






import json
import os
from functools import lru_cache
from typing import TYPE_CHECKING, List, Optional, Tuple, Union

import numpy as np
import regex as re

from ...utils import is_tf_available, is_torch_available, logging


if TYPE_CHECKING:
				if is_torch_available():
								import torch
				if is_tf_available():
								import tensorflow as tf

from ...tokenization_utils import AddedToken, PreTrainedTokenizer


UpperCamelCase__						:      Dict								=					logging.get_logger(__name__)

UpperCamelCase__						:      Dict								=					{
    """vocab_file""": """vocab.json""",
    """merges_file""": """merges.txt""",
}

UpperCamelCase__						:      Tuple								=					{
    """vocab_file""": {
        """Salesforce/codegen-350M-mono""": """https://huggingface.co/Salesforce/codegen-350M-mono/resolve/main/vocab.json""",
    },
    """merges_file""": {
        """Salesforce/codegen-350M-mono""": """https://huggingface.co/Salesforce/codegen-350M-mono/resolve/main/merges.txt""",
    },
}

UpperCamelCase__						:      Any								=					{
    """Salesforce/codegen-350M-mono""": 2_048,
}





@lru_cache()
def   SCREAMING_SNAKE_CASE__						(   )   ->  Dict:


	"""simple docstring"""



	a		=			(
	    list(range(ord('''!'''  ),  ord('''~'''  ) + 1  )  ) + list(range(ord('''¡'''  ),  ord('''¬'''  ) + 1  )  ) + list(range(ord('''®'''  ),  ord('''ÿ'''  ) + 1  )  )
	)
	a		=			bs[:]
	a		=			0
	for b in range(2**8  ):
		if b not in bs:
			bs.append(snake_case_  )
			cs.append(2**8 + n  )
			n += 1
	a		=			[chr(snake_case_  ) for n in cs]
	return dict(zip(snake_case_,  snake_case_  )  )





def   SCREAMING_SNAKE_CASE__						(   snake_case_  )   ->  Optional[int]:


	"""simple docstring"""



	a		=			set()
	a		=			word[0]
	for char in word[1:]:
		pairs.add((prev_char, char)  )
		a		=			char
	return pairs







class 				lowerCamelCase_     (	a_     ):
							SCREAMING_SNAKE_CASE_						     =			VOCAB_FILES_NAMES
							SCREAMING_SNAKE_CASE_						     =			PRETRAINED_VOCAB_FILES_MAP
							SCREAMING_SNAKE_CASE_						     =			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							SCREAMING_SNAKE_CASE_						     =			['input_ids', 'attention_mask']
							def __init__(						self		:					Any							,__lowerCamelCase		:					Optional[int]							,__lowerCamelCase		:					Union[str, Any]							,__lowerCamelCase		:					int="replace"							,__lowerCamelCase		:					int="<|endoftext|>"							,__lowerCamelCase		:					str="<|endoftext|>"							,__lowerCamelCase		:					Any="<|endoftext|>"							,__lowerCamelCase		:					List[str]=None							,__lowerCamelCase		:					Optional[Any]=False							,__lowerCamelCase		:					Optional[int]=False							,**__lowerCamelCase		:					Union[str, Any]							,):





								'''simple docstring'''



								a		=			AddedToken(__lowerCamelCase							,lstrip=__lowerCamelCase							,rstrip=__lowerCamelCase					) if isinstance(__lowerCamelCase							,__lowerCamelCase					) else bos_token
								a		=			AddedToken(__lowerCamelCase							,lstrip=__lowerCamelCase							,rstrip=__lowerCamelCase					) if isinstance(__lowerCamelCase							,__lowerCamelCase					) else eos_token
								a		=			AddedToken(__lowerCamelCase							,lstrip=__lowerCamelCase							,rstrip=__lowerCamelCase					) if isinstance(__lowerCamelCase							,__lowerCamelCase					) else unk_token
								a		=			AddedToken(__lowerCamelCase							,lstrip=__lowerCamelCase							,rstrip=__lowerCamelCase					) if isinstance(__lowerCamelCase							,__lowerCamelCase					) else pad_token
								super().__init__(
								    errors=__lowerCamelCase							,unk_token=__lowerCamelCase							,bos_token=__lowerCamelCase							,eos_token=__lowerCamelCase							,pad_token=__lowerCamelCase							,add_prefix_space=__lowerCamelCase							,add_bos_token=__lowerCamelCase							,**__lowerCamelCase							,)
								a		=			add_bos_token

								with open(__lowerCamelCase							,encoding='''utf-8'''					) as vocab_handle:
									a		=			json.load(__lowerCamelCase					)
								a		=			{v: k for k, v in self.encoder.items()}
								a		=			errors  # how to handle errors in decoding
								a		=			bytes_to_unicode()
								a		=			{v: k for k, v in self.byte_encoder.items()}
								with open(__lowerCamelCase							,encoding='''utf-8'''					) as merges_handle:
									a		=			merges_handle.read().split('''\n'''					)[1:-1]
								a		=			[tuple(merge.split()					) for merge in bpe_merges]
								a		=			dict(zip(__lowerCamelCase							,range(len(__lowerCamelCase					)					)					)					)
								a		=			{}
								a		=			add_prefix_space

								# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
								a		=			re.compile(r'''\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+'''					)
							@property
							def  SCREAMING_SNAKE_CASE_ (						self		:					Union[str, Any]					):





								'''simple docstring'''



								return len(self.encoder					)
							def  SCREAMING_SNAKE_CASE_ (						self		:					Dict					):





								'''simple docstring'''



								return dict(self.encoder							,**self.added_tokens_encoder					)
							def  SCREAMING_SNAKE_CASE_ (						self		:					int							,__lowerCamelCase		:					Any					):





								'''simple docstring'''



								if token in self.cache:
									return self.cache[token]
								a		=			tuple(__lowerCamelCase					)
								a		=			get_pairs(__lowerCamelCase					)

								if not pairs:
									return token

								while True:
									a		=			min(__lowerCamelCase							,key=lambda __lowerCamelCase					: self.bpe_ranks.get(__lowerCamelCase							,float('''inf'''					)					)					)
									if bigram not in self.bpe_ranks:
										break
									a	, a		=			bigram
									a		=			[]
									a		=			0
									while i < len(__lowerCamelCase					):
										try:
											a		=			word.index(__lowerCamelCase							,__lowerCamelCase					)
										except ValueError:
											new_word.extend(word[i:]					)
											break
										else:
											new_word.extend(word[i:j]					)
											a		=			j

										if word[i] == first and i < len(__lowerCamelCase					) - 1 and word[i + 1] == second:
											new_word.append(first + second					)
											i += 2
										else:
											new_word.append(word[i]					)
											i += 1
									a		=			tuple(__lowerCamelCase					)
									a		=			new_word
									if len(__lowerCamelCase					) == 1:
										break
									else:
										a		=			get_pairs(__lowerCamelCase					)
								a		=			''' '''.join(__lowerCamelCase					)
								a		=			word
								return word
							def  SCREAMING_SNAKE_CASE_ (						self		:					str							,__lowerCamelCase		:					int							,__lowerCamelCase		:					int=None					):





								'''simple docstring'''



								if self.add_bos_token:
									a		=			[self.bos_token_id]
								else:
									a		=			[]

								a		=			bos_token_ids + token_ids_a

								if token_ids_a is None:
									return output

								return output + bos_token_ids + token_ids_a
							def  SCREAMING_SNAKE_CASE_ (						self		:					Tuple							,__lowerCamelCase		:					List[Any]					):





								'''simple docstring'''



								a		=			[]
								for token in re.findall(self.pat							,__lowerCamelCase					):
									a		=			''''''.join(
									    self.byte_encoder[b] for b in token.encode('''utf-8'''					)					)  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
									bpe_tokens.extend(bpe_token for bpe_token in self.bpe(__lowerCamelCase					).split(''' '''					)					)
								return bpe_tokens
							def  SCREAMING_SNAKE_CASE_ (						self		:					Dict							,__lowerCamelCase		:					Union[str, Any]					):





								'''simple docstring'''



								return self.encoder.get(__lowerCamelCase							,self.encoder.get(self.unk_token					)					)
							def  SCREAMING_SNAKE_CASE_ (						self		:					Optional[Any]							,__lowerCamelCase		:					int					):





								'''simple docstring'''



								return self.decoder.get(__lowerCamelCase					)
							def  SCREAMING_SNAKE_CASE_ (						self		:					Optional[int]							,__lowerCamelCase		:					Optional[int]					):





								'''simple docstring'''



								a		=			''''''.join(__lowerCamelCase					)
								a		=			bytearray([self.byte_decoder[c] for c in text]					).decode('''utf-8'''							,errors=self.errors					)
								return text
							def  SCREAMING_SNAKE_CASE_ (						self		:					Tuple							,__lowerCamelCase		:					str							,__lowerCamelCase		:					Optional[str] = None					):





								'''simple docstring'''



								if not os.path.isdir(__lowerCamelCase					):
									logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""					)
									return
								a		=			os.path.join(
								    __lowerCamelCase							,(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']					)
								a		=			os.path.join(
								    __lowerCamelCase							,(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file''']					)

								with open(__lowerCamelCase							,'''w'''							,encoding='''utf-8'''					) as f:
									f.write(json.dumps(self.encoder							,indent=2							,sort_keys=__lowerCamelCase							,ensure_ascii=__lowerCamelCase					) + '''\n'''					)

								a		=			0
								with open(__lowerCamelCase							,'''w'''							,encoding='''utf-8'''					) as writer:
									writer.write('''#version: 0.2\n'''					)
									for bpe_tokens, token_index in sorted(self.bpe_ranks.items()							,key=lambda __lowerCamelCase					: kv[1]					):
										if index != token_index:
											logger.warning(
											    F"""Saving vocabulary to {merge_file}: BPE merge indices are not consecutive."""
											    ''' Please check that the tokenizer is not corrupted!'''					)
											a		=			token_index
										writer.write(''' '''.join(__lowerCamelCase					) + '''\n'''					)
										index += 1

								return vocab_file, merge_file
							def  SCREAMING_SNAKE_CASE_ (						self		:					Optional[Any]							,__lowerCamelCase		:					Any							,__lowerCamelCase		:					Optional[Any]=False							,**__lowerCamelCase		:					str					):





								'''simple docstring'''



								a		=			kwargs.pop('''add_prefix_space'''							,self.add_prefix_space					)
								if is_split_into_words or add_prefix_space:
									a		=			''' ''' + text
								return (text, kwargs)
							def  SCREAMING_SNAKE_CASE_ (						self		:					Tuple							,__lowerCamelCase		:					Union[int, List[int], "np.ndarray", "torch.Tensor", "tf.Tensor"]							,__lowerCamelCase		:					bool = False							,__lowerCamelCase		:					bool = None							,__lowerCamelCase		:					Optional[List[str]] = None							,**__lowerCamelCase		:					List[str]							,):





								'''simple docstring'''



								a		=			super()._decode(
								    token_ids=__lowerCamelCase							,skip_special_tokens=__lowerCamelCase							,clean_up_tokenization_spaces=__lowerCamelCase							,**__lowerCamelCase							,)

								if truncate_before_pattern is not None and len(__lowerCamelCase					) > 0:
									a		=			self.truncate(__lowerCamelCase							,__lowerCamelCase					)

								return decoded_text




							def  SCREAMING_SNAKE_CASE_ (						self		:					str							,__lowerCamelCase		:					List[Any]							,__lowerCamelCase		:					Any					):





								'''simple docstring'''



								def find_re(__lowerCamelCase		:					Optional[int]							,__lowerCamelCase		:					Tuple							,__lowerCamelCase		:					Tuple					):
									a		=			pattern.search(__lowerCamelCase							,__lowerCamelCase					)
									return m.start() if m else -1

								a		=			[re.compile(__lowerCamelCase							,re.MULTILINE					) for pattern in truncate_before_pattern]

								a		=			list(re.finditer('''^print'''							,__lowerCamelCase							,re.MULTILINE					)					)

								if len(__lowerCamelCase					) > 1:
									a		=			completion[: prints[1].start()]

								a		=			list(re.finditer('''^def'''							,__lowerCamelCase							,re.MULTILINE					)					)

								if len(__lowerCamelCase					) > 1:
									a		=			completion[: defs[1].start()]

								a		=			0

								a		=			[
								    pos for pos in [find_re(__lowerCamelCase							,__lowerCamelCase							,__lowerCamelCase					) for terminal in terminals] if pos != -1
								]

								if len(__lowerCamelCase					) > 0:
									return completion[: min(__lowerCamelCase					)]
								else:
									return completion













from __future__ import annotations

import sys







class 				lowerCamelCase_     :
							def __init__(						self		:					Optional[int]							,__lowerCamelCase		:					str							,__lowerCamelCase		:					int					):





								'''simple docstring'''



								a		=			letter
								a		=			freq
								a		=			{}




							def __repr__(						self		:					List[str]					):





								'''simple docstring'''



								return F"""{self.letter}:{self.freq}"""







class 				lowerCamelCase_     :
							def __init__(						self		:					Dict							,__lowerCamelCase		:					int							,__lowerCamelCase		:					Letter | TreeNode							,__lowerCamelCase		:					Letter | TreeNode					):





								'''simple docstring'''



								a		=			freq
								a		=			left
								a		=			right





def   SCREAMING_SNAKE_CASE__						(   snake_case_  )   ->  list[Letter]:


	"""simple docstring"""



	a		=			{}
	with open(snake_case_  ) as f:
		while True:
			a		=			f.read(1  )
			if not c:
				break
			a		=			chars[c] + 1 if c in chars else 1
	return sorted((Letter(snake_case_,  snake_case_  ) for c, f in chars.items()),  key=lambda snake_case_  : x.freq  )





def   SCREAMING_SNAKE_CASE__						(   snake_case_  )   ->  Letter | TreeNode:


	"""simple docstring"""



	a		=			letters  # type: ignore
	while len(snake_case_  ) > 1:
		a		=			response.pop(0  )
		a		=			response.pop(0  )
		a		=			left.freq + right.freq
		a		=			TreeNode(snake_case_,  snake_case_,  snake_case_  )
		response.append(snake_case_  )
		response.sort(key=lambda snake_case_  : x.freq  )
	return response[0]





def   SCREAMING_SNAKE_CASE__						(   snake_case_,  snake_case_  )   ->  list[Letter]:


	"""simple docstring"""



	if isinstance(snake_case_,  snake_case_  ):
		a		=			bitstring
		return [root]
	a		=			root  # type: ignore
	a		=			[]
	letters += traverse_tree(treenode.left,  bitstring + '''0'''  )
	letters += traverse_tree(treenode.right,  bitstring + '''1'''  )
	return letters





def   SCREAMING_SNAKE_CASE__						(   snake_case_  )   ->  None:


	"""simple docstring"""



	a		=			parse_file(snake_case_  )
	a		=			build_tree(snake_case_  )
	a		=			{
	    k: v for letter in traverse_tree(snake_case_,  ''''''  ) for k, v in letter.bitstring.items()
	}
	print(f"""Huffman Coding  of {file_path}: """  )
	with open(snake_case_  ) as f:
		while True:
			a		=			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])





