



'''simple docstring'''

import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_torch


if is_torch_available():
		import torch

		from transformers.generation import DisjunctiveConstraint



@require_torch
class 		lowerCamelCase__      (						unittest.TestCase     ):




	'''simple docstring'''



	def 						__UpperCAmelCase     (  self				:	int					)  ->       List[str]:



		'''simple docstring'''





		_lowercase					:       Optional[int]       =		[[1, 2, 4], [1, 2, 3, 4]]
		_lowercase					:       Tuple       =		DisjunctiveConstraint(UpperCamelCase_					)
		self.assertTrue(isinstance(dc.token_ids     ,  UpperCamelCase_					)					)

		with self.assertRaises(UpperCamelCase_					):
			DisjunctiveConstraint(torch.LongTensor([[1, 2, 4], [1, 2, 3]]					)					)

		with self.assertRaises(UpperCamelCase_					):
			DisjunctiveConstraint([torch.LongTensor([1, 2, 4]					), torch.LongTensor([1, 2, 3, 4, 5]					)]					)




	def 						__UpperCAmelCase     (  self				:	List[Any]					)  ->       Optional[Any]:



		'''simple docstring'''





		_lowercase					:       Union[str, Any]       =		[[1, 2], [1, 2, 3, 4]]

		with self.assertRaises(UpperCamelCase_					):
			DisjunctiveConstraint(UpperCamelCase_					)  # fails here




	def 						__UpperCAmelCase     (  self				:	List[Any]					)  ->       List[Any]:



		'''simple docstring'''





		_lowercase					:       List[Any]       =		[[1, 2, 3], [1, 2, 4]]

		_lowercase					:       Optional[int]       =		DisjunctiveConstraint(UpperCamelCase_					)

		_lowercase					:       Any       =		dc.update(1					)
		_lowercase					:       Dict       =		stepped is True and completed is False and reset is False
		self.assertTrue(UpperCamelCase_					)
		self.assertTrue(not dc.completed					)
		self.assertTrue(dc.current_seq == [1]					)

		_lowercase					:       Dict       =		dc.update(2					)
		_lowercase					:       int       =		stepped is True and completed is False and reset is False
		self.assertTrue(UpperCamelCase_					)
		self.assertTrue(not dc.completed					)
		self.assertTrue(dc.current_seq == [1, 2]					)

		_lowercase					:       Optional[int]       =		dc.update(3					)
		_lowercase					:       str       =		stepped is True and completed is True and reset is False
		self.assertTrue(UpperCamelCase_					)
		self.assertTrue(dc.completed					)  # Completed!
		self.assertTrue(dc.current_seq == [1, 2, 3]					)




	def 						__UpperCAmelCase     (  self				:	str					)  ->       List[Any]:



		'''simple docstring'''





		_lowercase					:       str       =		[[1, 2, 3], [1, 2, 4, 5], [1, 2, 5]]

		_lowercase					:       Union[str, Any]       =		DisjunctiveConstraint(UpperCamelCase_					)

		_lowercase					:       Dict       =		dc.update(1					)
		self.assertTrue(not dc.completed					)
		self.assertTrue(dc.current_seq == [1]					)

		_lowercase					:       List[str]       =		dc.update(2					)
		self.assertTrue(not dc.completed					)
		self.assertTrue(dc.current_seq == [1, 2]					)

		_lowercase					:       int       =		dc.update(4					)
		self.assertTrue(not dc.completed					)
		self.assertTrue(dc.current_seq == [1, 2, 4]					)

		_lowercase					:       List[Any]       =		dc.update(5					)
		self.assertTrue(dc.completed					)  # Completed!
		self.assertTrue(dc.current_seq == [1, 2, 4, 5]					)

		dc.reset()

		_lowercase					:       Dict       =		dc.update(1					)
		self.assertTrue(not dc.completed					)
		self.assertTrue(dc.remaining() == 3					)
		self.assertTrue(dc.current_seq == [1]					)

		_lowercase					:       Optional[Any]       =		dc.update(2					)
		self.assertTrue(not dc.completed					)
		self.assertTrue(dc.remaining() == 2					)
		self.assertTrue(dc.current_seq == [1, 2]					)

		_lowercase					:       Any       =		dc.update(5					)
		self.assertTrue(dc.completed					)  # Completed!
		self.assertTrue(dc.remaining() == 0					)
		self.assertTrue(dc.current_seq == [1, 2, 5]					)





'''simple docstring'''

def 						__UpperCamelCase				(							_lowercase,				_lowercase					) ->			list:
	_lowercase					:       List[str]       =		word.split()

	def justify(_lowercase,				_lowercase,				_lowercase					) -> str:
		_lowercase					:       Dict       =		max_width - width
		_lowercase					:       Tuple       =		len(_lowercase					)
		if len(_lowercase					) == 1:
			# if there is only word in line
			# just insert overall_spaces_count for the remainder of line
			return line[0] + " " * overall_spaces_count
		else:
			_lowercase					:       Tuple       =		words_count - 1
			# num_spaces_between_words_list[i] : tells you to insert
			# num_spaces_between_words_list[i] spaces
			# after word on line[i]
			_lowercase					:       str       =		spaces_to_insert_between_words * [
			    overall_spaces_count // spaces_to_insert_between_words
			]
			_lowercase					:       Optional[int]       =		(
			    overall_spaces_count % spaces_to_insert_between_words
			)
			# distribute spaces via round robin to the left words
			for i in range(_lowercase					):
				num_spaces_between_words_list[i] += 1
			_lowercase					:       Union[str, Any]       =		[]
			for i in range(_lowercase					):
				# add the word
				aligned_words_list.append(line[i]					)
				# add the spaces to insert
				aligned_words_list.append(num_spaces_between_words_list[i] * ' '					)
			# just add the last word to the sentence
			aligned_words_list.append(line[-1]					)
			# join the aligned words list to form a justified line
			return "".join(_lowercase					)

	_lowercase					:       str       =		[]
	_lowercase					:       list[str]       =		[]
	_lowercase					:       Union[str, Any]       =		0
	for word in words:
		if width + len(_lowercase					) + len(_lowercase					) <= max_width:
			# keep adding words until we can fill out max_width
			# width = sum of length of all words (without overall_spaces_count)
			# len(word) = length of current word
			# len(line) = number of overall_spaces_count to insert between words
			line.append(_lowercase					)
			width += len(_lowercase					)
		else:
			# justify the line and add it to result
			answer.append(justify(_lowercase,				_lowercase,				_lowercase					)					)
			# reset new line and new width
			_lowercase  ,    _lowercase					:       Optional[Any]       =		[word], len(_lowercase					)
	_lowercase					:       Optional[int]       =		max_width - width - len(_lowercase					)
	answer.append(' '.join(_lowercase					) + (remaining_spaces + 1) * ' '					)
	return answer


if __name__ == "__main__":
		from doctest import testmod

		testmod()
