



def  __lowerCamelCase (       lowerCamelCase__ = 10					,			lowerCamelCase__ = 1_000					,			lowerCamelCase__ = True						):

				"""simple docstring"""


				assert (
				    isinstance(lowerCamelCase__					,			lowerCamelCase__						)
				    and isinstance(lowerCamelCase__					,			lowerCamelCase__						)
				    and isinstance(lowerCamelCase__					,			lowerCamelCase__						)
				), "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  __lowerCamelCase (       lowerCamelCase__					,			lowerCamelCase__						):

				"""simple docstring"""


				return int((number_a + number_a) / 2						)


def  __lowerCamelCase (       lowerCamelCase__					,			lowerCamelCase__					,			lowerCamelCase__						):

				"""simple docstring"""


				assert (
				    isinstance(lowerCamelCase__					,			lowerCamelCase__						) and isinstance(lowerCamelCase__					,			lowerCamelCase__						) and isinstance(lowerCamelCase__					,			lowerCamelCase__						)
				), '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(lowerCamelCase__						) -> str:
								if number > to_guess:
												return "high"
								elif number < to_guess:
												return "low"
								else:
												return "same"

				print("started..."						)

				lowercase__					:   str													=					lower
				lowercase__					:   List[Any]													=					higher

				lowercase__					:   List[str]													=					[]

				while True:
								lowercase__					:   Any													=					get_avg(lowerCamelCase__					,			lowerCamelCase__						)
								last_numbers.append(lowerCamelCase__						)

								if answer(lowerCamelCase__						) == "low":
												lowercase__					:   Dict													=					number
								elif answer(lowerCamelCase__						) == "high":
												lowercase__					:   List[str]													=					number
								else:
												break

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


def  __lowerCamelCase (       ):

				"""simple docstring"""


				lowercase__					:   Dict													=					int(input("Enter lower value : "						).strip()						)
				lowercase__					:   int													=					int(input("Enter high value : "						).strip()						)
				lowercase__					:   Any													=					int(input("Enter value to guess : "						).strip()						)
				guess_the_number(lowerCamelCase__					,			lowerCamelCase__					,			lowerCamelCase__						)


if __name__ == "__main__":
				main()









from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_tokenizers_available,
    is_torch_available,
)


lowerCAmelCase__					  =  {}

try:
				if not is_sentencepiece_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				lowerCAmelCase__					  =  ['''NllbTokenizer''']

try:
				if not is_tokenizers_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				lowerCAmelCase__					  =  ['''NllbTokenizerFast''']


if TYPE_CHECKING:
				try:
								if not is_sentencepiece_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .tokenization_nllb import NllbTokenizer

				try:
								if not is_tokenizers_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .tokenization_nllb_fast import NllbTokenizerFast

else:
				import sys

				lowerCAmelCase__					  =  _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)




