
'''simple docstring'''

import unittest
from dataclasses import dataclass
from typing import Optional

from transformers.utils import ModelOutput






@dataclass
class    A     (	SCREAMING_SNAKE_CASE__    ):
	snake_case__      :float
	snake_case__      :Optional[float]        =     None
	snake_case__      :Optional[float]        =     None






class    A     (	unittest.TestCase    ):





	def 							__SCREAMING_SNAKE_CASE  (					self			:       str							):


				"""simple docstring"""

				lowerCAmelCase__								=							ModelOutputTest(a=30							)
				self.assertEqual(x.a      ,							30							)
				self.assertIsNone(x.b							)
				self.assertIsNone(x.c							)
				with self.assertRaises(__magic_name__							):
							lowerCAmelCase__								=							x.d





	def 							__SCREAMING_SNAKE_CASE  (					self			:       Tuple							):


				"""simple docstring"""

				lowerCAmelCase__								=							ModelOutputTest(a=30      ,							b=10							)
				self.assertEqual(x[0]      ,							30							)
				self.assertEqual(x[1]      ,							10							)
				self.assertEqual(x[:2]      ,							(30, 10)							)
				self.assertEqual(x[:]      ,							(30, 10)							)

				lowerCAmelCase__								=							ModelOutputTest(a=30      ,							c=10							)
				self.assertEqual(x[0]      ,							30							)
				self.assertEqual(x[1]      ,							10							)
				self.assertEqual(x[:2]      ,							(30, 10)							)
				self.assertEqual(x[:]      ,							(30, 10)							)





	def 							__SCREAMING_SNAKE_CASE  (					self			:       Optional[int]							):


				"""simple docstring"""

				lowerCAmelCase__								=							ModelOutputTest(a=30      ,							b=10							)
				self.assertEqual(x["a"]      ,							30							)
				self.assertEqual(x["b"]      ,							10							)
				with self.assertRaises(__magic_name__							):
							lowerCAmelCase__								=							x["c"]

				lowerCAmelCase__								=							ModelOutputTest(a=30      ,							c=10							)
				self.assertEqual(x["a"]      ,							30							)
				self.assertEqual(x["c"]      ,							10							)
				with self.assertRaises(__magic_name__							):
							lowerCAmelCase__								=							x["b"]





	def 							__SCREAMING_SNAKE_CASE  (					self			:       Any							):


				"""simple docstring"""

				lowerCAmelCase__								=							ModelOutputTest(a=30							)
				self.assertEqual(list(x.keys()							)      ,							["a"]							)
				self.assertEqual(list(x.values()							)      ,							[30]							)
				self.assertEqual(list(x.items()							)      ,							[("a", 30)]							)
				self.assertEqual(list(__magic_name__							)      ,							["a"]							)

				lowerCAmelCase__								=							ModelOutputTest(a=30      ,							b=10							)
				self.assertEqual(list(x.keys()							)      ,							["a", "b"]							)
				self.assertEqual(list(x.values()							)      ,							[30, 10]							)
				self.assertEqual(list(x.items()							)      ,							[("a", 30), ("b", 10)]							)
				self.assertEqual(list(__magic_name__							)      ,							["a", "b"]							)

				lowerCAmelCase__								=							ModelOutputTest(a=30      ,							c=10							)
				self.assertEqual(list(x.keys()							)      ,							["a", "c"]							)
				self.assertEqual(list(x.values()							)      ,							[30, 10]							)
				self.assertEqual(list(x.items()							)      ,							[("a", 30), ("c", 10)]							)
				self.assertEqual(list(__magic_name__							)      ,							["a", "c"]							)

				with self.assertRaises(__magic_name__							):
							lowerCAmelCase__								=							x.update({"d": 20}							)
				with self.assertRaises(__magic_name__							):
							del x["a"]
				with self.assertRaises(__magic_name__							):
							lowerCAmelCase__								=							x.pop("a"							)
				with self.assertRaises(__magic_name__							):
							lowerCAmelCase__								=							x.setdefault("d"      ,							32							)





	def 							__SCREAMING_SNAKE_CASE  (					self			:       int							):


				"""simple docstring"""

				lowerCAmelCase__								=							ModelOutputTest(a=30							)
				lowerCAmelCase__								=							10
				self.assertEqual(x.a      ,							10							)
				self.assertEqual(x["a"]      ,							10							)





	def 							__SCREAMING_SNAKE_CASE  (					self			:       Optional[int]							):


				"""simple docstring"""

				lowerCAmelCase__								=							ModelOutputTest(a=30							)
				lowerCAmelCase__								=							10
				self.assertEqual(x.a      ,							10							)
				self.assertEqual(x["a"]      ,							10							)





	def 							__SCREAMING_SNAKE_CASE  (					self			:       Optional[Any]							):


				"""simple docstring"""

				lowerCAmelCase__								=							ModelOutputTest({"a": 30, "b": 10}							)
				self.assertEqual(list(x.keys()							)      ,							["a", "b"]							)
				self.assertEqual(x.a      ,							30							)
				self.assertEqual(x.b      ,							10							)







	def 							__SCREAMING_SNAKE_CASE  (					self			:       Optional[Any]							):


				"""simple docstring"""

				lowerCAmelCase__								=							ModelOutputTest([("a", 30), ("b", 10)]							)
				self.assertEqual(list(x.keys()							)      ,							["a", "b"]							)
				self.assertEqual(x.a      ,							30							)
				self.assertEqual(x.b      ,							10							)

				with self.assertRaises(__magic_name__							):
							lowerCAmelCase__								=							ModelOutputTest([("a", 30), (10, 10)]							)

				lowerCAmelCase__								=							ModelOutputTest(a=(30, 30)							)
				self.assertEqual(list(x.keys()							)      ,							["a"]							)
				self.assertEqual(x.a      ,							(30, 30)							)


'''simple docstring'''

from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


UpperCAmelCase__   : Any					=		{
    "configuration_fsmt": ["FSMT_PRETRAINED_CONFIG_ARCHIVE_MAP", "FSMTConfig"],
    "tokenization_fsmt": ["FSMTTokenizer"],
}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		UpperCAmelCase__   : str					=		["FSMTForConditionalGeneration", "FSMTModel", "PretrainedFSMTModel"]


if TYPE_CHECKING:
		from .configuration_fsmt import FSMT_PRETRAINED_CONFIG_ARCHIVE_MAP, FSMTConfig
		from .tokenization_fsmt import FSMTTokenizer

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_fsmt import FSMTForConditionalGeneration, FSMTModel, PretrainedFSMTModel

else:
		import sys

		UpperCAmelCase__   : int					=		_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)





