
'''simple docstring'''
from __future__ import annotations

from collections import defaultdict
from dataclasses import dataclass


@dataclass
class        SCREAMING_SNAKE_CASE__	:
				lowerCAmelCase_			       =				42
				lowerCAmelCase_			       =				None
				lowerCAmelCase_			       =				None







def 						A_(			):
							return TreeNode(3						,			TreeNode(9)						,			TreeNode(20						,			TreeNode(15)						,			TreeNode(7)))







def 						A_(			A		:						TreeNode):

							def depth_first_search(
							    A		:						TreeNode | None						,			A		:						int						,			A		:						list[int]) -> None:
														if not root:
																					return

														if depth == len(A):
																					right_view.append(root.val)

														depth_first_search(root.right						,			depth + 1						,			A)
														depth_first_search(root.left						,			depth + 1						,			A)

							UpperCamelCase					       =			[]
							if not root:
														return right_view

							depth_first_search(A						,			0						,			A)
							return right_view







def 						A_(			A		:						TreeNode):

							def depth_first_search(
							    A		:						TreeNode | None						,			A		:						int						,			A		:						list[int]) -> None:
														if not root:
																					return

														if depth == len(A):
																					left_view.append(root.val)

														depth_first_search(root.left						,			depth + 1						,			A)
														depth_first_search(root.right						,			depth + 1						,			A)

							UpperCamelCase					       =			[]
							if not root:
														return left_view

							depth_first_search(A						,			0						,			A)
							return left_view







def 						A_(			A		:						TreeNode):

							def breadth_first_search(A		:						TreeNode						,			A		:						list[int]) -> None:
														UpperCamelCase					       =			[(root, 0)]
														UpperCamelCase					       =			defaultdict(A)

														while queue:
																					UpperCamelCase					       =			queue.pop(0)
																					UpperCamelCase       ,     UpperCamelCase					       =			first

																					lookup[hd].append(node.val)

																					if node.left:
																												queue.append((node.left, hd - 1))
																					if node.right:
																												queue.append((node.right, hd + 1))

														for pair in sorted(lookup.items()						,			key=lambda A: each[0]):
																					top_view.append(pair[1][0])

							UpperCamelCase					       =			[]
							if not root:
														return top_view

							breadth_first_search(A						,			A)
							return top_view







def 						A_(			A		:						TreeNode):
							from collections import defaultdict

							def breadth_first_search(A		:						TreeNode						,			A		:						list[int]) -> None:
														UpperCamelCase					       =			[(root, 0)]
														UpperCamelCase					       =			defaultdict(A)

														while queue:
																					UpperCamelCase					       =			queue.pop(0)
																					UpperCamelCase       ,     UpperCamelCase					       =			first
																					lookup[hd].append(node.val)

																					if node.left:
																												queue.append((node.left, hd - 1))
																					if node.right:
																												queue.append((node.right, hd + 1))

														for pair in sorted(lookup.items()						,			key=lambda A: each[0]):
																					bottom_view.append(pair[1][-1])

							UpperCamelCase					       =			[]
							if not root:
														return bottom_view

							breadth_first_search(A						,			A)
							return bottom_view


if __name__ == "__main__":
						import doctest

						doctest.testmod()






'''simple docstring'''
import copy

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


lowerCAmelCase :  Union[str, Any]      =      logging.get_logger(__name__)

lowerCAmelCase :  List[Any]      =      {
    '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        SCREAMING_SNAKE_CASE__	(			snake_case_):
				lowerCAmelCase_			       =				"""musicgen_decoder"""
				lowerCAmelCase_			       =				["""past_key_values"""]







				def __init__(    self		,							A_=2048		,							A_=2048		,							A_=24		,							A_=4096		,							A_=16		,							A_=0.0		,							A_=True		,							A_="gelu"		,							A_=1024		,							A_=0.1		,							A_=0.0		,							A_=0.0		,							A_=0.02		,							A_=False		,							A_=4		,							A_=2048		,							A_=2048		,							A_=None		,							A_=False		,							**A_		,							)->						Any:







											'''simple docstring'''






											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=A_		,							bos_token_id=A_		,							eos_token_id=A_		,							tie_word_embeddings=A_		,							**A_		,							)


class        SCREAMING_SNAKE_CASE__	(			snake_case_):
				lowerCAmelCase_			       =				"""musicgen"""
				lowerCAmelCase_			       =				True







				def __init__(    self		,							**A_			)->						Union[str, Any]:







											'''simple docstring'''






											super().__init__(**A_			)
											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(A_		,							**A_			)
											UpperCamelCase					       =			AutoConfig.for_model(A_		,							**A_			)
											UpperCamelCase					       =			MusicgenDecoderConfig(**A_			)
											UpperCamelCase					       =			True







				@classmethod
				def 		UpperCAmelCase_  (    cls		,							A_		,							A_		,							A_		,							**A_		,							)->						Tuple:







											'''simple docstring'''






											return cls(
											    text_encoder=text_encoder_config.to_dict()		,							audio_encoder=audio_encoder_config.to_dict()		,							decoder=decoder_config.to_dict()		,							**A_		,							)







				def 		UpperCAmelCase_  (    self			)->						Optional[Any]:







											'''simple docstring'''






											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




