import unittest

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





def    __lowercase     (						lowerCamelCase					:     Tuple	):
 return x + 2






class 		_lowercase						(					unittest.TestCase       ):

 def 						SCREAMING_SNAKE_CASE__   ( self	:							Tuple			)   ->						Dict:

  """simple docstring"""





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

  UpperCamelCase_					:						Optional[int] =					'x = y'
  UpperCamelCase_					:						int =					{'y': 5}
  UpperCamelCase_					:						List[Any] =					evaluate(snake_case   ,      {}   ,      state=snake_case			)
  # evaluate returns the value of the last assignment.
  assert result == 5
  self.assertDictEqual(snake_case   ,      {'x': 5, 'y': 5}			)

 def 						SCREAMING_SNAKE_CASE__   ( self	:							Optional[Any]			)   ->						Dict:

  """simple docstring"""





  UpperCamelCase_					:						Dict =					'y = add_two(x)'
  UpperCamelCase_					:						List[Any] =					{'x': 3}
  UpperCamelCase_					:						Any =					evaluate(snake_case   ,      {'add_two': add_two}   ,      state=snake_case			)
  assert result == 5
  self.assertDictEqual(snake_case   ,      {'x': 3, 'y': 5}			)

  # Won't work without the tool
  with CaptureStdout() as out:
   UpperCamelCase_					:						Union[str, Any] =					evaluate(snake_case   ,      {}   ,      state=snake_case			)
  assert result is None
  assert "tried to execute add_two" in out.out

 def 						SCREAMING_SNAKE_CASE__   ( self	:							Tuple			)   ->						Any:

  """simple docstring"""





  UpperCamelCase_					:						str =					'x = 3'
  UpperCamelCase_					:						Tuple =					{}
  UpperCamelCase_					:						int =					evaluate(snake_case   ,      {}   ,      state=snake_case			)
  assert result == 3
  self.assertDictEqual(snake_case   ,      {'x': 3}			)

 def 						SCREAMING_SNAKE_CASE__   ( self	:							str			)   ->						Any:

  """simple docstring"""





  UpperCamelCase_					:						int =					'test_dict = {\'x\': x, \'y\': add_two(x)}'
  UpperCamelCase_					:						Dict =					{'x': 3}
  UpperCamelCase_					:						int =					evaluate(snake_case   ,      {'add_two': add_two}   ,      state=snake_case			)
  self.assertDictEqual(snake_case   ,      {'x': 3, 'y': 5}			)
  self.assertDictEqual(snake_case   ,      {'x': 3, 'test_dict': {'x': 3, 'y': 5}}			)

 def 						SCREAMING_SNAKE_CASE__   ( self	:							Tuple			)   ->						List[Any]:

  """simple docstring"""





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

 def 						SCREAMING_SNAKE_CASE__   ( self	:							str			)   ->						Union[str, Any]:

  """simple docstring"""





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

 def 						SCREAMING_SNAKE_CASE__   ( self	:							Union[str, Any]			)   ->						Dict:

  """simple docstring"""





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

  UpperCamelCase_					:						str =					{'x': 8}
  UpperCamelCase_					:						Tuple =					evaluate(snake_case   ,      {}   ,      state=snake_case			)
  # evaluate returns the value of the last assignment.
  assert result == 5
  self.assertDictEqual(snake_case   ,      {'x': 8, 'y': 5}			)

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

  """simple docstring"""





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

 def 						SCREAMING_SNAKE_CASE__   ( self	:							List[Any]			)   ->						List[str]:

  """simple docstring"""





  UpperCamelCase_					:						Optional[Any] =					'y = x'
  UpperCamelCase_					:						Optional[Any] =					{'x': 3}
  UpperCamelCase_					:						Optional[Any] =					evaluate(snake_case   ,      {}   ,      state=snake_case			)
  assert result == 3
  self.assertDictEqual(snake_case   ,      {'x': 3, 'y': 3}			)

 def 						SCREAMING_SNAKE_CASE__   ( self	:							Tuple			)   ->						List[str]:

  """simple docstring"""





  UpperCamelCase_					:						Optional[int] =					'test_list = [x, add_two(x)]\ntest_list[1]'
  UpperCamelCase_					:						int =					{'x': 3}
  UpperCamelCase_					:						Tuple =					evaluate(snake_case   ,      {'add_two': add_two}   ,      state=snake_case			)
  assert result == 5
  self.assertDictEqual(snake_case   ,      {'x': 3, 'test_list': [3, 5]}			)

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


 def 						SCREAMING_SNAKE_CASE__   ( self	:							Union[str, Any]			)   ->						Union[str, Any]:

  """simple docstring"""





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




import gc
import unittest

from diffusers import FlaxDPMSolverMultistepScheduler, FlaxStableDiffusionPipeline
from diffusers.utils import is_flax_available, slow
from diffusers.utils.testing_utils import require_flax


if is_flax_available():
   import jax
   import jax.numpy as jnp
   from flax.jax_utils import replicate
   from flax.training.common_utils import shard





@slow
@require_flax
class 		_lowercase						(					unittest.TestCase       ):

 def 						SCREAMING_SNAKE_CASE__   ( self	:							int			)   ->						str:

  """simple docstring"""





  super().tearDown()
  gc.collect()

 def 						SCREAMING_SNAKE_CASE__   ( self	:							Union[str, Any]			)   ->						Tuple:

  """simple docstring"""





  UpperCamelCase_, UpperCamelCase_					:						str =					FlaxStableDiffusionPipeline.from_pretrained(
      'stabilityai/stable-diffusion-2'   ,      revision='bf16'   ,      dtype=jnp.bfloataa   ,      )

  UpperCamelCase_					:						str =					'A painting of a squirrel eating a burger'
  UpperCamelCase_					:						Any =					jax.device_count()
  UpperCamelCase_					:						List[str] =					num_samples * [prompt]
  UpperCamelCase_					:						List[Any] =					sd_pipe.prepare_inputs(snake_case			)

  UpperCamelCase_					:						Dict =					replicate(snake_case			)
  UpperCamelCase_					:						Optional[Any] =					shard(snake_case			)

  UpperCamelCase_					:						Dict =					jax.random.PRNGKey(0			)
  UpperCamelCase_					:						Tuple =					jax.random.split(snake_case   ,      jax.device_count()			)

  UpperCamelCase_					:						Optional[Any] =					sd_pipe(snake_case   ,      snake_case   ,      snake_case   ,      num_inference_steps=2_5   ,      jit=snake_case			)[0]
  assert images.shape == (jax.device_count(), 1, 7_6_8, 7_6_8, 3)

  UpperCamelCase_					:						int =					images.reshape((images.shape[0] * images.shape[1],) + images.shape[-3:]			)
  UpperCamelCase_					:						Tuple =					images[0, 2_5_3:2_5_6, 2_5_3:2_5_6, -1]

  UpperCamelCase_					:						str =					jnp.asarray(jax.device_get(image_slice.flatten()			)			)
  UpperCamelCase_					:						List[str] =					jnp.array([0.4238, 0.4414, 0.4395, 0.4453, 0.4629, 0.4590, 0.4531, 0.45508, 0.4512]			)
  print(f"output_slice: {output_slice}"			)
  assert jnp.abs(output_slice - expected_slice			).max() < 1e-2


 def 						SCREAMING_SNAKE_CASE__   ( self	:							Any			)   ->						List[Any]:

  """simple docstring"""





  UpperCamelCase_					:						Tuple =					'stabilityai/stable-diffusion-2'
  UpperCamelCase_, UpperCamelCase_					:						Tuple =					FlaxDPMSolverMultistepScheduler.from_pretrained(snake_case   ,      subfolder='scheduler'			)
  UpperCamelCase_, UpperCamelCase_					:						Union[str, Any] =					FlaxStableDiffusionPipeline.from_pretrained(
      snake_case   ,      scheduler=snake_case   ,      revision='bf16'   ,      dtype=jnp.bfloataa   ,      )
  UpperCamelCase_					:						Optional[int] =					scheduler_params

  UpperCamelCase_					:						Optional[Any] =					'A painting of a squirrel eating a burger'
  UpperCamelCase_					:						Union[str, Any] =					jax.device_count()
  UpperCamelCase_					:						Union[str, Any] =					num_samples * [prompt]
  UpperCamelCase_					:						Tuple =					sd_pipe.prepare_inputs(snake_case			)

  UpperCamelCase_					:						List[Any] =					replicate(snake_case			)
  UpperCamelCase_					:						Optional[Any] =					shard(snake_case			)

  UpperCamelCase_					:						Tuple =					jax.random.PRNGKey(0			)
  UpperCamelCase_					:						str =					jax.random.split(snake_case   ,      jax.device_count()			)

  UpperCamelCase_					:						str =					sd_pipe(snake_case   ,      snake_case   ,      snake_case   ,      num_inference_steps=2_5   ,      jit=snake_case			)[0]
  assert images.shape == (jax.device_count(), 1, 7_6_8, 7_6_8, 3)

  UpperCamelCase_					:						str =					images.reshape((images.shape[0] * images.shape[1],) + images.shape[-3:]			)
  UpperCamelCase_					:						int =					images[0, 2_5_3:2_5_6, 2_5_3:2_5_6, -1]

  UpperCamelCase_					:						int =					jnp.asarray(jax.device_get(image_slice.flatten()			)			)
  UpperCamelCase_					:						Union[str, Any] =					jnp.array([0.4336, 0.42969, 0.4453, 0.4199, 0.4297, 0.4531, 0.4434, 0.4434, 0.4297]			)
  print(f"output_slice: {output_slice}"			)
  assert jnp.abs(output_slice - expected_slice			).max() < 1e-2



