from typing import Optional, Union

import torch
from torch import nn

from ...configuration_utils import ConfigMixin, register_to_config
from ...models.modeling_utils import ModelMixin




class 	__A				(			snake_case_		,     snake_case_     ):



    @register_to_config
    def __init__(self   :   str       ,      __a   :   List[str] = 768       ,      ):
         super().__init__()

         UpperCAmelCase_	   =       nn.Parameter(torch.zeros(1       ,      __a			)			)
         UpperCAmelCase_	   =       nn.Parameter(torch.ones(1       ,      __a			)			)



    def  _lowercase						(self   :   int       ,      __a   :   Union[str, Any] = None       ,      __a   :   List[Any] = None       ,      ):
         UpperCAmelCase_	   =       nn.Parameter(self.mean.to(__a			).to(__a			)			)
         UpperCAmelCase_	   =       nn.Parameter(self.std.to(__a			).to(__a			)			)
         return self



    def  _lowercase						(self   :   Optional[Any]       ,      __a   :   Any			):
         UpperCAmelCase_	   =       (embeds - self.mean) * 1.0 / self.std
         return embeds






    def  _lowercase						(self   :   Tuple       ,      __a   :   int			):
         UpperCAmelCase_	   =       (embeds * self.std) + self.mean
         return embeds





'''simple docstring'''





from unittest import TestCase

from datasets import Dataset
from minhash_deduplication import deduplicate_dataset, make_duplicate_clusters





def      lowerCAmelCase_    ( )   ->				str:


     '''simple docstring'''




     UpperCAmelCase_	   =       {
         "repo_name": ["test_repo1", "test_repo2", "test_repo3"],
         "path": ["test_1.py", "test_2.py", "unit_test.py"],
         "content": ["a " * 20, "a " * 30, "b " * 7],
     }
     UpperCAmelCase_	   =       Dataset.from_dict(snake_case_      )
     return dataset






class 	__A				(			UpperCamelCase__     ):



    def  _lowercase						(self   :   str			):
         UpperCAmelCase_	   =       get_dataset()
         UpperCAmelCase_	   =       make_duplicate_clusters(__a       ,      0.85			)
         self.assertEqual(len(duplicate_clusters[0]			)       ,      2			)






    def  _lowercase						(self   :   Optional[Any]			):
         UpperCAmelCase_	   =       get_dataset()
         UpperCAmelCase_   ,			UpperCAmelCase_	   =       deduplicate_dataset(__a			)
         self.assertEqual(len(__a			)       ,      2			)
         print(__a			)
         self.assertEqual(duplicate_clusters[0][0]["copies"]       ,      2			)
         self.assertEqual(duplicate_clusters[0][0]["is_extreme"]       ,      __a			)




