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


lowerCAmelCase__  	=      logging.get_logger(__name__)

lowerCAmelCase__  	=      {
    "source_spm": "source.spm",
    "target_spm": "target.spm",
    "vocab": "vocab.json",
    "target_vocab_file": "target_vocab.json",
    "tokenizer_config_file": "tokenizer_config.json",
}

lowerCAmelCase__  	=      {
    "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"
        )
    },
}

lowerCAmelCase__  	=      {"Helsinki-NLP/opus-mt-en-de": 5_1_2}
lowerCAmelCase__  	=      {}
class 	_a  (							lowerCamelCase_					):



	"""simple docstring"""



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


	def __init__(   self       ,  lowerCAmelCase_       ,  lowerCAmelCase_       ,  lowerCAmelCase_       ,  lowerCAmelCase_=None       ,  lowerCAmelCase_=None       ,  lowerCAmelCase_=None       ,  lowerCAmelCase_="<unk>"       ,  lowerCAmelCase_="</s>"       ,  lowerCAmelCase_="<pad>"       ,  lowerCAmelCase_=512       ,  lowerCAmelCase_ = None       ,  lowerCAmelCase_=False       ,  **lowerCAmelCase_       ,  ):
		_lowercase   ={} 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=lowerCAmelCase_       ,  target_lang=lowerCAmelCase_       ,  unk_token=lowerCAmelCase_       ,  eos_token=lowerCAmelCase_       ,  pad_token=lowerCAmelCase_       ,  model_max_length=lowerCAmelCase_       ,  sp_model_kwargs=self.sp_model_kwargs       ,  target_vocab_file=lowerCAmelCase_       ,  separate_vocabs=lowerCAmelCase_       ,  **lowerCAmelCase_       ,  )
		assert Path(lowerCAmelCase_       ).exists(), F'''cannot find spm source {source_spm}'''

		_lowercase   =separate_vocabs
		_lowercase   =load_json(lowerCAmelCase_       )
		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:
			_lowercase   =load_json(lowerCAmelCase_       )
			_lowercase   ={v: k for k, v in self.target_encoder.items()}
			_lowercase   =[]
		else:
			_lowercase   ={v: k for k, v in self.encoder.items()}
			_lowercase   =[k for k in self.encoder if k.startswith(">>"       ) and k.endswith("<<"       )]

		_lowercase   =source_lang
		_lowercase   =target_lang
		_lowercase   =[source_spm, target_spm]

		# load SentencePiece model for pre-processing
		_lowercase   =load_spm(lowerCAmelCase_       ,  self.sp_model_kwargs       )
		_lowercase   =load_spm(lowerCAmelCase_       ,  self.sp_model_kwargs       )
		_lowercase   =self.spm_source
		_lowercase   =self.encoder

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

		self._setup_normalizer()


	def __lowerCAmelCase      (   self       ):
		try:
			from sacremoses import MosesPunctNormalizer

			_lowercase   =MosesPunctNormalizer(self.source_lang       ).normalize
		except (ImportError, FileNotFoundError):
			warnings.warn("Recommended: pip install sacremoses."       )
			_lowercase   =lambda lowerCAmelCase_       : x


	def __lowerCAmelCase      (   self       ,  lowerCAmelCase_       ):
		return self.punc_normalizer(lowerCAmelCase_       ) if x else ""


	def __lowerCAmelCase      (   self       ,  lowerCAmelCase_       ):
		return self.current_encoder.get(lowerCAmelCase_       ,  self.current_encoder[self.unk_token]       )


	def __lowerCAmelCase      (   self       ,  lowerCAmelCase_       ):
		_lowercase   =self.language_code_re.match(lowerCAmelCase_       )
		_lowercase   =[match.group(0       )] if match else []
		return code, self.language_code_re.sub(""       ,  lowerCAmelCase_       )


	def __lowerCAmelCase      (   self       ,  lowerCAmelCase_       ):
		_lowercase   ,  _lowercase   =self.remove_language_code(lowerCAmelCase_       )
		_lowercase   =self.current_spm.encode(lowerCAmelCase_       ,  out_type=lowerCAmelCase_       )
		return code + pieces


	def __lowerCAmelCase      (   self       ,  lowerCAmelCase_       ):
		return self.decoder.get(lowerCAmelCase_       ,  self.unk_token       )


	def __lowerCAmelCase      (   self       ,  lowerCAmelCase_       ,  **lowerCAmelCase_       ):
		return super().batch_decode(lowerCAmelCase_       ,  **lowerCAmelCase_       )


	def __lowerCAmelCase      (   self       ,  lowerCAmelCase_       ,  **lowerCAmelCase_       ):
		return super().decode(lowerCAmelCase_       ,  **lowerCAmelCase_       )


	def __lowerCAmelCase      (   self       ,  lowerCAmelCase_       ):
		_lowercase   =self.spm_source if self._decode_use_source_tokenizer else self.spm_target
		_lowercase   =[]
		_lowercase   =""
		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(lowerCAmelCase_       ) + token + " "
				_lowercase   =[]
			else:
				current_sub_tokens.append(lowerCAmelCase_       )
		out_string += sp_model.decode_pieces(lowerCAmelCase_       )
		return out_string.strip()


	def __lowerCAmelCase      (   self       ,  lowerCAmelCase_       ,  lowerCAmelCase_=None       ):
		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 __lowerCAmelCase      (   self       ):
		_lowercase   =self.spm_source
		_lowercase   =self.encoder


	def __lowerCAmelCase      (   self       ):
		_lowercase   =self.spm_target
		if self.separate_vocabs:
			_lowercase   =self.target_encoder


	@property
	def __lowerCAmelCase      (   self       ):
		return len(self.encoder       )


	def __lowerCAmelCase      (   self       ,  lowerCAmelCase_       ,  lowerCAmelCase_ = None       ):
		if not os.path.isdir(lowerCAmelCase_       ):
			logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''       )
			return
		_lowercase   =[]

		if self.separate_vocabs:
			_lowercase   =os.path.join(
			    lowerCAmelCase_       ,  (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab"]       ,  )
			_lowercase   =os.path.join(
			    lowerCAmelCase_       ,  (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["target_vocab_file"]       ,  )
			save_json(self.encoder       ,  lowerCAmelCase_       )
			save_json(self.target_encoder       ,  lowerCAmelCase_       )
			saved_files.append(lowerCAmelCase_       )
			saved_files.append(lowerCAmelCase_       )
		else:
			_lowercase   =os.path.join(
			    lowerCAmelCase_       ,  (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab"]       )
			save_json(self.encoder       ,  lowerCAmelCase_       )
			saved_files.append(lowerCAmelCase_       )

		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]       ,  ):
			_lowercase   =os.path.join(
			    lowerCAmelCase_       ,  (filename_prefix + "-" if filename_prefix else "") + spm_save_filename       )
			if os.path.abspath(lowerCAmelCase_       ) != os.path.abspath(lowerCAmelCase_       ) and os.path.isfile(lowerCAmelCase_       ):
				copyfile(lowerCAmelCase_       ,  lowerCAmelCase_       )
				saved_files.append(lowerCAmelCase_       )
			elif not os.path.isfile(lowerCAmelCase_       ):
				with open(lowerCAmelCase_       ,  "wb"       ) as fi:
					_lowercase   =spm_model.serialized_model_proto()
					fi.write(lowerCAmelCase_       )
				saved_files.append(lowerCAmelCase_       )

		return tuple(lowerCAmelCase_       )


	def __lowerCAmelCase      (   self       ):
		return self.get_src_vocab()


	def __lowerCAmelCase      (   self       ):
		return dict(self.encoder       ,  **self.added_tokens_encoder       )


	def __lowerCAmelCase      (   self       ):
		return dict(self.target_encoder       ,  **self.added_tokens_decoder       )


	def __getstate__(   self       ):
		_lowercase   =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       ,  lowerCAmelCase_       ):
		_lowercase   =d

		# for backward compatibility
		if not hasattr(self       ,  "sp_model_kwargs"       ):
			_lowercase   ={}

		_lowercase   ,  _lowercase   =(load_spm(lowerCAmelCase_       ,  self.sp_model_kwargs       ) for f in self.spm_files)
		_lowercase   =self.spm_source
		self._setup_normalizer()


	def __lowerCAmelCase      (   self       ,  *lowerCAmelCase_       ,  **lowerCAmelCase_       ):
		return 1


	def __lowerCAmelCase      (   self       ,  lowerCAmelCase_       ):
		_lowercase   =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 __lowerCAmelCase      (   self       ,  lowerCAmelCase_       ,  lowerCAmelCase_ = None       ,  lowerCAmelCase_ = False       ):
		if already_has_special_tokens:
			return self._special_token_mask(lowerCAmelCase_       )
		elif token_ids_a is None:
			return self._special_token_mask(lowerCAmelCase_       ) + [1]
		else:
			return self._special_token_mask(token_ids_a + token_ids_a       ) + [1]

def 	__lowerCamelCase							(				__a    : str      ,							__a    : Dict[str, Any]		)      ->       sentencepiece.SentencePieceProcessor:
	_lowercase   =sentencepiece.SentencePieceProcessor(**__a		)
	spm.Load(__a		)
	return spm

def 	__lowerCamelCase							(				__a    : str      ,							__a    : str		)      ->       None:
	with open(__a      ,							"w"		) as f:
		json.dump(__a      ,							__a      ,							indent=2		)

def 	__lowerCamelCase							(				__a    : str		)      ->       Union[Dict, List]:
	with open(__a      ,							"r"		) as f:
		return json.load(__a		)





from __future__ import annotations

import sys
class 	_a  :



	"""simple docstring"""



	def __init__(   self       ,  lowerCAmelCase_       ,  lowerCAmelCase_       ):
		_lowercase   =letter
		_lowercase   =freq
		_lowercase   ={}


	def __repr__(   self       ):
		return F'''{self.letter}:{self.freq}'''

class 	_a  :



	"""simple docstring"""



	def __init__(   self       ,  lowerCAmelCase_       ,  lowerCAmelCase_       ,  lowerCAmelCase_       ):
		_lowercase   =freq
		_lowercase   =left
		_lowercase   =right

def 	__lowerCamelCase							(				__a    : str		)      ->       list[Letter]:
	_lowercase   ={}
	with open(__a		) as f:
		while True:
			_lowercase   =f.read(1		)
			if not c:
				break
			_lowercase   =chars[c] + 1 if c in chars else 1
	return sorted((Letter(__a      ,							__a		) for c, f in chars.items())      ,							key=lambda __a		: x.freq		)

def 	__lowerCamelCase							(				__a    : list[Letter]		)      ->       Letter | TreeNode:
	_lowercase   =letters  # type: ignore
	while len(__a		) > 1:
		_lowercase   =response.pop(0		)
		_lowercase   =response.pop(0		)
		_lowercase   =left.freq + right.freq
		_lowercase   =TreeNode(__a      ,							__a      ,							__a		)
		response.append(__a		)
		response.sort(key=lambda __a		: x.freq		)
	return response[0]

def 	__lowerCamelCase							(				__a    : Letter | TreeNode      ,							__a    : str		)      ->       list[Letter]:
	if isinstance(__a      ,							__a		):
		_lowercase   =bitstring
		return [root]
	_lowercase   =root  # type: ignore
	_lowercase   =[]
	letters += traverse_tree(treenode.left      ,							bitstring + "0"		)
	letters += traverse_tree(treenode.right      ,							bitstring + "1"		)
	return letters

def 	__lowerCamelCase							(				__a    : str		)      ->       None:
	_lowercase   =parse_file(__a		)
	_lowercase   =build_tree(__a		)
	_lowercase   ={
	    k: v for letter in traverse_tree(__a      ,							""		) for k, v in letter.bitstring.items()
	}
	print(f'''Huffman Coding  of {file_path}: '''		)
	with open(__a		) as f:
		while True:
			_lowercase   =f.read(1		)
			if not c:
				break
			print(letters[c]      ,							end=" "		)
	print()


if __name__ == "__main__":
						# pass the file path to the huffman function
						huffman(sys.argv[1])




