






import copy
import re



class 				__UpperCAmelCase		:
			__snake_case    :				Any									=							"hp"
			__snake_case    :				str									=							{}
			__snake_case    :				List[Any]									=							None







			@classmethod
			def 							UpperCamelCase				(     cls:  Optional[Any]				,     UpperCAmelCase_:  int				,     UpperCAmelCase_:  Optional[int]					):







									'''simple docstring'''




									_SCREAMING_SNAKE_CASE     				=  prefix
									_SCREAMING_SNAKE_CASE     				=  defaults
									cls.build_naming_info()







			@staticmethod
			def 							UpperCamelCase				(     UpperCAmelCase_:  Any				,     UpperCAmelCase_:  str					):







									'''simple docstring'''




									if len(UpperCAmelCase_					) == 0:
															return ""
									_SCREAMING_SNAKE_CASE     				=  None
									if any(char.isdigit() for char in word					):
															raise Exception(F'Parameters should not contain numbers: \'{word}\' contains a number'					)
									if word in info["short_word"]:
															return info["short_word"][word]
									for prefix_len in range(1				,     len(UpperCAmelCase_					) + 1					):
															_SCREAMING_SNAKE_CASE     				=  word[:prefix_len]
															if prefix in info["reverse_short_word"]:
																					continue
															else:
																					_SCREAMING_SNAKE_CASE     				=  prefix
																					break

									if short_word is None:
															# Paranoid fallback
															def int_to_alphabetic(UpperCAmelCase_:  List[Any]					):
																					_SCREAMING_SNAKE_CASE     				=  """"""
																					while integer != 0:
																											_SCREAMING_SNAKE_CASE     				=  chr(ord("""A"""					) + integer % 10					) + s
																											integer //= 10
																					return s

															_SCREAMING_SNAKE_CASE     				=  0
															while True:
																					_SCREAMING_SNAKE_CASE     				=  word + """#""" + int_to_alphabetic(UpperCAmelCase_					)
																					if sword in info["reverse_short_word"]:
																											continue
																					else:
																											_SCREAMING_SNAKE_CASE     				=  sword
																											break

									_SCREAMING_SNAKE_CASE     				=  short_word
									_SCREAMING_SNAKE_CASE     				=  word
									return short_word







			@staticmethod
			def 							UpperCamelCase				(     UpperCAmelCase_:  List[str]				,     UpperCAmelCase_:  List[str]					):







									'''simple docstring'''




									_SCREAMING_SNAKE_CASE     				=  param_name.split("""_"""					)

									_SCREAMING_SNAKE_CASE     				=  [TrialShortNamer.shortname_for_word(UpperCAmelCase_				,     UpperCAmelCase_					) for word in words]

									# We try to create a separatorless short name, but if there is a collision we have to fallback
									# to a separated short name
									_SCREAMING_SNAKE_CASE     				=  ["""""", """_"""]

									for separator in separators:
															_SCREAMING_SNAKE_CASE     				=  separator.join(UpperCAmelCase_					)
															if shortname not in info["reverse_short_param"]:
																					_SCREAMING_SNAKE_CASE     				=  shortname
																					_SCREAMING_SNAKE_CASE     				=  param_name
																					return shortname

									return param_name







			@staticmethod
			def 							UpperCamelCase				(     UpperCAmelCase_:  Optional[int]				,     UpperCAmelCase_:  Optional[int]					):







									'''simple docstring'''




									_SCREAMING_SNAKE_CASE     				=  TrialShortNamer.shortname_for_key(UpperCAmelCase_				,     UpperCAmelCase_					)
									_SCREAMING_SNAKE_CASE     				=  short_name
									_SCREAMING_SNAKE_CASE     				=  param_name







			@classmethod
			def 							UpperCamelCase				(     cls:  str					):







									'''simple docstring'''




									if cls.NAMING_INFO is not None:
															return

									_SCREAMING_SNAKE_CASE     				=  {
									    """short_word""": {},
									    """reverse_short_word""": {},
									    """short_param""": {},
									    """reverse_short_param""": {},
									}

									_SCREAMING_SNAKE_CASE     				=  list(cls.DEFAULTS.keys()					)

									for k in field_keys:
															cls.add_new_param_name(UpperCAmelCase_				,     UpperCAmelCase_					)

									_SCREAMING_SNAKE_CASE     				=  info







			@classmethod
			def 							UpperCamelCase				(     cls:  Any				,     UpperCAmelCase_:  Optional[Any]					):







									'''simple docstring'''




									cls.build_naming_info()
									assert cls.PREFIX is not None
									_SCREAMING_SNAKE_CASE     				=  [copy.copy(cls.PREFIX					)]

									for k, v in params.items():
															if k not in cls.DEFAULTS:
																					raise Exception(F'You should provide a default value for the param name {k} with value {v}'					)
															if v == cls.DEFAULTS[k]:
																					# The default value is not added to the name
																					continue

															_SCREAMING_SNAKE_CASE     				=  cls.NAMING_INFO["""short_param"""][k]

															if isinstance(UpperCAmelCase_				,     UpperCAmelCase_					):
																					_SCREAMING_SNAKE_CASE     				=  1 if v else 0

															_SCREAMING_SNAKE_CASE     				=  """""" if isinstance(UpperCAmelCase_				,     (int, float)					) else """-"""
															_SCREAMING_SNAKE_CASE     				=  F'{key}{sep}{v}'
															name.append(UpperCAmelCase_					)

									return "_".join(UpperCAmelCase_					)







			@classmethod
			def 							UpperCamelCase				(     cls:  int				,     UpperCAmelCase_:  int					):







									'''simple docstring'''




									_SCREAMING_SNAKE_CASE     				=  repr[len(cls.PREFIX					) + 1 :]
									if repr == "":
															_SCREAMING_SNAKE_CASE     				=  []
									else:
															_SCREAMING_SNAKE_CASE     				=  repr.split("""_"""					)

									_SCREAMING_SNAKE_CASE     				=  {}

									for value in values:
															if "-" in value:
																					_SCREAMING_SNAKE_CASE				,					_SCREAMING_SNAKE_CASE     				=  value.split("""-"""					)
															else:
																					_SCREAMING_SNAKE_CASE     				=  re.sub("""[0-9.]"""				,     """"""				,     UpperCAmelCase_					)
																					_SCREAMING_SNAKE_CASE     				=  float(re.sub("""[^0-9.]"""				,     """"""				,     UpperCAmelCase_					)					)

															_SCREAMING_SNAKE_CASE     				=  cls.NAMING_INFO["""reverse_short_param"""][p_k]

															_SCREAMING_SNAKE_CASE     				=  p_v

									for k in cls.DEFAULTS:
															if k not in parameters:
																					_SCREAMING_SNAKE_CASE     				=  cls.DEFAULTS[k]

									return parameters









# 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		(_UpperCAmelCase   ):
			__snake_case    :				Dict									=							"naver-clova-ix/donut-base-finetuned-docvqa"
			__snake_case    :				Dict									=							(
			    "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."
			)
			__snake_case    :				Dict									=							"document_qa"
			__snake_case    :				Any									=							AutoProcessor
			__snake_case    :				int									=							VisionEncoderDecoderModel

			__snake_case    :				Union[str, Any]									=							["image", "text"]
			__snake_case    :				Optional[int]									=							["text"]







			def __init__(     self:  List[Any]				,     *UpperCAmelCase_:  Optional[int]				,     **UpperCAmelCase_:  List[str]					):







									'''simple docstring'''




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

									super().__init__(*UpperCAmelCase_				,     **UpperCAmelCase_					)







			def 							UpperCamelCase				(     self:  Optional[int]				,     UpperCAmelCase_:  "Image"				,     UpperCAmelCase_:  str					):







									'''simple docstring'''




									_SCREAMING_SNAKE_CASE     				=  """<s_docvqa><s_question>{user_input}</s_question><s_answer>"""
									_SCREAMING_SNAKE_CASE     				=  task_prompt.replace("""{user_input}"""				,     UpperCAmelCase_					)
									_SCREAMING_SNAKE_CASE     				=  self.pre_processor.tokenizer(
									    UpperCAmelCase_				,     add_special_tokens=UpperCAmelCase_				,     return_tensors="""pt"""					).input_ids
									_SCREAMING_SNAKE_CASE     				=  self.pre_processor(UpperCAmelCase_				,     return_tensors="""pt"""					).pixel_values

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







			def 							UpperCamelCase				(     self:  Dict				,     UpperCAmelCase_:  str					):







									'''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=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 							UpperCamelCase				(     self:  Dict				,     UpperCAmelCase_:  Tuple					):







									'''simple docstring'''




									_SCREAMING_SNAKE_CASE     				=  self.pre_processor.batch_decode(UpperCAmelCase_					)[0]
									_SCREAMING_SNAKE_CASE     				=  sequence.replace(self.pre_processor.tokenizer.eos_token				,     """"""					)
									_SCREAMING_SNAKE_CASE     				=  sequence.replace(self.pre_processor.tokenizer.pad_token				,     """"""					)
									_SCREAMING_SNAKE_CASE     				=  re.sub(R"""<.*?>"""				,     """"""				,     UpperCAmelCase_				,     count=1					).strip()  # remove first task start token
									_SCREAMING_SNAKE_CASE     				=  self.pre_processor.tokenajson(UpperCAmelCase_					)

									return sequence["answer"]

