

from __future__ import annotations

from typing import Generic, TypeVar

_SCREAMING_SNAKE_CASE  :						List[str]         =    TypeVar('''T''')






class  UpperCAmelCase__	( Generic[T] ):






  """simple docstring"""


  def __init__(							self		:	Optional[Any]			,     __lowerCamelCase		:	List[Any]      )	->							Union[str, Any]:
       SCREAMING_SNAKE_CASE__					=					data
       SCREAMING_SNAKE_CASE__					=					self
       SCREAMING_SNAKE_CASE__					=					0






class  UpperCAmelCase__	( Generic[T] ):






  """simple docstring"""


  def __init__(							self		:	Dict      )	->							Union[str, Any]:
       # map from node name to the node object
       SCREAMING_SNAKE_CASE__					=					{}






  def    lowercase_	(							self		:	int			,     __lowerCamelCase		:	Union[str, Any]      )	->							Optional[int]:
       # create a new set with x as its member
       SCREAMING_SNAKE_CASE__					=					DisjointSetTreeNode(__lowerCamelCase      )






  def    lowercase_	(							self		:	Optional[Any]			,     __lowerCamelCase		:	str      )	->							List[str]:
       # find the set x belongs to (with path-compression)
       SCREAMING_SNAKE_CASE__					=					self.map[data]
       if elem_ref != elem_ref.parent:
            SCREAMING_SNAKE_CASE__					=					self.find_set(elem_ref.parent.data      )
       return elem_ref.parent






  def    lowercase_	(							self		:	Any			,     __lowerCamelCase		:	str			,     __lowerCamelCase		:	List[Any]      )	->							Dict:
       # helper function for union operation
       if nodea.rank > nodea.rank:
            SCREAMING_SNAKE_CASE__					=					nodea
       else:
            SCREAMING_SNAKE_CASE__					=					nodea
            if nodea.rank == nodea.rank:
                 nodea.rank += 1







  def    lowercase_	(							self		:	str			,     __lowerCamelCase		:	Tuple			,     __lowerCamelCase		:	str      )	->							Any:
       # merge 2 disjoint sets
       self.link(self.find_set(__lowerCamelCase      )			,     self.find_set(__lowerCamelCase      )      )






class  UpperCAmelCase__	( Generic[T] ):






  """simple docstring"""


  def __init__(							self		:	Any      )	->							Optional[int]:
       # connections: map from the node to the neighbouring nodes (with weights)
       SCREAMING_SNAKE_CASE__					=					{}






  def    lowercase_	(							self		:	Tuple			,     __lowerCamelCase		:	int      )	->							Tuple:
       # add a node ONLY if its not present in the graph
       if node not in self.connections:
            SCREAMING_SNAKE_CASE__					=					{}






  def    lowercase_	(							self		:	Union[str, Any]			,     __lowerCamelCase		:	Any			,     __lowerCamelCase		:	Union[str, Any]			,     __lowerCamelCase		:	Dict      )	->							Any:
       # add an edge with the given weight
       self.add_node(__lowerCamelCase      )
       self.add_node(__lowerCamelCase      )
       SCREAMING_SNAKE_CASE__					=					weight
       SCREAMING_SNAKE_CASE__					=					weight







  def    lowercase_	(							self		:	str      )	->							Optional[int]:
       SCREAMING_SNAKE_CASE__					=					[]
       SCREAMING_SNAKE_CASE__					=					set()
       for start in self.connections:
            for end in self.connections[start]:
                 if (start, end) not in seen:
                      seen.add((end, start)      )
                      edges.append((start, end, self.connections[start][end])      )
       edges.sort(key=lambda __lowerCamelCase      : x[2]      )

       # creating the disjoint set
       SCREAMING_SNAKE_CASE__					=					DisjointSetTree[T]()
       for node in self.connections:
            disjoint_set.make_set(__lowerCamelCase      )

       # MST generation
       SCREAMING_SNAKE_CASE__					=					0
       SCREAMING_SNAKE_CASE__					=					0
       SCREAMING_SNAKE_CASE__					=					GraphUndirectedWeighted[T]()
       while num_edges < len(self.connections      ) - 1:
            SCREAMING_SNAKE_CASE__,SCREAMING_SNAKE_CASE__,SCREAMING_SNAKE_CASE__					=					edges[index]
            index += 1
            SCREAMING_SNAKE_CASE__					=					disjoint_set.find_set(__lowerCamelCase      )
            SCREAMING_SNAKE_CASE__					=					disjoint_set.find_set(__lowerCamelCase      )
            if parent_u != parent_v:
                 num_edges += 1
                 graph.add_edge(__lowerCamelCase			,     __lowerCamelCase			,     __lowerCamelCase      )
                 disjoint_set.union(__lowerCamelCase			,     __lowerCamelCase      )
       return graph





from collections import OrderedDict
from typing import TYPE_CHECKING, Any, List, Mapping, Optional, Union

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import TensorType, logging


if TYPE_CHECKING:
       from ...onnx.config import PatchingSpec
       from ...tokenization_utils_base import PreTrainedTokenizerBase


_SCREAMING_SNAKE_CASE  :						Any         =    logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE  :						List[str]         =    {
    '''allenai/longformer-base-4096''': '''https://huggingface.co/allenai/longformer-base-4096/resolve/main/config.json''',
    '''allenai/longformer-large-4096''': '''https://huggingface.co/allenai/longformer-large-4096/resolve/main/config.json''',
    '''allenai/longformer-large-4096-finetuned-triviaqa''': (
        '''https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/config.json'''
    ),
    '''allenai/longformer-base-4096-extra.pos.embd.only''': (
        '''https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/config.json'''
    ),
    '''allenai/longformer-large-4096-extra.pos.embd.only''': (
        '''https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/config.json'''
    ),
}






class  UpperCAmelCase__	( A__ ):






  """simple docstring"""


  a     =      "longformer"






  def __init__(							self		:	int			,     __lowerCamelCase		:	Union[List[int], int] = 512			,     __lowerCamelCase		:	int = 2			,     __lowerCamelCase		:	int = 1			,     __lowerCamelCase		:	int = 0			,     __lowerCamelCase		:	int = 2			,     __lowerCamelCase		:	int = 3_0522			,     __lowerCamelCase		:	int = 768			,     __lowerCamelCase		:	int = 12			,     __lowerCamelCase		:	int = 12			,     __lowerCamelCase		:	int = 3072			,     __lowerCamelCase		:	str = "gelu"			,     __lowerCamelCase		:	float = 0.1			,     __lowerCamelCase		:	float = 0.1			,     __lowerCamelCase		:	int = 512			,     __lowerCamelCase		:	int = 2			,     __lowerCamelCase		:	float = 0.02			,     __lowerCamelCase		:	float = 1e-12			,     __lowerCamelCase		:	bool = False			,     **__lowerCamelCase		:	Tuple			,     )	->							List[Any]:
       super().__init__(pad_token_id=__lowerCamelCase			,     **__lowerCamelCase      )

       SCREAMING_SNAKE_CASE__					=					attention_window
       SCREAMING_SNAKE_CASE__					=					sep_token_id
       SCREAMING_SNAKE_CASE__					=					bos_token_id
       SCREAMING_SNAKE_CASE__					=					eos_token_id
       SCREAMING_SNAKE_CASE__					=					vocab_size
       SCREAMING_SNAKE_CASE__					=					hidden_size
       SCREAMING_SNAKE_CASE__					=					num_hidden_layers
       SCREAMING_SNAKE_CASE__					=					num_attention_heads
       SCREAMING_SNAKE_CASE__					=					hidden_act
       SCREAMING_SNAKE_CASE__					=					intermediate_size
       SCREAMING_SNAKE_CASE__					=					hidden_dropout_prob
       SCREAMING_SNAKE_CASE__					=					attention_probs_dropout_prob
       SCREAMING_SNAKE_CASE__					=					max_position_embeddings
       SCREAMING_SNAKE_CASE__					=					type_vocab_size
       SCREAMING_SNAKE_CASE__					=					initializer_range
       SCREAMING_SNAKE_CASE__					=					layer_norm_eps
       SCREAMING_SNAKE_CASE__					=					onnx_export






class  UpperCAmelCase__	( A__ ):






  """simple docstring"""


  def __init__(							self		:	Dict			,     __lowerCamelCase		:	"PretrainedConfig"			,     __lowerCamelCase		:	str = "default"			,     __lowerCamelCase		:	"List[PatchingSpec]" = None      )	->							List[str]:
       super().__init__(__lowerCamelCase			,     __lowerCamelCase			,     __lowerCamelCase      )
       SCREAMING_SNAKE_CASE__					=					True






  @property
  def    lowercase_	(							self		:	Optional[Any]      )	->							Mapping[str, Mapping[int, str]]:
       if self.task == "multiple-choice":
            SCREAMING_SNAKE_CASE__					=					{0: '''batch''', 1: '''choice''', 2: '''sequence'''}
       else:
            SCREAMING_SNAKE_CASE__					=					{0: '''batch''', 1: '''sequence'''}
       return OrderedDict(
           [
               ('''input_ids''', dynamic_axis),
               ('''attention_mask''', dynamic_axis),
               ('''global_attention_mask''', dynamic_axis),
           ]      )






  @property
  def    lowercase_	(							self		:	Optional[int]      )	->							Mapping[str, Mapping[int, str]]:
       SCREAMING_SNAKE_CASE__					=					super().outputs
       if self.task == "default":
            SCREAMING_SNAKE_CASE__					=					{0: '''batch'''}
       return outputs






  @property
  def    lowercase_	(							self		:	Optional[int]      )	->							float:
       return 1e-4






  @property
  def    lowercase_	(							self		:	Union[str, Any]      )	->							int:
       # needs to be >= 14 to support tril operator
       return max(super().default_onnx_opset			,     14      )







  def    lowercase_	(							self		:	Dict			,     __lowerCamelCase		:	"PreTrainedTokenizerBase"			,     __lowerCamelCase		:	int = -1			,     __lowerCamelCase		:	int = -1			,     __lowerCamelCase		:	bool = False			,     __lowerCamelCase		:	Optional[TensorType] = None			,     )	->							Mapping[str, Any]:
       SCREAMING_SNAKE_CASE__					=					super().generate_dummy_inputs(
           preprocessor=__lowerCamelCase			,     batch_size=__lowerCamelCase			,     seq_length=__lowerCamelCase			,     is_pair=__lowerCamelCase			,     framework=__lowerCamelCase      )
       import torch

       # for some reason, replacing this code by inputs["global_attention_mask"] = torch.randint(2, inputs["input_ids"].shape, dtype=torch.int64)
       # makes the export fail randomly
       SCREAMING_SNAKE_CASE__					=					torch.zeros_like(inputs['''input_ids''']      )
       # make every second token global
       SCREAMING_SNAKE_CASE__					=					1

       return inputs


