

"""simple docstring"""






import logging
import os
from typing import List, TextIO, Union

from conllu import parse_incr
from utils_ner import InputExample, Split, TokenClassificationTask


__lowerCamelCase										=		logging.getLogger(__name__)
class        _lowercase					(     _lowerCamelCase     ):







     def __init__(      self ,						UpperCamelCase_=-1       ):
      # in NER datasets, the last column is usually reserved for NER label
      __magic_name__     =      label_idx







     def 	lowerCAmelCase__    (      self ,						UpperCamelCase_ ,						UpperCamelCase_       ):
      if isinstance(A__ ,						A__       ):
       __magic_name__     =      mode.value
      __magic_name__     =      os.path.join(A__ ,						f'''{mode}.txt'''       )
      __magic_name__     =      1
      __magic_name__     =      []
      with open(A__ ,						encoding='''utf-8'''       ) as f:
       __magic_name__     =      []
       __magic_name__     =      []
       for line in f:
        if line.startswith('''-DOCSTART-'''       ) or line == "" or line == "\n":
         if words:
          examples.append(InputExample(guid=f'''{mode}-{guid_index}''' ,						words=A__ ,						labels=A__       )       )
          guid_index += 1
          __magic_name__     =      []
          __magic_name__     =      []
        else:
         __magic_name__     =      line.split(''' '''       )
         words.append(splits[0]       )
         if len(A__       ) > 1:
          labels.append(splits[self.label_idx].replace('''\n''' ,						''''''       )       )
         else:
          # Examples could have no label for mode = "test"
          labels.append('''O'''       )
       if words:
        examples.append(InputExample(guid=f'''{mode}-{guid_index}''' ,						words=A__ ,						labels=A__       )       )
      return examples







     def 	lowerCAmelCase__    (      self ,						UpperCamelCase_ ,						UpperCamelCase_ ,						UpperCamelCase_       ):
      __magic_name__     =      0
      for line in test_input_reader:
       if line.startswith('''-DOCSTART-'''       ) or line == "" or line == "\n":
        writer.write(A__       )
        if not preds_list[example_id]:
         example_id += 1
       elif preds_list[example_id]:
        __magic_name__     =      line.split()[0] + ''' ''' + preds_list[example_id].pop(0       ) + '''\n'''
        writer.write(A__       )
       else:
        logger.warning('''Maximum sequence length exceeded: No prediction for \'%s\'.''' ,						line.split()[0]       )







     def 	lowerCAmelCase__    (      self ,						UpperCamelCase_       ):
      if path:
       with open(A__ ,						'''r'''       ) as f:
        __magic_name__     =      f.read().splitlines()
       if "O" not in labels:
        __magic_name__     =      ['''O'''] + labels
       return labels
      else:
       return ["O", "B-MISC", "I-MISC", "B-PER", "I-PER", "B-ORG", "I-ORG", "B-LOC", "I-LOC"]


class        _lowercase					(     _lowerCamelCase     ):







     def __init__(      self       ):
      # in CONLL2003 dataset chunk column is second-to-last
      super().__init__(label_idx=-2       )







     def 	lowerCAmelCase__    (      self ,						UpperCamelCase_       ):
      if path:
       with open(A__ ,						'''r'''       ) as f:
        __magic_name__     =      f.read().splitlines()
       if "O" not in labels:
        __magic_name__     =      ['''O'''] + labels
       return labels
      else:
       return [
           "O",
           "B-ADVP",
           "B-INTJ",
           "B-LST",
           "B-PRT",
           "B-NP",
           "B-SBAR",
           "B-VP",
           "B-ADJP",
           "B-CONJP",
           "B-PP",
           "I-ADVP",
           "I-INTJ",
           "I-LST",
           "I-PRT",
           "I-NP",
           "I-SBAR",
           "I-VP",
           "I-ADJP",
           "I-CONJP",
           "I-PP",
       ]


class        _lowercase					(     _lowerCamelCase     ):







     def 	lowerCAmelCase__    (      self ,						UpperCamelCase_ ,						UpperCamelCase_       ):
      if isinstance(A__ ,						A__       ):
       __magic_name__     =      mode.value
      __magic_name__     =      os.path.join(A__ ,						f'''{mode}.txt'''       )
      __magic_name__     =      1
      __magic_name__     =      []

      with open(A__ ,						encoding='''utf-8'''       ) as f:
       for sentence in parse_incr(A__       ):
        __magic_name__     =      []
        __magic_name__     =      []
        for token in sentence:
         words.append(token['''form''']       )
         labels.append(token['''upos''']       )
        assert len(A__       ) == len(A__       )
        if words:
         examples.append(InputExample(guid=f'''{mode}-{guid_index}''' ,						words=A__ ,						labels=A__       )       )
         guid_index += 1
      return examples







     def 	lowerCAmelCase__    (      self ,						UpperCamelCase_ ,						UpperCamelCase_ ,						UpperCamelCase_       ):
      __magic_name__     =      0
      for sentence in parse_incr(A__       ):
       __magic_name__     =      preds_list[example_id]
       __magic_name__     =      ''''''
       for token in sentence:
        out += f'''{token["form"]} ({token["upos"]}|{s_p.pop(0       )}) '''
       out += "\n"
       writer.write(A__       )
       example_id += 1







     def 	lowerCAmelCase__    (      self ,						UpperCamelCase_       ):
      if path:
       with open(A__ ,						'''r'''       ) as f:
        return f.read().splitlines()
      else:
       return [
           "ADJ",
           "ADP",
           "ADV",
           "AUX",
           "CCONJ",
           "DET",
           "INTJ",
           "NOUN",
           "NUM",
           "PART",
           "PRON",
           "PROPN",
           "PUNCT",
           "SCONJ",
           "SYM",
           "VERB",
           "X",
       ]




"""simple docstring"""






from __future__ import annotations

from sys import maxsize
from typing import Generic, TypeVar

__lowerCamelCase										=		TypeVar("T")





def 	lowercase      (   __UpperCamelCase						) ->      int:
 return (position - 1) // 2





def 	lowercase      (   __UpperCamelCase						) ->      int:
 return (2 * position) + 1





def 	lowercase      (   __UpperCamelCase						) ->      int:
 return (2 * position) + 2
class        _lowercase					(     Generic[T]     ):







     def __init__(      self       ):
      __magic_name__     =      []
      __magic_name__     =      {}
      __magic_name__     =      0







     def __len__(      self       ):
      return self.elements







     def __repr__(      self       ):
      return str(self.heap       )







     def 	lowerCAmelCase__    (      self       ):
      # Check if the priority queue is empty
      return self.elements == 0







     def 	lowerCAmelCase__    (      self ,						UpperCamelCase_ ,						UpperCamelCase_       ):
      # Add an element with given priority to the queue
      self.heap.append((elem, weight)       )
      __magic_name__     =      self.elements
      self.elements += 1
      self._bubble_up(UpperCamelCase_       )







     def 	lowerCAmelCase__    (      self       ):
      # Remove and return the element with lowest weight (highest priority)
      if self.elements > 1:
       self._swap_nodes(0 ,						self.elements - 1       )
      __magic_name__   ,						__magic_name__     =      self.heap.pop()
      del self.position_map[elem]
      self.elements -= 1
      if self.elements > 0:
       __magic_name__   ,						__magic_name__     =      self.heap[0]
       self._bubble_down(UpperCamelCase_       )
      return elem







     def 	lowerCAmelCase__    (      self ,						UpperCamelCase_ ,						UpperCamelCase_       ):
      # Update the weight of the given key
      __magic_name__     =      self.position_map[elem]
      __magic_name__     =      (elem, weight)
      if position > 0:
       __magic_name__     =      get_parent_position(UpperCamelCase_       )
       __magic_name__   ,						__magic_name__     =      self.heap[parent_position]
       if parent_weight > weight:
        self._bubble_up(UpperCamelCase_       )
       else:
        self._bubble_down(UpperCamelCase_       )
      else:
       self._bubble_down(UpperCamelCase_       )







     def 	lowerCAmelCase__    (      self ,						UpperCamelCase_       ):
      # Place a node at the proper position (upward movement) [to be used internally
      # only]
      __magic_name__     =      self.position_map[elem]
      if curr_pos == 0:
       return None
      __magic_name__     =      get_parent_position(UpperCamelCase_       )
      __magic_name__   ,						__magic_name__     =      self.heap[curr_pos]
      __magic_name__   ,						__magic_name__     =      self.heap[parent_position]
      if parent_weight > weight:
       self._swap_nodes(UpperCamelCase_ ,						UpperCamelCase_       )
       return self._bubble_up(UpperCamelCase_       )
      return None







     def 	lowerCAmelCase__    (      self ,						UpperCamelCase_       ):
      # Place a node at the proper position (downward movement) [to be used
      # internally only]
      __magic_name__     =      self.position_map[elem]
      __magic_name__   ,						__magic_name__     =      self.heap[curr_pos]
      __magic_name__     =      get_child_left_position(UpperCamelCase_       )
      __magic_name__     =      get_child_right_position(UpperCamelCase_       )
      if child_left_position < self.elements and child_right_position < self.elements:
       __magic_name__   ,						__magic_name__     =      self.heap[child_left_position]
       __magic_name__   ,						__magic_name__     =      self.heap[child_right_position]
       if child_right_weight < child_left_weight and child_right_weight < weight:
        self._swap_nodes(UpperCamelCase_ ,						UpperCamelCase_       )
        return self._bubble_down(UpperCamelCase_       )
      if child_left_position < self.elements:
       __magic_name__   ,						__magic_name__     =      self.heap[child_left_position]
       if child_left_weight < weight:
        self._swap_nodes(UpperCamelCase_ ,						UpperCamelCase_       )
        return self._bubble_down(UpperCamelCase_       )
      else:
       return None
      if child_right_position < self.elements:
       __magic_name__   ,						__magic_name__     =      self.heap[child_right_position]
       if child_right_weight < weight:
        self._swap_nodes(UpperCamelCase_ ,						UpperCamelCase_       )
        return self._bubble_down(UpperCamelCase_       )
      return None







     def 	lowerCAmelCase__    (      self ,						UpperCamelCase_ ,						UpperCamelCase_       ):
      # Swap the nodes at the given positions
      __magic_name__     =      self.heap[nodea_pos][0]
      __magic_name__     =      self.heap[nodea_pos][0]
      __magic_name__   ,						__magic_name__     =      (
          self.heap[nodea_pos],
          self.heap[nodea_pos],
      )
      __magic_name__     =      nodea_pos
      __magic_name__     =      nodea_pos


class        _lowercase					(     Generic[T]     ):







     def __init__(      self       ):
      __magic_name__     =      {}
      __magic_name__     =      0







     def __repr__(      self       ):
      return str(self.connections       )







     def __len__(      self       ):
      return self.nodes







     def 	lowerCAmelCase__    (      self ,						UpperCamelCase_       ):
      # Add a node in the graph if it is not in the graph
      if node not in self.connections:
       __magic_name__     =      {}
       self.nodes += 1







     def 	lowerCAmelCase__    (      self ,						UpperCamelCase_ ,						UpperCamelCase_ ,						UpperCamelCase_       ):
      # Add an edge between 2 nodes in the graph
      self.add_node(UpperCamelCase_       )
      self.add_node(UpperCamelCase_       )
      __magic_name__     =      weight
      __magic_name__     =      weight





def 	lowercase      (   __UpperCamelCase      ,   ) ->      tuple[dict[T, int], dict[T, T | None]]:
 __magic_name__     =      {node: maxsize for node in graph.connections}
 __magic_name__     =      {node: None for node in graph.connections}

 __magic_name__     =      MinPriorityQueue()
 for node, weight in dist.items():
  priority_queue.push(__UpperCamelCase      ,   __UpperCamelCase						)

 if priority_queue.is_empty():
  return dist, parent

 # initialization
 __magic_name__     =      priority_queue.extract_min()
 __magic_name__     =      0
 for neighbour in graph.connections[node]:
  if dist[neighbour] > dist[node] + graph.connections[node][neighbour]:
   __magic_name__     =      dist[node] + graph.connections[node][neighbour]
   priority_queue.update_key(__UpperCamelCase      ,   dist[neighbour]						)
   __magic_name__     =      node

    # running prim's algorithm
 while not priority_queue.is_empty():
  __magic_name__     =      priority_queue.extract_min()
  for neighbour in graph.connections[node]:
   if dist[neighbour] > dist[node] + graph.connections[node][neighbour]:
    __magic_name__     =      dist[node] + graph.connections[node][neighbour]
    priority_queue.update_key(__UpperCamelCase      ,   dist[neighbour]						)
    __magic_name__     =      node
 return dist, parent

