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

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


_SCREAMING_SNAKE_CASE										=						logging.getLogger(__name__)



class 				a							(			__lowerCAmelCase       ):







 """simple docstring"""






 def __init__(					self		,				lowerCAmelCase_=-1							)  ->					int:
        # in NER datasets, the last column is usually reserved for NER label
        _A        =  label_idx



 def      UpperCAmelCase							(					self		,				lowerCAmelCase_		,				lowerCAmelCase_							)  ->					List[InputExample]:
        if isinstance(lowerCAmelCase_		,				lowerCAmelCase_							):
               _A        =  mode.value
        _A        =  os.path.join(lowerCAmelCase_		,				F'''{mode}.txt'''							)
        _A        =  1
        _A        =  []
        with open(lowerCAmelCase_		,				encoding="""utf-8"""							) as f:
               _A        =  []
               _A        =  []
               for line in f:
                      if line.startswith("""-DOCSTART-"""							) or line == "" or line == "\n":
                             if words:
                                    examples.append(InputExample(guid=F'''{mode}-{guid_index}'''		,				words=lowerCAmelCase_		,				labels=lowerCAmelCase_							)							)
                                    guid_index += 1
                                    _A        =  []
                                    _A        =  []
                      else:
                             _A        =  line.split(""" """							)
                             words.append(splits[0]							)
                             if len(lowerCAmelCase_							) > 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=lowerCAmelCase_		,				labels=lowerCAmelCase_							)							)
        return examples



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



 def      UpperCAmelCase							(					self		,				lowerCAmelCase_							)  ->					List[str]:
        if path:
               with open(lowerCAmelCase_		,				"""r"""							) as f:
                      _A        =  f.read().splitlines()
               if "O" not in labels:
                      _A        =  ["""O"""] + labels
               return labels
        else:
               return ["O", "B-MISC", "I-MISC", "B-PER", "I-PER", "B-ORG", "I-ORG", "B-LOC", "I-LOC"]



class 				a							(			__lowerCAmelCase       ):







 """simple docstring"""






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



 def      UpperCAmelCase							(					self		,				lowerCAmelCase_							)  ->					List[str]:
        if path:
               with open(lowerCAmelCase_		,				"""r"""							) as f:
                      _A        =  f.read().splitlines()
               if "O" not in labels:
                      _A        =  ["""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 				a							(			__lowerCAmelCase       ):







 """simple docstring"""






 def      UpperCAmelCase							(					self		,				lowerCAmelCase_		,				lowerCAmelCase_							)  ->					List[InputExample]:
        if isinstance(lowerCAmelCase_		,				lowerCAmelCase_							):
               _A        =  mode.value
        _A        =  os.path.join(lowerCAmelCase_		,				F'''{mode}.txt'''							)
        _A        =  1
        _A        =  []

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



 def      UpperCAmelCase							(					self		,				lowerCAmelCase_		,				lowerCAmelCase_		,				lowerCAmelCase_							)  ->					Tuple:
        _A        =  0
        for sentence in parse_incr(lowerCAmelCase_							):
               _A        =  preds_list[example_id]
               _A        =  """"""
               for token in sentence:
                      out += F'''{token['form']} ({token['upos']}|{s_p.pop(0							)}) '''
               out += "\n"
               writer.write(lowerCAmelCase_							)
               example_id += 1



 def      UpperCAmelCase							(					self		,				lowerCAmelCase_							)  ->					List[str]:
        if path:
               with open(lowerCAmelCase_		,				"""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",
               ]





import random
from typing import Any






def  snake_case  (       snake_case__			:list)						->   list[Any]:
       for _ in range(len(snake_case__)):
              _A        =  random.randint(0   ,	len(snake_case__) - 1)
              _A        =  random.randint(0   ,	len(snake_case__) - 1)
              _A   ,  _A        =  data[b], data[a]
       return data


if __name__ == "__main__":
    _SCREAMING_SNAKE_CASE										=						[0, 1, 2, 3, 4, 5, 6, 7]
    _SCREAMING_SNAKE_CASE										=						['python', 'says', 'hello', '!']
    print('Fisher-Yates Shuffle:')
    print('List', integers, strings)
    print('FY Shuffle', fisher_yates_shuffle(integers), fisher_yates_shuffle(strings))




