



import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto.configuration_auto import AutoConfig


__A				    =						logging.get_logger(__name__)

__A				    =						{
    '''facebook/musicgen-small''': '''https://huggingface.co/facebook/musicgen-small/resolve/main/config.json''',
    # See all Musicgen models at https://huggingface.co/models?filter=musicgen
}






class 		lowercase						( lowerCAmelCase__):






	"""simple docstring"""


	a__      :					List[Any]		   =							"musicgen_decoder"
	a__      :					Union[str, Any]		   =							["past_key_values"]




	def __init__(	self	:						List[Any]						,  __UpperCAmelCase	:						Optional[int]=2_048						,  __UpperCAmelCase	:						List[Any]=2_048						,  __UpperCAmelCase	:						List[Any]=24						,  __UpperCAmelCase	:						Dict=4_096						,  __UpperCAmelCase	:						Tuple=16						,  __UpperCAmelCase	:						Optional[Any]=0.0						,  __UpperCAmelCase	:						Dict=True						,  __UpperCAmelCase	:						Tuple="gelu"						,  __UpperCAmelCase	:						Dict=1_024						,  __UpperCAmelCase	:						Any=0.1						,  __UpperCAmelCase	:						Optional[int]=0.0						,  __UpperCAmelCase	:						Optional[int]=0.0						,  __UpperCAmelCase	:						Dict=0.02						,  __UpperCAmelCase	:						str=False						,  __UpperCAmelCase	:						Any=4						,  __UpperCAmelCase	:						Optional[Any]=2_048						,  __UpperCAmelCase	:						Union[str, Any]=2_048						,  __UpperCAmelCase	:						str=None						,  __UpperCAmelCase	:						Any=False						,  **__UpperCAmelCase	:						Dict						,  )			-> str:
							UpperCAmelCase_=   vocab_size
							UpperCAmelCase_=   max_position_embeddings
							UpperCAmelCase_=   hidden_size
							UpperCAmelCase_=   ffn_dim
							UpperCAmelCase_=   num_hidden_layers
							UpperCAmelCase_=   num_attention_heads
							UpperCAmelCase_=   dropout
							UpperCAmelCase_=   attention_dropout
							UpperCAmelCase_=   activation_dropout
							UpperCAmelCase_=   activation_function
							UpperCAmelCase_=   initializer_factor
							UpperCAmelCase_=   layerdrop
							UpperCAmelCase_=   use_cache
							UpperCAmelCase_=   scale_embedding  # scale factor will be sqrt(d_model) if True
							UpperCAmelCase_=   num_codebooks
							super().__init__(
							    pad_token_id=_lowerCamelCase						,  bos_token_id=_lowerCamelCase						,  eos_token_id=_lowerCamelCase						,  tie_word_embeddings=_lowerCamelCase						,  **_lowerCamelCase						,  )






class 		lowercase						( lowerCAmelCase__):






	"""simple docstring"""


	a__      :					Dict		   =							"musicgen"
	a__      :					List[Any]		   =							True




	def __init__(	self	:						int						,  **__UpperCAmelCase	:						Optional[int]     )			-> Optional[Any]:
							super().__init__(**_lowerCamelCase     )
							if "text_encoder" not in kwargs or "audio_encoder" not in kwargs or "decoder" not in kwargs:
													raise ValueError("""Config has to be initialized with text_encoder, audio_encoder and decoder config"""     )

							UpperCAmelCase_=   kwargs.pop("""text_encoder"""     )
							UpperCAmelCase_=   text_encoder_config.pop("""model_type"""     )

							UpperCAmelCase_=   kwargs.pop("""audio_encoder"""     )
							UpperCAmelCase_=   audio_encoder_config.pop("""model_type"""     )

							UpperCAmelCase_=   kwargs.pop("""decoder"""     )

							UpperCAmelCase_=   AutoConfig.for_model(_lowerCamelCase						,  **_lowerCamelCase     )
							UpperCAmelCase_=   AutoConfig.for_model(_lowerCamelCase						,  **_lowerCamelCase     )
							UpperCAmelCase_=   MusicgenDecoderConfig(**_lowerCamelCase     )
							UpperCAmelCase_=   True




	@classmethod
	def   _SCREAMING_SNAKE_CASE		(	cls	:						str						,  __UpperCAmelCase	:						Tuple						,  __UpperCAmelCase	:						Optional[Any]						,  __UpperCAmelCase	:						Tuple						,  **__UpperCAmelCase	:						Dict						,  )			-> int:
							return cls(
							    text_encoder=text_encoder_config.to_dict()						,  audio_encoder=audio_encoder_config.to_dict()						,  decoder=decoder_config.to_dict()						,  **_lowerCamelCase						,  )




	def   _SCREAMING_SNAKE_CASE		(	self	:						Optional[Any]     )			-> Tuple:
							UpperCAmelCase_=   copy.deepcopy(self.__dict__     )
							UpperCAmelCase_=   self.text_encoder.to_dict()
							UpperCAmelCase_=   self.audio_encoder.to_dict()
							UpperCAmelCase_=   self.decoder.to_dict()
							UpperCAmelCase_=   self.__class__.model_type
							return output











'''simple docstring'''



class 							__lowercase				:







	'''simple docstring'''

	def __init__(self   ,_lowerCamelCase       )							->							Optional[Any]:







				'''simple docstring'''





				__lowercase   =							val
				# Number of nodes in left subtree
				__lowercase   =							0
				__lowercase   =							None
				__lowercase   =							None
				__lowercase   =							None


	def   _UpperCAmelCase   (self   ,_lowerCamelCase       )							->							Tuple:







				'''simple docstring'''





				assert self.left_tree_size == other.left_tree_size, "Unequal Sizes of Blocks"

				if self.val < other.val:
							__lowercase   =							self.right
							__lowercase   =							None
							if self.right:
										__lowercase   =							other
							__lowercase   =							other
							__lowercase   =							self.left_tree_size * 2 + 1
							return self
				else:
							__lowercase   =							other.right
							__lowercase   =							None
							if other.right:
										__lowercase   =							self
							__lowercase   =							self
							__lowercase   =							other.left_tree_size * 2 + 1
							return other






class 							__lowercase				:







	'''simple docstring'''

	def __init__(self   ,_lowerCamelCase=None   ,_lowerCamelCase=None   ,_lowerCamelCase=0       )							->							int:







				'''simple docstring'''





				__lowercase   =							heap_size
				__lowercase   =							bottom_root
				__lowercase   =							min_node


	def   _UpperCAmelCase   (self   ,_lowerCamelCase       )							->							Tuple:







				'''simple docstring'''





				if other.size == 0:
							return None
				if self.size == 0:
							__lowercase   =							other.size
							__lowercase   =							other.bottom_root
							__lowercase   =							other.min_node
							return None
				# Update size
				__lowercase   =							self.size + other.size

				# Update min.node
				if self.min_node.val > other.min_node.val:
							__lowercase   =							other.min_node
				# Merge

				# Order roots by left_subtree_size
				__lowercase   =							[]
				__lowercase  ,						__lowercase   =							self.bottom_root, other.bottom_root
				while i or j:
							if i and ((not j) or i.left_tree_size < j.left_tree_size):
										combined_roots_list.append((i, True)       )
										__lowercase   =							i.parent
							else:
										combined_roots_list.append((j, False)       )
										__lowercase   =							j.parent
        # Insert links between them
				for i in range(len(_lowerCamelCase       ) - 1       ):
							if combined_roots_list[i][1] != combined_roots_list[i + 1][1]:
										__lowercase   =							combined_roots_list[i + 1][0]
										__lowercase   =							combined_roots_list[i][0]
        # Consecutively merge roots with same left_tree_size
				__lowercase   =							combined_roots_list[0][0]
				while i.parent:
							if (
							    (i.left_tree_size == i.parent.left_tree_size) and (not i.parent.parent)
							) or (
							    i.left_tree_size == i.parent.left_tree_size
							    and i.left_tree_size != i.parent.parent.left_tree_size
							):
										# Neighbouring Nodes
										__lowercase   =							i.left
										__lowercase   =							i.parent.parent

										# Merging trees
										__lowercase   =							i.merge_trees(i.parent       )

										# Updating links
										__lowercase   =							previous_node
										__lowercase   =							next_node
										if previous_node:
													__lowercase   =							i
										if next_node:
													__lowercase   =							i
							else:
										__lowercase   =							i.parent
        # Updating self.bottom_root
				while i.left:
							__lowercase   =							i.left
				__lowercase   =							i

				# Update other
				__lowercase   =							self.size
				__lowercase   =							self.bottom_root
				__lowercase   =							self.min_node

				# Return the merged heap
				return self


	def   _UpperCAmelCase   (self   ,_lowerCamelCase       )							->							Dict:







				'''simple docstring'''





				if self.size == 0:
							__lowercase   =							Node(_lowerCamelCase       )
							__lowercase   =							1
							__lowercase   =							self.bottom_root
				else:
							# Create new node
							__lowercase   =							Node(_lowerCamelCase       )

							# Update size
							self.size += 1

							# update min_node
							if val < self.min_node.val:
										__lowercase   =							new_node
							# Put new_node as a bottom_root in heap
							__lowercase   =							new_node
							__lowercase   =							self.bottom_root
							__lowercase   =							new_node

							# Consecutively merge roots with same left_tree_size
							while (
							    self.bottom_root.parent
							    and self.bottom_root.left_tree_size
							    == self.bottom_root.parent.left_tree_size
							):
										# Next node
										__lowercase   =							self.bottom_root.parent.parent

										# Merge
										__lowercase   =							self.bottom_root.merge_trees(self.bottom_root.parent       )

										# Update Links
										__lowercase   =							next_node
										__lowercase   =							None
										if next_node:
													__lowercase   =							self.bottom_root


	def   _UpperCAmelCase   (self       )							->							Union[str, Any]:







				'''simple docstring'''





				return self.min_node.val


	def   _UpperCAmelCase   (self       )							->							List[Any]:







				'''simple docstring'''





				return self.size == 0


	def   _UpperCAmelCase   (self       )							->							Union[str, Any]:







				'''simple docstring'''





				__lowercase   =							self.min_node.val

				# Last element in heap corner case
				if self.size == 1:
							# Update size
							__lowercase   =							0

							# Update bottom root
							__lowercase   =							None

							# Update min_node
							__lowercase   =							None

							return min_value
				# No right subtree corner case
				# The structure of the tree implies that this should be the bottom root
				# and there is at least one other root
				if self.min_node.right is None:
							# Update size
							self.size -= 1

							# Update bottom root
							__lowercase   =							self.bottom_root.parent
							__lowercase   =							None

							# Update min_node
							__lowercase   =							self.bottom_root
							__lowercase   =							self.bottom_root.parent
							while i:
										if i.val < self.min_node.val:
													__lowercase   =							i
										__lowercase   =							i.parent
							return min_value
				# General case
				# Find the BinomialHeap of the right subtree of min_node
				__lowercase   =							self.min_node.right
				__lowercase   =							None
				__lowercase   =							bottom_of_new
				__lowercase   =							1

				# Size, min_node and bottom_root
				while bottom_of_new.left:
							__lowercase   =							size_of_new * 2 + 1
							__lowercase   =							bottom_of_new.left
							if bottom_of_new.val < min_of_new.val:
										__lowercase   =							bottom_of_new
        # Corner case of single root on top left path
				if (not self.min_node.left) and (not self.min_node.parent):
							__lowercase   =							size_of_new
							__lowercase   =							bottom_of_new
							__lowercase   =							min_of_new
							# print("Single root, multiple nodes case")
							return min_value
				# Remaining cases
				# Construct heap of right subtree
				__lowercase   =							BinomialHeap(
				    bottom_root=_lowerCamelCase   ,min_node=_lowerCamelCase   ,heap_size=_lowerCamelCase       )

				# Update size
				__lowercase   =							self.size - 1 - size_of_new

				# Neighbour nodes
				__lowercase   =							self.min_node.left
				__lowercase   =							self.min_node.parent

				# Initialize new bottom_root and min_node
				__lowercase   =							previous_node or next_node
				__lowercase   =							next_node

				# Update links of previous_node and search below for new min_node and
				# bottom_root
				if previous_node:
							__lowercase   =							next_node

							# Update bottom_root and search for min_node below
							__lowercase   =							previous_node
							__lowercase   =							previous_node
							while self.bottom_root.left:
										__lowercase   =							self.bottom_root.left
										if self.bottom_root.val < self.min_node.val:
													__lowercase   =							self.bottom_root
				if next_node:
							__lowercase   =							previous_node

							# Search for new min_node above min_node
							__lowercase   =							next_node
							while i:
										if i.val < self.min_node.val:
													__lowercase   =							i
										__lowercase   =							i.parent
        # Merge heaps
				self.merge_heaps(_lowerCamelCase       )

				return min_value


	def   _UpperCAmelCase   (self       )							->							str:







				'''simple docstring'''





				__lowercase   =							self.bottom_root
				while top_root.parent:
							__lowercase   =							top_root.parent
				# preorder
				__lowercase   =							[]
				self.__traversal(_lowerCamelCase   ,_lowerCamelCase       )
				return heap_pre_order


	def   _UpperCAmelCase   (self   ,_lowerCamelCase   ,_lowerCamelCase   ,_lowerCamelCase=0       )							->							str:







				'''simple docstring'''





				if curr_node:
							preorder.append((curr_node.val, level)       )
							self.__traversal(curr_node.left   ,_lowerCamelCase   ,level + 1       )
							self.__traversal(curr_node.right   ,_lowerCamelCase   ,level + 1       )
				else:
							preorder.append(('''#''', level)       )


	def __str__(self       )							->							List[str]:







				'''simple docstring'''





				if self.is_empty():
							return ""
				__lowercase   =							self.pre_order()

				return "\n".join(('''-''' * level + str(_lowerCamelCase       )) for value, level in preorder_heap       )


# Unit Tests
if __name__ == "__main__":
	import doctest

	doctest.testmod()





