




"""simple docstring"""






import copy
import os
from typing import Union

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


lowercase__     						=						logging.get_logger(__name__)

lowercase__     						=						{
    """BAAI/AltCLIP""": """https://huggingface.co/BAAI/AltCLIP/resolve/main/config.json""",
    # See all AltCLIP models at https://huggingface.co/models?filter=altclip
}






class lowerCAmelCase__	(     lowercase						):






			'''simple docstring'''



			lowerCamelCase__      =			"""altclip_text_model"""
			def __init__(  self  ,      lowercase=250002  ,      lowercase=1024  ,      lowercase=24  ,      lowercase=16  ,      lowercase=4096  ,      lowercase="gelu"  ,      lowercase=0.1  ,      lowercase=0.1  ,      lowercase=514  ,      lowercase=1  ,      lowercase=0.02  ,      lowercase=0.02  ,      lowercase=1E-05  ,      lowercase=1  ,      lowercase=0  ,      lowercase=2  ,      lowercase="absolute"  ,      lowercase=True  ,      lowercase=768  ,      **lowercase  ,      ):
							super().__init__(pad_token_id=lowercase  ,      bos_token_id=lowercase  ,      eos_token_id=lowercase  ,      **lowercase  )

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






class lowerCAmelCase__	(     lowercase						):






			'''simple docstring'''



			lowerCamelCase__      =			"""altclip_vision_model"""
			def __init__(  self  ,      lowercase=768  ,      lowercase=3072  ,      lowercase=512  ,      lowercase=12  ,      lowercase=12  ,      lowercase=3  ,      lowercase=224  ,      lowercase=32  ,      lowercase="quick_gelu"  ,      lowercase=1E-5  ,      lowercase=0.0  ,      lowercase=0.02  ,      lowercase=1.0  ,      **lowercase  ,      ):
							super().__init__(**lowercase  )

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






			@classmethod
			def 					A_    (  cls  ,      lowercase  ,      **lowercase  ):
							cls._set_token_in_kwargs(lowercase  )

							_lowerCamelCase, _lowerCamelCase     :			Optional[Any]    =    cls.get_config_dict(lowercase  ,      **lowercase  )

							# get the vision config dict if we are loading from AltCLIPConfig
							if config_dict.get('model_type'  ) == "altclip":
											_lowerCamelCase     :			Optional[int]    =    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 lowerCAmelCase__	(     lowercase						):






			'''simple docstring'''



			lowerCamelCase__      =			"""altclip"""
			lowerCamelCase__      =			True
			def __init__(  self  ,      lowercase=None  ,      lowercase=None  ,      lowercase=768  ,      lowercase=2.65_92  ,      **lowercase  ):
							# 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!).
							_lowerCamelCase     :			Optional[int]    =    kwargs.pop('text_config_dict'  ,      lowercase  )
							_lowerCamelCase     :			Optional[int]    =    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:
															_lowerCamelCase     :			int    =    {}

											# This is the complete result when using `text_config_dict`.
											_lowerCamelCase     :			str    =    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:
																							_lowerCamelCase     :			int    =    (
																							    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:
																							_lowerCamelCase     :			Optional[int]    =    (
																							    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:
															_lowerCamelCase     :			List[str]    =    {}

											# This is the complete result when using `vision_config_dict`.
											_lowerCamelCase     :			List[Any]    =    AltCLIPVisionConfig(**lowercase  ).to_dict()
											# convert keys to string instead of integer
											if "id2label" in _vision_config_dict:
															_lowerCamelCase     :			int    =    {
															    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:
																							_lowerCamelCase     :			Optional[Any]    =    (
																							    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:
																							_lowerCamelCase     :			Optional[int]    =    (
																							    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:
											_lowerCamelCase     :			Dict    =    {}
											logger.info('`text_config` is `None`. Initializing the `AltCLIPTextConfig` with default values.'  )

							if vision_config is None:
											_lowerCamelCase     :			List[Any]    =    {}
											logger.info('`vision_config` is `None`. initializing the `AltCLIPVisionConfig` with default values.'  )

							_lowerCamelCase     :			List[str]    =    AltCLIPTextConfig(**lowercase  )
							_lowerCamelCase     :			Optional[int]    =    AltCLIPVisionConfig(**lowercase  )

							_lowerCamelCase     :			Optional[Any]    =    projection_dim
							_lowerCamelCase     :			List[Any]    =    logit_scale_init_value
							_lowerCamelCase     :			List[str]    =    1.0
			@classmethod
			def 					A_    (  cls  ,      lowercase  ,      lowercase  ,      **lowercase  ):
							return cls(text_config=text_config.to_dict()  ,      vision_config=vision_config.to_dict()  ,      **lowercase  )






			def 					A_    (  self  ):
							_lowerCamelCase     :			str    =    copy.deepcopy(self.__dict__  )
							_lowerCamelCase     :			Tuple    =    self.text_config.to_dict()
							_lowerCamelCase     :			List[Any]    =    self.vision_config.to_dict()
							_lowerCamelCase     :			List[str]    =    self.__class__.model_type
							return output





"""simple docstring"""






import socket







def      _snake_case			(				):
				_lowerCamelCase     :			List[Any]    =    socket.socket(socket.AF_INET							,    socket.SOCK_STREAM		)
				_lowerCamelCase     :			Union[str, Any]    =    socket.gethostname()
				_lowerCamelCase     :			List[Any]    =    12312

				sock.connect((host, port)		)
				sock.send(B'Hello server!'		)

				with open('Received_file'							,    'wb'		) as out_file:
								print('File opened'		)
								print('Receiving data...'		)
								while True:
												_lowerCamelCase     :			int    =    sock.recv(1024		)
												if not data:
																break
												out_file.write(lowercase__		)

				print('Successfully received the file'		)
				sock.close()
				print('Connection closed'		)


if __name__ == "__main__":
			main()