

def        SCREAMING_SNAKE_CASE__	(  lowerCamelCase__ = 1_0     ,			lowerCamelCase__ = 1_0_0_0     ,			lowerCamelCase__ = True      )  ->					int:
	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        SCREAMING_SNAKE_CASE__	(  lowerCamelCase__     ,			lowerCamelCase__      )  ->					int:
	return int((number_a + number_a) / 2      )






def        SCREAMING_SNAKE_CASE__	(  lowerCamelCase__     ,			lowerCamelCase__     ,			lowerCamelCase__      )  ->					None:
	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...'      )

	__lowerCamelCase    :    Optional[int] 	=			lower
	__lowerCamelCase    :    Optional[int] 	=			higher

	__lowerCamelCase    :    str 	=			[]

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

		if answer(lowerCamelCase__      ) == "low":
			__lowerCamelCase    :    int 	=			number
		elif answer(lowerCamelCase__      ) == "high":
			__lowerCamelCase    :    Any 	=			number
		else:
			break

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






def        SCREAMING_SNAKE_CASE__	(  )  ->					None:
	__lowerCamelCase    :    Any 	=			int(input('Enter lower value : '      ).strip()      )
	__lowerCamelCase    :    Optional[int] 	=			int(input('Enter high value : '      ).strip()      )
	__lowerCamelCase    :    Tuple 	=			int(input('Enter value to guess : '      ).strip()      )
	guess_the_number(lowerCamelCase__     ,			lowerCamelCase__     ,			lowerCamelCase__      )


if __name__ == "__main__":
					main()







from __future__ import annotations

import unittest

from transformers import is_tf_available
from transformers.testing_utils import require_sentencepiece, require_tf, require_tokenizers, slow


if is_tf_available():
					import numpy as np
					import tensorflow as tf

					from transformers import TFCamembertModel






@require_tf
@require_sentencepiece
@require_tokenizers
class 	A_		(	unittest.TestCase    ):
							@slow
							def    lowerCAmelCase					(		self		:      Optional[int]):
								__lowerCamelCase    :    Tuple 	=			TFCamembertModel.from_pretrained('jplu/tf-camembert-base')

								__lowerCamelCase    :    str 	=			tf.convert_to_tensor(
								    [[5, 1_2_1, 1_1, 6_6_0, 1_6, 7_3_0, 2_5_5_4_3, 1_1_0, 8_3, 6]]       ,dtype=tf.intaa       ,)  # J'aime le camembert !"

								__lowerCamelCase    :    int 	=			model(SCREAMING_SNAKE_CASE__)['last_hidden_state']
								__lowerCamelCase    :    Dict 	=			tf.TensorShape((1, 1_0, 7_6_8))
								self.assertEqual(output.shape       ,SCREAMING_SNAKE_CASE__)
								# compare the actual values for a slice.
								__lowerCamelCase    :    Any 	=			tf.convert_to_tensor(
								    [[[-0.0254, 0.0235, 0.1027], [0.0606, -0.1811, -0.0418], [-0.1561, -0.1127, 0.2687]]]       ,dtype=tf.floataa       ,)
								# camembert = torch.hub.load('pytorch/fairseq', 'camembert.v0')
								# camembert.eval()
								# expected_slice = roberta.model.forward(input_ids)[0][:, :3, :3].detach()

								self.assertTrue(np.allclose(output[:, :3, :3].numpy()       ,expected_slice.numpy()       ,atol=1E-4))




