




"""simple docstring"""


import importlib
import inspect
import json
import os
import re
import shutil
import sys
from pathlib import Path
from typing import Dict, Optional, Union
from urllib import request

from huggingface_hub import HfFolder, cached_download, hf_hub_download, model_info
from packaging import version

from .. import __version__
from . import DIFFUSERS_DYNAMIC_MODULE_NAME, HF_MODULES_CACHE, logging


A_      =    (
    '''https://raw.githubusercontent.com/huggingface/diffusers/{revision}/examples/community/{pipeline}.py'''
)


A_      =    logging.get_logger(__name__)  # pylint: disable=invalid-name


def  UpperCAmelCase__	():
  """simple docstring"""

  _snake_case							:		Tuple								=  """https://pypi.org/pypi/diffusers/json"""
  _snake_case							:		Optional[int]								=  json.loads(request.urlopen(snake_case__   ).read()   )["""releases"""].keys()
  return sorted(snake_case__		,       key=lambda snake_case__   : version.Version(snake_case__   )   )


def  UpperCAmelCase__	():
  """simple docstring"""

  if HF_MODULES_CACHE in sys.path:
    return

  sys.path.append(snake_case__   )
  os.makedirs(snake_case__		,       exist_ok=snake_case__   )
  _snake_case							:		str								=  Path(snake_case__   ) / """__init__.py"""
  if not init_path.exists():
    init_path.touch()


def  UpperCAmelCase__	(snake_case__							: Union[str, os.PathLike]   ):
  """simple docstring"""

  init_hf_modules()
  _snake_case							:		List[Any]								=  Path(snake_case__   ) / name
  # If the parent module does not exist yet, recursively create it.
  if not dynamic_module_path.parent.exists():
    create_dynamic_module(dynamic_module_path.parent   )
  os.makedirs(snake_case__		,       exist_ok=snake_case__   )
  _snake_case							:		List[Any]								=  dynamic_module_path / """__init__.py"""
  if not init_path.exists():
    init_path.touch()


def  UpperCAmelCase__	(snake_case__							: Optional[Any]   ):
  """simple docstring"""

  with open(snake_case__		,       """r"""		,       encoding="""utf-8"""   ) as f:
    _snake_case							:		Union[str, Any]								=  f.read()

  # Imports of the form `import .xxx`
  _snake_case							:		Tuple								=  re.findall("""^\s*import\s+\.(\S+)\s*$"""		,       snake_case__		,       flags=re.MULTILINE   )
  # Imports of the form `from .xxx import yyy`
  relative_imports += re.findall("""^\s*from\s+\.(\S+)\s+import"""		,       snake_case__		,       flags=re.MULTILINE   )
  # Unique-ify
  return list(set(snake_case__   )   )


def  UpperCAmelCase__	(snake_case__							: Tuple   ):
  """simple docstring"""

  _snake_case							:		Tuple								=  False
  _snake_case							:		Any								=  [module_file]
  _snake_case							:		str								=  []

  # Let's recurse through all relative imports
  while not no_change:
    _snake_case							:		Dict								=  []
    for f in files_to_check:
      new_imports.extend(get_relative_imports(snake_case__   )   )

    _snake_case							:		Dict								=  Path(snake_case__   ).parent
    _snake_case							:		Dict								=  [str(module_path / m   ) for m in new_imports]
    _snake_case							:		Tuple								=  [f for f in new_import_files if f not in all_relative_imports]
    _snake_case							:		str								=  [F"{f}.py" for f in new_import_files]

    _snake_case							:		Dict								=  len(snake_case__   ) == 0
    all_relative_imports.extend(snake_case__   )

  return all_relative_imports


def  UpperCAmelCase__	(snake_case__							: Tuple   ):
  """simple docstring"""

  with open(snake_case__		,       """r"""		,       encoding="""utf-8"""   ) as f:
    _snake_case							:		int								=  f.read()

  # Imports of the form `import xxx`
  _snake_case							:		Tuple								=  re.findall("""^\s*import\s+(\S+)\s*$"""		,       snake_case__		,       flags=re.MULTILINE   )
  # Imports of the form `from xxx import yyy`
  imports += re.findall("""^\s*from\s+(\S+)\s+import"""		,       snake_case__		,       flags=re.MULTILINE   )
  # Only keep the top-level module
  _snake_case							:		Tuple								=  [imp.split("""."""   )[0] for imp in imports if not imp.startswith("""."""   )]

  # Unique-ify and test we got them all
  _snake_case							:		Any								=  list(set(snake_case__   )   )
  _snake_case							:		int								=  []
  for imp in imports:
    try:
      importlib.import_module(snake_case__   )
    except ImportError:
      missing_packages.append(snake_case__   )

  if len(snake_case__   ) > 0:
    raise ImportError(
        """This modeling file requires the following packages that were not found in your environment: """
        F"{', '.join(snake_case__   )}. Run `pip install {' '.join(snake_case__   )}`"   )

  return get_relative_imports(snake_case__   )


def  UpperCAmelCase__	(snake_case__							: int		,       snake_case__							: Tuple   ):
  """simple docstring"""

  _snake_case							:		List[Any]								=  module_path.replace(os.path.sep		,       """."""   )
  _snake_case							:		int								=  importlib.import_module(snake_case__   )

  if class_name is None:
    return find_pipeline_class(snake_case__   )
  return getattr(snake_case__		,       snake_case__   )


def  UpperCAmelCase__	(snake_case__							: List[Any]   ):
  """simple docstring"""

  from ..pipelines import DiffusionPipeline

  _snake_case							:		Tuple								=  dict(inspect.getmembers(snake_case__		,       inspect.isclass   )   )

  _snake_case							:		Dict								=  None
  for cls_name, cls in cls_members.items():
    if (
        cls_name != DiffusionPipeline.__name__
        and issubclass(cls		,       snake_case__   )
        and cls.__module__.split("""."""   )[0] != "diffusers"
    ):
      if pipeline_class is not None:
        raise ValueError(
            F"Multiple classes that inherit from {DiffusionPipeline.__name__} have been found:"
            F" {pipeline_class.__name__}, and {cls_name}. Please make sure to define only one in"
            F" {loaded_module}."   )
      _snake_case							:		List[str]								=  cls

  return pipeline_class


def  UpperCAmelCase__	(snake_case__							: Union[str, os.PathLike]		,       snake_case__							: str		,       snake_case__							: Optional[Union[str, os.PathLike]] = None		,       snake_case__							: bool = False		,       snake_case__							: bool = False		,       snake_case__							: Optional[Dict[str, str]] = None		,       snake_case__							: Optional[Union[bool, str]] = None		,       snake_case__							: Optional[str] = None		,       snake_case__							: bool = False		,       ):
  """simple docstring"""

  _snake_case							:		List[str]								=  str(snake_case__   )

  _snake_case							:		Optional[Any]								=  os.path.join(snake_case__		,       snake_case__   )

  if os.path.isfile(snake_case__   ):
    _snake_case							:		List[str]								=  module_file_or_url
    _snake_case							:		Optional[Any]								=  """local"""
  elif pretrained_model_name_or_path.count("""/"""   ) == 0:
    _snake_case							:		Tuple								=  get_diffusers_versions()
    # cut ".dev0"
    _snake_case							:		Union[str, Any]								=  """v""" + """.""".join(__version__.split("""."""   )[:3]   )

    # retrieve github version that matches
    if revision is None:
      _snake_case							:		int								=  latest_version if latest_version[1:] in available_versions else """main"""
      logger.info(F"Defaulting to latest_version: {revision}."   )
    elif revision in available_versions:
      _snake_case							:		Optional[Any]								=  F"v{revision}"
    elif revision == "main":
      _snake_case							:		int								=  revision
    else:
      raise ValueError(
          F"`custom_revision`: {revision} does not exist. Please make sure to choose one of"
          F" {', '.join(available_versions + ['main']   )}."   )

    # community pipeline on GitHub
    _snake_case							:		List[str]								=  COMMUNITY_PIPELINES_URL.format(revision=snake_case__		,       pipeline=snake_case__   )
    try:
      _snake_case							:		Dict								=  cached_download(
          snake_case__		,       cache_dir=snake_case__		,       force_download=snake_case__		,       proxies=snake_case__		,       resume_download=snake_case__		,       local_files_only=snake_case__		,       use_auth_token=snake_case__		,       )
      _snake_case							:		Union[str, Any]								=  """git"""
      _snake_case							:		str								=  pretrained_model_name_or_path + """.py"""
    except EnvironmentError:
      logger.error(F"Could not locate the {module_file} inside {pretrained_model_name_or_path}."   )
      raise
  else:
    try:
      # Load from URL or cache if already cached
      _snake_case							:		str								=  hf_hub_download(
          snake_case__		,       snake_case__		,       cache_dir=snake_case__		,       force_download=snake_case__		,       proxies=snake_case__		,       resume_download=snake_case__		,       local_files_only=snake_case__		,       use_auth_token=snake_case__		,       )
      _snake_case							:		Optional[Any]								=  os.path.join("""local"""		,       """--""".join(pretrained_model_name_or_path.split("""/"""   )   )   )
    except EnvironmentError:
      logger.error(F"Could not locate the {module_file} inside {pretrained_model_name_or_path}."   )
      raise

    # Check we have all the requirements in our environment
  _snake_case							:		int								=  check_imports(snake_case__   )

  # Now we move the module inside our cached dynamic modules.
  _snake_case							:		Optional[int]								=  DIFFUSERS_DYNAMIC_MODULE_NAME + os.path.sep + submodule
  create_dynamic_module(snake_case__   )
  _snake_case							:		Any								=  Path(snake_case__   ) / full_submodule
  if submodule == "local" or submodule == "git":
    # We always copy local files (we could hash the file to see if there was a change, and give them the name of
    # that hash, to only copy when there is a modification but it seems overkill for now).
    # The only reason we do the copy is to avoid putting too many folders in sys.path.
    shutil.copy(snake_case__		,       submodule_path / module_file   )
    for module_needed in modules_needed:
      _snake_case							:		Any								=  F"{module_needed}.py"
      shutil.copy(os.path.join(snake_case__		,       snake_case__   )		,       submodule_path / module_needed   )
  else:
    # Get the commit hash
    # TODO: we will get this info in the etag soon, so retrieve it from there and not here.
    if isinstance(snake_case__		,       snake_case__   ):
      _snake_case							:		Any								=  use_auth_token
    elif use_auth_token is True:
      _snake_case							:		int								=  HfFolder.get_token()
    else:
      _snake_case							:		Optional[int]								=  None

    _snake_case							:		int								=  model_info(snake_case__		,       revision=snake_case__		,       token=snake_case__   ).sha

    # The module file will end up being placed in a subfolder with the git hash of the repo. This way we get the
    # benefit of versioning.
    _snake_case							:		int								=  submodule_path / commit_hash
    _snake_case							:		Optional[int]								=  full_submodule + os.path.sep + commit_hash
    create_dynamic_module(snake_case__   )

    if not (submodule_path / module_file).exists():
      shutil.copy(snake_case__		,       submodule_path / module_file   )
    # Make sure we also have every file with relative
    for module_needed in modules_needed:
      if not (submodule_path / module_needed).exists():
        get_cached_module_file(
            snake_case__		,       F"{module_needed}.py"		,       cache_dir=snake_case__		,       force_download=snake_case__		,       resume_download=snake_case__		,       proxies=snake_case__		,       use_auth_token=snake_case__		,       revision=snake_case__		,       local_files_only=snake_case__		,       )
  return os.path.join(snake_case__		,       snake_case__   )






def  UpperCAmelCase__	(snake_case__							: Union[str, os.PathLike]		,       snake_case__							: str		,       snake_case__							: Optional[str] = None		,       snake_case__							: Optional[Union[str, os.PathLike]] = None		,       snake_case__							: bool = False		,       snake_case__							: bool = False		,       snake_case__							: Optional[Dict[str, str]] = None		,       snake_case__							: Optional[Union[bool, str]] = None		,       snake_case__							: Optional[str] = None		,       snake_case__							: bool = False		,       **snake_case__							: Tuple		,       ):
  """simple docstring"""

  _snake_case							:		Union[str, Any]								=  get_cached_module_file(
      snake_case__		,       snake_case__		,       cache_dir=snake_case__		,       force_download=snake_case__		,       resume_download=snake_case__		,       proxies=snake_case__		,       use_auth_token=snake_case__		,       revision=snake_case__		,       local_files_only=snake_case__		,       )
  return get_class_in_module(snake_case__		,       final_module.replace(""".py"""		,       """"""   )   )








"""simple docstring"""


import json
import os
import unittest
from typing import Tuple

from transformers import WavaVecaPhonemeCTCTokenizer
from transformers.models.wavaveca.tokenization_wavaveca import VOCAB_FILES_NAMES
from transformers.models.wavaveca_phoneme.tokenization_wavaveca_phoneme import WavaVecaPhonemeCTCTokenizerOutput
from transformers.testing_utils import require_phonemizer

from ...test_tokenization_common import TokenizerTesterMixin






@require_phonemizer
class  lowercase(					__a	,      unittest.TestCase			):







 '''simple docstring'''





 lowercase__			 = WavaVecaPhonemeCTCTokenizer
 lowercase__			 = False


 def 			UpperCamelCase_       (    self:		Optional[Any]		):




   '''simple docstring'''



   super().setUp()

   _snake_case							:		List[Any]								=  (
       """<s> <pad> </s> <unk> n s t ə l a i k d m ɛ ɾ e ɪ p o ɐ z ð f j v b ɹ ʁ ʊ iː r w ʌ u ɡ æ aɪ ʃ h ɔ ɑː """
       """ŋ ɚ eɪ β uː y ɑ̃ oʊ ᵻ eː θ aʊ ts oː ɔ̃ ɣ ɜ ɑ dʒ əl x ɜː ç ʒ tʃ ɔː ɑːɹ ɛ̃ ʎ ɔːɹ ʋ aː ɕ œ ø oːɹ ɲ yː """
       """ʔ iə i5 s. tɕ ?? nʲ ɛː œ̃ ɭ ɔø ʑ tʲ ɨ ɛɹ ts. rʲ ɪɹ ɭʲ i.5 ɔɪ q sʲ u5 ʊɹ iɜ a5 iɛ5 øː ʕ ja əɜ th ɑ5 """
       """oɪ dʲ ə5 tɕh ts.h mʲ ɯ dʑ vʲ e̞ tʃʲ ei5 o5 onɡ5 ɑu5 iɑ5 ai5 aɪɚ kh ə1 ʐ i2 ʉ ħ t[ aɪə ʲ ju ə2 u2 oɜ """
       """pː iɛɜ ou5 y5 uɜ tː uo5 d[ uoɜ tsh ɑɜ ɵ i̪5 uei5 ɟ aɜ ɑɨ i.ɜ eʊ o2 ɐ̃ ä pʲ kʲ n̩ ɒ ph ɑu2 uɨ əɪ ɫ ɬ """
       """yɜ bʲ ɑ2 s̪ aiɜ χ ɐ̃ʊ̃ 1 ə4 yæɜ a2 ɨː t̪ iouɜ ũ onɡɜ aɨ iɛ2 ɔɨ ɑuɜ o̞ ei2 iou2 c kː y2 ɖ oe dˤ yɛɜ """
       """əʊ S ɡʲ onɡ2 u\" eiɜ ʈ ɯᵝ iou5 dZ r̝̊ i.2 tS s^ ʝ yə5 iɑɜ uə5 pf ɨu iɑ2 ou2 ər2 fʲ ai2 r̝ uəɜ ɳ əɨ """
       """ua5 uɪ ɽ bː yu5 uo2 yɛ5 l̩ ɻ ərɜ ʂ i̪2 ouɜ uaɜ a. a.ː yæ5 dː r̩ ee ɪu ər5 i̪ ɜ æi u: i.ː t^ o1 ɪ^ """
       """ai ueiɜ æː ɛɪ eə i. ɴ ie ua2 ɑ1 o4 tʃː o: ɑ: u1 N i̪1 au yæ2 u. qː yəɜ y: kʰ tʃʰ iʊ sx õ uo tʰ """
       """uai5 bʰ u.ː uə2 ʊə d^ s̪ː yiɜ dʰ r. oe: i1 ɟː yu2 nʲʲ i̪4 uei2 tsʲ ɸ ĩ ɑ4 t̪ː eɑ u4 e: tsː ʈʰ ɡʰ """
       """ɯɯ dʒʲ ʂʲ X ɵː uaiɜ tɕʲ ã t^ː ẽː yɛ2 cː i.1 ɛʊ dˤdˤ dʒː i4 ɡː yi ɕʲ ɟʰ pʰ dʑʲ yuɜ ua1 ua4 æiː ɐɐ """
       """ui iou1 ʊː a1 iou4 cʰ iɛ1 yə2 ɖʰ ẽ ʒʲ ää ər4 iːː ɪː iɑ1 ər1 œː øi ɪuː cʰcʰ əː1 iː1 ũ kʰː o̞o̞ xʲ """
       """ou1 iɛ4 e̞e̞ y1 dzː dʲʲ dʰː ɯᵝɯᵝ lː uo1 i.4 i: yɛ5ʲ a4"""
   ).split(""" """		)
   _snake_case							:		List[str]								=  dict(zip(a_,				range(len(a_		)		)		)		)

   _snake_case							:		Union[str, Any]								=  {"""pad_token""": """<pad>""", """unk_token""": """<unk>""", """bos_token""": """<s>""", """eos_token""": """</s>"""}

   _snake_case							:		Optional[Any]								=  os.path.join(self.tmpdirname,				VOCAB_FILES_NAMES["""vocab_file"""]		)
   with open(self.vocab_file,				"""w""",				encoding="""utf-8"""		) as fp:
     fp.write(json.dumps(a_		) + """\n"""		)


 def 			UpperCamelCase_       (    self:		Tuple,				a_:		str,				a_:		List[str]=False,				a_:		str=20,				a_:		Optional[int]=5		):




   '''simple docstring'''



   _snake_case							:		Union[str, Any]								=  [(i, tokenizer.decode([i],				clean_up_tokenization_spaces=a_		)) for i in range(len(a_		)		)]
   _snake_case							:		List[Any]								=  list(filter(lambda a_		: [t[0]] == tokenizer.encode(t[1],				do_phonemize=a_		),				a_		)		)
   if max_length is not None and len(a_		) > max_length:
     _snake_case							:		Dict								=  toks[:max_length]
   if min_length is not None and len(a_		) < min_length and len(a_		) > 0:
     while len(a_		) < min_length:
       _snake_case							:		List[Any]								=  toks + toks
        # toks_str = [t[1] for t in toks]
   _snake_case							:		str								=  [t[0] for t in toks]

   # Ensure consistency
   _snake_case							:		Optional[Any]								=  tokenizer.decode(a_,				clean_up_tokenization_spaces=a_		)
   if " " not in output_txt and len(a_		) > 1:
     _snake_case							:		Optional[Any]								=  (
         tokenizer.decode([toks_ids[0]],				clean_up_tokenization_spaces=a_		)
         + """ """
         + tokenizer.decode(toks_ids[1:],				clean_up_tokenization_spaces=a_		)
     )
   if with_prefix_space:
     _snake_case							:		str								=  """ """ + output_txt
   _snake_case							:		Tuple								=  tokenizer.encode(a_,				add_special_tokens=a_		)
   return output_txt, output_ids


 def 			UpperCamelCase_       (    self:		int,				**a_:		List[str]		):




   '''simple docstring'''



   kwargs.update(self.special_tokens_map		)
   return WavaVecaPhonemeCTCTokenizer.from_pretrained(self.tmpdirname,				**a_		)


 def 			UpperCamelCase_       (    self:		List[Any]		):




   '''simple docstring'''



   _snake_case							:		str								=  self.tokenizer_class.from_pretrained("""facebook/wav2vec2-lv-60-espeak-cv-ft"""		)

   # check adding a single token
   tokenizer.add_tokens("""xxx"""		)
   _snake_case							:		Optional[Any]								=  tokenizer("""m xxx ɪ""",				do_phonemize=a_		).input_ids
   self.assertEqual(a_,				[13, 392, 17]		)  # xxx should be last token

   tokenizer.add_tokens(["""aaa""", """bbb""", """ccc"""]		)
   _snake_case							:		Union[str, Any]								=  tokenizer("""m aaa ɪ ccc""",				do_phonemize=a_		).input_ids
   self.assertEqual(a_,				[13, 393, 17, 395]		)  # aaa and ccc should be after xxx and 2 after aaa

   _snake_case							:		Any								=  tokenizer("""maɪ c""",				do_phonemize=a_		).input_ids
   self.assertEqual(a_,				[3, 200]		)  # mai should be <unk> (=3)


 def 			UpperCamelCase_       (    self:		Any		):




   '''simple docstring'''



   _snake_case							:		int								=  self.tokenizer_class.from_pretrained("""facebook/wav2vec2-lv-60-espeak-cv-ft"""		)

   _snake_case							:		Tuple								=  """Hello how are you"""
   _snake_case							:		Optional[int]								=  tokenizer.phonemize(a_,				phonemizer_lang="""en-us"""		)
   self.assertEqual(a_,				"""h ə l oʊ h aʊ ɑːɹ j uː"""		)


 def 			UpperCamelCase_       (    self:		Union[str, Any]		):




   '''simple docstring'''



   _snake_case							:		Optional[Any]								=  self.tokenizer_class.from_pretrained("""facebook/wav2vec2-lv-60-espeak-cv-ft"""		)

   _snake_case							:		int								=  """Hello how are you"""
   _snake_case							:		int								=  tokenizer.phonemize(a_,				phonemizer_lang="""en-us"""		)
   self.assertEqual(tokenizer(a_		).input_ids,				tokenizer(a_,				do_phonemize=a_		).input_ids		)


 def 			UpperCamelCase_       (    self:		List[Any]		):




   '''simple docstring'''



   _snake_case							:		List[Any]								=  self.tokenizer_class.from_pretrained("""facebook/wav2vec2-lv-60-espeak-cv-ft"""		)
   _snake_case							:		Tuple								=  """Hello how are you"""
   _snake_case							:		List[str]								=  tokenizer.phonemize(a_,				phonemizer_lang="""en-us"""		)

   _snake_case							:		Optional[Any]								=  tokenizer.decode(tokenizer(a_		).input_ids		)

   self.assertEqual(a_,				a_		)


 def 			UpperCamelCase_       (    self:		Tuple		):




   '''simple docstring'''



   _snake_case							:		Optional[int]								=  self.tokenizer_class.from_pretrained("""facebook/wav2vec2-lv-60-espeak-cv-ft"""		)

   _snake_case							:		List[Any]								=  [
       [11, 5, 15, tokenizer.pad_token_id, 15, 8, 98],
       [24, 22, 5, 24, 22, 5, 77],
   ]
   _snake_case							:		List[Any]								=  tokenizer.decode(sample_ids[0]		)
   _snake_case							:		str								=  tokenizer.batch_decode(a_		)
   self.assertEqual(a_,				batch_tokens[0]		)
   self.assertEqual(a_,				["""k s ɾ ɾ l ɭʲ""", """j ð s j ð s oːɹ"""]		)


 def 			UpperCamelCase_       (    self:		Optional[int]		):




   '''simple docstring'''



   _snake_case							:		List[str]								=  self.tokenizer_class.from_pretrained(
       """facebook/wav2vec2-lv-60-espeak-cv-ft""",				word_delimiter_token="""|"""		)
   tokenizer.add_tokens("""|"""		)

   _snake_case							:		Union[str, Any]								=  """Hello how are you"""
   _snake_case							:		Tuple								=  tokenizer.phonemize(a_,				phonemizer_lang="""en-us"""		)
   self.assertEqual(a_,				"""h ə l oʊ | h aʊ | ɑːɹ | j uː |"""		)


 def 			UpperCamelCase_       (    self:		int		):




   '''simple docstring'''



   _snake_case							:		List[Any]								=  self.tokenizer_class.from_pretrained(
       """facebook/wav2vec2-lv-60-espeak-cv-ft""",				word_delimiter_token="""|"""		)
   tokenizer.add_tokens("""|"""		)

   _snake_case							:		int								=  """Hello how are you"""
   _snake_case							:		Dict								=  tokenizer.phonemize(a_,				phonemizer_lang="""en-us"""		)
   self.assertEqual(tokenizer(a_		).input_ids,				tokenizer(a_,				do_phonemize=a_		).input_ids		)


 def 			UpperCamelCase_       (    self:		List[Any]		):




   '''simple docstring'''



   _snake_case							:		Dict								=  self.tokenizer_class.from_pretrained(
       """facebook/wav2vec2-lv-60-espeak-cv-ft""",				word_delimiter_token="""|"""		)
   tokenizer.add_tokens("""|"""		)

   # fmt: off
   _snake_case							:		List[str]								=  [
       [11, 5, 15, tokenizer.pad_token_id, tokenizer.word_delimiter_token_id, 15, 8, tokenizer.word_delimiter_token_id, 98],
       [tokenizer.word_delimiter_token_id, 24, 22, tokenizer.word_delimiter_token_id, 5, 24, 22, 5, 77],
   ]
   # fmt: on

   # decode with word_del_token filter
   _snake_case							:		List[str]								=  tokenizer.decode(sample_ids[0]		)
   _snake_case							:		Optional[int]								=  tokenizer.batch_decode(a_		)
   self.assertEqual(a_,				batch_tokens[0]		)
   self.assertEqual(a_,				["""k s ɾ ɾ l ɭʲ""", """j ð s j ð s oːɹ"""]		)

   # decode with no word_del_token filter
   _snake_case							:		int								=  tokenizer.decode(sample_ids[0],				filter_word_delimiter_token=a_		)
   _snake_case							:		Dict								=  tokenizer.batch_decode(a_,				filter_word_delimiter_token=a_		)
   self.assertEqual(a_,				batch_tokens[0]		)
   self.assertEqual(a_,				["""k s ɾ | ɾ l | ɭʲ""", """| j ð | s j ð s oːɹ"""]		)


 def 			UpperCamelCase_       (    self:		Optional[int]		):




   '''simple docstring'''



   _snake_case							:		Dict								=  self.tokenizer_class.from_pretrained(
       """facebook/wav2vec2-lv-60-espeak-cv-ft""",				word_delimiter_token="""|"""		)
   tokenizer.add_tokens("""|"""		)

   _snake_case							:		str								=  """Hello how are you"""
   _snake_case							:		List[Any]								=  tokenizer.phonemize(a_,				phonemizer_lang="""en-us"""		)

   _snake_case							:		Union[str, Any]								=  tokenizer.decode(tokenizer(a_		).input_ids,				filter_word_delimiter_token=a_		)

   self.assertEqual(a_,				a_		)


 def 			UpperCamelCase_       (    self:		Optional[Any]		):




   '''simple docstring'''



   _snake_case							:		str								=  self.tokenizer_class.from_pretrained(
       """facebook/wav2vec2-lv-60-espeak-cv-ft""",				word_delimiter_token="""|"""		)
   tokenizer.add_tokens("""|"""		)

   _snake_case							:		Any								=  """Hello how are you"""
   _snake_case							:		Any								=  tokenizer.phonemize(a_,				phonemizer_lang="""en-us"""		)

   _snake_case							:		Any								=  tokenizer.decode(tokenizer(a_		).input_ids,				filter_word_delimiter_token=a_		)

   self.assertEqual(""" """.join([p.strip() for p in phonemes.split(""" |"""		)]		).strip(),				a_		)


 def 			UpperCamelCase_       (    self:		Dict		):




   '''simple docstring'''



   _snake_case							:		List[Any]								=  self.tokenizer_class.from_pretrained(
       """facebook/wav2vec2-lv-60-espeak-cv-ft""",				word_delimiter_token=a_		)
   _snake_case							:		str								=  """Hello how are you"""

   _snake_case							:		str								=  tokenizer(a_,				phonemizer_lang="""en-us"""		).input_ids
   _snake_case							:		List[str]								=  tokenizer(a_,				phonemizer_lang="""fr-fr"""		).input_ids

   self.assertNotEqual(a_,				a_		)

   _snake_case							:		Dict								=  tokenizer.decode(a_		)
   _snake_case							:		Union[str, Any]								=  tokenizer.decode(a_		)

   self.assertEqual(a_,				"""h ə l oʊ h aʊ ɑːɹ j uː"""		)
   self.assertEqual(a_,				"""ɛ l o h aʊ a ʁ j u"""		)


 def 			UpperCamelCase_       (    self:		List[Any]		):




   '''simple docstring'''



   _snake_case							:		List[Any]								=  self.tokenizer_class.from_pretrained("""facebook/wav2vec2-lv-60-espeak-cv-ft"""		)
   _snake_case							:		Optional[Any]								=  """Hello how Are you"""
   _snake_case							:		Optional[int]								=  """hello how are you"""

   _snake_case							:		List[str]								=  tokenizer(a_		).input_ids
   _snake_case							:		int								=  tokenizer(a_		).input_ids

   self.assertEqual(a_,				a_		)


 def 			UpperCamelCase_       (    self:		int		):




   '''simple docstring'''



   _snake_case							:		Tuple								=  self.tokenizer_class.from_pretrained("""facebook/wav2vec2-lv-60-espeak-cv-ft"""		)
   tokenizer.add_tokens(["""!""", """?"""]		)
   tokenizer.add_special_tokens({"""cls_token""": """$$$"""}		)

   # fmt: off
   _snake_case							:		List[Any]								=  [
       [11, 5, 15, tokenizer.pad_token_id, 15, 8, 98, 392, 392, 393, 392, 392, 393, 394, 394],
       [24, 22, 5, 24, 22, 5, 77, tokenizer.pad_token_id, 394, 394],
   ]
   # fmt: on

   _snake_case							:		List[Any]								=  tokenizer.batch_decode(a_		)
   self.assertEqual(a_,				["""k s ɾ ɾ l ɭʲ!?!? $$$""", """j ð s j ð s oːɹ $$$"""]		)


 @staticmethod
 def 			UpperCamelCase_       (    a_:		Tuple,				a_:		Tuple		):




   '''simple docstring'''



   _snake_case							:		List[str]								=  [d[key] for d in offsets]
   return retrieved_list


 def 			UpperCamelCase_       (    self:		int		):




   '''simple docstring'''



   _snake_case							:		Optional[Any]								=  self.get_tokenizer(word_delimiter_token="""|"""		)
   tokenizer.add_tokens("""|"""		)

   # fmt: off
   # ksssɾɾ|ɾɾ<pad>ɾɾ|<pad>ɾlll|ɭʲ -> k s ɾ ɾ | ɾ l | ɭʲ"
   _snake_case							:		Optional[int]								=  [11, 5, 5, 5, 15, 15, tokenizer.pad_token_id, 15, 15, tokenizer.word_delimiter_token_id, tokenizer.pad_token_id, 15, 8, 8, 8, tokenizer.word_delimiter_token_id, 98]
   # fmt: on

   _snake_case							:		Any								=  tokenizer.decode(a_,				output_char_offsets=a_,				filter_word_delimiter_token=a_		)
   # check Wav2Vec2CTCTokenizerOutput keys for char
   self.assertEqual(len(outputs.keys()		),				2		)
   self.assertTrue("""text""" in outputs		)
   self.assertTrue("""char_offsets""" in outputs		)
   self.assertTrue(isinstance(a_,				a_		)		)

   # check that order of chars is correct and identical for both outputs
   self.assertEqual(""" """.join(self.get_from_offsets(outputs["""char_offsets"""],				"""char"""		)		),				outputs.text		)
   self.assertListEqual(
       self.get_from_offsets(outputs["""char_offsets"""],				"""char"""		),				["""k""", """s""", """ɾ""", """ɾ""", """|""", """ɾ""", """l""", """|""", """ɭʲ"""]		)

   # check that offsets are actually correct for char
   # 0-1 is 11, 1-4 is 5, 4-6 is first 15, 6-7 is <pad> (thus not shown), 7-9 is second 15, 9-10 is word_delimiter_token,
   # 10-11 is <pad> (thus not shown), 11-12 is third 15, 12-15 is 8, 15-16 is word_delimiter_token, 16-17 is 98
   self.assertListEqual(
       self.get_from_offsets(outputs["""char_offsets"""],				"""start_offset"""		),				[0, 1, 4, 7, 9, 11, 12, 15, 16]		)
   self.assertListEqual(
       self.get_from_offsets(outputs["""char_offsets"""],				"""end_offset"""		),				[1, 4, 6, 9, 10, 12, 15, 16, 17]		)


 def 			UpperCamelCase_       (    self:		Optional[Any]		):




   '''simple docstring'''



   _snake_case							:		Optional[Any]								=  self.get_tokenizer(word_delimiter_token="""|"""		)

   def check_list_tuples_equal(a_:		List[str],				a_:		Optional[Any]		):
     self.assertTrue(isinstance(a_,				a_		)		)
     self.assertTrue(isinstance(outputs_list[0],				a_		)		)

     # transform list to ModelOutput
     _snake_case							:		int								=  WavaVecaPhonemeCTCTokenizerOutput(
         {k: [d[k] for d in outputs_list] for k in outputs_list[0]}		)

     self.assertListEqual(outputs_batch["""text"""],				outputs_batch_a["""text"""]		)

     def recursive_check(a_:		Union[str, Any],				a_:		Optional[Any]		):
       if isinstance(a_,				a_		):
         [recursive_check(a_,				a_		) for la, la in zip(a_,				a_		)]
       self.assertEqual(a_,				a_		)

     if "char_offsets" in outputs_batch:
       recursive_check(outputs_batch["""char_offsets"""],				outputs_batch_a["""char_offsets"""]		)

        # fmt: off
   _snake_case							:		int								=  [
       [11, 5, 15, tokenizer.pad_token_id, 15, 4, 8, 98, 32, 32, 32, 32, 4, 33, tokenizer.word_delimiter_token_id, 32, 32, 33, 34, 34],
       [24, 22, 5, tokenizer.word_delimiter_token_id, tokenizer.word_delimiter_token_id, 24, 22, 22, 22, 4, 5, 77, tokenizer.pad_token_id, 22, 22, 4, 34, 34, 34, 34],
   ]
   # fmt: on

   # We assume that `decode` works as expected. All we will check now is
   # the output type is correct and the output is identical to `decode`

   # char
   _snake_case							:		int								=  tokenizer.batch_decode(a_,				output_char_offsets=a_		)
   _snake_case							:		Union[str, Any]								=  [tokenizer.decode(a_,				output_char_offsets=a_		) for ids in sample_ids]
   check_list_tuples_equal(a_,				a_		)


 @unittest.skip("""Wav2Vec2PhonemeTokenizer always lower cases letters to correctly map to phonemes"""		)
 def 			UpperCamelCase_       (    self:		Any		):




   '''simple docstring'''



   pass


 @unittest.skip("""Wav2Vec2PhonemeTokenizer always puts spaces between phonemes"""		)
 def 			UpperCamelCase_       (    self:		List[Any]		):




   '''simple docstring'''



   pass


 @unittest.skip("""encodes to text to ids, but decodes ids to phonemes -> not possible to have internal consistency"""		)
 def 			UpperCamelCase_       (    self:		Optional[int]		):




   '''simple docstring'''



   pass


 @unittest.skip("""Wav2Vec2PhonemeModel has no max model length => no testing"""		)
 def 			UpperCamelCase_       (    self:		int		):




   '''simple docstring'''



   pass


 def 			UpperCamelCase_       (    self:		Tuple		):




   '''simple docstring'''



   _snake_case							:		int								=  self.get_tokenizers(do_lower_case=a_		)
   for tokenizer in tokenizers:
     with self.subTest(f"{tokenizer.__class__.__name__}"		):
       _snake_case							:		Optional[Any]								=  tokenizer.vocab_size
       _snake_case							:		int								=  len(a_		)

       self.assertNotEqual(a_,				0		)

       # We usually have added tokens from the start in tests because our vocab fixtures are
       # smaller than the original vocabs - let's not assert this
       # self.assertEqual(vocab_size, all_size)

       _snake_case							:		Optional[int]								=  ["""aaaaa bbbbbb""", """cccccccccdddddddd"""]
       _snake_case							:		Any								=  tokenizer.add_tokens(a_		)
       _snake_case							:		Tuple								=  tokenizer.vocab_size
       _snake_case							:		List[str]								=  len(a_		)

       self.assertNotEqual(a_,				0		)
       self.assertEqual(a_,				a_		)
       self.assertEqual(a_,				len(a_		)		)
       self.assertEqual(a_,				all_size + len(a_		)		)

       _snake_case							:		Optional[Any]								=  tokenizer.encode("""aaaaa bbbbbb low cccccccccdddddddd l""",				add_special_tokens=a_		)

       self.assertGreaterEqual(len(a_		),				4		)
       self.assertGreater(tokens[0],				tokenizer.vocab_size - 1		)
       self.assertGreater(tokens[-3],				tokenizer.vocab_size - 1		)

       _snake_case							:		Optional[int]								=  {"""eos_token""": """>>>>|||<||<<|<<""", """pad_token""": """<<<<<|||>|>>>>|>"""}
       _snake_case							:		Dict								=  tokenizer.add_special_tokens(a_		)
       _snake_case							:		List[str]								=  tokenizer.vocab_size
       _snake_case							:		List[Any]								=  len(a_		)

       self.assertNotEqual(a_,				0		)
       self.assertEqual(a_,				a_		)
       self.assertEqual(a_,				len(a_		)		)
       self.assertEqual(a_,				all_size_a + len(a_		)		)

       _snake_case							:		Dict								=  tokenizer.encode(
           """>>>>|||<||<<|<< aaaaabbbbbb low cccccccccdddddddd <<<<<|||>|>>>>|> l""",				add_special_tokens=a_		)

       self.assertGreaterEqual(len(a_		),				6		)
       self.assertGreater(tokens[0],				tokenizer.vocab_size - 1		)
       self.assertGreater(tokens[0],				tokens[1]		)
       self.assertGreater(tokens[-3],				tokenizer.vocab_size - 1		)
       self.assertGreater(tokens[-3],				tokens[-4]		)
       self.assertEqual(tokens[0],				tokenizer.eos_token_id		)
       self.assertEqual(tokens[-3],				tokenizer.pad_token_id		)


 @unittest.skip("""The tokenizer shouldn't be used to encode input IDs (except for labels), only to decode."""		)
 def 			UpperCamelCase_       (    self:		int		):




   '''simple docstring'''



   pass


 @unittest.skip("""The tokenizer shouldn't be used to encode input IDs (except for labels), only to decode."""		)
 def 			UpperCamelCase_       (    self:		Optional[Any]		):




   '''simple docstring'''



   pass


 def 			UpperCamelCase_       (    self:		int		):




   '''simple docstring'''



   _snake_case							:		str								=  self.get_tokenizers(fast=a_,				do_lower_case=a_		)
   for tokenizer in tokenizers:
     with self.subTest(f"{tokenizer.__class__.__name__}"		):
       _snake_case							:		str								=  ["""ð""", """ɪ""", """s""", """ɪ""", """z""", """ɐ""", """t""", """ɛ""", """k""", """s""", """t"""]
       _snake_case							:		Optional[Any]								=  tokenizer.convert_tokens_to_string(a_		)

       self.assertIsInstance(output["""text"""],				a_		)


