



"""simple docstring"""







from abc import ABC, abstractmethod
from typing import List, Optional

class       _a  ( SCREAMING_SNAKE_CASE__):



			def __init__(			self							:				str		)							->					int:
									self.test()



			def 				__lowercase					(			self							:				List[str]		)							->					Union[str, Any]:
									snake_case   :			Dict						    = 0
									snake_case   :			List[str]						    = False
									while not completed:
															if counter == 1:
																					self.reset()
															snake_case   :			List[Any]						    = self.advance()
															if not self.does_advance(A_		):
																					raise Exception(
																					    "Custom Constraint is not defined correctly. self.does_advance(self.advance()) must be true."		)

															snake_case   :			Optional[int]						    = self.update(A_		)
															counter += 1

															if counter > 10000:
																					raise Exception("update() does not fulfill the constraint."		)

									if self.remaining() != 0:
															raise Exception("Custom Constraint is not defined correctly."		)



			@abstractmethod
			def 				__lowercase					(			self							:				Dict		)							->					Dict:
									raise NotImplementedError(
									    F'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.'''		)



			@abstractmethod
			def 				__lowercase					(			self							:				Union[str, Any]   ,	_lowercase							:				Optional[Any]		)							->					str:
									raise NotImplementedError(
									    F'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.'''		)



			@abstractmethod
			def 				__lowercase					(			self							:				Optional[int]   ,	_lowercase							:				Optional[int]		)							->					List[Any]:
									raise NotImplementedError(
									    F'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.'''		)



			@abstractmethod
			def 				__lowercase					(			self							:				Union[str, Any]		)							->					Any:
									raise NotImplementedError(
									    F'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.'''		)



			@abstractmethod
			def 				__lowercase					(			self							:				Optional[Any]		)							->					List[Any]:
									raise NotImplementedError(
									    F'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.'''		)



			@abstractmethod
			def 				__lowercase					(			self							:				Optional[int]   ,	_lowercase							:				str=False		)							->					List[str]:
									raise NotImplementedError(
									    F'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.'''		)



class       _a  ( SCREAMING_SNAKE_CASE__):



			def __init__(			self							:				str   ,	_lowercase							:				Optional[int]		)							->					Optional[Any]:
									super(A_   ,	self		).__init__()

									if not isinstance(A_   ,	A_		) or len(A_		) == 0:
															raise ValueError(F'''`token_ids` has to be a non-empty list, but is {token_ids}.'''		)
									if any((not isinstance(A_   ,	A_		) or token_id < 0) for token_id in token_ids		):
															raise ValueError(F'''Each list in `token_ids` has to be a list of positive integers, but is {token_ids}.'''		)

									snake_case   :			int						    = token_ids

									snake_case   :			List[Any]						    = len(self.token_ids		)
									snake_case   :			Dict						    = -1  # the index of the currently fulfilled step
									snake_case   :			Any						    = False



			def 				__lowercase					(			self							:				Optional[int]		)							->					int:




									if self.completed:
															return None
									return self.token_ids[self.fulfilled_idx + 1]



			def 				__lowercase					(			self							:				Any   ,	_lowercase							:				Optional[int]		)							->					Tuple:




									if not isinstance(A_   ,	A_		):
															raise ValueError(F'''`token_id` has to be an `int`, but is {token_id} of type {type(A_		)}'''		)

									if self.completed:
															return False

									return token_id == self.token_ids[self.fulfilled_idx + 1]



			def 				__lowercase					(			self							:				int   ,	_lowercase							:				Dict		)							->					List[Any]:




									if not isinstance(A_   ,	A_		):
															raise ValueError(F'''`token_id` has to be an `int`, but is {token_id} of type {type(A_		)}'''		)

									snake_case   :			Optional[int]						    = False
									snake_case   :			Optional[Any]						    = False
									snake_case   :			str						    = False

									if self.does_advance(A_		):
															self.fulfilled_idx += 1
															snake_case   :			str						    = True
															if self.fulfilled_idx == (self.seqlen - 1):
																					snake_case   :			Union[str, Any]						    = True
															snake_case   :			Any						    = completed
									else:
															# failed to make progress.
															snake_case   :			str						    = True
															self.reset()
									return stepped, completed, reset



			def 				__lowercase					(			self							:				Any		)							->					str:
									snake_case   :			Optional[Any]						    = False
									snake_case   :			List[str]						    = 0



			def 				__lowercase					(			self							:				str		)							->					List[Any]:
									return self.seqlen - (self.fulfilled_idx + 1)



			def 				__lowercase					(			self							:				List[Any]   ,	_lowercase							:				str=False		)							->					Union[str, Any]:
									snake_case   :			Tuple						    = PhrasalConstraint(self.token_ids		)

									if stateful:
															snake_case   :			Optional[Any]						    = self.seqlen
															snake_case   :			str						    = self.fulfilled_idx
															snake_case   :			Optional[Any]						    = self.completed

									return new_constraint



class       _a  :



			def __init__(			self							:				str   ,	_lowercase							:				Optional[Any]   ,	_lowercase							:				Any=True		)							->					int:
									snake_case   :			int						    = max([len(A_		) for one in nested_token_ids]		)

									snake_case   :			Union[str, Any]						    = {}
									for token_ids in nested_token_ids:
															snake_case   :			Tuple						    = root
															for tidx, token_id in enumerate(A_		):
																					if token_id not in level:
																											snake_case   :			List[Any]						    = {}

																					snake_case   :			Any						    = level[token_id]

									if no_subsets and self.has_subsets(A_   ,	A_		):
															raise ValueError(
															    "Each list in `nested_token_ids` can\'t be a complete subset of another list, but is"
															    F''' {nested_token_ids}.'''		)

									snake_case   :			List[Any]						    = root



			def 				__lowercase					(			self							:				int   ,	_lowercase							:				List[str]		)							->					str:
									snake_case   :			int						    = self.trie

									for current_token in current_seq:
															snake_case   :			List[str]						    = start[current_token]

									snake_case   :			int						    = list(start.keys()		)

									return next_tokens



			def 				__lowercase					(			self							:				Dict   ,	_lowercase							:				Any		)							->					str:
									snake_case   :			int						    = self.next_tokens(A_		)

									return len(A_		) == 0



			def 				__lowercase					(			self							:				str   ,	_lowercase							:				Dict		)							->					Any:
									snake_case   :			Union[str, Any]						    = list(root.values()		)
									if len(A_		) == 0:
															return 1
									else:
															return sum([self.count_leaves(A_		) for nn in next_nodes]		)



			def 				__lowercase					(			self							:				List[Any]   ,	_lowercase							:				str   ,	_lowercase							:				List[Any]		)							->					List[Any]:
									snake_case   :			str						    = self.count_leaves(A_		)
									return len(A_		) != leaf_count



class       _a  ( SCREAMING_SNAKE_CASE__):



			def __init__(			self							:				Tuple   ,	_lowercase							:				str		)							->					List[str]:
									super(A_   ,	self		).__init__()

									if not isinstance(A_   ,	A_		) or len(A_		) == 0:
															raise ValueError(F'''`nested_token_ids` has to be a non-empty list, but is {nested_token_ids}.'''		)
									if any(not isinstance(A_   ,	A_		) for token_ids in nested_token_ids		):
															raise ValueError(F'''`nested_token_ids` has to be a list of lists, but is {nested_token_ids}.'''		)
									if any(
									    any((not isinstance(A_   ,	A_		) or token_id < 0) for token_id in token_ids		)
									    for token_ids in nested_token_ids		):
															raise ValueError(
															    F'''Each list in `nested_token_ids` has to be a list of positive integers, but is {nested_token_ids}.'''		)

									snake_case   :			Tuple						    = DisjunctiveTrie(A_		)
									snake_case   :			Tuple						    = nested_token_ids

									snake_case   :			Union[str, Any]						    = self.trie.max_height
									snake_case   :			Optional[int]						    = []
									snake_case   :			Tuple						    = False



			def 				__lowercase					(			self							:				List[Any]		)							->					List[str]:
									snake_case   :			Tuple						    = self.trie.next_tokens(self.current_seq		)

									if len(A_		) == 0:
															return None
									else:
															return token_list



			def 				__lowercase					(			self							:				Union[str, Any]   ,	_lowercase							:				Tuple		)							->					List[str]:




									if not isinstance(A_   ,	A_		):
															raise ValueError(F'''`token_id` is supposed to be type `int`, but is {token_id} of type {type(A_		)}'''		)

									snake_case   :			Union[str, Any]						    = self.trie.next_tokens(self.current_seq		)

									return token_id in next_tokens



			def 				__lowercase					(			self							:				List[Any]   ,	_lowercase							:				Union[str, Any]		)							->					Tuple:




									if not isinstance(A_   ,	A_		):
															raise ValueError(F'''`token_id` is supposed to be type `int`, but is {token_id} of type {type(A_		)}'''		)

									snake_case   :			Tuple						    = False
									snake_case   :			List[str]						    = False
									snake_case   :			Tuple						    = False

									if self.does_advance(A_		):
															self.current_seq.append(A_		)
															snake_case   :			List[Any]						    = True
									else:
															snake_case   :			Any						    = True
															self.reset()

									snake_case   :			int						    = self.trie.reached_leaf(self.current_seq		)
									snake_case   :			Any						    = completed

									return stepped, completed, reset



			def 				__lowercase					(			self							:				int		)							->					Optional[Any]:
									snake_case   :			List[Any]						    = False
									snake_case   :			Any						    = []



			def 				__lowercase					(			self							:				Optional[Any]		)							->					Optional[int]:




									if self.completed:
															# since this can be completed without reaching max height
															return 0
									else:
															return self.seqlen - len(self.current_seq		)



			def 				__lowercase					(			self							:				Union[str, Any]   ,	_lowercase							:				Optional[int]=False		)							->					List[str]:
									snake_case   :			Optional[Any]						    = DisjunctiveConstraint(self.token_ids		)

									if stateful:
															snake_case   :			Optional[int]						    = self.seqlen
															snake_case   :			Tuple						    = self.current_seq
															snake_case   :			Tuple						    = self.completed

									return new_constraint



class       _a  :



			def __init__(			self							:				Union[str, Any]   ,	_lowercase							:				Tuple		)							->					Tuple:
									snake_case   :			Any						    = constraints

									# max # of steps required to fulfill a given constraint
									snake_case   :			Optional[int]						    = max([c.seqlen for c in constraints]		)
									snake_case   :			Any						    = len(A_		)
									snake_case   :			int						    = False

									self.init_state()



			def 				__lowercase					(			self							:				Tuple		)							->					List[str]:
									snake_case   :			Dict						    = []
									snake_case   :			Union[str, Any]						    = None
									snake_case   :			int						    = [constraint.copy(stateful=A_		) for constraint in self.constraints]



			def 				__lowercase					(			self							:				int		)							->					Union[str, Any]:
									snake_case   :			Tuple						    = 0
									if self.inprogress_constraint:
															# extra points for having a constraint mid-fulfilled
															add += self.max_seqlen - self.inprogress_constraint.remaining()

									return (len(self.complete_constraints		) * self.max_seqlen) + add



			def 				__lowercase					(			self							:				Optional[Any]		)							->					List[str]:
									snake_case   :			Optional[int]						    = []
									if self.inprogress_constraint is None:
															for constraint in self.pending_constraints:  # "pending" == "unfulfilled yet"
																					snake_case   :			Any						    = constraint.advance()
																					if isinstance(A_   ,	A_		):
																											token_list.append(A_		)
																					elif isinstance(A_   ,	A_		):
																											token_list.extend(A_		)
									else:
															snake_case   :			List[Any]						    = self.inprogress_constraint.advance()
															if isinstance(A_   ,	A_		):
																					token_list.append(A_		)
															elif isinstance(A_   ,	A_		):
																					token_list.extend(A_		)

									if len(A_		) == 0:
															return None
									else:
															return token_list



			def 				__lowercase					(			self							:				Tuple   ,	_lowercase							:				List[str]		)							->					Optional[int]:
									self.init_state()

									if token_ids is not None:
															for token in token_ids:
																					# completes or steps **one** constraint
																					snake_case   :			int						    = self.add(A_		)

																					# the entire list of constraints are fulfilled
																					if self.completed:
																											break



			def 				__lowercase					(			self							:				List[Any]   ,	_lowercase							:				int		)							->					Any:




									if not isinstance(A_   ,	A_		):
															raise ValueError(F'''`token_id` should be an `int`, but is `{token_id}`.'''		)

									snake_case   :			Tuple						    = False, False

									if self.completed:
															snake_case   :			Dict						    = True
															snake_case   :			Union[str, Any]						    = False
															return complete, stepped

									if self.inprogress_constraint is not None:
															# In the middle of fulfilling a constraint. If the `token_id` *does* makes an incremental progress to current
															# job, simply update the state

															snake_case   :			int						    = self.inprogress_constraint.update(A_		)
															if reset:
																					# 1. If the next token breaks the progress, then we must restart.
																					#     e.g. constraint = "I love pies" and sequence so far is "I love" but `token_id` == "books".

																					#     But that doesn't mean we self.init_state(), since we only reset the state for this particular
																					#     constraint, not the full list of constraints.

																					self.pending_constraints.append(self.inprogress_constraint.copy(stateful=A_		)		)
																					snake_case   :			Dict						    = None

															if complete:
																					# 2. If the next token completes the constraint, move it to completed list, set
																					#     inprogress to None. If there are no pending constraints either, then this full list of constraints
																					#     is complete.

																					self.complete_constraints.append(self.inprogress_constraint		)
																					snake_case   :			Optional[Any]						    = None

																					if len(self.pending_constraints		) == 0:
																											# we're done!
																											snake_case   :			List[Any]						    = True

									else:
															# Not in the middle of fulfilling a constraint. So does this `token_id` helps us step towards any of our list
															# of constraints?

															for cidx, pending_constraint in enumerate(self.pending_constraints		):
																					if pending_constraint.does_advance(A_		):
																											snake_case   :			Optional[Any]						    = pending_constraint.update(A_		)

																											if not stepped:
																																	raise Exception(
																																	    "`constraint.update(token_id)` is not yielding incremental progress, "
																																	    "even though `constraint.does_advance(token_id)` is true."		)

																											if complete:
																																	self.complete_constraints.append(A_		)
																																	snake_case   :			List[Any]						    = None

																											if not complete and stepped:
																																	snake_case   :			Tuple						    = pending_constraint

																											if complete or stepped:
																																	# If we made any progress at all, then it's at least not a "pending constraint".

																																	snake_case   :			Union[str, Any]						    = (
																																	    self.pending_constraints[:cidx] + self.pending_constraints[cidx + 1 :]
																																	)

																																	if len(self.pending_constraints		) == 0 and self.inprogress_constraint is None:
																																							# If there's no longer any pending after this and no inprogress either, then we must be
																																							# complete.

																																							snake_case   :			Any						    = True

																																	break  # prevent accidentally stepping through multiple constraints with just one token.

									return complete, stepped



			def 				__lowercase					(			self							:				Optional[Any]   ,	_lowercase							:				int=True		)							->					int:
									snake_case   :			List[Any]						    = ConstraintListState(self.constraints		)  # we actually never though self.constraints objects
									# throughout this process. So it's at initialization state.

									if stateful:
															snake_case   :			List[str]						    = [
															    constraint.copy(stateful=A_		) for constraint in self.complete_constraints
															]
															if self.inprogress_constraint is not None:
																					snake_case   :			Optional[Any]						    = self.inprogress_constraint.copy(stateful=A_		)
															snake_case   :			List[str]						    = [constraint.copy() for constraint in self.pending_constraints]

									return new_state





"""simple docstring"""




# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import torch

from ..models.speechta import SpeechTaForTextToSpeech, SpeechTaHifiGan, SpeechTaProcessor
from ..utils import is_datasets_available
from .base import PipelineTool


if is_datasets_available():
  from datasets import load_dataset


class       __magic_name__							(							SCREAMING_SNAKE_CASE__			):
       UpperCamelCase_ =		'''microsoft/speecht5_tts'''
       UpperCamelCase_ =		(
           '''This is a tool that reads an English text out loud. It takes an input named `text` which should contain the '''
           '''text to read (in English) and returns a waveform object containing the sound.'''
       )
       UpperCamelCase_ =		'''text_reader'''
       UpperCamelCase_ =		SpeechTaProcessor
       UpperCamelCase_ =		SpeechTaForTextToSpeech
       UpperCamelCase_ =		SpeechTaHifiGan

       UpperCamelCase_ =		['''text''']
       UpperCamelCase_ =		['''audio''']
       def 				lowercase_				(  self							)  ->						Union[str, Any]:





         """simple docstring"""




         if self.post_processor is None:
           _lowercase:      Tuple   			=  '''microsoft/speecht5_hifigan'''
         super().setup()
       def 				lowercase_				(  self			,					A_			,					A_=None							)  ->						Optional[int]:





         """simple docstring"""




         _lowercase:      Dict   			=  self.pre_processor(text=A_			,					return_tensors='''pt'''			,					truncation=A_							)

         if speaker_embeddings is None:
           if not is_datasets_available():
             raise ImportError('''Datasets needs to be installed if not passing speaker embeddings.'''							)

           _lowercase:      Union[str, Any]   			=  load_dataset('''Matthijs/cmu-arctic-xvectors'''			,					split='''validation'''							)
           _lowercase:      Optional[int]   			=  torch.tensor(embeddings_dataset[7305]['''xvector''']							).unsqueeze(0							)

         return {"input_ids": inputs["input_ids"], "speaker_embeddings": speaker_embeddings}
       def 				lowercase_				(  self			,					A_							)  ->						Optional[int]:





         """simple docstring"""




         with torch.no_grad():
           return self.model.generate_speech(**A_							)



       def 				lowercase_				(  self			,					A_							)  ->						Dict:





         """simple docstring"""




         with torch.no_grad():
           return self.post_processor(A_							).cpu().detach()
