




import warnings
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       SCREAMING_SNAKE_CASE__					(					__lowerCAmelCase					):
						_a    						=						['image_processor', 'tokenizer']
						_a    						=						'LayoutLMv3ImageProcessor'
						_a    						=						('LayoutLMv3Tokenizer', 'LayoutLMv3TokenizerFast')


						def __init__(							self				:			Dict						,						lowerCAmelCase				:			Tuple=None						,						lowerCAmelCase				:			Optional[Any]=None						,						**lowerCAmelCase				:			Tuple					):
										lowerCAmelCase  =				None
										if "feature_extractor" in kwargs:
														warnings.warn(
														    """The `feature_extractor` argument is deprecated and will be removed in v5, use `image_processor`"""
														    """ instead."""						,						_UpperCamelCase						,						)
														lowerCAmelCase  =				kwargs.pop("""feature_extractor"""					)

										lowerCAmelCase  =				image_processor if image_processor is not None else feature_extractor
										if image_processor is None:
														raise ValueError("""You need to specify an `image_processor`."""					)
										if tokenizer is None:
														raise ValueError("""You need to specify a `tokenizer`."""					)

										super().__init__(_UpperCamelCase						,						_UpperCamelCase					)


						def __call__(							self				:			Optional[int]						,						lowerCAmelCase				:			int						,						lowerCAmelCase				:			Union[TextInput, PreTokenizedInput, List[TextInput], List[PreTokenizedInput]] = None						,						lowerCAmelCase				:			Optional[Union[PreTokenizedInput, List[PreTokenizedInput]]] = None						,						lowerCAmelCase				:			Union[List[List[int]], List[List[List[int]]]] = None						,						lowerCAmelCase				:			Optional[Union[List[int], List[List[int]]]] = None						,						lowerCAmelCase				:			bool = True						,						lowerCAmelCase				:			Union[bool, str, PaddingStrategy] = False						,						lowerCAmelCase				:			Union[bool, str, TruncationStrategy] = None						,						lowerCAmelCase				:			Optional[int] = None						,						lowerCAmelCase				:			int = 0						,						lowerCAmelCase				:			Optional[int] = None						,						lowerCAmelCase				:			Optional[bool] = None						,						lowerCAmelCase				:			Optional[bool] = None						,						lowerCAmelCase				:			bool = False						,						lowerCAmelCase				:			bool = False						,						lowerCAmelCase				:			bool = False						,						lowerCAmelCase				:			bool = False						,						lowerCAmelCase				:			bool = True						,						lowerCAmelCase				:			Optional[Union[str, TensorType]] = None						,						**lowerCAmelCase				:			Union[str, Any]						,						):


										if self.image_processor.apply_ocr and (boxes is not None):
														raise ValueError(
														    """You cannot provide bounding boxes if you initialized the image processor with apply_ocr set to True."""					)

										if self.image_processor.apply_ocr and (word_labels is not None):
														raise ValueError(
														    """You cannot provide word labels if you initialized the image processor with apply_ocr set to True."""					)

										# first, apply the image processor
										lowerCAmelCase  =				self.image_processor(images=_UpperCamelCase						,						return_tensors=_UpperCamelCase					)

										# second, apply the tokenizer
										if text is not None and self.image_processor.apply_ocr and text_pair is None:
														if isinstance(_UpperCamelCase						,						_UpperCamelCase					):
																		lowerCAmelCase  =				[text]  # add batch dimension (as the image processor always adds a batch dimension)
														lowerCAmelCase  =				features["""words"""]

										lowerCAmelCase  =				self.tokenizer(
										    text=text if text is not None else features["""words"""]						,						text_pair=text_pair if text_pair is not None else None						,						boxes=boxes if boxes is not None else features["""boxes"""]						,						word_labels=_UpperCamelCase						,						add_special_tokens=_UpperCamelCase						,						padding=_UpperCamelCase						,						truncation=_UpperCamelCase						,						max_length=_UpperCamelCase						,						stride=_UpperCamelCase						,						pad_to_multiple_of=_UpperCamelCase						,						return_token_type_ids=_UpperCamelCase						,						return_attention_mask=_UpperCamelCase						,						return_overflowing_tokens=_UpperCamelCase						,						return_special_tokens_mask=_UpperCamelCase						,						return_offsets_mapping=_UpperCamelCase						,						return_length=_UpperCamelCase						,						verbose=_UpperCamelCase						,						return_tensors=_UpperCamelCase						,						**_UpperCamelCase						,						)

										# add pixel values
										lowerCAmelCase  =				features.pop("""pixel_values"""					)
										if return_overflowing_tokens is True:
														lowerCAmelCase  =				self.get_overflowing_images(_UpperCamelCase						,						encoded_inputs["""overflow_to_sample_mapping"""]					)
										lowerCAmelCase  =				images

										return encoded_inputs


						def   __lowercase (							self				:			Union[str, Any]						,						lowerCAmelCase				:			Any						,						lowerCAmelCase				:			List[Any]					):
										lowerCAmelCase  =				[]
										for sample_idx in overflow_to_sample_mapping:
														images_with_overflow.append(images[sample_idx]					)

										if len(_UpperCamelCase					) != len(_UpperCamelCase					):
														raise ValueError(
														    """Expected length of images to be the same as the length of `overflow_to_sample_mapping`, but got"""
														    f''' {len(_UpperCamelCase					)} and {len(_UpperCamelCase					)}'''					)

										return images_with_overflow


						def   __lowercase (							self				:			List[str]						,						*lowerCAmelCase				:			str						,						**lowerCAmelCase				:			Optional[Any]					):
										return self.tokenizer.batch_decode(*_UpperCamelCase						,						**_UpperCamelCase					)


						def   __lowercase (							self				:			Optional[Any]						,						*lowerCAmelCase				:			int						,						**lowerCAmelCase				:			Any					):
										return self.tokenizer.decode(*_UpperCamelCase						,						**_UpperCamelCase					)


						@property
						def   __lowercase (							self				:			Dict					):
										return ["input_ids", "bbox", "attention_mask", "pixel_values"]


						@property
						def   __lowercase (							self				:			Tuple					):
										warnings.warn(
										    """`feature_extractor_class` is deprecated and will be removed in v5. Use `image_processor_class` instead."""						,						_UpperCamelCase						,						)
										return self.image_processor_class




						@property
						def   __lowercase (							self				:			Optional[int]					):
										warnings.warn(
										    """`feature_extractor` is deprecated and will be removed in v5. Use `image_processor` instead."""						,						_UpperCamelCase						,						)
										return self.image_processor











"""simple docstring"""







import os
import string
import sys


a      =							1 << 8

a      =							{
    'tab': ord('\t'),
    'newline': ord('\r'),
    'esc': 2_7,
    'up': 6_5 + ARROW_KEY_FLAG,
    'down': 6_6 + ARROW_KEY_FLAG,
    'right': 6_7 + ARROW_KEY_FLAG,
    'left': 6_8 + ARROW_KEY_FLAG,
    'mod_int': 9_1,
    'undefined': sys.maxsize,
    'interrupt': 3,
    'insert': 5_0,
    'delete': 5_1,
    'pg_up': 5_3,
    'pg_down': 5_4,
}

a      =							KEYMAP['up']
a      =							KEYMAP['left']

if sys.platform == "win32":
		a      =							[]
		a      =							{
		    b'\xe0H': KEYMAP['up'] - ARROW_KEY_FLAG,
		    b'\x00H': KEYMAP['up'] - ARROW_KEY_FLAG,
		    b'\xe0P': KEYMAP['down'] - ARROW_KEY_FLAG,
		    b'\x00P': KEYMAP['down'] - ARROW_KEY_FLAG,
		    b'\xe0M': KEYMAP['right'] - ARROW_KEY_FLAG,
		    b'\x00M': KEYMAP['right'] - ARROW_KEY_FLAG,
		    b'\xe0K': KEYMAP['left'] - ARROW_KEY_FLAG,
		    b'\x00K': KEYMAP['left'] - ARROW_KEY_FLAG,
		}

for i in range(1_0):
		a      =							ord(str(i))





def 							lowercase					()     ->  str:


				'''simple docstring'''






				if os.name == "nt":
								import msvcrt

								lowerCAmelCase  =				"""mbcs"""
								# Flush the keyboard buffer
								while msvcrt.kbhit():
												msvcrt.getch()
								if len(snake_case__ ) == 0:
												# Read the keystroke
												lowerCAmelCase  =				msvcrt.getch()

												# If it is a prefix char, get second part
												if ch in (b"\x00", b"\xe0"):
																lowerCAmelCase  =				ch + msvcrt.getch()
																# Translate actual Win chars to bullet char types
																try:
																				lowerCAmelCase  =				chr(WIN_KEYMAP[cha] )
																				WIN_CH_BUFFER.append(chr(KEYMAP["""mod_int"""] ) )
																				WIN_CH_BUFFER.append(snake_case__ )
																				if ord(snake_case__ ) in (
																				    KEYMAP["insert"] - 1 << 9,
																				    KEYMAP["delete"] - 1 << 9,
																				    KEYMAP["pg_up"] - 1 << 9,
																				    KEYMAP["pg_down"] - 1 << 9,
																				):
																								WIN_CH_BUFFER.append(chr(126 ) )
																				lowerCAmelCase  =				chr(KEYMAP["""esc"""] )
																except KeyError:
																				lowerCAmelCase  =				cha[1]
												else:
																lowerCAmelCase  =				ch.decode(snake_case__ )
								else:
												lowerCAmelCase  =				WIN_CH_BUFFER.pop(0 )
				elif os.name == "posix":
								import termios
								import tty

								lowerCAmelCase  =				sys.stdin.fileno()
								lowerCAmelCase  =				termios.tcgetattr(snake_case__ )
								try:
												tty.setraw(snake_case__ )
												lowerCAmelCase  =				sys.stdin.read(1 )
								finally:
												termios.tcsetattr(snake_case__      ,       termios.TCSADRAIN      ,       snake_case__ )
				return ch






def 							lowercase					()     ->  List[str]:


				'''simple docstring'''






				lowerCAmelCase  =				get_raw_chars()
				if ord(snake_case__ ) in [KEYMAP["interrupt"], KEYMAP["newline"]]:
								return char

				elif ord(snake_case__ ) == KEYMAP["esc"]:
								lowerCAmelCase  =				get_raw_chars()
								if ord(snake_case__ ) == KEYMAP["mod_int"]:
												lowerCAmelCase  =				get_raw_chars()
												if ord(snake_case__ ) >= KEYMAP["arrow_begin"] - ARROW_KEY_FLAG and ord(snake_case__ ) <= KEYMAP["arrow_end"] - ARROW_KEY_FLAG:
																return chr(ord(snake_case__ ) + ARROW_KEY_FLAG )
												else:
																return KEYMAP["undefined"]
								else:
												return get_raw_chars()

				else:
								if char in string.printable:
												return char
								else:
												return KEYMAP["undefined"]





