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

import pytest

from .sola import PokerHand

SCREAMING_SNAKE_CASE			:						Dict				  =		(
    """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)
)

SCREAMING_SNAKE_CASE			:						Any				  =		(
    ("""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"""),
)

SCREAMING_SNAKE_CASE			:						Tuple				  =		(
    ("""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),
)

SCREAMING_SNAKE_CASE			:						str				  =		(
    ("""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),
)

SCREAMING_SNAKE_CASE			:						Tuple				  =		(
    ("""2H 4D 3C AS 5S""", True, [5, 4, 3, 2, 14]),
    ("""2H 5D 3C AS 5S""", False, [14, 5, 5, 3, 2]),
    ("""JH QD KC AS TS""", False, [14, 13, 12, 11, 10]),
    ("""9D 3S 2C 7S 7C""", False, [9, 7, 7, 3, 2]),
)

SCREAMING_SNAKE_CASE			:						Union[str, Any]				  =		(
    ("""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),
)

SCREAMING_SNAKE_CASE			:						str				  =		(
    ("""JH AH TH KH QH""", 23),
    ("""JH 9H TH KH QH""", 22),
    ("""JC KH JS JD JH""", 21),
    ("""KH KC 3S 3H 3D""", 20),
    ("""8C 9C 5C 3C TC""", 19),
    ("""JS QS 9H TS KH""", 18),
    ("""7C 7S KH 2H 7H""", 17),
    ("""3C KH 5D 5S KH""", 16),
    ("""QH 8H KD JH 8S""", 15),
    ("""2D 6D 9D TH 7D""", 14),
)



def 	__A		(      ):



 """simple docstring"""


 __a							,  __a							=	randrange(len(_A       )       ), randrange(len(_A       )       )
 __a							=	["Loss", "Tie", "Win"][(play >= oppo) + (play > oppo)]
 __a							,  __a							=	SORTED_HANDS[play], SORTED_HANDS[oppo]
 return hand, other, expected



def 	__A		(      _A = 100       ):



 """simple docstring"""


 return (generate_random_hand() for _ in range(_A       ))



@pytest.mark.parametrize("hand, expected"				,					_A       )
def 	__A		(      _A				,					_A       ):



 """simple docstring"""


 assert PokerHand(_A       )._is_flush() == expected



@pytest.mark.parametrize("hand, expected"				,					_A       )
def 	__A		(      _A				,					_A       ):



 """simple docstring"""


 assert PokerHand(_A       )._is_straight() == expected



@pytest.mark.parametrize("hand, expected, card_values"				,					_A       )
def 	__A		(      _A				,					_A				,					_A       ):



 """simple docstring"""


 __a							=	PokerHand(_A       )
 assert player._is_five_high_straight() == expected
 assert player._card_values == card_values



@pytest.mark.parametrize("hand, expected"				,					_A       )
def 	__A		(      _A				,					_A       ):



 """simple docstring"""


 assert PokerHand(_A       )._is_same_kind() == expected



@pytest.mark.parametrize("hand, expected"				,					_A       )
def 	__A		(      _A				,					_A       ):



 """simple docstring"""


 assert PokerHand(_A       )._hand_type == expected



@pytest.mark.parametrize("hand, other, expected"				,					_A       )
def 	__A		(      _A				,					_A				,					_A       ):



 """simple docstring"""


 assert PokerHand(_A       ).compare_with(PokerHand(_A       )       ) == expected



@pytest.mark.parametrize("hand, other, expected"				,					generate_random_hands()       )
def 	__A		(      _A				,					_A				,					_A       ):



 """simple docstring"""


 assert PokerHand(_A       ).compare_with(PokerHand(_A       )       ) == expected



def 	__A		(      ):



 """simple docstring"""


 __a							=	[PokerHand(_A       ) for hand in SORTED_HANDS]
 __a							=	poker_hands.copy()
 shuffle(_A       )
 __a							=	chain(sorted(_A       )       )
 for index, hand in enumerate(_A       ):
  assert hand == poker_hands[index]



def 	__A		(      ):



 """simple docstring"""


 __a							=	[PokerHand("2D AC 3H 4H 5S"       ), PokerHand("2S 3H 4H 5S 6C"       )]
 pokerhands.sort(reverse=_A       )
 assert pokerhands[0].__str__() == "2S 3H 4H 5S 6C"



def 	__A		(      ):



 """simple docstring"""


 __a							=	PokerHand("2C 4S AS 3D 5C"       )
 __a							=	True
 __a							=	[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		(      ):



 """simple docstring"""


 __a							=	0
 __a							=	os.path.abspath(os.path.dirname(_A       )       )
 __a							=	os.path.join(_A				,					"poker_hands.txt"       )
 with open(_A       ) as file_hand:
  for line in file_hand:
   __a							=	line[:14].strip()
   __a							=	line[15:].strip()
   __a							,  __a							=	PokerHand(_A       ), PokerHand(_A       )
   __a							=	player.compare_with(_A       )
   if output == "Win":
    answer += 1
 assert answer == 376



import copy
import os
from typing import Union

from ...configuration_utils import PretrainedConfig
from ...utils import logging


SCREAMING_SNAKE_CASE			:						List[Any]				  =		logging.get_logger(__name__)

SCREAMING_SNAKE_CASE			:						Optional[int]				  =		{
    """Salesforce/blip-vqa-base""": """https://huggingface.co/Salesforce/blip-vqa-base/resolve/main/config.json""",
    """Salesforce/blip-vqa-capfit-large""": (
        """https://huggingface.co/Salesforce/blip-vqa-base-capfit/resolve/main/config.json"""
    ),
    """Salesforce/blip-image-captioning-base""": (
        """https://huggingface.co/Salesforce/blip-image-captioning-base/resolve/main/config.json"""
    ),
    """Salesforce/blip-image-captioning-large""": (
        """https://huggingface.co/Salesforce/blip-image-captioning-large/resolve/main/config.json"""
    ),
    """Salesforce/blip-itm-base-coco""": """https://huggingface.co/Salesforce/blip-itm-base-coco/resolve/main/config.json""",
    """Salesforce/blip-itm-large-coco""": """https://huggingface.co/Salesforce/blip-itm-large-coco/resolve/main/config.json""",
    """Salesforce/blip-itm-base-flikr""": """https://huggingface.co/Salesforce/blip-itm-base-flikr/resolve/main/config.json""",
    """Salesforce/blip-itm-large-flikr""": (
        """https://huggingface.co/Salesforce/blip-itm-large-flikr/resolve/main/config.json"""
    ),
}
class  A_			(							a_			):
  _SCREAMING_SNAKE_CASE     					=      """blip_text_model"""

  def __init__(		self			:   Union[str, Any]  ,				__SCREAMING_SNAKE_CASE			:   str=3_05_24  ,				__SCREAMING_SNAKE_CASE			:   Any=7_68  ,				__SCREAMING_SNAKE_CASE			:   List[Any]=7_68  ,				__SCREAMING_SNAKE_CASE			:   Tuple=30_72  ,				__SCREAMING_SNAKE_CASE			:   Any=7_68  ,				__SCREAMING_SNAKE_CASE			:   Tuple=12  ,				__SCREAMING_SNAKE_CASE			:   Dict=8  ,				__SCREAMING_SNAKE_CASE			:   int=5_12  ,				__SCREAMING_SNAKE_CASE			:   List[Any]="gelu"  ,				__SCREAMING_SNAKE_CASE			:   int=1E-12  ,				__SCREAMING_SNAKE_CASE			:   Tuple=0.0  ,				__SCREAMING_SNAKE_CASE			:   Tuple=0.0  ,				__SCREAMING_SNAKE_CASE			:   Dict=0.02  ,				__SCREAMING_SNAKE_CASE			:   Optional[int]=3_05_22  ,				__SCREAMING_SNAKE_CASE			:   Any=2  ,				__SCREAMING_SNAKE_CASE			:   List[str]=0  ,				__SCREAMING_SNAKE_CASE			:   Optional[int]=1_02  ,				__SCREAMING_SNAKE_CASE			:   Optional[int]=True  ,				__SCREAMING_SNAKE_CASE			:   Dict=True  ,				**__SCREAMING_SNAKE_CASE			:   str  ,				):
   super().__init__(
       pad_token_id=__SCREAMING_SNAKE_CASE  ,				bos_token_id=__SCREAMING_SNAKE_CASE  ,				eos_token_id=__SCREAMING_SNAKE_CASE  ,				sep_token_id=__SCREAMING_SNAKE_CASE  ,				**__SCREAMING_SNAKE_CASE  ,				)

   __a							=	vocab_size
   __a							=	hidden_size
   __a							=	encoder_hidden_size
   __a							=	intermediate_size
   __a							=	projection_dim
   __a							=	hidden_dropout_prob
   __a							=	num_hidden_layers
   __a							=	num_attention_heads
   __a							=	max_position_embeddings
   __a							=	layer_norm_eps
   __a							=	hidden_act
   __a							=	initializer_range
   __a							=	attention_probs_dropout_prob
   __a							=	is_decoder
   __a							=	use_cache

  @classmethod
  def 		_UpperCAmelCase (		cls			:   Union[str, Any]  ,				__SCREAMING_SNAKE_CASE			:   Union[str, os.PathLike]  ,				**__SCREAMING_SNAKE_CASE			:   int							):
   cls._set_token_in_kwargs(__SCREAMING_SNAKE_CASE							)

   __a							,  __a							=	cls.get_config_dict(__SCREAMING_SNAKE_CASE  ,				**__SCREAMING_SNAKE_CASE							)

   # get the text config dict if we are loading from BlipConfig
   if config_dict.get("model_type"							) == "blip":
    __a							=	config_dict["text_config"]

   if "model_type" in config_dict and hasattr(cls  ,				"model_type"							) and config_dict["model_type"] != cls.model_type:
    logger.warning(
        f"""You are using a model of type {config_dict["model_type"]} to instantiate a model of type """
        f"""{cls.model_type}. This is not supported for all configurations of models and can yield errors."""							)

   return cls.from_dict(__SCREAMING_SNAKE_CASE  ,				**__SCREAMING_SNAKE_CASE							)
class  A_			(							a_			):
  _SCREAMING_SNAKE_CASE     					=      """blip_vision_model"""

  def __init__(		self			:   Optional[int]  ,				__SCREAMING_SNAKE_CASE			:   str=7_68  ,				__SCREAMING_SNAKE_CASE			:   Optional[Any]=30_72  ,				__SCREAMING_SNAKE_CASE			:   List[Any]=5_12  ,				__SCREAMING_SNAKE_CASE			:   int=12  ,				__SCREAMING_SNAKE_CASE			:   Optional[Any]=12  ,				__SCREAMING_SNAKE_CASE			:   Union[str, Any]=3_84  ,				__SCREAMING_SNAKE_CASE			:   str=16  ,				__SCREAMING_SNAKE_CASE			:   Optional[Any]="gelu"  ,				__SCREAMING_SNAKE_CASE			:   Union[str, Any]=1E-5  ,				__SCREAMING_SNAKE_CASE			:   Optional[Any]=0.0  ,				__SCREAMING_SNAKE_CASE			:   List[Any]=1E-10  ,				**__SCREAMING_SNAKE_CASE			:   List[str]  ,				):
   super().__init__(**__SCREAMING_SNAKE_CASE							)

   __a							=	hidden_size
   __a							=	intermediate_size
   __a							=	projection_dim
   __a							=	num_hidden_layers
   __a							=	num_attention_heads
   __a							=	patch_size
   __a							=	image_size
   __a							=	initializer_range
   __a							=	attention_dropout
   __a							=	layer_norm_eps
   __a							=	hidden_act

  @classmethod
  def 		_UpperCAmelCase (		cls			:   Optional[Any]  ,				__SCREAMING_SNAKE_CASE			:   Union[str, os.PathLike]  ,				**__SCREAMING_SNAKE_CASE			:   str							):
   cls._set_token_in_kwargs(__SCREAMING_SNAKE_CASE							)

   __a							,  __a							=	cls.get_config_dict(__SCREAMING_SNAKE_CASE  ,				**__SCREAMING_SNAKE_CASE							)

   # get the vision config dict if we are loading from BlipConfig
   if config_dict.get("model_type"							) == "blip":
    __a							=	config_dict["vision_config"]

   if "model_type" in config_dict and hasattr(cls  ,				"model_type"							) and config_dict["model_type"] != cls.model_type:
    logger.warning(
        f"""You are using a model of type {config_dict["model_type"]} to instantiate a model of type """
        f"""{cls.model_type}. This is not supported for all configurations of models and can yield errors."""							)

   return cls.from_dict(__SCREAMING_SNAKE_CASE  ,				**__SCREAMING_SNAKE_CASE							)
class  A_			(							a_			):
  _SCREAMING_SNAKE_CASE     					=      """blip"""
  _SCREAMING_SNAKE_CASE     					=      True

  def __init__(		self			:   Union[str, Any]  ,				__SCREAMING_SNAKE_CASE			:   Union[str, Any]=None  ,				__SCREAMING_SNAKE_CASE			:   Any=None  ,				__SCREAMING_SNAKE_CASE			:   int=5_12  ,				__SCREAMING_SNAKE_CASE			:   List[Any]=2.65_92  ,				__SCREAMING_SNAKE_CASE			:   Any=2_56  ,				**__SCREAMING_SNAKE_CASE			:   Any  ,				):
   super().__init__(**__SCREAMING_SNAKE_CASE							)

   if text_config is None:
    __a							=	{}
    logger.info("`text_config` is `None`. Initializing the `BlipTextConfig` with default values."							)

   if vision_config is None:
    __a							=	{}
    logger.info("`vision_config` is `None`. Initializing the `BlipVisionConfig` with default values."							)

   __a							=	BlipTextConfig(**__SCREAMING_SNAKE_CASE							)
   __a							=	BlipVisionConfig(**__SCREAMING_SNAKE_CASE							)

   __a							=	self.vision_config.hidden_size

   __a							=	projection_dim
   __a							=	logit_scale_init_value
   __a							=	1.0
   __a							=	0.02
   __a							=	image_text_hidden_size

  @classmethod
  def 		_UpperCAmelCase (		cls			:   Any  ,				__SCREAMING_SNAKE_CASE			:   BlipTextConfig  ,				__SCREAMING_SNAKE_CASE			:   BlipVisionConfig  ,				**__SCREAMING_SNAKE_CASE			:   List[Any]							):
   return cls(text_config=text_config.to_dict()  ,				vision_config=vision_config.to_dict()  ,				**__SCREAMING_SNAKE_CASE							)

  def 		_UpperCAmelCase (		self			:   Union[str, Any]							):
   __a							=	copy.deepcopy(self.__dict__							)
   __a							=	self.text_config.to_dict()
   __a							=	self.vision_config.to_dict()
   __a							=	self.__class__.model_type
   return output


