





from __future__ import annotations

from random import random
from typing import Generic, TypeVar

UpperCAmelCase_  							=				TypeVar('KT')
UpperCAmelCase_  							=				TypeVar('VT')






class 					lowercase__ (			Generic[KT, VT]       ):

   '''simple docstring'''


   def __init__(					self,	__magic_name__ = "root",	__magic_name__ = None							)				->   Optional[int]:






       """simple docstring"""
       UpperCamelCase__							:       Tuple      =   key
       UpperCamelCase__							:       Dict      =   value
       UpperCamelCase__							:       list[Node[KT, VT]]      =   []




   def __repr__(					self							)				->   str:






       """simple docstring"""
       return f"Node({self.key}: {self.value})"




   @property
   def    UpperCamelCase__						(					self							)				->   int:






       """simple docstring"""
       return len(self.forward							)






class 					lowercase__ (			Generic[KT, VT]       ):

   '''simple docstring'''


   def __init__(					self,	__magic_name__ = 0.5,	__magic_name__ = 16							)				->   Union[str, Any]:






       """simple docstring"""
       UpperCamelCase__							:       Node[KT, VT]      =   Node[KT, VT]()
       UpperCamelCase__							:       Optional[int]      =   0
       UpperCamelCase__							:       int      =   p
       UpperCamelCase__							:       Any      =   max_level




   def __str__(					self							)				->   str:






       """simple docstring"""
       UpperCamelCase__							:       Optional[Any]      =   list(self							)

       if len(__magic_name__							) == 0:
           return f"SkipList(level={self.level})"

       UpperCamelCase__							:       List[Any]      =   max((len(str(__magic_name__							)							) for item in items),	default=4							)
       UpperCamelCase__							:       List[Any]      =   max(__magic_name__,	4							) + 4

       UpperCamelCase__							:       List[str]      =   self.head
       UpperCamelCase__							:       str      =   []

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

       while len(node.forward							) != 0:
           UpperCamelCase__							:       Optional[int]      =   node.forward[0]

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

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




   def __iter__(					self							)				->   Tuple:






       """simple docstring"""
       UpperCamelCase__							:       str      =   self.head

       while len(node.forward							) != 0:
           yield node.forward[0].key
           UpperCamelCase__							:       Optional[Any]      =   node.forward[0]




   def    UpperCamelCase__						(					self							)				->   int:






       """simple docstring"""
       UpperCamelCase__							:       Dict      =   1
       while random() < self.p and level < self.max_level:
           level += 1

       return level




   def    UpperCamelCase__						(					self,	__magic_name__							)				->   tuple[Node[KT, VT] | None, list[Node[KT, VT]]]:






       """simple docstring"""
       UpperCamelCase__							:       Optional[Any]      =   []

       UpperCamelCase__							:       List[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:
               UpperCamelCase__							:       str      =   node.forward[i]
           # Each leftmost node (relative to searched node) will potentially have to
           # be updated.
           update_vector.append(__magic_name__							)

       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    UpperCamelCase__						(					self,	__magic_name__							)				->   str:






       """simple docstring"""
       UpperCamelCase__     ,UpperCamelCase__							:       Tuple      =   self._locate_node(__magic_name__							)

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




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






       """simple docstring"""
       UpperCamelCase__     ,UpperCamelCase__							:       Union[str, Any]      =   self._locate_node(__magic_name__							)
       if node is not None:
           UpperCamelCase__							:       int      =   value
       else:
           UpperCamelCase__							:       Tuple      =   self.random_level()

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

           UpperCamelCase__							:       List[Any]      =   Node(__magic_name__,	__magic_name__							)

           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(__magic_name__							)
               else:
                   UpperCamelCase__							:       Dict      =   new_node




   def    UpperCamelCase__						(					self,	__magic_name__							)				->   VT | None:






       """simple docstring"""
       UpperCamelCase__     ,UpperCamelCase__							:       Dict      =   self._locate_node(__magic_name__							)

       if node is not None:
           return node.value

       return None




def 	lowerCAmelCase_					(						)   ->			Optional[Any]:
    UpperCamelCase__							:       Optional[int]      =   SkipList()
    skip_list.insert('''Key1'''	,     3   )
    skip_list.insert('''Key2'''	,     12   )
    skip_list.insert('''Key3'''	,     41   )
    skip_list.insert('''Key4'''	,     -19   )

    UpperCamelCase__							:       Optional[Any]      =   skip_list.head
    UpperCamelCase__							:       Tuple      =   {}
    while node.level != 0:
        UpperCamelCase__							:       Optional[int]      =   node.forward[0]
        UpperCamelCase__							:       Optional[Any]      =   node.value

    assert len(__UpperCAmelCase   ) == 4
    assert all_values["Key1"] == 3
    assert all_values["Key2"] == 12
    assert all_values["Key3"] == 41
    assert all_values["Key4"] == -19




def 	lowerCAmelCase_					(						)   ->			Any:
    UpperCamelCase__							:       Union[str, Any]      =   SkipList()
    skip_list.insert('''Key1'''	,     10   )
    skip_list.insert('''Key1'''	,     12   )

    skip_list.insert('''Key5'''	,     7   )
    skip_list.insert('''Key7'''	,     10   )
    skip_list.insert('''Key10'''	,     5   )

    skip_list.insert('''Key7'''	,     7   )
    skip_list.insert('''Key5'''	,     5   )
    skip_list.insert('''Key10'''	,     10   )

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

    if len(__UpperCAmelCase   ) != 4:
        print()
    assert len(__UpperCAmelCase   ) == 4
    assert all_values["Key1"] == 12
    assert all_values["Key7"] == 7
    assert all_values["Key5"] == 5
    assert all_values["Key10"] == 10




def 	lowerCAmelCase_					(						)   ->			Optional[int]:
    UpperCamelCase__							:       Dict      =   SkipList()
    assert skip_list.find('''Some key'''   ) is None




def 	lowerCAmelCase_					(						)   ->			Tuple:
    UpperCamelCase__							:       Optional[Any]      =   SkipList()

    skip_list.insert('''Key2'''	,     20   )
    assert skip_list.find('''Key2'''   ) == 20

    skip_list.insert('''Some Key'''	,     10   )
    skip_list.insert('''Key2'''	,     8   )
    skip_list.insert('''V'''	,     13   )

    assert skip_list.find('''Y'''   ) is None
    assert skip_list.find('''Key2'''   ) == 8
    assert skip_list.find('''Some Key'''   ) == 10
    assert skip_list.find('''V'''   ) == 13




def 	lowerCAmelCase_					(						)   ->			List[Any]:
    UpperCamelCase__							:       int      =   SkipList()
    skip_list.delete('''Some key'''   )

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




def 	lowerCAmelCase_					(						)   ->			List[Any]:
    UpperCamelCase__							:       Optional[int]      =   SkipList()

    skip_list.insert('''Key1'''	,     12   )
    skip_list.insert('''V'''	,     13   )
    skip_list.insert('''X'''	,     14   )
    skip_list.insert('''Key2'''	,     15   )

    skip_list.delete('''V'''   )
    skip_list.delete('''Key2'''   )

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




def 	lowerCAmelCase_					(						)   ->			List[Any]:
    UpperCamelCase__							:       int      =   SkipList()

    skip_list.insert('''Key1'''	,     12   )
    skip_list.insert('''V'''	,     13   )
    skip_list.insert('''X'''	,     14   )
    skip_list.insert('''Key2'''	,     15   )

    skip_list.delete('''V'''   )
    assert skip_list.find('''V'''   ) is None
    assert skip_list.find('''X'''   ) == 14
    assert skip_list.find('''Key1'''   ) == 12
    assert skip_list.find('''Key2'''   ) == 15

    skip_list.delete('''X'''   )
    assert skip_list.find('''V'''   ) is None
    assert skip_list.find('''X'''   ) is None
    assert skip_list.find('''Key1'''   ) == 12
    assert skip_list.find('''Key2'''   ) == 15

    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'''   ) == 15

    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 	lowerCAmelCase_					(						)   ->			Union[str, Any]:
    UpperCamelCase__							:       str      =   SkipList()

    skip_list.insert('''Key1'''	,     12   )
    skip_list.insert('''V'''	,     13   )
    skip_list.insert('''X'''	,     142   )
    skip_list.insert('''Key2'''	,     15   )

    skip_list.delete('''X'''   )

    def traverse_keys(__UpperCAmelCase:    int   ):
        yield node.key
        for forward_node in node.forward:
            yield from traverse_keys(__UpperCAmelCase   )

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




def 	lowerCAmelCase_					(						)   ->			List[Any]:
    def is_sorted(__UpperCAmelCase:    Union[str, Any]   ):
        return all(next_item >= item for item, next_item in zip(__UpperCAmelCase	,     lst[1:]   )   )

    UpperCamelCase__							:       Any      =   SkipList()
    for i in range(10   ):
        skip_list.insert(__UpperCAmelCase	,     __UpperCAmelCase   )
    assert is_sorted(list(__UpperCAmelCase   )   )
    skip_list.delete(5   )
    skip_list.delete(8   )
    skip_list.delete(2   )
    assert is_sorted(list(__UpperCAmelCase   )   )
    skip_list.insert(-12	,     -12   )
    skip_list.insert(77	,     77   )
    assert is_sorted(list(__UpperCAmelCase   )   )




def 	lowerCAmelCase_					(						)   ->			Optional[Any]:
    for _ in range(100   ):
        # 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 	lowerCAmelCase_					(						)   ->			int:
    UpperCamelCase__							:       Union[str, Any]      =   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(__UpperCAmelCase   )


if __name__ == "__main__":
  import doctest

  doctest.testmod()
  main()








import unittest

from transformers import BigBirdConfig, is_flax_available
from transformers.testing_utils import require_flax, slow

from ...test_modeling_flax_common import FlaxModelTesterMixin, ids_tensor, random_attention_mask


if is_flax_available():
  import jax

  from transformers.models.big_bird.modeling_flax_big_bird import (
      FlaxBigBirdForCausalLM,
      FlaxBigBirdForMaskedLM,
      FlaxBigBirdForMultipleChoice,
      FlaxBigBirdForPreTraining,
      FlaxBigBirdForQuestionAnswering,
      FlaxBigBirdForSequenceClassification,
      FlaxBigBirdForTokenClassification,
      FlaxBigBirdModel,
  )






class 					lowercase__ (			unittest.TestCase       ):

   '''simple docstring'''


   def __init__(					self,	__magic_name__,	__magic_name__=2,	__magic_name__=56,	__magic_name__=True,	__magic_name__=True,	__magic_name__=True,	__magic_name__=True,	__magic_name__=99,	__magic_name__=32,	__magic_name__=2,	__magic_name__=2,	__magic_name__=7,	__magic_name__="gelu_new",	__magic_name__=0.1,	__magic_name__=0.1,	__magic_name__=512,	__magic_name__=16,	__magic_name__=2,	__magic_name__=0.02,	__magic_name__=4,	__magic_name__="block_sparse",	__magic_name__=True,	__magic_name__=False,	__magic_name__=2,	__magic_name__=3,	)				->   Optional[int]:






       """simple docstring"""
       UpperCamelCase__							:       List[str]      =   parent
       UpperCamelCase__							:       List[Any]      =   batch_size
       UpperCamelCase__							:       str      =   seq_length
       UpperCamelCase__							:       List[str]      =   is_training
       UpperCamelCase__							:       List[Any]      =   use_attention_mask
       UpperCamelCase__							:       Any      =   use_token_type_ids
       UpperCamelCase__							:       Tuple      =   use_labels
       UpperCamelCase__							:       Any      =   vocab_size
       UpperCamelCase__							:       Optional[int]      =   hidden_size
       UpperCamelCase__							:       Union[str, Any]      =   num_hidden_layers
       UpperCamelCase__							:       Optional[Any]      =   num_attention_heads
       UpperCamelCase__							:       List[str]      =   intermediate_size
       UpperCamelCase__							:       List[str]      =   hidden_act
       UpperCamelCase__							:       Union[str, Any]      =   hidden_dropout_prob
       UpperCamelCase__							:       Union[str, Any]      =   attention_probs_dropout_prob
       UpperCamelCase__							:       int      =   max_position_embeddings
       UpperCamelCase__							:       List[Any]      =   type_vocab_size
       UpperCamelCase__							:       Tuple      =   type_sequence_label_size
       UpperCamelCase__							:       Optional[Any]      =   initializer_range
       UpperCamelCase__							:       Dict      =   num_choices

       UpperCamelCase__							:       Dict      =   rescale_embeddings
       UpperCamelCase__							:       Tuple      =   attention_type
       UpperCamelCase__							:       Union[str, Any]      =   use_bias
       UpperCamelCase__							:       Union[str, Any]      =   block_size
       UpperCamelCase__							:       Optional[int]      =   num_random_blocks




   def    UpperCamelCase__						(					self							)				->   int:






       """simple docstring"""
       UpperCamelCase__							:       int      =   ids_tensor([self.batch_size, self.seq_length],	self.vocab_size							)

       UpperCamelCase__							:       int      =   None
       if self.use_attention_mask:
           UpperCamelCase__							:       List[str]      =   random_attention_mask([self.batch_size, self.seq_length]							)

       UpperCamelCase__							:       Optional[int]      =   None
       if self.use_token_type_ids:
           UpperCamelCase__							:       List[str]      =   ids_tensor([self.batch_size, self.seq_length],	self.type_vocab_size							)

       UpperCamelCase__							:       str      =   BigBirdConfig(
           vocab_size=self.vocab_size,	hidden_size=self.hidden_size,	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,	is_decoder=__magic_name__,	initializer_range=self.initializer_range,	attention_type=self.attention_type,	block_size=self.block_size,	num_random_blocks=self.num_random_blocks,	use_bias=self.use_bias,	rescale_embeddings=self.rescale_embeddings,	)

       return config, input_ids, token_type_ids, attention_mask




   def    UpperCamelCase__						(					self							)				->   str:






       """simple docstring"""
       UpperCamelCase__							:       List[str]      =   self.prepare_config_and_inputs()
       UpperCamelCase__     ,UpperCamelCase__     ,UpperCamelCase__     ,UpperCamelCase__							:       Tuple      =   config_and_inputs
       UpperCamelCase__							:       Union[str, Any]      =   {
           '''input_ids''': input_ids,
           '''token_type_ids''': token_type_ids,
           '''attention_mask''': attention_mask,
       }
       return config, inputs_dict






@require_flax
class 					lowercase__ (			__lowerCamelCase    ,       unittest.TestCase       ):

   '''simple docstring'''


   a		:							Any     	=	(
       (
           FlaxBigBirdForCausalLM,
           FlaxBigBirdModel,
           FlaxBigBirdForPreTraining,
           FlaxBigBirdForMaskedLM,
           FlaxBigBirdForMultipleChoice,
           FlaxBigBirdForQuestionAnswering,
           FlaxBigBirdForSequenceClassification,
           FlaxBigBirdForTokenClassification,
       )
       if is_flax_available()
       else ()
   )

   a		:							List[str]     	=	False
   a		:							str     	=	False




   def    UpperCamelCase__						(					self							)				->   Any:






       """simple docstring"""
       UpperCamelCase__							:       Union[str, Any]      =   FlaxBigBirdModelTester(self							)




   @slow
   # copied from `test_modeling_flax_common` because it takes much longer than other models
   def    UpperCamelCase__						(					self							)				->   Dict:






       """simple docstring"""
       super().test_from_pretrained_save_pretrained()




   @slow
   # copied from `test_modeling_flax_common` because it takes much longer than other models
   def    UpperCamelCase__						(					self							)				->   Optional[Any]:






       """simple docstring"""
       super().test_from_pretrained_with_no_automatic_init()




   @slow
   # copied from `test_modeling_flax_common` because it takes much longer than other models
   def    UpperCamelCase__						(					self							)				->   Dict:






       """simple docstring"""
       super().test_no_automatic_init()




   @slow
   # copied from `test_modeling_flax_common` because it takes much longer than other models
   def    UpperCamelCase__						(					self							)				->   Optional[Any]:






       """simple docstring"""
       super().test_hidden_states_output()




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






       """simple docstring"""
       for model_class_name in self.all_model_classes:
           UpperCamelCase__							:       List[str]      =   model_class_name.from_pretrained('''google/bigbird-roberta-base'''							)
           self.assertIsNotNone(__magic_name__							)




   def    UpperCamelCase__						(					self							)				->   str:






       """simple docstring"""
       if self.test_attn_probs:
           super().test_attention_outputs()




   @slow
   # copied from `test_modeling_flax_common` because it takes much longer than other models
   def    UpperCamelCase__						(					self							)				->   Any:






       """simple docstring"""
       UpperCamelCase__     ,UpperCamelCase__							:       Dict      =   self.model_tester.prepare_config_and_inputs_for_common()

       for model_class in self.all_model_classes:
           with self.subTest(model_class.__name__							):
               UpperCamelCase__							:       Union[str, Any]      =   self._prepare_for_class(__magic_name__,	__magic_name__							)
               UpperCamelCase__							:       Tuple      =   model_class(__magic_name__							)

               @jax.jit
               def model_jitted(__magic_name__,	__magic_name__=None,	**__magic_name__							):
                   return model(input_ids=__magic_name__,	attention_mask=__magic_name__,	**__magic_name__							)

               with self.subTest('''JIT Enabled'''							):
                   UpperCamelCase__							:       str      =   model_jitted(**__magic_name__							).to_tuple()

               with self.subTest('''JIT Disabled'''							):
                   with jax.disable_jit():
                       UpperCamelCase__							:       Dict      =   model_jitted(**__magic_name__							).to_tuple()

               self.assertEqual(len(__magic_name__							),	len(__magic_name__							)							)
               for jitted_output, output in zip(__magic_name__,	__magic_name__							):
                   self.assertEqual(jitted_output.shape,	output.shape							)




   def    UpperCamelCase__						(					self,	__magic_name__,	__magic_name__,	__magic_name__,	__magic_name__=1E-5,	__magic_name__="outputs",	__magic_name__=None							)				->   List[Any]:






       """simple docstring"""
       # `bigbird_block_sparse_attention` in `FlaxBigBird` returns `attention_probs = None`, while in PyTorch version,
       # an effort was done to return `attention_probs` (yet to be verified).
       if name.startswith('''outputs.attentions'''							):
           return
       else:
           super().check_pt_flax_outputs(__magic_name__,	__magic_name__,	__magic_name__,	__magic_name__,	__magic_name__,	__magic_name__							)

