




'''simple docstring'''

from collections.abc import Iterator, MutableMapping
from dataclasses import dataclass
from typing import Generic, TypeVar

a       :						str								=		TypeVar('''KEY''')
a       :						Tuple								=		TypeVar('''VAL''')



@dataclass(frozen=_UpperCamelCase				,     slots=_UpperCamelCase	)
class 		SCREAMING_SNAKE_CASE__  (			Generic[KEY, VAL]	):
			__SCREAMING_SNAKE_CASE    =			42
			__SCREAMING_SNAKE_CASE    =			42







class 		SCREAMING_SNAKE_CASE__  (			_Item	):





			def __init__(      self						:    Tuple							):



						"""simple docstring"""




						super().__init__(a_      ,		a_							)






			def __bool__(      self						:    List[Any]							):



						"""simple docstring"""




						return False







a       :						Any								=		_DeletedItem()



class 		SCREAMING_SNAKE_CASE__  (			MutableMapping[KEY, VAL]	):





			def __init__(      self						:    Any      ,		a_						:    int = 8      ,		a_						:    float = 0.75							):



						"""simple docstring"""




						__snake_case			=		initial_block_size
						__snake_case			=		[None] * initial_block_size
						assert 0.0 < capacity_factor < 1.0
						__snake_case			=		capacity_factor
						__snake_case			=		0





			def 							A (      self						:    Union[str, Any]      ,		a_						:    KEY							):



						"""simple docstring"""




						return hash(a_							) % len(self._buckets							)





			def 							A (      self						:    Optional[Any]      ,		a_						:    int							):



						"""simple docstring"""




						return (ind + 1) % len(self._buckets							)





			def 							A (      self						:    List[str]      ,		a_						:    int      ,		a_						:    KEY      ,		a_						:    VAL							):



						"""simple docstring"""




						__snake_case			=		self._buckets[ind]
						if not stored:
									__snake_case			=		_Item(a_      ,		a_							)
									self._len += 1
									return True
						elif stored.key == key:
									__snake_case			=		_Item(a_      ,		a_							)
									return True
						else:
									return False





			def 							A (      self						:    Tuple							):



						"""simple docstring"""




						__snake_case			=		len(self._buckets							) * self._capacity_factor
						return len(self							) >= int(a_							)





			def 							A (      self						:    Optional[int]							):



						"""simple docstring"""




						if len(self._buckets							) <= self._initial_block_size:
									return False
						__snake_case			=		len(self._buckets							) * self._capacity_factor / 2
						return len(self							) < limit





			def 							A (      self						:    str      ,		a_						:    int							):



						"""simple docstring"""




						__snake_case			=		self._buckets
						__snake_case			=		[None] * new_size
						__snake_case			=		0
						for item in old_buckets:
									if item:
												self._add_item(item.key      ,		item.val							)





			def 							A (      self						:    List[Any]							):



						"""simple docstring"""




						self._resize(len(self._buckets							) * 2							)





			def 							A (      self						:    int							):



						"""simple docstring"""




						self._resize(len(self._buckets							) // 2							)





			def 							A (      self						:    List[Any]      ,		a_						:    KEY							):



						"""simple docstring"""




						__snake_case			=		self._get_bucket_index(a_							)
						for _ in range(len(self._buckets							)							):
									yield ind
									__snake_case			=		self._get_next_ind(a_							)





			def 							A (      self						:    str      ,		a_						:    KEY      ,		a_						:    VAL							):



						"""simple docstring"""




						for ind in self._iterate_buckets(a_							):
									if self._try_set(a_      ,		a_      ,		a_							):
												break





			def __setitem__(      self						:    Union[str, Any]      ,		a_						:    KEY      ,		a_						:    VAL							):



						"""simple docstring"""




						if self._is_full():
									self._size_up()

						self._add_item(a_      ,		a_							)





			def __delitem__(      self						:    List[str]      ,		a_						:    KEY							):



						"""simple docstring"""




						for ind in self._iterate_buckets(a_							):
									__snake_case			=		self._buckets[ind]
									if item is None:
												raise KeyError(a_							)
									if item is _deleted:
												continue
									if item.key == key:
												__snake_case			=		_deleted
												self._len -= 1
												break
						if self._is_sparse():
									self._size_down()





			def __getitem__(      self						:    Optional[int]      ,		a_						:    KEY							):



						"""simple docstring"""




						for ind in self._iterate_buckets(a_							):
									__snake_case			=		self._buckets[ind]
									if item is None:
												break
									if item is _deleted:
												continue
									if item.key == key:
												return item.val
						raise KeyError(a_							)





			def __len__(      self						:    Dict							):



						"""simple docstring"""




						return self._len





			def __iter__(      self						:    List[str]							):



						"""simple docstring"""




						yield from (item.key for item in self._buckets if item)






			def __repr__(      self						:    int							):



						"""simple docstring"""




						__snake_case			=		" ,".join(
						    f'''{item.key}: {item.val}''' for item in self._buckets if item							)
						return f'''HashMap({val_string})'''












from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_flax_available, is_torch_available


_lowerCamelCase 					=      {'configuration_speech_encoder_decoder': ['SpeechEncoderDecoderConfig']}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	_lowerCamelCase 					=      ['SpeechEncoderDecoderModel']

try:
	if not is_flax_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	_lowerCamelCase 					=      ['FlaxSpeechEncoderDecoderModel']

if TYPE_CHECKING:
	from .configuration_speech_encoder_decoder import SpeechEncoderDecoderConfig

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_speech_encoder_decoder import SpeechEncoderDecoderModel

	try:
		if not is_flax_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_flax_speech_encoder_decoder import FlaxSpeechEncoderDecoderModel

else:
	import sys

	_lowerCamelCase 					=      _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)