





import unittest

from datasets import load_dataset

from transformers import load_tool

from .test_tools_common import ToolTesterMixin





class 	lowerCAmelCase__(       unittest.TestCase     ,   __lowercase			):






       '''simple docstring'''


       def 			UpperCamelCase_	(					self							)	->   Tuple:
            _SCREAMING_SNAKE_CASE				:		Optional[int]  			=							load_tool("document-question-answering"							)
            self.tool.setup()
            _SCREAMING_SNAKE_CASE				:		Dict  			=							load_tool("document-question-answering"			,  remote=__lowerCamelCase							)




       def 			UpperCamelCase_	(					self							)	->   Any:
            _SCREAMING_SNAKE_CASE				:		List[Any]  			=							load_dataset("hf-internal-testing/example-documents"			,  split="test"							)
            _SCREAMING_SNAKE_CASE				:		Optional[int]  			=							dataset[0]["image"]

            _SCREAMING_SNAKE_CASE				:		Tuple  			=							self.tool(__lowerCamelCase			,  "When is the coffee break?"							)
            self.assertEqual(__lowerCamelCase			,  "11-14 to 11:39 a.m."							)




       def 			UpperCamelCase_	(					self							)	->   Any:
            _SCREAMING_SNAKE_CASE				:		Optional[int]  			=							load_dataset("hf-internal-testing/example-documents"			,  split="test"							)
            _SCREAMING_SNAKE_CASE				:		List[Any]  			=							dataset[0]["image"]

            _SCREAMING_SNAKE_CASE				:		Tuple  			=							self.remote_tool(__lowerCamelCase			,  "When is the coffee break?"							)
            self.assertEqual(__lowerCamelCase			,  "11-14 to 11:39 a.m."							)




       def 			UpperCamelCase_	(					self							)	->   Dict:
            _SCREAMING_SNAKE_CASE				:		Optional[Any]  			=							load_dataset("hf-internal-testing/example-documents"			,  split="test"							)
            _SCREAMING_SNAKE_CASE				:		List[Any]  			=							dataset[0]["image"]

            self.tool(document=__lowerCamelCase			,  question="When is the coffee break?"							)







       def 			UpperCamelCase_	(					self							)	->   Optional[Any]:
            _SCREAMING_SNAKE_CASE				:		Optional[Any]  			=							load_dataset("hf-internal-testing/example-documents"			,  split="test"							)
            _SCREAMING_SNAKE_CASE				:		Optional[Any]  			=							dataset[0]["image"]

            _SCREAMING_SNAKE_CASE				:		Any  			=							self.remote_tool(document=__lowerCamelCase			,  question="When is the coffee break?"							)
            self.assertEqual(__lowerCamelCase			,  "11-14 to 11:39 a.m."							)







from __future__ import annotations

from collections.abc import Generator

def    lowerCAmelCase__		(			_a				:	int			):
		if not isinstance(_a     ,					_a			) or n < 1:
				raise Exception("Sequence only defined for positive integers"			)

		yield n
		while n != 1:
				if n % 2 == 0:
						n //= 2
				else:
						snake_case_ :							List[str]         =				3 * n + 1
				yield n

def    lowerCAmelCase__		(			):
		snake_case_ :							Optional[int]         =				43
		snake_case_ :							Union[str, Any]         =				tuple(collatz_sequence(_a			)			)
		print(_a			)
		print(F'''Collatz sequence from {n} took {len(_a			)} steps.'''			)


if __name__ == "__main__":
							main()
