




import json
import os
from pathlib import Path
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple, Union

import sentencepiece

from ...tokenization_utils import BatchEncoding, PreTrainedTokenizer
from ...utils import logging


lowercase__				:     int 		=						logging.get_logger(__name__)

lowercase__				:     str 		=						"▁"

lowercase__				:     Optional[Any] 		=						{
    "vocab_file": "vocab.json",
    "spm_file": "sentencepiece.bpe.model",
    "tokenizer_config_file": "tokenizer_config.json",
}

lowercase__				:     Tuple 		=						{
    "vocab_file": {
        "facebook/m2m100_418M": "https://huggingface.co/facebook/m2m100_418M/resolve/main/vocab.json",
        "facebook/m2m100_1.2B": "https://huggingface.co/facebook/m2m100_1.2B/resolve/main/vocab.json",
    },
    "spm_file": {
        "facebook/m2m100_418M": "https://huggingface.co/facebook/m2m100_418M/resolve/main/sentencepiece.bpe.model",
        "facebook/m2m100_1.2B": "https://huggingface.co/facebook/m2m100_1.2B/resolve/main/sentencepiece.bpe.model",
    },
    "tokenizer_config_file": {
        "facebook/m2m100_418M": "https://huggingface.co/facebook/m2m100_418M/resolve/main/tokenizer_config.json",
        "facebook/m2m100_1.2B": "https://huggingface.co/facebook/m2m100_1.2B/resolve/main/tokenizer_config.json",
    },
}

lowercase__				:     List[str] 		=						{
    "facebook/m2m100_418M": 1024,
}

# fmt: off
lowercase__				:     Optional[Any] 		=						{
    "m2m100": ["af", "am", "ar", "ast", "az", "ba", "be", "bg", "bn", "br", "bs", "ca", "ceb", "cs", "cy", "da", "de", "el", "en", "es", "et", "fa", "ff", "fi", "fr", "fy", "ga", "gd", "gl", "gu", "ha", "he", "hi", "hr", "ht", "hu", "hy", "id", "ig", "ilo", "is", "it", "ja", "jv", "ka", "kk", "km", "kn", "ko", "lb", "lg", "ln", "lo", "lt", "lv", "mg", "mk", "ml", "mn", "mr", "ms", "my", "ne", "nl", "no", "ns", "oc", "or", "pa", "pl", "ps", "pt", "ro", "ru", "sd", "si", "sk", "sl", "so", "sq", "sr", "ss", "su", "sv", "sw", "ta", "th", "tl", "tn", "tr", "uk", "ur", "uz", "vi", "wo", "xh", "yi", "yo", "zh", "zu"],
    "wmt21": ["en", "ha", "is", "ja", "cs", "ru", "zh", "de"]
}
class 		UpperCAmelCase   (				UpperCAmelCase__			):







						'''simple docstring'''





						lowerCAmelCase_     		=   VOCAB_FILES_NAMES
						lowerCAmelCase_     		=   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						lowerCAmelCase_     		=   PRETRAINED_VOCAB_FILES_MAP
						lowerCAmelCase_     		=   ['''input_ids''', '''attention_mask''']

						lowerCAmelCase_     		=   []
						lowerCAmelCase_     		=   []






						def __init__(						self							:     Optional[int]       ,	__lowercase							:     List[Any]       ,	__lowercase							:     List[str]       ,	__lowercase							:     List[Any]=None       ,	__lowercase							:     List[str]=None       ,	__lowercase							:     Any="<s>"       ,	__lowercase							:     Optional[Any]="</s>"       ,	__lowercase							:     List[str]="</s>"       ,	__lowercase							:     Dict="<pad>"       ,	__lowercase							:     Optional[Any]="<unk>"       ,	__lowercase							:     Any="m2m100"       ,	__lowercase							:     Optional[Dict[str, Any]] = None       ,	__lowercase							:     Tuple=8       ,	**__lowercase							:     int       ,	):






							"""simple docstring"""






							snake_case_		    =     {} if sp_model_kwargs is None else sp_model_kwargs

							snake_case_		    =     language_codes
							snake_case_		    =     FAIRSEQ_LANGUAGE_CODES[language_codes]
							snake_case_		    =     {lang_code: f"__{lang_code}__" for lang_code in fairseq_language_code}

							snake_case_		    =     kwargs.get("additional_special_tokens"       ,	[]						)
							kwargs["additional_special_tokens"] += [
							    self.get_lang_token(__lowercase						)
							    for lang_code in fairseq_language_code
							    if self.get_lang_token(__lowercase						) not in kwargs["additional_special_tokens"]
							]

							super().__init__(
							    src_lang=__lowercase       ,	tgt_lang=__lowercase       ,	bos_token=__lowercase       ,	eos_token=__lowercase       ,	sep_token=__lowercase       ,	unk_token=__lowercase       ,	pad_token=__lowercase       ,	language_codes=__lowercase       ,	sp_model_kwargs=self.sp_model_kwargs       ,	num_madeup_words=__lowercase       ,	**__lowercase       ,	)

							snake_case_		    =     vocab_file
							snake_case_		    =     load_json(__lowercase						)
							snake_case_		    =     {v: k for k, v in self.encoder.items()}
							snake_case_		    =     spm_file
							snake_case_		    =     load_spm(__lowercase       ,	self.sp_model_kwargs						)

							snake_case_		    =     len(self.encoder						)

							snake_case_		    =     {
							    self.get_lang_token(__lowercase						): self.encoder_size + i for i, lang_code in enumerate(__lowercase						)
							}
							snake_case_		    =     {lang_code: self.encoder_size + i for i, lang_code in enumerate(__lowercase						)}
							snake_case_		    =     {v: k for k, v in self.lang_token_to_id.items()}

							snake_case_		    =     src_lang if src_lang is not None else "en"
							snake_case_		    =     tgt_lang
							snake_case_		    =     self.get_lang_id(self._src_lang						)
							self.set_src_lang_special_tokens(self._src_lang						)

							snake_case_		    =     num_madeup_words






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






							"""simple docstring"""






							return len(self.encoder						) + len(self.lang_token_to_id						)






						@property
						def        snake_case__						(						self							:     Dict						):






							"""simple docstring"""






							return self._src_lang






						@src_lang.setter
						def        snake_case__						(						self							:     str       ,	__lowercase							:     str						):






							"""simple docstring"""






							snake_case_		    =     new_src_lang
							self.set_src_lang_special_tokens(self._src_lang						)






						def        snake_case__						(						self							:     List[str]       ,	__lowercase							:     str						):






							"""simple docstring"""






							return self.sp_model.encode(__lowercase       ,	out_type=__lowercase						)






						def        snake_case__						(						self							:     List[str]       ,	__lowercase							:     int						):






							"""simple docstring"""






							if token in self.lang_token_to_id:
								return self.lang_token_to_id[token]
							return self.encoder.get(__lowercase       ,	self.encoder[self.unk_token]						)






						def        snake_case__						(						self							:     str       ,	__lowercase							:     int						):






							"""simple docstring"""






							if index in self.id_to_lang_token:
								return self.id_to_lang_token[index]
							return self.decoder.get(__lowercase       ,	self.unk_token						)






						def        snake_case__						(						self							:     Optional[Any]       ,	__lowercase							:     Any						):






							"""simple docstring"""






							snake_case_		    =     []
							snake_case_		    =     ""
							for token in tokens:
								# make sure that special tokens are not decoded using sentencepiece model
								if token in self.all_special_tokens:
									out_string += self.sp_model.decode(__lowercase						) + token
									snake_case_		    =     []
								else:
									current_sub_tokens.append(__lowercase						)
							out_string += self.sp_model.decode(__lowercase						)
							return out_string.strip()






						def        snake_case__						(						self							:     str       ,	__lowercase							:     List[int]       ,	__lowercase							:     Optional[List[int]] = None       ,	__lowercase							:     bool = False						):






							"""simple docstring"""






							if already_has_special_tokens:
								return super().get_special_tokens_mask(
								    token_ids_a=__lowercase       ,	token_ids_a=__lowercase       ,	already_has_special_tokens=__lowercase						)

							snake_case_		    =     [1] * len(self.prefix_tokens						)
							snake_case_		    =     [1] * len(self.suffix_tokens						)
							if token_ids_a is None:
								return prefix_ones + ([0] * len(__lowercase						)) + suffix_ones
							return prefix_ones + ([0] * len(__lowercase						)) + ([0] * len(__lowercase						)) + suffix_ones






						def        snake_case__						(						self							:     Dict       ,	__lowercase							:     List[int]       ,	__lowercase							:     Optional[List[int]] = None						):






							"""simple docstring"""






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






						def        snake_case__						(						self							:     Any						):






							"""simple docstring"""






							snake_case_		    =     {self.convert_ids_to_tokens(__lowercase						): i for i in range(self.vocab_size						)}
							vocab.update(self.added_tokens_encoder						)
							return vocab






						def __getstate__(						self							:     Optional[int]						):






							"""simple docstring"""






							snake_case_		    =     self.__dict__.copy()
							snake_case_		    =     None
							return state






						def __setstate__(						self							:     List[Any]       ,	__lowercase							:     Dict						):






							"""simple docstring"""






							snake_case_		    =     d

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

							snake_case_		    =     load_spm(self.spm_file       ,	self.sp_model_kwargs						)






						def        snake_case__						(						self							:     str       ,	__lowercase							:     str       ,	__lowercase							:     Optional[str] = None						):






							"""simple docstring"""






							snake_case_		    =     Path(__lowercase						)
							if not save_dir.is_dir():
								raise OSError(f"{save_directory} should be a directory"						)
							snake_case_		    =     save_dir / (
							    (filename_prefix + "-" if filename_prefix else "") + self.vocab_files_names["vocab_file"]
							)
							snake_case_		    =     save_dir / (
							    (filename_prefix + "-" if filename_prefix else "") + self.vocab_files_names["spm_file"]
							)

							save_json(self.encoder       ,	__lowercase						)

							if os.path.abspath(self.spm_file						) != os.path.abspath(__lowercase						) and os.path.isfile(self.spm_file						):
								copyfile(self.spm_file       ,	__lowercase						)
							elif not os.path.isfile(self.spm_file						):
								with open(__lowercase       ,	"wb"						) as fi:
									snake_case_		    =     self.sp_model.serialized_model_proto()
									fi.write(__lowercase						)

							return (str(__lowercase						), str(__lowercase						))






						def        snake_case__						(						self							:     List[str]       ,	__lowercase							:     List[str]       ,	__lowercase							:     str = "en"       ,	__lowercase							:     Optional[List[str]] = None       ,	__lowercase							:     str = "ro"       ,	**__lowercase							:     List[str]       ,	):






							"""simple docstring"""






							snake_case_		    =     src_lang
							snake_case_		    =     tgt_lang
							self.set_src_lang_special_tokens(self.src_lang						)
							return super().prepare_seqaseq_batch(__lowercase       ,	__lowercase       ,	**__lowercase						)






						def        snake_case__						(						self							:     List[Any]       ,	__lowercase							:     Optional[Any]       ,	__lowercase							:     Optional[str]       ,	__lowercase							:     Optional[str]       ,	**__lowercase							:     int						):






							"""simple docstring"""






							if src_lang is None or tgt_lang is None:
								raise ValueError("Translation requires a `src_lang` and a `tgt_lang` for this model"						)
							snake_case_		    =     src_lang
							snake_case_		    =     self(__lowercase       ,	add_special_tokens=__lowercase       ,	**__lowercase						)
							snake_case_		    =     self.get_lang_id(__lowercase						)
							snake_case_		    =     tgt_lang_id
							return inputs






						def        snake_case__						(						self							:     List[Any]						):






							"""simple docstring"""






							self.set_src_lang_special_tokens(self.src_lang						)






						def        snake_case__						(						self							:     List[str]						):






							"""simple docstring"""






							self.set_tgt_lang_special_tokens(self.tgt_lang						)






						def        snake_case__						(						self							:     Tuple       ,	__lowercase							:     str						):






							"""simple docstring"""






							snake_case_		    =     self.get_lang_token(__lowercase						)
							snake_case_		    =     self.lang_token_to_id[lang_token]
							snake_case_		    =     [self.cur_lang_id]
							snake_case_		    =     [self.eos_token_id]






						def        snake_case__						(						self							:     Any       ,	__lowercase							:     str						):






							"""simple docstring"""






							snake_case_		    =     self.get_lang_token(__lowercase						)
							snake_case_		    =     self.lang_token_to_id[lang_token]
							snake_case_		    =     [self.cur_lang_id]
							snake_case_		    =     [self.eos_token_id]






						def        snake_case__						(						self							:     Union[str, Any]       ,	__lowercase							:     str						):






							"""simple docstring"""






							return self.lang_code_to_token[lang]






						def        snake_case__						(						self							:     Union[str, Any]       ,	__lowercase							:     str						):






							"""simple docstring"""






							snake_case_		    =     self.get_lang_token(__lowercase						)
							return self.lang_token_to_id[lang_token]







def 						lowerCamelCase__    (		_A     ,	_A							):







	'''simple docstring'''





	snake_case_		    =     sentencepiece.SentencePieceProcessor(**_A							)
	spm.Load(str(_A							)							)
	return spm


def 						lowerCamelCase__    (		_A							):







	'''simple docstring'''





	with open(_A     ,	"r"							) as f:
		return json.load(_A							)






def 						lowerCamelCase__    (		_A     ,	_A							):







	'''simple docstring'''





	with open(_A     ,	"w"							) as f:
		json.dump(_A     ,	_A     ,	indent=2							)






class 		UpperCAmelCase   :







						'''simple docstring'''





						def __init__(						self							:     Dict						):






							"""simple docstring"""






							snake_case_		    =     {}  # Mapping from char to TrieNode
							snake_case_		    =     False






						def        snake_case__						(						self							:     Dict       ,	__lowercase							:     list[str]						):






							"""simple docstring"""






							for word in words:
								self.insert(__lowercase						)






						def        snake_case__						(						self							:     List[str]       ,	__lowercase							:     str						):






							"""simple docstring"""






							snake_case_		    =     self
							for char in word:
								if char not in curr.nodes:
									snake_case_		    =     TrieNode()
								snake_case_		    =     curr.nodes[char]
							snake_case_		    =     True






						def        snake_case__						(						self							:     List[Any]       ,	__lowercase							:     str						):






							"""simple docstring"""






							snake_case_		    =     self
							for char in word:
								if char not in curr.nodes:
									return False
								snake_case_		    =     curr.nodes[char]
							return curr.is_leaf






						def        snake_case__						(						self							:     Optional[Any]       ,	__lowercase							:     str						):






							"""simple docstring"""






							def _delete(__lowercase							:     TrieNode       ,	__lowercase							:     str       ,	__lowercase							:     int						) -> bool:
								if index == len(__lowercase						):
									# If word does not exist
									if not curr.is_leaf:
										return False
									snake_case_		    =     False
									return len(curr.nodes						) == 0
								snake_case_		    =     word[index]
								snake_case_		    =     curr.nodes.get(__lowercase						)
								# If char not in current trie node
								if not char_node:
									return False
								# Flag to check if node can be deleted
								snake_case_		    =     _delete(__lowercase       ,	__lowercase       ,	index + 1						)
								if delete_curr:
									del curr.nodes[char]
									return len(curr.nodes						) == 0
								return delete_curr

							_delete(self       ,	__lowercase       ,	0						)







def 						lowerCamelCase__    (		_A     ,	_A							):







	'''simple docstring'''





	if node.is_leaf:
		print(_A     ,	end=" "							)

	for key, value in node.nodes.items():
		print_words(_A     ,	word + key							)


def 						lowerCamelCase__    (		):







	'''simple docstring'''





	snake_case_		    =     "banana bananas bandana band apple all beast".split()
	snake_case_		    =     TrieNode()
	root.insert_many(_A							)
	# print_words(root, "")
	assert all(root.find(_A							) for word in words							)
	assert root.find("banana"							)
	assert not root.find("bandanas"							)
	assert not root.find("apps"							)
	assert root.find("apple"							)
	assert root.find("all"							)
	root.delete("all"							)
	assert not root.find("all"							)
	root.delete("banana"							)
	assert not root.find("banana"							)
	assert root.find("bananas"							)
	return True


def 						lowerCamelCase__    (		_A     ,	_A							):







	'''simple docstring'''





	print(str(_A							)     ,	"works!" if passes else "doesn't work :("							)


def 						lowerCamelCase__    (		):







	'''simple docstring'''





	assert test_trie()


def 						lowerCamelCase__    (		):







	'''simple docstring'''





	print_results("Testing trie functionality"     ,	test_trie()							)


if __name__ == "__main__":
		main()
