import unittest

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



def   __A		(			_A					):



 """simple docstring"""


 return x + 2






class    A_ (       unittest.TestCase ):

  def 		_UpperCAmelCase   (		self :      Any       ):
   __a       =  "x = 3"
   __a       =  {}
   __a       =  evaluate(__SCREAMING_SNAKE_CASE     ,							{}     ,							state=__SCREAMING_SNAKE_CASE       )
   assert result == 3
   self.assertDictEqual(__SCREAMING_SNAKE_CASE     ,							{"x": 3}       )

   __a       =  "x = y"
   __a       =  {"y": 5}
   __a       =  evaluate(__SCREAMING_SNAKE_CASE     ,							{}     ,							state=__SCREAMING_SNAKE_CASE       )
   # evaluate returns the value of the last assignment.
   assert result == 5
   self.assertDictEqual(__SCREAMING_SNAKE_CASE     ,							{"x": 5, "y": 5}       )

  def 		_UpperCAmelCase   (		self :      str       ):
   __a       =  "y = add_two(x)"
   __a       =  {"x": 3}
   __a       =  evaluate(__SCREAMING_SNAKE_CASE     ,							{"add_two": add_two}     ,							state=__SCREAMING_SNAKE_CASE       )
   assert result == 5
   self.assertDictEqual(__SCREAMING_SNAKE_CASE     ,							{"x": 3, "y": 5}       )

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

  def 		_UpperCAmelCase   (		self :      List[str]       ):
   __a       =  "x = 3"
   __a       =  {}
   __a       =  evaluate(__SCREAMING_SNAKE_CASE     ,							{}     ,							state=__SCREAMING_SNAKE_CASE       )
   assert result == 3
   self.assertDictEqual(__SCREAMING_SNAKE_CASE     ,							{"x": 3}       )

  def 		_UpperCAmelCase   (		self :      Optional[Any]       ):
   __a       =  "test_dict = {'x': x, 'y': add_two(x)}"
   __a       =  {"x": 3}
   __a       =  evaluate(__SCREAMING_SNAKE_CASE     ,							{"add_two": add_two}     ,							state=__SCREAMING_SNAKE_CASE       )
   self.assertDictEqual(__SCREAMING_SNAKE_CASE     ,							{"x": 3, "y": 5}       )
   self.assertDictEqual(__SCREAMING_SNAKE_CASE     ,							{"x": 3, "test_dict": {"x": 3, "y": 5}}       )

  def 		_UpperCAmelCase   (		self :      int       ):
   __a       =  "x = 3\ny = 5"
   __a       =  {}
   __a       =  evaluate(__SCREAMING_SNAKE_CASE     ,							{}     ,							state=__SCREAMING_SNAKE_CASE       )
   # evaluate returns the value of the last assignment.
   assert result == 5
   self.assertDictEqual(__SCREAMING_SNAKE_CASE     ,							{"x": 3, "y": 5}       )

  def 		_UpperCAmelCase   (		self :      Dict       ):
   __a       =  "text = f'This is x: {x}.'"
   __a       =  {"x": 3}
   __a       =  evaluate(__SCREAMING_SNAKE_CASE     ,							{}     ,							state=__SCREAMING_SNAKE_CASE       )
   # evaluate returns the value of the last assignment.
   assert result == "This is x: 3."
   self.assertDictEqual(__SCREAMING_SNAKE_CASE     ,							{"x": 3, "text": "This is x: 3."}       )

  def 		_UpperCAmelCase   (		self :      Optional[Any]       ):
   __a       =  "if x <= 3:\n    y = 2\nelse:\n    y = 5"
   __a       =  {"x": 3}
   __a       =  evaluate(__SCREAMING_SNAKE_CASE     ,							{}     ,							state=__SCREAMING_SNAKE_CASE       )
   # evaluate returns the value of the last assignment.
   assert result == 2
   self.assertDictEqual(__SCREAMING_SNAKE_CASE     ,							{"x": 3, "y": 2}       )

   __a       =  {"x": 8}
   __a       =  evaluate(__SCREAMING_SNAKE_CASE     ,							{}     ,							state=__SCREAMING_SNAKE_CASE       )
   # evaluate returns the value of the last assignment.
   assert result == 5
   self.assertDictEqual(__SCREAMING_SNAKE_CASE     ,							{"x": 8, "y": 5}       )

  def 		_UpperCAmelCase   (		self :      Dict       ):
   __a       =  "test_list = [x, add_two(x)]"
   __a       =  {"x": 3}
   __a       =  evaluate(__SCREAMING_SNAKE_CASE     ,							{"add_two": add_two}     ,							state=__SCREAMING_SNAKE_CASE       )
   self.assertListEqual(__SCREAMING_SNAKE_CASE     ,							[3, 5]       )
   self.assertDictEqual(__SCREAMING_SNAKE_CASE     ,							{"x": 3, "test_list": [3, 5]}       )

  def 		_UpperCAmelCase   (		self :      Optional[Any]       ):
   __a       =  "y = x"
   __a       =  {"x": 3}
   __a       =  evaluate(__SCREAMING_SNAKE_CASE     ,							{}     ,							state=__SCREAMING_SNAKE_CASE       )
   assert result == 3
   self.assertDictEqual(__SCREAMING_SNAKE_CASE     ,							{"x": 3, "y": 3}       )

  def 		_UpperCAmelCase   (		self :      List[str]       ):
   __a       =  "test_list = [x, add_two(x)]\ntest_list[1]"
   __a       =  {"x": 3}
   __a       =  evaluate(__SCREAMING_SNAKE_CASE     ,							{"add_two": add_two}     ,							state=__SCREAMING_SNAKE_CASE       )
   assert result == 5
   self.assertDictEqual(__SCREAMING_SNAKE_CASE     ,							{"x": 3, "test_list": [3, 5]}       )

   __a       =  "test_dict = {'x': x, 'y': add_two(x)}\ntest_dict['y']"
   __a       =  {"x": 3}
   __a       =  evaluate(__SCREAMING_SNAKE_CASE     ,							{"add_two": add_two}     ,							state=__SCREAMING_SNAKE_CASE       )
   assert result == 5
   self.assertDictEqual(__SCREAMING_SNAKE_CASE     ,							{"x": 3, "test_dict": {"x": 3, "y": 5}}       )

  def 		_UpperCAmelCase   (		self :      Optional[int]       ):
   __a       =  "x = 0\nfor i in range(3):\n    x = i"
   __a       =  {}
   __a       =  evaluate(__SCREAMING_SNAKE_CASE     ,							{"range": range}     ,							state=__SCREAMING_SNAKE_CASE       )
   assert result == 2
   self.assertDictEqual(__SCREAMING_SNAKE_CASE     ,							{"x": 2, "i": 2}       )



import unittest

from transformers import AutoTokenizer, is_flax_available
from transformers.testing_utils import require_flax, require_sentencepiece, require_tokenizers, slow


if is_flax_available():
  import jax.numpy as jnp

  from transformers import FlaxXLMRobertaModel
@require_sentencepiece
@require_tokenizers
@require_flax
class    A_ (       unittest.TestCase ):

  @slow
  def 		_UpperCAmelCase   (		self :      Dict       ):
   __a       =  FlaxXLMRobertaModel.from_pretrained("xlm-roberta-base"       )
   __a       =  AutoTokenizer.from_pretrained("xlm-roberta-base"       )
   __a       =  "The dog is cute and lives in the garden house"
   __a       =  jnp.array([tokenizer.encode(__SCREAMING_SNAKE_CASE       )]       )

   __a       =  (1, 12, 7_68)  # batch_size, sequence_length, embedding_vector_dim
   __a       =  jnp.array(
       [[-0.01_01, 0.12_18, -0.08_03, 0.08_01, 0.13_27, 0.07_76, -0.12_15, 0.23_83, 0.33_38, 0.31_06, 0.03_00, 0.02_52]]       )

   __a       =  model(__SCREAMING_SNAKE_CASE       )["last_hidden_state"]
   self.assertEqual(output.shape     ,							__SCREAMING_SNAKE_CASE       )
   # compare the actual values for a slice of last dim
   self.assertTrue(jnp.allclose(output[:, :, -1]     ,							__SCREAMING_SNAKE_CASE     ,							atol=1E-3       )       )


