




from __future__ import annotations

import os
class 							__lowercase   :
     _lowerCAmelCase		       =						(
         "High card",
         "One pair",
         "Two pairs",
         "Three of a kind",
         "Straight",
         "Flush",
         "Full house",
         "Four of a kind",
         "Straight flush",
         "Royal flush",
     )

     _lowerCAmelCase		       =						(
         "",  # placeholder as tuples are zero-indexed
         "One",
         "Two",
         "Three",
         "Four",
         "Five",
         "Six",
         "Seven",
         "Eight",
         "Nine",
         "Ten",
         "Jack",
         "Queen",
         "King",
         "Ace",
     )



     def __init__(  self   :							List[str]      ,		lowercase__   :							str       ):
       if not isinstance(lowercase__      ,		lowercase__       ):
         a_		    =  f"Hand should be of type 'str': {hand!r}"
         raise TypeError(lowercase__       )
       # split removes duplicate whitespaces so no need of strip
       if len(hand.split(''' '''       )       ) != 5:
         a_		    =  f"Hand should contain only 5 cards: {hand!r}"
         raise ValueError(lowercase__       )
       a_		    =  hand
       a_		    =  0
       a_		    =  0
       a_    , a_		    =  self._internal_state()
       a_		    =  self._get_hand_type()
       a_		    =  self._card_values[0]



     @property
     def 				__magic_name__		(  self   :							Dict       ):
       return self._hand



     def 				__magic_name__		(  self   :							Union[str, Any]      ,		lowercase__   :							PokerHand       ):
       # Breaking the tie works on the following order of precedence:
       # 1. First pair (default 0)
       # 2. Second pair (default 0)
       # 3. Compare all cards in reverse order because they are sorted.

       # First pair and second pair will only be a non-zero value if the card
       # type is either from the following:
       # 21: Four of a kind
       # 20: Full house
       # 17: Three of a kind
       # 16: Two pairs
       # 15: One pair
       if self._hand_type > other._hand_type:
         return "Win"
       elif self._hand_type < other._hand_type:
         return "Loss"
       elif self._first_pair == other._first_pair:
         if self._second_pair == other._second_pair:
           return self._compare_cards(lowercase__       )
         else:
           return "Win" if self._second_pair > other._second_pair else "Loss"
       return "Win" if self._first_pair > other._first_pair else "Loss"



     def 				__magic_name__		(  self   :							List[str]       ):
       a_		    =  PokerHand._HAND_NAME[self._hand_type - 1_4]
       a_		    =  PokerHand._CARD_NAME[self._high_card]
       a_		    =  PokerHand._CARD_NAME[self._first_pair]
       a_		    =  PokerHand._CARD_NAME[self._second_pair]
       if self._hand_type in [2_2, 1_9, 1_8]:
         return name + f", {high}-high"
       elif self._hand_type in [2_1, 1_7, 1_5]:
         return name + f", {paira}s"
       elif self._hand_type in [2_0, 1_6]:
         a_		    =  '''over''' if self._hand_type == 2_0 else '''and'''
         return name + f", {paira}s {join} {paira}s"
       elif self._hand_type == 2_3:
         return name
       else:
         return name + f", {high}"



     def 				__magic_name__		(  self   :							List[str]      ,		lowercase__   :							PokerHand       ):
       # Enumerate gives us the index as well as the element of a list
       for index, card_value in enumerate(self._card_values       ):
         if card_value != other._card_values[index]:
           return "Win" if card_value > other._card_values[index] else "Loss"
       return "Tie"



     def 				__magic_name__		(  self   :							Any       ):
       # Number representing the type of hand internally:
       # 23: Royal flush
       # 22: Straight flush
       # 21: Four of a kind
       # 20: Full house
       # 19: Flush
       # 18: Straight
       # 17: Three of a kind
       # 16: Two pairs
       # 15: One pair
       # 14: High card
       if self._is_flush():
         if self._is_five_high_straight() or self._is_straight():
           return 2_3 if sum(self._card_values       ) == 6_0 else 2_2
         return 1_9
       elif self._is_five_high_straight() or self._is_straight():
         return 1_8
       return 1_4 + self._is_same_kind()



     def 				__magic_name__		(  self   :							Union[str, Any]       ):
       return len(self._card_suit       ) == 1



     def 				__magic_name__		(  self   :							Union[str, Any]       ):
       # If a card is a five high straight (low ace) change the location of
       # ace from the start of the list to the end. Check whether the first
       # element is ace or not. (Don't want to change again)
       # Five high straight (low ace): AH 2H 3S 4C 5D
       # Why use sorted here? One call to this function will mutate the list to
       # [5, 4, 3, 2, 14] and so for subsequent calls (which will be rare) we
       # need to compare the sorted version.
       # Refer test_multiple_calls_five_high_straight in test_poker_hand.py
       if sorted(self._card_values       ) == [2, 3, 4, 5, 1_4]:
         if self._card_values[0] == 1_4:
           # Remember, our list is sorted in reverse order
           a_		    =  self._card_values.pop(0       )
           self._card_values.append(lowercase__       )
         return True
       return False



     def 				__magic_name__		(  self   :							Tuple       ):
       for i in range(4       ):
         if self._card_values[i] - self._card_values[i + 1] != 1:
           return False
       return True



     def 				__magic_name__		(  self   :							Optional[int]       ):
       # Kind Values for internal use:
       # 7: Four of a kind
       # 6: Full house
       # 3: Three of a kind
       # 2: Two pairs
       # 1: One pair
       # 0: False
       a_		    =  a_		    =  a_		    =  0
       for i in range(4       ):
         # Compare two cards at a time, if they are same increase 'kind',
         # add the value of the card to val1, if it is repeating again we
         # will add 2 to 'kind' as there are now 3 cards with same value.
         # If we get card of different value than val1, we will do the same
         # thing with val2
         if self._card_values[i] == self._card_values[i + 1]:
           if not vala:
             a_		    =  self._card_values[i]
             kind += 1
           elif vala == self._card_values[i]:
             kind += 2
           elif not vala:
             a_		    =  self._card_values[i]
             kind += 1
           elif vala == self._card_values[i]:
             kind += 2
        # For consistency in hand type (look at note in _get_hand_type function)
       a_		    =  kind + 2 if kind in [4, 5] else kind
       # first meaning first pair to compare in 'compare_with'
       a_		    =  max(lowercase__      ,		lowercase__       )
       a_		    =  min(lowercase__      ,		lowercase__       )
       # If it's full house (three count pair + two count pair), make sure
       # first pair is three count and if not then switch them both.
       if kind == 6 and self._card_values.count(lowercase__       ) != 3:
         a_    , a_		    =  second, first
       a_		    =  first
       a_		    =  second
       return kind



     def 				__magic_name__		(  self   :							List[str]       ):
       # Internal representation of hand as a list of card values and
       # a set of card suit
       a_		    =  {"T": "10", "J": "11", "Q": "12", "K": "13", "A": "14"}
       a_		    =  self._hand.translate(str.maketrans(lowercase__       )       ).split()
       a_		    =  [int(card[:-1]       ) for card in new_hand]
       a_		    =  {card[-1] for card in new_hand}
       return sorted(lowercase__      ,		reverse=lowercase__       ), card_suit



     def __repr__(  self   :							Optional[int]       ):
       return f"{self.__class__}(\"{self._hand}\")"



     def __str__(  self   :							Tuple       ):
       return self._hand



     def __eq__(  self   :							Any      ,		lowercase__   :							Union[str, Any]       ):
       if isinstance(lowercase__      ,		lowercase__       ):
         return self.compare_with(lowercase__       ) == "Tie"
       return NotImplemented



     def __lt__(  self   :							int      ,		lowercase__   :							Any       ):
       if isinstance(lowercase__      ,		lowercase__       ):
         return self.compare_with(lowercase__       ) == "Loss"
       return NotImplemented



     def __le__(  self   :							List[Any]      ,		lowercase__   :							Optional[int]       ):
       if isinstance(lowercase__      ,		lowercase__       ):
         return self < other or self == other
       return NotImplemented



     def __gt__(  self   :							Any      ,		lowercase__   :							List[Any]       ):
       if isinstance(lowercase__      ,		lowercase__       ):
         return not self < other and self != other
       return NotImplemented



     def __ge__(  self   :							Any      ,		lowercase__   :							Tuple       ):
       if isinstance(lowercase__      ,		lowercase__       ):
         return not self < other
       return NotImplemented



     def __hash__(  self   :							Optional[int]       ):
       return object.__hash__(self       )






def 				UpperCAmelCase__  (							):






  """simple docstring"""


  a_		    =  0
  a_		    =  os.path.abspath(os.path.dirname(_A			)			)
  a_		    =  os.path.join(_A      ,      '''poker_hands.txt'''			)
  with open(_A			) as file_hand:
    for line in file_hand:
      a_		    =  line[:14].strip()
      a_		    =  line[15:].strip()
      a_    , a_		    =  PokerHand(_A			), PokerHand(_A			)
      a_		    =  player.compare_with(_A			)
      if output == "Win":
        answer += 1
  return answer


if __name__ == "__main__":
  solution()






import logging
import random

import ray

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


UpperCamelCase__       				=	logging.getLogger(__name__)
class 							__lowercase   :



     def __init__(  self   :							List[str]       ):
       a_		    =  False



     def 				__magic_name__		(  self   :							Union[str, Any]      ,		lowercase__   :							List[str]      ,		lowercase__   :							Optional[int]      ,		lowercase__   :							Optional[Any]      ,		lowercase__   :							Union[str, Any]       ):
       if not self.initialized:
         a_		    =  RagRetriever(
             lowercase__      ,		question_encoder_tokenizer=lowercase__      ,		generator_tokenizer=lowercase__      ,		index=lowercase__      ,		init_retrieval=lowercase__      ,		)
         a_		    =  True



     def 				__magic_name__		(  self   :							List[Any]       ):
       self.retriever.index.init_index()



     def 				__magic_name__		(  self   :							List[Any]       ):
       # delete the old self.retriever object before assigning the new index
       del self.retriever
       a_		    =  False



     def 				__magic_name__		(  self   :							Optional[Any]      ,		lowercase__   :							List[str]      ,		lowercase__   :							Dict       ):
       a_    , a_		    =  self.retriever._main_retrieve(lowercase__      ,		lowercase__       )
       a_		    =  self.retriever.index.get_doc_dicts(lowercase__       )
       return doc_ids, retrieved_doc_embeds, doc_dicts



class 							__lowercase   (			a__    ):



     def __init__(  self   :							List[Any]      ,		lowercase__   :							Optional[int]      ,		lowercase__   :							List[str]      ,		lowercase__   :							Tuple      ,		lowercase__   :							Dict      ,		lowercase__   :							Dict=None       ):
       if index is not None and index.is_initialized() and len(lowercase__       ) > 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__(
           lowercase__      ,		question_encoder_tokenizer=lowercase__      ,		generator_tokenizer=lowercase__      ,		index=lowercase__      ,		init_retrieval=lowercase__      ,		)

       a_		    =  retrieval_workers
       a_		    =  question_encoder_tokenizer
       a_		    =  generator_tokenizer
       if len(self.retrieval_workers       ) > 0:
         ray.get(
             [
                 worker.create_rag_retriever.remote(lowercase__      ,		lowercase__      ,		lowercase__      ,		lowercase__       )
                 for worker in self.retrieval_workers
             ]       )



     def 				__magic_name__		(  self   :							int       ):
       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 				__magic_name__		(  self   :							str      ,		lowercase__   :							List[str]      ,		lowercase__   :							Any       ):
       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_    , a_		    =  ray.get(
             random_worker.retrieve.remote(lowercase__      ,		lowercase__       )       )
       else:
         a_    , a_		    =  self._main_retrieve(lowercase__      ,		lowercase__       )
         a_		    =  self.index.get_doc_dicts(lowercase__       )
       return retrieved_doc_embeds, doc_ids, doc_dicts



     @classmethod
     def 				__magic_name__		(  cls   :							Dict      ,		lowercase__   :							Optional[Any]      ,		lowercase__   :							List[str]=None      ,		**lowercase__   :							int       ):
       return super(lowercase__      ,		cls       ).get_tokenizers(lowercase__      ,		lowercase__      ,		**lowercase__       )



     @classmethod
     def 				__magic_name__		(  cls   :							Tuple      ,		lowercase__   :							Any      ,		lowercase__   :							str      ,		lowercase__   :							List[Any]=None      ,		**lowercase__   :							Union[str, Any]       ):
       a_		    =  kwargs.pop('''config'''      ,		lowercase__       ) or RagConfig.from_pretrained(lowercase__      ,		**lowercase__       )
       a_		    =  RagTokenizer.from_pretrained(lowercase__      ,		config=lowercase__       )
       a_		    =  rag_tokenizer.question_encoder
       a_		    =  rag_tokenizer.generator

       if indexed_dataset is not None:
         a_		    =  '''custom'''
         a_		    =  CustomHFIndex(config.retrieval_vector_size      ,		lowercase__       )
       else:
         a_		    =  cls._build_index(lowercase__       )

       return cls(
           lowercase__      ,		question_encoder_tokenizer=lowercase__      ,		generator_tokenizer=lowercase__      ,		retrieval_workers=lowercase__      ,		index=lowercase__      ,		)



     def 				__magic_name__		(  self   :							Optional[Any]       ):
       logger.info('''re-loading the new dataset with embeddings'''       )
       # access from the training loop

       ray.get([worker.clear_object.remote() for worker in self.retrieval_workers]       )

       # build the index object again
       a_		    =  self._build_index(self.config       )

       ray.get(
           [
               worker.create_rag_retriever.remote(
                   self.config      ,		self.question_encoder_tokenizer      ,		self.generator_tokenizer      ,		lowercase__       )
               for worker in self.retrieval_workers
           ]       )
