



import dataclasses
import json
import sys
import types
from argparse import ArgumentDefaultsHelpFormatter, ArgumentParser, ArgumentTypeError
from copy import copy
from enum import Enum
from inspect import isclass
from pathlib import Path
from typing import Any, Callable, Dict, Iterable, List, Literal, NewType, Optional, Tuple, Union, get_type_hints

import yaml


UpperCamelCase__ =						NewType("DataClass", Any)
UpperCamelCase__ =						NewType("DataClassType", Any)






def  UpperCAmelCase__    (    lowercase__   ) ->      List[Any]:
						if isinstance(lowercase__						,       lowercase__   ):
												return v
						if v.lower() in ("yes", "true", "t", "y", "1"):
												return True
						elif v.lower() in ("no", "false", "f", "n", "0"):
												return False
						else:
												raise ArgumentTypeError(
												    F"Truthy value expected: got {v} but expected one of yes/no, true/false, t/f, y/n, 1/0 (case insensitive)."   )






def  UpperCAmelCase__    (    lowercase__   ) ->      Callable[[str], Any]:
						__lowercase					=				{str(lowercase__   ): choice for choice in choices}
						return lambda lowercase__   : str_to_choice.get(lowercase__						,       lowercase__   )






def  UpperCAmelCase__    (    *,
    lowercase__ = None						,       lowercase__ = None						,       lowercase__ = dataclasses.MISSING						,       lowercase__ = dataclasses.MISSING						,       lowercase__ = None						,       **lowercase__						,       ) ->      dataclasses.Field:
						if metadata is None:
												# Important, don't use as default param in function signature because dict is mutable and shared across function calls
												__lowercase					=				{}
						if aliases is not None:
												__lowercase					=				aliases
						if help is not None:
												__lowercase					=				help

						return dataclasses.field(metadata=lowercase__						,       default=lowercase__						,       default_factory=lowercase__						,       **lowercase__   )







class 			_lowerCAmelCase   ( _UpperCAmelCase			):






			"""simple docstring"""





			lowercase__      :  Iterable[DataClassType]





			def __init__(				self	:       Union[str, Any]			,     lowercase	:       Union[DataClassType, Iterable[DataClassType]]			,     **lowercase	:       Dict   )						->					Dict:
									"""simple docstring"""







									if "formatter_class" not in kwargs:
															__lowercase					=				ArgumentDefaultsHelpFormatter
									super().__init__(**lowercase   )
									if dataclasses.is_dataclass(lowercase   ):
															__lowercase					=				[dataclass_types]
									__lowercase					=				list(lowercase   )
									for dtype in self.dataclass_types:
															self._add_dataclass_arguments(lowercase   )





			@staticmethod
			def 		snake_case__			(				lowercase	:       ArgumentParser			,     lowercase	:       dataclasses.Field   )						->					Optional[int]:
									"""simple docstring"""







									__lowercase					=				F"--{field.name}"
									__lowercase					=				field.metadata.copy()
									# field.metadata is not used at all by Data Classes,
									# it is provided as a third-party extension mechanism.
									if isinstance(field.type			,     lowercase   ):
															raise RuntimeError(
															    """Unresolved type detected, which should have been done with the help of """
															    """`typing.get_type_hints` method by default"""   )

									__lowercase					=				kwargs.pop("""aliases"""			,     []   )
									if isinstance(lowercase			,     lowercase   ):
															__lowercase					=				[aliases]

									__lowercase					=				getattr(field.type			,     """__origin__"""			,     field.type   )
									if origin_type is Union or (hasattr(lowercase			,     """UnionType"""   ) and isinstance(lowercase			,     types.UnionType   )):
															if str not in field.type.__args__ and (
															    len(field.type.__args__   ) != 2 or type(lowercase   ) not in field.type.__args__
															):
																					raise ValueError(
																					    """Only `Union[X, NoneType]` (i.e., `Optional[X]`) is allowed for `Union` because"""
																					    """ the argument parser only supports one type per argument."""
																					    F" Problem encountered in field '{field.name}'."   )
															if type(lowercase   ) not in field.type.__args__:
																					# filter `str` in Union
																					__lowercase					=				field.type.__args__[0] if field.type.__args__[1] == str else field.type.__args__[1]
																					__lowercase					=				getattr(field.type			,     """__origin__"""			,     field.type   )
															elif bool not in field.type.__args__:
																					# filter `NoneType` in Union (except for `Union[bool, NoneType]`)
																					__lowercase					=				(
																					    field.type.__args__[0] if isinstance(lowercase			,     field.type.__args__[1]   ) else field.type.__args__[1]
																					)
																					__lowercase					=				getattr(field.type			,     """__origin__"""			,     field.type   )

        # A variable to store kwargs for a boolean field, if needed
        # so that we can init a `no_*` complement argument (see below)
									__lowercase					=				{}
									if origin_type is Literal or (isinstance(field.type			,     lowercase   ) and issubclass(field.type			,     lowercase   )):
															if origin_type is Literal:
																					__lowercase					=				field.type.__args__
															else:
																					__lowercase					=				[x.value for x in field.type]

															__lowercase					=				make_choice_type_function(kwargs["""choices"""]   )

															if field.default is not dataclasses.MISSING:
																					__lowercase					=				field.default
															else:
																					__lowercase					=				True
									elif field.type is bool or field.type == Optional[bool]:
															# Copy the currect kwargs to use to instantiate a `no_*` complement argument below.
															# We do not initialize it here because the `no_*` alternative must be instantiated after the real argument
															__lowercase					=				copy(lowercase   )

															# Hack because type=bool in argparse does not behave as we want.
															__lowercase					=				string_to_bool
															if field.type is bool or (field.default is not None and field.default is not dataclasses.MISSING):
																					# Default value is False if we have no default when of type bool.
																					__lowercase					=				False if field.default is dataclasses.MISSING else field.default
																					# This is the value that will get picked if we don't include --field_name in any way
																					__lowercase					=				default
																					# This tells argparse we accept 0 or 1 value after --field_name
																					__lowercase					=				"""?"""
																					# This is the value that will get picked if we do --field_name (without value)
																					__lowercase					=				True
									elif isclass(lowercase   ) and issubclass(lowercase			,     lowercase   ):
															__lowercase					=				field.type.__args__[0]
															__lowercase					=				"""+"""
															if field.default_factory is not dataclasses.MISSING:
																					__lowercase					=				field.default_factory()
															elif field.default is dataclasses.MISSING:
																					__lowercase					=				True
									else:
															__lowercase					=				field.type
															if field.default is not dataclasses.MISSING:
																					__lowercase					=				field.default
															elif field.default_factory is not dataclasses.MISSING:
																					__lowercase					=				field.default_factory()
															else:
																					__lowercase					=				True
									parser.add_argument(lowercase			,     *lowercase			,     **lowercase   )

									# Add a complement `no_*` argument for a boolean field AFTER the initial field has already been added.
									# Order is important for arguments with the same destination!
									# We use a copy of earlier kwargs because the original kwargs have changed a lot before reaching down
									# here and we do not need those changes/additional keys.
									if field.default is True and (field.type is bool or field.type == Optional[bool]):
															__lowercase					=				False
															parser.add_argument(F"--no_{field.name}"			,     action="""store_false"""			,     dest=field.name			,     **lowercase   )





			def 		snake_case__			(				self	:       str			,     lowercase	:       DataClassType   )						->					Dict:
									"""simple docstring"""







									if hasattr(lowercase			,     """_argument_group_name"""   ):
															__lowercase					=				self.add_argument_group(dtype._argument_group_name   )
									else:
															__lowercase					=				self

									try:
															__lowercase					=				get_type_hints(lowercase   )
									except NameError:
															raise RuntimeError(
															    F"Type resolution failed for {dtype}. Try declaring the class in global scope or "
															    """removing line of `from __future__ import annotations` which opts in Postponed """
															    """Evaluation of Annotations (PEP 563)"""   )
									except TypeError as ex:
															# Remove this block when we drop Python 3.9 support
															if sys.version_info[:2] < (3, 10) and "unsupported operand type(s) for |" in str(lowercase   ):
																					__lowercase					=				""".""".join(map(lowercase			,     sys.version_info[:3]   )   )
																					raise RuntimeError(
																					    F"Type resolution failed for {dtype} on Python {python_version}. Try removing "
																					    """line of `from __future__ import annotations` which opts in union types as """
																					    """`X | Y` (PEP 604) via Postponed Evaluation of Annotations (PEP 563). To """
																					    """support Python versions that lower than 3.10, you need to use """
																					    """`typing.Union[X, Y]` instead of `X | Y` and `typing.Optional[X]` instead of """
																					    """`X | None`."""   ) from ex
															raise

									for field in dataclasses.fields(lowercase   ):
															if not field.init:
																					continue
															__lowercase					=				type_hints[field.name]
															self._parse_dataclass_field(lowercase			,     lowercase   )





			def 		snake_case__			(				self	:       Dict			,     lowercase	:       Any=None			,     lowercase	:       int=False			,     lowercase	:       int=True			,     lowercase	:       Any=None			,     lowercase	:       str=None			,     )						->					Tuple[DataClass, ...]:
									"""simple docstring"""







									if args_file_flag or args_filename or (look_for_args_file and len(sys.argv   )):
															__lowercase					=				[]

															if args_filename:
																					args_files.append(Path(lowercase   )   )
															elif look_for_args_file and len(sys.argv   ):
																					args_files.append(Path(sys.argv[0]   ).with_suffix(""".args"""   )   )

															# args files specified via command line flag should overwrite default args files so we add them last
															if args_file_flag:
																					# Create special parser just to extract the args_file_flag values
																					__lowercase					=				ArgumentParser()
																					args_file_parser.add_argument(lowercase			,     type=lowercase			,     action="""append"""   )

																					# Use only remaining args for further parsing (remove the args_file_flag)
																					__lowercase	,			__lowercase					=				args_file_parser.parse_known_args(args=lowercase   )
																					__lowercase					=				vars(lowercase   ).get(args_file_flag.lstrip("""-"""   )			,     lowercase   )

																					if cmd_args_file_paths:
																											args_files.extend([Path(lowercase   ) for p in cmd_args_file_paths]   )

															__lowercase					=				[]
															for args_file in args_files:
																					if args_file.exists():
																											file_args += args_file.read_text().split()

            # in case of duplicate arguments the last one has precedence
            # args specified via the command line should overwrite args from files, so we add them last
															__lowercase					=				file_args + args if args is not None else file_args + sys.argv[1:]
									__lowercase	,			__lowercase					=				self.parse_known_args(args=lowercase   )
									__lowercase					=				[]
									for dtype in self.dataclass_types:
															__lowercase					=				{f.name for f in dataclasses.fields(lowercase   ) if f.init}
															__lowercase					=				{k: v for k, v in vars(lowercase   ).items() if k in keys}
															for k in keys:
																					delattr(lowercase			,     lowercase   )
															__lowercase					=				dtype(**lowercase   )
															outputs.append(lowercase   )
									if len(namespace.__dict__   ) > 0:
															# additional namespace.
															outputs.append(lowercase   )
									if return_remaining_strings:
															return (*outputs, remaining_args)
									else:
															if remaining_args:
																					raise ValueError(F"Some specified arguments are not used by the HfArgumentParser: {remaining_args}"   )

															return (*outputs,)





			def 		snake_case__			(				self	:       Any			,     lowercase	:       Dict[str, Any]			,     lowercase	:       bool = False   )						->					Tuple[DataClass, ...]:
									"""simple docstring"""







									__lowercase					=				set(args.keys()   )
									__lowercase					=				[]
									for dtype in self.dataclass_types:
															__lowercase					=				{f.name for f in dataclasses.fields(lowercase   ) if f.init}
															__lowercase					=				{k: v for k, v in args.items() if k in keys}
															unused_keys.difference_update(inputs.keys()   )
															__lowercase					=				dtype(**lowercase   )
															outputs.append(lowercase   )
									if not allow_extra_keys and unused_keys:
															raise ValueError(F"Some keys are not used by the HfArgumentParser: {sorted(lowercase   )}"   )
									return tuple(lowercase   )





			def 		snake_case__			(				self	:       List[Any]			,     lowercase	:       str			,     lowercase	:       bool = False   )						->					Tuple[DataClass, ...]:
									"""simple docstring"""







									with open(Path(lowercase   )			,     encoding="""utf-8"""   ) as open_json_file:
															__lowercase					=				json.loads(open_json_file.read()   )
									__lowercase					=				self.parse_dict(lowercase			,     allow_extra_keys=lowercase   )
									return tuple(lowercase   )







			def 		snake_case__			(				self	:       int			,     lowercase	:       str			,     lowercase	:       bool = False   )						->					Tuple[DataClass, ...]:
									"""simple docstring"""







									__lowercase					=				self.parse_dict(yaml.safe_load(Path(lowercase   ).read_text()   )			,     allow_extra_keys=lowercase   )
									return tuple(lowercase   )










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 			_lowerCAmelCase   ( _UpperCAmelCase    ,					unittest.TestCase			):






			"""simple docstring"""





			lowercase__      :  int      =			WavaVecaPhonemeCTCTokenizer
			lowercase__      :  Optional[int]      =			False





			def 		snake_case__			(				self	:       str   )						->					int:
									"""simple docstring"""







									super().setUp()

									__lowercase					=				(
									    """<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(""" """   )
									__lowercase					=				dict(zip(lowercase			,     range(len(lowercase   )   )   )   )

									__lowercase					=				{"""pad_token""": """<pad>""", """unk_token""": """<unk>""", """bos_token""": """<s>""", """eos_token""": """</s>"""}

									__lowercase					=				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(lowercase   ) + """\n"""   )





			def 		snake_case__			(				self	:       List[Any]			,     lowercase	:       Optional[Any]			,     lowercase	:       List[str]=False			,     lowercase	:       List[str]=20			,     lowercase	:       str=5   )						->					Tuple[str, list]:
									"""simple docstring"""







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

									# Ensure consistency
									__lowercase					=				tokenizer.decode(lowercase			,     clean_up_tokenization_spaces=lowercase   )
									if " " not in output_txt and len(lowercase   ) > 1:
															__lowercase					=				(
															    tokenizer.decode([toks_ids[0]]			,     clean_up_tokenization_spaces=lowercase   )
															    + """ """
															    + tokenizer.decode(toks_ids[1:]			,     clean_up_tokenization_spaces=lowercase   )
															)
									if with_prefix_space:
															__lowercase					=				""" """ + output_txt
									__lowercase					=				tokenizer.encode(lowercase			,     add_special_tokens=lowercase   )
									return output_txt, output_ids





			def 		snake_case__			(				self	:       Tuple			,     **lowercase	:       int   )						->					Union[str, Any]:
									"""simple docstring"""







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





			def 		snake_case__			(				self	:       Any   )						->					List[Any]:
									"""simple docstring"""







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

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

									tokenizer.add_tokens(["""aaa""", """bbb""", """ccc"""]   )
									__lowercase					=				tokenizer("""m aaa ɪ ccc"""			,     do_phonemize=lowercase   ).input_ids
									self.assertEqual(lowercase			,     [13, 393, 17, 395]   )  # aaa and ccc should be after xxx and 2 after aaa

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





			def 		snake_case__			(				self	:       int   )						->					Tuple:
									"""simple docstring"""







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

									__lowercase					=				"""Hello how are you"""
									__lowercase					=				tokenizer.phonemize(lowercase			,     phonemizer_lang="""en-us"""   )
									self.assertEqual(lowercase			,     """h ə l oʊ h aʊ ɑːɹ j uː"""   )





			def 		snake_case__			(				self	:       List[Any]   )						->					Optional[int]:
									"""simple docstring"""







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

									__lowercase					=				"""Hello how are you"""
									__lowercase					=				tokenizer.phonemize(lowercase			,     phonemizer_lang="""en-us"""   )
									self.assertEqual(tokenizer(lowercase   ).input_ids			,     tokenizer(lowercase			,     do_phonemize=lowercase   ).input_ids   )





			def 		snake_case__			(				self	:       Union[str, Any]   )						->					Optional[int]:
									"""simple docstring"""







									__lowercase					=				self.tokenizer_class.from_pretrained("""facebook/wav2vec2-lv-60-espeak-cv-ft"""   )
									__lowercase					=				"""Hello how are you"""
									__lowercase					=				tokenizer.phonemize(lowercase			,     phonemizer_lang="""en-us"""   )

									__lowercase					=				tokenizer.decode(tokenizer(lowercase   ).input_ids   )

									self.assertEqual(lowercase			,     lowercase   )





			def 		snake_case__			(				self	:       str   )						->					List[str]:
									"""simple docstring"""







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

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





			def 		snake_case__			(				self	:       int   )						->					Optional[Any]:
									"""simple docstring"""







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

									__lowercase					=				"""Hello how are you"""
									__lowercase					=				tokenizer.phonemize(lowercase			,     phonemizer_lang="""en-us"""   )
									self.assertEqual(lowercase			,     """h ə l oʊ | h aʊ | ɑːɹ | j uː |"""   )





			def 		snake_case__			(				self	:       Union[str, Any]   )						->					Any:
									"""simple docstring"""







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

									__lowercase					=				"""Hello how are you"""
									__lowercase					=				tokenizer.phonemize(lowercase			,     phonemizer_lang="""en-us"""   )
									self.assertEqual(tokenizer(lowercase   ).input_ids			,     tokenizer(lowercase			,     do_phonemize=lowercase   ).input_ids   )





			def 		snake_case__			(				self	:       List[Any]   )						->					Tuple:
									"""simple docstring"""







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

									# fmt: off
									__lowercase					=				[
									    [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
									__lowercase					=				tokenizer.decode(sample_ids[0]   )
									__lowercase					=				tokenizer.batch_decode(lowercase   )
									self.assertEqual(lowercase			,     batch_tokens[0]   )
									self.assertEqual(lowercase			,     ["""k s ɾ ɾ l ɭʲ""", """j ð s j ð s oːɹ"""]   )

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





			def 		snake_case__			(				self	:       int   )						->					str:
									"""simple docstring"""







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

									__lowercase					=				"""Hello how are you"""
									__lowercase					=				tokenizer.phonemize(lowercase			,     phonemizer_lang="""en-us"""   )

									__lowercase					=				tokenizer.decode(tokenizer(lowercase   ).input_ids			,     filter_word_delimiter_token=lowercase   )

									self.assertEqual(lowercase			,     lowercase   )





			def 		snake_case__			(				self	:       Optional[int]   )						->					Any:
									"""simple docstring"""







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

									__lowercase					=				"""Hello how are you"""
									__lowercase					=				tokenizer.phonemize(lowercase			,     phonemizer_lang="""en-us"""   )

									__lowercase					=				tokenizer.decode(tokenizer(lowercase   ).input_ids			,     filter_word_delimiter_token=lowercase   )

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





			def 		snake_case__			(				self	:       str   )						->					List[str]:
									"""simple docstring"""







									__lowercase					=				self.tokenizer_class.from_pretrained(
									    """facebook/wav2vec2-lv-60-espeak-cv-ft"""			,     word_delimiter_token=lowercase   )
									__lowercase					=				"""Hello how are you"""

									__lowercase					=				tokenizer(lowercase			,     phonemizer_lang="""en-us"""   ).input_ids
									__lowercase					=				tokenizer(lowercase			,     phonemizer_lang="""fr-fr"""   ).input_ids

									self.assertNotEqual(lowercase			,     lowercase   )

									__lowercase					=				tokenizer.decode(lowercase   )
									__lowercase					=				tokenizer.decode(lowercase   )

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





			def 		snake_case__			(				self	:       int   )						->					int:
									"""simple docstring"""







									__lowercase					=				self.tokenizer_class.from_pretrained("""facebook/wav2vec2-lv-60-espeak-cv-ft"""   )
									__lowercase					=				"""Hello how Are you"""
									__lowercase					=				"""hello how are you"""

									__lowercase					=				tokenizer(lowercase   ).input_ids
									__lowercase					=				tokenizer(lowercase   ).input_ids

									self.assertEqual(lowercase			,     lowercase   )





			def 		snake_case__			(				self	:       int   )						->					Union[str, Any]:
									"""simple docstring"""







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

									# fmt: off
									__lowercase					=				[
									    [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

									__lowercase					=				tokenizer.batch_decode(lowercase   )
									self.assertEqual(lowercase			,     ["""k s ɾ ɾ l ɭʲ!?!? $$$""", """j ð s j ð s oːɹ $$$"""]   )





			@staticmethod
			def 		snake_case__			(				lowercase	:       List[str]			,     lowercase	:       Optional[int]   )						->					List[Any]:
									"""simple docstring"""







									__lowercase					=				[d[key] for d in offsets]
									return retrieved_list





			def 		snake_case__			(				self	:       str   )						->					Union[str, Any]:
									"""simple docstring"""







									__lowercase					=				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"
									__lowercase					=				[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

									__lowercase					=				tokenizer.decode(lowercase			,     output_char_offsets=lowercase			,     filter_word_delimiter_token=lowercase   )
									# 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(lowercase			,     lowercase   )   )

									# 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 		snake_case__			(				self	:       List[Any]   )						->					Dict:
									"""simple docstring"""







									__lowercase					=				self.get_tokenizer(word_delimiter_token="""|"""   )

									def check_list_tuples_equal(lowercase	:       List[str]			,     lowercase	:       Dict   ):
															self.assertTrue(isinstance(lowercase			,     lowercase   )   )
															self.assertTrue(isinstance(outputs_list[0]			,     lowercase   )   )

															# transform list to ModelOutput
															__lowercase					=				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(lowercase	:       List[Any]			,     lowercase	:       Optional[int]   ):
																					if isinstance(lowercase			,     lowercase   ):
																											[recursive_check(lowercase			,     lowercase   ) for la, la in zip(lowercase			,     lowercase   )]
																					self.assertEqual(lowercase			,     lowercase   )

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

        # fmt: off
									__lowercase					=				[
									    [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
									__lowercase					=				tokenizer.batch_decode(lowercase			,     output_char_offsets=lowercase   )
									__lowercase					=				[tokenizer.decode(lowercase			,     output_char_offsets=lowercase   ) for ids in sample_ids]
									check_list_tuples_equal(lowercase			,     lowercase   )





			@unittest.skip("""Wav2Vec2PhonemeTokenizer always lower cases letters to correctly map to phonemes"""   )
			def 		snake_case__			(				self	:       List[Any]   )						->					int:
									"""simple docstring"""







									pass





			@unittest.skip("""Wav2Vec2PhonemeTokenizer always puts spaces between phonemes"""   )
			def 		snake_case__			(				self	:       List[str]   )						->					List[str]:
									"""simple docstring"""







									pass





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







									pass





			@unittest.skip("""Wav2Vec2PhonemeModel has no max model length => no testing"""   )
			def 		snake_case__			(				self	:       str   )						->					int:
									"""simple docstring"""







									pass





			def 		snake_case__			(				self	:       Any   )						->					int:
									"""simple docstring"""







									__lowercase					=				self.get_tokenizers(do_lower_case=lowercase   )
									for tokenizer in tokenizers:
															with self.subTest(F"{tokenizer.__class__.__name__}"   ):
																					__lowercase					=				tokenizer.vocab_size
																					__lowercase					=				len(lowercase   )

																					self.assertNotEqual(lowercase			,     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)

																					__lowercase					=				["""aaaaa bbbbbb""", """cccccccccdddddddd"""]
																					__lowercase					=				tokenizer.add_tokens(lowercase   )
																					__lowercase					=				tokenizer.vocab_size
																					__lowercase					=				len(lowercase   )

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

																					__lowercase					=				tokenizer.encode("""aaaaa bbbbbb low cccccccccdddddddd l"""			,     add_special_tokens=lowercase   )

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

																					__lowercase					=				{"""eos_token""": """>>>>|||<||<<|<<""", """pad_token""": """<<<<<|||>|>>>>|>"""}
																					__lowercase					=				tokenizer.add_special_tokens(lowercase   )
																					__lowercase					=				tokenizer.vocab_size
																					__lowercase					=				len(lowercase   )

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

																					__lowercase					=				tokenizer.encode(
																					    """>>>>|||<||<<|<< aaaaabbbbbb low cccccccccdddddddd <<<<<|||>|>>>>|> l"""			,     add_special_tokens=lowercase   )

																					self.assertGreaterEqual(len(lowercase   )			,     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 		snake_case__			(				self	:       str   )						->					int:
									"""simple docstring"""







									pass





			@unittest.skip("""The tokenizer shouldn't be used to encode input IDs (except for labels), only to decode."""   )
			def 		snake_case__			(				self	:       List[Any]   )						->					Dict:
									"""simple docstring"""







									pass







			def 		snake_case__			(				self	:       Dict   )						->					Union[str, Any]:
									"""simple docstring"""







									__lowercase					=				self.get_tokenizers(fast=lowercase			,     do_lower_case=lowercase   )
									for tokenizer in tokenizers:
															with self.subTest(F"{tokenizer.__class__.__name__}"   ):
																					__lowercase					=				["""ð""", """ɪ""", """s""", """ɪ""", """z""", """ɐ""", """t""", """ɛ""", """k""", """s""", """t"""]
																					__lowercase					=				tokenizer.convert_tokens_to_string(lowercase   )

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





