
'''simple docstring'''
import unittest

import numpy as np

from transformers.testing_utils import require_flax, require_tf, require_torch
from transformers.utils import (
    expand_dims,
    flatten_dict,
    is_flax_available,
    is_tf_available,
    is_torch_available,
    reshape,
    squeeze,
    transpose,
)


if is_flax_available():
				import jax.numpy as jnp

if is_tf_available():
				import tensorflow as tf

if is_torch_available():
				import torch


class       _lowerCAmelCase   (   unittest.TestCase				):







							'''simple docstring'''

							def 	lowercase							(self  )					->       List[str]:
														_snake_case       =  {
														    """task_specific_params""": {
														        """summarization""": {"""length_penalty""": 1.0, """max_length""": 128, """min_length""": 12, """num_beams""": 4},
														        """summarization_cnn""": {"""length_penalty""": 2.0, """max_length""": 142, """min_length""": 56, """num_beams""": 4},
														        """summarization_xsum""": {"""length_penalty""": 1.0, """max_length""": 62, """min_length""": 11, """num_beams""": 6},
														    }
														}
														_snake_case       =  {
														    """task_specific_params.summarization.length_penalty""": 1.0,
														    """task_specific_params.summarization.max_length""": 128,
														    """task_specific_params.summarization.min_length""": 12,
														    """task_specific_params.summarization.num_beams""": 4,
														    """task_specific_params.summarization_cnn.length_penalty""": 2.0,
														    """task_specific_params.summarization_cnn.max_length""": 142,
														    """task_specific_params.summarization_cnn.min_length""": 56,
														    """task_specific_params.summarization_cnn.num_beams""": 4,
														    """task_specific_params.summarization_xsum.length_penalty""": 1.0,
														    """task_specific_params.summarization_xsum.max_length""": 62,
														    """task_specific_params.summarization_xsum.min_length""": 11,
														    """task_specific_params.summarization_xsum.num_beams""": 6,
														}

														self.assertEqual(flatten_dict(UpperCAmelCase  )  ,  UpperCAmelCase  )

							def 	lowercase							(self  )					->       Union[str, Any]:
														_snake_case       =  np.random.randn(3  ,  4  )
														self.assertTrue(np.allclose(transpose(UpperCAmelCase  )  ,  x.transpose()  )  )

														_snake_case       =  np.random.randn(3  ,  4  ,  5  )
														self.assertTrue(np.allclose(transpose(UpperCAmelCase  ,  axes=(1, 2, 0)  )  ,  x.transpose((1, 2, 0)  )  )  )

							@require_torch
							def 	lowercase							(self  )					->       Dict:
														_snake_case       =  np.random.randn(3  ,  4  )
														_snake_case       =  torch.tensor(UpperCAmelCase  )
														self.assertTrue(np.allclose(transpose(UpperCAmelCase  )  ,  transpose(UpperCAmelCase  ).numpy()  )  )

														_snake_case       =  np.random.randn(3  ,  4  ,  5  )
														_snake_case       =  torch.tensor(UpperCAmelCase  )
														self.assertTrue(np.allclose(transpose(UpperCAmelCase  ,  axes=(1, 2, 0)  )  ,  transpose(UpperCAmelCase  ,  axes=(1, 2, 0)  ).numpy()  )  )

							@require_tf
							def 	lowercase							(self  )					->       Tuple:
														_snake_case       =  np.random.randn(3  ,  4  )
														_snake_case       =  tf.constant(UpperCAmelCase  )
														self.assertTrue(np.allclose(transpose(UpperCAmelCase  )  ,  transpose(UpperCAmelCase  ).numpy()  )  )

														_snake_case       =  np.random.randn(3  ,  4  ,  5  )
														_snake_case       =  tf.constant(UpperCAmelCase  )
														self.assertTrue(np.allclose(transpose(UpperCAmelCase  ,  axes=(1, 2, 0)  )  ,  transpose(UpperCAmelCase  ,  axes=(1, 2, 0)  ).numpy()  )  )

							@require_flax
							def 	lowercase							(self  )					->       Dict:
														_snake_case       =  np.random.randn(3  ,  4  )
														_snake_case       =  jnp.array(UpperCAmelCase  )
														self.assertTrue(np.allclose(transpose(UpperCAmelCase  )  ,  np.asarray(transpose(UpperCAmelCase  )  )  )  )

														_snake_case       =  np.random.randn(3  ,  4  ,  5  )
														_snake_case       =  jnp.array(UpperCAmelCase  )
														self.assertTrue(np.allclose(transpose(UpperCAmelCase  ,  axes=(1, 2, 0)  )  ,  np.asarray(transpose(UpperCAmelCase  ,  axes=(1, 2, 0)  )  )  )  )

							def 	lowercase							(self  )					->       Optional[Any]:
														_snake_case       =  np.random.randn(3  ,  4  )
														self.assertTrue(np.allclose(reshape(UpperCAmelCase  ,  (4, 3)  )  ,  np.reshape(UpperCAmelCase  ,  (4, 3)  )  )  )

														_snake_case       =  np.random.randn(3  ,  4  ,  5  )
														self.assertTrue(np.allclose(reshape(UpperCAmelCase  ,  (12, 5)  )  ,  np.reshape(UpperCAmelCase  ,  (12, 5)  )  )  )

							@require_torch
							def 	lowercase							(self  )					->       Any:
														_snake_case       =  np.random.randn(3  ,  4  )
														_snake_case       =  torch.tensor(UpperCAmelCase  )
														self.assertTrue(np.allclose(reshape(UpperCAmelCase  ,  (4, 3)  )  ,  reshape(UpperCAmelCase  ,  (4, 3)  ).numpy()  )  )

														_snake_case       =  np.random.randn(3  ,  4  ,  5  )
														_snake_case       =  torch.tensor(UpperCAmelCase  )
														self.assertTrue(np.allclose(reshape(UpperCAmelCase  ,  (12, 5)  )  ,  reshape(UpperCAmelCase  ,  (12, 5)  ).numpy()  )  )

							@require_tf
							def 	lowercase							(self  )					->       Optional[Any]:
														_snake_case       =  np.random.randn(3  ,  4  )
														_snake_case       =  tf.constant(UpperCAmelCase  )
														self.assertTrue(np.allclose(reshape(UpperCAmelCase  ,  (4, 3)  )  ,  reshape(UpperCAmelCase  ,  (4, 3)  ).numpy()  )  )

														_snake_case       =  np.random.randn(3  ,  4  ,  5  )
														_snake_case       =  tf.constant(UpperCAmelCase  )
														self.assertTrue(np.allclose(reshape(UpperCAmelCase  ,  (12, 5)  )  ,  reshape(UpperCAmelCase  ,  (12, 5)  ).numpy()  )  )

							@require_flax
							def 	lowercase							(self  )					->       List[str]:
														_snake_case       =  np.random.randn(3  ,  4  )
														_snake_case       =  jnp.array(UpperCAmelCase  )
														self.assertTrue(np.allclose(reshape(UpperCAmelCase  ,  (4, 3)  )  ,  np.asarray(reshape(UpperCAmelCase  ,  (4, 3)  )  )  )  )

														_snake_case       =  np.random.randn(3  ,  4  ,  5  )
														_snake_case       =  jnp.array(UpperCAmelCase  )
														self.assertTrue(np.allclose(reshape(UpperCAmelCase  ,  (12, 5)  )  ,  np.asarray(reshape(UpperCAmelCase  ,  (12, 5)  )  )  )  )

							def 	lowercase							(self  )					->       Optional[Any]:
														_snake_case       =  np.random.randn(1  ,  3  ,  4  )
														self.assertTrue(np.allclose(squeeze(UpperCAmelCase  )  ,  np.squeeze(UpperCAmelCase  )  )  )

														_snake_case       =  np.random.randn(1  ,  4  ,  1  ,  5  )
														self.assertTrue(np.allclose(squeeze(UpperCAmelCase  ,  axis=2  )  ,  np.squeeze(UpperCAmelCase  ,  axis=2  )  )  )

							@require_torch
							def 	lowercase							(self  )					->       Dict:
														_snake_case       =  np.random.randn(1  ,  3  ,  4  )
														_snake_case       =  torch.tensor(UpperCAmelCase  )
														self.assertTrue(np.allclose(squeeze(UpperCAmelCase  )  ,  squeeze(UpperCAmelCase  ).numpy()  )  )

														_snake_case       =  np.random.randn(1  ,  4  ,  1  ,  5  )
														_snake_case       =  torch.tensor(UpperCAmelCase  )
														self.assertTrue(np.allclose(squeeze(UpperCAmelCase  ,  axis=2  )  ,  squeeze(UpperCAmelCase  ,  axis=2  ).numpy()  )  )

							@require_tf
							def 	lowercase							(self  )					->       int:
														_snake_case       =  np.random.randn(1  ,  3  ,  4  )
														_snake_case       =  tf.constant(UpperCAmelCase  )
														self.assertTrue(np.allclose(squeeze(UpperCAmelCase  )  ,  squeeze(UpperCAmelCase  ).numpy()  )  )

														_snake_case       =  np.random.randn(1  ,  4  ,  1  ,  5  )
														_snake_case       =  tf.constant(UpperCAmelCase  )
														self.assertTrue(np.allclose(squeeze(UpperCAmelCase  ,  axis=2  )  ,  squeeze(UpperCAmelCase  ,  axis=2  ).numpy()  )  )

							@require_flax
							def 	lowercase							(self  )					->       Tuple:
														_snake_case       =  np.random.randn(1  ,  3  ,  4  )
														_snake_case       =  jnp.array(UpperCAmelCase  )
														self.assertTrue(np.allclose(squeeze(UpperCAmelCase  )  ,  np.asarray(squeeze(UpperCAmelCase  )  )  )  )

														_snake_case       =  np.random.randn(1  ,  4  ,  1  ,  5  )
														_snake_case       =  jnp.array(UpperCAmelCase  )
														self.assertTrue(np.allclose(squeeze(UpperCAmelCase  ,  axis=2  )  ,  np.asarray(squeeze(UpperCAmelCase  ,  axis=2  )  )  )  )

							def 	lowercase							(self  )					->       Optional[int]:
														_snake_case       =  np.random.randn(3  ,  4  )
														self.assertTrue(np.allclose(expand_dims(UpperCAmelCase  ,  axis=1  )  ,  np.expand_dims(UpperCAmelCase  ,  axis=1  )  )  )

							@require_torch
							def 	lowercase							(self  )					->       str:
														_snake_case       =  np.random.randn(3  ,  4  )
														_snake_case       =  torch.tensor(UpperCAmelCase  )
														self.assertTrue(np.allclose(expand_dims(UpperCAmelCase  ,  axis=1  )  ,  expand_dims(UpperCAmelCase  ,  axis=1  ).numpy()  )  )

							@require_tf
							def 	lowercase							(self  )					->       int:
														_snake_case       =  np.random.randn(3  ,  4  )
														_snake_case       =  tf.constant(UpperCAmelCase  )
														self.assertTrue(np.allclose(expand_dims(UpperCAmelCase  ,  axis=1  )  ,  expand_dims(UpperCAmelCase  ,  axis=1  ).numpy()  )  )





							@require_flax
							def 	lowercase							(self  )					->       List[str]:
														_snake_case       =  np.random.randn(3  ,  4  )
														_snake_case       =  jnp.array(UpperCAmelCase  )
														self.assertTrue(np.allclose(expand_dims(UpperCAmelCase  ,  axis=1  )  ,  np.asarray(expand_dims(UpperCAmelCase  ,  axis=1  )  )  )  )








'''simple docstring'''
import warnings

from diffusers import StableDiffusionInpaintPipeline as StableDiffusionInpaintPipeline  # noqa F401


warnings.warn(
    'The `inpainting.py` script is outdated. Please use directly `from diffusers import'
    ' StableDiffusionInpaintPipeline` instead.'
)