


"""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 						_A  (  _a  ):







    """simple docstring"""




    UpperCAmelCase       :							str	=       """naver-clova-ix/donut-base-finetuned-docvqa"""
    UpperCAmelCase       :							Tuple	=       (
        """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."""
    )
    UpperCAmelCase       :							List[str]	=       """document_qa"""
    UpperCAmelCase       :							str	=       AutoProcessor
    UpperCAmelCase       :							Optional[int]	=       VisionEncoderDecoderModel

    UpperCAmelCase       :							int	=       ["""image""", """text"""]
    UpperCAmelCase       :							int	=       ["""text"""]






    def __init__(					self				:    Tuple				, *__UpperCAmelCase				:    Union[str, Any]				, **__UpperCAmelCase				:    Any):
      if not is_vision_available():
        raise ValueError("Pillow must be installed to use the DocumentQuestionAnsweringTool.")

      super().__init__(*__UpperCAmelCase				, **__UpperCAmelCase)






    def 	__snake_case							(					self				:    Tuple				, __UpperCAmelCase				:    "Image"				, __UpperCAmelCase				:    str):
      a						:		Any      							=			"<s_docvqa><s_question>{user_input}</s_question><s_answer>"
      a						:		Union[str, Any]      							=			task_prompt.replace("{user_input}"				, __UpperCAmelCase)
      a						:		Optional[Any]      							=			self.pre_processor.tokenizer(
          __UpperCAmelCase				, add_special_tokens=__UpperCAmelCase				, return_tensors="pt").input_ids
      a						:		Any      							=			self.pre_processor(__UpperCAmelCase				, return_tensors="pt").pixel_values

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






    def 	__snake_case							(					self				:    int				, __UpperCAmelCase				:    int):
      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=__UpperCAmelCase				, pad_token_id=self.pre_processor.tokenizer.pad_token_id				, eos_token_id=self.pre_processor.tokenizer.eos_token_id				, use_cache=__UpperCAmelCase				, num_beams=1				, bad_words_ids=[[self.pre_processor.tokenizer.unk_token_id]]				, return_dict_in_generate=__UpperCAmelCase				, ).sequences






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

      return sequence["answer"]








"""simple docstring"""




import math
import unittest

def lowercase_  (   _snake_case						):
							assert isinstance(_snake_case   ,_snake_case						) and (
							    number >= 0
							), "'number' must been an int and positive"

							if 1 < number < 4:
														# 2 and 3 are primes
														return True
							elif number < 2 or number % 2 == 0 or number % 3 == 0:
														# Negatives, 0, 1, all even numbers, all multiples of 3 are not primes
														return False

							# All primes number are in format of 6k +/- 1
							for i in range(5   ,int(math.sqrt(_snake_case						) + 1						)   ,6						):
														if number % i == 0 or number % (i + 2) == 0:
																					return False
							return True



class 	lowerCAmelCase_						(unittest.TestCase  ):


				"""simple docstring"""



				def 	__magic_name__    (self    )					->		Dict:



											"""simple docstring"""




											self.assertTrue(is_prime(2    )    )
											self.assertTrue(is_prime(3    )    )
											self.assertTrue(is_prime(5    )    )
											self.assertTrue(is_prime(7    )    )
											self.assertTrue(is_prime(11    )    )
											self.assertTrue(is_prime(13    )    )
											self.assertTrue(is_prime(17    )    )
											self.assertTrue(is_prime(19    )    )
											self.assertTrue(is_prime(23    )    )
											self.assertTrue(is_prime(29    )    )



				def 	__magic_name__    (self    )					->		List[Any]:



											"""simple docstring"""




											with self.assertRaises(SCREAMING_SNAKE_CASE__    ):
																		is_prime(-19    )
											self.assertFalse(
											    is_prime(0    )   ,       """Zero doesn't have any positive factors, primes must have exactly two."""   ,       )
											self.assertFalse(
											    is_prime(1    )   ,       """One only has 1 positive factor, primes must have exactly two."""   ,       )
											self.assertFalse(is_prime(2 * 2    )    )
											self.assertFalse(is_prime(2 * 3    )    )
											self.assertFalse(is_prime(3 * 3    )    )
											self.assertFalse(is_prime(3 * 5    )    )
											self.assertFalse(is_prime(3 * 5 * 7    )    )


if __name__ == "__main__":
					unittest.main()




