
import unittest

from transformers import load_tool

from .test_tools_common import ToolTesterMixin


UpperCamelCase_						:     List[Any]	       =							"""
Hugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf originally as a company that developed a chatbot app targeted at teenagers.[2] After open-sourcing the model behind the chatbot, the company pivoted to focus on being a platform for machine learning.

In March 2021, Hugging Face raised $40 million in a Series B funding round.[3]

On April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model.[4] In 2022, the workshop concluded with the announcement of BLOOM, a multilingual large language model with 176 billion parameters.[5]
"""




class   __lowercase						(						unittest.TestCase   , __snake_case       ):






	def       _a(self				: Union[str, Any]    ) ->			List[Any]:
							_lowercase       :	List[Any]           =   load_tool("text-question-answering"    )
							self.tool.setup()
							_lowercase       :	List[str]           =   load_tool("text-question-answering"      ,	remote=snake_case    )






	def       _a(self				: List[str]    ) ->			Dict:
							_lowercase       :	Dict           =   self.tool(snake_case      ,	"What did Hugging Face do in April 2021?"    )
							self.assertEqual(snake_case      ,	"launched the BigScience Research Workshop"    )






	def       _a(self				: List[str]    ) ->			Any:
							_lowercase       :	Optional[int]           =   self.remote_tool(snake_case      ,	"What did Hugging Face do in April 2021?"    )
							self.assertEqual(snake_case      ,	"launched the BigScience Research Workshop"    )






	def       _a(self				: Any    ) ->			Optional[int]:
							_lowercase       :	Tuple           =   self.tool(text=snake_case      ,	question="What did Hugging Face do in April 2021?"    )
							self.assertEqual(snake_case      ,	"launched the BigScience Research Workshop"    )






	def       _a(self				: Optional[int]    ) ->			Union[str, Any]:
							_lowercase       :	Optional[Any]           =   self.remote_tool(text=snake_case      ,	question="What did Hugging Face do in April 2021?"    )
							self.assertEqual(snake_case      ,	"launched the BigScience Research Workshop"    )






from __future__ import annotations



def 		UpperCamelCase     (       _UpperCAmelCase  :   str ,			_UpperCAmelCase  :   list[str] | None = None  )   ->			list[list[str]]:






						'''simple docstring'''

						_lowercase       :	Dict           =   word_bank or []
						# create a table
						_lowercase       :	int           =   len(_UpperCAmelCase  ) + 1

						_lowercase       :	list[list[list[str]]]           =   []
						for _ in range(_UpperCAmelCase  ):
												table.append([]  )
						# seed value
						_lowercase       :	Optional[int]           =   [[]]  # 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:
																														_lowercase       :	list[list[str]]           =   [
																														    [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"""],
							    )
							)




