def __init__(self, language, logger=get_logger()):
self.logger = logger
self.logger.info('initializing backend %s-%s', self.name(),
self.version())
profile = self._load_g2p_profile(language)
self.tokenizer = segments.Tokenizer(profile=profile)
def __init__(self, language, logger=get_logger()):
super(self.__class__, self).__init__(language, logger=logger)
self.script = pkg_resources.resource_filename(
pkg_resources.Requirement.parse('phonemizer'),
'phonemizer/share/phonemize.scm')
self.logger.info('loaded {}'.format(self.script))
def __init__(self, language, use_sampa=False,
language_switch='keep-flags', with_stress=False,
logger=get_logger()):
super(self.__class__, self).__init__(language, logger=logger)
# adapt some command line option to the espeak version (for
# phoneme separation and IPA output)
version = self.version()
self.sep = '--sep=_'
if version == '1.48.03' or int(version.split('.')[1]) <= 47:
self.sep = '' # pragma: nocover
self.ipa = '--ipa=3'
if self.is_espeak_ng(): # this is espeak-ng
self.ipa = '-x --ipa'
self._with_stress = with_stress
if use_sampa is True:
if not self.is_espeak_ng():
raise RuntimeError( # pragma: nocover
'sampa alphabet is only supported by espeak-ng backend, '
'please install it instead of espeak')
self.ipa = '-x --pho'
# ensure the lang_switch argument is valid
valid_lang_switch = [
'keep-flags', 'remove-flags', 'remove-utterance']
if language_switch not in valid_lang_switch:
raise RuntimeError(
'lang_switch argument "{}" invalid, must be in {}'
.format(language_switch, ", ".join(valid_lang_switch)))
self._lang_switch = language_switch
self._lang_switch_list = []
def __init__(self,
language,
punctuation_marks=Punctuation.default_marks(),
preserve_punctuation=False,
language_switch='keep-flags',
with_stress=False,
logger=get_logger()):
super().__init__(language,
punctuation_marks=punctuation_marks,
preserve_punctuation=preserve_punctuation,
logger=logger)
self.logger.debug('espeak is %s', self.espeak_path())
# adapt some command line option to the espeak version (for
# phoneme separation and IPA output)
version = self.version()
self.sep = '--sep=_'
if version == '1.48.03' or version.split('.')[1] <= '47':
self.sep = '' # pragma: nocover
self.ipa = '--ipa=3'
if self.is_espeak_ng(): # this is espeak-ng
self.ipa = '-x --ipa'
# ensure the lang_switch argument is valid
valid_lang_switch = ['keep-flags', 'remove-flags', 'remove-utterance']
if language_switch not in valid_lang_switch:
raise RuntimeError(
'lang_switch argument "{}" invalid, must be in {}'.format(
language_switch, ", ".join(valid_lang_switch)))
self._lang_switch = language_switch
self._lang_switch_list = []
self._with_stress = with_stress
def get_logger(verbose, quiet):
"""Returns a configured logger"""
verbosity = 'normal'
if verbose:
verbosity = 'verbose'
elif quiet:
verbosity = 'quiet'
return logger.get_logger(verbosity=verbosity)
def __init__(self, language,
punctuation_marks=Punctuation.default_marks(),
preserve_punctuation=False,
logger=get_logger()):
super(self.__class__, self).__init__(
language, punctuation_marks=punctuation_marks,
preserve_punctuation=preserve_punctuation, logger=logger)
self.script = get_package_resource('festival/phonemize.scm')
self.logger.info('loaded {}'.format(self.script))
def main():
"""Phonemize a text from command-line arguments"""
args = parse_args()
if args.version:
print(version.version())
return
# configure logging according to --verbose/--quiet options
verbosity = 'normal'
if args.verbose:
verbosity = 'verbose'
elif args.quiet:
verbosity = 'quiet'
log = logger.get_logger(verbosity=verbosity)
# configure input as a readable stream
streamin = args.input
if isinstance(streamin, str):
streamin = codecs.open(streamin, 'r', encoding='utf8')
log.debug('reading from %s', streamin.name)
# configure output as a writable stream
streamout = args.output
if isinstance(streamout, str):
streamout = codecs.open(streamout, 'w', 'utf8')
log.debug('writing to %s', streamout.name)
# configure the separator for phonemes, syllables and words.
sep = separator.Separator(phone=args.phone_separator,
syllable=args.syllable_separator,
word=args.word_separator)
log.debug('separator is %s', sep)
# load the input text (python2 optionnally needs an extra decode)
text = streamin.read()
try:
text = text.decode('utf8')
except (AttributeError, UnicodeEncodeError):
pass
# phonemize the input text
out = phonemize.phonemize(text,
language=args.language,
backend=args.backend,
separator=sep,
strip=args.strip,
with_stress=args.with_stress,
use_sampa=args.sampa,
language_switch=args.language_switch,
njobs=args.njobs,
logger=log)
if len(out):
streamout.write(out + '\n')
def __init__(self,
language,
punctuation_marks=Punctuation.default_marks(),
preserve_punctuation=False,
logger=get_logger()):
# will be initialized in _init_language() from super().__init__()
self._tokenizer = None
super().__init__(language,
punctuation_marks=punctuation_marks,
preserve_punctuation=preserve_punctuation,
logger=logger)
def __init__(self,
language,
punctuation_marks=Punctuation.default_marks(),
preserve_punctuation=False,
logger=get_logger()):
self._espeak = EspeakWrapper()
logger.debug('loaded %s', self._espeak.library_path)
super().__init__(language,
punctuation_marks=punctuation_marks,
preserve_punctuation=preserve_punctuation,
logger=logger)
def __init__(self, language,
punctuation_marks=Punctuation.default_marks(),
preserve_punctuation=False,
logger=get_logger()):
self.logger = logger
self.logger.info(
'initializing backend %s-%s', self.name(), self.version())
# load the grapheme to phoneme mapping
profile = self._load_g2p_profile(language)
self.tokenizer = segments.Tokenizer(profile=profile)
# setup punctuation processing
self.preserve_punctuation = preserve_punctuation
self._punctuator = Punctuation(punctuation_marks)
def __init__(self, language, logger=get_logger()):
# ensure the backend is installed on the system
if not self.is_available():
raise RuntimeError( # pragma: nocover
'{} not installed on your system'.format(self.name()))
self.logger = logger
self.logger.info('initializing backend %s-%s', self.name(),
self.version())
# ensure the backend support the requested language
if not self.is_supported_language(language):
raise RuntimeError(
'language "{}" is not supported by the {} backend'.format(
language, self.name()))
self.language = language
def __init__(self,
language,
punctuation_marks=Punctuation.default_marks(),
preserve_punctuation=False,
logger=get_logger()):
super().__init__(language,
punctuation_marks=punctuation_marks,
preserve_punctuation=preserve_punctuation,
logger=logger)
self.logger.debug('festival executable is %s', self.executable())
# the Scheme script to be send to festival
script_file = get_package_resource('festival/phonemize.scm')
with open(script_file, 'r') as fscript:
self._script = fscript.read()
self.logger.debug('loaded %s', script_file)
def __init__(self,
language,
punctuation_marks=Punctuation.default_marks(),
preserve_punctuation=False,
with_stress=False,
tie=False,
language_switch='keep-flags',
words_mismatch='ignore',
logger=get_logger()):
super().__init__(language,
punctuation_marks=punctuation_marks,
preserve_punctuation=preserve_punctuation,
logger=logger)
self._espeak.set_voice(language)
self._with_stress = with_stress
self._tie = self._init_tie(tie)
self._lang_switch = get_language_switch_processor(
language_switch, self.logger, self.language)
def __init__(self,
language,
punctuation_marks=Punctuation.default_marks(),
preserve_punctuation=False,
logger=get_logger()):
# ensure the backend is installed on the system
if not self.is_available():
raise RuntimeError( # pragma: nocover
'{} not installed on your system'.format(self.name()))
self._logger = logger
self._logger.info('initializing backend %s-%s', self.name(),
'.'.join(str(v) for v in self.version()))
# ensure the backend support the requested language
self._language = self._init_language(language)
# setup punctuation processing
self._preserve_punctuation = preserve_punctuation
self._punctuator = Punctuation(punctuation_marks)
def __init__(self, language, logger=get_logger()):
super().__init__(language, logger=logger)
self._espeak.set_voice(language)
def __init__(self, language, logger=get_logger()):
super().__init__(language, logger=logger)
self.logger.debug('espeak is %s', self.espeak_path())
def phonemize(text,
language='en-us',
backend='festival',
separator=default_separator,
strip=False,
with_stress=False,
use_sampa=False,
language_switch='keep-flags',
njobs=1,
logger=get_logger()):
"""Multilingual text to phonemes converter
Return a phonemized version of an input `text`, given its
`language` and a phonemization `backend`.
Parameters
----------
text (str or list of str): The text to be phonemized. Any empty
line will be ignored. If `text` is an str, it can be multiline
(lines being separated by \n). If `text` is a list, each
element is considered as a separated line. Each line is
considered as a text utterance.
language (str): The language code of the input text, must be
supported by the backend. If `backend` is 'segments', the
language can be a file with a grapheme to phoneme mapping.
backend (str): The software backend to use for phonemization, must
be 'festival' (US English only is supported, coded 'en-us'),
'espeak' or 'segments'.
separator (Separator): string separators between phonemes,
syllables and words, default to separator.default_separator.
strip (bool): If True, don't output the last word and phone
separators of a token, default to False.
with_stress (bool): This option is only valid for the espeak/espeak-ng
backend. When True the stresses on phonemes are present (stresses
characters are ˈ'ˌ). When False stresses are removed. Default to False.
use_sampa (bool): Use the 'sampa' phonetic alphabet (Speech Assessment
Methods Phonetic Alphabet) instead of 'ipa' (International Phonetic
Alphabet). This option is only valid for the 'espeak-ng' backend. Default
to False.
language_switch (str) : espeak can pronounce some words in another language
(typically English) when phonemizing a text. This option setups the
policy to use when such a language switch occurs. Three values are
available: 'keep-flags' (the default), 'remove-flags' or
'remove-utterance'. The 'keep-flags' policy keeps the language switching
flags, for example (en) or (jp), in the output. The 'remove-flags' policy
removes them and the 'remove-utterance' policy removes the whole line of
text including a language switch.
njobs (int): The number of parallel jobs to launch. The input text
is split in `njobs` parts, phonemized on parallel instances of
the backend and the outputs are finally collapsed.
logger (logging.Logger): the logging instance where to send
messages. If not specified, use the default system logger.
Returns
-------
phonemized text (str or list of str) : The input `text` phonemized
for the given `language` and `backend`. The returned value has
the same type of the input text (either a list or a string).
Raises
------
RuntimeError
If the `backend` is not valid or is valid but not installed, if the
`language` is not supported by the `backend`, if `use_sampa`,
`with_stress` or `language_switch` are used but the backend is not
'espeak-ng'.
"""
# ensure the backend is either espeak, festival or segments
if backend not in ('espeak', 'festival', 'segments'):
raise RuntimeError(
'{} is not a supported backend, choose in {}.'.format(
backend, ', '.join(('espeak', 'festival', 'segments'))))
# ensure the phonetic alphabet is valid
if use_sampa is True:
if backend == 'espeak' and not EspeakBackend.is_espeak_ng():
raise RuntimeError( # pragma: nocover
'sampa alphabet is not supported by espeak, '
'please install espeak-ng')
if backend != 'espeak':
raise RuntimeError(
'sampa alphabet is only supported by espeak backend')
# with_stress option only valid for espeak
if with_stress and backend != 'espeak':
raise RuntimeError(
'the "with_stress" option is available for espeak backend only, '
'but you are using {} backend'.format(backend))
# language_switch option only valid for espeak
if language_switch != 'keep-flags' and backend != 'espeak':
raise RuntimeError(
'the "language_switch" option is available for espeak backend '
'only, but you are using {} backend'.format(backend))
# instanciate the requested backend for the given language (raises
# a RuntimeError if the language is not supported).
backends = {
b.name(): b
for b in (EspeakBackend, FestivalBackend, SegmentsBackend)
}
if backend == 'espeak':
phonemizer = backends[backend](language,
with_stress=with_stress,
use_sampa=use_sampa,
language_switch=language_switch,
logger=logger)
else:
phonemizer = backends[backend](language, logger=logger)
# phonemize the input text with the backend
return phonemizer.phonemize(text,
separator=separator,
strip=strip,
njobs=njobs)
def phonemize( # pylint: disable=too-many-arguments
text,
language='en-us',
backend='espeak',
separator=default_separator,
strip=False,
prepend_text=False,
preserve_punctuation=False,
punctuation_marks=Punctuation.default_marks(),
with_stress=False,
tie=False,
language_switch='keep-flags',
words_mismatch='ignore',
njobs=1,
logger=get_logger()):
"""Multilingual text to phonemes converter
Return a phonemized version of an input `text`, given its `language` and a
phonemization `backend`.
Note
----
To improve the processing speed it is better to minimize the calls to this
function: provide the input text as a list and call phonemize() a single
time is much more efficient than calling it on each element of the list.
Indeed the initialization of the phonemization backend can be expensive,
especially for espeak. In one exemple,
Do this:
>>> text = [line1, line2, ...]
>>> phonemize(text, ...)
Not this:
>>> for line in text:
>>> phonemize(line, ...)
Parameters
----------
text (str or list of str): The text to be phonemized. Any empty line will
be ignored. If `text` is an str, it can be multiline (lines being
separated by \n). If `text` is a list, each element is considered as a
separated line. Each line is considered as a text utterance.
language (str): The language code of the input text, must be supported by
the backend. If `backend` is 'segments', the language can be a file with
a grapheme to phoneme mapping.
backend (str, optional): The software backend to use for phonemization,
must be 'festival' (US English only is supported, coded 'en-us'),
'espeak', 'espeak-mbrola' or 'segments'.
separator (Separator): string separators between phonemes, syllables and
words, default to separator.default_separator. Syllable separator is
considered only for the festival backend. Word separator is ignored by
the 'espeak-mbrola' backend. Initialize it as follows:
>>> from phonemizer.separator import Separator
>>> separator = Separator(phone='-', word=' ')
strip (bool, optional): If True, don't output the last word and phone
separators of a token, default to False.
prepend_text (bool, optional): When True, returns a pair (input utterance,
phonemized utterance) for each line of the input text. When False,
returns only the phonemized utterances. Default to False
preserve_punctuation (bool, optional): When True, will keep the punctuation
in the phonemized output. Not supported by the 'espeak-mbrola' backend.
Default to False and remove all the punctuation.
punctuation_marks (str, optional): The punctuation marks to consider when
dealing with punctuation, either for removal or preservation. Default to
Punctuation.default_marks().
with_stress (bool, optional): This option is only valid for the 'espeak'
backend. When True the stresses on phonemes are present (stresses
characters are ˈ'ˌ). When False stresses are removed. Default to False.
tie (bool or char, optional): This option is only valid for the 'espeak'
backend with espeak>=1.49. It is incompatible with phone separator. When
not False, use a tie character within multi-letter phoneme names. When
True, the char 'U+361' is used (as in d͡ʒ), 'z' means ZWJ character,
default to False.
language_switch (str, optional): Espeak can output some words in another
language (typically English) when phonemizing a text. This option setups
the policy to use when such a language switch occurs. Three values are
available: 'keep-flags' (the default), 'remove-flags' or
'remove-utterance'. The 'keep-flags' policy keeps the language switching
flags, for example "(en) or (jp)", in the output. The 'remove-flags'
policy removes them and the 'remove-utterance' policy removes the whole
line of text including a language switch. This option is only valid for
the 'espeak' backend.
words_mismatch (str, optional): Espeak can join two consecutive words or
drop some words, yielding a word count mismatch between orthographic and
phonemized text. This option setups the policy to use when such a words
count mismatch occurs. Three values are available: 'ignore' (the default)
which do nothing, 'warn' which issue a warning for each mismatched line,
and 'remove' which remove the mismatched lines from the output.
njobs (int): The number of parallel jobs to launch. The input text is split
in `njobs` parts, phonemized on parallel instances of the backend and the
outputs are finally collapsed.
logger (logging.Logger): the logging instance where to send messages. If
not specified, use the default system logger.
Returns
-------
phonemized text (str or list of str) : The input `text` phonemized for the
given `language` and `backend`. The returned value has the same type of
the input text (either a list or a string), excepted if `prepend_input`
is True where the output is forced as a list of pairs (input_text,
phonemized text).
Raises
------
RuntimeError if the `backend` is not valid or is valid but not installed,
if the `language` is not supported by the `backend`, if any incompatible
options are used.
"""
# ensure we are using a compatible Python version
if sys.version_info < (3, 6): # pragma: nocover
logger.error(
'Your are using python-%s which is unsupported by the phonemizer, '
'please update to python>=3.6', ".".join(sys.version_info))
# ensure the arguments are valid
_check_arguments(backend, with_stress, tie, separator, language_switch,
words_mismatch)
# preserve_punctuation and word separator not valid for espeak-mbrola
if backend == 'espeak-mbrola' and preserve_punctuation:
logger.warning('espeak-mbrola backend cannot preserve punctuation')
if backend == 'espeak-mbrola' and separator.word:
logger.warning('espeak-mbrola backend cannot preserve word separation')
# initialize the phonemization backend
if backend == 'espeak':
phonemizer = BACKENDS[backend](
language,
punctuation_marks=punctuation_marks,
preserve_punctuation=preserve_punctuation,
with_stress=with_stress,
tie=tie,
language_switch=language_switch,
words_mismatch=words_mismatch,
logger=logger)
elif backend == 'espeak-mbrola':
phonemizer = BACKENDS[backend](language, logger=logger)
else: # festival or segments
phonemizer = BACKENDS[backend](
language,
punctuation_marks=punctuation_marks,
preserve_punctuation=preserve_punctuation,
logger=logger)
# do the phonemization
return _phonemize(phonemizer, text, separator, strip, njobs, prepend_text)
def phonemize(
text,
language='en-us',
backend='festival',
separator=default_separator,
strip=False,
preserve_punctuation=False,
punctuation_marks=Punctuation.default_marks(),
with_stress=False,
language_switch='keep-flags',
njobs=1,
logger=get_logger()):
"""Multilingual text to phonemes converter
Return a phonemized version of an input `text`, given its
`language` and a phonemization `backend`.
Parameters
----------
text (str or list of str): The text to be phonemized. Any empty
line will be ignored. If `text` is an str, it can be multiline
(lines being separated by \n). If `text` is a list, each
element is considered as a separated line. Each line is
considered as a text utterance.
language (str): The language code of the input text, must be
supported by the backend. If `backend` is 'segments', the
language can be a file with a grapheme to phoneme mapping.
backend (str): The software backend to use for phonemization, must
be 'festival' (US English only is supported, coded 'en-us'),
'espeak', 'espeak-mbrola' or 'segments'.
separator (Separator): string separators between phonemes, syllables and
words, default to separator.default_separator. Syllable separator is
considered only for the festival backend. Word separator is ignored by
the 'espeak-mbrola' backend.
strip (bool): If True, don't output the last word and phone
separators of a token, default to False.
preserve_punctuation (bool): When True, will keep the punctuation in the
phonemized output. Not supportyed by the 'espeak-mbrola' backend.
Default to False and remove all the punctuation.
punctuation_marks (str): The punctuation marks to consider when dealing
with punctuation. Default to Punctuation.default_marks().
with_stress (bool): This option is only valid for the 'espeak' backend.
When True the stresses on phonemes are present (stresses characters are
ˈ'ˌ). When False stresses are removed. Default to False.
language_switch (str): Espeak can output some words in another language
(typically English) when phonemizing a text. This option setups the
policy to use when such a language switch occurs. Three values are
available: 'keep-flags' (the default), 'remove-flags' or
'remove-utterance'. The 'keep-flags' policy keeps the language switching
flags, for example (en) or (jp), in the output. The 'remove-flags' policy
removes them and the 'remove-utterance' policy removes the whole line of
text including a language switch. This option is only valid for the
'espeak' backend.
njobs (int): The number of parallel jobs to launch. The input text
is split in `njobs` parts, phonemized on parallel instances of
the backend and the outputs are finally collapsed.
logger (logging.Logger): the logging instance where to send
messages. If not specified, use the default system logger.
Returns
-------
phonemized text (str or list of str) : The input `text` phonemized
for the given `language` and `backend`. The returned value has
the same type of the input text (either a list or a string).
Raises
------
RuntimeError if the `backend` is not valid or is valid but not installed,
if the `language` is not supported by the `backend`, if with_stress` or
`language_switch` are used but the backend is not 'espeak'.
"""
# ensure the backend is either espeak, festival or segments
if backend not in ('espeak', 'espeak-mbrola', 'festival', 'segments'):
raise RuntimeError(
'{} is not a supported backend, choose in {}.'
.format(backend, ', '.join(
('espeak', 'espeak-mbrola', 'festival', 'segments'))))
# with_stress option only valid for espeak
if with_stress and backend != 'espeak':
raise RuntimeError(
'the "with_stress" option is available for espeak backend only, '
'but you are using {} backend'.format(backend))
# language_switch option only valid for espeak
if (
language_switch != 'keep-flags'
and backend not in ('espeak', 'espeak-mbrola')
):
raise RuntimeError(
'the "language_switch" option is available for espeak backend '
'only, but you are using {} backend'.format(backend))
# preserve_punctuation and word separator not valid for espeak-mbrola
if backend == 'espeak-mbrola' and preserve_punctuation:
logger.warning('espeak-mbrola backend cannot preserve punctuation')
if backend == 'espeak-mbrola' and separator.word:
logger.warning('espeak-mbrola backend cannot preserve word separation')
# python2 needs additional utf8 encoding
if sys.version_info[0] == 2: # pragma: nocover
logger.warning(
'Your are using python2 but unsupported by the phonemizer, '
'please update to python>=3.6')
# instanciate the requested backend for the given language (raises
# a RuntimeError if the language is not supported).
backends = {b.name(): b for b in (
EspeakBackend, FestivalBackend, SegmentsBackend, EspeakMbrolaBackend)}
if backend == 'espeak':
phonemizer = backends[backend](
language,
punctuation_marks=punctuation_marks,
preserve_punctuation=preserve_punctuation,
with_stress=with_stress,
language_switch=language_switch,
logger=logger)
elif backend == 'espeak-mbrola':
phonemizer = backends[backend](
language,
logger=logger)
else: # festival or segments
phonemizer = backends[backend](
language,
punctuation_marks=punctuation_marks,
preserve_punctuation=preserve_punctuation,
logger=logger)
# phonemize the input text
return phonemizer.phonemize(
text, separator=separator, strip=strip, njobs=njobs)
def main():
"""Phonemize a text from command-line arguments"""
args = parse_args()
# setup a custom path to espeak and festival if required (this must be done
# before generating the version message)
if args.espeak_path:
EspeakBackend.set_espeak_path(args.espeak_path)
if args.festival_path:
FestivalBackend.set_festival_path(args.festival_path)
# display version information and exit
if args.version:
print(version.version())
return
# list supported languages and exit
if args.list_languages:
backends = (['festival', 'segments', 'espeak', 'espeak-mbrola']
if not args.backend else [args.backend])
for backend in backends:
print(f'supported languages for {backend} are:\n' +
'\n'.join(f'\t{k}\t->\t{v}' for k, v in sorted(
BACKENDS_MAP[backend].supported_languages().items())))
return
# set default backend as espeak if not specified
args.backend = args.backend or 'espeak'
# configure logging according to --verbose/--quiet options
verbosity = 'normal'
if args.verbose:
verbosity = 'verbose'
elif args.quiet:
verbosity = 'quiet'
log = logger.get_logger(verbosity=verbosity)
# configure input as a readable stream
streamin = args.input
if isinstance(streamin, str):
streamin = codecs.open(streamin, 'r', encoding='utf8')
log.debug('reading from %s', streamin.name)
# configure output as a writable stream
streamout = args.output
if isinstance(streamout, str):
streamout = codecs.open(streamout, 'w', 'utf8')
log.debug('writing to %s', streamout.name)
# configure the separator for phonemes, syllables and words.
if args.backend == 'espeak-mbrola':
log.debug('using espeak-mbrola backend: ignoring word separator')
sep = separator.Separator(phone=args.phone_separator,
syllable=None,
word=None)
else:
sep = separator.Separator(phone=args.phone_separator,
syllable=args.syllable_separator,
word=args.word_separator)
log.debug('separator is %s', sep)
text = [line.strip() for line in streamin]
# phonemize the input text
out = phonemize(text,
language=args.language,
backend=args.backend,
separator=sep,
strip=args.strip,
preserve_punctuation=args.preserve_punctuation,
punctuation_marks=args.punctuation_marks,
with_stress=args.with_stress,
language_switch=args.language_switch,
njobs=args.njobs,
logger=log)
if out:
streamout.write('\n'.join(out) + '\n')
def test_logger():
with pytest.raises(RuntimeError):
logger.get_logger(verbosity=1)
