




"""simple docstring"""


import gc
import inspect
import unittest

import torch
from parameterized import parameterized

from diffusers import PriorTransformer
from diffusers.utils import floats_tensor, slow, torch_all_close, torch_device
from diffusers.utils.testing_utils import enable_full_determinism

from .test_modeling_common import ModelTesterMixin


enable_full_determinism()


class _lowerCamelCase    (					a_       ,	unittest.TestCase						):
   _lowerCamelCase    :Any     				=     PriorTransformer
   _lowerCamelCase    :List[Any]     				=     "hidden_states"






   @property
   def 	_lowerCAmelCase   (		self   )			->						Dict:

         """simple docstring"""
         lowerCAmelCase__      :			str   =	4
         lowerCAmelCase__      :			Dict   =	8
         lowerCAmelCase__      :			Dict   =	7

         lowerCAmelCase__      :			str   =	floats_tensor((batch_size, embedding_dim)   ).to(UpperCamelCase   )

         lowerCAmelCase__      :			str   =	floats_tensor((batch_size, embedding_dim)   ).to(UpperCamelCase   )
         lowerCAmelCase__      :			Any   =	floats_tensor((batch_size, num_embeddings, embedding_dim)   ).to(UpperCamelCase   )

         return {
             "hidden_states": hidden_states,
             "timestep": 2,
             "proj_embedding": proj_embedding,
             "encoder_hidden_states": encoder_hidden_states,
         }






   def 	_lowerCAmelCase   (		self   ,     UpperCamelCase=0   )			->						Tuple:

         """simple docstring"""
         torch.manual_seed(UpperCamelCase   )
         lowerCAmelCase__      :			Dict   =	4
         lowerCAmelCase__      :			Union[str, Any]   =	8
         lowerCAmelCase__      :			List[Any]   =	7

         lowerCAmelCase__      :			str   =	torch.randn((batch_size, embedding_dim)   ).to(UpperCamelCase   )

         lowerCAmelCase__      :			Optional[int]   =	torch.randn((batch_size, embedding_dim)   ).to(UpperCamelCase   )
         lowerCAmelCase__      :			Optional[int]   =	torch.randn((batch_size, num_embeddings, embedding_dim)   ).to(UpperCamelCase   )

         return {
             "hidden_states": hidden_states,
             "timestep": 2,
             "proj_embedding": proj_embedding,
             "encoder_hidden_states": encoder_hidden_states,
         }






   @property
   def 	_lowerCAmelCase   (		self   )			->						Optional[Any]:

         """simple docstring"""
         return (4, 8)






   @property
   def 	_lowerCAmelCase   (		self   )			->						List[Any]:

         """simple docstring"""
         return (4, 8)






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

         """simple docstring"""
         lowerCAmelCase__      :			List[str]   =	{
             """num_attention_heads""": 2,
             """attention_head_dim""": 4,
             """num_layers""": 2,
             """embedding_dim""": 8,
             """num_embeddings""": 7,
             """additional_embeddings""": 4,
         }
         lowerCAmelCase__      :			Dict   =	self.dummy_input
         return init_dict, inputs_dict






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

         """simple docstring"""
         lowerCAmelCase__      :			Optional[Any]   =	PriorTransformer.from_pretrained(
             """hf-internal-testing/prior-dummy"""   ,     output_loading_info=UpperCamelCase   )
         self.assertIsNotNone(UpperCamelCase   )
         self.assertEqual(len(loading_info["""missing_keys"""]   )   ,     0   )

         model.to(UpperCamelCase   )
         lowerCAmelCase__      :			int   =	model(**self.dummy_input   )[0]

         assert hidden_states is not None, "Make sure output is not None"






   def 	_lowerCAmelCase   (		self   )			->						Optional[Any]:

         """simple docstring"""
         lowerCAmelCase__      :			Dict   =	self.prepare_init_args_and_inputs_for_common()

         lowerCAmelCase__      :			Tuple   =	self.model_class(**UpperCamelCase   )
         lowerCAmelCase__      :			Optional[Any]   =	inspect.signature(model.forward   )
         # signature.parameters is an OrderedDict => so arg_names order is deterministic
         lowerCAmelCase__      :			List[str]   =	[*signature.parameters.keys()]

         lowerCAmelCase__      :			str   =	["""hidden_states""", """timestep"""]
         self.assertListEqual(arg_names[:2]   ,     UpperCamelCase   )






   def 	_lowerCAmelCase   (		self   )			->						Dict:

         """simple docstring"""
         lowerCAmelCase__      :			Any   =	PriorTransformer.from_pretrained("""hf-internal-testing/prior-dummy"""   )
         lowerCAmelCase__      :			Union[str, Any]   =	model.to(UpperCamelCase   )

         if hasattr(UpperCamelCase   ,     """set_default_attn_processor"""   ):
               model.set_default_attn_processor()

         lowerCAmelCase__      :			str   =	self.get_dummy_seed_input()

         with torch.no_grad():
               lowerCAmelCase__      :			Union[str, Any]   =	model(**UpperCamelCase   )[0]

         lowerCAmelCase__      :			Any   =	output[0, :5].flatten().cpu()
         print(UpperCamelCase   )

         # Since the VAE Gaussian prior's generator is seeded on the appropriate device,
         # the expected output slices are not the same for CPU and GPU.
         lowerCAmelCase__      :			List[str]   =	torch.tensor([-1.3436, -0.2870, 0.7538, 0.4368, -0.0239]   )
         self.assertTrue(torch_all_close(UpperCamelCase   ,     UpperCamelCase   ,     rtol=1E-2   )   )






@slow
class _lowerCamelCase    (					unittest.TestCase						):






   def 	_lowerCAmelCase   (		self   ,     UpperCamelCase=1   ,     UpperCamelCase=7_68   ,     UpperCamelCase=77   ,     UpperCamelCase=0   )			->						Optional[Any]:

         """simple docstring"""
         torch.manual_seed(UpperCamelCase   )
         lowerCAmelCase__      :			List[str]   =	batch_size
         lowerCAmelCase__      :			List[Any]   =	embedding_dim
         lowerCAmelCase__      :			Union[str, Any]   =	num_embeddings

         lowerCAmelCase__      :			Optional[int]   =	torch.randn((batch_size, embedding_dim)   ).to(UpperCamelCase   )

         lowerCAmelCase__      :			Any   =	torch.randn((batch_size, embedding_dim)   ).to(UpperCamelCase   )
         lowerCAmelCase__      :			Optional[Any]   =	torch.randn((batch_size, num_embeddings, embedding_dim)   ).to(UpperCamelCase   )

         return {
             "hidden_states": hidden_states,
             "timestep": 2,
             "proj_embedding": proj_embedding,
             "encoder_hidden_states": encoder_hidden_states,
         }






   def 	_lowerCAmelCase   (		self   )			->						Tuple:

         """simple docstring"""
         super().tearDown()
         gc.collect()
         torch.cuda.empty_cache()






   @parameterized.expand(
       [
           # fmt: off
           [13, [-0.5861,  0.1283, -0.0931,  0.0882,  0.4476,  0.1329, -0.0498,  0.0640]],
           [37, [-0.4913,  0.0110, -0.0483,  0.0541,  0.4954, -0.0170,  0.0354,  0.1651]],
           # fmt: on
       ]   )
   def 	_lowerCAmelCase   (		self   ,     UpperCamelCase   ,     UpperCamelCase   )			->						Dict:

         """simple docstring"""
         lowerCAmelCase__      :			Optional[int]   =	PriorTransformer.from_pretrained("""kandinsky-community/kandinsky-2-1-prior"""   ,     subfolder="""prior"""   )
         model.to(UpperCamelCase   )
         lowerCAmelCase__      :			Optional[int]   =	self.get_dummy_seed_input(seed=UpperCamelCase   )

         with torch.no_grad():
               lowerCAmelCase__      :			List[Any]   =	model(**UpperCamelCase   )[0]

         assert list(sample.shape   ) == [1, 7_68]

         lowerCAmelCase__      :			Optional[int]   =	sample[0, :8].flatten().cpu()
         print(UpperCamelCase   )
         lowerCAmelCase__      :			Dict   =	torch.tensor(UpperCamelCase   )

         assert torch_all_close(UpperCamelCase   ,     UpperCamelCase   ,     atol=1E-3   )











"""simple docstring"""


import unittest

from .lib import (
    Matrix,
    Vector,
    axpy,
    square_zero_matrix,
    unit_basis_vector,
    zero_vector,
)


class _lowerCamelCase    (					unittest.TestCase						):






   def 	_lowerCAmelCase   (		self       :		Dict   )			->						None:

         """simple docstring"""
         lowerCAmelCase__      :			Tuple   =	Vector([1, 2, 3]   )
         self.assertEqual(x.component(0   )   ,     1   )
         self.assertEqual(x.component(2   )   ,     3   )
         lowerCAmelCase__      :			Union[str, Any]   =	Vector()






   def 	_lowerCAmelCase   (		self       :		Union[str, Any]   )			->						None:

         """simple docstring"""
         lowerCAmelCase__      :			str   =	Vector([0, 0, 0, 0, 0, 1]   )
         self.assertEqual(str(UpperCamelCase   )   ,     """(0,0,0,0,0,1)"""   )






   def 	_lowerCAmelCase   (		self       :		Any   )			->						None:

         """simple docstring"""
         lowerCAmelCase__      :			List[Any]   =	Vector([1, 2, 3, 4]   )
         self.assertEqual(len(UpperCamelCase   )   ,     4   )






   def 	_lowerCAmelCase   (		self       :		List[str]   )			->						None:

         """simple docstring"""
         lowerCAmelCase__      :			str   =	Vector([1, 2]   )
         lowerCAmelCase__      :			Optional[int]   =	Vector([1, 2, 3, 4, 5]   )
         lowerCAmelCase__      :			Union[str, Any]   =	Vector([0, 0, 0, 0, 0, 0, 0, 0, 0, 0]   )
         lowerCAmelCase__      :			List[Any]   =	Vector([1, -1, 1, -1, 2, -3, 4, -5]   )
         self.assertAlmostEqual(x.euclidean_length()   ,     2.236   ,     3   )
         self.assertAlmostEqual(y.euclidean_length()   ,     7.416   ,     3   )
         self.assertEqual(z.euclidean_length()   ,     0   )
         self.assertAlmostEqual(w.euclidean_length()   ,     7.616   ,     3   )






   def 	_lowerCAmelCase   (		self       :		Any   )			->						None:

         """simple docstring"""
         lowerCAmelCase__      :			int   =	Vector([1, 2, 3]   )
         lowerCAmelCase__      :			Optional[Any]   =	Vector([1, 1, 1]   )
         self.assertEqual((x + y).component(0   )   ,     2   )
         self.assertEqual((x + y).component(1   )   ,     3   )
         self.assertEqual((x + y).component(2   )   ,     4   )






   def 	_lowerCAmelCase   (		self       :		Optional[Any]   )			->						None:

         """simple docstring"""
         lowerCAmelCase__      :			Union[str, Any]   =	Vector([1, 2, 3]   )
         lowerCAmelCase__      :			Dict   =	Vector([1, 1, 1]   )
         self.assertEqual((x - y).component(0   )   ,     0   )
         self.assertEqual((x - y).component(1   )   ,     1   )
         self.assertEqual((x - y).component(2   )   ,     2   )






   def 	_lowerCAmelCase   (		self       :		Optional[Any]   )			->						None:

         """simple docstring"""
         lowerCAmelCase__      :			Any   =	Vector([1, 2, 3]   )
         lowerCAmelCase__      :			Any   =	Vector([2, -1, 4]   )  # for test of dot product
         lowerCAmelCase__      :			Any   =	Vector([1, -2, -1]   )
         self.assertEqual(str(x * 3.0   )   ,     """(3.0,6.0,9.0)"""   )
         self.assertEqual((a * b)   ,     0   )






   def 	_lowerCAmelCase   (		self       :		int   )			->						None:

         """simple docstring"""
         self.assertEqual(str(zero_vector(10   )   ).count("""0"""   )   ,     10   )






   def 	_lowerCAmelCase   (		self       :		Tuple   )			->						None:

         """simple docstring"""
         self.assertEqual(str(unit_basis_vector(3   ,     1   )   )   ,     """(0,1,0)"""   )






   def 	_lowerCAmelCase   (		self       :		Optional[Any]   )			->						None:

         """simple docstring"""
         lowerCAmelCase__      :			Tuple   =	Vector([1, 2, 3]   )
         lowerCAmelCase__      :			Optional[Any]   =	Vector([1, 0, 1]   )
         self.assertEqual(str(axpy(2   ,     UpperCamelCase   ,     UpperCamelCase   )   )   ,     """(3,4,7)"""   )






   def 	_lowerCAmelCase   (		self       :		Optional[int]   )			->						None:

         """simple docstring"""
         lowerCAmelCase__      :			Tuple   =	Vector([1, 0, 0, 0, 0, 0]   )
         lowerCAmelCase__      :			Any   =	x.copy()
         self.assertEqual(str(UpperCamelCase   )   ,     str(UpperCamelCase   )   )






   def 	_lowerCAmelCase   (		self       :		Optional[Any]   )			->						None:

         """simple docstring"""
         lowerCAmelCase__      :			Tuple   =	Vector([1, 0, 0]   )
         x.change_component(0   ,     0   )
         x.change_component(1   ,     1   )
         self.assertEqual(str(UpperCamelCase   )   ,     """(0,1,0)"""   )






   def 	_lowerCAmelCase   (		self       :		int   )			->						None:

         """simple docstring"""
         lowerCAmelCase__      :			Optional[int]   =	Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]   ,     3   ,     3   )
         self.assertEqual("""|1,2,3|\n|2,4,5|\n|6,7,8|\n"""   ,     str(UpperCamelCase   )   )






   def 	_lowerCAmelCase   (		self       :		Union[str, Any]   )			->						None:

         """simple docstring"""
         lowerCAmelCase__      :			Tuple   =	Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]   ,     3   ,     3   )
         lowerCAmelCase__      :			Dict   =	[[-3, -14, -10], [-5, -10, -5], [-2, -1, 0]]
         for x in range(a.height()   ):
               for y in range(a.width()   ):
                     self.assertEqual(minors[x][y]   ,     a.minor(UpperCamelCase   ,     UpperCamelCase   )   )






   def 	_lowerCAmelCase   (		self       :		List[Any]   )			->						None:

         """simple docstring"""
         lowerCAmelCase__      :			str   =	Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]   ,     3   ,     3   )
         lowerCAmelCase__      :			int   =	[[-3, 14, -10], [5, -10, 5], [-2, 1, 0]]
         for x in range(a.height()   ):
               for y in range(a.width()   ):
                     self.assertEqual(cofactors[x][y]   ,     a.cofactor(UpperCamelCase   ,     UpperCamelCase   )   )






   def 	_lowerCAmelCase   (		self       :		int   )			->						None:

         """simple docstring"""
         lowerCAmelCase__      :			Union[str, Any]   =	Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]   ,     3   ,     3   )
         self.assertEqual(-5   ,     a.determinant()   )






   def 	_lowerCAmelCase   (		self       :		int   )			->						None:

         """simple docstring"""
         lowerCAmelCase__      :			Optional[Any]   =	Matrix([[1, 2, 3], [4, 5, 6], [7, 8, 9]]   ,     3   ,     3   )
         lowerCAmelCase__      :			Tuple   =	Vector([1, 2, 3]   )
         self.assertEqual("""(14,32,50)"""   ,     str(a * x   )   )
         self.assertEqual("""|2,4,6|\n|8,10,12|\n|14,16,18|\n"""   ,     str(a * 2   )   )






   def 	_lowerCAmelCase   (		self       :		str   )			->						None:

         """simple docstring"""
         lowerCAmelCase__      :			Dict   =	Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]   ,     3   ,     3   )
         a.change_component(0   ,     2   ,     5   )
         self.assertEqual("""|1,2,5|\n|2,4,5|\n|6,7,8|\n"""   ,     str(UpperCamelCase   )   )






   def 	_lowerCAmelCase   (		self       :		Tuple   )			->						None:

         """simple docstring"""
         lowerCAmelCase__      :			Tuple   =	Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]   ,     3   ,     3   )
         self.assertEqual(7   ,     a.component(2   ,     1   )   ,     0.01   )






   def 	_lowerCAmelCase   (		self       :		Any   )			->						None:

         """simple docstring"""
         lowerCAmelCase__      :			Tuple   =	Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]   ,     3   ,     3   )
         lowerCAmelCase__      :			List[Any]   =	Matrix([[1, 2, 7], [2, 4, 5], [6, 7, 10]]   ,     3   ,     3   )
         self.assertEqual("""|2,4,10|\n|4,8,10|\n|12,14,18|\n"""   ,     str(a + b   )   )






   def 	_lowerCAmelCase   (		self       :		List[Any]   )			->						None:

         """simple docstring"""
         lowerCAmelCase__      :			Optional[Any]   =	Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]   ,     3   ,     3   )
         lowerCAmelCase__      :			Dict   =	Matrix([[1, 2, 7], [2, 4, 5], [6, 7, 10]]   ,     3   ,     3   )
         self.assertEqual("""|0,0,-4|\n|0,0,0|\n|0,0,-2|\n"""   ,     str(a - b   )   )






   def 	_lowerCAmelCase   (		self       :		Union[str, Any]   )			->						None:

         """simple docstring"""
         self.assertEqual(
             """|0,0,0,0,0|\n|0,0,0,0,0|\n|0,0,0,0,0|\n|0,0,0,0,0|\n|0,0,0,0,0|\n"""   ,     str(square_zero_matrix(5   )   )   ,     )


if __name__ == "__main__":
  unittest.main()





