
import torch

from transformers import AutoTokenizer
class      A__       (						__lowerCamelCase    ):





							def __init__(			self  :       Optional[int]					,			_UpperCAmelCase  :       int    )						->		Dict:



											"""simple docstring"""


											__lowercase								= AutoTokenizer.from_pretrained(_UpperCamelCase    )





							def       a__			(			self  :       Any					,			_UpperCAmelCase  :       int    )						->		str:



											"""simple docstring"""


											if isinstance(_UpperCamelCase					,			_UpperCamelCase    ) and all(isinstance(_x					,			_UpperCamelCase    ) for _x in x    ):
															__lowercase								= None
															for l in x:
																			__lowercase								= self.tokenizer(
																			    _UpperCamelCase					,			padding='max_length'					,			max_length=3_84					,			truncation=_UpperCamelCase					,			return_tensors='pt'					,			)
																			__lowercase								= torch.tensor([len(_UpperCamelCase    )]    )
																			if d is not None:
																							for k in d.keys():
																											__lowercase								= torch.cat((d[k], t[k])					,			0    )
																			else:
																							__lowercase								= t

															__lowercase								= torch.tensor(self.tokenizer.convert_tokens_to_ids('[E]'    )    )
															__lowercase								= torch.tensor(self.tokenizer.convert_tokens_to_ids('[/E]'    )    )

											elif isinstance(_UpperCamelCase					,			_UpperCamelCase    ) and all(isinstance(_x					,			_UpperCamelCase    ) for _x in x    ):
															__lowercase								= self.tokenizer(
															    _UpperCamelCase					,			padding='max_length'					,			max_length=3_84					,			truncation=_UpperCamelCase					,			return_tensors='pt'					,			)

											else:
															raise Exception(
															    'Type of parameter x was not recognized! Only `list of strings` for query or `list of lists of'
															    ' strings` for supports are supported.'    )

											return d





							def       a__			(			self  :       str					,			_UpperCAmelCase  :       str					,			_UpperCAmelCase  :       Tuple					,			_UpperCAmelCase  :       Optional[Any]					,			_UpperCAmelCase  :       List[Any]					,			_UpperCAmelCase  :       List[Any]=0.70    )						->		List[str]:



											"""simple docstring"""


											__lowercase								= []
											for idx in range(len(W_query['input_ids']    )    ):
															__lowercase								= __lowercase								= range(p_start.shape[1]    )

															__lowercase								= []
															for start_id in start_indexes:
																			for end_id in end_indexes:
																							if start_id < end_id:
																											output.append(
																											    (
																											        start_id,
																											        end_id,
																											        p_start[idx][start_id].item(),
																											        p_end[idx][end_id].item(),
																											    )    )

															output.sort(key=lambda _UpperCAmelCase    : (tup[2] * tup[3])					,			reverse=_UpperCamelCase    )
															__lowercase								= []
															for k in range(len(_UpperCamelCase    )    ):
																			if output[k][2] * output[k][3] >= thresh:
																							__lowercase		, __lowercase								= output[k][0], output[k][1]
																							__lowercase								= self.tokenizer.decode(W_query['input_ids'][idx][c_start_pos:c_end_pos]    )
																							temp.append((decoded, output[k][2] * output[k][3])    )

															final_outputs.append(_UpperCamelCase    )

											return final_outputs







import unittest

from transformers import load_tool
from transformers.tools.agent_types import AGENT_TYPE_MAPPING

from .test_tools_common import ToolTesterMixin, output_types
class      A__       (						unittest.TestCase   ,						lowerCAmelCase__    ):





							def       a__			(			self  :       Any    )						->		Dict:



											"""simple docstring"""


											__lowercase								= load_tool('translation'    )
											self.tool.setup()
											__lowercase								= load_tool('translation'					,			remote=_UpperCAmelCase    )





							def       a__			(			self  :       int    )						->		Optional[Any]:



											"""simple docstring"""


											__lowercase								= self.tool('Hey, what\'s up?'					,			src_lang='English'					,			tgt_lang='French'    )
											self.assertEqual(_UpperCAmelCase					,			'- Hé, comment ça va?'    )





							def       a__			(			self  :       Tuple    )						->		Optional[int]:



											"""simple docstring"""


											__lowercase								= self.remote_tool('Hey, what\'s up?'					,			src_lang='English'					,			tgt_lang='French'    )
											self.assertEqual(_UpperCAmelCase					,			'- Hé, comment ça va?'    )





							def       a__			(			self  :       Union[str, Any]    )						->		Tuple:



											"""simple docstring"""


											__lowercase								= self.tool(text='Hey, what\'s up?'					,			src_lang='English'					,			tgt_lang='French'    )
											self.assertEqual(_UpperCAmelCase					,			'- Hé, comment ça va?'    )





							def       a__			(			self  :       Tuple    )						->		Optional[Any]:



											"""simple docstring"""


											__lowercase								= self.remote_tool(text='Hey, what\'s up?'					,			src_lang='English'					,			tgt_lang='French'    )
											self.assertEqual(_UpperCAmelCase					,			'- Hé, comment ça va?'    )





							def       a__			(			self  :       List[Any]    )						->		int:



											"""simple docstring"""


											__lowercase								= ['Hey, what\'s up?', 'English', 'Spanish']
											__lowercase								= self.tool(*_UpperCAmelCase    )

											# There is a single output
											if len(self.tool.outputs    ) == 1:
															__lowercase								= [outputs]

											self.assertListEqual(output_types(_UpperCAmelCase    )					,			self.tool.outputs    )





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



											"""simple docstring"""


											__lowercase								= ['Hey, what\'s up?', 'English', 'Spanish']
											__lowercase								= self.tool(*_UpperCAmelCase    )

											if not isinstance(_UpperCAmelCase					,			_UpperCAmelCase    ):
															__lowercase								= [outputs]

											self.assertEqual(len(_UpperCAmelCase    )					,			len(self.tool.outputs    )    )

											for output, output_type in zip(_UpperCAmelCase					,			self.tool.outputs    ):
															__lowercase								= AGENT_TYPE_MAPPING[output_type]
															self.assertTrue(isinstance(_UpperCAmelCase					,			_UpperCAmelCase    )    )





							def       a__			(			self  :       Tuple    )						->		List[Any]:



											"""simple docstring"""


											__lowercase								= ['Hey, what\'s up?', 'English', 'Spanish']

											__lowercase								= []

											for _input, input_type in zip(_UpperCAmelCase					,			self.tool.inputs    ):
															if isinstance(_UpperCAmelCase					,			_UpperCAmelCase    ):
																			_inputs.append([AGENT_TYPE_MAPPING[_input_type](_input    ) for _input_type in input_type]    )
															else:
																			_inputs.append(AGENT_TYPE_MAPPING[input_type](_input    )    )

        # Should not raise an error
											__lowercase								= self.tool(*_UpperCAmelCase    )

											if not isinstance(_UpperCAmelCase					,			_UpperCAmelCase    ):
															__lowercase								= [outputs]

											self.assertEqual(len(_UpperCAmelCase    )					,			len(self.tool.outputs    )    )





