https://tools.taskcluster.net/index/artifacts/project.deepspeech.deepspeech.native_client.master/osx).
 
-For example, for Python 2.7 bindings on Linux, you can do `python util/taskcluster.py --target /destination --artifact deepspeech-0.0.1-cp27-cp27mu-manylinux1_x86_64.whl`.
+For example, for Python 2.7 bindings on Linux, you can do `python util/taskcluster.py --target /destination --artifact deepspeech-0.0.2-cp27-cp27mu-manylinux1_x86_64.whl`.
 
-For Node.JS bindings, use `--artifact deepspeech-0.0.1.tgz`.
+For Node.JS bindings, use `--artifact deepspeech-0.0.2.tgz`.
 
 ## Build Requirements
 
@@ -133,4 +133,4 @@ make package
 make npm-pack
 ```
 
-This will create the package `deepspeech-0.0.1.tgz` in `native_client/javascript`.
+This will create the package `deepspeech-0.0.2.tgz` in `native_client/javascript`.

native_client/javascript/index.js

@@ -1,6 +1,6 @@
 const binary = require('node-pre-gyp');
 const path = require('path')
-// 'lib', 'binding', 'v0.0.1', ['node', 'v' + process.versions.modules, process.platform, process.arch].join('-'), 'deepspeech-bingings.node')
+// 'lib', 'binding', 'v0.0.2', ['node', 'v' + process.versions.modules, process.platform, process.arch].join('-'), 'deepspeech-bingings.node')
 const binding_path = binary.find(path.resolve(path.join(__dirname, 'package.json')));
 const binding = require(binding_path);
 

native_client/javascript/package.json

@@ -1,6 +1,6 @@
 {
     "name" : "deepspeech",
-    "version" : "0.0.1",
+    "version" : "0.0.2",
     "description" : "DeepSpeech NodeJS bindings",
     "main" : "./index",
     "author" : "Mozilla DeepSpeech <deepspeech>",

native_client/package.json

@@ -1,6 +1,6 @@
 {
   "name": "ds-client",
-  "version": "0.0.1",
+  "version": "0.0.2",
   "description": "A client binary to access DeepSpeech trained models.",
   "license": "MPL-2.0",
   "author": {
@@ -12,6 +12,6 @@
     "argparse": "1.0.9",
     "sox-stream": "2.0.1",
     "memory-stream": "0.0.3",
-    "deepspeech": "0.0.1"
+    "deepspeech": "0.0.2"
   }
 }

native_client/setup.py

@@ -46,7 +46,7 @@ setup(name = project_name,
       description = 'A library for running inference on a DeepSpeech model',
       author = 'Chris Lord',
       author_email='chrislord.net@gmail.com',
-      version = '0.0.1',
+      version = '0.0.2',
       package_dir = {'deepspeech': 'python'},
       packages = [ 'deepspeech' ],
       cmdclass = { 'build': BuildExtFirst },

tc-node-tests-prod.sh

@@ -19,7 +19,7 @@ download_data
 pushd ${HOME}/DeepSpeech/ds/native_client/
     node --version
     npm --version
-    npm install ${DEEPSPEECH_ARTIFACTS_ROOT}/deepspeech-0.0.1.tgz
+    npm install ${DEEPSPEECH_ARTIFACTS_ROOT}/deepspeech-0.0.2.tgz
     npm install
 
     phrase_pbmodel_withlm=$(node client.js /tmp/${model_name} /tmp/LDC93S1.wav /tmp/alphabet.txt /tmp/lm.binary /tmp/trie)

tc-node-tests.sh

@@ -18,9 +18,9 @@ pushd ${HOME}/DeepSpeech/ds/native_client/
     node --version
     npm --version
     if [ "${aot_model}" = "--aot" ]; then
-        npm install ${DEEPSPEECH_AOT_ARTIFACTS_ROOT}/deepspeech-0.0.1.tgz
+        npm install ${DEEPSPEECH_AOT_ARTIFACTS_ROOT}/deepspeech-0.0.2.tgz
     else
-        npm install ${DEEPSPEECH_ARTIFACTS_ROOT}/deepspeech-0.0.1.tgz
+        npm install ${DEEPSPEECH_ARTIFACTS_ROOT}/deepspeech-0.0.2.tgz
     fi
 
     npm install

tc-python-tests-prod.sh

@@ -42,7 +42,7 @@ pyenv virtualenv ${pyver} ${PYENV_NAME}
 source ${PYENV_ROOT}/versions/${pyver}/envs/${PYENV_NAME}/bin/activate
 
 platform=$(python -c 'import sys; import platform; plat = platform.system().lower(); plat = "manylinux1" if plat == "linux" else plat; sys.stdout.write("%s_%s" % (plat, platform.machine()));')
-deepspeech_pkg="deepspeech-0.0.1-cp${pyver_pkg}-cp${pyver_pkg}${py_unicode_type}-${platform}.whl"
+deepspeech_pkg="deepspeech-0.0.2-cp${pyver_pkg}-cp${pyver_pkg}${py_unicode_type}-${platform}.whl"
 
 pip install --upgrade scipy==0.19.1 ${DEEPSPEECH_ARTIFACTS_ROOT}/${deepspeech_pkg}
 

tc-python-tests.sh

@@ -40,7 +40,7 @@ pyenv virtualenv ${pyver} ${PYENV_NAME}
 source ${PYENV_ROOT}/versions/${pyver}/envs/${PYENV_NAME}/bin/activate
 
 platform=$(python -c 'import sys; import platform; plat = platform.system().lower(); plat = "manylinux1" if plat == "linux" else plat; sys.stdout.write("%s_%s" % (plat, platform.machine()));')
-deepspeech_pkg="deepspeech-0.0.1-cp${pyver_pkg}-cp${pyver_pkg}${py_unicode_type}-${platform}.whl"
+deepspeech_pkg="deepspeech-0.0.2-cp${pyver_pkg}-cp${pyver_pkg}${py_unicode_type}-${platform}.whl"
 
 if [ "${aot_model}" = "--aot" ]; then
     deepspeech_pkg_url=${DEEPSPEECH_AOT_ARTIFACTS_ROOT}/${deepspeech_pkg}