code: 
  
  
  
  
  
  '''simple docstring'''
  
  from __future__ import annotations
  
  import os
  
  
  
  
  
  
  class      UpperCAmelCase			:
   __lowercase     	=       (
       """High card""",
       """One pair""",
       """Two pairs""",
       """Three of a kind""",
       """Straight""",
       """Flush""",
       """Full house""",
       """Four of a kind""",
       """Straight flush""",
       """Royal flush""",
   )
  
   __lowercase     	=       (
       """""",  # placeholder as tuples are zero-indexed
       """One""",
       """Two""",
       """Three""",
       """Four""",
       """Five""",
       """Six""",
       """Seven""",
       """Eight""",
       """Nine""",
       """Ten""",
       """Jack""",
       """Queen""",
       """King""",
       """Ace""",
   )
   def __init__(       self   :int		, lowercase_   :str							)->							None:
       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   UpperCAmelCase_							(       self   :str							)->							Tuple:
       return self._hand
   def   UpperCAmelCase_							(       self   :Tuple		, lowercase_   :PokerHand							)->							str:
       # 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   UpperCAmelCase_							(       self   :Any							)->							str:
       A__       =    PokerHand._HAND_NAME[self._hand_type - 14]
       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 [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]:
           A__       =    "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   UpperCAmelCase_							(       self   :Dict		, lowercase_   :PokerHand							)->							str:
       # 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   UpperCAmelCase_							(       self   :List[Any]							)->							int:
       # 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 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   UpperCAmelCase_							(       self   :str							)->							bool:
       return len(self._card_suit							) == 1
   def   UpperCAmelCase_							(       self   :Optional[int]							)->							bool:
       # 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, 14]:
           if self._card_values[0] == 14:
               # Remember, our list is sorted in reverse order
               A__       =    self._card_values.pop(0							)
               self._card_values.append(lowercase_							)
           return True
       return False
   def   UpperCAmelCase_							(       self   :Tuple							)->							bool:
       for i in range(4							):
           if self._card_values[i] - self._card_values[i + 1] != 1:
               return False
       return True
   def   UpperCAmelCase_							(       self   :int							)->							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   UpperCAmelCase_							(       self   :Any							)->							tuple[list[int], set[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   :Dict							)->							List[Any]:
       return F"{self.__class__}(\"{self._hand}\")"
   def __str__(       self   :Optional[int]							)->							int:
       return self._hand
   def __eq__(       self   :Any		, lowercase_   :Optional[int]							)->							Optional[Any]:
       if isinstance(lowercase_		, lowercase_							):
           return self.compare_with(lowercase_							) == "Tie"
       return NotImplemented
   def __lt__(       self   :Optional[int]		, lowercase_   :str							)->							List[Any]:
       if isinstance(lowercase_		, lowercase_							):
           return self.compare_with(lowercase_							) == "Loss"
       return NotImplemented
   def __le__(       self   :List[Any]		, lowercase_   :str							)->							Any:
       if isinstance(lowercase_		, lowercase_							):
           return self < other or self == other
       return NotImplemented
   def __gt__(       self   :Optional[Any]		, lowercase_   :Union[str, Any]							)->							List[Any]:
       if isinstance(lowercase_		, lowercase_							):
           return not self < other and self != other
       return NotImplemented
   def __ge__(       self   :Optional[int]		, lowercase_   :Union[str, Any]							)->							Any:
       if isinstance(lowercase_		, lowercase_							):
           return not self < other
       return NotImplemented
  
  
  
   def __hash__(       self   :Optional[int]							)->							int:
       return object.__hash__(self							)
  
  
  
  
  
  def 		UpperCamelCase       (							):
      # Solution for problem number 54 from Project Euler
      # Input from poker_hands.txt file
      A__       =    0
      A__       =    os.path.abspath(os.path.dirname(_lowerCamelCase ) )
      A__       =    os.path.join(_lowerCamelCase		, "poker_hands.txt" )
      with open(_lowerCamelCase ) as file_hand:
          for line in file_hand:
              A__       =    line[:14].strip()
              A__       =    line[15:].strip()
              A__,			A__       =    PokerHand(_lowerCamelCase ), PokerHand(_lowerCamelCase )
              A__       =    player.compare_with(_lowerCamelCase )
              if output == "Win":
                  answer += 1
      return answer
  
  
  if __name__ == "__main__":
   solution()
  
  
  
  
style_context: 
  
  
  
  
  
  '''simple docstring'''
  
  import collections
  
  from .utils import ExplicitEnum, is_torch_available, logging
  
  
  if is_torch_available():
    import torch
  
  
  __lowerCAmelCase							:			Optional[int]				=logging.get_logger(__name__)
  
  
  
  
  
  
  class      UpperCAmelCase			:
   def __init__(       self   :Optional[int]		, lowercase_   :Any		, lowercase_   :Any=21		, lowercase_   :Any=[]		, lowercase_   :Dict=None							)->							Tuple:
       A__       =    model
       A__       =    trace_batch_nums
       A__       =    abort_after_batch_num
  
       # keep a LIFO buffer of frames to dump as soon as inf/nan is encountered to give context to the problem emergence
       A__       =    collections.deque([]		, lowercase_							)
       A__       =    []
       A__       =    0
       A__       =    0
       A__       =    False
       A__       =    "                 "
  
       self.analyse_model()
  
       self.register_forward_hook()
   def   UpperCAmelCase_							(       self   :Any		, lowercase_   :Any=None							)->							Optional[Any]:
       if frame is not None:
           self.expand_frame(lowercase_							)
       self.frames.append("\n".join(self.frame							)							)
       A__       =    []  # start a new frame
   def   UpperCAmelCase_							(       self   :Union[str, Any]		, lowercase_   :Dict							)->							List[str]:
       self.frame.append(lowercase_							)
   def   UpperCAmelCase_							(       self   :int							)->							Dict:
       print("\n".join(self.frames							)							)
       A__       =    []
   def   UpperCAmelCase_							(       self   :str							)->							Union[str, Any]:
       A__       =    []
   def   UpperCAmelCase_							(       self   :List[str]							)->							Optional[Any]:
       print(F"\nDetected inf/nan during batch_number={self.batch_number}"							)
       print(F"Last {len(self.frames							)} forward frames:"							)
       print(F"{'abs min':8} {'abs max':8} metadata"							)
       print("\n".join(self.frames							)							)
       print("\n\n"							)
       A__       =    []
   def   UpperCAmelCase_							(       self   :Any							)->							Optional[Any]:
       # extract the fully qualified module names, to be able to report at run time. e.g.:
       # encoder.block.2.layer.0.SelfAttention.o
       #
       # for shared weights only the first shared module name will be registered
       A__       =    {m: name for name, m in self.model.named_modules()}
       # self.longest_module_name = max(len(v) for v in self.module_names.values())
   def   UpperCAmelCase_							(       self   :Tuple		, lowercase_   :Dict		, lowercase_   :Any							)->							str:
       if torch.is_tensor(lowercase_							):
           self.expand_frame(get_abs_min_max(lowercase_		, lowercase_							)							)
           if detect_overflow(lowercase_		, lowercase_							):
               A__       =    True
       elif var is None:
           self.expand_frame(F"{'None':>17} {ctx}"							)
       else:
           self.expand_frame(F"{'not a tensor':>17} {ctx}"							)
   def   UpperCAmelCase_							(       self   :Union[str, Any]							)->							str:
       self.expand_frame(F"\n\n{self.prefix} *** Starting batch number={self.batch_number} ***"							)
       self.expand_frame(F"{'abs min':8} {'abs max':8} metadata"							)
   def   UpperCAmelCase_							(       self   :int							)->							int:
       self.expand_frame(F"{self.prefix} *** Finished batch number={self.batch_number-1} ***\n\n"							)
   def   UpperCAmelCase_							(       self   :Optional[int]		, lowercase_   :Dict		, lowercase_   :Dict		, lowercase_   :str							)->							int:
       self.expand_frame(F"{self.prefix} {self.module_names[module]} {module.__class__.__name__}"							)
  
       # params
       for name, p in module.named_parameters(recurse=lowercase_							):
           self.analyse_variable(lowercase_		, lowercase_							)
  
       # inputs
       if isinstance(lowercase_		, lowercase_							):
           for i, x in enumerate(lowercase_							):
               self.analyse_variable(lowercase_		, F"input[{i}]"							)
       else:
           self.analyse_variable(lowercase_		, "input"							)
  
       # outputs
       if isinstance(lowercase_		, lowercase_							):
           for i, x in enumerate(lowercase_							):
               # possibly a tuple of tuples
               if isinstance(lowercase_		, lowercase_							):
                   for j, y in enumerate(lowercase_							):
                       self.analyse_variable(lowercase_		, F"output[{i}][{j}]"							)
               else:
                   self.analyse_variable(lowercase_		, F"output[{i}]"							)
       else:
           self.analyse_variable(lowercase_		, "output"							)
  
       self.save_frame()
   def   UpperCAmelCase_							(       self   :Any							)->							int:
       self.model.apply(self._register_forward_hook							)
   def   UpperCAmelCase_							(       self   :Tuple		, lowercase_   :Optional[int]							)->							Tuple:
       module.register_forward_hook(self.forward_hook							)
  
  
  
   def   UpperCAmelCase_							(       self   :List[str]		, lowercase_   :int		, lowercase_   :Optional[Any]		, lowercase_   :Dict							)->							Union[str, Any]:
       # - input is a tuple of packed inputs (could be non-Tensors)
       # - output could be a Tensor or a tuple of Tensors and non-Tensors
  
       A__       =    False
  
       A__       =    True if self.batch_number in self.trace_batch_nums else False
       if trace_mode:
           self.reset_saved_frames()
  
       if self.total_calls == 0:
           self.batch_start_frame()
       self.total_calls += 1
  
       # count batch numbers - the very first forward hook of the batch will be called when the
       # batch completes - i.e. it gets called very last - we know this batch has finished
       if module == self.model:
           self.batch_number += 1
           A__       =    True
  
       self.create_frame(lowercase_		, lowercase_		, lowercase_							)
  
       # if last_frame_of_batch:
       #     self.batch_end_frame()
  
       if trace_mode:
           self.trace_frames()
  
       if last_frame_of_batch:
           self.batch_start_frame()
  
       if self.detected_overflow and not trace_mode:
           self.dump_saved_frames()
  
           # now we can abort, as it's pointless to continue running
           raise ValueError(
               "DebugUnderflowOverflow: inf/nan detected, aborting as there is no point running further. "
               "Please scroll up above this traceback to see the activation values prior to this event."							)
  
       # abort after certain batch if requested to do so
       if self.abort_after_batch_num is not None and self.batch_number > self.abort_after_batch_num:
           raise ValueError(
               F"DebugUnderflowOverflow: aborting after {self.batch_number} batches due to"
               F" `abort_after_batch_num={self.abort_after_batch_num}` arg"							)
  
  
  
  
  
  def 		UpperCamelCase       (							_lowerCamelCase      :      Dict		, _lowerCamelCase      :      int ):
      A__       =    var.abs()
      return F"{abs_var.min():8.2e} {abs_var.max():8.2e} {ctx}"
  
  
  
  
  
  def 		UpperCamelCase       (							_lowerCamelCase      :      Tuple		, _lowerCamelCase      :      Optional[int] ):
      A__       =    False
      if torch.isnan(_lowerCamelCase ).any().item():
          A__       =    True
          print(F"{ctx} has nans" )
      if torch.isinf(_lowerCamelCase ).any().item():
          A__       =    True
          print(F"{ctx} has infs" )
  
      # if needed to monitor large elements can enable the following
      if 0:  # and detected:
          A__       =    var[torch.ge(var.abs()		, 1_00 )]
          if naaa.numel() > 0:
              print(F"{ctx}:  n100={naaa.numel()}" )
          A__       =    var[torch.ge(var.abs()		, 10_00 )]
          if naaaa.numel() > 0:
              print(F"{ctx}: n1000={naaaa.numel()}" )
          A__       =    var[torch.ge(var.abs()		, 1_00_00 )]
          if naaaaa.numel() > 0:
              print(F"{ctx}: n10000={naaaaa.numel()}" )
  
      if 0:
          print(F"min={var.min():9.2e} max={var.max():9.2e}" )
  
      if 0:
          print(F"min={var.min():9.2e} max={var.max():9.2e} var={var.var():9.2e} mean={var.mean():9.2e} ({ctx})" )
  
      return detected
  
  
  
  
  
  
  class      UpperCAmelCase			( UpperCamelCase__       ):
   __lowercase     	=       """underflow_overflow"""
   __lowercase     	=       """tpu_metrics_debug"""
  
  
  
  