




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

import pytest

from .sola import PokerHand

UpperCAmelCase_			    =							(
    '''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_			    =							(
    ('''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_			    =							(
    ('''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_			    =							(
    ('''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_			    =							(
    ('''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]),
)

UpperCAmelCase_			    =							(
    ('''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_			    =							(
    ('''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       lowerCAmelCase_     (		)    ->				Dict:







 '''simple docstring'''
 _UpperCamelCase:     Optional[Any]							= randrange(len(_lowercase		)		), randrange(len(_lowercase		)		)
 _UpperCamelCase:     List[Any]							= ['Loss', 'Tie', 'Win'][(play >= oppo) + (play > oppo)]
 _UpperCamelCase:     str							= SORTED_HANDS[play], SORTED_HANDS[oppo]
 return hand, other, expected




def       lowerCAmelCase_     (		lowercase:							Tuple = 100		)    ->				Any:







 '''simple docstring'''
 return (generate_random_hand() for _ in range(_lowercase		))




@pytest.mark.parametrize('''hand, expected'''  ,					_lowercase		)
def       lowerCAmelCase_     (		lowercase:							str  ,					lowercase:							List[Any]		)    ->				Union[str, Any]:







 '''simple docstring'''
 assert PokerHand(_lowercase		)._is_flush() == expected




@pytest.mark.parametrize('''hand, expected'''  ,					_lowercase		)
def       lowerCAmelCase_     (		lowercase:							List[Any]  ,					lowercase:							Dict		)    ->				List[str]:







 '''simple docstring'''
 assert PokerHand(_lowercase		)._is_straight() == expected




@pytest.mark.parametrize('''hand, expected, card_values'''  ,					_lowercase		)
def       lowerCAmelCase_     (		lowercase:							Dict  ,					lowercase:							List[str]  ,					lowercase:							Dict		)    ->				Optional[Any]:







 '''simple docstring'''
 _UpperCamelCase:     List[Any]							= PokerHand(_lowercase		)
 assert player._is_five_high_straight() == expected
 assert player._card_values == card_values




@pytest.mark.parametrize('''hand, expected'''  ,					_lowercase		)
def       lowerCAmelCase_     (		lowercase:							Optional[int]  ,					lowercase:							Any		)    ->				Union[str, Any]:







 '''simple docstring'''
 assert PokerHand(_lowercase		)._is_same_kind() == expected




@pytest.mark.parametrize('''hand, expected'''  ,					_lowercase		)
def       lowerCAmelCase_     (		lowercase:							List[Any]  ,					lowercase:							Dict		)    ->				Union[str, Any]:







 '''simple docstring'''
 assert PokerHand(_lowercase		)._hand_type == expected




@pytest.mark.parametrize('''hand, other, expected'''  ,					_lowercase		)
def       lowerCAmelCase_     (		lowercase:							Optional[int]  ,					lowercase:							Tuple  ,					lowercase:							Optional[int]		)    ->				Dict:







 '''simple docstring'''
 assert PokerHand(_lowercase		).compare_with(PokerHand(_lowercase		)		) == expected




@pytest.mark.parametrize('''hand, other, expected'''  ,					generate_random_hands()		)
def       lowerCAmelCase_     (		lowercase:							Tuple  ,					lowercase:							List[str]  ,					lowercase:							List[Any]		)    ->				str:







 '''simple docstring'''
 assert PokerHand(_lowercase		).compare_with(PokerHand(_lowercase		)		) == expected




def       lowerCAmelCase_     (		)    ->				Dict:







 '''simple docstring'''
 _UpperCamelCase:     Optional[int]							= [PokerHand(_lowercase		) for hand in SORTED_HANDS]
 _UpperCamelCase:     Tuple							= poker_hands.copy()
 shuffle(_lowercase		)
 _UpperCamelCase:     Optional[int]							= chain(sorted(_lowercase		)		)
 for index, hand in enumerate(_lowercase		):
  assert hand == poker_hands[index]




def       lowerCAmelCase_     (		)    ->				Any:







 '''simple docstring'''
 # Test that five high straights are compared correctly.
 _UpperCamelCase:     List[Any]							= [PokerHand('''2D AC 3H 4H 5S'''		), PokerHand('''2S 3H 4H 5S 6C'''		)]
 pokerhands.sort(reverse=_lowercase		)
 assert pokerhands[0].__str__() == "2S 3H 4H 5S 6C"




def       lowerCAmelCase_     (		)    ->				List[str]:







 '''simple docstring'''
 # Multiple calls to five_high_straight function should still return True
 # and shouldn't mutate the list in every call other than the first.
 _UpperCamelCase:     Tuple							= PokerHand('''2C 4S AS 3D 5C'''		)
 _UpperCamelCase:     Any							= True
 _UpperCamelCase:     Optional[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       lowerCAmelCase_     (		)    ->				Any:







 '''simple docstring'''
 # Problem number 54 from Project Euler
 # Testing from poker_hands.txt file
 _UpperCamelCase:     Optional[int]							= 0
 _UpperCamelCase:     int							= os.path.abspath(os.path.dirname(_lowercase		)		)
 _UpperCamelCase:     Optional[int]							= os.path.join(_lowercase  ,					'''poker_hands.txt'''		)
 with open(_lowercase		) as file_hand:
  for line in file_hand:
   _UpperCamelCase:     Optional[int]							= line[:14].strip()
   _UpperCamelCase:     str							= line[15:].strip()
   _UpperCamelCase:     str							= PokerHand(_lowercase		), PokerHand(_lowercase		)
   _UpperCamelCase:     Optional[int]							= player.compare_with(_lowercase		)
   if output == "Win":
    answer += 1
 assert answer == 376
import argparse

import torch
from torch import nn

from transformers import MaMaaaConfig, MaMaaaForConditionalGeneration




def       lowerCAmelCase_     (		lowercase:							Any		)    ->				Optional[Any]:







 '''simple docstring'''
 _UpperCamelCase:     Tuple							= [
     '''encoder.version''',
     '''decoder.version''',
     '''model.encoder.version''',
     '''model.decoder.version''',
     '''decoder.output_projection.weight''',
     '''_float_tensor''',
     '''encoder.embed_positions._float_tensor''',
     '''decoder.embed_positions._float_tensor''',
 ]
 for k in ignore_keys:
  state_dict.pop(lowercase  ,					lowercase		)




def       lowerCAmelCase_     (		lowercase:							int		)    ->				Dict:







 '''simple docstring'''
 _UpperCamelCase	,							_UpperCamelCase:     Optional[int]							= emb.weight.shape
 _UpperCamelCase:     int							= nn.Linear(lowercase  ,					lowercase  ,					bias=lowercase		)
 _UpperCamelCase:     Any							= emb.weight.data
 return lin_layer




def       lowerCAmelCase_     (		lowercase:							Optional[Any]		)    ->				Any:







 '''simple docstring'''
 _UpperCamelCase:     Optional[int]							= torch.load(lowercase  ,					map_location='''cpu'''		)
 _UpperCamelCase:     Any							= mam_aaa['''args'''] or mam_aaa['''cfg''']['''model''']
 _UpperCamelCase:     List[Any]							= mam_aaa['''model''']
 remove_ignore_keys_(lowercase		)
 _UpperCamelCase:     Tuple							= state_dict['''encoder.embed_tokens.weight'''].shape[0]

 _UpperCamelCase:     List[Any]							= MaMaaaConfig(
     vocab_size=lowercase  ,					max_position_embeddings=1_024  ,					encoder_layers=args.encoder_layers  ,					decoder_layers=args.decoder_layers  ,					encoder_attention_heads=args.encoder_attention_heads  ,					decoder_attention_heads=args.decoder_attention_heads  ,					encoder_ffn_dim=args.encoder_ffn_embed_dim  ,					decoder_ffn_dim=args.decoder_ffn_embed_dim  ,					d_model=args.encoder_embed_dim  ,					encoder_layerdrop=args.encoder_layerdrop  ,					decoder_layerdrop=args.decoder_layerdrop  ,					dropout=args.dropout  ,					attention_dropout=args.attention_dropout  ,					activation_dropout=args.activation_dropout  ,					activation_function='''relu'''  ,					)

 _UpperCamelCase:     List[Any]							= state_dict['''decoder.embed_tokens.weight''']
 _UpperCamelCase:     Optional[int]							= MaMaaaForConditionalGeneration(lowercase		)
 model.model.load_state_dict(lowercase  ,					strict=lowercase		)
 _UpperCamelCase:     Optional[Any]							= make_linear_from_emb(model.model.shared		)

 return model


if __name__ == "__main__":
  UpperCAmelCase_			    =							argparse.ArgumentParser()
  # Required parameters
  parser.add_argument('''fairseq_path''', type=str, help='''path to a model.pt on local filesystem.''')
  parser.add_argument('''pytorch_dump_folder_path''', default=None, type=str, help='''Path to the output PyTorch model.''')
  UpperCAmelCase_			    =							parser.parse_args()
  UpperCAmelCase_			    =							convert_fairseq_mamaaa_checkpoint_from_disk(args.fairseq_pathß)
  model.save_pretrained(args.pytorch_dump_folder_path)