




import unittest

from transformers import is_flax_available
from transformers.testing_utils import require_flax, require_sentencepiece, require_tokenizers, require_torch, slow


if is_flax_available():
		import optax
		from flax.training.common_utils import onehot

		from transformers import AutoTokenizer, FlaxMTaForConditionalGeneration
		from transformers.models.ta.modeling_flax_ta import shift_tokens_right
@require_torch
@require_sentencepiece
@require_tokenizers
@require_flax
class 		UpperCAmelCase   (				unittest.TestCase			):







						'''simple docstring'''





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






							"""simple docstring"""






							snake_case_		    =     FlaxMTaForConditionalGeneration.from_pretrained("google/mt5-small"						)
							snake_case_		    =     AutoTokenizer.from_pretrained("google/mt5-small"						)

							snake_case_		    =     tokenizer("Hello there"       ,	return_tensors="np"						).input_ids
							snake_case_		    =     tokenizer("Hi I am"       ,	return_tensors="np"						).input_ids

							snake_case_		    =     shift_tokens_right(__lowercase       ,	model.config.pad_token_id       ,	model.config.decoder_start_token_id						)

							snake_case_		    =     model(__lowercase       ,	decoder_input_ids=__lowercase						).logits
							snake_case_		    =     optax.softmax_cross_entropy(__lowercase       ,	onehot(__lowercase       ,	logits.shape[-1]						)						).mean()

							snake_case_		    =     -(labels.shape[-1] * loss.item())

							snake_case_		    =     -84.9127
							self.assertTrue(abs(mtf_score - EXPECTED_SCORE						) < 1E-4						)






import functools


def 						lowerCamelCase__    (		_A     ,	_A							):







	'''simple docstring'''





	if not isinstance(_A     ,	_A							) or not all(isinstance(_A     ,	_A							) for day in days							):
		raise ValueError("The parameter days should be a list of integers"							)

	if len(_A							) != 3 or not all(isinstance(_A     ,	_A							) for cost in costs							):
		raise ValueError("The parameter costs should be a list of three integers"							)

	if len(_A							) == 0:
		return 0

	if min(_A							) <= 0:
		raise ValueError("All days elements should be greater than 0"							)

	if max(_A							) >= 366:
		raise ValueError("All days elements should be less than 366"							)

	snake_case_		    =     set(_A							)

	@functools.cache
	def dynamic_programming(_A							) -> int:
		if index > 365:
			return 0

		if index not in days_set:
			return dynamic_programming(index + 1							)

		return min(
		    costs[0] + dynamic_programming(index + 1							)     ,	costs[1] + dynamic_programming(index + 7							)     ,	costs[2] + dynamic_programming(index + 30							)     ,	)

	return dynamic_programming(1							)


if __name__ == "__main__":
		import doctest

		doctest.testmod()
