





import copy
import os
from typing import Union

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


UpperCAmelCase_ 							=       logging.get_logger(__name__)

UpperCAmelCase_ 							=       {
    """BAAI/AltCLIP""": """https://huggingface.co/BAAI/AltCLIP/resolve/main/config.json""",
    # See all AltCLIP models at https://huggingface.co/models?filter=altclip
}
class      UpperCamelCase_						(					_lowerCamelCase   ):
					lowerCAmelCase_							=		'''altclip_text_model'''




					def __init__(						self			,  lowerCAmelCase_=25_0002			,  lowerCAmelCase_=1024			,  lowerCAmelCase_=24			,  lowerCAmelCase_=16			,  lowerCAmelCase_=4096			,  lowerCAmelCase_="gelu"			,  lowerCAmelCase_=0.1			,  lowerCAmelCase_=0.1			,  lowerCAmelCase_=514			,  lowerCAmelCase_=1			,  lowerCAmelCase_=0.02			,  lowerCAmelCase_=0.02			,  lowerCAmelCase_=1E-05			,  lowerCAmelCase_=1			,  lowerCAmelCase_=0			,  lowerCAmelCase_=2			,  lowerCAmelCase_="absolute"			,  lowerCAmelCase_=True			,  lowerCAmelCase_=768			,  **lowerCAmelCase_			,  )						->							Optional[int]:
										super().__init__(pad_token_id=lowerCAmelCase_			,  bos_token_id=lowerCAmelCase_			,  eos_token_id=lowerCAmelCase_			,  **lowerCAmelCase_					)

										_snake_case													=			vocab_size
										_snake_case													=			hidden_size
										_snake_case													=			num_hidden_layers
										_snake_case													=			num_attention_heads
										_snake_case													=			hidden_act
										_snake_case													=			intermediate_size
										_snake_case													=			hidden_dropout_prob
										_snake_case													=			attention_probs_dropout_prob
										_snake_case													=			max_position_embeddings
										_snake_case													=			type_vocab_size
										_snake_case													=			initializer_range
										_snake_case													=			initializer_factor
										_snake_case													=			layer_norm_eps
										_snake_case													=			position_embedding_type
										_snake_case													=			use_cache
										_snake_case													=			project_dim





class      UpperCamelCase_						(					_lowerCamelCase   ):
					lowerCAmelCase_							=		'''altclip_vision_model'''




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

										_snake_case													=			hidden_size
										_snake_case													=			intermediate_size
										_snake_case													=			projection_dim
										_snake_case													=			num_hidden_layers
										_snake_case													=			num_attention_heads
										_snake_case													=			num_channels
										_snake_case													=			patch_size
										_snake_case													=			image_size
										_snake_case													=			initializer_range
										_snake_case													=			initializer_factor
										_snake_case													=			attention_dropout
										_snake_case													=			layer_norm_eps
										_snake_case													=			hidden_act






					@classmethod
					def 		lowerCAmelCase     (						cls			,  lowerCAmelCase_			,  **lowerCAmelCase_					)						->							"PretrainedConfig":
										cls._set_token_in_kwargs(lowerCAmelCase_					)

										_snake_case							,       _snake_case													=			cls.get_config_dict(lowerCAmelCase_			,  **lowerCAmelCase_					)

										# get the vision config dict if we are loading from AltCLIPConfig
										if config_dict.get('model_type'					) == "altclip":
															_snake_case													=			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(lowerCAmelCase_			,  **lowerCAmelCase_					)





class      UpperCamelCase_						(					_lowerCamelCase   ):
					lowerCAmelCase_							=		'''altclip'''
					lowerCAmelCase_							=		True




					def __init__(						self			,  lowerCAmelCase_=None			,  lowerCAmelCase_=None			,  lowerCAmelCase_=768			,  lowerCAmelCase_=2.65_92			,  **lowerCAmelCase_					)						->							List[Any]:
										# 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!).
										_snake_case													=			kwargs.pop('text_config_dict'			,  lowerCAmelCase_					)
										_snake_case													=			kwargs.pop('vision_config_dict'			,  lowerCAmelCase_					)

										super().__init__(**lowerCAmelCase_					)

										# 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:
																				_snake_case													=			{}

															# This is the complete result when using `text_config_dict`.
															_snake_case													=			AltCLIPTextConfig(**lowerCAmelCase_					).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:
																														_snake_case													=			(
																														    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:
																														_snake_case													=			(
																														    F'''`text_config_dict` is provided which will be used to initialize `AltCLIPTextConfig`. The '''
																														    F'''value `text_config["{key}"]` will be overriden.'''
																														)
																									logger.warning(lowerCAmelCase_					)

            # 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:
																				_snake_case													=			{}

															# This is the complete result when using `vision_config_dict`.
															_snake_case													=			AltCLIPVisionConfig(**lowerCAmelCase_					).to_dict()
															# convert keys to string instead of integer
															if "id2label" in _vision_config_dict:
																				_snake_case													=			{
																				    str(lowerCAmelCase_					): 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:
																														_snake_case													=			(
																														    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:
																														_snake_case													=			(
																														    F'''`vision_config_dict` is provided which will be used to initialize `AltCLIPVisionConfig`. '''
																														    F'''The value `vision_config["{key}"]` will be overriden.'''
																														)
																									logger.warning(lowerCAmelCase_					)

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

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

										if vision_config is None:
															_snake_case													=			{}
															logger.info('`vision_config` is `None`. initializing the `AltCLIPVisionConfig` with default values.'					)

										_snake_case													=			AltCLIPTextConfig(**lowerCAmelCase_					)
										_snake_case													=			AltCLIPVisionConfig(**lowerCAmelCase_					)

										_snake_case													=			projection_dim
										_snake_case													=			logit_scale_init_value
										_snake_case													=			1.0




					@classmethod
					def 		lowerCAmelCase     (						cls			,  lowerCAmelCase_			,  lowerCAmelCase_			,  **lowerCAmelCase_					)						->							Union[str, Any]:
										return cls(text_config=text_config.to_dict()			,  vision_config=vision_config.to_dict()			,  **lowerCAmelCase_					)






					def 		lowerCAmelCase     (						self					)						->							List[Any]:
										_snake_case													=			copy.deepcopy(self.__dict__					)
										_snake_case													=			self.text_config.to_dict()
										_snake_case													=			self.vision_config.to_dict()
										_snake_case													=			self.__class__.model_type
										return output










from collections.abc import Sequence





def   lowerCamelCase__       (       UpperCamelCase__     :    Sequence[float]    ,      UpperCamelCase__     :    bool = False  )     ->	float:



					'''simple docstring'''




					if not arr:
										return 0

					_snake_case													=			0 if allow_empty_subarrays else float('-inf'  )
					_snake_case													=			0.0
					for num in arr:
										_snake_case													=			max(0 if allow_empty_subarrays else num    ,      curr_sum + num  )
										_snake_case													=			max(UpperCamelCase__    ,      UpperCamelCase__  )

					return max_sum


if __name__ == "__main__":
					from doctest import testmod

					testmod()

					UpperCAmelCase_ 							=       [-2, 1, -3, 4, -1, 2, 1, -5, 4]
					print(F"{max_subarray_sum(nums) = }")



