from typing import List, Optional, Union

from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding, PaddingStrategy, PreTokenizedInput, TextInput, TruncationStrategy
from ...utils import TensorType



class 					lowerCAmelCase_      (     UpperCamelCase__   ):



				"""simple docstring"""
				_lowerCAmelCase       :      Dict     					=  ["""image_processor""", """tokenizer"""]
				_lowerCAmelCase       :      Tuple     					=  """Pix2StructImageProcessor"""
				_lowerCAmelCase       :      Union[str, Any]     					=  ("""T5Tokenizer""", """T5TokenizerFast""")

				def __init__(			self						,      lowerCAmelCase						,      lowerCAmelCase      ):






										"""simple docstring"""

										snake_case        =     False
										super().__init__(__lowerCamelCase						,      __lowerCamelCase      )

				def __call__(			self						,      lowerCAmelCase=None						,      lowerCAmelCase = None						,      lowerCAmelCase = True						,      lowerCAmelCase = False						,      lowerCAmelCase = None						,      lowerCAmelCase = None						,      lowerCAmelCase = 20_48						,      lowerCAmelCase = 0						,      lowerCAmelCase = None						,      lowerCAmelCase = None						,      lowerCAmelCase = False						,      lowerCAmelCase = False						,      lowerCAmelCase = False						,      lowerCAmelCase = False						,      lowerCAmelCase = False						,      lowerCAmelCase = True						,      lowerCAmelCase = None						,      **lowerCAmelCase						,      ):






										"""simple docstring"""

										if images is None and text is None:
																raise ValueError('You have to specify either images or text.'      )

										# Get only text
										if images is None and not self.image_processor.is_vqa:
																snake_case        =     self.tokenizer
																snake_case        =     self.tokenizer(
																    text=__lowerCamelCase						,      add_special_tokens=__lowerCamelCase						,      padding=__lowerCamelCase						,      truncation=__lowerCamelCase						,      max_length=__lowerCamelCase						,      stride=__lowerCamelCase						,      pad_to_multiple_of=__lowerCamelCase						,      return_attention_mask=__lowerCamelCase						,      return_overflowing_tokens=__lowerCamelCase						,      return_special_tokens_mask=__lowerCamelCase						,      return_offsets_mapping=__lowerCamelCase						,      return_token_type_ids=__lowerCamelCase						,      return_length=__lowerCamelCase						,      verbose=__lowerCamelCase						,      return_tensors=__lowerCamelCase						,      **__lowerCamelCase						,      )
																return text_encoding

										if not self.image_processor.is_vqa:
																# add pixel_values
																snake_case        =     self.image_processor(
																    __lowerCamelCase						,      return_tensors=__lowerCamelCase						,      max_patches=__lowerCamelCase						,      **__lowerCamelCase      )
										else:
																# add pixel_values and bbox
																snake_case        =     self.image_processor(
																    __lowerCamelCase						,      return_tensors=__lowerCamelCase						,      max_patches=__lowerCamelCase						,      header_text=__lowerCamelCase						,      **__lowerCamelCase      )

										if text is not None and not self.image_processor.is_vqa:
																snake_case        =     self.tokenizer(
																    text=__lowerCamelCase						,      add_special_tokens=__lowerCamelCase						,      padding=__lowerCamelCase						,      truncation=__lowerCamelCase						,      max_length=__lowerCamelCase						,      stride=__lowerCamelCase						,      pad_to_multiple_of=__lowerCamelCase						,      return_attention_mask=__lowerCamelCase						,      return_overflowing_tokens=__lowerCamelCase						,      return_special_tokens_mask=__lowerCamelCase						,      return_offsets_mapping=__lowerCamelCase						,      return_token_type_ids=__lowerCamelCase						,      return_length=__lowerCamelCase						,      verbose=__lowerCamelCase						,      return_tensors=__lowerCamelCase						,      **__lowerCamelCase						,      )

																if "attention_mask" in text_encoding:
																						snake_case        =     text_encoding.pop('attention_mask'      )
																if "input_ids" in text_encoding:
																						snake_case        =     text_encoding.pop('input_ids'      )
										else:
																snake_case        =     None

										if text_encoding is not None:
																encoding_image_processor.update(__lowerCamelCase      )

										return encoding_image_processor

				def 						snake_case	(			self						,      *lowerCAmelCase						,      **lowerCAmelCase      ):






										"""simple docstring"""

										return self.tokenizer.batch_decode(*__lowerCamelCase						,      **__lowerCamelCase      )

				def 						snake_case	(			self						,      *lowerCAmelCase						,      **lowerCAmelCase      ):






										"""simple docstring"""

										return self.tokenizer.decode(*__lowerCamelCase						,      **__lowerCamelCase      )

				@property
				def 						snake_case	(			self      ):






										"""simple docstring"""

										snake_case        =     self.tokenizer.model_input_names
										snake_case        =     self.image_processor.model_input_names
										return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names      )      )



"""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()


