




'''simple docstring'''



import unittest

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




def   lowercase__(			__UpperCamelCase:					Tuple    ):

      """simple docstring"""






      return x + 2






class 							_a				(			unittest.TestCase ):





       '''simple docstring'''






       def        UpperCamelCase_							(      self  ):







             '''simple docstring'''







             SCREAMING_SNAKE_CASE   :      Optional[Any]    					=						'x = 3'
             SCREAMING_SNAKE_CASE   :      Optional[Any]    					=						{}
             SCREAMING_SNAKE_CASE   :      Union[str, Any]    					=						evaluate(A,							{},							state=A  )
             assert result == 3
             self.assertDictEqual(A,							{'x': 3}  )

             SCREAMING_SNAKE_CASE   :      Any    					=						'x = y'
             SCREAMING_SNAKE_CASE   :      Tuple    					=						{'y': 5}
             SCREAMING_SNAKE_CASE   :      Dict    					=						evaluate(A,							{},							state=A  )
             # evaluate returns the value of the last assignment.
             assert result == 5
             self.assertDictEqual(A,							{'x': 5, 'y': 5}  )







       def        UpperCamelCase_							(      self  ):







             '''simple docstring'''







             SCREAMING_SNAKE_CASE   :      Dict    					=						'y = add_two(x)'
             SCREAMING_SNAKE_CASE   :      str    					=						{'x': 3}
             SCREAMING_SNAKE_CASE   :      Optional[Any]    					=						evaluate(A,							{'add_two': add_two},							state=A  )
             assert result == 5
             self.assertDictEqual(A,							{'x': 3, 'y': 5}  )

             # Won't work without the tool
             with CaptureStdout() as out:
                   SCREAMING_SNAKE_CASE   :      Dict    					=						evaluate(A,							{},							state=A  )
             assert result is None
             assert "tried to execute add_two" in out.out







       def        UpperCamelCase_							(      self  ):







             '''simple docstring'''







             SCREAMING_SNAKE_CASE   :      Any    					=						'x = 3'
             SCREAMING_SNAKE_CASE   :      Optional[Any]    					=						{}
             SCREAMING_SNAKE_CASE   :      Dict    					=						evaluate(A,							{},							state=A  )
             assert result == 3
             self.assertDictEqual(A,							{'x': 3}  )







       def        UpperCamelCase_							(      self  ):







             '''simple docstring'''







             SCREAMING_SNAKE_CASE   :      Optional[Any]    					=						'test_dict = {\'x\': x, \'y\': add_two(x)}'
             SCREAMING_SNAKE_CASE   :      List[Any]    					=						{'x': 3}
             SCREAMING_SNAKE_CASE   :      List[Any]    					=						evaluate(A,							{'add_two': add_two},							state=A  )
             self.assertDictEqual(A,							{'x': 3, 'y': 5}  )
             self.assertDictEqual(A,							{'x': 3, 'test_dict': {'x': 3, 'y': 5}}  )







       def        UpperCamelCase_							(      self  ):







             '''simple docstring'''







             SCREAMING_SNAKE_CASE   :      List[str]    					=						'x = 3\ny = 5'
             SCREAMING_SNAKE_CASE   :      Tuple    					=						{}
             SCREAMING_SNAKE_CASE   :      str    					=						evaluate(A,							{},							state=A  )
             # evaluate returns the value of the last assignment.
             assert result == 5
             self.assertDictEqual(A,							{'x': 3, 'y': 5}  )







       def        UpperCamelCase_							(      self  ):







             '''simple docstring'''







             SCREAMING_SNAKE_CASE   :      Optional[Any]    					=						'text = f\'This is x: {x}.\''
             SCREAMING_SNAKE_CASE   :      Any    					=						{'x': 3}
             SCREAMING_SNAKE_CASE   :      Union[str, Any]    					=						evaluate(A,							{},							state=A  )
             # evaluate returns the value of the last assignment.
             assert result == "This is x: 3."
             self.assertDictEqual(A,							{'x': 3, 'text': 'This is x: 3.'}  )







       def        UpperCamelCase_							(      self  ):







             '''simple docstring'''







             SCREAMING_SNAKE_CASE   :      Tuple    					=						'if x <= 3:\n    y = 2\nelse:\n    y = 5'
             SCREAMING_SNAKE_CASE   :      List[Any]    					=						{'x': 3}
             SCREAMING_SNAKE_CASE   :      List[str]    					=						evaluate(A,							{},							state=A  )
             # evaluate returns the value of the last assignment.
             assert result == 2
             self.assertDictEqual(A,							{'x': 3, 'y': 2}  )

             SCREAMING_SNAKE_CASE   :      Optional[int]    					=						{'x': 8}
             SCREAMING_SNAKE_CASE   :      str    					=						evaluate(A,							{},							state=A  )
             # evaluate returns the value of the last assignment.
             assert result == 5
             self.assertDictEqual(A,							{'x': 8, 'y': 5}  )







       def        UpperCamelCase_							(      self  ):







             '''simple docstring'''







             SCREAMING_SNAKE_CASE   :      int    					=						'test_list = [x, add_two(x)]'
             SCREAMING_SNAKE_CASE   :      Dict    					=						{'x': 3}
             SCREAMING_SNAKE_CASE   :      List[str]    					=						evaluate(A,							{'add_two': add_two},							state=A  )
             self.assertListEqual(A,							[3, 5]  )
             self.assertDictEqual(A,							{'x': 3, 'test_list': [3, 5]}  )







       def        UpperCamelCase_							(      self  ):







             '''simple docstring'''







             SCREAMING_SNAKE_CASE   :      Any    					=						'y = x'
             SCREAMING_SNAKE_CASE   :      Any    					=						{'x': 3}
             SCREAMING_SNAKE_CASE   :      Dict    					=						evaluate(A,							{},							state=A  )
             assert result == 3
             self.assertDictEqual(A,							{'x': 3, 'y': 3}  )







       def        UpperCamelCase_							(      self  ):







             '''simple docstring'''







             SCREAMING_SNAKE_CASE   :      Optional[int]    					=						'test_list = [x, add_two(x)]\ntest_list[1]'
             SCREAMING_SNAKE_CASE   :      Any    					=						{'x': 3}
             SCREAMING_SNAKE_CASE   :      str    					=						evaluate(A,							{'add_two': add_two},							state=A  )
             assert result == 5
             self.assertDictEqual(A,							{'x': 3, 'test_list': [3, 5]}  )

             SCREAMING_SNAKE_CASE   :      Optional[Any]    					=						'test_dict = {\'x\': x, \'y\': add_two(x)}\ntest_dict[\'y\']'
             SCREAMING_SNAKE_CASE   :      Optional[int]    					=						{'x': 3}
             SCREAMING_SNAKE_CASE   :      List[Any]    					=						evaluate(A,							{'add_two': add_two},							state=A  )
             assert result == 5
             self.assertDictEqual(A,							{'x': 3, 'test_dict': {'x': 3, 'y': 5}}  )







       def        UpperCamelCase_							(      self  ):







             '''simple docstring'''







             SCREAMING_SNAKE_CASE   :      Optional[Any]    					=						'x = 0\nfor i in range(3):\n    x = i'
             SCREAMING_SNAKE_CASE   :      Optional[Any]    					=						{}
             SCREAMING_SNAKE_CASE   :      List[str]    					=						evaluate(A,							{'range': range},							state=A  )
             assert result == 2
             self.assertDictEqual(A,							{'x': 2, 'i': 2}  )









from ..utils import (
    OptionalDependencyNotAvailable,
    is_flax_available,
    is_scipy_available,
    is_torch_available,
    is_torchsde_available,
)


try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  from ..utils.dummy_pt_objects import *  # noqa F403
else:
  from .scheduling_consistency_models import CMStochasticIterativeScheduler
  from .scheduling_ddim import DDIMScheduler
  from .scheduling_ddim_inverse import DDIMInverseScheduler
  from .scheduling_ddim_parallel import DDIMParallelScheduler
  from .scheduling_ddpm import DDPMScheduler
  from .scheduling_ddpm_parallel import DDPMParallelScheduler
  from .scheduling_deis_multistep import DEISMultistepScheduler
  from .scheduling_dpmsolver_multistep import DPMSolverMultistepScheduler
  from .scheduling_dpmsolver_multistep_inverse import DPMSolverMultistepInverseScheduler
  from .scheduling_dpmsolver_singlestep import DPMSolverSinglestepScheduler
  from .scheduling_euler_ancestral_discrete import EulerAncestralDiscreteScheduler
  from .scheduling_euler_discrete import EulerDiscreteScheduler
  from .scheduling_heun_discrete import HeunDiscreteScheduler
  from .scheduling_ipndm import IPNDMScheduler
  from .scheduling_k_dpm_2_ancestral_discrete import KDPMaAncestralDiscreteScheduler
  from .scheduling_k_dpm_2_discrete import KDPMaDiscreteScheduler
  from .scheduling_karras_ve import KarrasVeScheduler
  from .scheduling_pndm import PNDMScheduler
  from .scheduling_repaint import RePaintScheduler
  from .scheduling_sde_ve import ScoreSdeVeScheduler
  from .scheduling_sde_vp import ScoreSdeVpScheduler
  from .scheduling_unclip import UnCLIPScheduler
  from .scheduling_unipc_multistep import UniPCMultistepScheduler
  from .scheduling_utils import KarrasDiffusionSchedulers, SchedulerMixin
  from .scheduling_vq_diffusion import VQDiffusionScheduler

try:
  if not is_flax_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  from ..utils.dummy_flax_objects import *  # noqa F403
else:
  from .scheduling_ddim_flax import FlaxDDIMScheduler
  from .scheduling_ddpm_flax import FlaxDDPMScheduler
  from .scheduling_dpmsolver_multistep_flax import FlaxDPMSolverMultistepScheduler
  from .scheduling_karras_ve_flax import FlaxKarrasVeScheduler
  from .scheduling_lms_discrete_flax import FlaxLMSDiscreteScheduler
  from .scheduling_pndm_flax import FlaxPNDMScheduler
  from .scheduling_sde_ve_flax import FlaxScoreSdeVeScheduler
  from .scheduling_utils_flax import (
      FlaxKarrasDiffusionSchedulers,
      FlaxSchedulerMixin,
      FlaxSchedulerOutput,
      broadcast_to_shape_from_left,
  )


try:
  if not (is_torch_available() and is_scipy_available()):
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  from ..utils.dummy_torch_and_scipy_objects import *  # noqa F403
else:
  from .scheduling_lms_discrete import LMSDiscreteScheduler

try:
  if not (is_torch_available() and is_torchsde_available()):
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  from ..utils.dummy_torch_and_torchsde_objects import *  # noqa F403
else:
  from .scheduling_dpmsolver_sde import DPMSolverSDEScheduler
