




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

import pytest

from .sola import PokerHand

_lowerCAmelCase						:   int		=   (
    "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)
)

_lowerCAmelCase						:   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"),
)

_lowerCAmelCase						:   int		=   (
    ("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),
)

_lowerCAmelCase						:   List[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),
)

_lowerCAmelCase						:   str		=   (
    ("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]),
)

_lowerCAmelCase						:   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),
)

_lowerCAmelCase						:   List[str]		=   (
    ("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		(		):




 """simple docstring"""







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



def 						lowerCAmelCase		(		_lowerCAmelCase							:   int = 100	):




 """simple docstring"""







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



@pytest.mark.parametrize("hand, expected"						,							_lowerCAmelCase	)
def 						lowerCAmelCase		(		_lowerCAmelCase							:   Any						,							_lowerCAmelCase							:   Dict	):




 """simple docstring"""







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



@pytest.mark.parametrize("hand, expected"						,							_lowerCAmelCase	)
def 						lowerCAmelCase		(		_lowerCAmelCase							:   Optional[Any]						,							_lowerCAmelCase							:   List[Any]	):




 """simple docstring"""







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



@pytest.mark.parametrize("hand, expected, card_values"						,							_lowerCAmelCase	)
def 						lowerCAmelCase		(		_lowerCAmelCase							:   str						,							_lowerCAmelCase							:   Any						,							_lowerCAmelCase							:   Any	):




 """simple docstring"""







 UpperCAmelCase__							 =						PokerHand(_lowerCAmelCase	)
 assert player._is_five_high_straight() == expected
 assert player._card_values == card_values



@pytest.mark.parametrize("hand, expected"						,							_lowerCAmelCase	)
def 						lowerCAmelCase		(		_lowerCAmelCase							:   Dict						,							_lowerCAmelCase							:   Optional[int]	):




 """simple docstring"""







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



@pytest.mark.parametrize("hand, expected"						,							_lowerCAmelCase	)
def 						lowerCAmelCase		(		_lowerCAmelCase							:   str						,							_lowerCAmelCase							:   Dict	):




 """simple docstring"""







 assert PokerHand(_lowerCAmelCase	)._hand_type == expected



@pytest.mark.parametrize("hand, other, expected"						,							_lowerCAmelCase	)
def 						lowerCAmelCase		(		_lowerCAmelCase							:   Union[str, Any]						,							_lowerCAmelCase							:   List[Any]						,							_lowerCAmelCase							:   Union[str, Any]	):




 """simple docstring"""







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



@pytest.mark.parametrize("hand, other, expected"						,							generate_random_hands()	)
def 						lowerCAmelCase		(		_lowerCAmelCase							:   int						,							_lowerCAmelCase							:   str						,							_lowerCAmelCase							:   str	):




 """simple docstring"""







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



def 						lowerCAmelCase		(		):




 """simple docstring"""







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



def 						lowerCAmelCase		(		):




 """simple docstring"""







 UpperCAmelCase__							 =						[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 						lowerCAmelCase		(		):




 """simple docstring"""







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




 """simple docstring"""







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











import json
from typing import Dict, List, Optional, Tuple, Union

from tokenizers import pre_tokenizers, processors

from ...tokenization_utils_base import AddedToken, BatchEncoding, EncodedInput
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import PaddingStrategy, logging
from .tokenization_led import LEDTokenizer


_lowerCAmelCase						:   Tuple		=   logging.get_logger(__name__)


_lowerCAmelCase						:   Union[str, Any]		=   {"vocab_file": "vocab.json", "merges_file": "merges.txt", "tokenizer_file": "tokenizer.json"}

_lowerCAmelCase						:   str		=   {
    "vocab_file": {
        "allenai/led-base-16384": "https://huggingface.co/allenai/led-base-16384/resolve/main/vocab.json",
    },
    "merges_file": {
        "allenai/led-base-16384": "https://huggingface.co/allenai/led-base-16384/resolve/main/merges.txt",
    },
    "tokenizer_file": {
        "allenai/led-base-16384": "https://huggingface.co/allenai/led-base-16384/resolve/main/tokenizer.json",
    },
}

_lowerCAmelCase						:   List[Any]		=   {
    "allenai/led-base-16384": 1_6_3_8_4,
}
class 			_UpperCamelCase      (				lowerCAmelCase		):
      UpperCAmelCase_        =		VOCAB_FILES_NAMES
      UpperCAmelCase_        =		PRETRAINED_VOCAB_FILES_MAP
      UpperCAmelCase_        =		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      UpperCAmelCase_        =		LEDTokenizer
      UpperCAmelCase_        =		["""input_ids""", """attention_mask"""]
      def __init__(			self   :Dict ,      lowerCamelCase   :Any=None ,      lowerCamelCase   :Dict=None ,      lowerCamelCase   :Dict=None ,      lowerCamelCase   :int="replace" ,      lowerCamelCase   :List[Any]="<s>" ,      lowerCamelCase   :Optional[Any]="</s>" ,      lowerCamelCase   :Optional[Any]="</s>" ,      lowerCamelCase   :int="<s>" ,      lowerCamelCase   :Optional[Any]="<unk>" ,      lowerCamelCase   :Dict="<pad>" ,      lowerCamelCase   :Tuple="<mask>" ,      lowerCamelCase   :str=False ,      lowerCamelCase   :Union[str, Any]=True ,      **lowerCamelCase   :List[str] ,      )     ->			Tuple:
       super().__init__(
           lowerCamelCase ,      lowerCamelCase ,      tokenizer_file=lowerCamelCase ,      errors=lowerCamelCase ,      bos_token=lowerCamelCase ,      eos_token=lowerCamelCase ,      sep_token=lowerCamelCase ,      cls_token=lowerCamelCase ,      unk_token=lowerCamelCase ,      pad_token=lowerCamelCase ,      mask_token=lowerCamelCase ,      add_prefix_space=lowerCamelCase ,      trim_offsets=lowerCamelCase ,      **lowerCamelCase ,      )

       UpperCAmelCase__							 =						json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()      )
       if pre_tok_state.get("add_prefix_space" ,      lowerCamelCase      ) != add_prefix_space:
        UpperCAmelCase__							 =						getattr(lowerCamelCase ,      pre_tok_state.pop("type"      )      )
        UpperCAmelCase__							 =						add_prefix_space
        UpperCAmelCase__							 =						pre_tok_class(**lowerCamelCase      )

       UpperCAmelCase__							 =						add_prefix_space

       # the pre_tokenizer is already updated in the GPT2TokenizerFast `__init__`
       UpperCAmelCase__							 =						"post_processor"
       UpperCAmelCase__							 =						getattr(self.backend_tokenizer ,      lowerCamelCase ,      lowerCamelCase      )
       if tokenizer_component_instance:
        UpperCAmelCase__							 =						json.loads(tokenizer_component_instance.__getstate__()      )

        # The lists 'sep' and 'cls' must be cased in tuples for the object `post_processor_class`
        if "sep" in state:
         UpperCAmelCase__							 =						tuple(state["sep"]      )
        if "cls" in state:
         UpperCAmelCase__							 =						tuple(state["cls"]      )

        UpperCAmelCase__							 =						False

        if state.get("add_prefix_space" ,      lowerCamelCase      ) != add_prefix_space:
         UpperCAmelCase__							 =						add_prefix_space
         UpperCAmelCase__							 =						True

        if state.get("trim_offsets" ,      lowerCamelCase      ) != trim_offsets:
         UpperCAmelCase__							 =						trim_offsets
         UpperCAmelCase__							 =						True

        if changes_to_apply:
         UpperCAmelCase__							 =						getattr(lowerCamelCase ,      state.pop("type"      )      )
         UpperCAmelCase__							 =						component_class(**lowerCamelCase      )
         setattr(self.backend_tokenizer ,      lowerCamelCase ,      lowerCamelCase      )
      @property
      # Copied from transformers.models.bart.tokenization_bart_fast.BartTokenizerFast.mask_token with BART->LED
      def 	UpperCAmelCase_						(			self   :List[str]      )     ->			str:
       if self._mask_token is None:
        if self.verbose:
         logger.error("Using mask_token, but it is not set yet."      )
        return None
       return str(self._mask_token      )
      @mask_token.setter
      def 	UpperCAmelCase_						(			self   :Union[str, Any] ,      lowerCamelCase   :List[str]      )     ->			Dict:
       UpperCAmelCase__							 =						AddedToken(lowerCamelCase ,      lstrip=lowerCamelCase ,      rstrip=lowerCamelCase      ) if isinstance(lowerCamelCase ,      lowerCamelCase      ) else value
       UpperCAmelCase__							 =						value
      def 	UpperCAmelCase_						(			self   :Optional[Any] ,      *lowerCamelCase   :Any ,      **lowerCamelCase   :int      )     ->			BatchEncoding:
       UpperCAmelCase__							 =						kwargs.get("is_split_into_words" ,      lowerCamelCase      )

       if is_split_into_words and not self.add_prefix_space:
        raise ValueError(
            f'''You need to instantiate {self.__class__.__name__} with add_prefix_space=True '''
            "to use it with pretokenized inputs."      )

       return super()._batch_encode_plus(*lowerCamelCase ,      **lowerCamelCase      )
      def 	UpperCAmelCase_						(			self   :int ,      *lowerCamelCase   :Optional[Any] ,      **lowerCamelCase   :Optional[int]      )     ->			BatchEncoding:
       UpperCAmelCase__							 =						kwargs.get("is_split_into_words" ,      lowerCamelCase      )

       if is_split_into_words and not self.add_prefix_space:
        raise ValueError(
            f'''You need to instantiate {self.__class__.__name__} with add_prefix_space=True '''
            "to use it with pretokenized inputs."      )

       return super()._encode_plus(*lowerCamelCase ,      **lowerCamelCase      )
      def 	UpperCAmelCase_						(			self   :Any ,      lowerCamelCase   :str ,      lowerCamelCase   :Optional[str] = None      )     ->			Tuple[str]:
       UpperCAmelCase__							 =						self._tokenizer.model.save(lowerCamelCase ,      name=lowerCamelCase      )
       return tuple(lowerCamelCase      )
      def 	UpperCAmelCase_						(			self   :Optional[Any] ,      lowerCamelCase   :Optional[int] ,      lowerCamelCase   :Optional[Any]=None      )     ->			Dict:
       UpperCAmelCase__							 =						[self.bos_token_id] + token_ids_a + [self.eos_token_id]
       if token_ids_a is None:
        return output

       return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]
      def 	UpperCAmelCase_						(			self   :Optional[int] ,      lowerCamelCase   :List[int] ,      lowerCamelCase   :Optional[List[int]] = None      )     ->			List[int]:
       UpperCAmelCase__							 =						[self.sep_token_id]
       UpperCAmelCase__							 =						[self.cls_token_id]

       if token_ids_a is None:
        return len(cls + token_ids_a + sep      ) * [0]
       return len(cls + token_ids_a + sep + sep + token_ids_a + sep      ) * [0]







      def 	UpperCAmelCase_						(			self   :List[str] ,      lowerCamelCase   :Union[Dict[str, EncodedInput], BatchEncoding] ,      lowerCamelCase   :Optional[int] = None ,      lowerCamelCase   :PaddingStrategy = PaddingStrategy.DO_NOT_PAD ,      lowerCamelCase   :Optional[int] = None ,      lowerCamelCase   :Optional[bool] = None ,      )     ->			dict:
       UpperCAmelCase__							 =						super()._pad(
           encoded_inputs=lowerCamelCase ,      max_length=lowerCamelCase ,      padding_strategy=lowerCamelCase ,      pad_to_multiple_of=lowerCamelCase ,      return_attention_mask=lowerCamelCase ,      )

       # Load from model defaults
       if return_attention_mask is None:
        UpperCAmelCase__							 =						"attention_mask" in self.model_input_names

       if return_attention_mask and "global_attention_mask" in encoded_inputs:
        UpperCAmelCase__							 =						encoded_inputs[self.model_input_names[0]]
        # `global_attention_mask` need to have the same length as other (sequential) inputs.
        UpperCAmelCase__							 =						len(encoded_inputs["global_attention_mask"]      ) != len(lowerCamelCase      )

        if needs_to_be_padded:
         UpperCAmelCase__							 =						len(lowerCamelCase      ) - len(encoded_inputs["global_attention_mask"]      )

         if self.padding_side == "right":
          # Use `-1` since `0` in `global_attention_mask` means `local attention` instead of `not to attend`
          UpperCAmelCase__							 =						(
              encoded_inputs["global_attention_mask"] + [-1] * difference
          )
         elif self.padding_side == "left":
          UpperCAmelCase__							 =						[-1] * difference + encoded_inputs[
              "global_attention_mask"
          ]
         else:
          raise ValueError("Invalid padding strategy:" + str(self.padding_side      )      )

       return encoded_inputs





