





'''simple docstring'''


from collections import deque
from math import floor
from random import random
from time import time
class 				a_       :





     def __init__(			self		: int						):





        """simple docstring"""




        lowercase_      :Tuple         =			{}





     def 							lowercase__				(			self		: Union[str, Any]     ,				lowercase		: Dict     ,				lowercase		: Union[str, Any]     ,				lowercase		: int=1						):





        """simple docstring"""




        if self.graph.get(lowercase						):
           if self.graph[u].count([w, v]						) == 0:
              self.graph[u].append([w, v]						)
        else:
           lowercase_      :str         =			[[w, v]]
        if not self.graph.get(lowercase						):
           lowercase_      :Dict         =			[]





     def 							lowercase__				(			self		: Optional[Any]						):





        """simple docstring"""




        return list(self.graph						)





     def 							lowercase__				(			self		: Tuple     ,				lowercase		: Dict     ,				lowercase		: Optional[int]						):





        """simple docstring"""




        if self.graph.get(lowercase						):
           for _ in self.graph[u]:
              if _[1] == v:
                 self.graph[u].remove(lowercase						)





     def 							lowercase__				(			self		: str     ,				lowercase		: Optional[int]=-2     ,				lowercase		: Optional[int]=-1						):





        """simple docstring"""




        if s == d:
           return []
        lowercase_      :List[str]         =			[]
        lowercase_      :List[Any]         =			[]
        if s == -2:
           lowercase_      :Dict         =			list(self.graph						)[0]
        stack.append(lowercase						)
        visited.append(lowercase						)
        lowercase_      :str         =			s

        while True:
           # check if there is any non isolated nodes
           if len(self.graph[s]						) != 0:
              lowercase_      :Dict         =			s
              for node in self.graph[s]:
                 if visited.count(node[1]						) < 1:
                    if node[1] == d:
                       visited.append(lowercase						)
                       return visited
                    else:
                       stack.append(node[1]						)
                       visited.append(node[1]						)
                       lowercase_      :List[str]         =			node[1]
                       break

            # check if all the children are visited
           if s == ss:
              stack.pop()
              if len(lowercase						) != 0:
                 lowercase_      :Optional[int]         =			stack[len(lowercase						) - 1]
           else:
              lowercase_      :Dict         =			ss

           # check if se have reached the starting point
           if len(lowercase						) == 0:
              return visited





     def 							lowercase__				(			self		: List[Any]     ,				lowercase		: Any=-1						):





        """simple docstring"""




        if c == -1:
           lowercase_      :Dict         =			floor(random() * 10_000						) + 10
        for i in range(lowercase						):
           # every vertex has max 100 edges
           for _ in range(floor(random() * 102						) + 1						):
              lowercase_      :Optional[Any]         =			floor(random() * c						) + 1
              if n != i:
                 self.add_pair(lowercase     ,				lowercase     ,				1						)





     def 							lowercase__				(			self		: Dict     ,				lowercase		: str=-2						):





        """simple docstring"""




        lowercase_      :Union[str, Any]         =			deque()
        lowercase_      :Optional[Any]         =			[]
        if s == -2:
           lowercase_      :List[Any]         =			list(self.graph						)[0]
        d.append(lowercase						)
        visited.append(lowercase						)
        while d:
           lowercase_      :Optional[Any]         =			d.popleft()
           if len(self.graph[s]						) != 0:
              for node in self.graph[s]:
                 if visited.count(node[1]						) < 1:
                    d.append(node[1]						)
                    visited.append(node[1]						)
        return visited





     def 							lowercase__				(			self		: str     ,				lowercase		: Any						):





        """simple docstring"""




        lowercase_      :Any         =			0
        for x in self.graph:
           for y in self.graph[x]:
              if y[1] == u:
                 count += 1
        return count





     def 							lowercase__				(			self		: Union[str, Any]     ,				lowercase		: Any						):





        """simple docstring"""




        return len(self.graph[u]						)





     def 							lowercase__				(			self		: int     ,				lowercase		: str=-2						):





        """simple docstring"""




        lowercase_      :Optional[Any]         =			[]
        lowercase_      :Any         =			[]
        if s == -2:
           lowercase_      :int         =			list(self.graph						)[0]
        stack.append(lowercase						)
        visited.append(lowercase						)
        lowercase_      :str         =			s
        lowercase_      :List[Any]         =			[]

        while True:
           # check if there is any non isolated nodes
           if len(self.graph[s]						) != 0:
              lowercase_      :Any         =			s
              for node in self.graph[s]:
                 if visited.count(node[1]						) < 1:
                    stack.append(node[1]						)
                    visited.append(node[1]						)
                    lowercase_      :Any         =			node[1]
                    break

            # check if all the children are visited
           if s == ss:
              sorted_nodes.append(stack.pop()						)
              if len(lowercase						) != 0:
                 lowercase_      :List[str]         =			stack[len(lowercase						) - 1]
           else:
              lowercase_      :Dict         =			ss

           # check if se have reached the starting point
           if len(lowercase						) == 0:
              return sorted_nodes





     def 							lowercase__				(			self		: List[str]						):





        """simple docstring"""




        lowercase_      :int         =			[]
        lowercase_      :Tuple         =			[]
        lowercase_      :Dict         =			list(self.graph						)[0]
        stack.append(lowercase						)
        visited.append(lowercase						)
        lowercase_      :Optional[Any]         =			-2
        lowercase_      :str         =			[]
        lowercase_      :str         =			s
        lowercase_      :Any         =			False
        lowercase_      :Any         =			set()

        while True:
           # check if there is any non isolated nodes
           if len(self.graph[s]						) != 0:
              lowercase_      :int         =			s
              for node in self.graph[s]:
                 if (
                     visited.count(node[1]						) > 0
                     and node[1] != parent
                     and indirect_parents.count(node[1]						) > 0
                     and not on_the_way_back
                 ):
                    lowercase_      :Optional[Any]         =			len(lowercase						) - 1
                    while len_stack >= 0:
                       if stack[len_stack] == node[1]:
                          anticipating_nodes.add(node[1]						)
                          break
                       else:
                          anticipating_nodes.add(stack[len_stack]						)
                          len_stack -= 1
                 if visited.count(node[1]						) < 1:
                    stack.append(node[1]						)
                    visited.append(node[1]						)
                    lowercase_      :Union[str, Any]         =			node[1]
                    break

            # check if all the children are visited
           if s == ss:
              stack.pop()
              lowercase_      :Optional[Any]         =			True
              if len(lowercase						) != 0:
                 lowercase_      :Optional[int]         =			stack[len(lowercase						) - 1]
           else:
              lowercase_      :Dict         =			False
              indirect_parents.append(lowercase						)
              lowercase_      :Dict         =			s
              lowercase_      :Optional[Any]         =			ss

           # check if se have reached the starting point
           if len(lowercase						) == 0:
              return list(lowercase						)





     def 							lowercase__				(			self		: Dict						):





        """simple docstring"""




        lowercase_      :Any         =			[]
        lowercase_      :List[str]         =			[]
        lowercase_      :List[str]         =			list(self.graph						)[0]
        stack.append(lowercase						)
        visited.append(lowercase						)
        lowercase_      :List[Any]         =			-2
        lowercase_      :Optional[int]         =			[]
        lowercase_      :str         =			s
        lowercase_      :Tuple         =			False
        lowercase_      :Dict         =			set()

        while True:
           # check if there is any non isolated nodes
           if len(self.graph[s]						) != 0:
              lowercase_      :List[str]         =			s
              for node in self.graph[s]:
                 if (
                     visited.count(node[1]						) > 0
                     and node[1] != parent
                     and indirect_parents.count(node[1]						) > 0
                     and not on_the_way_back
                 ):
                    lowercase_      :Union[str, Any]         =			len(lowercase						) - 1
                    while len_stack_minus_one >= 0:
                       if stack[len_stack_minus_one] == node[1]:
                          anticipating_nodes.add(node[1]						)
                          break
                       else:
                          return True
                 if visited.count(node[1]						) < 1:
                    stack.append(node[1]						)
                    visited.append(node[1]						)
                    lowercase_      :List[str]         =			node[1]
                    break

            # check if all the children are visited
           if s == ss:
              stack.pop()
              lowercase_      :List[Any]         =			True
              if len(lowercase						) != 0:
                 lowercase_      :List[Any]         =			stack[len(lowercase						) - 1]
           else:
              lowercase_      :List[str]         =			False
              indirect_parents.append(lowercase						)
              lowercase_      :Optional[int]         =			s
              lowercase_      :Optional[Any]         =			ss

           # check if se have reached the starting point
           if len(lowercase						) == 0:
              return False





     def 							lowercase__				(			self		: Optional[Any]     ,				lowercase		: Tuple=-2     ,				lowercase		: Union[str, Any]=-1						):





        """simple docstring"""




        lowercase_      :Optional[Any]         =			time()
        self.dfs(lowercase     ,				lowercase						)
        lowercase_      :str         =			time()
        return end - begin







     def 							lowercase__				(			self		: List[str]     ,				lowercase		: Dict=-2						):





        """simple docstring"""




        lowercase_      :List[str]         =			time()
        self.bfs(lowercase						)
        lowercase_      :str         =			time()
        return end - begin







class 				a_       :





     def __init__(			self		: int						):





        """simple docstring"""




        lowercase_      :Optional[Any]         =			{}





     def 							lowercase__				(			self		: Optional[Any]     ,				lowercase		: Union[str, Any]     ,				lowercase		: Optional[Any]     ,				lowercase		: Union[str, Any]=1						):





        """simple docstring"""




        if self.graph.get(lowercase						):
           # if there already is a edge
           if self.graph[u].count([w, v]						) == 0:
              self.graph[u].append([w, v]						)
        else:
           # if u does not exist
           lowercase_      :Dict         =			[[w, v]]
        # add the other way
        if self.graph.get(lowercase						):
           # if there already is a edge
           if self.graph[v].count([w, u]						) == 0:
              self.graph[v].append([w, u]						)
        else:
           # if u does not exist
           lowercase_      :Tuple         =			[[w, u]]





     def 							lowercase__				(			self		: Optional[int]     ,				lowercase		: Optional[Any]     ,				lowercase		: Union[str, Any]						):





        """simple docstring"""




        if self.graph.get(lowercase						):
           for _ in self.graph[u]:
              if _[1] == v:
                 self.graph[u].remove(lowercase						)
        # the other way round
        if self.graph.get(lowercase						):
           for _ in self.graph[v]:
              if _[1] == u:
                 self.graph[v].remove(lowercase						)





     def 							lowercase__				(			self		: Tuple     ,				lowercase		: Union[str, Any]=-2     ,				lowercase		: List[Any]=-1						):





        """simple docstring"""




        if s == d:
           return []
        lowercase_      :Any         =			[]
        lowercase_      :Union[str, Any]         =			[]
        if s == -2:
           lowercase_      :List[str]         =			list(self.graph						)[0]
        stack.append(lowercase						)
        visited.append(lowercase						)
        lowercase_      :List[Any]         =			s

        while True:
           # check if there is any non isolated nodes
           if len(self.graph[s]						) != 0:
              lowercase_      :List[Any]         =			s
              for node in self.graph[s]:
                 if visited.count(node[1]						) < 1:
                    if node[1] == d:
                       visited.append(lowercase						)
                       return visited
                    else:
                       stack.append(node[1]						)
                       visited.append(node[1]						)
                       lowercase_      :Optional[int]         =			node[1]
                       break

            # check if all the children are visited
           if s == ss:
              stack.pop()
              if len(lowercase						) != 0:
                 lowercase_      :Union[str, Any]         =			stack[len(lowercase						) - 1]
           else:
              lowercase_      :List[str]         =			ss

           # check if se have reached the starting point
           if len(lowercase						) == 0:
              return visited





     def 							lowercase__				(			self		: List[Any]     ,				lowercase		: Union[str, Any]=-1						):





        """simple docstring"""




        if c == -1:
           lowercase_      :int         =			floor(random() * 10_000						) + 10
        for i in range(lowercase						):
           # every vertex has max 100 edges
           for _ in range(floor(random() * 102						) + 1						):
              lowercase_      :Optional[Any]         =			floor(random() * c						) + 1
              if n != i:
                 self.add_pair(lowercase     ,				lowercase     ,				1						)





     def 							lowercase__				(			self		: Optional[int]     ,				lowercase		: int=-2						):





        """simple docstring"""




        lowercase_      :Tuple         =			deque()
        lowercase_      :Tuple         =			[]
        if s == -2:
           lowercase_      :Tuple         =			list(self.graph						)[0]
        d.append(lowercase						)
        visited.append(lowercase						)
        while d:
           lowercase_      :str         =			d.popleft()
           if len(self.graph[s]						) != 0:
              for node in self.graph[s]:
                 if visited.count(node[1]						) < 1:
                    d.append(node[1]						)
                    visited.append(node[1]						)
        return visited





     def 							lowercase__				(			self		: Optional[Any]     ,				lowercase		: Any						):





        """simple docstring"""




        return len(self.graph[u]						)





     def 							lowercase__				(			self		: List[str]						):





        """simple docstring"""




        lowercase_      :Optional[int]         =			[]
        lowercase_      :List[Any]         =			[]
        lowercase_      :int         =			list(self.graph						)[0]
        stack.append(lowercase						)
        visited.append(lowercase						)
        lowercase_      :str         =			-2
        lowercase_      :str         =			[]
        lowercase_      :List[str]         =			s
        lowercase_      :Any         =			False
        lowercase_      :Any         =			set()

        while True:
           # check if there is any non isolated nodes
           if len(self.graph[s]						) != 0:
              lowercase_      :List[str]         =			s
              for node in self.graph[s]:
                 if (
                     visited.count(node[1]						) > 0
                     and node[1] != parent
                     and indirect_parents.count(node[1]						) > 0
                     and not on_the_way_back
                 ):
                    lowercase_      :List[str]         =			len(lowercase						) - 1
                    while len_stack >= 0:
                       if stack[len_stack] == node[1]:
                          anticipating_nodes.add(node[1]						)
                          break
                       else:
                          anticipating_nodes.add(stack[len_stack]						)
                          len_stack -= 1
                 if visited.count(node[1]						) < 1:
                    stack.append(node[1]						)
                    visited.append(node[1]						)
                    lowercase_      :Optional[int]         =			node[1]
                    break

            # check if all the children are visited
           if s == ss:
              stack.pop()
              lowercase_      :Optional[int]         =			True
              if len(lowercase						) != 0:
                 lowercase_      :Dict         =			stack[len(lowercase						) - 1]
           else:
              lowercase_      :List[Any]         =			False
              indirect_parents.append(lowercase						)
              lowercase_      :List[str]         =			s
              lowercase_      :List[str]         =			ss

           # check if se have reached the starting point
           if len(lowercase						) == 0:
              return list(lowercase						)





     def 							lowercase__				(			self		: str						):





        """simple docstring"""




        lowercase_      :Any         =			[]
        lowercase_      :Any         =			[]
        lowercase_      :Optional[Any]         =			list(self.graph						)[0]
        stack.append(lowercase						)
        visited.append(lowercase						)
        lowercase_      :int         =			-2
        lowercase_      :Dict         =			[]
        lowercase_      :Union[str, Any]         =			s
        lowercase_      :str         =			False
        lowercase_      :Union[str, Any]         =			set()

        while True:
           # check if there is any non isolated nodes
           if len(self.graph[s]						) != 0:
              lowercase_      :Union[str, Any]         =			s
              for node in self.graph[s]:
                 if (
                     visited.count(node[1]						) > 0
                     and node[1] != parent
                     and indirect_parents.count(node[1]						) > 0
                     and not on_the_way_back
                 ):
                    lowercase_      :int         =			len(lowercase						) - 1
                    while len_stack_minus_one >= 0:
                       if stack[len_stack_minus_one] == node[1]:
                          anticipating_nodes.add(node[1]						)
                          break
                       else:
                          return True
                 if visited.count(node[1]						) < 1:
                    stack.append(node[1]						)
                    visited.append(node[1]						)
                    lowercase_      :Dict         =			node[1]
                    break

            # check if all the children are visited
           if s == ss:
              stack.pop()
              lowercase_      :List[str]         =			True
              if len(lowercase						) != 0:
                 lowercase_      :Dict         =			stack[len(lowercase						) - 1]
           else:
              lowercase_      :str         =			False
              indirect_parents.append(lowercase						)
              lowercase_      :Optional[int]         =			s
              lowercase_      :List[Any]         =			ss

           # check if se have reached the starting point
           if len(lowercase						) == 0:
              return False





     def 							lowercase__				(			self		: List[str]						):





        """simple docstring"""




        return list(self.graph						)





     def 							lowercase__				(			self		: str     ,				lowercase		: Tuple=-2     ,				lowercase		: Tuple=-1						):





        """simple docstring"""




        lowercase_      :str         =			time()
        self.dfs(lowercase     ,				lowercase						)
        lowercase_      :Union[str, Any]         =			time()
        return end - begin







     def 							lowercase__				(			self		: int     ,				lowercase		: Union[str, Any]=-2						):





        """simple docstring"""




        lowercase_      :Union[str, Any]         =			time()
        self.bfs(lowercase						)
        lowercase_      :Any         =			time()
        return end - begin









'''simple docstring'''


from collections import OrderedDict
from typing import Any, Mapping, Optional

from ... import PreTrainedTokenizer, TensorType, is_torch_available
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfigWithPast
from ...utils import logging


lowerCAmelCase :					Union[str, Any] 							=logging.get_logger(__name__)

lowerCAmelCase :					Optional[Any] 							={
    '''EleutherAI/gpt-neo-1.3B''': '''https://huggingface.co/EleutherAI/gpt-neo-1.3B/resolve/main/config.json''',
    # See all GPTNeo models at https://huggingface.co/models?filter=gpt_neo
}
class 				a_       (    _lowerCAmelCase							):
     __A								=      "gpt_neo"
     __A								=      ["past_key_values"]
     __A								=      {"num_attention_heads": "num_heads", "num_hidden_layers": "num_layers"}





     def __init__(			self		: Union[str, Any]     ,				lowercase		: Tuple=50_257     ,				lowercase		: Optional[Any]=2_048     ,				lowercase		: Union[str, Any]=2_048     ,				lowercase		: int=24     ,				lowercase		: Optional[Any]=[[["global", "local"], 12]]     ,				lowercase		: List[Any]=16     ,				lowercase		: List[str]=None     ,				lowercase		: Union[str, Any]=256     ,				lowercase		: Optional[Any]="gelu_new"     ,				lowercase		: Any=0.0     ,				lowercase		: List[Any]=0.0     ,				lowercase		: Any=0.0     ,				lowercase		: str=0.1     ,				lowercase		: Dict=1e-5     ,				lowercase		: List[str]=0.02     ,				lowercase		: Union[str, Any]=True     ,				lowercase		: int=50_256     ,				lowercase		: Union[str, Any]=50_256     ,				**lowercase		: Dict     ,				):





        """simple docstring"""




        lowercase_      :str         =			vocab_size
        lowercase_      :Tuple         =			max_position_embeddings
        lowercase_      :Tuple         =			hidden_size
        lowercase_      :List[str]         =			num_layers
        lowercase_      :int         =			num_heads
        lowercase_      :Union[str, Any]         =			intermediate_size
        lowercase_      :Tuple         =			window_size
        lowercase_      :Any         =			activation_function
        lowercase_      :Tuple         =			resid_dropout
        lowercase_      :Any         =			embed_dropout
        lowercase_      :str         =			attention_dropout
        lowercase_      :List[str]         =			classifier_dropout
        lowercase_      :List[Any]         =			layer_norm_epsilon
        lowercase_      :List[str]         =			initializer_range
        lowercase_      :int         =			use_cache

        lowercase_      :Tuple         =			bos_token_id
        lowercase_      :Optional[Any]         =			eos_token_id

        lowercase_      :int         =			attention_types
        lowercase_      :Tuple         =			self.expand_attention_types_params(lowercase						)

        if len(self.attention_layers						) != self.num_layers:
           raise ValueError(
               "Configuration for convolutional module is incorrect. "
               "It is required that `len(config.attention_layers)` == `config.num_layers` "
               F'but is `len(config.attention_layers) = {len(self.attention_layers						)}`, '
               F'`config.num_layers = {self.num_layers}`. '
               "`config.attention_layers` is prepared using `config.attention_types`. "
               "Please verify the value of `config.attention_types` argument."						)

        super().__init__(bos_token_id=lowercase     ,				eos_token_id=lowercase     ,				**lowercase						)







     @staticmethod
     def 							lowercase__				(			lowercase		: str						):





        """simple docstring"""




        lowercase_      :Union[str, Any]         =			[]
        for item in attention_types:
           for _ in range(item[1]						):
              attentions.extend(item[0]						)
        return attentions







def 							UpperCAmelCase_  (						__lowerCamelCase : Union[str, Any]     ,__lowerCamelCase : Optional[int]     ,__lowerCamelCase : Optional[Any]     ,__lowerCamelCase : Dict			):
   import torch

   lowercase_      :List[str]         =			input.size()
   lowercase_      :Union[str, Any]         =			len(__lowerCamelCase			)
   lowercase_      :Any         =			shape[dimension]

   lowercase_      :str         =			torch.arange(0     ,__lowerCamelCase     ,__lowerCamelCase			)
   lowercase_      :Union[str, Any]         =			torch.div(sizedim - size     ,__lowerCamelCase     ,rounding_mode="floor"			) + 1
   lowercase_      :int         =			torch.arange(__lowerCamelCase			) + low_indices[:min_length][:, None]

   lowercase_      :List[Any]         =			[slice(__lowerCamelCase			)] * rank
   lowercase_      :int         =			indices
   lowercase_      :Dict         =			input[s]

   lowercase_      :List[str]         =			list(range(0     ,rank + 1			)			)
   perm.append(perm.pop(dimension + 1			)			)

   return sliced.permute(__lowerCamelCase			)
def 							UpperCAmelCase_  (						__lowerCamelCase : List[str]     ,__lowerCamelCase : Any			):
   import torch

   lowercase_      :List[Any]         =			torch.arange(1     ,__lowerCamelCase			)
   lowercase_      :int         =			torch.remainder(__lowerCamelCase     ,__lowerCamelCase			)
   lowercase_      :Optional[int]         =			remainders == 0
   lowercase_      :int         =			candidates[divisor_indices]
   lowercase_      :Tuple         =			torch.max(__lowerCamelCase			)
   return largest_divisor, torch.div(__lowerCamelCase     ,__lowerCamelCase     ,rounding_mode="floor"			)


class 				a_       (    _lowerCAmelCase							):





     @property
     def 							lowercase__				(			self		: str						):





        """simple docstring"""




        lowercase_      :int         =			OrderedDict({"input_ids": {0: "batch", 1: "sequence"}}						)
        if self.use_past:
           self.fill_with_past_key_values_(lowercase     ,				direction="inputs"						)
           lowercase_      :Union[str, Any]         =			{0: "batch", 1: "past_sequence + sequence"}
        else:
           lowercase_      :str         =			{0: "batch", 1: "sequence"}

        return common_inputs





     @property
     def 							lowercase__				(			self		: Tuple						):





        """simple docstring"""




        return self._config.num_heads





     def 							lowercase__				(			self		: List[str]     ,				lowercase		: PreTrainedTokenizer     ,				lowercase		: int = -1     ,				lowercase		: int = -1     ,				lowercase		: bool = False     ,				lowercase		: Optional[TensorType] = None     ,				):





        """simple docstring"""




        lowercase_      :List[str]         =			super(lowercase     ,				self						).generate_dummy_inputs(
            lowercase     ,				batch_size=lowercase     ,				seq_length=lowercase     ,				is_pair=lowercase     ,				framework=lowercase						)

        # We need to order the input in the way they appears in the forward()
        lowercase_      :Tuple         =			OrderedDict({"input_ids": common_inputs["input_ids"]}						)

        # Need to add the past_keys
        if self.use_past:
           if not is_torch_available():
              raise ValueError("Cannot generate dummy past_keys inputs without PyTorch installed."						)
           else:
              import torch

              lowercase_      ,							lowercase_      :Tuple         =			common_inputs["input_ids"].shape
              # Not using the same length for past_key_values
              lowercase_      :Any         =			seqlen + 2
              lowercase_      :List[Any]         =			(
                  batch,
                  self.num_attention_heads,
                  past_key_values_length,
                  self._config.hidden_size // self.num_attention_heads,
              )
              lowercase_      :Dict         =			[
                  (torch.zeros(lowercase						), torch.zeros(lowercase						)) for _ in range(self.num_layers						)
              ]

        lowercase_      :Tuple         =			common_inputs["attention_mask"]
        if self.use_past:
           lowercase_      :Optional[int]         =			ordered_inputs["attention_mask"].dtype
           lowercase_      :List[Any]         =			torch.cat(
               [ordered_inputs["attention_mask"], torch.ones(lowercase     ,				lowercase     ,				dtype=lowercase						)]     ,				dim=1						)

        return ordered_inputs







     @property
     def 							lowercase__				(			self		: int						):





        """simple docstring"""




        return 13


