





"""simple docstring"""





from transformers import SqueezeBertTokenizer, SqueezeBertTokenizerFast
from transformers.testing_utils import require_tokenizers, slow

from ..bert.test_tokenization_bert import BertTokenizationTest





@require_tokenizers
class 							_lowerCamelCase   (							_lowercase			):
						UpperCAmelCase_			=      SqueezeBertTokenizer
						UpperCAmelCase_			=      SqueezeBertTokenizerFast
						UpperCAmelCase_			=      True


						def      snake_case_ (self ,				**__a		)			-> Optional[int]:
								return SqueezeBertTokenizerFast.from_pretrained(self.tmpdirname ,				**__a		)




						@slow
						def      snake_case_ (self		)			-> Tuple:
								UpperCamelCase =						SqueezeBertTokenizer.from_pretrained("squeezebert/squeezebert-mnli-headless"		)

								UpperCamelCase =						tokenizer.encode("sequence builders" ,				add_special_tokens=__a		)
								UpperCamelCase =						tokenizer.encode("multi-sequence build" ,				add_special_tokens=__a		)

								UpperCamelCase =						tokenizer.build_inputs_with_special_tokens(__a		)
								UpperCamelCase =						tokenizer.build_inputs_with_special_tokens(__a ,				__a		)

								assert encoded_sentence == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id]
								assert encoded_pair == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id] + text_a + [
								    tokenizer.sep_token_id
								]













"""simple docstring"""





def    a__       (       _SCREAMING_SNAKE_CASE	,						_SCREAMING_SNAKE_CASE     ):




		"""simple docstring"""


		UpperCamelCase =						sorted(_SCREAMING_SNAKE_CASE	,						key=lambda _SCREAMING_SNAKE_CASE     : value[2]	,						reverse=_SCREAMING_SNAKE_CASE     )

		# Create a list of size equal to the maximum deadline
		# and initialize it with -1
		UpperCamelCase =						max(_SCREAMING_SNAKE_CASE	,						key=lambda _SCREAMING_SNAKE_CASE     : value[1]     )[1]
		UpperCamelCase =						[-1] * max_deadline

		# Finding the maximum profit and the count of jobs
		UpperCamelCase =						0
		UpperCamelCase =						0
		for job in jobs:
				# Find a free time slot for this job
				# (Note that we start from the last possible slot)
				for i in range(job[1] - 1	,						-1	,						-1     ):
						if time_slots[i] == -1:
								UpperCamelCase =						job[0]
								count += 1
								max_profit += job[2]
								break
		return [count, max_profit]


if __name__ == "__main__":
						import doctest

						doctest.testmod()






