

'''simple docstring'''





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, 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_    						=       (
    ("""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""", 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 				_lowerCAmelCase			(   )				->  List[Any]:
						lowercase		,	lowercase :							Dict    		=randrange(len(__magic_name__						)						), randrange(len(__magic_name__						)						)
						lowercase :							Optional[int]    		=['''Loss''', '''Tie''', '''Win'''][(play >= oppo) + (play > oppo)]
						lowercase		,	lowercase :							List[str]    		=SORTED_HANDS[play], SORTED_HANDS[oppo]
						return hand, other, expected






def 				_lowerCAmelCase			(   __magic_name__						:     int = 100						)				->  Optional[int]:
						return (generate_random_hand() for _ in range(__magic_name__						))






@pytest.mark.parametrize('''hand, expected'''   , __magic_name__						)
def 				_lowerCAmelCase			(   __magic_name__						:     List[str]   , __magic_name__						:     Any						)				->  List[str]:
						assert PokerHand(__magic_name__						)._is_flush() == expected






@pytest.mark.parametrize('''hand, expected'''   , __magic_name__						)
def 				_lowerCAmelCase			(   __magic_name__						:     Any   , __magic_name__						:     List[Any]						)				->  Any:
						assert PokerHand(__magic_name__						)._is_straight() == expected






@pytest.mark.parametrize('''hand, expected, card_values'''   , __magic_name__						)
def 				_lowerCAmelCase			(   __magic_name__						:     Any   , __magic_name__						:     Optional[Any]   , __magic_name__						:     int						)				->  Any:
						lowercase :							Tuple    		=PokerHand(__magic_name__						)
						assert player._is_five_high_straight() == expected
						assert player._card_values == card_values






@pytest.mark.parametrize('''hand, expected'''   , __magic_name__						)
def 				_lowerCAmelCase			(   __magic_name__						:     str   , __magic_name__						:     Dict						)				->  Any:
						assert PokerHand(__magic_name__						)._is_same_kind() == expected






@pytest.mark.parametrize('''hand, expected'''   , __magic_name__						)
def 				_lowerCAmelCase			(   __magic_name__						:     str   , __magic_name__						:     Tuple						)				->  Tuple:
						assert PokerHand(__magic_name__						)._hand_type == expected






@pytest.mark.parametrize('''hand, other, expected'''   , __magic_name__						)
def 				_lowerCAmelCase			(   __magic_name__						:     Tuple   , __magic_name__						:     Any   , __magic_name__						:     Optional[Any]						)				->  List[Any]:
						assert PokerHand(__magic_name__						).compare_with(PokerHand(__magic_name__						)						) == expected






@pytest.mark.parametrize('''hand, other, expected'''   , generate_random_hands()						)
def 				_lowerCAmelCase			(   __magic_name__						:     List[str]   , __magic_name__						:     Optional[int]   , __magic_name__						:     Tuple						)				->  int:
						assert PokerHand(__magic_name__						).compare_with(PokerHand(__magic_name__						)						) == expected






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






def 				_lowerCAmelCase			(   )				->  Optional[int]:
						# Test that five high straights are compared correctly.
						lowercase :							Optional[int]    		=[PokerHand('''2D AC 3H 4H 5S'''						), PokerHand('''2S 3H 4H 5S 6C'''						)]
						pokerhands.sort(reverse=__magic_name__						)
						assert pokerhands[0].__str__() == "2S 3H 4H 5S 6C"






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












'''simple docstring'''

from collections import OrderedDict
from typing import TYPE_CHECKING, Any, Mapping, Optional, Union

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig, OnnxSeqaSeqConfigWithPast
from ...utils import logging


if TYPE_CHECKING:
   from ...feature_extraction_utils import FeatureExtractionMixin
   from ...tokenization_utils_base import PreTrainedTokenizerBase
   from ...utils import TensorType

lowercase__		:     Optional[Any]			=							logging.get_logger(__name__)

lowercase__		:     Union[str, Any]			=							{
    'openai/whisper-base': 'https://huggingface.co/openai/whisper-base/resolve/main/config.json',
}

# fmt: off
lowercase__		:     Any			=							[
    1, 2, 7, 8, 9, 10, 14, 25,
    26, 27, 28, 29, 31, 58, 59, 60, 61, 62,
    63, 90, 91, 92, 93, 3_57, 3_66, 4_38, 5_32, 6_85,
    7_05, 7_96, 9_30, 10_58, 12_20, 12_67, 12_79, 13_03, 13_43, 13_77,
    13_91, 16_35, 17_82, 18_75, 21_62, 23_61, 24_88, 34_67, 40_08, 42_11,
    46_00, 48_08, 52_99, 58_55, 63_29, 72_03, 96_09, 99_59, 1_05_63, 1_07_86,
    1_14_20, 1_17_09, 1_19_07, 1_31_63, 1_36_97, 1_37_00, 1_48_08, 1_53_06, 1_64_10, 1_67_91,
    1_79_92, 1_92_03, 1_95_10, 2_07_24, 2_23_05, 2_29_35, 2_70_07, 3_01_09, 3_04_20, 3_34_09,
    3_49_49, 4_02_83, 4_04_93, 4_05_49, 4_72_82, 4_91_46, 5_02_57, 5_03_59, 5_03_60, 5_03_61
]
lowercase__		:     str			=							[
    1, 2, 7, 8, 9, 10, 14, 25,
    26, 27, 28, 29, 31, 58, 59, 60, 61, 62,
    63, 90, 91, 92, 93, 3_59, 5_03, 5_22, 5_42, 8_73,
    8_93, 9_02, 9_18, 9_22, 9_31, 13_50, 18_53, 19_82, 24_60, 26_27,
    32_46, 32_53, 32_68, 35_36, 38_46, 39_61, 41_83, 46_67, 65_85, 66_47,
    72_73, 90_61, 93_83, 1_04_28, 1_09_29, 1_19_38, 1_20_33, 1_23_31, 1_25_62, 1_37_93,
    1_41_57, 1_46_35, 1_52_65, 1_56_18, 1_65_53, 1_66_04, 1_83_62, 1_89_56, 2_00_75, 2_16_75,
    2_25_20, 2_61_30, 2_61_61, 2_64_35, 2_82_79, 2_94_64, 3_16_50, 3_23_02, 3_24_70, 3_68_65,
    4_28_63, 4_74_25, 4_98_70, 5_02_54, 5_02_58, 5_03_60, 5_03_61, 5_03_62
]
class 							__lowerCAmelCase	(       __magic_name__					):






       """simple docstring"""
       _snake_case      :	Optional[int]									=       'whisper'
       _snake_case      :	Union[str, Any]									=       ['past_key_values']
       _snake_case      :	Union[str, Any]									=       {'num_attention_heads': 'encoder_attention_heads', 'hidden_size': 'd_model'}





       def __init__(				self  :						Tuple			,					lowerCAmelCase__  :						List[str]=51865			,					lowerCAmelCase__  :						Optional[Any]=80			,					lowerCAmelCase__  :						Optional[int]=6			,					lowerCAmelCase__  :						List[Any]=4			,					lowerCAmelCase__  :						Any=6			,					lowerCAmelCase__  :						List[Any]=4			,					lowerCAmelCase__  :						List[Any]=1536			,					lowerCAmelCase__  :						Dict=1536			,					lowerCAmelCase__  :						int=0.0			,					lowerCAmelCase__  :						Optional[Any]=0.0			,					lowerCAmelCase__  :						int=50257			,					lowerCAmelCase__  :						Tuple=True			,					lowerCAmelCase__  :						Optional[Any]=True			,					lowerCAmelCase__  :						Optional[int]="gelu"			,					lowerCAmelCase__  :						Optional[int]=256			,					lowerCAmelCase__  :						Any=0.0			,					lowerCAmelCase__  :						Tuple=0.0			,					lowerCAmelCase__  :						Optional[Any]=0.0			,					lowerCAmelCase__  :						str=0.02			,					lowerCAmelCase__  :						Dict=False			,					lowerCAmelCase__  :						int=1500			,					lowerCAmelCase__  :						int=448			,					lowerCAmelCase__  :						Union[str, Any]=50256			,					lowerCAmelCase__  :						str=50256			,					lowerCAmelCase__  :						Optional[int]=50256			,					lowerCAmelCase__  :						List[str]=None			,					lowerCAmelCase__  :						Optional[int]=[220, 50256]			,					lowerCAmelCase__  :						List[Any]=False			,					lowerCAmelCase__  :						str=256			,					lowerCAmelCase__  :						Optional[Any]=False			,					lowerCAmelCase__  :						Any=0.05			,					lowerCAmelCase__  :						Optional[int]=10			,					lowerCAmelCase__  :						Dict=2			,					lowerCAmelCase__  :						int=0.0			,					lowerCAmelCase__  :						Dict=10			,					lowerCAmelCase__  :						List[str]=0			,					lowerCAmelCase__  :						List[Any]=7			,					**lowerCAmelCase__  :						List[str]			,					)       ->	Any:

            '''simple docstring'''




            _UpperCamelCase							       =			vocab_size
            _UpperCamelCase							       =			num_mel_bins
            _UpperCamelCase							       =			d_model
            _UpperCamelCase							       =			encoder_layers
            _UpperCamelCase							       =			encoder_attention_heads
            _UpperCamelCase							       =			decoder_layers
            _UpperCamelCase							       =			decoder_attention_heads
            _UpperCamelCase							       =			decoder_ffn_dim
            _UpperCamelCase							       =			encoder_ffn_dim
            _UpperCamelCase							       =			dropout
            _UpperCamelCase							       =			attention_dropout
            _UpperCamelCase							       =			activation_dropout
            _UpperCamelCase							       =			activation_function
            _UpperCamelCase							       =			init_std
            _UpperCamelCase							       =			encoder_layerdrop
            _UpperCamelCase							       =			decoder_layerdrop
            _UpperCamelCase							       =			use_cache
            _UpperCamelCase							       =			encoder_layers
            _UpperCamelCase							       =			scale_embedding  # scale factor will be sqrt(d_model) if True
            _UpperCamelCase							       =			max_source_positions
            _UpperCamelCase							       =			max_target_positions

            # Audio Classification-specific parameters. Feel free to ignore for other classes.
            _UpperCamelCase							       =			classifier_proj_size
            _UpperCamelCase							       =			use_weighted_layer_sum

            # fine-tuning config parameters for SpecAugment: https://arxiv.org/abs/1904.08779
            _UpperCamelCase							       =			apply_spec_augment
            _UpperCamelCase							       =			mask_time_prob
            _UpperCamelCase							       =			mask_time_length
            _UpperCamelCase							       =			mask_time_min_masks
            _UpperCamelCase							       =			mask_feature_prob
            _UpperCamelCase							       =			mask_feature_length
            _UpperCamelCase							       =			mask_feature_min_masks

            _UpperCamelCase							       =			median_filter_width

            super().__init__(
                pad_token_id=lowerCAmelCase__			,					bos_token_id=lowerCAmelCase__			,					eos_token_id=lowerCAmelCase__			,					is_encoder_decoder=lowerCAmelCase__			,					decoder_start_token_id=lowerCAmelCase__			,					suppress_tokens=lowerCAmelCase__			,					begin_suppress_tokens=lowerCAmelCase__			,					**lowerCAmelCase__			,					)

class 							__lowerCAmelCase	(       __magic_name__					):






       """simple docstring"""





       @property
       def snake_case__		(				self  :						Optional[Any]	)       ->	Mapping[str, Mapping[int, str]]:

            '''simple docstring'''




            _UpperCamelCase							       =			OrderedDict(
                [
                    ('''input_features''', {0: '''batch''', 1: '''feature_size''', 2: '''encoder_sequence'''}),
                ]	)
            if self.use_past:
                 _UpperCamelCase							       =			{0: '''batch'''}
            else:
                 _UpperCamelCase							       =			{0: '''batch''', 1: '''decoder_sequence'''}

            if self.use_past:
                 self.fill_with_past_key_values_(lowerCAmelCase__			,					direction='''inputs'''	)

            return common_inputs





       def snake_case__		(				self  :						Dict			,					lowerCAmelCase__  :						Union["PreTrainedTokenizerBase", "FeatureExtractionMixin"]			,					lowerCAmelCase__  :						int = -1			,					lowerCAmelCase__  :						int = -1			,					lowerCAmelCase__  :						bool = False			,					lowerCAmelCase__  :						Optional["TensorType"] = None			,					lowerCAmelCase__  :						int = 22050			,					lowerCAmelCase__  :						float = 5.0			,					lowerCAmelCase__  :						int = 220			,					)       ->	Mapping[str, Any]:

            '''simple docstring'''




            _UpperCamelCase							       =			OrderedDict()
            _UpperCamelCase							       =			OnnxConfig.generate_dummy_inputs(
                self			,					preprocessor=preprocessor.feature_extractor			,					batch_size=lowerCAmelCase__			,					framework=lowerCAmelCase__			,					sampling_rate=lowerCAmelCase__			,					time_duration=lowerCAmelCase__			,					frequency=lowerCAmelCase__			,					)
            _UpperCamelCase							       =			encoder_inputs['''input_features'''].shape[2]
            _UpperCamelCase							       =			encoder_sequence_length // 2 if self.use_past else seq_length

            _UpperCamelCase							       =			super().generate_dummy_inputs(
                preprocessor.tokenizer			,					lowerCAmelCase__			,					lowerCAmelCase__			,					lowerCAmelCase__			,					lowerCAmelCase__	)

            _UpperCamelCase							       =			encoder_inputs.pop('''input_features'''	)
            _UpperCamelCase							       =			decoder_inputs.pop('''decoder_input_ids'''	)

            if "past_key_values" in decoder_inputs:
                 _UpperCamelCase							       =			decoder_inputs.pop('''past_key_values'''	)

            return dummy_inputs







       @property
       def snake_case__		(				self  :						List[Any]	)       ->	float:

            '''simple docstring'''




            return 1e-3



