

from __future__ import annotations

import os






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

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


 def __init__(    self		:			Optional[Any]      ,    lowerCAmelCase__		:			str     )     ->   None:
   if not isinstance(lowerCAmelCase__      ,    lowerCAmelCase__     ):
     UpperCAmelCase          =	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          =	f"Hand should contain only 5 cards: {hand!r}"
     raise ValueError(lowerCAmelCase__     )
   UpperCAmelCase          =	hand
   UpperCAmelCase          =	0
   UpperCAmelCase          =	0
   UpperCAmelCase   ,						UpperCAmelCase          =	self._internal_state()
   UpperCAmelCase          =	self._get_hand_type()
   UpperCAmelCase          =	self._card_values[0]


 @property
 def _UpperCamelCase						(    self		:			List[Any]     )     ->   Union[str, Any]:
   return self._hand


 def _UpperCamelCase						(    self		:			List[str]      ,    lowerCAmelCase__		:			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(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		:			List[Any]     )     ->   str:
   UpperCAmelCase          =	PokerHand._HAND_NAME[self._hand_type - 1_4]
   UpperCAmelCase          =	PokerHand._CARD_NAME[self._high_card]
   UpperCAmelCase          =	PokerHand._CARD_NAME[self._first_pair]
   UpperCAmelCase          =	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]:
     UpperCAmelCase          =	"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 _UpperCamelCase						(    self		:			Optional[Any]      ,    lowerCAmelCase__		:			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		:			Dict     )     ->   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 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 _UpperCamelCase						(    self		:			List[Any]     )     ->   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, 1_4]:
     if self._card_values[0] == 1_4:
       # Remember, our list is sorted in reverse order
       UpperCAmelCase          =	self._card_values.pop(0     )
       self._card_values.append(lowerCAmelCase__     )
     return True
   return False


 def _UpperCamelCase						(    self		:			Union[str, Any]     )     ->   bool:
   for i in range(4     ):
     if self._card_values[i] - self._card_values[i + 1] != 1:
       return False
   return True


 def _UpperCamelCase						(    self		:			str     )     ->   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
   UpperCAmelCase          =	UpperCAmelCase          =	UpperCAmelCase          =	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          =	self._card_values[i]
         kind += 1
       elif vala == self._card_values[i]:
         kind += 2
       elif not vala:
         UpperCAmelCase          =	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          =	kind + 2 if kind in [4, 5] else kind
   # first meaning first pair to compare in 'compare_with'
   UpperCAmelCase          =	max(lowerCAmelCase__      ,    lowerCAmelCase__     )
   UpperCAmelCase          =	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   ,						UpperCAmelCase          =	second, first
   UpperCAmelCase          =	first
   UpperCAmelCase          =	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
   UpperCAmelCase          =	{"T": "10", "J": "11", "Q": "12", "K": "13", "A": "14"}
   UpperCAmelCase          =	self._hand.translate(str.maketrans(lowerCAmelCase__     )     ).split()
   UpperCAmelCase          =	[int(card[:-1]     ) for card in new_hand]
   UpperCAmelCase          =	{card[-1] for card in new_hand}
   return sorted(lowerCAmelCase__      ,    reverse=lowerCAmelCase__     ), card_suit


 def __repr__(    self		:			str     )     ->   Tuple:
   return f"{self.__class__}(\"{self._hand}\")"


 def __str__(    self		:			int     )     ->   int:
   return self._hand


 def __eq__(    self		:			Any      ,    lowerCAmelCase__		:			Dict     )     ->   Optional[Any]:
   if isinstance(lowerCAmelCase__      ,    lowerCAmelCase__     ):
     return self.compare_with(lowerCAmelCase__     ) == "Tie"
   return NotImplemented


 def __lt__(    self		:			int      ,    lowerCAmelCase__		:			Optional[int]     )     ->   List[Any]:
   if isinstance(lowerCAmelCase__      ,    lowerCAmelCase__     ):
     return self.compare_with(lowerCAmelCase__     ) == "Loss"
   return NotImplemented


 def __le__(    self		:			List[Any]      ,    lowerCAmelCase__		:			Dict     )     ->   Optional[Any]:
   if isinstance(lowerCAmelCase__      ,    lowerCAmelCase__     ):
     return self < other or self == other
   return NotImplemented


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


 def __ge__(    self		:			Optional[Any]      ,    lowerCAmelCase__		:			Any     )     ->   str:
   if isinstance(lowerCAmelCase__      ,    lowerCAmelCase__     ):
     return not self < other
   return NotImplemented


 def __hash__(    self		:			List[Any]     )     ->   str:
   return object.__hash__(self     )

def   _lowerCAmelCase(						):
  # Solution for problem number 54 from Project Euler
  # Input from poker_hands.txt file
  UpperCAmelCase          =	0
  UpperCAmelCase          =	os.path.abspath(os.path.dirname(__A      )      )
  UpperCAmelCase          =	os.path.join(__A ,							"poker_hands.txt"      )
  with open(__A      ) as file_hand:
    for line in file_hand:
      UpperCAmelCase          =	line[:14].strip()
      UpperCAmelCase          =	line[15:].strip()
      UpperCAmelCase   ,						UpperCAmelCase          =	PokerHand(__A      ), PokerHand(__A      )
      UpperCAmelCase          =	player.compare_with(__A      )
      if output == "Win":
        answer += 1
  return answer


if __name__ == "__main__":
      solution()






import matplotlib.pyplot as plt
import numpy as np
def   _lowerCAmelCase(						__A ,							__A ,							__A      ):
  UpperCAmelCase          =	len(__A      )  # Number of training samples
  UpperCAmelCase          =	np.eye(__A      )  # Initialize weights as identity matrix
  for j in range(__A      ):
    UpperCAmelCase          =	point - x_train[j]
    UpperCAmelCase          =	np.exp(diff @ diff.T / (-2.0 * tau**2)      )

  return weights
def   _lowerCAmelCase(						__A ,							__A ,							__A ,							__A      ):
  UpperCAmelCase          =	weight_matrix(__A ,							__A ,							__A      )
  UpperCAmelCase          =	np.linalg.inv(x_train.T @ weight_mat @ x_train      ) @ (
      x_train.T @ weight_mat @ y_train.T
  )

  return weight
def   _lowerCAmelCase(						__A ,							__A ,							__A      ):
  UpperCAmelCase          =	np.zeros(len(__A      )      )  # Initialize array of predictions
  for i, item in enumerate(__A      ):
    UpperCAmelCase          =	item @ local_weight(__A ,							__A ,							__A ,							__A      )

  return y_pred
def   _lowerCAmelCase(						__A ,							__A ,							__A      ):
  import seaborn as sns

  UpperCAmelCase          =	sns.load_dataset(__A      )
  UpperCAmelCase          =	np.array(data[x_name]      )
  UpperCAmelCase          =	np.array(data[y_name]      )

  UpperCAmelCase          =	np.ones(len(__A      )      )

  # pairing elements of one and x_data
  UpperCAmelCase          =	np.column_stack((one, x_data)      )

  return x_train, x_data, y_data
def   _lowerCAmelCase(						__A ,							__A ,							__A ,							__A ,							__A ,							__A ,							):
  UpperCAmelCase          =	np.sort(__A ,							axis=0      )
  plt.scatter(__A ,							__A ,							color="blue"      )
  plt.plot(
      x_train_sorted[:, 1] ,							preds[x_train[:, 1].argsort(0      )] ,							color="yellow" ,							linewidth=5 ,							)
  plt.title("Local Weighted Regression"      )
  plt.xlabel(__A      )
  plt.ylabel(__A      )
  plt.show()


if __name__ == "__main__":
      import doctest

      doctest.testmod()

      # Demo with a dataset from the seaborn module
      lowerCAmelCase__,			lowerCAmelCase__,			lowerCAmelCase__							=			load_data("tips", "total_bill", "tip")
      lowerCAmelCase__							=			local_weight_regression(training_data_x, tip, 5)
      plot_preds(training_data_x, predictions, total_bill, tip, "total_bill", "tip")



