import copy
import os
from collections import OrderedDict
from typing import TYPE_CHECKING, Any, Dict, Mapping, Optional, Union


if TYPE_CHECKING:
					from ...processing_utils import ProcessorMixin
					from ...utils import TensorType

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


SCREAMING_SNAKE_CASE__   =					logging.get_logger(__name__)

SCREAMING_SNAKE_CASE__   =					{
    "google/owlvit-base-patch32": "https://huggingface.co/google/owlvit-base-patch32/resolve/main/config.json",
    "google/owlvit-base-patch16": "https://huggingface.co/google/owlvit-base-patch16/resolve/main/config.json",
    "google/owlvit-large-patch14": "https://huggingface.co/google/owlvit-large-patch14/resolve/main/config.json",
}



class 					lowerCAmelCase_      (     lowerCAmelCase   ):



				"""simple docstring"""
				_lowerCAmelCase       :      Optional[int]     					=  """owlvit_text_model"""

				def __init__(			self						,      lowerCAmelCase=4_94_08						,      lowerCAmelCase=5_12						,      lowerCAmelCase=20_48						,      lowerCAmelCase=12						,      lowerCAmelCase=8						,      lowerCAmelCase=16						,      lowerCAmelCase="quick_gelu"						,      lowerCAmelCase=1E-5						,      lowerCAmelCase=0.0						,      lowerCAmelCase=0.02						,      lowerCAmelCase=1.0						,      lowerCAmelCase=0						,      lowerCAmelCase=4_94_06						,      lowerCAmelCase=4_94_07						,      **lowerCAmelCase						,      ):






										"""simple docstring"""

										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        =     intermediate_size
										snake_case        =     num_hidden_layers
										snake_case        =     num_attention_heads
										snake_case        =     max_position_embeddings
										snake_case        =     hidden_act
										snake_case        =     layer_norm_eps
										snake_case        =     attention_dropout
										snake_case        =     initializer_range
										snake_case        =     initializer_factor

				@classmethod
				def 						snake_case	(			cls						,      lowerCAmelCase						,      **lowerCAmelCase      ):






										"""simple docstring"""

										cls._set_token_in_kwargs(lowerCAmelCase      )

										snake_case   ,snake_case        =     cls.get_config_dict(lowerCAmelCase						,      **lowerCAmelCase      )

										# get the text config dict if we are loading from OwlViTConfig
										if config_dict.get('model_type'      ) == "owlvit":
																snake_case        =     config_dict['text_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 					lowerCAmelCase_      (     lowerCAmelCase   ):



				"""simple docstring"""
				_lowerCAmelCase       :      int     					=  """owlvit_vision_model"""

				def __init__(			self						,      lowerCAmelCase=7_68						,      lowerCAmelCase=30_72						,      lowerCAmelCase=12						,      lowerCAmelCase=12						,      lowerCAmelCase=3						,      lowerCAmelCase=7_68						,      lowerCAmelCase=32						,      lowerCAmelCase="quick_gelu"						,      lowerCAmelCase=1E-5						,      lowerCAmelCase=0.0						,      lowerCAmelCase=0.02						,      lowerCAmelCase=1.0						,      **lowerCAmelCase						,      ):






										"""simple docstring"""

										super().__init__(**lowerCAmelCase      )

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

				@classmethod
				def 						snake_case	(			cls						,      lowerCAmelCase						,      **lowerCAmelCase      ):






										"""simple docstring"""

										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 OwlViTConfig
										if config_dict.get('model_type'      ) == "owlvit":
																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 					lowerCAmelCase_      (     lowerCAmelCase   ):



				"""simple docstring"""
				_lowerCAmelCase       :      Dict     					=  """owlvit"""
				_lowerCAmelCase       :      str     					=  True

				def __init__(			self						,      lowerCAmelCase=None						,      lowerCAmelCase=None						,      lowerCAmelCase=5_12						,      lowerCAmelCase=2.65_92						,      lowerCAmelCase=True						,      **lowerCAmelCase						,      ):






										"""simple docstring"""

										super().__init__(**lowerCAmelCase      )

										if text_config is None:
																snake_case        =     {}
																logger.info('text_config is None. Initializing the OwlViTTextConfig with default values.'      )

										if vision_config is None:
																snake_case        =     {}
																logger.info('vision_config is None. initializing the OwlViTVisionConfig with default values.'      )

										snake_case        =     OwlViTTextConfig(**lowerCAmelCase      )
										snake_case        =     OwlViTVisionConfig(**lowerCAmelCase      )

										snake_case        =     projection_dim
										snake_case        =     logit_scale_init_value
										snake_case        =     return_dict
										snake_case        =     1.0

				@classmethod
				def 						snake_case	(			cls						,      lowerCAmelCase						,      **lowerCAmelCase      ):






										"""simple docstring"""

										cls._set_token_in_kwargs(lowerCAmelCase      )

										snake_case   ,snake_case        =     cls.get_config_dict(lowerCAmelCase						,      **lowerCAmelCase      )

										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      )

				@classmethod
				def 						snake_case	(			cls						,      lowerCAmelCase						,      lowerCAmelCase						,      **lowerCAmelCase      ):






										"""simple docstring"""

										snake_case        =     {}
										snake_case        =     text_config
										snake_case        =     vision_config

										return cls.from_dict(lowerCAmelCase						,      **lowerCAmelCase      )

				def 						snake_case	(			self      ):






										"""simple docstring"""

										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





class 					lowerCAmelCase_      (     lowerCAmelCase   ):



				"""simple docstring"""

				@property
				def 						snake_case	(			self      ):






										"""simple docstring"""

										return OrderedDict(
										    [
										        ('input_ids', {0: 'batch', 1: 'sequence'}),
										        ('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'}),
										        ('attention_mask', {0: 'batch', 1: 'sequence'}),
										    ]      )

				@property
				def 						snake_case	(			self      ):






										"""simple docstring"""

										return OrderedDict(
										    [
										        ('logits_per_image', {0: 'batch'}),
										        ('logits_per_text', {0: 'batch'}),
										        ('text_embeds', {0: 'batch'}),
										        ('image_embeds', {0: 'batch'}),
										    ]      )

				@property
				def 						snake_case	(			self      ):






										"""simple docstring"""

										return 1E-4

				def 						snake_case	(			self						,      lowerCAmelCase						,      lowerCAmelCase = -1						,      lowerCAmelCase = -1						,      lowerCAmelCase = None						,      ):






										"""simple docstring"""

										snake_case        =     super().generate_dummy_inputs(
										    processor.tokenizer						,      batch_size=lowerCAmelCase						,      seq_length=lowerCAmelCase						,      framework=lowerCAmelCase      )
										snake_case        =     super().generate_dummy_inputs(
										    processor.image_processor						,      batch_size=lowerCAmelCase						,      framework=lowerCAmelCase      )
										return {**text_input_dict, **image_input_dict}

				@property
				def 						snake_case	(			self      ):






										"""simple docstring"""

										return 14



"""simple docstring"""
import secrets
from random import shuffle
from string import ascii_letters, ascii_lowercase, ascii_uppercase, digits, punctuation





def 				lowerCAmelCase__      (     _UpperCamelCase    :			int = 8   )   ->			str:





						"""simple docstring"""






						snake_case        =     ascii_letters + digits + punctuation
						return "".join(secrets.choice(_UpperCamelCase   ) for _ in range(_UpperCamelCase   )   )





def 				lowerCAmelCase__      (     _UpperCamelCase    :			str	,     _UpperCamelCase    :			int   )   ->			str:





						"""simple docstring"""






						i -= len(_UpperCamelCase   )
						snake_case        =     i // 3
						snake_case        =     i % 3
						# chars = chars_incl + random_letters(ascii_letters, i / 3 + remainder) +
						#     random_number(digits, i / 3) + random_characters(punctuation, i / 3)
						snake_case        =     (
						    chars_incl
						    + random(_UpperCamelCase	,     quotient + remainder   )
						    + random(_UpperCamelCase	,     _UpperCamelCase   )
						    + random(_UpperCamelCase	,     _UpperCamelCase   )
						)
						snake_case        =     list(_UpperCamelCase   )
						shuffle(_UpperCamelCase   )
						return "".join(_UpperCamelCase   )

						# random is a generalised function for letters, characters and numbers





def 				lowerCAmelCase__      (     _UpperCamelCase    :			str	,     _UpperCamelCase    :			int   )   ->			str:





						"""simple docstring"""






						return "".join(secrets.choice(_UpperCamelCase   ) for _ in range(_UpperCamelCase   )   )





def 				lowerCAmelCase__      (     _UpperCamelCase    :			Optional[Any]	,     _UpperCamelCase    :			Optional[Any]   )   ->			List[Any]:





						"""simple docstring"""






						pass  # Put your code here...





def 				lowerCAmelCase__      (     _UpperCamelCase    :			Union[str, Any]	,     _UpperCamelCase    :			Optional[Any]   )   ->			Any:





						"""simple docstring"""






						pass  # Put your code here...





def 				lowerCAmelCase__      (     _UpperCamelCase    :			Dict	,     _UpperCamelCase    :			Optional[Any]   )   ->			Union[str, Any]:





						"""simple docstring"""






						pass  # Put your code here...





def 				lowerCAmelCase__      (     _UpperCamelCase    :			str	,     _UpperCamelCase    :			int = 8   )   ->			bool:





						"""simple docstring"""






						if len(_UpperCamelCase   ) < min_length:
												# Your Password must be at least 8 characters long
												return False

						snake_case        =     any(char in ascii_uppercase for char in password   )
						snake_case        =     any(char in ascii_lowercase for char in password   )
						snake_case        =     any(char in digits for char in password   )
						snake_case        =     any(char in punctuation for char in password   )

						return upper and lower and num and spec_char
						# Passwords should contain UPPERCASE, lowerase
						# numbers, and special characters





def 				lowerCAmelCase__      (     )   ->			Any:





						"""simple docstring"""






						snake_case        =     int(input('Please indicate the max length of your password: '   ).strip()   )
						snake_case        =     input(
						    'Please indicate the characters that must be in your password: '   ).strip()
						print('Password generated:'	,     password_generator(_UpperCamelCase   )   )
						print(
						    'Alternative Password generated:'	,     alternative_password_generator(_UpperCamelCase	,     _UpperCamelCase   )	,     )
						print('[If you are thinking of using this passsword, You better save it.]'   )


if __name__ == "__main__":
					main()


