





def        _lowercase   (  _UpperCAmelCase = 10     , _UpperCAmelCase = 10_00     , _UpperCAmelCase = True			)  ->					int:
				assert (
				    isinstance(_UpperCAmelCase     , _UpperCAmelCase			)
				    and isinstance(_UpperCAmelCase     , _UpperCAmelCase			)
				    and isinstance(_UpperCAmelCase     , _UpperCAmelCase			)
				), "Invalid type of value(s) specified to function!"

				if min_val > max_val:
								raise ValueError("""Invalid value for min_val or max_val (min_value < max_value)"""			)
				return min_val if option else max_val





def        _lowercase   (  _UpperCAmelCase     , _UpperCAmelCase			)  ->					int:
				return int((number_a + number_a) / 2			)





def        _lowercase   (  _UpperCAmelCase     , _UpperCAmelCase     , _UpperCAmelCase			)  ->					None:
				assert (
				    isinstance(_UpperCAmelCase     , _UpperCAmelCase			) and isinstance(_UpperCAmelCase     , _UpperCAmelCase			) and isinstance(_UpperCAmelCase     , _UpperCAmelCase			)
				), 'argument values must be type of "int"'

				if lower > higher:
								raise ValueError("""argument value for lower and higher must be(lower > higher)"""			)

				if not lower < to_guess < higher:
								raise ValueError(
								    """guess value must be within the range of lower and higher value"""			)

				def answer(_UpperCAmelCase			) -> str:
								if number > to_guess:
												return "high"
								elif number < to_guess:
												return "low"
								else:
												return "same"

				print("""started..."""			)

				lowerCamelCase			=lower
				lowerCamelCase			=higher

				lowerCamelCase			=[]

				while True:
								lowerCamelCase			=get_avg(_UpperCAmelCase     , _UpperCAmelCase			)
								last_numbers.append(_UpperCAmelCase			)

								if answer(_UpperCAmelCase			) == "low":
												lowerCamelCase			=number
								elif answer(_UpperCAmelCase			) == "high":
												lowerCamelCase			=number
								else:
												break

				print(F"""guess the number : {last_numbers[-1]}"""			)
				print(F"""details : {last_numbers!s}"""			)





def        _lowercase   (  )  ->					None:
				lowerCamelCase			=int(input("""Enter lower value : """			).strip()			)
				lowerCamelCase			=int(input("""Enter high value : """			).strip()			)
				lowerCamelCase			=int(input("""Enter value to guess : """			).strip()			)
				guess_the_number(_UpperCAmelCase     , _UpperCAmelCase     , _UpperCAmelCase			)


if __name__ == "__main__":
							main()








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

from tokenizers import processors

from ...tokenization_utils import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
							from .tokenization_nllb import NllbTokenizer
else:
							UpperCAmelCase__  :     Any   			=None


UpperCAmelCase__  :     List[str]   			=logging.get_logger(__name__)


UpperCAmelCase__  :     Tuple   			={'''vocab_file''': '''sentencepiece.bpe.model''', '''tokenizer_file''': '''tokenizer.json'''}

UpperCAmelCase__  :     Dict   			={
    '''vocab_file''': {
        '''facebook/nllb-200-distilled-600M''': (
            '''https://huggingface.co/facebook/nllb-200-distilled-600M/resolve/main/sentencepiece.bpe.model'''
        ),
    },
    '''tokenizer_file''': {
        '''facebook/nllb-200-distilled-600M''': (
            '''https://huggingface.co/facebook/nllb-200-distilled-600M/resolve/main/tokenizer.json'''
        ),
    },
}

UpperCAmelCase__  :     Optional[int]   			={
    '''facebook/nllb-large-en-ro''': 10_24,
    '''facebook/nllb-200-distilled-600M''': 10_24,
}

# fmt: off
UpperCAmelCase__  :     Dict   			=['''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  __A       (  a      ):
				__A								=			VOCAB_FILES_NAMES
				__A								=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				__A								=			PRETRAINED_VOCAB_FILES_MAP
				__A								=			["""input_ids""", """attention_mask"""]
				__A								=			NllbTokenizer

				__A								=			[]
				__A								=			[]


				def __init__(						self				,	UpperCAmelCase_=None				,	UpperCAmelCase_=None				,	UpperCAmelCase_="<s>"				,	UpperCAmelCase_="</s>"				,	UpperCAmelCase_="</s>"				,	UpperCAmelCase_="<s>"				,	UpperCAmelCase_="<unk>"				,	UpperCAmelCase_="<pad>"				,	UpperCAmelCase_="<mask>"				,	UpperCAmelCase_=None				,	UpperCAmelCase_=None				,	UpperCAmelCase_=None				,	UpperCAmelCase_=False				,	**UpperCAmelCase_				,	):
								# Mask token behave like a normal word, i.e. include the space before it
								lowerCamelCase			=AddedToken(UpperCAmelCase_				,	lstrip=UpperCAmelCase_				,	rstrip=UpperCAmelCase_							) if isinstance(UpperCAmelCase_				,	UpperCAmelCase_							) else mask_token
								lowerCamelCase			=legacy_behaviour
								super().__init__(
								    vocab_file=UpperCAmelCase_				,	tokenizer_file=UpperCAmelCase_				,	bos_token=UpperCAmelCase_				,	eos_token=UpperCAmelCase_				,	sep_token=UpperCAmelCase_				,	cls_token=UpperCAmelCase_				,	unk_token=UpperCAmelCase_				,	pad_token=UpperCAmelCase_				,	mask_token=UpperCAmelCase_				,	src_lang=UpperCAmelCase_				,	tgt_lang=UpperCAmelCase_				,	additional_special_tokens=UpperCAmelCase_				,	legacy_behaviour=UpperCAmelCase_				,	**UpperCAmelCase_				,	)

								lowerCamelCase			=vocab_file
								lowerCamelCase			=False if not self.vocab_file else True

								lowerCamelCase			=FAIRSEQ_LANGUAGE_CODES.copy()

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

								self.add_special_tokens({"""additional_special_tokens""": _additional_special_tokens}							)
								lowerCamelCase			={
								    lang_code: self.convert_tokens_to_ids(UpperCAmelCase_							) for lang_code in FAIRSEQ_LANGUAGE_CODES
								}

								lowerCamelCase			=src_lang if src_lang is not None else """eng_Latn"""
								lowerCamelCase			=self.convert_tokens_to_ids(self._src_lang							)
								lowerCamelCase			=tgt_lang
								self.set_src_lang_special_tokens(self._src_lang							)


				@property
				def _snake_case    (						self							):
								return self._src_lang


				@src_lang.setter
				def _snake_case    (						self				,	UpperCAmelCase_							):
								lowerCamelCase			=new_src_lang
								self.set_src_lang_special_tokens(self._src_lang							)


				def _snake_case    (						self				,	UpperCAmelCase_				,	UpperCAmelCase_ = None							):
								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				,	UpperCAmelCase_				,	UpperCAmelCase_ = None							):
								lowerCamelCase			=[self.sep_token_id]
								lowerCamelCase			=[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 _snake_case    (						self				,	UpperCAmelCase_				,	UpperCAmelCase_				,	UpperCAmelCase_				,	UpperCAmelCase_				,	**UpperCAmelCase_							):
								if src_lang is None or tgt_lang is None:
												raise ValueError("""Translation requires a `src_lang` and a `tgt_lang` for this model"""							)
								lowerCamelCase			=src_lang
								lowerCamelCase			=self(UpperCAmelCase_				,	add_special_tokens=UpperCAmelCase_				,	return_tensors=UpperCAmelCase_				,	**UpperCAmelCase_							)
								lowerCamelCase			=self.convert_tokens_to_ids(UpperCAmelCase_							)
								lowerCamelCase			=tgt_lang_id
								return inputs


				def _snake_case    (						self				,	UpperCAmelCase_				,	UpperCAmelCase_ = "eng_Latn"				,	UpperCAmelCase_ = None				,	UpperCAmelCase_ = "fra_Latn"				,	**UpperCAmelCase_				,	):
								lowerCamelCase			=src_lang
								lowerCamelCase			=tgt_lang
								return super().prepare_seqaseq_batch(UpperCAmelCase_				,	UpperCAmelCase_				,	**UpperCAmelCase_							)


				def _snake_case    (						self							):
								return self.set_src_lang_special_tokens(self.src_lang							)


				def _snake_case    (						self							):
								return self.set_tgt_lang_special_tokens(self.tgt_lang							)


				def _snake_case    (						self				,	UpperCAmelCase_							):
								lowerCamelCase			=self.convert_tokens_to_ids(UpperCAmelCase_							)

								if self.legacy_behaviour:
												lowerCamelCase			=[]
												lowerCamelCase			=[self.eos_token_id, self.cur_lang_code]
								else:
												lowerCamelCase			=[self.cur_lang_code]
												lowerCamelCase			=[self.eos_token_id]

								lowerCamelCase			=self.convert_ids_to_tokens(self.prefix_tokens							)
								lowerCamelCase			=self.convert_ids_to_tokens(self.suffix_tokens							)

								lowerCamelCase			=processors.TemplateProcessing(
								    single=prefix_tokens_str + ["""$A"""] + suffix_tokens_str				,	pair=prefix_tokens_str + ["""$A""", """$B"""] + suffix_tokens_str				,	special_tokens=list(zip(prefix_tokens_str + suffix_tokens_str				,	self.prefix_tokens + self.suffix_tokens							)							)				,	)


				def _snake_case    (						self				,	UpperCAmelCase_							):
								lowerCamelCase			=self.convert_tokens_to_ids(UpperCAmelCase_							)
								if self.legacy_behaviour:
												lowerCamelCase			=[]
												lowerCamelCase			=[self.eos_token_id, self.cur_lang_code]
								else:
												lowerCamelCase			=[self.cur_lang_code]
												lowerCamelCase			=[self.eos_token_id]

								lowerCamelCase			=self.convert_ids_to_tokens(self.prefix_tokens							)
								lowerCamelCase			=self.convert_ids_to_tokens(self.suffix_tokens							)

								lowerCamelCase			=processors.TemplateProcessing(
								    single=prefix_tokens_str + ["""$A"""] + suffix_tokens_str				,	pair=prefix_tokens_str + ["""$A""", """$B"""] + suffix_tokens_str				,	special_tokens=list(zip(prefix_tokens_str + suffix_tokens_str				,	self.prefix_tokens + self.suffix_tokens							)							)				,	)


				def _snake_case    (						self				,	UpperCAmelCase_				,	UpperCAmelCase_ = None							):
								if not self.can_save_slow_tokenizer:
												raise ValueError(
												    """Your fast tokenizer does not have the necessary information to save the vocabulary for a slow """
												    """tokenizer."""							)

								if not os.path.isdir(UpperCAmelCase_							):
												logger.error(f"""Vocabulary path ({save_directory}) should be a directory."""							)
												return
								lowerCamelCase			=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_							):
												copyfile(self.vocab_file				,	UpperCAmelCase_							)

								return (out_vocab_file,)





