

from __future__ import annotations

from random import random
from typing import Generic, TypeVar

__UpperCAmelCase								=			TypeVar("""KT""")
__UpperCAmelCase								=			TypeVar("""VT""")



class SCREAMING_SNAKE_CASE     (  Generic[KT, VT]			):
  """simple docstring"""






  def __init__(      self			:   List[str]	,							lowerCAmelCase			:   KT | str = "root"	,							lowerCAmelCase			:   VT | None = None   )							->     Optional[Any]:






     """simple docstring"""







     __lowerCAmelCase  :      Optional[Any]    =						key
     __lowerCAmelCase  :      Union[str, Any]    =						value
     __lowerCAmelCase  :      list[Node[KT, VT]]    =						[]







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






     """simple docstring"""







     return f'''Node({self.key}: {self.value})'''







  @property
  def 	SCREAMING_SNAKE_CASE   (      self			:   int   )							->     int:






     """simple docstring"""







     return len(self.forward   )






class SCREAMING_SNAKE_CASE     (  Generic[KT, VT]			):
  """simple docstring"""






  def __init__(      self			:   Tuple	,							lowerCAmelCase			:   float = 0.5	,							lowerCAmelCase			:   int = 16   )							->     Optional[Any]:






     """simple docstring"""







     __lowerCAmelCase  :      Node[KT, VT]    =						Node[KT, VT]()
     __lowerCAmelCase  :      Optional[Any]    =						0
     __lowerCAmelCase  :      Dict    =						p
     __lowerCAmelCase  :      Optional[Any]    =						max_level







  def __str__(      self			:   str   )							->     str:






     """simple docstring"""







     __lowerCAmelCase  :      int    =						list(self   )

     if len(lowerCAmelCase   ) == 0:
        return f'''SkipList(level={self.level})'''

     __lowerCAmelCase  :      Union[str, Any]    =						max((len(str(lowerCAmelCase   )   ) for item in items)	,							default=4   )
     __lowerCAmelCase  :      int    =						max(lowerCAmelCase	,							4   ) + 4

     __lowerCAmelCase  :      int    =						self.head
     __lowerCAmelCase  :      Union[str, Any]    =						[]

     __lowerCAmelCase  :      Any    =						node.forward.copy()
     lines.append(f'''[{node.key}]'''.ljust(lowerCAmelCase	,							"""-"""   ) + """* """ * len(lowerCAmelCase   )   )
     lines.append(""" """ * label_size + """| """ * len(lowerCAmelCase   )   )

     while len(node.forward   ) != 0:
        __lowerCAmelCase  :      Dict    =						node.forward[0]

        lines.append(
            f'''[{node.key}]'''.ljust(lowerCAmelCase	,							"""-"""   )
            + """ """.join(str(n.key   ) if n.key == node.key else """|""" for n in forwards   )   )
        lines.append(""" """ * label_size + """| """ * len(lowerCAmelCase   )   )
        __lowerCAmelCase  :      Tuple    =						node.forward

     lines.append("""None""".ljust(lowerCAmelCase   ) + """* """ * len(lowerCAmelCase   )   )
     return f'''SkipList(level={self.level})\n''' + "\n".join(lowerCAmelCase   )







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






     """simple docstring"""







     __lowerCAmelCase  :      Optional[Any]    =						self.head

     while len(node.forward   ) != 0:
        yield node.forward[0].key
        __lowerCAmelCase  :      List[str]    =						node.forward[0]







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






     """simple docstring"""







     __lowerCAmelCase  :      Any    =						1
     while random() < self.p and level < self.max_level:
        level += 1

     return level







  def 	SCREAMING_SNAKE_CASE   (      self			:   List[Any]	,							lowerCAmelCase			:   List[str]   )							->     tuple[Node[KT, VT] | None, list[Node[KT, VT]]]:






     """simple docstring"""







     __lowerCAmelCase  :      Optional[int]    =						[]

     __lowerCAmelCase  :      str    =						self.head

     for i in reversed(range(self.level   )   ):
        # i < node.level - When node level is lesser than `i` decrement `i`.
        # node.forward[i].key < key - Jumping to node with key value higher
        #                             or equal to searched key would result
        #                             in skipping searched key.
        while i < node.level and node.forward[i].key < key:
           __lowerCAmelCase  :      Dict    =						node.forward[i]
        # Each leftmost node (relative to searched node) will potentially have to
        # be updated.
        update_vector.append(lowerCAmelCase   )

     update_vector.reverse()  # Note that we were inserting values in reverse order.

     # len(node.forward) != 0 - If current node doesn't contain any further
     #                          references then searched key is not present.
     # node.forward[0].key == key - Next node key should be equal to search key
     #                              if key is present.
     if len(node.forward   ) != 0 and node.forward[0].key == key:
        return node.forward[0], update_vector
     else:
        return None, update_vector







  def 	SCREAMING_SNAKE_CASE   (      self			:   Union[str, Any]	,							lowerCAmelCase			:   KT   )							->     Dict:






     """simple docstring"""







     __lowerCAmelCase  :      str    =						self._locate_node(lowerCAmelCase   )

     if node is not None:
        for i, update_node in enumerate(lowerCAmelCase   ):
           # Remove or replace all references to removed node.
           if update_node.level > i and update_node.forward[i].key == key:
              if node.level > i:
                 __lowerCAmelCase  :      List[str]    =						node.forward[i]
              else:
                 __lowerCAmelCase  :      List[str]    =						update_node.forward[:i]







  def 	SCREAMING_SNAKE_CASE   (      self			:   int	,							lowerCAmelCase			:   KT	,							lowerCAmelCase			:   VT   )							->     Union[str, Any]:






     """simple docstring"""







     __lowerCAmelCase  :      Any    =						self._locate_node(lowerCAmelCase   )
     if node is not None:
        __lowerCAmelCase  :      List[Any]    =						value
     else:
        __lowerCAmelCase  :      Dict    =						self.random_level()

        if level > self.level:
           # After level increase we have to add additional nodes to head.
           for _ in range(self.level - 1	,							lowerCAmelCase   ):
              update_vector.append(self.head   )
           __lowerCAmelCase  :      int    =						level

        __lowerCAmelCase  :      int    =						Node(lowerCAmelCase	,							lowerCAmelCase   )

        for i, update_node in enumerate(update_vector[:level]   ):
           # Change references to pass through new node.
           if update_node.level > i:
              new_node.forward.append(update_node.forward[i]   )

           if update_node.level < i + 1:
              update_node.forward.append(lowerCAmelCase   )
           else:
              __lowerCAmelCase  :      Union[str, Any]    =						new_node







  def 	SCREAMING_SNAKE_CASE   (      self			:   Union[str, Any]	,							lowerCAmelCase			:   VT   )							->     VT | None:






     """simple docstring"""







     __lowerCAmelCase  :      Tuple    =						self._locate_node(lowerCAmelCase   )

     if node is not None:
        return node.value

     return None






def      snake_case_				()      ->     Optional[Any]:






   """simple docstring"""




   __lowerCAmelCase  :      Tuple    =						SkipList()
   skip_list.insert("""Key1""" ,       3					)
   skip_list.insert("""Key2""" ,       1_2					)
   skip_list.insert("""Key3""" ,       4_1					)
   skip_list.insert("""Key4""" ,       -1_9					)

   __lowerCAmelCase  :      Union[str, Any]    =						skip_list.head
   __lowerCAmelCase  :      List[str]    =						{}
   while node.level != 0:
      __lowerCAmelCase  :      Optional[int]    =						node.forward[0]
      __lowerCAmelCase  :      Optional[Any]    =						node.value

   assert len(__A					) == 4
   assert all_values["Key1"] == 3
   assert all_values["Key2"] == 1_2
   assert all_values["Key3"] == 4_1
   assert all_values["Key4"] == -1_9





def      snake_case_				()      ->     Tuple:






   """simple docstring"""




   __lowerCAmelCase  :      Dict    =						SkipList()
   skip_list.insert("""Key1""" ,       1_0					)
   skip_list.insert("""Key1""" ,       1_2					)

   skip_list.insert("""Key5""" ,       7					)
   skip_list.insert("""Key7""" ,       1_0					)
   skip_list.insert("""Key10""" ,       5					)

   skip_list.insert("""Key7""" ,       7					)
   skip_list.insert("""Key5""" ,       5					)
   skip_list.insert("""Key10""" ,       1_0					)

   __lowerCAmelCase  :      Dict    =						skip_list.head
   __lowerCAmelCase  :      List[Any]    =						{}
   while node.level != 0:
      __lowerCAmelCase  :      str    =						node.forward[0]
      __lowerCAmelCase  :      Any    =						node.value

   if len(__A					) != 4:
      print()
   assert len(__A					) == 4
   assert all_values["Key1"] == 1_2
   assert all_values["Key7"] == 7
   assert all_values["Key5"] == 5
   assert all_values["Key10"] == 1_0





def      snake_case_				()      ->     Dict:






   """simple docstring"""




   __lowerCAmelCase  :      List[str]    =						SkipList()
   assert skip_list.find("""Some key"""					) is None





def      snake_case_				()      ->     str:






   """simple docstring"""




   __lowerCAmelCase  :      int    =						SkipList()

   skip_list.insert("""Key2""" ,       2_0					)
   assert skip_list.find("""Key2"""					) == 2_0

   skip_list.insert("""Some Key""" ,       1_0					)
   skip_list.insert("""Key2""" ,       8					)
   skip_list.insert("""V""" ,       1_3					)

   assert skip_list.find("""Y"""					) is None
   assert skip_list.find("""Key2"""					) == 8
   assert skip_list.find("""Some Key"""					) == 1_0
   assert skip_list.find("""V"""					) == 1_3





def      snake_case_				()      ->     int:






   """simple docstring"""




   __lowerCAmelCase  :      int    =						SkipList()
   skip_list.delete("""Some key"""					)

   assert len(skip_list.head.forward					) == 0





def      snake_case_				()      ->     int:






   """simple docstring"""




   __lowerCAmelCase  :      int    =						SkipList()

   skip_list.insert("""Key1""" ,       1_2					)
   skip_list.insert("""V""" ,       1_3					)
   skip_list.insert("""X""" ,       1_4					)
   skip_list.insert("""Key2""" ,       1_5					)

   skip_list.delete("""V"""					)
   skip_list.delete("""Key2"""					)

   assert skip_list.find("""V"""					) is None
   assert skip_list.find("""Key2"""					) is None





def      snake_case_				()      ->     str:






   """simple docstring"""




   __lowerCAmelCase  :      List[Any]    =						SkipList()

   skip_list.insert("""Key1""" ,       1_2					)
   skip_list.insert("""V""" ,       1_3					)
   skip_list.insert("""X""" ,       1_4					)
   skip_list.insert("""Key2""" ,       1_5					)

   skip_list.delete("""V"""					)
   assert skip_list.find("""V"""					) is None
   assert skip_list.find("""X"""					) == 1_4
   assert skip_list.find("""Key1"""					) == 1_2
   assert skip_list.find("""Key2"""					) == 1_5

   skip_list.delete("""X"""					)
   assert skip_list.find("""V"""					) is None
   assert skip_list.find("""X"""					) is None
   assert skip_list.find("""Key1"""					) == 1_2
   assert skip_list.find("""Key2"""					) == 1_5

   skip_list.delete("""Key1"""					)
   assert skip_list.find("""V"""					) is None
   assert skip_list.find("""X"""					) is None
   assert skip_list.find("""Key1"""					) is None
   assert skip_list.find("""Key2"""					) == 1_5

   skip_list.delete("""Key2"""					)
   assert skip_list.find("""V"""					) is None
   assert skip_list.find("""X"""					) is None
   assert skip_list.find("""Key1"""					) is None
   assert skip_list.find("""Key2"""					) is None





def      snake_case_				()      ->     str:






   """simple docstring"""




   __lowerCAmelCase  :      Dict    =						SkipList()

   skip_list.insert("""Key1""" ,       1_2					)
   skip_list.insert("""V""" ,       1_3					)
   skip_list.insert("""X""" ,       1_4_2					)
   skip_list.insert("""Key2""" ,       1_5					)

   skip_list.delete("""X"""					)

   def traverse_keys(__A					:						List[Any]					):
      yield node.key
      for forward_node in node.forward:
         yield from traverse_keys(__A					)

   assert len(set(traverse_keys(skip_list.head					)					)					) == 4





def      snake_case_				()      ->     Any:






   """simple docstring"""




   def is_sorted(__A					:						Any					):
      return all(next_item >= item for item, next_item in zip(__A ,       lst[1:]					)					)

   __lowerCAmelCase  :      Dict    =						SkipList()
   for i in range(1_0					):
      skip_list.insert(__A ,       __A					)
   assert is_sorted(list(__A					)					)
   skip_list.delete(5					)
   skip_list.delete(8					)
   skip_list.delete(2					)
   assert is_sorted(list(__A					)					)
   skip_list.insert(-1_2 ,       -1_2					)
   skip_list.insert(7_7 ,       7_7					)
   assert is_sorted(list(__A					)					)





def      snake_case_				()      ->     Optional[Any]:






   """simple docstring"""




   for _ in range(1_0_0					):
      # Repeat test 100 times due to the probabilistic nature of skip list
      # random values == random bugs
      test_insert()
      test_insert_overrides_existing_value()

      test_searching_empty_list_returns_none()
      test_search()

      test_deleting_item_from_empty_list_do_nothing()
      test_deleted_items_are_not_founded_by_find_method()
      test_delete_removes_only_given_key()
      test_delete_doesnt_leave_dead_nodes()

      test_iter_always_yields_sorted_values()





def      snake_case_				()      ->     List[Any]:






   """simple docstring"""




   __lowerCAmelCase  :      Dict    =						SkipList()
   skip_list.insert(2 ,       """2"""					)
   skip_list.insert(4 ,       """4"""					)
   skip_list.insert(6 ,       """4"""					)
   skip_list.insert(4 ,       """5"""					)
   skip_list.insert(8 ,       """4"""					)
   skip_list.insert(9 ,       """4"""					)

   skip_list.delete(4					)

   print(__A					)


if __name__ == "__main__":
   import doctest

   doctest.testmod()
   main()





import unittest

from transformers import EsmConfig, is_torch_available
from transformers.testing_utils import TestCasePlus, require_torch, slow, torch_device

from ...test_configuration_common import ConfigTester
from ...test_modeling_common import ModelTesterMixin, ids_tensor, random_attention_mask
from ...test_pipeline_mixin import PipelineTesterMixin


if is_torch_available():
   import torch

   from transformers.models.esm.modeling_esmfold import EsmForProteinFolding



class SCREAMING_SNAKE_CASE     :
  """simple docstring"""






  def __init__(      self			:   Any	,							lowerCAmelCase			:   str	,							lowerCAmelCase			:   List[Any]=13	,							lowerCAmelCase			:   List[str]=7	,							lowerCAmelCase			:   int=False	,							lowerCAmelCase			:   List[str]=True	,							lowerCAmelCase			:   List[Any]=False	,							lowerCAmelCase			:   List[str]=False	,							lowerCAmelCase			:   Optional[int]=19	,							lowerCAmelCase			:   Any=32	,							lowerCAmelCase			:   int=5	,							lowerCAmelCase			:   Optional[Any]=4	,							lowerCAmelCase			:   Optional[Any]=37	,							lowerCAmelCase			:   Dict="gelu"	,							lowerCAmelCase			:   Dict=0.1	,							lowerCAmelCase			:   Dict=0.1	,							lowerCAmelCase			:   List[str]=5_12	,							lowerCAmelCase			:   Dict=16	,							lowerCAmelCase			:   List[Any]=2	,							lowerCAmelCase			:   Union[str, Any]=0.02	,							lowerCAmelCase			:   Dict=3	,							lowerCAmelCase			:   List[Any]=4	,							lowerCAmelCase			:   Union[str, Any]=None	,							)							->     List[str]:






     """simple docstring"""







     __lowerCAmelCase  :      List[str]    =						parent
     __lowerCAmelCase  :      Tuple    =						batch_size
     __lowerCAmelCase  :      Union[str, Any]    =						seq_length
     __lowerCAmelCase  :      int    =						is_training
     __lowerCAmelCase  :      Dict    =						use_input_mask
     __lowerCAmelCase  :      Dict    =						use_token_type_ids
     __lowerCAmelCase  :      Optional[int]    =						use_labels
     __lowerCAmelCase  :      str    =						vocab_size
     __lowerCAmelCase  :      Optional[int]    =						hidden_size
     __lowerCAmelCase  :      Union[str, Any]    =						num_hidden_layers
     __lowerCAmelCase  :      Union[str, Any]    =						num_attention_heads
     __lowerCAmelCase  :      Tuple    =						intermediate_size
     __lowerCAmelCase  :      List[str]    =						hidden_act
     __lowerCAmelCase  :      Optional[int]    =						hidden_dropout_prob
     __lowerCAmelCase  :      Any    =						attention_probs_dropout_prob
     __lowerCAmelCase  :      List[str]    =						max_position_embeddings
     __lowerCAmelCase  :      Any    =						type_vocab_size
     __lowerCAmelCase  :      Union[str, Any]    =						type_sequence_label_size
     __lowerCAmelCase  :      List[str]    =						initializer_range
     __lowerCAmelCase  :      int    =						num_labels
     __lowerCAmelCase  :      Tuple    =						num_choices
     __lowerCAmelCase  :      str    =						scope







  def 	SCREAMING_SNAKE_CASE   (      self			:   Dict   )							->     Tuple:






     """simple docstring"""







     __lowerCAmelCase  :      int    =						ids_tensor([self.batch_size, self.seq_length]	,							self.vocab_size   )

     __lowerCAmelCase  :      int    =						None
     if self.use_input_mask:
        __lowerCAmelCase  :      Optional[Any]    =						random_attention_mask([self.batch_size, self.seq_length]   )

     __lowerCAmelCase  :      Any    =						None
     __lowerCAmelCase  :      Optional[Any]    =						None
     __lowerCAmelCase  :      Optional[int]    =						None
     if self.use_labels:
        __lowerCAmelCase  :      Dict    =						ids_tensor([self.batch_size]	,							self.type_sequence_label_size   )
        __lowerCAmelCase  :      Optional[Any]    =						ids_tensor([self.batch_size, self.seq_length]	,							self.num_labels   )
        __lowerCAmelCase  :      List[Any]    =						ids_tensor([self.batch_size]	,							self.num_choices   )

     __lowerCAmelCase  :      Tuple    =						self.get_config()

     return config, input_ids, input_mask, sequence_labels, token_labels, choice_labels







  def 	SCREAMING_SNAKE_CASE   (      self			:   Optional[int]   )							->     Tuple:






     """simple docstring"""







     __lowerCAmelCase  :      Tuple    =						EsmConfig(
         vocab_size=33	,							hidden_size=self.hidden_size	,							pad_token_id=1	,							num_hidden_layers=self.num_hidden_layers	,							num_attention_heads=self.num_attention_heads	,							intermediate_size=self.intermediate_size	,							hidden_act=self.hidden_act	,							hidden_dropout_prob=self.hidden_dropout_prob	,							attention_probs_dropout_prob=self.attention_probs_dropout_prob	,							max_position_embeddings=self.max_position_embeddings	,							type_vocab_size=self.type_vocab_size	,							initializer_range=self.initializer_range	,							is_folding_model=lowerCAmelCase	,							esmfold_config={"""trunk""": {"""num_blocks""": 2}, """fp16_esm""": False}	,							)
     return config







  def 	SCREAMING_SNAKE_CASE   (      self			:   Union[str, Any]	,							lowerCAmelCase			:   Any	,							lowerCAmelCase			:   Union[str, Any]	,							lowerCAmelCase			:   Any	,							lowerCAmelCase			:   Dict	,							lowerCAmelCase			:   List[Any]	,							lowerCAmelCase			:   Dict   )							->     Tuple:






     """simple docstring"""







     __lowerCAmelCase  :      List[Any]    =						EsmForProteinFolding(config=lowerCAmelCase   ).float()
     model.to(lowerCAmelCase   )
     model.eval()
     __lowerCAmelCase  :      Any    =						model(lowerCAmelCase	,							attention_mask=lowerCAmelCase   )
     __lowerCAmelCase  :      str    =						model(lowerCAmelCase   )
     __lowerCAmelCase  :      Optional[int]    =						model(lowerCAmelCase   )

     self.parent.assertEqual(result.positions.shape	,							(8, self.batch_size, self.seq_length, 14, 3)   )
     self.parent.assertEqual(result.angles.shape	,							(8, self.batch_size, self.seq_length, 7, 2)   )







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






     """simple docstring"""







     __lowerCAmelCase  :      Optional[Any]    =						self.prepare_config_and_inputs()
     (
         (
         __lowerCAmelCase
     )   ,(
         __lowerCAmelCase
     )   ,(
         __lowerCAmelCase
     )   ,(
         __lowerCAmelCase
     )   ,(
         __lowerCAmelCase
     )   ,(
         __lowerCAmelCase
     )   ,
     )  :      Optional[int]    =						config_and_inputs
     __lowerCAmelCase  :      int    =						{"""input_ids""": input_ids, """attention_mask""": input_mask}
     return config, inputs_dict






@require_torch
class SCREAMING_SNAKE_CASE     (  a_       ,							a_       ,							unittest.TestCase			):
  """simple docstring"""






  lowerCamelCase   :      Tuple										=False

  lowerCamelCase   :      int										=(EsmForProteinFolding,) if is_torch_available() else ()
  lowerCamelCase   :      int										=()
  lowerCamelCase   :      Dict										={} if is_torch_available() else {}
  lowerCamelCase   :      str										=False







  def 	SCREAMING_SNAKE_CASE   (      self			:   int   )							->     Any:






     """simple docstring"""







     __lowerCAmelCase  :      Union[str, Any]    =						EsmFoldModelTester(self   )
     __lowerCAmelCase  :      Optional[Any]    =						ConfigTester(self	,							config_class=lowerCAmelCase	,							hidden_size=37   )







  def 	SCREAMING_SNAKE_CASE   (      self			:   Optional[int]   )							->     int:






     """simple docstring"""







     self.config_tester.run_common_tests()







  def 	SCREAMING_SNAKE_CASE   (      self			:   str   )							->     int:






     """simple docstring"""







     __lowerCAmelCase  :      List[Any]    =						self.model_tester.prepare_config_and_inputs()
     self.model_tester.create_and_check_model(*lowerCAmelCase   )







  @unittest.skip("""Does not support attention outputs"""   )
  def 	SCREAMING_SNAKE_CASE   (      self			:   Dict   )							->     List[Any]:






     """simple docstring"""







     pass







  @unittest.skip
  def 	SCREAMING_SNAKE_CASE   (      self			:   Union[str, Any]   )							->     List[Any]:






     """simple docstring"""







     pass







  @unittest.skip("""Esm does not support embedding resizing"""   )
  def 	SCREAMING_SNAKE_CASE   (      self			:   str   )							->     Tuple:






     """simple docstring"""







     pass







  @unittest.skip("""Esm does not support embedding resizing"""   )
  def 	SCREAMING_SNAKE_CASE   (      self			:   Tuple   )							->     Union[str, Any]:






     """simple docstring"""







     pass







  @unittest.skip("""ESMFold does not support passing input embeds!"""   )
  def 	SCREAMING_SNAKE_CASE   (      self			:   List[str]   )							->     Optional[Any]:






     """simple docstring"""







     pass







  @unittest.skip("""ESMFold does not support head pruning."""   )
  def 	SCREAMING_SNAKE_CASE   (      self			:   Dict   )							->     Optional[int]:






     """simple docstring"""







     pass







  @unittest.skip("""ESMFold does not support head pruning."""   )
  def 	SCREAMING_SNAKE_CASE   (      self			:   Tuple   )							->     int:






     """simple docstring"""







     pass







  @unittest.skip("""ESMFold does not support head pruning."""   )
  def 	SCREAMING_SNAKE_CASE   (      self			:   Any   )							->     Dict:






     """simple docstring"""







     pass







  @unittest.skip("""ESMFold does not support head pruning."""   )
  def 	SCREAMING_SNAKE_CASE   (      self			:   Any   )							->     str:






     """simple docstring"""







     pass







  @unittest.skip("""ESMFold does not support head pruning."""   )
  def 	SCREAMING_SNAKE_CASE   (      self			:   List[Any]   )							->     Dict:






     """simple docstring"""







     pass







  @unittest.skip("""ESMFold does not output hidden states in the normal way."""   )
  def 	SCREAMING_SNAKE_CASE   (      self			:   Tuple   )							->     List[Any]:






     """simple docstring"""







     pass







  @unittest.skip("""ESMfold does not output hidden states in the normal way."""   )
  def 	SCREAMING_SNAKE_CASE   (      self			:   Optional[int]   )							->     List[str]:






     """simple docstring"""







     pass







  @unittest.skip("""ESMFold only has one output format."""   )
  def 	SCREAMING_SNAKE_CASE   (      self			:   Optional[int]   )							->     Union[str, Any]:






     """simple docstring"""







     pass







  @unittest.skip("""This test doesn't work for ESMFold and doesn't test core functionality"""   )
  def 	SCREAMING_SNAKE_CASE   (      self			:   Tuple   )							->     Optional[Any]:






     """simple docstring"""







     pass







  @unittest.skip("""ESMFold does not support input chunking."""   )
  def 	SCREAMING_SNAKE_CASE   (      self			:   Any   )							->     Any:






     """simple docstring"""







     pass







  @unittest.skip("""ESMFold doesn't respect you and it certainly doesn't respect your initialization arguments."""   )
  def 	SCREAMING_SNAKE_CASE   (      self			:   List[Any]   )							->     Union[str, Any]:






     """simple docstring"""







     pass







  @unittest.skip("""ESMFold doesn't support torchscript compilation."""   )
  def 	SCREAMING_SNAKE_CASE   (      self			:   int   )							->     Dict:






     """simple docstring"""







     pass







  @unittest.skip("""ESMFold doesn't support torchscript compilation."""   )
  def 	SCREAMING_SNAKE_CASE   (      self			:   Optional[Any]   )							->     Optional[Any]:






     """simple docstring"""







     pass







  @unittest.skip("""ESMFold doesn't support torchscript compilation."""   )
  def 	SCREAMING_SNAKE_CASE   (      self			:   int   )							->     Any:






     """simple docstring"""







     pass







  @unittest.skip("""ESMFold doesn't support data parallel."""   )
  def 	SCREAMING_SNAKE_CASE   (      self			:   Union[str, Any]   )							->     int:






     """simple docstring"""







     pass







  @unittest.skip("""Will be fixed soon by reducing the size of the model used for common tests."""   )
  def 	SCREAMING_SNAKE_CASE   (      self			:   List[Any]   )							->     List[Any]:






     """simple docstring"""







     pass






@require_torch
class SCREAMING_SNAKE_CASE     (  a_			):
  """simple docstring"""






  @slow
  def 	SCREAMING_SNAKE_CASE   (      self			:   Any   )							->     List[str]:






     """simple docstring"""







     __lowerCAmelCase  :      Dict    =						EsmForProteinFolding.from_pretrained("""facebook/esmfold_v1"""   ).float()
     model.eval()
     __lowerCAmelCase  :      Union[str, Any]    =						torch.tensor([[0, 6, 4, 13, 5, 4, 16, 12, 11, 7, 2]]   )
     __lowerCAmelCase  :      str    =						model(lowerCAmelCase   )["""positions"""]
     __lowerCAmelCase  :      str    =						torch.tensor([2.5828, 0.7993, -10.9334]	,							dtype=torch.floataa   )
     self.assertTrue(torch.allclose(position_outputs[0, 0, 0, 0]	,							lowerCAmelCase	,							atol=1e-4   )   )


