from __future__ import annotations

import os




class 						__snake_case						:





      '''simple docstring'''






      _snake_case     		=							(
          'High card',
          'One pair',
          'Two pairs',
          'Three of a kind',
          'Straight',
          'Flush',
          'Full house',
          'Four of a kind',
          'Straight flush',
          'Royal flush',
      )

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



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


          """simple docstring"""


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



      @property
      def 						_SCREAMING_SNAKE_CASE     (       self  :					Any)					->Dict:


          """simple docstring"""


          return self._hand



      def 						_SCREAMING_SNAKE_CASE     (       self  :					Optional[int]     ,	_UpperCamelCase  :					PokerHand)					->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(a_)
              else:
                  return "Win" if self._second_pair > other._second_pair else "Loss"
          return "Win" if self._first_pair > other._first_pair else "Loss"



      def 						_SCREAMING_SNAKE_CASE     (       self  :					Optional[Any])					->Optional[Any]:


          """simple docstring"""


          _lowerCamelCase  :		List[str]			    =    PokerHand._HAND_NAME[self._hand_type - 14]
          _lowerCamelCase  :		Tuple			    =    PokerHand._CARD_NAME[self._high_card]
          _lowerCamelCase  :		int			    =    PokerHand._CARD_NAME[self._first_pair]
          _lowerCamelCase  :		List[Any]			    =    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]:
              _lowerCamelCase  :		List[str]			    =    '''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 						_SCREAMING_SNAKE_CASE     (       self  :					Tuple     ,	_UpperCamelCase  :					PokerHand)					->Union[str, Any]:


          """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 						_SCREAMING_SNAKE_CASE     (       self  :					List[Any])					->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 						_SCREAMING_SNAKE_CASE     (       self  :					str)					->int:


          """simple docstring"""


          return len(self._card_suit) == 1



      def 						_SCREAMING_SNAKE_CASE     (       self  :					Dict)					->int:


          """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
                  _lowerCamelCase  :		int			    =    self._card_values.pop(0)
                  self._card_values.append(a_)
              return True
          return False



      def 						_SCREAMING_SNAKE_CASE     (       self  :					Optional[Any])					->Any:


          """simple docstring"""


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



      def 						_SCREAMING_SNAKE_CASE     (       self  :					Tuple)					->Union[str, Any]:


          """simple docstring"""


          _lowerCamelCase  :		int			    =    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:
                      _lowerCamelCase  :		Union[str, Any]			    =    self._card_values[i]
                      kind += 1
                  elif vala == self._card_values[i]:
                      kind += 2
                  elif not vala:
                      _lowerCamelCase  :		Union[str, Any]			    =    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)
          _lowerCamelCase  :		Optional[Any]			    =    kind + 2 if kind in [4, 5] else kind
          # first meaning first pair to compare in 'compare_with'
          _lowerCamelCase  :		Tuple			    =    max(a_     ,	a_)
          _lowerCamelCase  :		List[Any]			    =    min(a_     ,	a_)
          # 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(a_) != 3:
              _lowerCamelCase  :		List[Any]			    =    second, first
          _lowerCamelCase  :		List[str]			    =    first
          _lowerCamelCase  :		List[str]			    =    second
          return kind



      def 						_SCREAMING_SNAKE_CASE     (       self  :					List[Any])					->List[str]:


          """simple docstring"""


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



      def __repr__(       self  :					Any)					->Any:


          """simple docstring"""


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



      def __str__(       self  :					int)					->Optional[int]:


          """simple docstring"""


          return self._hand



      def __eq__(       self  :					List[str]     ,	_UpperCamelCase  :					Any)					->Dict:


          """simple docstring"""


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



      def __lt__(       self  :					List[Any]     ,	_UpperCamelCase  :					int)					->List[str]:


          """simple docstring"""


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



      def __le__(       self  :					str     ,	_UpperCamelCase  :					int)					->Dict:


          """simple docstring"""


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



      def __gt__(       self  :					Any     ,	_UpperCamelCase  :					List[Any])					->str:


          """simple docstring"""


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



      def __ge__(       self  :					str     ,	_UpperCamelCase  :					Optional[int])					->Tuple:


          """simple docstring"""


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




      def __hash__(       self  :					int)					->Dict:


          """simple docstring"""


          return object.__hash__(self)







def     A__	(       ):







    '''simple docstring'''
    _lowerCamelCase  :		Dict			    =    0
    _lowerCamelCase  :		Tuple			    =    os.path.abspath(os.path.dirname(_UpperCAmelCase						)						)
    _lowerCamelCase  :		Union[str, Any]			    =    os.path.join(_UpperCAmelCase ,			"""poker_hands.txt"""						)
    with open(_UpperCAmelCase						) as file_hand:
        for line in file_hand:
            _lowerCamelCase  :		str			    =    line[:14].strip()
            _lowerCamelCase  :		List[Any]			    =    line[15:].strip()
            _lowerCamelCase  :		Tuple			    =    PokerHand(_UpperCAmelCase						), PokerHand(_UpperCAmelCase						)
            _lowerCamelCase  :		Dict			    =    player.compare_with(_UpperCAmelCase						)
            if output == "Win":
                answer += 1
    return answer


if __name__ == "__main__":
    solution()









import json
import os
import shutil
import tempfile
import unittest

from transformers import is_speech_available, is_torch_available
from transformers.models.speechta import SpeechTaTokenizer
from transformers.testing_utils import get_tests_dir, require_torch
from transformers.utils import FEATURE_EXTRACTOR_NAME


if is_speech_available() and is_torch_available():
				from transformers import SpeechTaFeatureExtractor, SpeechTaProcessor

				from .test_feature_extraction_speechta import floats_list


__A       =get_tests_dir("fixtures/test_sentencepiece_bpe_char.model")

@require_torch
class 						UpperCAmelCase__     (     unittest.TestCase  ):




			'''simple docstring'''






			def 					snake_case__	(  self				:					List[str]					):
					'''simple docstring'''





					__UpperCAmelCase       :	str						=      tempfile.mkdtemp()

					__UpperCAmelCase       :	Optional[int]						=      SpeechTaTokenizer(a_					)
					tokenizer.save_pretrained(self.tmpdirname					)

					__UpperCAmelCase       :	Union[str, Any]						=      {
					    '''feature_size''': 1,
					    '''padding_value''': 0.0,
					    '''sampling_rate''': 1_60_00,
					    '''do_normalize''': False,
					    '''num_mel_bins''': 80,
					    '''hop_length''': 16,
					    '''win_length''': 64,
					    '''win_function''': '''hann_window''',
					    '''fmin''': 80,
					    '''fmax''': 76_00,
					    '''mel_floor''': 1e-10,
					    '''reduction_factor''': 2,
					    '''return_attention_mask''': True,
					}

					__UpperCAmelCase       :	Tuple						=      os.path.join(self.tmpdirname			,			a_					)
					with open(self.feature_extraction_file			,			'''w'''			,			encoding='''utf-8'''					) as fp:
							fp.write(json.dumps(a_					) + '''\n'''					)




			def 					snake_case__	(  self				:					Any			,			**a_				:					Tuple					):
					'''simple docstring'''





					return SpeechTaTokenizer.from_pretrained(self.tmpdirname			,			**a_					)




			def 					snake_case__	(  self				:					Dict			,			**a_				:					str					):
					'''simple docstring'''





					return SpeechTaFeatureExtractor.from_pretrained(self.tmpdirname			,			**a_					)




			def 					snake_case__	(  self				:					List[str]					):
					'''simple docstring'''





					shutil.rmtree(self.tmpdirname					)




			def 					snake_case__	(  self				:					Dict					):
					'''simple docstring'''





					__UpperCAmelCase       :	int						=      self.get_tokenizer()
					__UpperCAmelCase       :	str						=      self.get_feature_extractor()

					__UpperCAmelCase       :	List[Any]						=      SpeechTaProcessor(tokenizer=a_			,			feature_extractor=a_					)

					processor.save_pretrained(self.tmpdirname					)
					__UpperCAmelCase       :	List[str]						=      SpeechTaProcessor.from_pretrained(self.tmpdirname					)

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

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




			def 					snake_case__	(  self				:					int					):
					'''simple docstring'''





					__UpperCAmelCase       :	Optional[int]						=      SpeechTaProcessor(tokenizer=self.get_tokenizer()			,			feature_extractor=self.get_feature_extractor()					)
					processor.save_pretrained(self.tmpdirname					)

					__UpperCAmelCase       :	Optional[Any]						=      self.get_tokenizer(bos_token='''(BOS)'''			,			eos_token='''(EOS)'''					)
					__UpperCAmelCase       :	List[Any]						=      self.get_feature_extractor(do_normalize=a_			,			padding_value=1.0					)

					__UpperCAmelCase       :	List[str]						=      SpeechTaProcessor.from_pretrained(
					    self.tmpdirname			,			bos_token='''(BOS)'''			,			eos_token='''(EOS)'''			,			do_normalize=a_			,			padding_value=1.0					)

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

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




			def 					snake_case__	(  self				:					Union[str, Any]					):
					'''simple docstring'''





					__UpperCAmelCase       :	Optional[Any]						=      self.get_feature_extractor()
					__UpperCAmelCase       :	Union[str, Any]						=      self.get_tokenizer()

					__UpperCAmelCase       :	List[Any]						=      SpeechTaProcessor(tokenizer=a_			,			feature_extractor=a_					)

					__UpperCAmelCase       :	List[Any]						=      floats_list((3, 10_00)					)

					__UpperCAmelCase       :	Tuple						=      feature_extractor(audio=a_			,			return_tensors='''np'''					)
					__UpperCAmelCase       :	List[str]						=      processor(audio=a_			,			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 					snake_case__	(  self				:					Optional[Any]					):
					'''simple docstring'''





					__UpperCAmelCase       :	List[Any]						=      self.get_feature_extractor()
					__UpperCAmelCase       :	Dict						=      self.get_tokenizer()

					__UpperCAmelCase       :	Optional[Any]						=      SpeechTaProcessor(tokenizer=a_			,			feature_extractor=a_					)

					__UpperCAmelCase       :	Union[str, Any]						=      floats_list((3, 10_00)					)

					__UpperCAmelCase       :	Dict						=      feature_extractor(audio_target=a_			,			return_tensors='''np'''					)
					__UpperCAmelCase       :	str						=      processor(audio_target=a_			,			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 					snake_case__	(  self				:					Union[str, Any]					):
					'''simple docstring'''





					__UpperCAmelCase       :	Union[str, Any]						=      self.get_feature_extractor()
					__UpperCAmelCase       :	Optional[int]						=      self.get_tokenizer()

					__UpperCAmelCase       :	Optional[Any]						=      SpeechTaProcessor(tokenizer=a_			,			feature_extractor=a_					)

					__UpperCAmelCase       :	List[str]						=      '''This is a test string'''

					__UpperCAmelCase       :	List[Any]						=      processor(text=a_					)
					__UpperCAmelCase       :	Optional[int]						=      tokenizer(a_					)

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




			def 					snake_case__	(  self				:					List[str]					):
					'''simple docstring'''





					__UpperCAmelCase       :	Optional[Any]						=      self.get_feature_extractor()
					__UpperCAmelCase       :	Optional[Any]						=      self.get_tokenizer()

					__UpperCAmelCase       :	List[Any]						=      SpeechTaProcessor(tokenizer=a_			,			feature_extractor=a_					)

					__UpperCAmelCase       :	List[str]						=      '''This is a test string'''

					__UpperCAmelCase       :	Optional[Any]						=      processor(text_target=a_					)
					__UpperCAmelCase       :	Optional[int]						=      tokenizer(a_					)

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




			def 					snake_case__	(  self				:					List[str]					):
					'''simple docstring'''





					__UpperCAmelCase       :	int						=      self.get_feature_extractor()
					__UpperCAmelCase       :	Union[str, Any]						=      self.get_tokenizer()

					__UpperCAmelCase       :	int						=      SpeechTaProcessor(tokenizer=a_			,			feature_extractor=a_					)

					__UpperCAmelCase       :	Optional[Any]						=      [[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

					__UpperCAmelCase       :	Optional[Any]						=      processor.batch_decode(a_					)
					__UpperCAmelCase       :	Any						=      tokenizer.batch_decode(a_					)

					self.assertListEqual(a_			,			a_					)




			def 					snake_case__	(  self				:					str					):
					'''simple docstring'''





					__UpperCAmelCase       :	str						=      self.get_feature_extractor()
					__UpperCAmelCase       :	str						=      self.get_tokenizer()

					__UpperCAmelCase       :	Optional[Any]						=      SpeechTaProcessor(tokenizer=a_			,			feature_extractor=a_					)

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





