


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 						snake_case			(       unittest.TestCase	, lowerCAmelCase__	):
			'''simple docstring'''

			def _lowercase (	self     :     List[Any]					)					->					Optional[Any]:




								"""simple docstring"""






								SCREAMING_SNAKE_CASE_	      =       load_tool('''translation'''					)
								self.tool.setup()
								SCREAMING_SNAKE_CASE_	      =       load_tool('''translation'''							,							remote=lowerCAmelCase_					)

			def _lowercase (	self     :     Tuple					)					->					str:




								"""simple docstring"""






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

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




								"""simple docstring"""






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

			def _lowercase (	self     :     Optional[int]					)					->					str:




								"""simple docstring"""






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

			def _lowercase (	self     :     str					)					->					List[str]:




								"""simple docstring"""






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

			def _lowercase (	self     :     Optional[int]					)					->					Dict:




								"""simple docstring"""






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

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

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

			def _lowercase (	self     :     Optional[int]					)					->					List[str]:




								"""simple docstring"""






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

								if not isinstance(lowerCAmelCase_							,							lowerCAmelCase_					):
													SCREAMING_SNAKE_CASE_	      =       [outputs]

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

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




			def _lowercase (	self     :     Tuple					)					->					int:




								"""simple docstring"""






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

								SCREAMING_SNAKE_CASE_	      =       []

								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_	      =       self.tool(*lowerCAmelCase_					)

								if not isinstance(lowerCAmelCase_							,							lowerCAmelCase_					):
													SCREAMING_SNAKE_CASE_	      =       [outputs]

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






from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_sentencepiece_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


A_														=      {
    "configuration_marian": ["MARIAN_PRETRAINED_CONFIG_ARCHIVE_MAP", "MarianConfig", "MarianOnnxConfig"],
}

try:
		if not is_sentencepiece_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		A_														=      ["MarianTokenizer"]

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		A_														=      [
		    "MARIAN_PRETRAINED_MODEL_ARCHIVE_LIST",
		    "MarianForCausalLM",
		    "MarianModel",
		    "MarianMTModel",
		    "MarianPreTrainedModel",
		]

try:
		if not is_tf_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		A_														=      ["TFMarianModel", "TFMarianMTModel", "TFMarianPreTrainedModel"]

try:
		if not is_flax_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		A_														=      ["FlaxMarianModel", "FlaxMarianMTModel", "FlaxMarianPreTrainedModel"]

if TYPE_CHECKING:
		from .configuration_marian import MARIAN_PRETRAINED_CONFIG_ARCHIVE_MAP, MarianConfig, MarianOnnxConfig

		try:
				if not is_sentencepiece_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .tokenization_marian import MarianTokenizer

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_marian import (
				    MARIAN_PRETRAINED_MODEL_ARCHIVE_LIST,
				    MarianForCausalLM,
				    MarianModel,
				    MarianMTModel,
				    MarianPreTrainedModel,
				)

		try:
				if not is_tf_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_tf_marian import TFMarianModel, TFMarianMTModel, TFMarianPreTrainedModel

		try:
				if not is_flax_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_flax_marian import FlaxMarianModel, FlaxMarianMTModel, FlaxMarianPreTrainedModel

else:
		import sys

		A_														=      _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)


