






import logging
import random

import ray

from transformers import RagConfig, RagRetriever, RagTokenizer
from transformers.models.rag.retrieval_rag import CustomHFIndex


lowerCAmelCase_           = logging.getLogger(__name__)
class      UpperCamelCase :







  """simple docstring"""



  def __init__(  self		:       Union[str, Any]		)    ->   int:


      '''simple docstring'''
      A	 =      False
  def       A(  self		:       str						,_SCREAMING_SNAKE_CASE		:       Optional[Any]						,_SCREAMING_SNAKE_CASE		:       Optional[int]						,_SCREAMING_SNAKE_CASE		:       Optional[int]						,_SCREAMING_SNAKE_CASE		:       Dict		)    ->   Dict:


      '''simple docstring'''
      if not self.initialized:
          A	 =      RagRetriever(
              _SCREAMING_SNAKE_CASE						,question_encoder_tokenizer=_SCREAMING_SNAKE_CASE						,generator_tokenizer=_SCREAMING_SNAKE_CASE						,index=_SCREAMING_SNAKE_CASE						,init_retrieval=_SCREAMING_SNAKE_CASE						,)
          A	 =      True
  def       A(  self		:       Any		)    ->   Optional[int]:


      '''simple docstring'''
      self.retriever.index.init_index()







  def       A(  self		:       List[Any]						,_SCREAMING_SNAKE_CASE		:       Optional[Any]						,_SCREAMING_SNAKE_CASE		:       Optional[int]		)    ->   Dict:


      '''simple docstring'''
      A ,		A	 =      self.retriever._main_retrieve(_SCREAMING_SNAKE_CASE						,_SCREAMING_SNAKE_CASE		)
      return doc_ids, retrieved_doc_embeds


class      UpperCamelCase (				snake_case__ ):







  """simple docstring"""



  def __init__(  self		:       int						,_SCREAMING_SNAKE_CASE		:       Optional[Any]						,_SCREAMING_SNAKE_CASE		:       Optional[int]						,_SCREAMING_SNAKE_CASE		:       Optional[int]						,_SCREAMING_SNAKE_CASE		:       Dict						,_SCREAMING_SNAKE_CASE		:       List[str]=None		)    ->   Tuple:


      '''simple docstring'''
      if index is not None and index.is_initialized() and len(_SCREAMING_SNAKE_CASE		) > 0:
          raise ValueError(
              'When using Ray for distributed fine-tuning, '
              'you\'ll need to provide the paths instead, '
              'as the dataset and the index are loaded '
              'separately. More info in examples/rag/use_own_knowledge_dataset.py '		)
      super().__init__(
          _SCREAMING_SNAKE_CASE						,question_encoder_tokenizer=_SCREAMING_SNAKE_CASE						,generator_tokenizer=_SCREAMING_SNAKE_CASE						,index=_SCREAMING_SNAKE_CASE						,init_retrieval=_SCREAMING_SNAKE_CASE						,)
      A	 =      retrieval_workers
      if len(self.retrieval_workers		) > 0:
          ray.get(
              [
                  worker.create_rag_retriever.remote(_SCREAMING_SNAKE_CASE						,_SCREAMING_SNAKE_CASE						,_SCREAMING_SNAKE_CASE						,_SCREAMING_SNAKE_CASE		)
                  for worker in self.retrieval_workers
              ]		)
  def       A(  self		:       Tuple		)    ->   int:


      '''simple docstring'''
      logger.info('initializing retrieval'		)

      if len(self.retrieval_workers		) > 0:
          ray.get([worker.init_retrieval.remote() for worker in self.retrieval_workers]		)
      else:
          # Non-distributed training. Load index into this same process.
          self.index.init_index()
  def       A(  self		:       Tuple						,_SCREAMING_SNAKE_CASE		:       Union[str, Any]						,_SCREAMING_SNAKE_CASE		:       int		)    ->   Dict:


      '''simple docstring'''
      if len(self.retrieval_workers		) > 0:
          # Select a random retrieval actor.
          A	 =      self.retrieval_workers[random.randint(0						,len(self.retrieval_workers		) - 1		)]
          A ,		A	 =      ray.get(random_worker.retrieve.remote(_SCREAMING_SNAKE_CASE						,_SCREAMING_SNAKE_CASE		)		)
      else:
          A ,		A	 =      self._main_retrieve(_SCREAMING_SNAKE_CASE						,_SCREAMING_SNAKE_CASE		)
      return retrieved_doc_embeds, doc_ids, self.index.get_doc_dicts(_SCREAMING_SNAKE_CASE		)
  @classmethod
  def       A(  cls		:       Union[str, Any]						,_SCREAMING_SNAKE_CASE		:       Any						,_SCREAMING_SNAKE_CASE		:       Union[str, Any]=None						,**_SCREAMING_SNAKE_CASE		:       Any		)    ->   List[str]:


      '''simple docstring'''
      return super(_SCREAMING_SNAKE_CASE						,cls		).get_tokenizers(_SCREAMING_SNAKE_CASE						,_SCREAMING_SNAKE_CASE						,**_SCREAMING_SNAKE_CASE		)







  @classmethod
  def       A(  cls		:       Union[str, Any]						,_SCREAMING_SNAKE_CASE		:       Any						,_SCREAMING_SNAKE_CASE		:       Dict						,_SCREAMING_SNAKE_CASE		:       Any=None						,**_SCREAMING_SNAKE_CASE		:       int		)    ->   str:


      '''simple docstring'''
      A	 =      kwargs.pop('config'						,_SCREAMING_SNAKE_CASE		) or RagConfig.from_pretrained(_SCREAMING_SNAKE_CASE						,**_SCREAMING_SNAKE_CASE		)
      A	 =      RagTokenizer.from_pretrained(_SCREAMING_SNAKE_CASE						,config=_SCREAMING_SNAKE_CASE		)
      A	 =      rag_tokenizer.question_encoder
      A	 =      rag_tokenizer.generator
      if indexed_dataset is not None:
          A	 =      'custom'
          A	 =      CustomHFIndex(config.retrieval_vector_size						,_SCREAMING_SNAKE_CASE		)
      else:
          A	 =      cls._build_index(_SCREAMING_SNAKE_CASE		)
      return cls(
          _SCREAMING_SNAKE_CASE						,question_encoder_tokenizer=_SCREAMING_SNAKE_CASE						,generator_tokenizer=_SCREAMING_SNAKE_CASE						,retrieval_workers=_SCREAMING_SNAKE_CASE						,index=_SCREAMING_SNAKE_CASE						,)













import copy
import re
class      UpperCamelCase :







		"""simple docstring"""



		snake_case    =   "hp"
		snake_case    =   {}
		snake_case    =   None
		@classmethod
		def       A(  cls		:       Union[str, Any]						,_SCREAMING_SNAKE_CASE		:       int						,_SCREAMING_SNAKE_CASE		:       List[Any]		)    ->   int:


						'''simple docstring'''
						A	 =      prefix
						A	 =      defaults
						cls.build_naming_info()
		@staticmethod
		def       A(  _SCREAMING_SNAKE_CASE		:       List[str]						,_SCREAMING_SNAKE_CASE		:       List[Any]		)    ->   Optional[Any]:


						'''simple docstring'''
						if len(_SCREAMING_SNAKE_CASE		) == 0:
										return ""
						A	 =      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(_SCREAMING_SNAKE_CASE		) + 1		):
										A	 =      word[:prefix_len]
										if prefix in info["reverse_short_word"]:
														continue
										else:
														A	 =      prefix
														break

						if short_word is None:
										# Paranoid fallback
										def int_to_alphabetic(_SCREAMING_SNAKE_CASE		:       Optional[int]		):
														A	 =      ''
														while integer != 0:
																		A	 =      chr(ord('A'		) + integer % 1_0		) + s
																		integer //= 1_0
														return s

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

						A	 =      short_word
						A	 =      word
						return short_word
		@staticmethod
		def       A(  _SCREAMING_SNAKE_CASE		:       Optional[int]						,_SCREAMING_SNAKE_CASE		:       Optional[int]		)    ->   int:


						'''simple docstring'''
						A	 =      param_name.split('_'		)

						A	 =      [TrialShortNamer.shortname_for_word(_SCREAMING_SNAKE_CASE						,_SCREAMING_SNAKE_CASE		) 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
						A	 =      ['', '_']

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

						return param_name
		@staticmethod
		def       A(  _SCREAMING_SNAKE_CASE		:       Optional[Any]						,_SCREAMING_SNAKE_CASE		:       Optional[int]		)    ->   List[str]:


						'''simple docstring'''
						A	 =      TrialShortNamer.shortname_for_key(_SCREAMING_SNAKE_CASE						,_SCREAMING_SNAKE_CASE		)
						A	 =      short_name
						A	 =      param_name
		@classmethod
		def       A(  cls		:       Optional[int]		)    ->   str:


						'''simple docstring'''
						if cls.NAMING_INFO is not None:
										return

						A	 =      {
						    'short_word': {},
						    'reverse_short_word': {},
						    'short_param': {},
						    'reverse_short_param': {},
						}

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

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

						A	 =      info
		@classmethod
		def       A(  cls		:       List[str]						,_SCREAMING_SNAKE_CASE		:       str		)    ->   List[Any]:


						'''simple docstring'''
						cls.build_naming_info()
						assert cls.PREFIX is not None
						A	 =      [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

										A	 =      cls.NAMING_INFO['short_param'][k]

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

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

						return "_".join(_SCREAMING_SNAKE_CASE		)







		@classmethod
		def       A(  cls		:       int						,_SCREAMING_SNAKE_CASE		:       Optional[int]		)    ->   str:


						'''simple docstring'''
						A	 =      repr[len(cls.PREFIX		) + 1 :]
						if repr == "":
										A	 =      []
						else:
										A	 =      repr.split('_'		)

						A	 =      {}

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

										A	 =      cls.NAMING_INFO['reverse_short_param'][p_k]

										A	 =      p_v

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

						return parameters





