





"""simple docstring"""




import os
from itertools import chain
from random import randrange, shuffle

import pytest

from .sola import PokerHand

lowercase				:	Union[str, Any]      						=  (
    "4S 3H 2C 7S 5H",
    "9D 8H 2C 6S 7H",
    "2D 6D 9D TH 7D",
    "TC 8C 2S JH 6C",
    "JH 8S TH AH QH",
    "TS KS 5S 9S AC",
    "KD 6S 9D TH AD",
    "KS 8D 4D 9S 4S",  # pair
    "8C 4S KH JS 4D",  # pair
    "QH 8H KD JH 8S",  # pair
    "KC 4H KS 2H 8D",  # pair
    "KD 4S KC 3H 8S",  # pair
    "AH 8S AS KC JH",  # pair
    "3H 4C 4H 3S 2H",  # 2 pairs
    "5S 5D 2C KH KH",  # 2 pairs
    "3C KH 5D 5S KH",  # 2 pairs
    "AS 3C KH AD KH",  # 2 pairs
    "7C 7S 3S 7H 5S",  # 3 of a kind
    "7C 7S KH 2H 7H",  # 3 of a kind
    "AC KH QH AH AS",  # 3 of a kind
    "2H 4D 3C AS 5S",  # straight (low ace)
    "3C 5C 4C 2C 6H",  # straight
    "6S 8S 7S 5H 9H",  # straight
    "JS QS 9H TS KH",  # straight
    "QC KH TS JS AH",  # straight (high ace)
    "8C 9C 5C 3C TC",  # flush
    "3S 8S 9S 5S KS",  # flush
    "4C 5C 9C 8C KC",  # flush
    "JH 8H AH KH QH",  # flush
    "3D 2H 3H 2C 2D",  # full house
    "2H 2C 3S 3H 3D",  # full house
    "KH KC 3S 3H 3D",  # full house
    "JC 6H JS JD JH",  # 4 of a kind
    "JC 7H JS JD JH",  # 4 of a kind
    "JC KH JS JD JH",  # 4 of a kind
    "2S AS 4S 5S 3S",  # straight flush (low ace)
    "2D 6D 3D 4D 5D",  # straight flush
    "5C 6C 3C 7C 4C",  # straight flush
    "JH 9H TH KH QH",  # straight flush
    "JH AH TH KH QH",  # royal flush (high ace straight flush)
)

lowercase				:	List[str]      						=  (
    ("2H 3H 4H 5H 6H", "KS AS TS QS JS", "Loss"),
    ("2H 3H 4H 5H 6H", "AS AD AC AH JD", "Win"),
    ("AS AH 2H AD AC", "JS JD JC JH 3D", "Win"),
    ("2S AH 2H AS AC", "JS JD JC JH AD", "Loss"),
    ("2S AH 2H AS AC", "2H 3H 5H 6H 7H", "Win"),
    ("AS 3S 4S 8S 2S", "2H 3H 5H 6H 7H", "Win"),
    ("2H 3H 5H 6H 7H", "2S 3H 4H 5S 6C", "Win"),
    ("2S 3H 4H 5S 6C", "3D 4C 5H 6H 2S", "Tie"),
    ("2S 3H 4H 5S 6C", "AH AC 5H 6H AS", "Win"),
    ("2S 2H 4H 5S 4C", "AH AC 5H 6H AS", "Loss"),
    ("2S 2H 4H 5S 4C", "AH AC 5H 6H 7S", "Win"),
    ("6S AD 7H 4S AS", "AH AC 5H 6H 7S", "Loss"),
    ("2S AH 4H 5S KC", "AH AC 5H 6H 7S", "Loss"),
    ("2S 3H 6H 7S 9C", "7H 3C TH 6H 9S", "Loss"),
    ("4S 5H 6H TS AC", "3S 5H 6H TS AC", "Win"),
    ("2S AH 4H 5S 6C", "AD 4C 5H 6H 2C", "Tie"),
    ("AS AH 3H AD AC", "AS AH 2H AD AC", "Win"),
    ("AH AC 5H 5C QS", "AH AC 5H 5C KS", "Loss"),
    ("AH AC 5H 5C QS", "KH KC 5H 5C QS", "Win"),
    ("7C 7S KH 2H 7H", "3C 3S AH 2H 3H", "Win"),
    ("3C 3S AH 2H 3H", "7C 7S KH 2H 7H", "Loss"),
    ("6H 5H 4H 3H 2H", "5H 4H 3H 2H AH", "Win"),
    ("5H 4H 3H 2H AH", "5H 4H 3H 2H AH", "Tie"),
    ("5H 4H 3H 2H AH", "6H 5H 4H 3H 2H", "Loss"),
    ("AH AD KS KC AC", "AH KD KH AC KC", "Win"),
    ("2H 4D 3C AS 5S", "2H 4D 3C 6S 5S", "Loss"),
    ("2H 3S 3C 3H 2S", "3S 3C 2S 2H 2D", "Win"),
    ("4D 6D 5D 2D JH", "3S 8S 3H TC KH", "Loss"),
    ("4S 6C 8S 3S 7S", "AD KS 2D 7D 7C", "Loss"),
    ("6S 4C 7H 8C 3H", "5H JC AH 9D 9C", "Loss"),
    ("9D 9H JH TC QH", "3C 2S JS 5C 7H", "Win"),
    ("2H TC 8S AD 9S", "4H TS 7H 2C 5C", "Win"),
    ("9D 3S 2C 7S 7C", "JC TD 3C TC 9H", "Loss"),
)

lowercase				:	Optional[Any]      						=  (
    ("2H 3H 4H 5H 6H", True),
    ("AS AH 2H AD AC", False),
    ("2H 3H 5H 6H 7H", True),
    ("KS AS TS QS JS", True),
    ("8H 9H QS JS TH", False),
    ("AS 3S 4S 8S 2S", True),
)

lowercase				:	Optional[Any]      						=  (
    ("2H 3H 4H 5H 6H", True),
    ("AS AH 2H AD AC", False),
    ("2H 3H 5H 6H 7H", False),
    ("KS AS TS QS JS", True),
    ("8H 9H QS JS TH", True),
)

lowercase				:	str      						=  (
    ("2H 4D 3C AS 5S", True, [5, 4, 3, 2, 1_4]),
    ("2H 5D 3C AS 5S", False, [1_4, 5, 5, 3, 2]),
    ("JH QD KC AS TS", False, [1_4, 1_3, 1_2, 1_1, 1_0]),
    ("9D 3S 2C 7S 7C", False, [9, 7, 7, 3, 2]),
)

lowercase				:	int      						=  (
    ("JH AH TH KH QH", 0),
    ("JH 9H TH KH QH", 0),
    ("JC KH JS JD JH", 7),
    ("KH KC 3S 3H 3D", 6),
    ("8C 9C 5C 3C TC", 0),
    ("JS QS 9H TS KH", 0),
    ("7C 7S KH 2H 7H", 3),
    ("3C KH 5D 5S KH", 2),
    ("QH 8H KD JH 8S", 1),
    ("2D 6D 9D TH 7D", 0),
)

lowercase				:	Optional[int]      						=  (
    ("JH AH TH KH QH", 2_3),
    ("JH 9H TH KH QH", 2_2),
    ("JC KH JS JD JH", 2_1),
    ("KH KC 3S 3H 3D", 2_0),
    ("8C 9C 5C 3C TC", 1_9),
    ("JS QS 9H TS KH", 1_8),
    ("7C 7S KH 2H 7H", 1_7),
    ("3C KH 5D 5S KH", 1_6),
    ("QH 8H KD JH 8S", 1_5),
    ("2D 6D 9D TH 7D", 1_4),
)



def A_     (		)  ->		str:
       a__			,							a__						:     Optional[int]			=    randrange(len(lowerCAmelCase__    )    ), randrange(len(lowerCAmelCase__    )    )
       a__						:     str			=    ['Loss', 'Tie', 'Win'][(play >= oppo) + (play > oppo)]
       a__			,							a__						:     Dict			=    SORTED_HANDS[play], SORTED_HANDS[oppo]
       return hand, other, expected



def A_     (		A__ = 100    )  ->		Optional[Any]:
       return (generate_random_hand() for _ in range(lowerCAmelCase__    ))



@pytest.mark.parametrize('hand, expected'		,				lowerCAmelCase__    )
def A_     (		A__		,				A__    )  ->		Optional[int]:
       assert PokerHand(lowerCAmelCase__    )._is_flush() == expected



@pytest.mark.parametrize('hand, expected'		,				lowerCAmelCase__    )
def A_     (		A__		,				A__    )  ->		Optional[Any]:
       assert PokerHand(lowerCAmelCase__    )._is_straight() == expected



@pytest.mark.parametrize('hand, expected, card_values'		,				lowerCAmelCase__    )
def A_     (		A__		,				A__		,				A__    )  ->		Optional[Any]:
       a__						:     Optional[int]			=    PokerHand(lowerCAmelCase__    )
       assert player._is_five_high_straight() == expected
       assert player._card_values == card_values



@pytest.mark.parametrize('hand, expected'		,				lowerCAmelCase__    )
def A_     (		A__		,				A__    )  ->		Tuple:
       assert PokerHand(lowerCAmelCase__    )._is_same_kind() == expected



@pytest.mark.parametrize('hand, expected'		,				lowerCAmelCase__    )
def A_     (		A__		,				A__    )  ->		Dict:
       assert PokerHand(lowerCAmelCase__    )._hand_type == expected



@pytest.mark.parametrize('hand, other, expected'		,				lowerCAmelCase__    )
def A_     (		A__		,				A__		,				A__    )  ->		str:
       assert PokerHand(lowerCAmelCase__    ).compare_with(PokerHand(lowerCAmelCase__    )    ) == expected



@pytest.mark.parametrize('hand, other, expected'		,				generate_random_hands()    )
def A_     (		A__		,				A__		,				A__    )  ->		Any:
       assert PokerHand(lowerCAmelCase__    ).compare_with(PokerHand(lowerCAmelCase__    )    ) == expected



def A_     (		)  ->		List[Any]:
       a__						:     str			=    [PokerHand(lowerCAmelCase__    ) for hand in SORTED_HANDS]
       a__						:     List[Any]			=    poker_hands.copy()
       shuffle(lowerCAmelCase__    )
       a__						:     Union[str, Any]			=    chain(sorted(lowerCAmelCase__    )    )
       for index, hand in enumerate(lowerCAmelCase__    ):
              assert hand == poker_hands[index]



def A_     (		)  ->		Optional[Any]:
       a__						:     List[Any]			=    [PokerHand('2D AC 3H 4H 5S'    ), PokerHand('2S 3H 4H 5S 6C'    )]
       pokerhands.sort(reverse=lowerCAmelCase__    )
       assert pokerhands[0].__str__() == "2S 3H 4H 5S 6C"



def A_     (		)  ->		List[Any]:
       a__						:     Any			=    PokerHand('2C 4S AS 3D 5C'    )
       a__						:     List[Any]			=    True
       a__						:     Any			=    [5, 4, 3, 2, 14]
       for _ in range(10    ):
              assert pokerhand._is_five_high_straight() == expected
              assert pokerhand._card_values == expected_card_values



def A_     (		)  ->		List[str]:
       a__						:     Union[str, Any]			=    0
       a__						:     Optional[Any]			=    os.path.abspath(os.path.dirname(lowerCAmelCase__    )    )
       a__						:     str			=    os.path.join(lowerCAmelCase__		,				'poker_hands.txt'    )
       with open(lowerCAmelCase__    ) as file_hand:
              for line in file_hand:
                     a__						:     List[Any]			=    line[:14].strip()
                     a__						:     str			=    line[15:].strip()
                     a__			,							a__						:     List[Any]			=    PokerHand(lowerCAmelCase__    ), PokerHand(lowerCAmelCase__    )
                     a__						:     Tuple			=    player.compare_with(lowerCAmelCase__    )
                     if output == "Win":
                            answer += 1
       assert answer == 376









import os
import socket
from contextlib import contextmanager

import torch

from ..commands.config.default import write_basic_config  # noqa: F401
from ..state import PartialState
from .dataclasses import DistributedType
from .imports import is_deepspeed_available, is_tpu_available
from .transformer_engine import convert_model
from .versions import is_torch_version


if is_deepspeed_available():
    from deepspeed import DeepSpeedEngine

if is_tpu_available(check_device=False):
    import torch_xla.core.xla_model as xm



def A_     (		A__    )  ->		Optional[int]:
       if is_torch_version('<'		,				'2.0.0'    ) or not hasattr(A__		,				'_dynamo'    ):
              return False
       return isinstance(A__		,				torch._dynamo.eval_frame.OptimizedModule    )



def A_     (		A__		,				A__ = True    )  ->		int:
       a__						:     Optional[Any]			=    (torch.nn.parallel.DistributedDataParallel, torch.nn.DataParallel)

       a__						:     Union[str, Any]			=    is_compiled_module(A__    )
       if is_compiled:
              a__						:     List[str]			=    model
              a__						:     Dict			=    model._orig_mod

       if is_deepspeed_available():
              options += (DeepSpeedEngine,)

       while isinstance(A__		,				A__    ):
              a__						:     str			=    model.module

       if not keep_fpaa_wrapper:
              a__						:     Union[str, Any]			=    getattr(A__		,				'forward'    )
              a__						:     List[Any]			=    model.__dict__.pop('_original_forward'		,				A__    )
              if original_forward is not None:
                     while hasattr(A__		,				'__wrapped__'    ):
                            a__						:     int			=    forward.__wrapped__
                            if forward == original_forward:
                                   break
                     a__						:     List[Any]			=    forward
              if getattr(A__		,				'_converted_to_transformer_engine'		,				A__    ):
                     convert_model(A__		,				to_transformer_engine=A__    )

       if is_compiled:
              a__						:     List[str]			=    model
              a__						:     Any			=    compiled_model

       return model



def A_     (		)  ->		int:
       PartialState().wait_for_everyone()



def A_     (		A__		,				A__    )  ->		Dict:
       if PartialState().distributed_type == DistributedType.TPU:
              xm.save(A__		,				A__    )
       elif PartialState().local_process_index == 0:
              torch.save(A__		,				A__    )



@contextmanager
def A_     (		**A__    )  ->		Any:
       for key, value in kwargs.items():
              a__						:     Optional[int]			=    str(A__    )

       yield

       for key in kwargs:
              if key.upper() in os.environ:
                     del os.environ[key.upper()]



def A_     (		A__    )  ->		List[str]:
       if not hasattr(A__		,				'__qualname__'    ) and not hasattr(A__		,				'__name__'    ):
              a__						:     Dict			=    getattr(A__		,				'__class__'		,				A__    )
       if hasattr(A__		,				'__qualname__'    ):
              return obj.__qualname__
       if hasattr(A__		,				'__name__'    ):
              return obj.__name__
       return str(A__    )



def A_     (		A__		,				A__    )  ->		Dict:
       for key, value in source.items():
              if isinstance(A__		,				A__    ):
                     a__						:     Optional[Any]			=    destination.setdefault(A__		,				{}    )
                     merge_dicts(A__		,				A__    )
              else:
                     a__						:     Optional[int]			=    value

       return destination



def A_     (		A__ = None    )  ->		bool:
       if port is None:
              a__						:     List[Any]			=    2_9500
       with socket.socket(socket.AF_INET		,				socket.SOCK_STREAM    ) as s:
              return s.connect_ex(('localhost', port)    ) == 0


