"""simple docstring"""





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

import pytest

from .sola import PokerHand

_UpperCamelCase   :						List[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)
)

_UpperCamelCase   :						Tuple      =    (
    ("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"),
)

_UpperCamelCase   :						List[str]      =    (
    ("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),
)

_UpperCamelCase   :						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),
)

_UpperCamelCase   :						List[Any]      =    (
    ("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]),
)

_UpperCamelCase   :						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),
)

_UpperCamelCase   :						List[Any]      =    (
    ("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'''

       lowercase__    ,      lowercase__			:		Dict       =	randrange(len(_lowerCAmelCase     )     ), randrange(len(_lowerCAmelCase     )     )
       lowercase__			:		str       =	['Loss', 'Tie', 'Win'][(play >= oppo) + (play > oppo)]
       lowercase__    ,      lowercase__			:		Dict       =	SORTED_HANDS[play], SORTED_HANDS[oppo]
       return hand, other, expected





def 				a_     (      _lowerCAmelCase  : int = 100     ):





       '''simple docstring'''

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





@pytest.mark.parametrize('hand, expected'   , _lowerCAmelCase     )
def 				a_     (      _lowerCAmelCase  : List[str]   , _lowerCAmelCase  : List[str]     ):





       '''simple docstring'''

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





@pytest.mark.parametrize('hand, expected'   , _lowerCAmelCase     )
def 				a_     (      _lowerCAmelCase  : Optional[Any]   , _lowerCAmelCase  : Union[str, Any]     ):





       '''simple docstring'''

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





@pytest.mark.parametrize('hand, expected, card_values'   , _lowerCAmelCase     )
def 				a_     (      _lowerCAmelCase  : int   , _lowerCAmelCase  : List[str]   , _lowerCAmelCase  : Any     ):





       '''simple docstring'''

       lowercase__			:		Any       =	PokerHand(_lowerCAmelCase     )
       assert player._is_five_high_straight() == expected
       assert player._card_values == card_values





@pytest.mark.parametrize('hand, expected'   , _lowerCAmelCase     )
def 				a_     (      _lowerCAmelCase  : Any   , _lowerCAmelCase  : Tuple     ):





       '''simple docstring'''

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





@pytest.mark.parametrize('hand, expected'   , _lowerCAmelCase     )
def 				a_     (      _lowerCAmelCase  : Optional[int]   , _lowerCAmelCase  : Optional[Any]     ):





       '''simple docstring'''

       assert PokerHand(_lowerCAmelCase     )._hand_type == expected





@pytest.mark.parametrize('hand, other, expected'   , _lowerCAmelCase     )
def 				a_     (      _lowerCAmelCase  : int   , _lowerCAmelCase  : int   , _lowerCAmelCase  : Optional[Any]     ):





       '''simple docstring'''

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





@pytest.mark.parametrize('hand, other, expected'   , generate_random_hands()     )
def 				a_     (      _lowerCAmelCase  : Dict   , _lowerCAmelCase  : Tuple   , _lowerCAmelCase  : List[str]     ):





       '''simple docstring'''

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





def 				a_     (      ):





       '''simple docstring'''

       lowercase__			:		List[str]       =	[PokerHand(_lowerCAmelCase     ) for hand in SORTED_HANDS]
       lowercase__			:		int       =	poker_hands.copy()
       shuffle(_lowerCAmelCase     )
       lowercase__			:		Optional[int]       =	chain(sorted(_lowerCAmelCase     )     )
       for index, hand in enumerate(_lowerCAmelCase     ):
              assert hand == poker_hands[index]





def 				a_     (      ):





       '''simple docstring'''

       lowercase__			:		List[str]       =	[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_     (      ):





       '''simple docstring'''

       lowercase__			:		int       =	PokerHand('2C 4S AS 3D 5C'     )
       lowercase__			:		Optional[Any]       =	True
       lowercase__			:		Optional[int]       =	[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'''

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




import argparse

import torch

from transformers import GPTaConfig, GPTaModel, load_tf_weights_in_gpta
from transformers.utils import CONFIG_NAME, WEIGHTS_NAME, logging


logging.set_verbosity_info()

def 						UpperCamelCase					(lowercase_: int    ,      lowercase_: Dict    ,      lowercase_: Tuple					)     ->      Any:
	# Construct model
	if gpta_config_file == "":
		A__							:    Dict        =		GPTaConfig()
	else:
		A__							:    List[Any]        =		GPTaConfig.from_json_file(lowercase_					)
	A__							:    Tuple        =		GPTaModel(lowercase_					)

	# Load weights from numpy
	load_tf_weights_in_gpta(lowercase_    ,      lowercase_    ,      lowercase_					)

	# Save pytorch-model
	A__							:    Optional[Any]        =		pytorch_dump_folder_path + """/""" + WEIGHTS_NAME
	A__							:    Optional[Any]        =		pytorch_dump_folder_path + """/""" + CONFIG_NAME
	print(f"""Save PyTorch model to {pytorch_weights_dump_path}"""					)
	torch.save(model.state_dict()    ,      lowercase_					)
	print(f"""Save configuration file to {pytorch_config_dump_path}"""					)
	with open(lowercase_    ,      """w"""    ,      encoding="""utf-8"""					) as f:
		f.write(config.to_json_string()					)


if __name__ == "__main__":
	A_       : Union[str, Any]         =			argparse.ArgumentParser()
	# Required parameters
	parser.add_argument(
	    '--gpt2_checkpoint_path', default=None, type=str, required=True, help='Path to the TensorFlow checkpoint path.'
	)
	parser.add_argument(
	    '--pytorch_dump_folder_path', default=None, type=str, required=True, help='Path to the output PyTorch model.'
	)
	parser.add_argument(
	    '--gpt2_config_file',
	    default='',
	    type=str,
	    help=(
	        'An optional config json file corresponding to the pre-trained OpenAI model. \n'
	        'This specifies the model architecture.'
	    ),
	)
	A_       : str         =			parser.parse_args()
	convert_gpta_checkpoint_to_pytorch(args.gpta_checkpoint_path, args.gpta_config_file, args.pytorch_dump_folder_path)



