
import unittest

from transformers.testing_utils import CaptureStdout
from transformers.tools.python_interpreter import evaluate

def    UpperCamelCase						(	_A			):






						"""simple docstring"""







						return x + 2





class 	snake_case__ (							unittest.TestCase				):
	def       __magic_name__    (    self			)							->				List[str]:
							__magic_name__      :       Optional[Any]       						= """x = 3"""
							__magic_name__      :       Optional[int]       						= {}
							__magic_name__      :       Any       						= evaluate(lowerCamelCase__      ,       {}      ,       state=lowerCamelCase__			)
							assert result == 3
							self.assertDictEqual(lowerCamelCase__      ,       {"""x""": 3}			)

							__magic_name__      :       int       						= """x = y"""
							__magic_name__      :       int       						= {"""y""": 5}
							__magic_name__      :       Dict       						= evaluate(lowerCamelCase__      ,       {}      ,       state=lowerCamelCase__			)
							# evaluate returns the value of the last assignment.
							assert result == 5
							self.assertDictEqual(lowerCamelCase__      ,       {"""x""": 5, """y""": 5}			)
	def       __magic_name__    (    self			)							->				int:
							__magic_name__      :       Optional[Any]       						= """y = add_two(x)"""
							__magic_name__      :       str       						= {"""x""": 3}
							__magic_name__      :       Dict       						= evaluate(lowerCamelCase__      ,       {"""add_two""": add_two}      ,       state=lowerCamelCase__			)
							assert result == 5
							self.assertDictEqual(lowerCamelCase__      ,       {"""x""": 3, """y""": 5}			)

							# Won't work without the tool
							with CaptureStdout() as out:
													__magic_name__      :       Optional[Any]       						= evaluate(lowerCamelCase__      ,       {}      ,       state=lowerCamelCase__			)
							assert result is None
							assert "tried to execute add_two" in out.out
	def       __magic_name__    (    self			)							->				Any:
							__magic_name__      :       int       						= """x = 3"""
							__magic_name__      :       Tuple       						= {}
							__magic_name__      :       int       						= evaluate(lowerCamelCase__      ,       {}      ,       state=lowerCamelCase__			)
							assert result == 3
							self.assertDictEqual(lowerCamelCase__      ,       {"""x""": 3}			)
	def       __magic_name__    (    self			)							->				int:
							__magic_name__      :       List[str]       						= """test_dict = {\'x\': x, \'y\': add_two(x)}"""
							__magic_name__      :       Optional[int]       						= {"""x""": 3}
							__magic_name__      :       List[str]       						= evaluate(lowerCamelCase__      ,       {"""add_two""": add_two}      ,       state=lowerCamelCase__			)
							self.assertDictEqual(lowerCamelCase__      ,       {"""x""": 3, """y""": 5}			)
							self.assertDictEqual(lowerCamelCase__      ,       {"""x""": 3, """test_dict""": {"""x""": 3, """y""": 5}}			)
	def       __magic_name__    (    self			)							->				str:
							__magic_name__      :       Optional[int]       						= """x = 3\ny = 5"""
							__magic_name__      :       Optional[int]       						= {}
							__magic_name__      :       Dict       						= evaluate(lowerCamelCase__      ,       {}      ,       state=lowerCamelCase__			)
							# evaluate returns the value of the last assignment.
							assert result == 5
							self.assertDictEqual(lowerCamelCase__      ,       {"""x""": 3, """y""": 5}			)
	def       __magic_name__    (    self			)							->				Optional[int]:
							__magic_name__      :       Dict       						= """text = f\'This is x: {x}.\'"""
							__magic_name__      :       List[Any]       						= {"""x""": 3}
							__magic_name__      :       Optional[Any]       						= evaluate(lowerCamelCase__      ,       {}      ,       state=lowerCamelCase__			)
							# evaluate returns the value of the last assignment.
							assert result == "This is x: 3."
							self.assertDictEqual(lowerCamelCase__      ,       {"""x""": 3, """text""": """This is x: 3."""}			)
	def       __magic_name__    (    self			)							->				Optional[int]:
							__magic_name__      :       List[str]       						= """if x <= 3:\n    y = 2\nelse:\n    y = 5"""
							__magic_name__      :       Union[str, Any]       						= {"""x""": 3}
							__magic_name__      :       List[Any]       						= evaluate(lowerCamelCase__      ,       {}      ,       state=lowerCamelCase__			)
							# evaluate returns the value of the last assignment.
							assert result == 2
							self.assertDictEqual(lowerCamelCase__      ,       {"""x""": 3, """y""": 2}			)

							__magic_name__      :       int       						= {"""x""": 8}
							__magic_name__      :       str       						= evaluate(lowerCamelCase__      ,       {}      ,       state=lowerCamelCase__			)
							# evaluate returns the value of the last assignment.
							assert result == 5
							self.assertDictEqual(lowerCamelCase__      ,       {"""x""": 8, """y""": 5}			)
	def       __magic_name__    (    self			)							->				str:
							__magic_name__      :       Dict       						= """test_list = [x, add_two(x)]"""
							__magic_name__      :       Tuple       						= {"""x""": 3}
							__magic_name__      :       int       						= evaluate(lowerCamelCase__      ,       {"""add_two""": add_two}      ,       state=lowerCamelCase__			)
							self.assertListEqual(lowerCamelCase__      ,       [3, 5]			)
							self.assertDictEqual(lowerCamelCase__      ,       {"""x""": 3, """test_list""": [3, 5]}			)
	def       __magic_name__    (    self			)							->				Dict:
							__magic_name__      :       int       						= """y = x"""
							__magic_name__      :       List[Any]       						= {"""x""": 3}
							__magic_name__      :       str       						= evaluate(lowerCamelCase__      ,       {}      ,       state=lowerCamelCase__			)
							assert result == 3
							self.assertDictEqual(lowerCamelCase__      ,       {"""x""": 3, """y""": 3}			)
	def       __magic_name__    (    self			)							->				Union[str, Any]:
							__magic_name__      :       List[Any]       						= """test_list = [x, add_two(x)]\ntest_list[1]"""
							__magic_name__      :       List[Any]       						= {"""x""": 3}
							__magic_name__      :       Optional[int]       						= evaluate(lowerCamelCase__      ,       {"""add_two""": add_two}      ,       state=lowerCamelCase__			)
							assert result == 5
							self.assertDictEqual(lowerCamelCase__      ,       {"""x""": 3, """test_list""": [3, 5]}			)

							__magic_name__      :       Tuple       						= """test_dict = {\'x\': x, \'y\': add_two(x)}\ntest_dict[\'y\']"""
							__magic_name__      :       Optional[int]       						= {"""x""": 3}
							__magic_name__      :       Union[str, Any]       						= evaluate(lowerCamelCase__      ,       {"""add_two""": add_two}      ,       state=lowerCamelCase__			)
							assert result == 5
							self.assertDictEqual(lowerCamelCase__      ,       {"""x""": 3, """test_dict""": {"""x""": 3, """y""": 5}}			)







	def       __magic_name__    (    self			)							->				Optional[int]:
							__magic_name__      :       Union[str, Any]       						= """x = 0\nfor i in range(3):\n    x = i"""
							__magic_name__      :       Optional[Any]       						= {}
							__magic_name__      :       Tuple       						= evaluate(lowerCamelCase__      ,       {"""range""": range}      ,       state=lowerCamelCase__			)
							assert result == 2
							self.assertDictEqual(lowerCamelCase__      ,       {"""x""": 2, """i""": 2}			)








from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tf_available, is_torch_available


__magic_name__:					Tuple							=     {
    "configuration_tapas": ["TAPAS_PRETRAINED_CONFIG_ARCHIVE_MAP", "TapasConfig"],
    "tokenization_tapas": ["TapasTokenizer"],
}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__magic_name__:					Dict							=     [
		    "TAPAS_PRETRAINED_MODEL_ARCHIVE_LIST",
		    "TapasForMaskedLM",
		    "TapasForQuestionAnswering",
		    "TapasForSequenceClassification",
		    "TapasModel",
		    "TapasPreTrainedModel",
		    "load_tf_weights_in_tapas",
		]
try:
		if not is_tf_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__magic_name__:					int							=     [
		    "TF_TAPAS_PRETRAINED_MODEL_ARCHIVE_LIST",
		    "TFTapasForMaskedLM",
		    "TFTapasForQuestionAnswering",
		    "TFTapasForSequenceClassification",
		    "TFTapasModel",
		    "TFTapasPreTrainedModel",
		]


if TYPE_CHECKING:
		from .configuration_tapas import TAPAS_PRETRAINED_CONFIG_ARCHIVE_MAP, TapasConfig
		from .tokenization_tapas import TapasTokenizer

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_tapas import (
				    TAPAS_PRETRAINED_MODEL_ARCHIVE_LIST,
				    TapasForMaskedLM,
				    TapasForQuestionAnswering,
				    TapasForSequenceClassification,
				    TapasModel,
				    TapasPreTrainedModel,
				    load_tf_weights_in_tapas,
				)

		try:
				if not is_tf_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_tf_tapas import (
				    TF_TAPAS_PRETRAINED_MODEL_ARCHIVE_LIST,
				    TFTapasForMaskedLM,
				    TFTapasForQuestionAnswering,
				    TFTapasForSequenceClassification,
				    TFTapasModel,
				    TFTapasPreTrainedModel,
				)


else:
		import sys

		__magic_name__:					Tuple							=     _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
