



"""simple docstring"""
from __future__ import annotations


def 			_SCREAMING_SNAKE_CASE						(__lowerCAmelCase ,  __lowerCAmelCase = None							) ->						List[Any]:







		'''simple docstring'''


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

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

		# iterate through the indices
		for i in range(__lowerCAmelCase							):
				# condition
				if table[i] != []:
						for word in word_bank:
								# slice condition
								if target[i : i + len(__lowerCAmelCase							)] == word:
										lowercase_								= [
										    [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(__lowerCAmelCase							)] += new_combinations

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

		return table[len(__lowerCAmelCase							)]


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"""
from typing import TYPE_CHECKING

from ...utils import _LazyModule


UpperCAmelCase						:		List[Any]			= {"tokenization_bertweet": ["BertweetTokenizer"]}


if TYPE_CHECKING:
       from .tokenization_bertweet import BertweetTokenizer

else:
       import sys

       UpperCAmelCase						:		Tuple			= _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)

