


'''simple docstring'''



# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import re

from ..models.auto import AutoProcessor
from ..models.vision_encoder_decoder import VisionEncoderDecoderModel
from ..utils import is_vision_available
from .base import PipelineTool


if is_vision_available():
	from PIL import Image





class 							__UpperCamelCase				(		lowerCAmelCase_					):
	A_				=    "naver-clova-ix/donut-base-finetuned-docvqa"
	A_				=    (
	    "This is a tool that answers a question about an document (pdf). It takes an input named `document` which "
	    "should be the document containing the information, as well as a `question` that is the question about the "
	    "document. It returns a text that contains the answer to the question."
	)
	A_				=    "document_qa"
	A_				=    AutoProcessor
	A_				=    VisionEncoderDecoderModel

	A_				=    ["image", "text"]
	A_				=    ["text"]




	def __init__(   self						,				*__a						,				**__a							):

						'''simple docstring'''





						if not is_vision_available():
											raise ValueError('Pillow must be installed to use the DocumentQuestionAnsweringTool.'							)

						super().__init__(*__a						,				**__a							)




	def       __UpperCAmelCase							(   self						,				__a						,				__a							):

						'''simple docstring'''





						__a			:       List[str]					    =  '<s_docvqa><s_question>{user_input}</s_question><s_answer>'
						__a			:       Any					    =  task_prompt.replace('{user_input}'						,				__a							)
						__a			:       Optional[Any]					    =  self.pre_processor.tokenizer(
						    __a						,				add_special_tokens=__a						,				return_tensors='pt'							).input_ids
						__a			:       Optional[int]					    =  self.pre_processor(__a						,				return_tensors='pt'							).pixel_values

						return {"decoder_input_ids": decoder_input_ids, "pixel_values": pixel_values}




	def       __UpperCAmelCase							(   self						,				__a							):

						'''simple docstring'''





						return self.model.generate(
						    inputs['pixel_values'].to(self.device							)						,				decoder_input_ids=inputs['decoder_input_ids'].to(self.device							)						,				max_length=self.model.decoder.config.max_position_embeddings						,				early_stopping=__a						,				pad_token_id=self.pre_processor.tokenizer.pad_token_id						,				eos_token_id=self.pre_processor.tokenizer.eos_token_id						,				use_cache=__a						,				num_beams=1						,				bad_words_ids=[[self.pre_processor.tokenizer.unk_token_id]]						,				return_dict_in_generate=__a						,				).sequences





	def       __UpperCAmelCase							(   self						,				__a							):

						'''simple docstring'''





						__a			:       Union[str, Any]					    =  self.pre_processor.batch_decode(__a							)[0]
						__a			:       str					    =  sequence.replace(self.pre_processor.tokenizer.eos_token						,				''							)
						__a			:       List[str]					    =  sequence.replace(self.pre_processor.tokenizer.pad_token						,				''							)
						__a			:       Any					    =  re.sub(r'<.*?>'						,				''						,				__a						,				count=1							).strip()  # remove first task start token
						__a			:       Tuple					    =  self.pre_processor.tokenajson(__a							)

						return sequence["answer"]











from __future__ import annotations

import math

lowerCamelCase       :       List[Any]        =				'''2020.9.26'''
lowerCamelCase       :       str        =				'''xcodz-dot, cclaus, dhruvmanila'''
def 					snake_case_						(   lowerCAmelCase_				:  float				,				lowerCAmelCase_				:  float				,				lowerCAmelCase_				:  float				,				lowerCAmelCase_				:  float				,				lowerCAmelCase_				:  float					):
							if not all(isinstance(lowerCAmelCase_				,				(float, int)					) for val in locals().values()					):
														__lowercase					:							str			=   F"Input values must either be float or int: {list(locals().values()					)}"
														raise TypeError(lowerCAmelCase_					)
							__lowercase					:							List[Any]			=   ((x * distance) / (z + distance)) * scale
							__lowercase					:							Tuple			=   ((y * distance) / (z + distance)) * scale
							return projected_x, projected_y
def 					snake_case_						(   lowerCAmelCase_				:  float				,				lowerCAmelCase_				:  float				,				lowerCAmelCase_				:  float				,				lowerCAmelCase_				:  str				,				lowerCAmelCase_				:  float					):
							if not isinstance(lowerCAmelCase_				,				lowerCAmelCase_					):
														raise TypeError("""Axis must be a str"""					)
							__lowercase					:							Optional[int]			=   locals()
							del input_variables["axis"]
							if not all(isinstance(lowerCAmelCase_				,				(float, int)					) for val in input_variables.values()					):
														__lowercase					:							List[str]			=   (
														    """Input values except axis must either be float or int: """
														    F"{list(input_variables.values()					)}"
														)
														raise TypeError(lowerCAmelCase_					)
							__lowercase					:							Tuple			=   (angle % 360) / 450 * 180 / math.pi
							if axis == "z":
														__lowercase					:							int			=   x * math.cos(lowerCAmelCase_					) - y * math.sin(lowerCAmelCase_					)
														__lowercase					:							Tuple			=   y * math.cos(lowerCAmelCase_					) + x * math.sin(lowerCAmelCase_					)
														__lowercase					:							Union[str, Any]			=   z
							elif axis == "x":
														__lowercase					:							str			=   y * math.cos(lowerCAmelCase_					) - z * math.sin(lowerCAmelCase_					)
														__lowercase					:							Dict			=   z * math.cos(lowerCAmelCase_					) + y * math.sin(lowerCAmelCase_					)
														__lowercase					:							List[str]			=   x
							elif axis == "y":
														__lowercase					:							List[str]			=   x * math.cos(lowerCAmelCase_					) - z * math.sin(lowerCAmelCase_					)
														__lowercase					:							List[str]			=   z * math.cos(lowerCAmelCase_					) + x * math.sin(lowerCAmelCase_					)
														__lowercase					:							List[Any]			=   y
							else:
														raise ValueError("""not a valid axis, choose one of 'x', 'y', 'z'"""					)

							return new_x, new_y, new_z


if __name__ == "__main__":
	import doctest

	doctest.testmod()
	print(f'''{convert_to_ad(1.0, 2.0, 3.0, 10.0, 10.0) = }''')
	print(f'''{rotate(1.0, 2.0, 3.0, "y", 90.0) = }''')