






import os
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

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


a__       =     logging.get_logger(__name__)

a__       =     """▁"""

a__       =     {"""vocab_file""": """sentencepiece.bpe.model"""}

a__       =     {
    """vocab_file""": {
        """facebook/nllb-200-distilled-600M""": (
            """https://huggingface.co/facebook/nllb-200-distilled-600M/blob/main/sentencepiece.bpe.model"""
        ),
    }
}

a__       =     {
    """facebook/nllb-200-distilled-600M""": 1_0_2_4,
}

# fmt: off
a__       =     ["""ace_Arab""", """ace_Latn""", """acm_Arab""", """acq_Arab""", """aeb_Arab""", """afr_Latn""", """ajp_Arab""", """aka_Latn""", """amh_Ethi""", """apc_Arab""", """arb_Arab""", """ars_Arab""", """ary_Arab""", """arz_Arab""", """asm_Beng""", """ast_Latn""", """awa_Deva""", """ayr_Latn""", """azb_Arab""", """azj_Latn""", """bak_Cyrl""", """bam_Latn""", """ban_Latn""", """bel_Cyrl""", """bem_Latn""", """ben_Beng""", """bho_Deva""", """bjn_Arab""", """bjn_Latn""", """bod_Tibt""", """bos_Latn""", """bug_Latn""", """bul_Cyrl""", """cat_Latn""", """ceb_Latn""", """ces_Latn""", """cjk_Latn""", """ckb_Arab""", """crh_Latn""", """cym_Latn""", """dan_Latn""", """deu_Latn""", """dik_Latn""", """dyu_Latn""", """dzo_Tibt""", """ell_Grek""", """eng_Latn""", """epo_Latn""", """est_Latn""", """eus_Latn""", """ewe_Latn""", """fao_Latn""", """pes_Arab""", """fij_Latn""", """fin_Latn""", """fon_Latn""", """fra_Latn""", """fur_Latn""", """fuv_Latn""", """gla_Latn""", """gle_Latn""", """glg_Latn""", """grn_Latn""", """guj_Gujr""", """hat_Latn""", """hau_Latn""", """heb_Hebr""", """hin_Deva""", """hne_Deva""", """hrv_Latn""", """hun_Latn""", """hye_Armn""", """ibo_Latn""", """ilo_Latn""", """ind_Latn""", """isl_Latn""", """ita_Latn""", """jav_Latn""", """jpn_Jpan""", """kab_Latn""", """kac_Latn""", """kam_Latn""", """kan_Knda""", """kas_Arab""", """kas_Deva""", """kat_Geor""", """knc_Arab""", """knc_Latn""", """kaz_Cyrl""", """kbp_Latn""", """kea_Latn""", """khm_Khmr""", """kik_Latn""", """kin_Latn""", """kir_Cyrl""", """kmb_Latn""", """kon_Latn""", """kor_Hang""", """kmr_Latn""", """lao_Laoo""", """lvs_Latn""", """lij_Latn""", """lim_Latn""", """lin_Latn""", """lit_Latn""", """lmo_Latn""", """ltg_Latn""", """ltz_Latn""", """lua_Latn""", """lug_Latn""", """luo_Latn""", """lus_Latn""", """mag_Deva""", """mai_Deva""", """mal_Mlym""", """mar_Deva""", """min_Latn""", """mkd_Cyrl""", """plt_Latn""", """mlt_Latn""", """mni_Beng""", """khk_Cyrl""", """mos_Latn""", """mri_Latn""", """zsm_Latn""", """mya_Mymr""", """nld_Latn""", """nno_Latn""", """nob_Latn""", """npi_Deva""", """nso_Latn""", """nus_Latn""", """nya_Latn""", """oci_Latn""", """gaz_Latn""", """ory_Orya""", """pag_Latn""", """pan_Guru""", """pap_Latn""", """pol_Latn""", """por_Latn""", """prs_Arab""", """pbt_Arab""", """quy_Latn""", """ron_Latn""", """run_Latn""", """rus_Cyrl""", """sag_Latn""", """san_Deva""", """sat_Beng""", """scn_Latn""", """shn_Mymr""", """sin_Sinh""", """slk_Latn""", """slv_Latn""", """smo_Latn""", """sna_Latn""", """snd_Arab""", """som_Latn""", """sot_Latn""", """spa_Latn""", """als_Latn""", """srd_Latn""", """srp_Cyrl""", """ssw_Latn""", """sun_Latn""", """swe_Latn""", """swh_Latn""", """szl_Latn""", """tam_Taml""", """tat_Cyrl""", """tel_Telu""", """tgk_Cyrl""", """tgl_Latn""", """tha_Thai""", """tir_Ethi""", """taq_Latn""", """taq_Tfng""", """tpi_Latn""", """tsn_Latn""", """tso_Latn""", """tuk_Latn""", """tum_Latn""", """tur_Latn""", """twi_Latn""", """tzm_Tfng""", """uig_Arab""", """ukr_Cyrl""", """umb_Latn""", """urd_Arab""", """uzn_Latn""", """vec_Latn""", """vie_Latn""", """war_Latn""", """wol_Latn""", """xho_Latn""", """ydd_Hebr""", """yor_Latn""", """yue_Hant""", """zho_Hans""", """zho_Hant""", """zul_Latn"""]


class    _lowerCAmelCase			(		lowercase_      ):



				"""simple docstring"""



				_lowercase				:   List[Any]      =  VOCAB_FILES_NAMES
				_lowercase				:   int      =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				_lowercase				:   Dict      =  PRETRAINED_VOCAB_FILES_MAP
				_lowercase				:   Union[str, Any]      =  ['''input_ids''', '''attention_mask''']

				_lowercase				:   List[int]      =  []
				_lowercase				:   List[int]      =  []



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






											'''simple docstring'''







											snake_case__	  =       AddedToken(UpperCamelCase__			,		lstrip=UpperCamelCase__			,		rstrip=UpperCamelCase__) if isinstance(UpperCamelCase__			,		UpperCamelCase__) else mask_token

											snake_case__	  =       {} if sp_model_kwargs is None else sp_model_kwargs
											snake_case__	  =       legacy_behaviour

											super().__init__(
											    bos_token=UpperCamelCase__			,		eos_token=UpperCamelCase__			,		unk_token=UpperCamelCase__			,		sep_token=UpperCamelCase__			,		cls_token=UpperCamelCase__			,		pad_token=UpperCamelCase__			,		mask_token=UpperCamelCase__			,		tokenizer_file=UpperCamelCase__			,		src_lang=UpperCamelCase__			,		tgt_lang=UpperCamelCase__			,		additional_special_tokens=UpperCamelCase__			,		sp_model_kwargs=self.sp_model_kwargs			,		legacy_behaviour=UpperCamelCase__			,		**UpperCamelCase__			,		)

											snake_case__	  =       spm.SentencePieceProcessor(**self.sp_model_kwargs)
											self.sp_model.Load(str(UpperCamelCase__))
											snake_case__	  =       vocab_file
											# Original fairseq vocab and spm vocab must be "aligned":
											# Vocab    |    0    |    1    |   2    |    3    |  4   |  5   |  6   |   7  |   8  |  9
											# -------- | ------- | ------- | ------ | ------- | ---- | ---- | ---- | ---- | ---- | ----
											# fairseq  | '<s>'   | '<pad>' | '</s>' | '<unk>' | 'an' | '▁n' | '▁m' | '▁t' | '▁k' | '▁a'
											# spm      | '<unk>' | '<s>'   | '</s>' | 'an'    | '▁n' | '▁m' | '▁t' | '▁k' | '▁a' | '▁s'

											# Mimic fairseq token-to-id alignment for the first 4 token
											snake_case__	  =       {"""<s>""": 0, """<pad>""": 1, """</s>""": 2, """<unk>""": 3}

											# The first "real" token "," has position 4 in the original fairseq vocab and position 3 in the spm vocab
											snake_case__	  =       1

											snake_case__	  =       len(self.sp_model)
											snake_case__	  =       {
											    code: self.sp_model_size + i + self.fairseq_offset for i, code in enumerate(UpperCamelCase__)
											}
											snake_case__	  =       {v: k for k, v in self.lang_code_to_id.items()}
											snake_case__	  =       len(self.sp_model) + len(self.lang_code_to_id) + self.fairseq_offset

											self.fairseq_tokens_to_ids.update(self.lang_code_to_id)
											snake_case__	  =       {v: k for k, v in self.fairseq_tokens_to_ids.items()}
											snake_case__	  =       list(self.lang_code_to_id.keys())

											if additional_special_tokens is not None:
																		# Only add those special tokens if they are not already there.
																		self._additional_special_tokens.extend(
																		    [t for t in additional_special_tokens if t not in self._additional_special_tokens])

											snake_case__	  =       src_lang if src_lang is not None else """eng_Latn"""
											snake_case__	  =       self.lang_code_to_id[self._src_lang]
											snake_case__	  =       tgt_lang
											self.set_src_lang_special_tokens(self._src_lang)



				def __getstate__(      self    :    Any):






											'''simple docstring'''







											snake_case__	  =       self.__dict__.copy()
											snake_case__	  =       None
											snake_case__	  =       self.sp_model.serialized_model_proto()
											return state



				def __setstate__(      self    :    List[str]			,		UpperCamelCase__    :    List[str]):






											'''simple docstring'''







											snake_case__	  =       d

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

											snake_case__	  =       spm.SentencePieceProcessor(**self.sp_model_kwargs)
											self.sp_model.LoadFromSerializedProto(self.sp_model_proto)



				@property
				def 					__magic_name__							(      self    :    Union[str, Any]):






											'''simple docstring'''







											return len(self.sp_model) + len(self.lang_code_to_id) + self.fairseq_offset + 1  # Plus 1 for the mask token



				@property
				def 					__magic_name__							(      self    :    str):






											'''simple docstring'''







											return self._src_lang



				@src_lang.setter
				def 					__magic_name__							(      self    :    str			,		UpperCamelCase__    :    str):






											'''simple docstring'''







											snake_case__	  =       new_src_lang
											self.set_src_lang_special_tokens(self._src_lang)



				def 					__magic_name__							(      self    :    Any			,		UpperCamelCase__    :    List[int]			,		UpperCamelCase__    :    Optional[List[int]] = None			,		UpperCamelCase__    :    bool = False):






											'''simple docstring'''







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

											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(UpperCamelCase__)) + suffix_ones
											return prefix_ones + ([0] * len(UpperCamelCase__)) + ([0] * len(UpperCamelCase__)) + suffix_ones



				def 					__magic_name__							(      self    :    List[str]			,		UpperCamelCase__    :    List[int]			,		UpperCamelCase__    :    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 					__magic_name__							(      self    :    int			,		UpperCamelCase__    :    List[int]			,		UpperCamelCase__    :    Optional[List[int]] = None):






											'''simple docstring'''







											snake_case__	  =       [self.sep_token_id]
											snake_case__	  =       [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 					__magic_name__							(      self    :    str			,		UpperCamelCase__    :    Tuple			,		UpperCamelCase__    :    str			,		UpperCamelCase__    :    Optional[str]			,		UpperCamelCase__    :    Optional[str]			,		**UpperCamelCase__    :    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(UpperCamelCase__			,		add_special_tokens=UpperCamelCase__			,		return_tensors=UpperCamelCase__			,		**UpperCamelCase__)
											snake_case__	  =       self.convert_tokens_to_ids(UpperCamelCase__)
											snake_case__	  =       tgt_lang_id
											return inputs



				def 					__magic_name__							(      self    :    str):






											'''simple docstring'''







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



				def 					__magic_name__							(      self    :    str			,		UpperCamelCase__    :    str):






											'''simple docstring'''







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



				def 					__magic_name__							(      self    :    int			,		UpperCamelCase__    :    List[Any]):






											'''simple docstring'''







											if token in self.fairseq_tokens_to_ids:
																		return self.fairseq_tokens_to_ids[token]
											snake_case__	  =       self.sp_model.PieceToId(UpperCamelCase__)

											# Need to return unknown token if the SP model returned 0
											return spm_id + self.fairseq_offset if spm_id else self.unk_token_id



				def 					__magic_name__							(      self    :    List[str]			,		UpperCamelCase__    :    Any):






											'''simple docstring'''







											if index in self.fairseq_ids_to_tokens:
																		return self.fairseq_ids_to_tokens[index]
											return self.sp_model.IdToPiece(index - self.fairseq_offset)



				def 					__magic_name__							(      self    :    Dict			,		UpperCamelCase__    :    Optional[int]):






											'''simple docstring'''







											snake_case__	  =       """""".join(UpperCamelCase__).replace(UpperCamelCase__			,		""" """).strip()
											return out_string



				def 					__magic_name__							(      self    :    Optional[Any]			,		UpperCamelCase__    :    str			,		UpperCamelCase__    :    Optional[str] = None):






											'''simple docstring'''







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

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

											return (out_vocab_file,)



				def 					__magic_name__							(      self    :    List[str]			,		UpperCamelCase__    :    List[str]			,		UpperCamelCase__    :    str = "eng_Latn"			,		UpperCamelCase__    :    Optional[List[str]] = None			,		UpperCamelCase__    :    str = "fra_Latn"			,		**UpperCamelCase__    :    List[Any]			,		):






											'''simple docstring'''







											snake_case__	  =       src_lang
											snake_case__	  =       tgt_lang
											return super().prepare_seqaseq_batch(UpperCamelCase__			,		UpperCamelCase__			,		**UpperCamelCase__)



				def 					__magic_name__							(      self    :    str):






											'''simple docstring'''







											return self.set_src_lang_special_tokens(self.src_lang)



				def 					__magic_name__							(      self    :    Any):






											'''simple docstring'''







											return self.set_tgt_lang_special_tokens(self.tgt_lang)



				def 					__magic_name__							(      self    :    Tuple			,		UpperCamelCase__    :    Any):






											'''simple docstring'''







											snake_case__	  =       self.lang_code_to_id[src_lang]
											if self.legacy_behaviour:
																		snake_case__	  =       []
																		snake_case__	  =       [self.eos_token_id, self.cur_lang_code]
											else:
																		snake_case__	  =       [self.cur_lang_code]
																		snake_case__	  =       [self.eos_token_id]



				def 					__magic_name__							(      self    :    Optional[int]			,		UpperCamelCase__    :    str):






											'''simple docstring'''







											snake_case__	  =       self.lang_code_to_id[lang]
											if self.legacy_behaviour:
																		snake_case__	  =       []
																		snake_case__	  =       [self.eos_token_id, self.cur_lang_code]
											else:
																		snake_case__	  =       [self.cur_lang_code]
																		snake_case__	  =       [self.eos_token_id]








from __future__ import annotations


class    _lowerCAmelCase			:



				"""simple docstring"""



				def __init__(      self    :    Optional[int]			,		UpperCamelCase__    :    int):






											'''simple docstring'''







											snake_case__	  =       data
											snake_case__	  =       None
											snake_case__	  =       None


def _UpperCAmelCase   (	a						:	Node | None ):  # In Order traversal of the tree
							if tree:
														display(tree.left )
														print(tree.data )
														display(tree.right )

def _UpperCAmelCase   (	a						:	Node | None ):
							return 1 + max(depth_of_tree(tree.left )  ,					depth_of_tree(tree.right ) ) if tree else 0

def _UpperCAmelCase   (	a						:	Node ):
							if not tree:
														return True
							if tree.left and tree.right:
														return is_full_binary_tree(tree.left ) and is_full_binary_tree(tree.right )
							else:
														return not tree.left and not tree.right

def _UpperCAmelCase   (	):  # Main function for testing.
							snake_case__	  =       Node(1 )
							snake_case__	  =       Node(2 )
							snake_case__	  =       Node(3 )
							snake_case__	  =       Node(4 )
							snake_case__	  =       Node(5 )
							snake_case__	  =       Node(6 )
							snake_case__	  =       Node(7 )
							snake_case__	  =       Node(8 )
							snake_case__	  =       Node(9 )

							print(is_full_binary_tree(a ) )
							print(depth_of_tree(a ) )
							print("""Tree is: """ )
							display(a )


if __name__ == "__main__":
	main()
