
import torch
from torch import nn

from ...configuration_utils import ConfigMixin, register_to_config
from ...models import ModelMixin
class 					lowercase__(							UpperCAmelCase					,		UpperCAmelCase				):



	"""simple docstring"""




	@register_to_config
	def __init__(			self    :     str			,				*,
	    SCREAMING_SNAKE_CASE_    :     int = 4			,				SCREAMING_SNAKE_CASE_    :     int = 7_6_8			,				SCREAMING_SNAKE_CASE_    :     int			,				SCREAMING_SNAKE_CASE_    :     Tuple			,				)			->	Tuple:
					super().__init__()

					lowercase_	    =   nn.Parameter(torch.zeros(SCREAMING_SNAKE_CASE_			)			)

					# parameters for additional clip time embeddings
					lowercase_	    =   nn.Linear(SCREAMING_SNAKE_CASE_			,				SCREAMING_SNAKE_CASE_			)
					lowercase_	    =   nn.Linear(SCREAMING_SNAKE_CASE_			,				SCREAMING_SNAKE_CASE_			)

					# parameters for encoder hidden states
					lowercase_	    =   clip_extra_context_tokens
					lowercase_	    =   nn.Linear(
					    SCREAMING_SNAKE_CASE_			,				self.clip_extra_context_tokens * cross_attention_dim			)
					lowercase_	    =   nn.Linear(SCREAMING_SNAKE_CASE_			,				SCREAMING_SNAKE_CASE_			)
					lowercase_	    =   nn.LayerNorm(SCREAMING_SNAKE_CASE_			)




	def 		_lowercase    (			self    :     Optional[int]			,				*, SCREAMING_SNAKE_CASE_    :     Optional[Any]			,				SCREAMING_SNAKE_CASE_    :     List[Any]			,				SCREAMING_SNAKE_CASE_    :     Dict			,				SCREAMING_SNAKE_CASE_    :     Dict			)			->	List[Any]:
					if do_classifier_free_guidance:
									# Add the classifier free guidance embeddings to the image embeddings
									lowercase_	    =   image_embeddings.shape[0]
									lowercase_	    =   self.learned_classifier_free_guidance_embeddings.unsqueeze(0			)
									lowercase_	    =   classifier_free_guidance_embeddings.expand(
									    SCREAMING_SNAKE_CASE_			,				-1			)
									lowercase_	    =   torch.cat([classifier_free_guidance_embeddings, image_embeddings]			,				dim=0			)

					# The image embeddings batch size and the text embeddings batch size are equal
					assert image_embeddings.shape[0] == prompt_embeds.shape[0]

					lowercase_	    =   prompt_embeds.shape[0]

					# "Specifically, we modify the architecture described in Nichol et al. (2021) by projecting and
					# adding CLIP embeddings to the existing timestep embedding, ...
					lowercase_	    =   self.embedding_proj(SCREAMING_SNAKE_CASE_			)
					lowercase_	    =   self.clip_image_embeddings_project_to_time_embeddings(SCREAMING_SNAKE_CASE_			)
					lowercase_	    =   time_projected_image_embeddings + time_projected_prompt_embeds

					# ... and by projecting CLIP embeddings into four
					# extra tokens of context that are concatenated to the sequence of outputs from the GLIDE text encoder"
					lowercase_	    =   self.clip_extra_context_tokens_proj(SCREAMING_SNAKE_CASE_			)
					lowercase_	    =   clip_extra_context_tokens.reshape(SCREAMING_SNAKE_CASE_			,				-1			,				self.clip_extra_context_tokens			)
					lowercase_	    =   clip_extra_context_tokens.permute(0			,				2			,				1			)

					lowercase_	    =   self.encoder_hidden_states_proj(SCREAMING_SNAKE_CASE_			)
					lowercase_	    =   self.text_encoder_hidden_states_norm(SCREAMING_SNAKE_CASE_			)
					lowercase_	    =   torch.cat([clip_extra_context_tokens, text_encoder_hidden_states]			,				dim=1			)

					return text_encoder_hidden_states, additive_clip_time_embeddings








'''simple docstring'''





class 				UpperCAmelCase			:


 def __init__(      self							:	Union[str, Any] ):
    UpperCAmelCase__	:dict[str, TrieNode]      =      {}  # Mapping from char to TrieNode
    UpperCAmelCase__	:Union[str, Any]      =      False


 def        __SCREAMING_SNAKE_CASE					(      self							:	Optional[int]			,       __lowerCamelCase							:	list[str] ):
    for word in words:
       self.insert(__lowerCamelCase )


 def        __SCREAMING_SNAKE_CASE					(      self							:	Dict			,       __lowerCamelCase							:	str ):
    UpperCAmelCase__	:Tuple      =      self
    for char in word:
       if char not in curr.nodes:
          UpperCAmelCase__	:Optional[int]      =      TrieNode()
       UpperCAmelCase__	:Dict      =      curr.nodes[char]
    UpperCAmelCase__	:Optional[int]      =      True


 def        __SCREAMING_SNAKE_CASE					(      self							:	Any			,       __lowerCamelCase							:	str ):
    UpperCAmelCase__	:str      =      self
    for char in word:
       if char not in curr.nodes:
          return False
       UpperCAmelCase__	:Dict      =      curr.nodes[char]
    return curr.is_leaf





 def        __SCREAMING_SNAKE_CASE					(      self							:	Optional[Any]			,       __lowerCamelCase							:	str ):

    def _delete(__lowerCamelCase							:	TrieNode			,       __lowerCamelCase							:	str			,       __lowerCamelCase							:	int ) -> bool:
       if index == len(__lowerCamelCase ):
          # If word does not exist
          if not curr.is_leaf:
             return False
          UpperCAmelCase__	:int      =      False
          return len(curr.nodes ) == 0
       UpperCAmelCase__	:str      =      word[index]
       UpperCAmelCase__	:Optional[Any]      =      curr.nodes.get(__lowerCamelCase )
       # If char not in current trie node
       if not char_node:
          return False
       # Flag to check if node can be deleted
       UpperCAmelCase__	:Any      =      _delete(__lowerCamelCase			,       __lowerCamelCase			,       index + 1 )
       if delete_curr:
          del curr.nodes[char]
          return len(curr.nodes ) == 0
       return delete_curr

    _delete(self			,       __lowerCamelCase			,       0 )


def        a__     (					UpperCamelCase_						:      TrieNode,   UpperCamelCase_						:      str						):
   if node.is_leaf:
      print(UpperCamelCase_,   end=''' '''						)

   for key, value in node.nodes.items():
      print_words(UpperCamelCase_,   word + key						)


def        a__     (					):
   UpperCAmelCase__	:Union[str, Any]      =      '''banana bananas bandana band apple all beast'''.split()
   UpperCAmelCase__	:Union[str, Any]      =      TrieNode()
   root.insert_many(UpperCamelCase_						)
   # print_words(root, "")
   assert all(root.find(UpperCamelCase_						) for word in words						)
   assert root.find('''banana'''						)
   assert not root.find('''bandanas'''						)
   assert not root.find('''apps'''						)
   assert root.find('''apple'''						)
   assert root.find('''all'''						)
   root.delete('''all'''						)
   assert not root.find('''all'''						)
   root.delete('''banana'''						)
   assert not root.find('''banana'''						)
   assert root.find('''bananas'''						)
   return True


def        a__     (					UpperCamelCase_						:      str,   UpperCamelCase_						:      bool						):
   print(str(UpperCamelCase_						),   '''works!''' if passes else '''doesn\'t work :('''						)


def        a__     (					):
   assert test_trie()


def        a__     (					):
   print_results('''Testing trie functionality''',   test_trie()						)


if __name__ == "__main__":
    main()



