code: 
  
  
  
  
  
  
  from __future__ import annotations
  
  import os
  
  
  
  
  
  
  
  class 							UpperCAmelCase_     :
       __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  ,	_lowerCAmelCase		):
  
  
  
  
  
  
            if not isinstance(_lowerCAmelCase  ,	_lowerCAmelCase		):
                 UpperCAmelCase__			:     Tuple										= 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:
                 UpperCAmelCase__			:     List[str]										= f"Hand should contain only 5 cards: {hand!r}"
                 raise ValueError(_lowerCAmelCase		)
            UpperCAmelCase__			:     Optional[Any]										= hand
            UpperCAmelCase__			:     Optional[Any]										= 0
            UpperCAmelCase__			:     Tuple										= 0
            UpperCAmelCase__			:     str										= self._internal_state()
            UpperCAmelCase__			:     List[Any]										= self._get_hand_type()
            UpperCAmelCase__			:     List[str]										= self._card_values[0]
  
  
  
  
       @property
       def      __UpperCAmelCase     (							self		):
            return self._hand
  
  
  
  
       def      __UpperCAmelCase     (							self  ,	_lowerCAmelCase		):
  
  
  
  
  
  
            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      __UpperCAmelCase     (							self		):
            UpperCAmelCase__			:     List[Any]										= PokerHand._HAND_NAME[self._hand_type - 14]
            UpperCAmelCase__			:     List[str]										= PokerHand._CARD_NAME[self._high_card]
            UpperCAmelCase__			:     Optional[Any]										= PokerHand._CARD_NAME[self._first_pair]
            UpperCAmelCase__			:     Optional[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]:
                 UpperCAmelCase__			:     Optional[int]										= "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  ,	_lowerCAmelCase		):
  
  
  
  
  
  
            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		):
  
  
  
  
  
  
            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		):
            return len(self._card_suit		) == 1
  
  
  
  
       def      __UpperCAmelCase     (							self		):
  
  
  
  
  
  
            if sorted(self._card_values		) == [2, 3, 4, 5, 14]:
                 if self._card_values[0] == 14:
                      # Remember, our list is sorted in reverse order
                      UpperCAmelCase__			:     int										= self._card_values.pop(0		)
                      self._card_values.append(_lowerCAmelCase		)
                 return True
            return False
  
  
  
  
       def      __UpperCAmelCase     (							self		):
  
  
  
  
  
  
            for i in range(4		):
                 if self._card_values[i] - self._card_values[i + 1] != 1:
                      return False
            return True
  
  
  
  
       def      __UpperCAmelCase     (							self		):
            UpperCAmelCase__			:     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:
                           UpperCAmelCase__			:     Union[str, Any]										= self._card_values[i]
                           kind += 1
                      elif vala == self._card_values[i]:
                           kind += 2
                      elif not vala:
                           UpperCAmelCase__			:     Dict										= 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)
            UpperCAmelCase__			:     str										= kind + 2 if kind in [4, 5] else kind
            # first meaning first pair to compare in 'compare_with'
            UpperCAmelCase__			:     List[Any]										= max(_lowerCAmelCase  ,	_lowerCAmelCase		)
            UpperCAmelCase__			:     Dict										= 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:
                 UpperCAmelCase__			:     List[Any]										= second, first
            UpperCAmelCase__			:     Any										= first
            UpperCAmelCase__			:     Optional[int]										= second
            return kind
  
  
  
  
       def      __UpperCAmelCase     (							self		):
            UpperCAmelCase__			:     dict										= {"T": "10", "J": "11", "Q": "12", "K": "13", "A": "14"}
            UpperCAmelCase__			:     str										= self._hand.translate(str.maketrans(_lowerCAmelCase		)		).split()
            UpperCAmelCase__			:     Optional[int]										= [int(card[:-1]		) for card in new_hand]
            UpperCAmelCase__			:     str										= {card[-1] for card in new_hand}
            return sorted(_lowerCAmelCase  ,	reverse=_lowerCAmelCase		), card_suit
  
  
  
  
       def __repr__(							self		):
            return f"{self.__class__}(\"{self._hand}\")"
  
  
  
  
       def __str__(							self		):
            return self._hand
  
  
  
  
       def __eq__(							self  ,	_lowerCAmelCase		):
  
  
  
  
  
  
            if isinstance(_lowerCAmelCase  ,	_lowerCAmelCase		):
                 return self.compare_with(_lowerCAmelCase		) == "Tie"
            return NotImplemented
  
  
  
  
       def __lt__(							self  ,	_lowerCAmelCase		):
  
  
  
  
  
  
            if isinstance(_lowerCAmelCase  ,	_lowerCAmelCase		):
                 return self.compare_with(_lowerCAmelCase		) == "Loss"
            return NotImplemented
  
  
  
  
       def __le__(							self  ,	_lowerCAmelCase		):
  
  
  
  
  
  
            if isinstance(_lowerCAmelCase  ,	_lowerCAmelCase		):
                 return self < other or self == other
            return NotImplemented
  
  
  
  
       def __gt__(							self  ,	_lowerCAmelCase		):
  
  
  
  
  
  
            if isinstance(_lowerCAmelCase  ,	_lowerCAmelCase		):
                 return not self < other and self != other
            return NotImplemented
  
  
  
  
       def __ge__(							self  ,	_lowerCAmelCase		):
  
  
  
  
  
  
            if isinstance(_lowerCAmelCase  ,	_lowerCAmelCase		):
                 return not self < other
            return NotImplemented
  
  
  
  
       def __hash__(							self		):
            return object.__hash__(self		)
  
  
  
  
  
  def    _lowerCamelCase	(	)   -> int:
  
       '''simple docstring'''
       # Solution for problem number 54 from Project Euler
       # Input from poker_hands.txt file
       UpperCAmelCase__			:     List[str]										= 0
       UpperCAmelCase__			:     List[str]										= os.path.abspath(os.path.dirname(__lowerCAmelCase					)					)
       UpperCAmelCase__			:     Any										= os.path.join(__lowerCAmelCase   ,       """poker_hands.txt"""					)
       with open(__lowerCAmelCase					) as file_hand:
            for line in file_hand:
                 UpperCAmelCase__			:     Union[str, Any]										= line[:14].strip()
                 UpperCAmelCase__			:     Optional[Any]										= line[15:].strip()
                 UpperCAmelCase__			:     List[Any]										= PokerHand(__lowerCAmelCase					), PokerHand(__lowerCAmelCase					)
                 UpperCAmelCase__			:     Tuple										= player.compare_with(__lowerCAmelCase					)
                 if output == "Win":
                      answer += 1
       return answer
  
  
  if __name__ == "__main__":
        solution()
  
  
  
  
style_context: 
  
  
  
  
  
  
  import collections
  
  from .utils import ExplicitEnum, is_torch_available, logging
  
  
  if is_torch_available():
        import torch
  
  
  SCREAMING_SNAKE_CASE__		:       Any   							=							logging.get_logger(__name__)
  
  
  
  
  
  
  
  class 							UpperCAmelCase_     :
  
  
  
  
       def __init__(							self  ,	_lowerCAmelCase  ,	_lowerCAmelCase=21  ,	_lowerCAmelCase=[]  ,	_lowerCAmelCase=None		):
            UpperCAmelCase__			:     Union[str, Any]										= model
            UpperCAmelCase__			:     Union[str, Any]										= trace_batch_nums
            UpperCAmelCase__			:     Optional[Any]										= 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
            UpperCAmelCase__			:     int										= collections.deque([]  ,	_lowerCAmelCase		)
            UpperCAmelCase__			:     str										= []
            UpperCAmelCase__			:     Optional[int]										= 0
            UpperCAmelCase__			:     int										= 0
            UpperCAmelCase__			:     int										= False
            UpperCAmelCase__			:     List[str]										= """                 """
  
            self.analyse_model()
  
            self.register_forward_hook()
  
  
  
  
       def      __UpperCAmelCase     (							self  ,	_lowerCAmelCase=None		):
            if frame is not None:
                 self.expand_frame(_lowerCAmelCase		)
            self.frames.append("""\n""".join(self.frame		)		)
            UpperCAmelCase__			:     str										= []  # start a new frame
  
  
  
  
       def      __UpperCAmelCase     (							self  ,	_lowerCAmelCase		):
            self.frame.append(_lowerCAmelCase		)
  
  
  
  
       def      __UpperCAmelCase     (							self		):
            print("""\n""".join(self.frames		)		)
            UpperCAmelCase__			:     List[Any]										= []
  
  
  
  
       def      __UpperCAmelCase     (							self		):
            UpperCAmelCase__			:     Optional[int]										= []
  
  
  
  
       def      __UpperCAmelCase     (							self		):
            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"""		)
            UpperCAmelCase__			:     Any										= []
  
  
  
  
       def      __UpperCAmelCase     (							self		):
            # 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
            UpperCAmelCase__			:     str										= {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  ,	_lowerCAmelCase  ,	_lowerCAmelCase		):
            if torch.is_tensor(_lowerCAmelCase		):
                 self.expand_frame(get_abs_min_max(_lowerCAmelCase  ,	_lowerCAmelCase		)		)
                 if detect_overflow(_lowerCAmelCase  ,	_lowerCAmelCase		):
                      UpperCAmelCase__			:     Optional[int]										= 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		):
            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		):
            self.expand_frame(f"{self.prefix} *** Finished batch number={self.batch_number-1} ***\n\n"		)
  
  
  
  
       def      __UpperCAmelCase     (							self  ,	_lowerCAmelCase  ,	_lowerCAmelCase  ,	_lowerCAmelCase		):
            self.expand_frame(f"{self.prefix} {self.module_names[module]} {module.__class__.__name__}"		)
  
            # params
            for name, p in module.named_parameters(recurse=_lowerCAmelCase		):
                 self.analyse_variable(_lowerCAmelCase  ,	_lowerCAmelCase		)
  
            # inputs
            if isinstance(_lowerCAmelCase  ,	_lowerCAmelCase		):
                 for i, x in enumerate(_lowerCAmelCase		):
                      self.analyse_variable(_lowerCAmelCase  ,	f"input[{i}]"		)
            else:
                 self.analyse_variable(_lowerCAmelCase  ,	"""input"""		)
  
            # outputs
            if isinstance(_lowerCAmelCase  ,	_lowerCAmelCase		):
                 for i, x in enumerate(_lowerCAmelCase		):
                      # possibly a tuple of tuples
                      if isinstance(_lowerCAmelCase  ,	_lowerCAmelCase		):
                           for j, y in enumerate(_lowerCAmelCase		):
                                self.analyse_variable(_lowerCAmelCase  ,	f"output[{i}][{j}]"		)
                      else:
                           self.analyse_variable(_lowerCAmelCase  ,	f"output[{i}]"		)
            else:
                 self.analyse_variable(_lowerCAmelCase  ,	"""output"""		)
  
            self.save_frame()
  
  
  
  
       def      __UpperCAmelCase     (							self		):
            self.model.apply(self._register_forward_hook		)
  
  
  
  
       def      __UpperCAmelCase     (							self  ,	_lowerCAmelCase		):
            module.register_forward_hook(self.forward_hook		)
  
  
  
  
       def      __UpperCAmelCase     (							self  ,	_lowerCAmelCase  ,	_lowerCAmelCase  ,	_lowerCAmelCase		):
            # - input is a tuple of packed inputs (could be non-Tensors)
            # - output could be a Tensor or a tuple of Tensors and non-Tensors
  
            UpperCAmelCase__			:     Union[str, Any]										= False
  
            UpperCAmelCase__			:     List[str]										= 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
                 UpperCAmelCase__			:     Dict										= True
  
            self.create_frame(_lowerCAmelCase  ,	_lowerCAmelCase  ,	_lowerCAmelCase		)
  
            # 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    _lowerCamelCase	(	__lowerCamelCase   ,       __lowerCamelCase					)   -> Optional[Any]:
  
       '''simple docstring'''
       UpperCAmelCase__			:     Dict										= var.abs()
       return F"{abs_var.min():8.2e} {abs_var.max():8.2e} {ctx}"
  
  
  
  
  
  def    _lowerCamelCase	(	__lowerCamelCase   ,       __lowerCamelCase					)   -> int:
  
       '''simple docstring'''
       UpperCAmelCase__			:     str										= False
       if torch.isnan(__lowerCamelCase					).any().item():
            UpperCAmelCase__			:     List[Any]										= True
            print(F"{ctx} has nans"					)
       if torch.isinf(__lowerCamelCase					).any().item():
            UpperCAmelCase__			:     List[str]										= True
            print(F"{ctx} has infs"					)
  
       # if needed to monitor large elements can enable the following
       if 0:  # and detected:
            UpperCAmelCase__			:     Dict										= var[torch.ge(var.abs()   ,       100					)]
            if naaa.numel() > 0:
                 print(F"{ctx}:  n100={naaa.numel()}"					)
            UpperCAmelCase__			:     Tuple										= var[torch.ge(var.abs()   ,       1000					)]
            if naaaa.numel() > 0:
                 print(F"{ctx}: n1000={naaaa.numel()}"					)
            UpperCAmelCase__			:     Optional[int]										= var[torch.ge(var.abs()   ,       1_0000					)]
            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_     (		__lowerCamelCase		):
       __lowerCamelCase										=     'underflow_overflow'
       __lowerCamelCase										=     'tpu_metrics_debug'
  
  
  
  
  
  
  