


'''simple docstring'''


from __future__ import annotations

import os






class 						lowerCAmelCase__      :
			lowerCAmelCase			:						Union[str, Any]							 =  (
			    "High card",
			    "One pair",
			    "Two pairs",
			    "Three of a kind",
			    "Straight",
			    "Flush",
			    "Full house",
			    "Four of a kind",
			    "Straight flush",
			    "Royal flush",
			)

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




			def __init__(		self	:  Dict						,	lowerCamelCase__	:  str			) ->None:



					'''simple docstring'''







					if not isinstance(lowerCamelCase__						,	lowerCamelCase__			):
							_UpperCAmelCase		:							List[Any]             =   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		:							Optional[int]             =   F"""Hand should contain only 5 cards: {hand!r}"""
							raise ValueError(lowerCamelCase__			)
					_UpperCAmelCase		:							Optional[int]             =   hand
					_UpperCAmelCase		:							Optional[int]             =   0
					_UpperCAmelCase		:							Any             =   0
					_UpperCAmelCase       ,     _UpperCAmelCase		:							int             =   self._internal_state()
					_UpperCAmelCase		:							Tuple             =   self._get_hand_type()
					_UpperCAmelCase		:							Optional[Any]             =   self._card_values[0]




			@property
			def 				lowerCAmelCase__     (		self	:  List[str]			) ->Dict:



					'''simple docstring'''







					return self._hand




			def 				lowerCAmelCase__     (		self	:  str						,	lowerCamelCase__	:  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(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 				lowerCAmelCase__     (		self	:  List[Any]			) ->str:



					'''simple docstring'''







					_UpperCAmelCase		:							Tuple             =   PokerHand._HAND_NAME[self._hand_type - 14]
					_UpperCAmelCase		:							List[Any]             =   PokerHand._CARD_NAME[self._high_card]
					_UpperCAmelCase		:							Any             =   PokerHand._CARD_NAME[self._first_pair]
					_UpperCAmelCase		:							Union[str, 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		:							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 				lowerCAmelCase__     (		self	:  str						,	lowerCamelCase__	:  PokerHand			) ->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 				lowerCAmelCase__     (		self	:  Dict			) ->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 				lowerCAmelCase__     (		self	:  int			) ->bool:



					'''simple docstring'''







					return len(self._card_suit			) == 1




			def 				lowerCAmelCase__     (		self	:  str			) ->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
									_UpperCAmelCase		:							Optional[Any]             =   self._card_values.pop(0			)
									self._card_values.append(lowerCamelCase__			)
							return True
					return False




			def 				lowerCAmelCase__     (		self	:  Optional[Any]			) ->bool:



					'''simple docstring'''







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




			def 				lowerCAmelCase__     (		self	:  List[str]			) ->int:



					'''simple docstring'''







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




			def 				lowerCAmelCase__     (		self	:  str			) ->tuple[list[int], set[str]]:



					'''simple docstring'''







					_UpperCAmelCase		:							dict             =   {"T": "10", "J": "11", "Q": "12", "K": "13", "A": "14"}
					_UpperCAmelCase		:							Union[str, Any]             =   self._hand.translate(str.maketrans(lowerCamelCase__			)			).split()
					_UpperCAmelCase		:							List[str]             =   [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	:  int			) ->Optional[int]:



					'''simple docstring'''







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




			def __str__(		self	:  Dict			) ->List[str]:



					'''simple docstring'''







					return self._hand




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



					'''simple docstring'''







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




			def __lt__(		self	:  List[str]						,	lowerCamelCase__	:  Optional[int]			) ->Union[str, Any]:



					'''simple docstring'''







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




			def __le__(		self	:  Tuple						,	lowerCamelCase__	:  Any			) ->int:



					'''simple docstring'''







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




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



					'''simple docstring'''







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




			def __ge__(		self	:  Optional[Any]						,	lowerCamelCase__	:  Tuple			) ->Any:



					'''simple docstring'''







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






			def __hash__(		self	:  Tuple			) ->List[Any]:



					'''simple docstring'''







					return object.__hash__(self			)






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


if __name__ == "__main__":
						solution()







'''simple docstring'''


import os
import sys
from pathlib import Path

import pytest

from datasets import Dataset, IterableDataset
from datasets.distributed import split_dataset_by_node

from .utils import execute_subprocess_async, get_torch_dist_unique_port, require_torch






def 			__lowerCAmelCase			():
		_UpperCAmelCase		:							Optional[int]             =   Dataset.from_dict({"i": range(17 )} )
		_UpperCAmelCase		:							int             =   len(__lowerCAmelCase )
		_UpperCAmelCase		:							Dict             =   3
		_UpperCAmelCase		:							str             =   [
		    split_dataset_by_node(__lowerCAmelCase   ,			rank=__lowerCAmelCase   ,			world_size=__lowerCAmelCase ) for rank in range(__lowerCAmelCase )
		]
		assert sum(len(__lowerCAmelCase ) for ds in datasets_per_rank ) == full_size
		assert len({tuple(x.values() ) for ds in datasets_per_rank for x in ds} ) == full_size






def 			__lowerCAmelCase			():
		def gen():
				return ({"i": i} for i in range(17 ))

		_UpperCAmelCase		:							Any             =   3
		_UpperCAmelCase		:							Any             =   IterableDataset.from_generator(__lowerCAmelCase )
		_UpperCAmelCase		:							str             =   len(list(__lowerCAmelCase ) )
		_UpperCAmelCase		:							Tuple             =   [
		    split_dataset_by_node(__lowerCAmelCase   ,			rank=__lowerCAmelCase   ,			world_size=__lowerCAmelCase ) for rank in range(__lowerCAmelCase )
		]
		assert sum(len(list(__lowerCAmelCase ) ) for ds in datasets_per_rank ) == full_size
		assert len({tuple(x.values() ) for ds in datasets_per_rank for x in ds} ) == full_size






@pytest.mark.parametrize("shards_per_node"   ,			[1, 2, 3] )
def 			__lowerCAmelCase			(__lowerCAmelCase ):
		def gen(__lowerCAmelCase ):
				for shard in shards:
						yield from ({"i": i, "shard": shard} for i in range(17 ))

		_UpperCAmelCase		:							Tuple             =   3
		_UpperCAmelCase		:							Tuple             =   shards_per_node * world_size
		_UpperCAmelCase		:							Optional[int]             =   {"shards": [F"""shard_{shard_idx}.txt""" for shard_idx in range(__lowerCAmelCase )]}
		_UpperCAmelCase		:							int             =   IterableDataset.from_generator(__lowerCAmelCase   ,			gen_kwargs=__lowerCAmelCase )
		_UpperCAmelCase		:							Any             =   len(list(__lowerCAmelCase ) )
		assert full_ds.n_shards == world_size * shards_per_node
		_UpperCAmelCase		:							Optional[Any]             =   [
		    split_dataset_by_node(__lowerCAmelCase   ,			rank=__lowerCAmelCase   ,			world_size=__lowerCAmelCase ) for rank in range(__lowerCAmelCase )
		]
		assert [ds.n_shards for ds in datasets_per_rank] == [shards_per_node] * world_size
		assert sum(len(list(__lowerCAmelCase ) ) for ds in datasets_per_rank ) == full_size
		assert len({tuple(x.values() ) for ds in datasets_per_rank for x in ds} ) == full_size






def 			__lowerCAmelCase			():
		def gen():
				return ({"i": i} for i in range(17 ))

		_UpperCAmelCase		:							List[str]             =   2
		_UpperCAmelCase		:							int             =   IterableDataset.from_generator(__lowerCAmelCase )
		_UpperCAmelCase		:							Union[str, Any]             =   len(list(__lowerCAmelCase ) )

		_UpperCAmelCase		:							int             =   split_dataset_by_node(__lowerCAmelCase   ,			rank=0   ,			world_size=__lowerCAmelCase ).shuffle(seed=42 )
		assert len(list(__lowerCAmelCase ) ) == 1 + full_size // world_size
		with pytest.raises(__lowerCAmelCase ):
				split_dataset_by_node(__lowerCAmelCase   ,			rank=0   ,			world_size=__lowerCAmelCase ).shuffle()

		_UpperCAmelCase		:							Dict             =   split_dataset_by_node(full_ds.shuffle(seed=42 )   ,			rank=0   ,			world_size=__lowerCAmelCase )
		assert len(list(__lowerCAmelCase ) ) == 1 + full_size // world_size
		with pytest.raises(__lowerCAmelCase ):
				split_dataset_by_node(full_ds.shuffle()   ,			rank=0   ,			world_size=__lowerCAmelCase )






@pytest.mark.parametrize("streaming"   ,			[False, True] )
@require_torch
@pytest.mark.skipif(os.name == "nt"   ,			reason="execute_subprocess_async doesn't support windows" )
@pytest.mark.integration
def 			__lowerCAmelCase			(__lowerCAmelCase ):
		_UpperCAmelCase		:							Union[str, Any]             =   2
		_UpperCAmelCase		:							Dict             =   get_torch_dist_unique_port()
		_UpperCAmelCase		:							int             =   Path(__lowerCAmelCase ).resolve().parent / "distributed_scripts" / "launch_torch_distributed.py"
		_UpperCAmelCase		:							List[Any]             =   F"""
        -m torch.distributed.launch
        --nproc_per_node={nproc_per_node}
        --master_port={master_port}
        {test_script}
    """.split()
		_UpperCAmelCase		:							List[str]             =   F"""
        --streaming={streaming}
    """.split()
		_UpperCAmelCase		:							Tuple             =   [sys.executable] + distributed_args + args
		execute_subprocess_async(__lowerCAmelCase   ,			env=os.environ.copy() )






@pytest.mark.parametrize(
    "nproc_per_node, num_workers"   ,			[
        (2, 2),  # each node has 2 shards and each worker has 1 shards
        (3, 2),  # each node uses all the shards but skips examples, and each worker has 2 shards
    ]   ,			)
@require_torch
@pytest.mark.skipif(os.name == "nt"   ,			reason="execute_subprocess_async doesn't support windows" )
@pytest.mark.integration
def 			__lowerCAmelCase			(__lowerCAmelCase   ,			__lowerCAmelCase ):
		_UpperCAmelCase		:							Tuple             =   True
		_UpperCAmelCase		:							int             =   get_torch_dist_unique_port()
		_UpperCAmelCase		:							Optional[int]             =   Path(__lowerCAmelCase ).resolve().parent / "distributed_scripts" / "launch_torch_distributed.py"
		_UpperCAmelCase		:							List[str]             =   F"""
        -m torch.distributed.launch
        --nproc_per_node={nproc_per_node}
        --master_port={master_port}
        {test_script}
    """.split()
		_UpperCAmelCase		:							int             =   F"""
        --streaming={streaming}
        --num_workers={num_workers}
    """.split()
		_UpperCAmelCase		:							Optional[int]             =   [sys.executable] + distributed_args + args
		execute_subprocess_async(__lowerCAmelCase   ,			env=os.environ.copy() )



