

import os

from bleurt import score  # From: git+https://github.com/google-research/bleurt.git

import datasets


A__						=							datasets.logging.get_logger(__name__)


A__						=							"\\n@inproceedings{bleurt,\n  title={BLEURT: Learning Robust Metrics for Text Generation},\n  author={Thibault Sellam and Dipanjan Das and Ankur P. Parikh},\n  booktitle={ACL},\n  year={2020},\n  url={https://arxiv.org/abs/2004.04696}\n}\n"

A__						=							"\\nBLEURT a learnt evaluation metric for Natural Language Generation. It is built using multiple phases of transfer learning starting from a pretrained BERT model (Devlin et al. 2018)\nand then employing another pre-training phrase using synthetic data. Finally it is trained on WMT human annotations. You may run BLEURT out-of-the-box or fine-tune\nit for your specific application (the latter is expected to perform better).\n\nSee the project's README at https://github.com/google-research/bleurt#readme for more information.\n"

A__						=							"\nBLEURT score.\n\nArgs:\n    `predictions` (list of str): prediction/candidate sentences\n    `references` (list of str): reference sentences\n    `checkpoint` BLEURT checkpoint. Will default to BLEURT-tiny if None.\n\nReturns:\n    'scores': List of scores.\nExamples:\n\n    >>> predictions = [\"hello there\", \"general kenobi\"]\n    >>> references = [\"hello there\", \"general kenobi\"]\n    >>> bleurt = datasets.load_metric(\"bleurt\")\n    >>> results = bleurt.compute(predictions=predictions, references=references)\n    >>> print([round(v, 2) for v in results[\"scores\"]])\n    [1.03, 1.04]\n"

A__						=							{
    "bleurt-tiny-128": "https://storage.googleapis.com/bleurt-oss/bleurt-tiny-128.zip",
    "bleurt-tiny-512": "https://storage.googleapis.com/bleurt-oss/bleurt-tiny-512.zip",
    "bleurt-base-128": "https://storage.googleapis.com/bleurt-oss/bleurt-base-128.zip",
    "bleurt-base-512": "https://storage.googleapis.com/bleurt-oss/bleurt-base-512.zip",
    "bleurt-large-128": "https://storage.googleapis.com/bleurt-oss/bleurt-large-128.zip",
    "bleurt-large-512": "https://storage.googleapis.com/bleurt-oss/bleurt-large-512.zip",
    "BLEURT-20-D3": "https://storage.googleapis.com/bleurt-oss-21/BLEURT-20-D3.zip",
    "BLEURT-20-D6": "https://storage.googleapis.com/bleurt-oss-21/BLEURT-20-D6.zip",
    "BLEURT-20-D12": "https://storage.googleapis.com/bleurt-oss-21/BLEURT-20-D12.zip",
    "BLEURT-20": "https://storage.googleapis.com/bleurt-oss-21/BLEURT-20.zip",
}

@datasets.utils.file_utils.add_start_docstrings(_DESCRIPTION  ,						_KWARGS_DESCRIPTION			)
class 				__UpperCamelCase				(					datasets.Metric			):







	def 	_SCREAMING_SNAKE_CASE							(   self: Tuple      ):

						'''simple docstring'''





						return datasets.MetricInfo(
						    description=_DESCRIPTION  , citation=_CITATION  , homepage='https://github.com/google-research/bleurt'  , inputs_description=_KWARGS_DESCRIPTION  , features=datasets.Features(
						        {
						            'predictions': datasets.Value('string'  , id='sequence'      ),
						            'references': datasets.Value('string'  , id='sequence'      ),
						        }      )  , codebase_urls=['https://github.com/google-research/bleurt']  , reference_urls=['https://github.com/google-research/bleurt', 'https://arxiv.org/abs/2004.04696']  , )







	def 	_SCREAMING_SNAKE_CASE							(   self: List[Any]  , __UpperCamelCase: str      ):

						'''simple docstring'''





						if self.config_name == "default":
											logger.warning(
											    'Using default BLEURT-Base checkpoint for sequence maximum length 128. '
											    'You can use a bigger model for better results with e.g.: datasets.load_metric(\'bleurt\', \'bleurt-large-512\').'      )
											__magic_name__							=    'bleurt-base-128'

						if self.config_name.lower() in CHECKPOINT_URLS:
											__magic_name__							=    self.config_name.lower()

						elif self.config_name.upper() in CHECKPOINT_URLS:
											__magic_name__							=    self.config_name.upper()

						else:
											raise KeyError(
											    F'{self.config_name} model not found. You should supply the name of a model checkpoint for bleurt in {CHECKPOINT_URLS.keys()}'      )

						# download the model checkpoint specified by self.config_name and set up the scorer
						__magic_name__							=    dl_manager.download_and_extract(CHECKPOINT_URLS[checkpoint_name]      )
						__magic_name__							=    score.BleurtScorer(os.path.join(__UpperCamelCase  , __UpperCamelCase      )      )







	def 	_SCREAMING_SNAKE_CASE							(   self: Any  , __UpperCamelCase: str  , __UpperCamelCase: Any      ):

						'''simple docstring'''





						__magic_name__							=    self.scorer.score(references=__UpperCamelCase  , candidates=__UpperCamelCase      )
						return {"scores": scores}







import unittest

from diffusers.models.unet_ad_blocks import *  # noqa F403
from diffusers.utils import torch_device

from .test_unet_blocks_common import UNetBlockTesterMixin

class 				__UpperCamelCase				(					SCREAMING_SNAKE_CASE  ,						unittest.TestCase			):
	_lowercase  :   str       				=  DownBlockaD  # noqa F405
	_lowercase  :   Union[str, Any]       				=  "down"







	def 	_SCREAMING_SNAKE_CASE							(   self: List[str]      ):

						'''simple docstring'''





						__magic_name__							=    [-0.0232, -0.9869, 0.8054, -0.0637, -0.1688, -1.4264, 0.4470, -1.3394, 0.0904]
						super().test_output(__UpperCamelCase      )




class 				__UpperCamelCase				(					SCREAMING_SNAKE_CASE  ,						unittest.TestCase			):
	_lowercase  :   List[str]       				=  ResnetDownsampleBlockaD  # noqa F405
	_lowercase  :   Union[str, Any]       				=  "down"







	def 	_SCREAMING_SNAKE_CASE							(   self: int      ):

						'''simple docstring'''





						__magic_name__							=    [0.0710, 0.2410, -0.7320, -1.0757, -1.1343, 0.3540, -0.0133, -0.2576, 0.0948]
						super().test_output(__UpperCamelCase      )




class 				__UpperCamelCase				(					SCREAMING_SNAKE_CASE  ,						unittest.TestCase			):
	_lowercase  :   Dict       				=  AttnDownBlockaD  # noqa F405
	_lowercase  :   List[Any]       				=  "down"







	def 	_SCREAMING_SNAKE_CASE							(   self: Any      ):

						'''simple docstring'''





						__magic_name__							=    [0.0636, 0.8964, -0.6234, -1.0131, 0.0844, 0.4935, 0.3437, 0.0911, -0.2957]
						super().test_output(__UpperCamelCase      )




class 				__UpperCamelCase				(					SCREAMING_SNAKE_CASE  ,						unittest.TestCase			):
	_lowercase  :   int       				=  CrossAttnDownBlockaD  # noqa F405
	_lowercase  :   Any       				=  "down"







	def 	_SCREAMING_SNAKE_CASE							(   self: int      ):

						'''simple docstring'''





						__magic_name__,	__magic_name__							=    super().prepare_init_args_and_inputs_for_common()
						__magic_name__							=    32
						return init_dict, inputs_dict







	def 	_SCREAMING_SNAKE_CASE							(   self: str      ):

						'''simple docstring'''





						__magic_name__							=    [0.2238, -0.7396, -0.2255, -0.3829, 0.1925, 1.1665, 0.0603, -0.7295, 0.1983]
						super().test_output(__UpperCamelCase      )




class 				__UpperCamelCase				(					SCREAMING_SNAKE_CASE  ,						unittest.TestCase			):
	_lowercase  :   Union[str, Any]       				=  SimpleCrossAttnDownBlockaD  # noqa F405
	_lowercase  :   List[str]       				=  "down"







	@property
	def 	_SCREAMING_SNAKE_CASE							(   self: Any      ):

						'''simple docstring'''





						return super().get_dummy_input(include_encoder_hidden_states=__UpperCamelCase      )







	def 	_SCREAMING_SNAKE_CASE							(   self: List[Any]      ):

						'''simple docstring'''





						__magic_name__,	__magic_name__							=    super().prepare_init_args_and_inputs_for_common()
						__magic_name__							=    32
						return init_dict, inputs_dict







	@unittest.skipIf(torch_device == 'mps'  , 'MPS result is not consistent'      )
	def 	_SCREAMING_SNAKE_CASE							(   self: List[Any]      ):

						'''simple docstring'''





						__magic_name__							=    [0.7921, -0.0992, -0.1962, -0.7695, -0.4242, 0.7804, 0.4737, 0.2765, 0.3338]
						super().test_output(__UpperCamelCase      )




class 				__UpperCamelCase				(					SCREAMING_SNAKE_CASE  ,						unittest.TestCase			):
	_lowercase  :   str       				=  SkipDownBlockaD  # noqa F405
	_lowercase  :   Union[str, Any]       				=  "down"







	@property
	def 	_SCREAMING_SNAKE_CASE							(   self: Optional[int]      ):

						'''simple docstring'''





						return super().get_dummy_input(include_skip_sample=__UpperCamelCase      )







	def 	_SCREAMING_SNAKE_CASE							(   self: List[str]      ):

						'''simple docstring'''





						__magic_name__							=    [-0.0845, -0.2087, -0.2465, 0.0971, 0.1900, -0.0484, 0.2664, 0.4179, 0.5069]
						super().test_output(__UpperCamelCase      )




class 				__UpperCamelCase				(					SCREAMING_SNAKE_CASE  ,						unittest.TestCase			):
	_lowercase  :   Tuple       				=  AttnSkipDownBlockaD  # noqa F405
	_lowercase  :   str       				=  "down"







	@property
	def 	_SCREAMING_SNAKE_CASE							(   self: List[Any]      ):

						'''simple docstring'''





						return super().get_dummy_input(include_skip_sample=__UpperCamelCase      )







	def 	_SCREAMING_SNAKE_CASE							(   self: Dict      ):

						'''simple docstring'''





						__magic_name__							=    [0.5539, 0.1609, 0.4924, 0.0537, -0.1995, 0.4050, 0.0979, -0.2721, -0.0642]
						super().test_output(__UpperCamelCase      )




class 				__UpperCamelCase				(					SCREAMING_SNAKE_CASE  ,						unittest.TestCase			):
	_lowercase  :   Optional[int]       				=  DownEncoderBlockaD  # noqa F405
	_lowercase  :   List[str]       				=  "down"







	@property
	def 	_SCREAMING_SNAKE_CASE							(   self: Union[str, Any]      ):

						'''simple docstring'''





						return super().get_dummy_input(include_temb=__UpperCamelCase      )







	def 	_SCREAMING_SNAKE_CASE							(   self: Dict      ):

						'''simple docstring'''





						__magic_name__							=    {
						    'in_channels': 32,
						    'out_channels': 32,
						}
						__magic_name__							=    self.dummy_input
						return init_dict, inputs_dict







	def 	_SCREAMING_SNAKE_CASE							(   self: List[str]      ):

						'''simple docstring'''





						__magic_name__							=    [1.1102, 0.5302, 0.4872, -0.0023, -0.8042, 0.0483, -0.3489, -0.5632, 0.7626]
						super().test_output(__UpperCamelCase      )




class 				__UpperCamelCase				(					SCREAMING_SNAKE_CASE  ,						unittest.TestCase			):
	_lowercase  :   List[Any]       				=  AttnDownEncoderBlockaD  # noqa F405
	_lowercase  :   Optional[Any]       				=  "down"







	@property
	def 	_SCREAMING_SNAKE_CASE							(   self: List[Any]      ):

						'''simple docstring'''





						return super().get_dummy_input(include_temb=__UpperCamelCase      )







	def 	_SCREAMING_SNAKE_CASE							(   self: Optional[Any]      ):

						'''simple docstring'''





						__magic_name__							=    {
						    'in_channels': 32,
						    'out_channels': 32,
						}
						__magic_name__							=    self.dummy_input
						return init_dict, inputs_dict







	def 	_SCREAMING_SNAKE_CASE							(   self: Dict      ):

						'''simple docstring'''





						__magic_name__							=    [0.8966, -0.1486, 0.8568, 0.8141, -0.9046, -0.1342, -0.0972, -0.7417, 0.1538]
						super().test_output(__UpperCamelCase      )




class 				__UpperCamelCase				(					SCREAMING_SNAKE_CASE  ,						unittest.TestCase			):
	_lowercase  :   List[Any]       				=  UNetMidBlockaD  # noqa F405
	_lowercase  :   Any       				=  "mid"







	def 	_SCREAMING_SNAKE_CASE							(   self: List[str]      ):

						'''simple docstring'''





						__magic_name__							=    {
						    'in_channels': 32,
						    'temb_channels': 1_28,
						}
						__magic_name__							=    self.dummy_input
						return init_dict, inputs_dict







	def 	_SCREAMING_SNAKE_CASE							(   self: str      ):

						'''simple docstring'''





						__magic_name__							=    [-0.1062, 1.7248, 0.3494, 1.4569, -0.0910, -1.2421, -0.9984, 0.6736, 1.0028]
						super().test_output(__UpperCamelCase      )




class 				__UpperCamelCase				(					SCREAMING_SNAKE_CASE  ,						unittest.TestCase			):
	_lowercase  :   str       				=  UNetMidBlockaDCrossAttn  # noqa F405
	_lowercase  :   int       				=  "mid"







	def 	_SCREAMING_SNAKE_CASE							(   self: List[Any]      ):

						'''simple docstring'''





						__magic_name__,	__magic_name__							=    super().prepare_init_args_and_inputs_for_common()
						__magic_name__							=    32
						return init_dict, inputs_dict







	def 	_SCREAMING_SNAKE_CASE							(   self: Tuple      ):

						'''simple docstring'''





						__magic_name__							=    [0.0187, 2.4220, 0.4484, 1.1203, -0.6121, -1.5122, -0.8270, 0.7851, 1.8335]
						super().test_output(__UpperCamelCase      )




class 				__UpperCamelCase				(					SCREAMING_SNAKE_CASE  ,						unittest.TestCase			):
	_lowercase  :   Tuple       				=  UNetMidBlockaDSimpleCrossAttn  # noqa F405
	_lowercase  :   str       				=  "mid"







	@property
	def 	_SCREAMING_SNAKE_CASE							(   self: Any      ):

						'''simple docstring'''





						return super().get_dummy_input(include_encoder_hidden_states=__UpperCamelCase      )







	def 	_SCREAMING_SNAKE_CASE							(   self: Tuple      ):

						'''simple docstring'''





						__magic_name__,	__magic_name__							=    super().prepare_init_args_and_inputs_for_common()
						__magic_name__							=    32
						return init_dict, inputs_dict







	def 	_SCREAMING_SNAKE_CASE							(   self: Any      ):

						'''simple docstring'''





						__magic_name__							=    [0.7143, 1.9974, 0.5448, 1.3977, 0.1282, -1.1237, -1.4238, 0.5530, 0.8880]
						super().test_output(__UpperCamelCase      )




class 				__UpperCamelCase				(					SCREAMING_SNAKE_CASE  ,						unittest.TestCase			):
	_lowercase  :   List[Any]       				=  UpBlockaD  # noqa F405
	_lowercase  :   List[Any]       				=  "up"







	@property
	def 	_SCREAMING_SNAKE_CASE							(   self: Tuple      ):

						'''simple docstring'''





						return super().get_dummy_input(include_res_hidden_states_tuple=__UpperCamelCase      )







	def 	_SCREAMING_SNAKE_CASE							(   self: Any      ):

						'''simple docstring'''





						__magic_name__							=    [-0.2041, -0.4165, -0.3022, 0.0041, -0.6628, -0.7053, 0.1928, -0.0325, 0.0523]
						super().test_output(__UpperCamelCase      )




class 				__UpperCamelCase				(					SCREAMING_SNAKE_CASE  ,						unittest.TestCase			):
	_lowercase  :   List[Any]       				=  ResnetUpsampleBlockaD  # noqa F405
	_lowercase  :   Dict       				=  "up"







	@property
	def 	_SCREAMING_SNAKE_CASE							(   self: Optional[int]      ):

						'''simple docstring'''





						return super().get_dummy_input(include_res_hidden_states_tuple=__UpperCamelCase      )







	def 	_SCREAMING_SNAKE_CASE							(   self: Dict      ):

						'''simple docstring'''





						__magic_name__							=    [0.2287, 0.3549, -0.1346, 0.4797, -0.1715, -0.9649, 0.7305, -0.5864, -0.6244]
						super().test_output(__UpperCamelCase      )




class 				__UpperCamelCase				(					SCREAMING_SNAKE_CASE  ,						unittest.TestCase			):
	_lowercase  :   Any       				=  CrossAttnUpBlockaD  # noqa F405
	_lowercase  :   Union[str, Any]       				=  "up"







	@property
	def 	_SCREAMING_SNAKE_CASE							(   self: Optional[int]      ):

						'''simple docstring'''





						return super().get_dummy_input(include_res_hidden_states_tuple=__UpperCamelCase      )







	def 	_SCREAMING_SNAKE_CASE							(   self: str      ):

						'''simple docstring'''





						__magic_name__,	__magic_name__							=    super().prepare_init_args_and_inputs_for_common()
						__magic_name__							=    32
						return init_dict, inputs_dict







	def 	_SCREAMING_SNAKE_CASE							(   self: Any      ):

						'''simple docstring'''





						__magic_name__							=    [-0.1403, -0.3515, -0.0420, -0.1425, 0.3167, 0.5094, -0.2181, 0.5931, 0.5582]
						super().test_output(__UpperCamelCase      )




class 				__UpperCamelCase				(					SCREAMING_SNAKE_CASE  ,						unittest.TestCase			):
	_lowercase  :   str       				=  SimpleCrossAttnUpBlockaD  # noqa F405
	_lowercase  :   Tuple       				=  "up"







	@property
	def 	_SCREAMING_SNAKE_CASE							(   self: List[str]      ):

						'''simple docstring'''





						return super().get_dummy_input(include_res_hidden_states_tuple=__UpperCamelCase  , include_encoder_hidden_states=__UpperCamelCase      )







	def 	_SCREAMING_SNAKE_CASE							(   self: Union[str, Any]      ):

						'''simple docstring'''





						__magic_name__,	__magic_name__							=    super().prepare_init_args_and_inputs_for_common()
						__magic_name__							=    32
						return init_dict, inputs_dict







	def 	_SCREAMING_SNAKE_CASE							(   self: List[Any]      ):

						'''simple docstring'''





						__magic_name__							=    [0.2645, 0.1480, 0.0909, 0.8044, -0.9758, -0.9083, 0.0994, -1.1453, -0.7402]
						super().test_output(__UpperCamelCase      )




class 				__UpperCamelCase				(					SCREAMING_SNAKE_CASE  ,						unittest.TestCase			):
	_lowercase  :   Optional[Any]       				=  AttnUpBlockaD  # noqa F405
	_lowercase  :   Optional[int]       				=  "up"







	@property
	def 	_SCREAMING_SNAKE_CASE							(   self: str      ):

						'''simple docstring'''





						return super().get_dummy_input(include_res_hidden_states_tuple=__UpperCamelCase      )







	@unittest.skipIf(torch_device == 'mps'  , 'MPS result is not consistent'      )
	def 	_SCREAMING_SNAKE_CASE							(   self: Union[str, Any]      ):

						'''simple docstring'''





						__magic_name__							=    [0.0979, 0.1326, 0.0021, 0.0659, 0.2249, 0.0059, 0.1132, 0.5952, 0.1033]
						super().test_output(__UpperCamelCase      )




class 				__UpperCamelCase				(					SCREAMING_SNAKE_CASE  ,						unittest.TestCase			):
	_lowercase  :   Union[str, Any]       				=  SkipUpBlockaD  # noqa F405
	_lowercase  :   int       				=  "up"







	@property
	def 	_SCREAMING_SNAKE_CASE							(   self: Union[str, Any]      ):

						'''simple docstring'''





						return super().get_dummy_input(include_res_hidden_states_tuple=__UpperCamelCase      )







	def 	_SCREAMING_SNAKE_CASE							(   self: Union[str, Any]      ):

						'''simple docstring'''





						__magic_name__							=    [-0.0893, -0.1234, -0.1506, -0.0332, 0.0123, -0.0211, 0.0566, 0.0143, 0.0362]
						super().test_output(__UpperCamelCase      )




class 				__UpperCamelCase				(					SCREAMING_SNAKE_CASE  ,						unittest.TestCase			):
	_lowercase  :   Union[str, Any]       				=  AttnSkipUpBlockaD  # noqa F405
	_lowercase  :   Optional[Any]       				=  "up"







	@property
	def 	_SCREAMING_SNAKE_CASE							(   self: Optional[Any]      ):

						'''simple docstring'''





						return super().get_dummy_input(include_res_hidden_states_tuple=__UpperCamelCase      )







	def 	_SCREAMING_SNAKE_CASE							(   self: Tuple      ):

						'''simple docstring'''





						__magic_name__							=    [0.0361, 0.0617, 0.2787, -0.0350, 0.0342, 0.3421, -0.0843, 0.0913, 0.3015]
						super().test_output(__UpperCamelCase      )




class 				__UpperCamelCase				(					SCREAMING_SNAKE_CASE  ,						unittest.TestCase			):
	_lowercase  :   List[str]       				=  UpDecoderBlockaD  # noqa F405
	_lowercase  :   List[str]       				=  "up"







	@property
	def 	_SCREAMING_SNAKE_CASE							(   self: List[Any]      ):

						'''simple docstring'''





						return super().get_dummy_input(include_temb=__UpperCamelCase      )







	def 	_SCREAMING_SNAKE_CASE							(   self: List[Any]      ):

						'''simple docstring'''





						__magic_name__							=    {'in_channels': 32, 'out_channels': 32}

						__magic_name__							=    self.dummy_input
						return init_dict, inputs_dict







	def 	_SCREAMING_SNAKE_CASE							(   self: Optional[Any]      ):

						'''simple docstring'''





						__magic_name__							=    [0.4404, 0.1998, -0.9886, -0.3320, -0.3128, -0.7034, -0.6955, -0.2338, -0.3137]
						super().test_output(__UpperCamelCase      )




class 				__UpperCamelCase				(					SCREAMING_SNAKE_CASE  ,						unittest.TestCase			):
	_lowercase  :   Optional[Any]       				=  AttnUpDecoderBlockaD  # noqa F405
	_lowercase  :   Any       				=  "up"







	@property
	def 	_SCREAMING_SNAKE_CASE							(   self: Dict      ):

						'''simple docstring'''





						return super().get_dummy_input(include_temb=__UpperCamelCase      )







	def 	_SCREAMING_SNAKE_CASE							(   self: str      ):

						'''simple docstring'''





						__magic_name__							=    {'in_channels': 32, 'out_channels': 32}

						__magic_name__							=    self.dummy_input
						return init_dict, inputs_dict







	def 	_SCREAMING_SNAKE_CASE							(   self: List[Any]      ):

						'''simple docstring'''





						__magic_name__							=    [0.6738, 0.4491, 0.1055, 1.0710, 0.7316, 0.3339, 0.3352, 0.1023, 0.3568]
						super().test_output(__UpperCamelCase      )




