

from __future__ import annotations

import os





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

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




  def __init__(    self							,       lowerCAmelCase )  ->			None:
        '''simple docstring'''






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




  @property
  def   A__					(    self )  ->			Tuple:
        '''simple docstring'''






        return self._hand




  def   A__					(    self							,       lowerCAmelCase )  ->			str:
        '''simple docstring'''






        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(lowerCAmelCase )
              else:
                    return "Win" if self._second_pair > other._second_pair else "Loss"
        return "Win" if self._first_pair > other._first_pair else "Loss"




  def   A__					(    self )  ->			str:
        '''simple docstring'''






        _lowercase     	=PokerHand._HAND_NAME[self._hand_type - 14]
        _lowercase     	=PokerHand._CARD_NAME[self._high_card]
        _lowercase     	=PokerHand._CARD_NAME[self._first_pair]
        _lowercase     	=PokerHand._CARD_NAME[self._second_pair]
        if self._hand_type in [22, 19, 18]:
              return name + F''', {high}-high'''
        elif self._hand_type in [21, 17, 15]:
              return name + F''', {paira}s'''
        elif self._hand_type in [20, 16]:
              _lowercase     	='over' if self._hand_type == 20 else 'and'
              return name + F''', {paira}s {join} {paira}s'''
        elif self._hand_type == 23:
              return name
        else:
              return name + F''', {high}'''




  def   A__					(    self							,       lowerCAmelCase )  ->			str:
        '''simple docstring'''






        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   A__					(    self )  ->			int:
        '''simple docstring'''






        if self._is_flush():
              if self._is_five_high_straight() or self._is_straight():
                    return 23 if sum(self._card_values ) == 60 else 22
              return 19
        elif self._is_five_high_straight() or self._is_straight():
              return 18
        return 14 + self._is_same_kind()




  def   A__					(    self )  ->			bool:
        '''simple docstring'''






        return len(self._card_suit ) == 1




  def   A__					(    self )  ->			bool:
        '''simple docstring'''






        if sorted(self._card_values ) == [2, 3, 4, 5, 14]:
              if self._card_values[0] == 14:
                    # Remember, our list is sorted in reverse order
                    _lowercase     	=self._card_values.pop(0 )
                    self._card_values.append(lowerCAmelCase )
              return True
        return False




  def   A__					(    self )  ->			bool:
        '''simple docstring'''






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




  def   A__					(    self )  ->			int:
        '''simple docstring'''






        _lowercase     	=_lowercase     	=_lowercase     	=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:
                          _lowercase     	=self._card_values[i]
                          kind += 1
                    elif vala == self._card_values[i]:
                          kind += 2
                    elif not vala:
                          _lowercase     	=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)
        _lowercase     	=kind + 2 if kind in [4, 5] else kind
        # first meaning first pair to compare in 'compare_with'
        _lowercase     	=max(lowerCAmelCase							,       lowerCAmelCase )
        _lowercase     	=min(lowerCAmelCase							,       lowerCAmelCase )
        # 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(lowerCAmelCase ) != 3:
              _lowercase	,	_lowercase     	=second, first
        _lowercase     	=first
        _lowercase     	=second
        return kind




  def   A__					(    self )  ->			tuple[list[int], set[str]]:
        '''simple docstring'''






        _lowercase     	={"T": "10", "J": "11", "Q": "12", "K": "13", "A": "14"}
        _lowercase     	=self._hand.translate(str.maketrans(lowerCAmelCase ) ).split()
        _lowercase     	=[int(card[:-1] ) for card in new_hand]
        _lowercase     	={card[-1] for card in new_hand}
        return sorted(lowerCAmelCase							,       reverse=lowerCAmelCase ), card_suit




  def __repr__(    self )  ->			List[Any]:
        '''simple docstring'''






        return F'''{self.__class__}("{self._hand}")'''




  def __str__(    self )  ->			Optional[Any]:
        '''simple docstring'''






        return self._hand




  def __eq__(    self							,       lowerCAmelCase )  ->			str:
        '''simple docstring'''






        if isinstance(lowerCAmelCase							,       lowerCAmelCase ):
              return self.compare_with(lowerCAmelCase ) == "Tie"
        return NotImplemented




  def __lt__(    self							,       lowerCAmelCase )  ->			List[Any]:
        '''simple docstring'''






        if isinstance(lowerCAmelCase							,       lowerCAmelCase ):
              return self.compare_with(lowerCAmelCase ) == "Loss"
        return NotImplemented




  def __le__(    self							,       lowerCAmelCase )  ->			List[Any]:
        '''simple docstring'''






        if isinstance(lowerCAmelCase							,       lowerCAmelCase ):
              return self < other or self == other
        return NotImplemented




  def __gt__(    self							,       lowerCAmelCase )  ->			Union[str, Any]:
        '''simple docstring'''






        if isinstance(lowerCAmelCase							,       lowerCAmelCase ):
              return not self < other and self != other
        return NotImplemented




  def __ge__(    self							,       lowerCAmelCase )  ->			Optional[int]:
        '''simple docstring'''






        if isinstance(lowerCAmelCase							,       lowerCAmelCase ):
              return not self < other
        return NotImplemented




  def __hash__(    self )  ->			Any:
        '''simple docstring'''






        return object.__hash__(self )
def 					a				(      )   ->				int:





      """simple docstring"""



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


if __name__ == "__main__":
  solution()





import json
import os
import shutil
import tempfile
import unittest

from transformers.models.wavaveca import WavaVecaCTCTokenizer, WavaVecaFeatureExtractor, WavaVecaProcessor
from transformers.models.wavaveca.tokenization_wavaveca import VOCAB_FILES_NAMES
from transformers.utils import FEATURE_EXTRACTOR_NAME

from .test_feature_extraction_wavaveca import floats_list





class 			__lowerCAmelCase					( unittest.TestCase							):




  def   A__					(    self )  ->			Tuple:
        '''simple docstring'''






        _lowercase     	='<pad> <s> </s> <unk> | E T A O N I H S R D L U M W C F G Y P B V K \' X J Q Z'.split(' ' )
        _lowercase     	=dict(zip(lowerCAmelCase							,       range(len(lowerCAmelCase ) ) ) )

        _lowercase     	={
            'pad_token': '<pad>',
            'unk_token': '<unk>',
            'bos_token': '<s>',
            'eos_token': '</s>',
        }
        _lowercase     	={
            'feature_size': 1,
            'padding_value': 0.0,
            'sampling_rate': 16_000,
            'return_attention_mask': False,
            'do_normalize': True,
        }

        _lowercase     	=tempfile.mkdtemp()
        _lowercase     	=os.path.join(self.tmpdirname							,       VOCAB_FILES_NAMES['vocab_file'] )
        _lowercase     	=os.path.join(self.tmpdirname							,       lowerCAmelCase )
        with open(self.vocab_file							,       'w'							,       encoding='utf-8' ) as fp:
              fp.write(json.dumps(lowerCAmelCase ) + '\n' )

        with open(self.feature_extraction_file							,       'w'							,       encoding='utf-8' ) as fp:
              fp.write(json.dumps(lowerCAmelCase ) + '\n' )




  def   A__					(    self							,       **lowerCAmelCase )  ->			Optional[Any]:
        '''simple docstring'''






        _lowercase     	=self.add_kwargs_tokens_map.copy()
        kwargs.update(lowerCAmelCase )
        return WavaVecaCTCTokenizer.from_pretrained(self.tmpdirname							,       **lowerCAmelCase )




  def   A__					(    self							,       **lowerCAmelCase )  ->			List[str]:
        '''simple docstring'''






        return WavaVecaFeatureExtractor.from_pretrained(self.tmpdirname							,       **lowerCAmelCase )




  def   A__					(    self )  ->			Union[str, Any]:
        '''simple docstring'''






        shutil.rmtree(self.tmpdirname )




  def   A__					(    self )  ->			Optional[int]:
        '''simple docstring'''






        _lowercase     	=self.get_tokenizer()
        _lowercase     	=self.get_feature_extractor()

        _lowercase     	=WavaVecaProcessor(tokenizer=lowerCAmelCase							,       feature_extractor=lowerCAmelCase )

        processor.save_pretrained(self.tmpdirname )
        _lowercase     	=WavaVecaProcessor.from_pretrained(self.tmpdirname )

        self.assertEqual(processor.tokenizer.get_vocab()							,       tokenizer.get_vocab() )
        self.assertIsInstance(processor.tokenizer							,       lowerCAmelCase )

        self.assertEqual(processor.feature_extractor.to_json_string()							,       feature_extractor.to_json_string() )
        self.assertIsInstance(processor.feature_extractor							,       lowerCAmelCase )




  def   A__					(    self )  ->			str:
        '''simple docstring'''






        _lowercase     	=WavaVecaProcessor(tokenizer=self.get_tokenizer()							,       feature_extractor=self.get_feature_extractor() )
        processor.save_pretrained(self.tmpdirname )

        _lowercase     	=self.get_tokenizer(bos_token='(BOS)'							,       eos_token='(EOS)' )
        _lowercase     	=self.get_feature_extractor(do_normalize=lowerCAmelCase							,       padding_value=1.0 )

        _lowercase     	=WavaVecaProcessor.from_pretrained(
            self.tmpdirname							,       bos_token='(BOS)'							,       eos_token='(EOS)'							,       do_normalize=lowerCAmelCase							,       padding_value=1.0 )

        self.assertEqual(processor.tokenizer.get_vocab()							,       tokenizer_add_kwargs.get_vocab() )
        self.assertIsInstance(processor.tokenizer							,       lowerCAmelCase )

        self.assertEqual(processor.feature_extractor.to_json_string()							,       feature_extractor_add_kwargs.to_json_string() )
        self.assertIsInstance(processor.feature_extractor							,       lowerCAmelCase )




  def   A__					(    self )  ->			List[Any]:
        '''simple docstring'''






        _lowercase     	=self.get_feature_extractor()
        _lowercase     	=self.get_tokenizer()

        _lowercase     	=WavaVecaProcessor(tokenizer=lowerCAmelCase							,       feature_extractor=lowerCAmelCase )

        _lowercase     	=floats_list((3, 1_000) )

        _lowercase     	=feature_extractor(lowerCAmelCase							,       return_tensors='np' )
        _lowercase     	=processor(lowerCAmelCase							,       return_tensors='np' )

        for key in input_feat_extract.keys():
              self.assertAlmostEqual(input_feat_extract[key].sum()							,       input_processor[key].sum()							,       delta=1e-2 )




  def   A__					(    self )  ->			int:
        '''simple docstring'''






        _lowercase     	=self.get_feature_extractor()
        _lowercase     	=self.get_tokenizer()

        _lowercase     	=WavaVecaProcessor(tokenizer=lowerCAmelCase							,       feature_extractor=lowerCAmelCase )

        _lowercase     	='This is a test string'

        _lowercase     	=processor(text=lowerCAmelCase )

        _lowercase     	=tokenizer(lowerCAmelCase )

        for key in encoded_tok.keys():
              self.assertListEqual(encoded_tok[key]							,       encoded_processor[key] )




  def   A__					(    self )  ->			str:
        '''simple docstring'''






        _lowercase     	=self.get_feature_extractor()
        _lowercase     	=self.get_tokenizer()

        _lowercase     	=WavaVecaProcessor(tokenizer=lowerCAmelCase							,       feature_extractor=lowerCAmelCase )

        _lowercase     	=[[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

        _lowercase     	=processor.batch_decode(lowerCAmelCase )
        _lowercase     	=tokenizer.batch_decode(lowerCAmelCase )

        self.assertListEqual(lowerCAmelCase							,       lowerCAmelCase )




  def   A__					(    self )  ->			str:
        '''simple docstring'''






        _lowercase     	=self.get_feature_extractor()
        _lowercase     	=self.get_tokenizer()

        _lowercase     	=WavaVecaProcessor(tokenizer=lowerCAmelCase							,       feature_extractor=lowerCAmelCase )

        self.assertListEqual(
            processor.model_input_names							,       feature_extractor.model_input_names							,       msg='`processor` and `feature_extractor` model input names do not match'							,       )


