from collections import deque
from math import floor
from random import random
from time import time







class __snake_case       :




   def __init__(					self    :       List[str]   ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__    							=   {}




   def 			__a		(					self    :       Optional[Any] ,			_lowercase    :       Optional[Any] ,			_lowercase    :       int ,			_lowercase    :       int=1   ):



     """simple docstring"""






     if self.graph.get(_lowercase   ):
       if self.graph[u].count([w, v]   ) == 0:
         self.graph[u].append([w, v]   )
     else:
       SCREAMING_SNAKE_CASE__    							=   [[w, v]]
     if not self.graph.get(_lowercase   ):
       SCREAMING_SNAKE_CASE__    							=   []




   def 			__a		(					self    :       Dict   ):



     """simple docstring"""






     return list(self.graph   )




   def 			__a		(					self    :       Union[str, Any] ,			_lowercase    :       Union[str, Any] ,			_lowercase    :       List[str]   ):



     """simple docstring"""






     if self.graph.get(_lowercase   ):
       for _ in self.graph[u]:
         if _[1] == v:
           self.graph[u].remove(_lowercase   )




   def 			__a		(					self    :       str ,			_lowercase    :       List[str]=-2 ,			_lowercase    :       Tuple=-1   ):



     """simple docstring"""






     if s == d:
       return []
     SCREAMING_SNAKE_CASE__    							=   []
     SCREAMING_SNAKE_CASE__    							=   []
     if s == -2:
       SCREAMING_SNAKE_CASE__    							=   list(self.graph   )[0]
     stack.append(_lowercase   )
     visited.append(_lowercase   )
     SCREAMING_SNAKE_CASE__    							=   s

     while True:
       # check if there is any non isolated nodes
       if len(self.graph[s]   ) != 0:
         SCREAMING_SNAKE_CASE__    							=   s
         for node in self.graph[s]:
           if visited.count(node[1]   ) < 1:
             if node[1] == d:
               visited.append(_lowercase   )
               return visited
             else:
               stack.append(node[1]   )
               visited.append(node[1]   )
               SCREAMING_SNAKE_CASE__    							=   node[1]
               break

            # check if all the children are visited
       if s == ss:
         stack.pop()
         if len(_lowercase   ) != 0:
           SCREAMING_SNAKE_CASE__    							=   stack[len(_lowercase   ) - 1]
       else:
         SCREAMING_SNAKE_CASE__    							=   ss

       # check if se have reached the starting point
       if len(_lowercase   ) == 0:
         return visited




   def 			__a		(					self    :       List[str] ,			_lowercase    :       Tuple=-1   ):



     """simple docstring"""






     if c == -1:
       SCREAMING_SNAKE_CASE__    							=   floor(random() * 1_00_00   ) + 10
     for i in range(_lowercase   ):
       # every vertex has max 100 edges
       for _ in range(floor(random() * 1_02   ) + 1   ):
         SCREAMING_SNAKE_CASE__    							=   floor(random() * c   ) + 1
         if n != i:
           self.add_pair(_lowercase ,			_lowercase ,			1   )




   def 			__a		(					self    :       Optional[int] ,			_lowercase    :       int=-2   ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__    							=   deque()
     SCREAMING_SNAKE_CASE__    							=   []
     if s == -2:
       SCREAMING_SNAKE_CASE__    							=   list(self.graph   )[0]
     d.append(_lowercase   )
     visited.append(_lowercase   )
     while d:
       SCREAMING_SNAKE_CASE__    							=   d.popleft()
       if len(self.graph[s]   ) != 0:
         for node in self.graph[s]:
           if visited.count(node[1]   ) < 1:
             d.append(node[1]   )
             visited.append(node[1]   )
     return visited




   def 			__a		(					self    :       str ,			_lowercase    :       Union[str, Any]   ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__    							=   0
     for x in self.graph:
       for y in self.graph[x]:
         if y[1] == u:
           count += 1
     return count




   def 			__a		(					self    :       List[Any] ,			_lowercase    :       List[str]   ):



     """simple docstring"""






     return len(self.graph[u]   )




   def 			__a		(					self    :       Tuple ,			_lowercase    :       Optional[int]=-2   ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__    							=   []
     SCREAMING_SNAKE_CASE__    							=   []
     if s == -2:
       SCREAMING_SNAKE_CASE__    							=   list(self.graph   )[0]
     stack.append(_lowercase   )
     visited.append(_lowercase   )
     SCREAMING_SNAKE_CASE__    							=   s
     SCREAMING_SNAKE_CASE__    							=   []

     while True:
       # check if there is any non isolated nodes
       if len(self.graph[s]   ) != 0:
         SCREAMING_SNAKE_CASE__    							=   s
         for node in self.graph[s]:
           if visited.count(node[1]   ) < 1:
             stack.append(node[1]   )
             visited.append(node[1]   )
             SCREAMING_SNAKE_CASE__    							=   node[1]
             break

            # check if all the children are visited
       if s == ss:
         sorted_nodes.append(stack.pop()   )
         if len(_lowercase   ) != 0:
           SCREAMING_SNAKE_CASE__    							=   stack[len(_lowercase   ) - 1]
       else:
         SCREAMING_SNAKE_CASE__    							=   ss

       # check if se have reached the starting point
       if len(_lowercase   ) == 0:
         return sorted_nodes




   def 			__a		(					self    :       int   ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__    							=   []
     SCREAMING_SNAKE_CASE__    							=   []
     SCREAMING_SNAKE_CASE__    							=   list(self.graph   )[0]
     stack.append(_lowercase   )
     visited.append(_lowercase   )
     SCREAMING_SNAKE_CASE__    							=   -2
     SCREAMING_SNAKE_CASE__    							=   []
     SCREAMING_SNAKE_CASE__    							=   s
     SCREAMING_SNAKE_CASE__    							=   False
     SCREAMING_SNAKE_CASE__    							=   set()

     while True:
       # check if there is any non isolated nodes
       if len(self.graph[s]   ) != 0:
         SCREAMING_SNAKE_CASE__    							=   s
         for node in self.graph[s]:
           if (
               visited.count(node[1]   ) > 0
               and node[1] != parent
               and indirect_parents.count(node[1]   ) > 0
               and not on_the_way_back
           ):
             SCREAMING_SNAKE_CASE__    							=   len(_lowercase   ) - 1
             while len_stack >= 0:
               if stack[len_stack] == node[1]:
                 anticipating_nodes.add(node[1]   )
                 break
               else:
                 anticipating_nodes.add(stack[len_stack]   )
                 len_stack -= 1
           if visited.count(node[1]   ) < 1:
             stack.append(node[1]   )
             visited.append(node[1]   )
             SCREAMING_SNAKE_CASE__    							=   node[1]
             break

            # check if all the children are visited
       if s == ss:
         stack.pop()
         SCREAMING_SNAKE_CASE__    							=   True
         if len(_lowercase   ) != 0:
           SCREAMING_SNAKE_CASE__    							=   stack[len(_lowercase   ) - 1]
       else:
         SCREAMING_SNAKE_CASE__    							=   False
         indirect_parents.append(_lowercase   )
         SCREAMING_SNAKE_CASE__    							=   s
         SCREAMING_SNAKE_CASE__    							=   ss

       # check if se have reached the starting point
       if len(_lowercase   ) == 0:
         return list(_lowercase   )




   def 			__a		(					self    :       Tuple   ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__    							=   []
     SCREAMING_SNAKE_CASE__    							=   []
     SCREAMING_SNAKE_CASE__    							=   list(self.graph   )[0]
     stack.append(_lowercase   )
     visited.append(_lowercase   )
     SCREAMING_SNAKE_CASE__    							=   -2
     SCREAMING_SNAKE_CASE__    							=   []
     SCREAMING_SNAKE_CASE__    							=   s
     SCREAMING_SNAKE_CASE__    							=   False
     SCREAMING_SNAKE_CASE__    							=   set()

     while True:
       # check if there is any non isolated nodes
       if len(self.graph[s]   ) != 0:
         SCREAMING_SNAKE_CASE__    							=   s
         for node in self.graph[s]:
           if (
               visited.count(node[1]   ) > 0
               and node[1] != parent
               and indirect_parents.count(node[1]   ) > 0
               and not on_the_way_back
           ):
             SCREAMING_SNAKE_CASE__    							=   len(_lowercase   ) - 1
             while len_stack_minus_one >= 0:
               if stack[len_stack_minus_one] == node[1]:
                 anticipating_nodes.add(node[1]   )
                 break
               else:
                 return True
           if visited.count(node[1]   ) < 1:
             stack.append(node[1]   )
             visited.append(node[1]   )
             SCREAMING_SNAKE_CASE__    							=   node[1]
             break

            # check if all the children are visited
       if s == ss:
         stack.pop()
         SCREAMING_SNAKE_CASE__    							=   True
         if len(_lowercase   ) != 0:
           SCREAMING_SNAKE_CASE__    							=   stack[len(_lowercase   ) - 1]
       else:
         SCREAMING_SNAKE_CASE__    							=   False
         indirect_parents.append(_lowercase   )
         SCREAMING_SNAKE_CASE__    							=   s
         SCREAMING_SNAKE_CASE__    							=   ss

       # check if se have reached the starting point
       if len(_lowercase   ) == 0:
         return False




   def 			__a		(					self    :       Optional[int] ,			_lowercase    :       Optional[Any]=-2 ,			_lowercase    :       Optional[int]=-1   ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__    							=   time()
     self.dfs(_lowercase ,			_lowercase   )
     SCREAMING_SNAKE_CASE__    							=   time()
     return end - begin




   def 			__a		(					self    :       str ,			_lowercase    :       Tuple=-2   ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__    							=   time()
     self.bfs(_lowercase   )
     SCREAMING_SNAKE_CASE__    							=   time()
     return end - begin







class __snake_case       :




   def __init__(					self    :       Tuple   ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__    							=   {}




   def 			__a		(					self    :       Optional[Any] ,			_lowercase    :       Optional[Any] ,			_lowercase    :       Dict ,			_lowercase    :       Tuple=1   ):



     """simple docstring"""






     if self.graph.get(_lowercase   ):
       # if there already is a edge
       if self.graph[u].count([w, v]   ) == 0:
         self.graph[u].append([w, v]   )
     else:
       # if u does not exist
       SCREAMING_SNAKE_CASE__    							=   [[w, v]]
     # add the other way
     if self.graph.get(_lowercase   ):
       # if there already is a edge
       if self.graph[v].count([w, u]   ) == 0:
         self.graph[v].append([w, u]   )
     else:
       # if u does not exist
       SCREAMING_SNAKE_CASE__    							=   [[w, u]]




   def 			__a		(					self    :       Optional[int] ,			_lowercase    :       List[str] ,			_lowercase    :       List[str]   ):



     """simple docstring"""






     if self.graph.get(_lowercase   ):
       for _ in self.graph[u]:
         if _[1] == v:
           self.graph[u].remove(_lowercase   )
        # the other way round
     if self.graph.get(_lowercase   ):
       for _ in self.graph[v]:
         if _[1] == u:
           self.graph[v].remove(_lowercase   )




   def 			__a		(					self    :       str ,			_lowercase    :       Optional[Any]=-2 ,			_lowercase    :       Optional[Any]=-1   ):



     """simple docstring"""






     if s == d:
       return []
     SCREAMING_SNAKE_CASE__    							=   []
     SCREAMING_SNAKE_CASE__    							=   []
     if s == -2:
       SCREAMING_SNAKE_CASE__    							=   list(self.graph   )[0]
     stack.append(_lowercase   )
     visited.append(_lowercase   )
     SCREAMING_SNAKE_CASE__    							=   s

     while True:
       # check if there is any non isolated nodes
       if len(self.graph[s]   ) != 0:
         SCREAMING_SNAKE_CASE__    							=   s
         for node in self.graph[s]:
           if visited.count(node[1]   ) < 1:
             if node[1] == d:
               visited.append(_lowercase   )
               return visited
             else:
               stack.append(node[1]   )
               visited.append(node[1]   )
               SCREAMING_SNAKE_CASE__    							=   node[1]
               break

            # check if all the children are visited
       if s == ss:
         stack.pop()
         if len(_lowercase   ) != 0:
           SCREAMING_SNAKE_CASE__    							=   stack[len(_lowercase   ) - 1]
       else:
         SCREAMING_SNAKE_CASE__    							=   ss

       # check if se have reached the starting point
       if len(_lowercase   ) == 0:
         return visited




   def 			__a		(					self    :       List[str] ,			_lowercase    :       List[str]=-1   ):



     """simple docstring"""






     if c == -1:
       SCREAMING_SNAKE_CASE__    							=   floor(random() * 1_00_00   ) + 10
     for i in range(_lowercase   ):
       # every vertex has max 100 edges
       for _ in range(floor(random() * 1_02   ) + 1   ):
         SCREAMING_SNAKE_CASE__    							=   floor(random() * c   ) + 1
         if n != i:
           self.add_pair(_lowercase ,			_lowercase ,			1   )




   def 			__a		(					self    :       Optional[int] ,			_lowercase    :       Dict=-2   ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__    							=   deque()
     SCREAMING_SNAKE_CASE__    							=   []
     if s == -2:
       SCREAMING_SNAKE_CASE__    							=   list(self.graph   )[0]
     d.append(_lowercase   )
     visited.append(_lowercase   )
     while d:
       SCREAMING_SNAKE_CASE__    							=   d.popleft()
       if len(self.graph[s]   ) != 0:
         for node in self.graph[s]:
           if visited.count(node[1]   ) < 1:
             d.append(node[1]   )
             visited.append(node[1]   )
     return visited




   def 			__a		(					self    :       Dict ,			_lowercase    :       Dict   ):



     """simple docstring"""






     return len(self.graph[u]   )




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



     """simple docstring"""






     SCREAMING_SNAKE_CASE__    							=   []
     SCREAMING_SNAKE_CASE__    							=   []
     SCREAMING_SNAKE_CASE__    							=   list(self.graph   )[0]
     stack.append(_lowercase   )
     visited.append(_lowercase   )
     SCREAMING_SNAKE_CASE__    							=   -2
     SCREAMING_SNAKE_CASE__    							=   []
     SCREAMING_SNAKE_CASE__    							=   s
     SCREAMING_SNAKE_CASE__    							=   False
     SCREAMING_SNAKE_CASE__    							=   set()

     while True:
       # check if there is any non isolated nodes
       if len(self.graph[s]   ) != 0:
         SCREAMING_SNAKE_CASE__    							=   s
         for node in self.graph[s]:
           if (
               visited.count(node[1]   ) > 0
               and node[1] != parent
               and indirect_parents.count(node[1]   ) > 0
               and not on_the_way_back
           ):
             SCREAMING_SNAKE_CASE__    							=   len(_lowercase   ) - 1
             while len_stack >= 0:
               if stack[len_stack] == node[1]:
                 anticipating_nodes.add(node[1]   )
                 break
               else:
                 anticipating_nodes.add(stack[len_stack]   )
                 len_stack -= 1
           if visited.count(node[1]   ) < 1:
             stack.append(node[1]   )
             visited.append(node[1]   )
             SCREAMING_SNAKE_CASE__    							=   node[1]
             break

            # check if all the children are visited
       if s == ss:
         stack.pop()
         SCREAMING_SNAKE_CASE__    							=   True
         if len(_lowercase   ) != 0:
           SCREAMING_SNAKE_CASE__    							=   stack[len(_lowercase   ) - 1]
       else:
         SCREAMING_SNAKE_CASE__    							=   False
         indirect_parents.append(_lowercase   )
         SCREAMING_SNAKE_CASE__    							=   s
         SCREAMING_SNAKE_CASE__    							=   ss

       # check if se have reached the starting point
       if len(_lowercase   ) == 0:
         return list(_lowercase   )




   def 			__a		(					self    :       Optional[Any]   ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__    							=   []
     SCREAMING_SNAKE_CASE__    							=   []
     SCREAMING_SNAKE_CASE__    							=   list(self.graph   )[0]
     stack.append(_lowercase   )
     visited.append(_lowercase   )
     SCREAMING_SNAKE_CASE__    							=   -2
     SCREAMING_SNAKE_CASE__    							=   []
     SCREAMING_SNAKE_CASE__    							=   s
     SCREAMING_SNAKE_CASE__    							=   False
     SCREAMING_SNAKE_CASE__    							=   set()

     while True:
       # check if there is any non isolated nodes
       if len(self.graph[s]   ) != 0:
         SCREAMING_SNAKE_CASE__    							=   s
         for node in self.graph[s]:
           if (
               visited.count(node[1]   ) > 0
               and node[1] != parent
               and indirect_parents.count(node[1]   ) > 0
               and not on_the_way_back
           ):
             SCREAMING_SNAKE_CASE__    							=   len(_lowercase   ) - 1
             while len_stack_minus_one >= 0:
               if stack[len_stack_minus_one] == node[1]:
                 anticipating_nodes.add(node[1]   )
                 break
               else:
                 return True
           if visited.count(node[1]   ) < 1:
             stack.append(node[1]   )
             visited.append(node[1]   )
             SCREAMING_SNAKE_CASE__    							=   node[1]
             break

            # check if all the children are visited
       if s == ss:
         stack.pop()
         SCREAMING_SNAKE_CASE__    							=   True
         if len(_lowercase   ) != 0:
           SCREAMING_SNAKE_CASE__    							=   stack[len(_lowercase   ) - 1]
       else:
         SCREAMING_SNAKE_CASE__    							=   False
         indirect_parents.append(_lowercase   )
         SCREAMING_SNAKE_CASE__    							=   s
         SCREAMING_SNAKE_CASE__    							=   ss

       # check if se have reached the starting point
       if len(_lowercase   ) == 0:
         return False




   def 			__a		(					self    :       Dict   ):



     """simple docstring"""






     return list(self.graph   )




   def 			__a		(					self    :       Optional[Any] ,			_lowercase    :       Tuple=-2 ,			_lowercase    :       Optional[Any]=-1   ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__    							=   time()
     self.dfs(_lowercase ,			_lowercase   )
     SCREAMING_SNAKE_CASE__    							=   time()
     return end - begin




   def 			__a		(					self    :       Union[str, Any] ,			_lowercase    :       Union[str, Any]=-2   ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__    							=   time()
     self.bfs(_lowercase   )
     SCREAMING_SNAKE_CASE__    							=   time()
     return end - begin

from typing import List, Optional

import numpy as np

from ...processing_utils import ProcessorMixin
from ...utils import to_numpy







class __snake_case       (		lowerCamelCase_	):
   lowerCAmelCase_														=							"EncodecFeatureExtractor"
   lowerCAmelCase_														=							("T5Tokenizer", "T5TokenizerFast")




   def __init__(					self    :       List[Any] ,			_lowercase    :       int ,			_lowercase    :       Any   ):



     """simple docstring"""






     super().__init__(_lowercase ,			_lowercase   )
     SCREAMING_SNAKE_CASE__    							=   self.feature_extractor
     SCREAMING_SNAKE_CASE__    							=   False




   def 			__a		(					self    :       Tuple ,			_lowercase    :       str=None ,			_lowercase    :       int=None ,			_lowercase    :       Any=True   ):



     """simple docstring"""






     return self.tokenizer.get_decoder_prompt_ids(task=_lowercase ,			language=_lowercase ,			no_timestamps=_lowercase   )




   def __call__(					self    :       Tuple ,			*_lowercase    :       Tuple ,			**_lowercase    :       Union[str, Any]   ):



     """simple docstring"""






     if self._in_target_context_manager:
       return self.current_processor(*_lowercase ,			**_lowercase   )

     SCREAMING_SNAKE_CASE__    							=   kwargs.pop("""audio""" ,			_lowercase   )
     SCREAMING_SNAKE_CASE__    							=   kwargs.pop("""sampling_rate""" ,			_lowercase   )
     SCREAMING_SNAKE_CASE__    							=   kwargs.pop("""text""" ,			_lowercase   )
     if len(_lowercase   ) > 0:
       SCREAMING_SNAKE_CASE__    							=   args[0]
       SCREAMING_SNAKE_CASE__    							=   args[1:]

     if audio is None and text is None:
       raise ValueError("""You need to specify either an `audio` or `text` input to process."""   )

     if text is not None:
       SCREAMING_SNAKE_CASE__    							=   self.tokenizer(_lowercase ,			**_lowercase   )

     if audio is not None:
       SCREAMING_SNAKE_CASE__    							=   self.feature_extractor(_lowercase ,			*_lowercase ,			sampling_rate=_lowercase ,			**_lowercase   )

     if audio is None:
       return inputs

     elif text is None:
       return audio_inputs

     else:
       SCREAMING_SNAKE_CASE__    							=   audio_inputs["""input_values"""]
       if "padding_mask" in audio_inputs:
         SCREAMING_SNAKE_CASE__    							=   audio_inputs["""padding_mask"""]
       return inputs




   def 			__a		(					self    :       Dict ,			*_lowercase    :       Any ,			**_lowercase    :       Optional[Any]   ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__    							=   kwargs.pop("""audio""" ,			_lowercase   )
     SCREAMING_SNAKE_CASE__    							=   kwargs.pop("""padding_mask""" ,			_lowercase   )

     if len(_lowercase   ) > 0:
       SCREAMING_SNAKE_CASE__    							=   args[0]
       SCREAMING_SNAKE_CASE__    							=   args[1:]

     if audio_values is not None:
       return self._decode_audio(_lowercase ,			padding_mask=_lowercase   )
     else:
       return self.tokenizer.batch_decode(*_lowercase ,			**_lowercase   )




   def 			__a		(					self    :       List[str] ,			*_lowercase    :       Tuple ,			**_lowercase    :       Optional[Any]   ):



     """simple docstring"""






     return self.tokenizer.decode(*_lowercase ,			**_lowercase   )




   def 			__a		(					self    :       List[str] ,			_lowercase    :       Tuple ,			_lowercase    :       Optional = None   ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__    							=   to_numpy(_lowercase   )
     SCREAMING_SNAKE_CASE__							,  SCREAMING_SNAKE_CASE__							,  SCREAMING_SNAKE_CASE__    							=   audio_values.shape

     if padding_mask is None:
       return list(_lowercase   )

     SCREAMING_SNAKE_CASE__    							=   to_numpy(_lowercase   )

     # match the sequence length of the padding mask to the generated audio arrays by padding with the **non-padding**
     # token (so that the generated audio values are **not** treated as padded tokens)
     SCREAMING_SNAKE_CASE__    							=   seq_len - padding_mask.shape[-1]
     SCREAMING_SNAKE_CASE__    							=   1 - self.feature_extractor.padding_value
     SCREAMING_SNAKE_CASE__    							=   np.pad(_lowercase ,			((0, 0), (0, difference)) ,			"""constant""" ,			constant_values=_lowercase   )

     SCREAMING_SNAKE_CASE__    							=   audio_values.tolist()
     for i in range(_lowercase   ):
       SCREAMING_SNAKE_CASE__    							=   np.asarray(audio_values[i]   )[
           padding_mask[i][None, :] != self.feature_extractor.padding_value
       ]
       SCREAMING_SNAKE_CASE__    							=   sliced_audio.reshape(_lowercase ,			-1   )

     return audio_values
