





'''simple docstring'''




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       UpperCamelCase__			(			unittest.TestCase		,			lowercase_	):




					"""simple docstring"""


					def lowerCamelCase_	(		self							:	List[Any]		):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE				:							List[Any]						=	load_tool("""translation"""		)
							self.tool.setup()
							SCREAMING_SNAKE_CASE				:							Dict						=	load_tool("""translation"""     ,		remote=lowerCamelCase_		)


					def lowerCamelCase_	(		self							:	List[str]		):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE				:							Any						=	self.tool("""Hey, what's up?"""     ,		src_lang="""English"""     ,		tgt_lang="""French"""		)
							self.assertEqual(lowerCamelCase_     ,		"""- Hé, comment ça va?"""		)


					def lowerCamelCase_	(		self							:	List[Any]		):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE				:							Any						=	self.remote_tool("""Hey, what's up?"""     ,		src_lang="""English"""     ,		tgt_lang="""French"""		)
							self.assertEqual(lowerCamelCase_     ,		"""- Hé, comment ça va?"""		)


					def lowerCamelCase_	(		self							:	Optional[int]		):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE				:							Optional[Any]						=	self.tool(text="""Hey, what's up?"""     ,		src_lang="""English"""     ,		tgt_lang="""French"""		)
							self.assertEqual(lowerCamelCase_     ,		"""- Hé, comment ça va?"""		)


					def lowerCamelCase_	(		self							:	Union[str, Any]		):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE				:							Dict						=	self.remote_tool(text="""Hey, what's up?"""     ,		src_lang="""English"""     ,		tgt_lang="""French"""		)
							self.assertEqual(lowerCamelCase_     ,		"""- Hé, comment ça va?"""		)


					def lowerCamelCase_	(		self							:	List[Any]		):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE				:							Any						=	["""Hey, what's up?""", """English""", """Spanish"""]
							SCREAMING_SNAKE_CASE				:							Tuple						=	self.tool(*lowerCamelCase_		)

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

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


					def lowerCamelCase_	(		self							:	Any		):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE				:							List[Any]						=	["""Hey, what's up?""", """English""", """Spanish"""]
							SCREAMING_SNAKE_CASE				:							Optional[Any]						=	self.tool(*lowerCamelCase_		)

							if not isinstance(lowerCamelCase_     ,		lowerCamelCase_		):
									SCREAMING_SNAKE_CASE				:							str						=	[outputs]

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

							for output, output_type in zip(lowerCamelCase_     ,		self.tool.outputs		):
									SCREAMING_SNAKE_CASE				:							Dict						=	AGENT_TYPE_MAPPING[output_type]
									self.assertTrue(isinstance(lowerCamelCase_     ,		lowerCamelCase_		)		)



					def lowerCamelCase_	(		self							:	Dict		):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE				:							Dict						=	["""Hey, what's up?""", """English""", """Spanish"""]

							SCREAMING_SNAKE_CASE				:							str						=	[]

							for _input, input_type in zip(lowerCamelCase_     ,		self.tool.inputs		):
									if isinstance(lowerCamelCase_     ,		lowerCamelCase_		):
											_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
							SCREAMING_SNAKE_CASE				:							Union[str, Any]						=	self.tool(*lowerCamelCase_		)

							if not isinstance(lowerCamelCase_     ,		lowerCamelCase_		):
									SCREAMING_SNAKE_CASE				:							Tuple						=	[outputs]

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










'''simple docstring'''




from ...configuration_utils import PretrainedConfig
from ...utils import logging


__UpperCAmelCase         =   logging.get_logger(__name__)

__UpperCAmelCase         =   {
    """uw-madison/yoso-4096""": """https://huggingface.co/uw-madison/yoso-4096/resolve/main/config.json""",
    # See all YOSO models at https://huggingface.co/models?filter=yoso
}




class       UpperCamelCase__			(			lowercase_	):




					"""simple docstring"""
					SCREAMING_SNAKE_CASE__						=					'''yoso'''


					def __init__(		self							:	str     ,		lowerCamelCase_							:	Tuple=5_02_65     ,		lowerCamelCase_							:	int=7_68     ,		lowerCamelCase_							:	Optional[Any]=12     ,		lowerCamelCase_							:	int=12     ,		lowerCamelCase_							:	Optional[Any]=30_72     ,		lowerCamelCase_							:	str="gelu"     ,		lowerCamelCase_							:	Union[str, Any]=0.1     ,		lowerCamelCase_							:	int=0.1     ,		lowerCamelCase_							:	Optional[int]=40_96     ,		lowerCamelCase_							:	str=1     ,		lowerCamelCase_							:	str=0.02     ,		lowerCamelCase_							:	Dict=1e-12     ,		lowerCamelCase_							:	Tuple="absolute"     ,		lowerCamelCase_							:	Any=True     ,		lowerCamelCase_							:	Dict=9     ,		lowerCamelCase_							:	Any=64     ,		lowerCamelCase_							:	Union[str, Any]=None     ,		lowerCamelCase_							:	List[str]=True     ,		lowerCamelCase_							:	Dict=True     ,		lowerCamelCase_							:	int=1     ,		lowerCamelCase_							:	Tuple=0     ,		lowerCamelCase_							:	Dict=2     ,		**lowerCamelCase_							:	Tuple     ,		):

							'''simple docstring'''



							super().__init__(pad_token_id=lowerCamelCase_     ,		bos_token_id=lowerCamelCase_     ,		eos_token_id=lowerCamelCase_     ,		**lowerCamelCase_		)

							SCREAMING_SNAKE_CASE				:							int						=	vocab_size
							SCREAMING_SNAKE_CASE				:							List[Any]						=	max_position_embeddings
							SCREAMING_SNAKE_CASE				:							Tuple						=	hidden_size
							SCREAMING_SNAKE_CASE				:							Dict						=	num_hidden_layers
							SCREAMING_SNAKE_CASE				:							Any						=	num_attention_heads
							SCREAMING_SNAKE_CASE				:							int						=	intermediate_size
							SCREAMING_SNAKE_CASE				:							Optional[Any]						=	hidden_act
							SCREAMING_SNAKE_CASE				:							Optional[Any]						=	hidden_dropout_prob
							SCREAMING_SNAKE_CASE				:							List[Any]						=	attention_probs_dropout_prob
							SCREAMING_SNAKE_CASE				:							str						=	initializer_range
							SCREAMING_SNAKE_CASE				:							List[str]						=	type_vocab_size
							SCREAMING_SNAKE_CASE				:							List[str]						=	layer_norm_eps
							SCREAMING_SNAKE_CASE				:							Any						=	position_embedding_type
							SCREAMING_SNAKE_CASE				:							Optional[int]						=	use_expectation
							SCREAMING_SNAKE_CASE				:							int						=	hash_code_len
							SCREAMING_SNAKE_CASE				:							Union[str, Any]						=	num_hash
							SCREAMING_SNAKE_CASE				:							Optional[Any]						=	conv_window
							SCREAMING_SNAKE_CASE				:							Optional[Any]						=	use_fast_hash
							SCREAMING_SNAKE_CASE				:							Optional[int]						=	lsh_backward



