


"""simple docstring"""
import json
import os
import re
import warnings
from pathlib import Path
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple, Union

import sentencepiece

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


SCREAMING_SNAKE_CASE					:       Tuple							   =							logging.get_logger(__name__)

SCREAMING_SNAKE_CASE					:       List[str]							   =							{
    """source_spm""": """source.spm""",
    """target_spm""": """target.spm""",
    """vocab""": """vocab.json""",
    """target_vocab_file""": """target_vocab.json""",
    """tokenizer_config_file""": """tokenizer_config.json""",
}

SCREAMING_SNAKE_CASE					:       Tuple							   =							{
    """source_spm""": {
        """Helsinki-NLP/opus-mt-en-de""": """https://huggingface.co/Helsinki-NLP/opus-mt-en-de/resolve/main/source.spm"""
    },
    """target_spm""": {
        """Helsinki-NLP/opus-mt-en-de""": """https://huggingface.co/Helsinki-NLP/opus-mt-en-de/resolve/main/target.spm"""
    },
    """vocab""": {
        """Helsinki-NLP/opus-mt-en-de""": """https://huggingface.co/Helsinki-NLP/opus-mt-en-de/resolve/main/vocab.json"""
    },
    """tokenizer_config_file""": {
        """Helsinki-NLP/opus-mt-en-de""": (
            """https://huggingface.co/Helsinki-NLP/opus-mt-en-de/resolve/main/tokenizer_config.json"""
        )
    },
}

SCREAMING_SNAKE_CASE					:       Optional[int]							   =							{"""Helsinki-NLP/opus-mt-en-de""": 512}
SCREAMING_SNAKE_CASE					:       Optional[int]							   =							{}



class      _UpperCAmelCase					(				__snake_case							):






		'''simple docstring'''

		lowerCamelCase__           =VOCAB_FILES_NAMES
		lowerCamelCase__           =PRETRAINED_VOCAB_FILES_MAP
		lowerCamelCase__           =PRETRAINED_INIT_CONFIGURATION
		lowerCamelCase__           =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		lowerCamelCase__           =['input_ids', 'attention_mask']
		lowerCamelCase__           =re.compile('>>.+<<'							)  # type: re.Pattern



		def __init__(self							,			a_							,			a_							,			a_							,			a_=None							,			a_=None							,			a_=None							,			a_="<unk>"							,			a_="</s>"							,			a_="<pad>"							,			a_=5_12							,			a_ = None							,			a_=False							,			**a_							,			):





			'''simple docstring'''

			__snake_case      :		Tuple         =							{} if sp_model_kwargs is None else sp_model_kwargs

			super().__init__(
			    # bos_token=bos_token,  unused. Start decoding with config.decoder_start_token_id
			    source_lang=a_							,			target_lang=a_							,			unk_token=a_							,			eos_token=a_							,			pad_token=a_							,			model_max_length=a_							,			sp_model_kwargs=self.sp_model_kwargs							,			target_vocab_file=a_							,			separate_vocabs=a_							,			**a_							,			)
			assert Path(a_   ).exists(), f"""cannot find spm source {source_spm}"""

			__snake_case      :		Any         =							separate_vocabs
			__snake_case      :		List[str]         =							load_json(a_   )
			if self.unk_token not in self.encoder:
				raise KeyError('''<unk> token must be in vocab'''   )
			assert self.pad_token in self.encoder

			if separate_vocabs:
				__snake_case      :		List[Any]         =							load_json(a_   )
				__snake_case      :		Optional[Any]         =							{v: k for k, v in self.target_encoder.items()}
				__snake_case      :		List[str]         =							[]
			else:
				__snake_case      :		str         =							{v: k for k, v in self.encoder.items()}
				__snake_case      :		list         =							[k for k in self.encoder if k.startswith('''>>'''   ) and k.endswith('''<<'''   )]

			__snake_case      :		int         =							source_lang
			__snake_case      :		int         =							target_lang
			__snake_case      :		List[str]         =							[source_spm, target_spm]

			# load SentencePiece model for pre-processing
			__snake_case      :		Any         =							load_spm(a_							,			self.sp_model_kwargs   )
			__snake_case      :		Union[str, Any]         =							load_spm(a_							,			self.sp_model_kwargs   )
			__snake_case      :		List[str]         =							self.spm_source
			__snake_case      :		Dict         =							self.encoder

			# Multilingual target side: default to using first supported language code.

			self._setup_normalizer()



		def 							SCREAMING_SNAKE_CASE    (self   ):





			'''simple docstring'''

			try:
				from sacremoses import MosesPunctNormalizer

				__snake_case      :		Dict         =							MosesPunctNormalizer(self.source_lang   ).normalize
			except (ImportError, FileNotFoundError):
				warnings.warn('''Recommended: pip install sacremoses.'''   )
				__snake_case      :		Dict         =							lambda a_   : x



		def 							SCREAMING_SNAKE_CASE    (self							,			a_   ):





			'''simple docstring'''

			return self.punc_normalizer(a_   ) if x else ""



		def 							SCREAMING_SNAKE_CASE    (self							,			a_   ):





			'''simple docstring'''

			return self.current_encoder.get(a_							,			self.current_encoder[self.unk_token]   )



		def 							SCREAMING_SNAKE_CASE    (self							,			a_   ):





			'''simple docstring'''

			__snake_case      :		List[str]         =							self.language_code_re.match(a_   )
			__snake_case      :		list         =							[match.group(0   )] if match else []
			return code, self.language_code_re.sub(''''''							,			a_   )



		def 							SCREAMING_SNAKE_CASE    (self							,			a_   ):





			'''simple docstring'''

			__snake_case      ,				__snake_case      :		List[str]         =							self.remove_language_code(a_   )
			__snake_case      :		int         =							self.current_spm.encode(a_							,			out_type=a_   )
			return code + pieces



		def 							SCREAMING_SNAKE_CASE    (self							,			a_   ):





			'''simple docstring'''

			return self.decoder.get(a_							,			self.unk_token   )



		def 							SCREAMING_SNAKE_CASE    (self							,			a_							,			**a_   ):





			'''simple docstring'''

			return super().batch_decode(a_							,			**a_   )



		def 							SCREAMING_SNAKE_CASE    (self							,			a_							,			**a_   ):





			'''simple docstring'''

			return super().decode(a_							,			**a_   )



		def 							SCREAMING_SNAKE_CASE    (self							,			a_   ):





			'''simple docstring'''

			__snake_case      :		Optional[int]         =							self.spm_source if self._decode_use_source_tokenizer else self.spm_target
			__snake_case      :		List[str]         =							[]
			__snake_case      :		Optional[int]         =							''''''
			for token in tokens:
				# make sure that special tokens are not decoded using sentencepiece model
				if token in self.all_special_tokens:
					out_string += sp_model.decode_pieces(a_   ) + token + " "
					__snake_case      :		Dict         =							[]
				else:
					current_sub_tokens.append(a_   )
			out_string += sp_model.decode_pieces(a_   )
			return out_string.strip()



		def 							SCREAMING_SNAKE_CASE    (self							,			a_							,			a_=None   ):





			'''simple docstring'''

			if token_ids_a is None:
				return token_ids_a + [self.eos_token_id]
			# We don't expect to process pairs, but leave the pair logic for API consistency
			return token_ids_a + token_ids_a + [self.eos_token_id]



		def 							SCREAMING_SNAKE_CASE    (self   ):





			'''simple docstring'''

			__snake_case      :		Tuple         =							self.spm_source
			__snake_case      :		Optional[Any]         =							self.encoder



		def 							SCREAMING_SNAKE_CASE    (self   ):





			'''simple docstring'''

			__snake_case      :		Tuple         =							self.spm_target
			if self.separate_vocabs:
				__snake_case      :		Dict         =							self.target_encoder



		@property
		def 							SCREAMING_SNAKE_CASE    (self   ):





			'''simple docstring'''

			return len(self.encoder   )



		def 							SCREAMING_SNAKE_CASE    (self							,			a_							,			a_ = None   ):





			'''simple docstring'''

			if not os.path.isdir(a_   ):
				logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""   )
				return
			__snake_case      :		int         =							[]

			if self.separate_vocabs:
				__snake_case      :		List[str]         =							os.path.join(
				    a_							,			(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab''']							,			)
				__snake_case      :		Tuple         =							os.path.join(
				    a_							,			(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''target_vocab_file''']							,			)
				save_json(self.encoder							,			a_   )
				save_json(self.target_encoder							,			a_   )
				saved_files.append(a_   )
				saved_files.append(a_   )
			else:
				__snake_case      :		List[Any]         =							os.path.join(
				    a_							,			(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab''']   )
				save_json(self.encoder							,			a_   )
				saved_files.append(a_   )

			for spm_save_filename, spm_orig_path, spm_model in zip(
			    [VOCAB_FILES_NAMES['''source_spm'''], VOCAB_FILES_NAMES['''target_spm''']]							,			self.spm_files							,			[self.spm_source, self.spm_target]							,			):
				__snake_case      :		Any         =							os.path.join(
				    a_							,			(filename_prefix + '''-''' if filename_prefix else '''''') + spm_save_filename   )
				if os.path.abspath(a_   ) != os.path.abspath(a_   ) and os.path.isfile(a_   ):
					copyfile(a_							,			a_   )
					saved_files.append(a_   )
				elif not os.path.isfile(a_   ):
					with open(a_							,			'''wb'''   ) as fi:
						__snake_case      :		Optional[Any]         =							spm_model.serialized_model_proto()
						fi.write(a_   )
					saved_files.append(a_   )

			return tuple(a_   )



		def 							SCREAMING_SNAKE_CASE    (self   ):





			'''simple docstring'''

			return self.get_src_vocab()



		def 							SCREAMING_SNAKE_CASE    (self   ):





			'''simple docstring'''

			return dict(self.encoder							,			**self.added_tokens_encoder   )



		def 							SCREAMING_SNAKE_CASE    (self   ):





			'''simple docstring'''

			return dict(self.target_encoder							,			**self.added_tokens_decoder   )



		def __getstate__(self   ):





			'''simple docstring'''

			__snake_case      :		Any         =							self.__dict__.copy()
			state.update(
			    {k: None for k in ['''spm_source''', '''spm_target''', '''current_spm''', '''punc_normalizer''', '''target_vocab_file''']}   )
			return state



		def __setstate__(self							,			a_   ):





			'''simple docstring'''

			__snake_case      :		Dict         =							d

			# for backward compatibility
			if not hasattr(self							,			'''sp_model_kwargs'''   ):
				__snake_case      :		Tuple         =							{}

			__snake_case      ,				__snake_case      :		int         =							(load_spm(a_							,			self.sp_model_kwargs   ) for f in self.spm_files)
			__snake_case      :		str         =							self.spm_source
			self._setup_normalizer()



		def 							SCREAMING_SNAKE_CASE    (self							,			*a_							,			**a_   ):





			'''simple docstring'''

			return 1



		def 							SCREAMING_SNAKE_CASE    (self							,			a_   ):





			'''simple docstring'''

			__snake_case      :		Optional[int]         =							set(self.all_special_ids   )  # call it once instead of inside list comp
			all_special_ids.remove(self.unk_token_id   )  # <unk> is only sometimes special
			return [1 if x in all_special_ids else 0 for x in seq]



		def 							SCREAMING_SNAKE_CASE    (self							,			a_							,			a_ = None							,			a_ = False   ):





			'''simple docstring'''

			if already_has_special_tokens:
				return self._special_token_mask(a_   )
			elif token_ids_a is None:
				return self._special_token_mask(a_   ) + [1]
			else:
				return self._special_token_mask(token_ids_a + token_ids_a   ) + [1]






def 						lowercase				(	_snake_case		: str	,  _snake_case		: Dict[str, Any]	)	->sentencepiece.SentencePieceProcessor:
	"""simple docstring"""





	__snake_case      :		Union[str, Any]         =							sentencepiece.SentencePieceProcessor(**_snake_case	)
	spm.Load(_snake_case	)
	return spm






def 						lowercase				(	_snake_case		: Union[str, Any]	,  _snake_case		: str	)	->None:
	"""simple docstring"""





	with open(_snake_case	,  '''w'''	) as f:
		json.dump(_snake_case	,  _snake_case	,  indent=2	)






def 						lowercase				(	_snake_case		: str	)	->Union[Dict, List]:
	"""simple docstring"""





	with open(_snake_case	,  '''r'''	) as f:
		return json.load(_snake_case	)







'''simple docstring'''
from __future__ import annotations

import os






class  UpperCAmelCase_					:
 UpperCAmelCase_		     =    (
     """High card""",
     """One pair""",
     """Two pairs""",
     """Three of a kind""",
     """Straight""",
     """Flush""",
     """Full house""",
     """Four of a kind""",
     """Straight flush""",
     """Royal flush""",
 )

 UpperCAmelCase_		     =    (
     """""",  # placeholder as tuples are zero-indexed
     """One""",
     """Two""",
     """Three""",
     """Four""",
     """Five""",
     """Six""",
     """Seven""",
     """Eight""",
     """Nine""",
     """Ten""",
     """Jack""",
     """Queen""",
     """King""",
     """Ace""",
 )





 def __init__(     self			,							lowercase_):
     if not isinstance(lowercase_			,							lowercase_):
         snake_case_			:     Union[str, Any]        =    F'Hand should be of type \'str\': {hand!r}'
         raise TypeError(lowercase_)
     # split removes duplicate whitespaces so no need of strip
     if len(hand.split(" ")) != 5:
         snake_case_			:     Optional[int]        =    F'Hand should contain only 5 cards: {hand!r}'
         raise ValueError(lowercase_)
     snake_case_			:     str        =    hand
     snake_case_			:     str        =    0
     snake_case_			:     List[str]        =    0
     snake_case_      ,			snake_case_			:     Union[str, Any]        =    self._internal_state()
     snake_case_			:     List[Any]        =    self._get_hand_type()
     snake_case_			:     Optional[int]        =    self._card_values[0]





 @property
 def 							snake_case__		(     self):
     return self._hand





 def 							snake_case__		(     self			,							lowercase_):
     # Breaking the tie works on the following order of precedence:
     # 1. First pair (default 0)
     # 2. Second pair (default 0)
     # 3. Compare all cards in reverse order because they are sorted.

     # First pair and second pair will only be a non-zero value if the card
     # type is either from the following:
     # 21: Four of a kind
     # 20: Full house
     # 17: Three of a kind
     # 16: Two pairs
     # 15: One pair
     if self._hand_type > other._hand_type:
         return "Win"
     elif self._hand_type < other._hand_type:
         return "Loss"
     elif self._first_pair == other._first_pair:
         if self._second_pair == other._second_pair:
             return self._compare_cards(lowercase_)
         else:
             return "Win" if self._second_pair > other._second_pair else "Loss"
     return "Win" if self._first_pair > other._first_pair else "Loss"





 def 							snake_case__		(     self):
     snake_case_			:     Tuple        =    PokerHand._HAND_NAME[self._hand_type - 14]
     snake_case_			:     List[Any]        =    PokerHand._CARD_NAME[self._high_card]
     snake_case_			:     Any        =    PokerHand._CARD_NAME[self._first_pair]
     snake_case_			:     str        =    PokerHand._CARD_NAME[self._second_pair]
     if self._hand_type in [22, 19, 18]:
         return name + F', {high}-high'
     elif self._hand_type in [21, 17, 15]:
         return name + F', {paira}s'
     elif self._hand_type in [20, 16]:
         snake_case_			:     List[str]        =    "over" if self._hand_type == 20 else "and"
         return name + F', {paira}s {join} {paira}s'
     elif self._hand_type == 23:
         return name
     else:
         return name + F', {high}'





 def 							snake_case__		(     self			,							lowercase_):
     # Enumerate gives us the index as well as the element of a list
     for index, card_value in enumerate(self._card_values):
         if card_value != other._card_values[index]:
             return "Win" if card_value > other._card_values[index] else "Loss"
     return "Tie"





 def 							snake_case__		(     self):
     # Number representing the type of hand internally:
     # 23: Royal flush
     # 22: Straight flush
     # 21: Four of a kind
     # 20: Full house
     # 19: Flush
     # 18: Straight
     # 17: Three of a kind
     # 16: Two pairs
     # 15: One pair
     # 14: High card
     if self._is_flush():
         if self._is_five_high_straight() or self._is_straight():
             return 23 if sum(self._card_values) == 60 else 22
         return 19
     elif self._is_five_high_straight() or self._is_straight():
         return 18
     return 14 + self._is_same_kind()





 def 							snake_case__		(     self):
     return len(self._card_suit) == 1





 def 							snake_case__		(     self):
     # If a card is a five high straight (low ace) change the location of
     # ace from the start of the list to the end. Check whether the first
     # element is ace or not. (Don't want to change again)
     # Five high straight (low ace): AH 2H 3S 4C 5D
     # Why use sorted here? One call to this function will mutate the list to
     # [5, 4, 3, 2, 14] and so for subsequent calls (which will be rare) we
     # need to compare the sorted version.
     # Refer test_multiple_calls_five_high_straight in test_poker_hand.py
     if sorted(self._card_values) == [2, 3, 4, 5, 14]:
         if self._card_values[0] == 14:
             # Remember, our list is sorted in reverse order
             snake_case_			:     Optional[int]        =    self._card_values.pop(0)
             self._card_values.append(lowercase_)
         return True
     return False





 def 							snake_case__		(     self):
     for i in range(4):
         if self._card_values[i] - self._card_values[i + 1] != 1:
             return False
     return True





 def 							snake_case__		(     self):
     # Kind Values for internal use:
     # 7: Four of a kind
     # 6: Full house
     # 3: Three of a kind
     # 2: Two pairs
     # 1: One pair
     # 0: False
     snake_case_			:     Dict        =    0
     for i in range(4):
         # Compare two cards at a time, if they are same increase 'kind',
         # add the value of the card to val1, if it is repeating again we
         # will add 2 to 'kind' as there are now 3 cards with same value.
         # If we get card of different value than val1, we will do the same
         # thing with val2
         if self._card_values[i] == self._card_values[i + 1]:
             if not vala:
                 snake_case_			:     Tuple        =    self._card_values[i]
                 kind += 1
             elif vala == self._card_values[i]:
                 kind += 2
             elif not vala:
                 snake_case_			:     Optional[int]        =    self._card_values[i]
                 kind += 1
             elif vala == self._card_values[i]:
                 kind += 2
        # For consistency in hand type (look at note in _get_hand_type function)
     snake_case_			:     Dict        =    kind + 2 if kind in [4, 5] else kind
     # first meaning first pair to compare in 'compare_with'
     snake_case_			:     Union[str, Any]        =    max(lowercase_			,							lowercase_)
     snake_case_			:     Optional[Any]        =    min(lowercase_			,							lowercase_)
     # If it's full house (three count pair + two count pair), make sure
     # first pair is three count and if not then switch them both.
     if kind == 6 and self._card_values.count(lowercase_) != 3:
         snake_case_      ,			snake_case_			:     Dict        =    second, first
     snake_case_			:     Optional[int]        =    first
     snake_case_			:     Dict        =    second
     return kind





 def 							snake_case__		(     self):
     # Internal representation of hand as a list of card values and
     # a set of card suit
     snake_case_			:     dict        =    {"T": "10", "J": "11", "Q": "12", "K": "13", "A": "14"}
     snake_case_			:     Tuple        =    self._hand.translate(str.maketrans(lowercase_)).split()
     snake_case_			:     Dict        =    [int(card[:-1]) for card in new_hand]
     snake_case_			:     Tuple        =    {card[-1] for card in new_hand}
     return sorted(lowercase_			,							reverse=lowercase_), card_suit





 def __repr__(     self):
     return F'{self.__class__}("{self._hand}")'





 def __str__(     self):
     return self._hand





 def __eq__(     self			,							lowercase_):
     if isinstance(lowercase_			,							lowercase_):
         return self.compare_with(lowercase_) == "Tie"
     return NotImplemented





 def __lt__(     self			,							lowercase_):
     if isinstance(lowercase_			,							lowercase_):
         return self.compare_with(lowercase_) == "Loss"
     return NotImplemented





 def __le__(     self			,							lowercase_):
     if isinstance(lowercase_			,							lowercase_):
         return self < other or self == other
     return NotImplemented





 def __gt__(     self			,							lowercase_):
     if isinstance(lowercase_			,							lowercase_):
         return not self < other and self != other
     return NotImplemented





 def __ge__(     self			,							lowercase_):
     if isinstance(lowercase_			,							lowercase_):
         return not self < other
     return NotImplemented





 def __hash__(     self):
     return object.__hash__(self)


def     UpperCamelCase_  (						):
    """simple docstring"""






    snake_case_			:     Dict        =    0
    snake_case_			:     Tuple        =    os.path.abspath(os.path.dirname(__SCREAMING_SNAKE_CASE							)							)
    snake_case_			:     List[Any]        =    os.path.join(__SCREAMING_SNAKE_CASE,		"poker_hands.txt"							)
    with open(__SCREAMING_SNAKE_CASE							) as file_hand:
        for line in file_hand:
            snake_case_			:     int        =    line[:1_4].strip()
            snake_case_			:     Optional[Any]        =    line[1_5:].strip()
            snake_case_      ,			snake_case_			:     Union[str, Any]        =    PokerHand(__SCREAMING_SNAKE_CASE							), PokerHand(__SCREAMING_SNAKE_CASE							)
            snake_case_			:     Optional[int]        =    player.compare_with(__SCREAMING_SNAKE_CASE							)
            if output == "Win":
                answer += 1
    return answer


if __name__ == "__main__":
  solution()




