




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

import pytest

from .sola import PokerHand

SCREAMING_SNAKE_CASE__       :      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)
)

SCREAMING_SNAKE_CASE__       :      List[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__       :      Union[str, 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),
)

SCREAMING_SNAKE_CASE__       :      Optional[int]  =   (
    ('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__       :      Optional[int]  =   (
    ('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__       :      Dict  =   (
    ('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__       :      Optional[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      (      )	-> List[Any]:
       lowerCamelCase ,      lowerCamelCase   :      Tuple			 =					randrange(len(_SCREAMING_SNAKE_CASE    )    ), randrange(len(_SCREAMING_SNAKE_CASE    )    )
       lowerCamelCase   :      Optional[Any]			 =					["Loss", "Tie", "Win"][(play >= oppo) + (play > oppo)]
       lowerCamelCase ,      lowerCamelCase   :      Any			 =					SORTED_HANDS[play], SORTED_HANDS[oppo]
       return hand, other, expected

def      A      (      _SCREAMING_SNAKE_CASE = 100    )	-> Tuple:
       return (generate_random_hand() for _ in range(_SCREAMING_SNAKE_CASE    ))

@pytest.mark.parametrize("hand, expected" ,_SCREAMING_SNAKE_CASE    )
def      A      (      _SCREAMING_SNAKE_CASE ,_SCREAMING_SNAKE_CASE    )	-> List[str]:
       assert PokerHand(_SCREAMING_SNAKE_CASE    )._is_flush() == expected

@pytest.mark.parametrize("hand, expected" ,_SCREAMING_SNAKE_CASE    )
def      A      (      _SCREAMING_SNAKE_CASE ,_SCREAMING_SNAKE_CASE    )	-> List[str]:
       assert PokerHand(_SCREAMING_SNAKE_CASE    )._is_straight() == expected

@pytest.mark.parametrize("hand, expected, card_values" ,_SCREAMING_SNAKE_CASE    )
def      A      (      _SCREAMING_SNAKE_CASE ,_SCREAMING_SNAKE_CASE ,_SCREAMING_SNAKE_CASE    )	-> Union[str, Any]:
       lowerCamelCase   :      str			 =					PokerHand(_SCREAMING_SNAKE_CASE    )
       assert player._is_five_high_straight() == expected
       assert player._card_values == card_values

@pytest.mark.parametrize("hand, expected" ,_SCREAMING_SNAKE_CASE    )
def      A      (      _SCREAMING_SNAKE_CASE ,_SCREAMING_SNAKE_CASE    )	-> Any:
       assert PokerHand(_SCREAMING_SNAKE_CASE    )._is_same_kind() == expected

@pytest.mark.parametrize("hand, expected" ,_SCREAMING_SNAKE_CASE    )
def      A      (      _SCREAMING_SNAKE_CASE ,_SCREAMING_SNAKE_CASE    )	-> Optional[Any]:
       assert PokerHand(_SCREAMING_SNAKE_CASE    )._hand_type == expected

@pytest.mark.parametrize("hand, other, expected" ,_SCREAMING_SNAKE_CASE    )
def      A      (      _SCREAMING_SNAKE_CASE ,_SCREAMING_SNAKE_CASE ,_SCREAMING_SNAKE_CASE    )	-> Optional[Any]:
       assert PokerHand(_SCREAMING_SNAKE_CASE    ).compare_with(PokerHand(_SCREAMING_SNAKE_CASE    )    ) == expected

@pytest.mark.parametrize("hand, other, expected" ,generate_random_hands()    )
def      A      (      _SCREAMING_SNAKE_CASE ,_SCREAMING_SNAKE_CASE ,_SCREAMING_SNAKE_CASE    )	-> int:
       assert PokerHand(_SCREAMING_SNAKE_CASE    ).compare_with(PokerHand(_SCREAMING_SNAKE_CASE    )    ) == expected

def      A      (      )	-> Tuple:
       lowerCamelCase   :      Union[str, Any]			 =					[PokerHand(_SCREAMING_SNAKE_CASE    ) for hand in SORTED_HANDS]
       lowerCamelCase   :      int			 =					poker_hands.copy()
       shuffle(_SCREAMING_SNAKE_CASE    )
       lowerCamelCase   :      str			 =					chain(sorted(_SCREAMING_SNAKE_CASE    )    )
       for index, hand in enumerate(_SCREAMING_SNAKE_CASE    ):
              assert hand == poker_hands[index]

def      A      (      )	-> List[Any]:
       # Test that five high straights are compared correctly.
       lowerCamelCase   :      List[str]			 =					[PokerHand("2D AC 3H 4H 5S"    ), PokerHand("2S 3H 4H 5S 6C"    )]
       pokerhands.sort(reverse=_SCREAMING_SNAKE_CASE    )
       assert pokerhands[0].__str__() == "2S 3H 4H 5S 6C"

def      A      (      )	-> Optional[int]:
       # Multiple calls to five_high_straight function should still return True
       # and shouldn't mutate the list in every call other than the first.
       lowerCamelCase   :      Any			 =					PokerHand("2C 4S AS 3D 5C"    )
       lowerCamelCase   :      Optional[int]			 =					True
       lowerCamelCase   :      List[str]			 =					[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      (      )	-> Union[str, Any]:
       # Problem number 54 from Project Euler
       # Testing from poker_hands.txt file
       lowerCamelCase   :      Any			 =					0
       lowerCamelCase   :      str			 =					os.path.abspath(os.path.dirname(_SCREAMING_SNAKE_CASE    )    )
       lowerCamelCase   :      Optional[Any]			 =					os.path.join(_SCREAMING_SNAKE_CASE ,"poker_hands.txt"    )
       with open(_SCREAMING_SNAKE_CASE    ) as file_hand:
              for line in file_hand:
                     lowerCamelCase   :      Tuple			 =					line[:14].strip()
                     lowerCamelCase   :      Any			 =					line[15:].strip()
                     lowerCamelCase ,      lowerCamelCase   :      int			 =					PokerHand(_SCREAMING_SNAKE_CASE    ), PokerHand(_SCREAMING_SNAKE_CASE    )
                     lowerCamelCase   :      Tuple			 =					player.compare_with(_SCREAMING_SNAKE_CASE    )
                     if output == "Win":
                            answer += 1
       assert answer == 376








# This script creates a super tiny model that is useful inside tests, when we just want to test that
# the machinery works, without needing to the check the quality of the outcomes.
#
# This version creates a tiny model through reduction of a normal pre-trained model, but keeping the
# full vocab, merges file, and thus also resulting in a larger model due to a large vocab size.
# This gives ~3MB in total for all files.
#
# If you want a 50 times smaller than this see `fsmt-make-super-tiny-model.py`, which is slightly more complicated
#
#
# It will be used then as "stas/tiny-wmt19-en-de"

# Build
from transformers import FSMTTokenizer, FSMTConfig, FSMTForConditionalGeneration

snake_case :		List[str]							      =  "facebook/wmt19-en-de"
snake_case :		Dict							      =  FSMTTokenizer.from_pretrained(mname)
# get the correct vocab sizes, etc. from the master model
snake_case :		List[str]							      =  FSMTConfig.from_pretrained(mname)
config.update(
    dict(
        d_model=4,
        encoder_layers=1,
        decoder_layers=1,
        encoder_ffn_dim=4,
        decoder_ffn_dim=4,
        encoder_attention_heads=1,
        decoder_attention_heads=1,
    )
)

snake_case :		int							      =  FSMTForConditionalGeneration(config)
print(F"num of params {tiny_model.num_parameters()}")

# Test
snake_case :		Optional[Any]							      =  tokenizer(["Making tiny model"], return_tensors="pt")
snake_case :		List[str]							      =  tiny_model(**batch)

print("test output:", len(outputs.logits[0]))

# Save
snake_case :		Dict							      =  "tiny-wmt19-en-de"
tiny_model.half()  # makes it smaller
tiny_model.save_pretrained(mname_tiny)
tokenizer.save_pretrained(mname_tiny)

print(F"Generated {mname_tiny}")

# Upload
# transformers-cli upload tiny-wmt19-en-de
