Make Metadata.items more idiomatic in Python bindings
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9815d54218
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f397006436
@ -39,6 +39,7 @@ N_FEATURES = 26
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# Size of the context window used for producing timesteps in the input vector
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N_CONTEXT = 9
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def convert_samplerate(audio_path):
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sox_cmd = 'sox {} --type raw --bits 16 --channels 1 --rate 16000 --encoding signed-integer --endian little --compression 0.0 --no-dither - '.format(quote(audio_path))
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try:
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@ -50,11 +51,9 @@ def convert_samplerate(audio_path):
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return 16000, np.frombuffer(output, np.int16)
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def metadata_to_string(metadata):
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retval = ''
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for item in range(metadata.num_items):
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retval += metadata.items[item].character
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return retval
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return ''.join(item.character for item in metadata.items)
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class VersionAction(argparse.Action):
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@ -65,6 +64,7 @@ class VersionAction(argparse.Action):
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printVersions()
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exit(0)
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def main():
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parser = argparse.ArgumentParser(description='Running DeepSpeech inference.')
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parser.add_argument('--model', required=True,
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@ -33,17 +33,19 @@ import_array();
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%append_output(SWIG_NewPointerObj(%as_voidptr(*$1), $*1_descriptor, 0));
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}
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%extend struct MetadataItem {
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MetadataItem* __getitem__(size_t i) {
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return &$self[i];
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}
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}
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%typemap(out) Metadata* {
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// owned, extended destructor needs to be called by SWIG
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%append_output(SWIG_NewPointerObj(%as_voidptr($1), $1_descriptor, SWIG_POINTER_OWN));
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}
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%typemap(out) MetadataItem* %{
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$result = PyList_New(arg1->num_items);
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for (int i = 0; i < arg1->num_items; ++i) {
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PyObject* o = SWIG_NewPointerObj(SWIG_as_voidptr(&arg1->items[i]), SWIGTYPE_p_MetadataItem, 0);
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PyList_SetItem($result, i, o);
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}
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%}
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%extend struct Metadata {
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~Metadata() {
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DS_FreeMetadata($self);
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@ -1,6 +1,5 @@
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[build_ext]
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include-dirs=./
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swig-opts=-c++ -keyword
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build-lib=temp_build
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build-temp=temp_build
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@ -7,93 +7,101 @@ import os
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import subprocess
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import sys
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try:
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import numpy
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def main():
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try:
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numpy_include = numpy.get_include()
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except AttributeError:
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numpy_include = numpy.get_numpy_include()
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except ImportError:
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numpy_include = ''
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assert 'NUMPY_INCLUDE' in os.environ
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import numpy
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try:
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numpy_include = numpy.get_include()
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except AttributeError:
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numpy_include = numpy.get_numpy_include()
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except ImportError:
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numpy_include = ''
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assert 'NUMPY_INCLUDE' in os.environ
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def read(fname):
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return open(os.path.join(os.path.dirname(__file__), fname)).read()
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def read(fname):
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return open(os.path.join(os.path.dirname(__file__), fname)).read()
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numpy_include = os.getenv('NUMPY_INCLUDE', numpy_include)
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numpy_min_ver = os.getenv('NUMPY_DEP_VERSION', '')
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numpy_include = os.getenv('NUMPY_INCLUDE', numpy_include)
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numpy_min_ver = os.getenv('NUMPY_DEP_VERSION', '')
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project_name = 'deepspeech'
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if '--project_name' in sys.argv:
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project_name_idx = sys.argv.index('--project_name')
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project_name = sys.argv[project_name_idx + 1]
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sys.argv.remove('--project_name')
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sys.argv.pop(project_name_idx)
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project_name = 'deepspeech'
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if '--project_name' in sys.argv:
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project_name_idx = sys.argv.index('--project_name')
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project_name = sys.argv[project_name_idx + 1]
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sys.argv.remove('--project_name')
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sys.argv.pop(project_name_idx)
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with open('../../VERSION', 'r') as ver:
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project_version = ver.read().strip()
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with open('../../VERSION', 'r') as ver:
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project_version = ver.read().strip()
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class BuildExtFirst(build):
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sub_commands = [('build_ext', build.has_ext_modules),
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('build_py', build.has_pure_modules),
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('build_clib', build.has_c_libraries),
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('build_scripts', build.has_scripts)]
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class BuildExtFirst(build):
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sub_commands = [('build_ext', build.has_ext_modules),
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('build_py', build.has_pure_modules),
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('build_clib', build.has_c_libraries),
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('build_scripts', build.has_scripts)]
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# Properly pass arguments for linking, setuptools will perform some checks
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def lib_dirs_split(a):
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if os.name == 'posix':
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return a.split('-L')[1:]
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# Properly pass arguments for linking, setuptools will perform some checks
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def lib_dirs_split(a):
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if os.name == 'posix':
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return a.split('-L')[1:]
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if os.name == 'nt':
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return []
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if os.name == 'nt':
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return []
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def libs_split(a):
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if os.name == 'posix':
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return a.split('-l')[1:]
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raise AssertionError('os.name == java not expected')
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if os.name == 'nt':
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return a.split('.lib')[0:1]
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def libs_split(a):
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if os.name == 'posix':
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return a.split('-l')[1:]
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ds_ext = Extension('deepspeech._impl',
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['impl.i'],
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include_dirs = [ numpy_include, '../' ],
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library_dirs = list(map(lambda x: x.strip(), lib_dirs_split(os.getenv('MODEL_LDFLAGS', '')))),
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libraries = list(map(lambda x: x.strip(), libs_split(os.getenv('MODEL_LIBS', ''))))
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)
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if os.name == 'nt':
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return a.split('.lib')[0:1]
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setup(name = project_name,
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description = 'A library for running inference on a DeepSpeech model',
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long_description = read('../../README.md'),
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long_description_content_type = 'text/markdown; charset=UTF-8',
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author = 'Mozilla',
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version = project_version,
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package_dir = {'deepspeech': '.'},
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cmdclass = {'build': BuildExtFirst},
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license = 'MPL-2.0',
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url = 'https://github.com/mozilla/DeepSpeech',
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project_urls = {
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'Documentation': 'https://github.com/mozilla/DeepSpeech/tree/v{}#project-deepspeech'.format(project_version),
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'Tracker': 'https://github.com/mozilla/DeepSpeech/issues',
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'Repository': 'https://github.com/mozilla/DeepSpeech/tree/v{}'.format(project_version),
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'Discussions': 'https://discourse.mozilla.org/c/deep-speech',
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},
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ext_modules = [ds_ext],
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py_modules = ['deepspeech', 'deepspeech.client', 'deepspeech.impl'],
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entry_points={'console_scripts':['deepspeech = deepspeech.client:main']},
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install_requires = ['numpy%s' % numpy_min_ver],
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include_package_data = True,
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classifiers = [
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'Development Status :: 3 - Alpha',
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'Environment :: Console',
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'Intended Audience :: Developers',
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'Intended Audience :: Science/Research',
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'License :: OSI Approved :: Mozilla Public License 2.0 (MPL 2.0)',
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'Programming Language :: Python :: 2.7',
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'Programming Language :: Python :: 3.4',
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'Programming Language :: Python :: 3.5',
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'Programming Language :: Python :: 3.6',
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'Topic :: Multimedia :: Sound/Audio :: Speech',
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'Topic :: Scientific/Engineering :: Human Machine Interfaces',
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'Topic :: Scientific/Engineering',
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'Topic :: Utilities',
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])
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raise AssertionError('os.name == java not expected')
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ds_ext = Extension(name='deepspeech._impl',
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sources=['impl.i'],
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include_dirs=[numpy_include, '../'],
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library_dirs=list(map(lambda x: x.strip(), lib_dirs_split(os.getenv('MODEL_LDFLAGS', '')))),
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libraries=list(map(lambda x: x.strip(), libs_split(os.getenv('MODEL_LIBS', '')))),
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swig_opts=['-c++', '-keyword', '-builtin'])
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setup(name=project_name,
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description='A library for running inference on a DeepSpeech model',
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long_description=read('../../README.md'),
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long_description_content_type='text/markdown; charset=UTF-8',
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author='Mozilla',
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version=project_version,
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package_dir={'deepspeech': '.'},
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cmdclass={'build': BuildExtFirst},
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license='MPL-2.0',
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url='https://github.com/mozilla/DeepSpeech',
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project_urls={
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'Documentation': 'https://github.com/mozilla/DeepSpeech/tree/v{}#project-deepspeech'.format(project_version),
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'Tracker': 'https://github.com/mozilla/DeepSpeech/issues',
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'Repository': 'https://github.com/mozilla/DeepSpeech/tree/v{}'.format(project_version),
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'Discussions': 'https://discourse.mozilla.org/c/deep-speech',
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},
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ext_modules=[ds_ext],
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py_modules=['deepspeech', 'deepspeech.client', 'deepspeech.impl'],
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entry_points={'console_scripts':['deepspeech=deepspeech.client:main']},
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install_requires=['numpy%s' % numpy_min_ver],
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include_package_data=True,
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classifiers=[
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'Development Status :: 3 - Alpha',
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'Environment :: Console',
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'Intended Audience :: Developers',
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'Intended Audience :: Science/Research',
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'License :: OSI Approved :: Mozilla Public License 2.0 (MPL 2.0)',
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'Programming Language :: Python :: 2.7',
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'Programming Language :: Python :: 3.4',
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'Programming Language :: Python :: 3.5',
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'Programming Language :: Python :: 3.6',
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'Topic :: Multimedia :: Sound/Audio :: Speech',
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'Topic :: Scientific/Engineering :: Human Machine Interfaces',
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'Topic :: Scientific/Engineering',
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'Topic :: Utilities',
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])
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if __name__ == '__main__':
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main()
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