


"""simple docstring"""


from __future__ import annotations


def _lowerCamelCase      (						_UpperCamelCase       ,					_UpperCamelCase = None ):

			'''simple docstring'''




			__lowerCAmelCase							       =     word_bank or []
			# create a table
			__lowerCAmelCase							       =     len(_UpperCamelCase ) + 1

			__lowerCAmelCase							       =     []
			for _ in range(_UpperCamelCase ):
						table.append([] )
			# seed value
			__lowerCAmelCase							       =     [[]]  # because empty string has empty combination

			# iterate through the indices
			for i in range(_UpperCamelCase ):
						# condition
						if table[i] != []:
									for word in word_bank:
												# slice condition
												if target[i : i + len(_UpperCamelCase )] == word:
															__lowerCAmelCase							       =     [
															    [word, *way] for way in table[i]
															]
															# adds the word to every combination the current position holds
															# now,push that combination to the table[i+len(word)]
															table[i + len(_UpperCamelCase )] += new_combinations

    # combinations are in reverse order so reverse for better output
			for combination in table[len(_UpperCamelCase )]:
						combination.reverse()

			return table[len(_UpperCamelCase )]


if __name__ == "__main__":
	print(all_construct("jwajalapa", ["jwa", "j", "w", "a", "la", "lapa"]))
	print(all_construct("rajamati", ["s", "raj", "amat", "raja", "ma", "i", "t"]))
	print(
	    all_construct(
	        "hexagonosaurus",
	        ["h", "ex", "hex", "ag", "ago", "ru", "auru", "rus", "go", "no", "o", "s"],
	    )
	)








"""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.activations import gelu_new, gelu_python, get_activation
@require_torch
class     _UpperCamelCase    (  unittest.TestCase						):
							'''simple docstring'''







							def      snake_case							(	self      ):
										__lowerCAmelCase							       =     torch.tensor([-1_00, -1, -0.1, 0, 0.1, 1.0, 1_00]      )
										__lowerCAmelCase							       =     get_activation("gelu"      )
										self.assertTrue(torch.allclose(gelu_python(__a      )       ,  torch_builtin(__a      )      )      )
										self.assertFalse(torch.allclose(gelu_python(__a      )       ,  gelu_new(__a      )      )      )

							def      snake_case							(	self      ):
										__lowerCAmelCase							       =     torch.tensor([-1_00, -1, -0.1, 0, 0.1, 1.0, 1_00]      )
										__lowerCAmelCase							       =     get_activation("gelu"      )
										__lowerCAmelCase							       =     get_activation("gelu_10"      )

										__lowerCAmelCase							       =     torch_builtin(__a      )
										__lowerCAmelCase							       =     geluaa(__a      )

										__lowerCAmelCase							       =     torch.where(y_gelu_aa < 1_0.0       ,  1       ,  0      )

										self.assertTrue(torch.max(__a      ).item() == 1_0.0      )
										self.assertTrue(torch.allclose(y_gelu * clipped_mask       ,  y_gelu_aa * clipped_mask      )      )

							def      snake_case							(	self      ):
										get_activation("gelu"      )
										get_activation("gelu_10"      )
										get_activation("gelu_fast"      )
										get_activation("gelu_new"      )
										get_activation("gelu_python"      )
										get_activation("gelu_pytorch_tanh"      )
										get_activation("linear"      )
										get_activation("mish"      )
										get_activation("quick_gelu"      )
										get_activation("relu"      )
										get_activation("sigmoid"      )
										get_activation("silu"      )
										get_activation("swish"      )
										get_activation("tanh"      )
										with self.assertRaises(__a      ):
													get_activation("bogus"      )
										with self.assertRaises(__a      ):
													get_activation(__a      )



							def      snake_case							(	self      ):
										__lowerCAmelCase							       =     get_activation("gelu"      )
										__lowerCAmelCase							       =     1
										__lowerCAmelCase							       =     get_activation("gelu"      )
										self.assertEqual(acta.a       ,  1      )
										with self.assertRaises(__a      ):
													__lowerCAmelCase							       =     acta.a




