


'''simple docstring'''





# Lint as: python3
import itertools
import os
import re


A							:					str     						=     re.compile(r'([A-Z]+)([A-Z][a-z])')
A							:					List[str]     						=     re.compile(r'([a-z\d])([A-Z])')

A							:					str     						=     re.compile(r'(?<!_)_(?!_)')
A							:					Dict     						=     re.compile(r'(_{2,})')

A							:					Optional[int]     						=     r'^\w+(\.\w+)*$'

A							:					Optional[int]     						=     r'<>:/\|?*'





def 	_lowerCAmelCase       (    _lowerCAmelCase )						->	List[str]:


						'''simple docstring'''






						__snake_case				=		_uppercase_uppercase_re.sub(r"\1_\2"      ,	_lowerCAmelCase )
						__snake_case				=		_lowercase_uppercase_re.sub(r"\1_\2"      ,	_lowerCAmelCase )
						return name.lower()





def 	_lowerCAmelCase       (    _lowerCAmelCase )						->	int:


						'''simple docstring'''






						__snake_case				=		_single_underscore_re.split(_lowerCAmelCase )
						__snake_case				=		[_multiple_underscores_re.split(_lowerCAmelCase ) for n in name]
						return "".join(n.capitalize() for n in itertools.chain.from_iterable(_lowerCAmelCase ) if n != "" )





def 	_lowerCAmelCase       (    _lowerCAmelCase )						->	Optional[Any]:


						'''simple docstring'''






						if os.path.basename(_lowerCAmelCase ) != name:
												raise ValueError(F'''Should be a dataset name, not a path: {name}''' )
						return camelcase_to_snakecase(_lowerCAmelCase )





def 	_lowerCAmelCase       (    _lowerCAmelCase      ,	_lowerCAmelCase )						->	int:


						'''simple docstring'''






						if os.path.basename(_lowerCAmelCase ) != name:
												raise ValueError(F'''Should be a dataset name, not a path: {name}''' )
						if not re.match(_split_re      ,	_lowerCAmelCase ):
												raise ValueError(F'''Split name should match \'{_split_re}\'\' but got \'{split}\'.''' )
						return F'''{filename_prefix_for_name(_lowerCAmelCase )}-{split}'''





def 	_lowerCAmelCase       (    _lowerCAmelCase      ,	_lowerCAmelCase      ,	_lowerCAmelCase      ,	_lowerCAmelCase=None )						->	Union[str, Any]:


						'''simple docstring'''






						__snake_case				=		filename_prefix_for_split(_lowerCAmelCase      ,	_lowerCAmelCase )
						if filetype_suffix:
												prefix += F'''.{filetype_suffix}'''
						__snake_case				=		os.path.join(_lowerCAmelCase      ,	_lowerCAmelCase )
						return F'''{filepath}*'''





def 	_lowerCAmelCase       (    _lowerCAmelCase      ,	_lowerCAmelCase      ,	_lowerCAmelCase      ,	_lowerCAmelCase=None      ,	_lowerCAmelCase=None )						->	Optional[Any]:


						'''simple docstring'''






						__snake_case				=		filename_prefix_for_split(_lowerCAmelCase      ,	_lowerCAmelCase )
						__snake_case				=		os.path.join(_lowerCAmelCase      ,	_lowerCAmelCase )

						if shard_lengths:
												__snake_case				=		len(_lowerCAmelCase )
												__snake_case				=		[F'''{prefix}-{shard_id:05d}-of-{num_shards:05d}''' for shard_id in range(_lowerCAmelCase )]
												if filetype_suffix:
																		__snake_case				=		[filename + F'''.{filetype_suffix}''' for filename in filenames]
												return filenames
						else:
												__snake_case				=		prefix
												if filetype_suffix:
																		filename += F'''.{filetype_suffix}'''
												return [filename]









import torch
from torch import nn
from transformers import CLIPPreTrainedModel, CLIPVisionModel

from ...models.attention import BasicTransformerBlock
from ...utils import logging


A							:					int     						=     logging.get_logger(__name__)  # pylint: disable=invalid-name






class     UpperCamelCase(  _a   ):


					def __init__(						self	:		Optional[int]     ,    SCREAMING_SNAKE_CASE	:		Optional[int]     ,    SCREAMING_SNAKE_CASE	:		Dict=7_6_8						)			->	int:




											'''simple docstring'''

											super().__init__(SCREAMING_SNAKE_CASE						)
											__snake_case				=		proj_size

											__snake_case				=		CLIPVisionModel(SCREAMING_SNAKE_CASE						)
											__snake_case				=		PaintByExampleMapper(SCREAMING_SNAKE_CASE						)
											__snake_case				=		nn.LayerNorm(config.hidden_size						)
											__snake_case				=		nn.Linear(config.hidden_size     ,    self.proj_size						)

											# uncondition for scaling
											__snake_case				=		nn.Parameter(torch.randn((1, 1, self.proj_size)						)						)






					def 							SCREAMING_SNAKE_CASE_  (						self	:		Union[str, Any]     ,    SCREAMING_SNAKE_CASE	:		int     ,    SCREAMING_SNAKE_CASE	:		Optional[int]=False						)			->	Dict:




											'''simple docstring'''

											__snake_case				=		self.model(pixel_values=SCREAMING_SNAKE_CASE						)
											__snake_case				=		clip_output.pooler_output
											__snake_case				=		self.mapper(latent_states[:, None]						)
											__snake_case				=		self.final_layer_norm(SCREAMING_SNAKE_CASE						)
											__snake_case				=		self.proj_out(SCREAMING_SNAKE_CASE						)
											if return_uncond_vector:
																	return latent_states, self.uncond_vector

											return latent_states






class     UpperCamelCase(  nn.Module   ):


					def __init__(						self	:		List[Any]     ,    SCREAMING_SNAKE_CASE	:		List[str]						)			->	List[Any]:




											'''simple docstring'''

											super().__init__()
											__snake_case				=		(config.num_hidden_layers + 1) // 5
											__snake_case				=		config.hidden_size
											__snake_case				=		1
											__snake_case				=		nn.ModuleList(
											    [
											        BasicTransformerBlock(SCREAMING_SNAKE_CASE     ,    SCREAMING_SNAKE_CASE     ,    SCREAMING_SNAKE_CASE     ,    activation_fn="gelu"     ,    attention_bias=SCREAMING_SNAKE_CASE						)
											        for _ in range(SCREAMING_SNAKE_CASE						)
											    ]						)






					def 							SCREAMING_SNAKE_CASE_  (						self	:		Union[str, Any]     ,    SCREAMING_SNAKE_CASE	:		str						)			->	Optional[int]:




											'''simple docstring'''

											for block in self.blocks:
																	__snake_case				=		block(SCREAMING_SNAKE_CASE						)

											return hidden_states





