'''simple docstring'''




import copy
import os
from typing import Union

from ...configuration_utils import PretrainedConfig
from ...utils import logging


_lowercase		:				str	       =		logging.get_logger(__name__)

_lowercase		:				Union[str, Any]	       =		{
    "BAAI/AltCLIP": "https://huggingface.co/BAAI/AltCLIP/resolve/main/config.json",
    # See all AltCLIP models at https://huggingface.co/models?filter=altclip
}





class 					__magic_name__		(					_UpperCAmelCase):
			UpperCamelCase__       = '''altclip_text_model'''







			def __init__(			self       :						List[str]       ,    lowercase_       :						Dict=250002       ,    lowercase_       :						int=1024       ,    lowercase_       :						Optional[Any]=24       ,    lowercase_       :						str=16       ,    lowercase_       :						List[str]=4096       ,    lowercase_       :						List[str]="gelu"       ,    lowercase_       :						Union[str, Any]=0.1       ,    lowercase_       :						str=0.1       ,    lowercase_       :						List[str]=514       ,    lowercase_       :						Any=1       ,    lowercase_       :						Union[str, Any]=0.02       ,    lowercase_       :						Optional[int]=0.02       ,    lowercase_       :						List[Any]=1E-05       ,    lowercase_       :						Optional[int]=1       ,    lowercase_       :						int=0       ,    lowercase_       :						Union[str, Any]=2       ,    lowercase_       :						str="absolute"       ,    lowercase_       :						int=True       ,    lowercase_       :						List[Any]=768       ,    **lowercase_       :						int       ,    ):
										super().__init__(pad_token_id=lowercase_       ,    bos_token_id=lowercase_       ,    eos_token_id=lowercase_       ,    **lowercase_					)

										lowercase_      :    Union[str, Any]       		= vocab_size
										lowercase_      :    Tuple       		= hidden_size
										lowercase_      :    Optional[Any]       		= num_hidden_layers
										lowercase_      :    Union[str, Any]       		= num_attention_heads
										lowercase_      :    Any       		= hidden_act
										lowercase_      :    Any       		= intermediate_size
										lowercase_      :    Dict       		= hidden_dropout_prob
										lowercase_      :    Any       		= attention_probs_dropout_prob
										lowercase_      :    Tuple       		= max_position_embeddings
										lowercase_      :    str       		= type_vocab_size
										lowercase_      :    Union[str, Any]       		= initializer_range
										lowercase_      :    int       		= initializer_factor
										lowercase_      :    Union[str, Any]       		= layer_norm_eps
										lowercase_      :    Dict       		= position_embedding_type
										lowercase_      :    int       		= use_cache
										lowercase_      :    List[Any]       		= project_dim





class 					__magic_name__		(					_UpperCAmelCase):
			UpperCamelCase__       = '''altclip_vision_model'''







			def __init__(			self       :						List[str]       ,    lowercase_       :						Tuple=768       ,    lowercase_       :						Any=3072       ,    lowercase_       :						Union[str, Any]=512       ,    lowercase_       :						Tuple=12       ,    lowercase_       :						Union[str, Any]=12       ,    lowercase_       :						Optional[Any]=3       ,    lowercase_       :						str=224       ,    lowercase_       :						str=32       ,    lowercase_       :						Any="quick_gelu"       ,    lowercase_       :						int=1E-5       ,    lowercase_       :						Any=0.0       ,    lowercase_       :						int=0.02       ,    lowercase_       :						Optional[int]=1.0       ,    **lowercase_       :						Tuple       ,    ):
										super().__init__(**lowercase_					)

										lowercase_      :    Dict       		= hidden_size
										lowercase_      :    Union[str, Any]       		= intermediate_size
										lowercase_      :    Union[str, Any]       		= projection_dim
										lowercase_      :    str       		= num_hidden_layers
										lowercase_      :    List[Any]       		= num_attention_heads
										lowercase_      :    int       		= num_channels
										lowercase_      :    Tuple       		= patch_size
										lowercase_      :    int       		= image_size
										lowercase_      :    int       		= initializer_range
										lowercase_      :    Dict       		= initializer_factor
										lowercase_      :    List[Any]       		= attention_dropout
										lowercase_      :    Any       		= layer_norm_eps
										lowercase_      :    str       		= hidden_act







			@classmethod
			def 			SCREAMING_SNAKE_CASE_  (			cls       :						str       ,    lowercase_       :						Union[str, os.PathLike]       ,    **lowercase_       :						Dict					):
										cls._set_token_in_kwargs(lowercase_					)

										lowercase_		,		lowercase_      :    Optional[int]       		= cls.get_config_dict(lowercase_       ,    **lowercase_					)

										# get the vision config dict if we are loading from AltCLIPConfig
										if config_dict.get("""model_type"""					) == "altclip":
																	lowercase_      :    Tuple       		= config_dict["""vision_config"""]

										if "model_type" in config_dict and hasattr(cls       ,    """model_type"""					) and config_dict["model_type"] != cls.model_type:
																	logger.warning(
																	    f'''You are using a model of type {config_dict['model_type']} to instantiate a model of type '''
																	    f'''{cls.model_type}. This is not supported for all configurations of models and can yield errors.'''					)

										return cls.from_dict(lowercase_       ,    **lowercase_					)





class 					__magic_name__		(					_UpperCAmelCase):
			UpperCamelCase__       = '''altclip'''
			UpperCamelCase__       = True







			def __init__(			self       :						Tuple       ,    lowercase_       :						List[str]=None       ,    lowercase_       :						Any=None       ,    lowercase_       :						Optional[Any]=768       ,    lowercase_       :						List[str]=2.65_92       ,    **lowercase_       :						Optional[int]					):
										# If `_config_dict` exist, we use them for the backward compatibility.
										# We pop out these 2 attributes before calling `super().__init__` to avoid them being saved (which causes a lot
										# of confusion!).
										lowercase_      :    Tuple       		= kwargs.pop("""text_config_dict"""       ,    lowercase_					)
										lowercase_      :    Dict       		= kwargs.pop("""vision_config_dict"""       ,    lowercase_					)

										super().__init__(**lowercase_					)

										# Instead of simply assigning `[text|vision]_config_dict` to `[text|vision]_config`, we use the values in
										# `[text|vision]_config_dict` to update the values in `[text|vision]_config`. The values should be same in most
										# cases, but we don't want to break anything regarding `_config_dict` that existed before commit `8827e1b2`.
										if text_config_dict is not None:
																	if text_config is None:
																								lowercase_      :    int       		= {}

																	# This is the complete result when using `text_config_dict`.
																	lowercase_      :    Any       		= AltCLIPTextConfig(**lowercase_					).to_dict()

																	# Give a warning if the values exist in both `_text_config_dict` and `text_config` but being different.
																	for key, value in _text_config_dict.items():
																								if key in text_config and value != text_config[key] and key not in ["transformers_version"]:
																															# If specified in `text_config_dict`
																															if key in text_config_dict:
																																						lowercase_      :    Optional[Any]       		= (
																																						    f'''`{key}` is found in both `text_config_dict` and `text_config` but with different values. '''
																																						    f'''The value `text_config_dict["{key}"]` will be used instead.'''
																																						)
																															# If inferred from default argument values (just to be super careful)
																															else:
																																						lowercase_      :    List[str]       		= (
																																						    f'''`text_config_dict` is provided which will be used to initialize `AltCLIPTextConfig`. The '''
																																						    f'''value `text_config["{key}"]` will be overriden.'''
																																						)
																															logger.warning(lowercase_					)

            # Update all values in `text_config` with the ones in `_text_config_dict`.
																	text_config.update(_text_config_dict					)

										if vision_config_dict is not None:
																	if vision_config is None:
																								lowercase_      :    List[str]       		= {}

																	# This is the complete result when using `vision_config_dict`.
																	lowercase_      :    List[Any]       		= AltCLIPVisionConfig(**lowercase_					).to_dict()
																	# convert keys to string instead of integer
																	if "id2label" in _vision_config_dict:
																								lowercase_      :    Union[str, Any]       		= {
																								    str(lowercase_					): value for key, value in _vision_config_dict["""id2label"""].items()
																								}

																	# Give a warning if the values exist in both `_vision_config_dict` and `vision_config` but being different.
																	for key, value in _vision_config_dict.items():
																								if key in vision_config and value != vision_config[key] and key not in ["transformers_version"]:
																															# If specified in `vision_config_dict`
																															if key in vision_config_dict:
																																						lowercase_      :    List[str]       		= (
																																						    f'''`{key}` is found in both `vision_config_dict` and `vision_config` but with different '''
																																						    f'''values. The value `vision_config_dict["{key}"]` will be used instead.'''
																																						)
																															# If inferred from default argument values (just to be super careful)
																															else:
																																						lowercase_      :    List[Any]       		= (
																																						    f'''`vision_config_dict` is provided which will be used to initialize `AltCLIPVisionConfig`. '''
																																						    f'''The value `vision_config["{key}"]` will be overriden.'''
																																						)
																															logger.warning(lowercase_					)

            # Update all values in `vision_config` with the ones in `_vision_config_dict`.
																	vision_config.update(_vision_config_dict					)

										if text_config is None:
																	lowercase_      :    str       		= {}
																	logger.info("""`text_config` is `None`. Initializing the `AltCLIPTextConfig` with default values."""					)

										if vision_config is None:
																	lowercase_      :    Union[str, Any]       		= {}
																	logger.info("""`vision_config` is `None`. initializing the `AltCLIPVisionConfig` with default values."""					)

										lowercase_      :    Any       		= AltCLIPTextConfig(**lowercase_					)
										lowercase_      :    List[str]       		= AltCLIPVisionConfig(**lowercase_					)

										lowercase_      :    List[Any]       		= projection_dim
										lowercase_      :    List[Any]       		= logit_scale_init_value
										lowercase_      :    Tuple       		= 1.0







			@classmethod
			def 			SCREAMING_SNAKE_CASE_  (			cls       :						Dict       ,    lowercase_       :						AltCLIPTextConfig       ,    lowercase_       :						AltCLIPVisionConfig       ,    **lowercase_       :						str					):
										return cls(text_config=text_config.to_dict()       ,    vision_config=vision_config.to_dict()       ,    **lowercase_					)







			def 			SCREAMING_SNAKE_CASE_  (			self       :						Tuple					):
										lowercase_      :    Union[str, Any]       		= copy.deepcopy(self.__dict__					)
										lowercase_      :    Tuple       		= self.text_config.to_dict()
										lowercase_      :    Optional[Any]       		= self.vision_config.to_dict()
										lowercase_      :    int       		= self.__class__.model_type
										return output






'''simple docstring'''




import argparse
import os
from io import BytesIO
from pathlib import Path

import requests
from clip_retrieval.clip_client import ClipClient
from PIL import Image
from tqdm import tqdm




def 							lowerCamelCase			(   UpperCAmelCase__ :      Union[str, Any]   ,   UpperCAmelCase__ :      int   ,   UpperCAmelCase__ :      Optional[Any]				)    ->   List[Any]:
							lowercase_      :    str       		= 1.5
							lowercase_      :    List[Any]       		= int(factor * num_class_images				)
							lowercase_      :    int       		= ClipClient(
							    url="""https://knn.laion.ai/knn-service"""   ,   indice_name="""laion_400m"""   ,   num_images=UpperCAmelCase__   ,   aesthetic_weight=0.1				)

							os.makedirs(F'''{class_data_dir}/images'''   ,   exist_ok=UpperCAmelCase__				)
							if len(list(Path(F'''{class_data_dir}/images'''				).iterdir()				)				) >= num_class_images:
														return

							while True:
														lowercase_      :    List[str]       		= client.query(text=UpperCAmelCase__				)
														if len(UpperCAmelCase__				) >= factor * num_class_images or num_images > 1e4:
																					break
														else:
																					lowercase_      :    List[str]       		= int(factor * num_images				)
																					lowercase_      :    List[str]       		= ClipClient(
																					    url="""https://knn.laion.ai/knn-service"""   ,   indice_name="""laion_400m"""   ,   num_images=UpperCAmelCase__   ,   aesthetic_weight=0.1   ,   )

							lowercase_      :    List[str]       		= 0
							lowercase_      :    Dict       		= 0
							lowercase_      :    Tuple       		= tqdm(desc="""downloading real regularization images"""   ,   total=UpperCAmelCase__				)

							with open(F'''{class_data_dir}/caption.txt'''   ,   """w"""				) as fa, open(F'''{class_data_dir}/urls.txt'''   ,   """w"""				) as fa, open(
							    F'''{class_data_dir}/images.txt'''   ,   """w"""				) as fa:
														while total < num_class_images:
																					lowercase_      :    str       		= class_images[count]
																					count += 1
																					try:
																												lowercase_      :    Union[str, Any]       		= requests.get(images["""url"""]				)
																												if img.status_code == 200:
																																			lowercase_      :    List[str]       		= Image.open(BytesIO(img.content				)				)
																																			with open(F'''{class_data_dir}/images/{total}.jpg'''   ,   """wb"""				) as f:
																																										f.write(img.content				)
																																			fa.write(images["""caption"""] + """\n"""				)
																																			fa.write(images["""url"""] + """\n"""				)
																																			fa.write(F'''{class_data_dir}/images/{total}.jpg''' + """\n"""				)
																																			total += 1
																																			pbar.update(1				)
																												else:
																																			continue
																					except Exception:
																												continue
							return




def 							lowerCamelCase			(   )    ->   Optional[Any]:
							lowercase_      :    Any       		= argparse.ArgumentParser(""""""   ,   add_help=UpperCAmelCase__				)
							parser.add_argument("""--class_prompt"""   ,   help="""text prompt to retrieve images"""   ,   required=UpperCAmelCase__   ,   type=UpperCAmelCase__				)
							parser.add_argument("""--class_data_dir"""   ,   help="""path to save images"""   ,   required=UpperCAmelCase__   ,   type=UpperCAmelCase__				)
							parser.add_argument("""--num_class_images"""   ,   help="""number of images to download"""   ,   default=200   ,   type=UpperCAmelCase__				)
							return parser.parse_args()


if __name__ == "__main__":
						_lowercase		:				Dict	       =		parse_args()
						retrieve(args.class_prompt, args.class_data_dir, args.num_class_images)





