

import os

import pytest

from datasets import (
    get_dataset_config_info,
    get_dataset_config_names,
    get_dataset_infos,
    get_dataset_split_names,
    inspect_dataset,
    inspect_metric,
)


_lowerCamelCase      :					Optional[int]					    =      pytest.mark.integration





@pytest.mark.parametrize('''path'''     ,				['''paws''', '''csv''']			)
def      A__					(			__A  :						Any     ,				__A  :						Optional[Any]			)					->Dict:
      inspect_dataset(__A     ,				__A			)
      __A    =path + '''.py'''
      assert script_name in os.listdir(__A			)
      assert "__pycache__" not in os.listdir(__A			)





@pytest.mark.filterwarnings('''ignore:inspect_metric is deprecated:FutureWarning'''			)
@pytest.mark.filterwarnings('''ignore:metric_module_factory is deprecated:FutureWarning'''			)
@pytest.mark.parametrize('''path'''     ,				['''accuracy''']			)
def      A__					(			__A  :						List[Any]     ,				__A  :						Optional[Any]			)					->Optional[Any]:
      inspect_metric(__A     ,				__A			)
      __A    =path + '''.py'''
      assert script_name in os.listdir(__A			)
      assert "__pycache__" not in os.listdir(__A			)





@pytest.mark.parametrize(
    '''path, config_name, expected_splits'''     ,				[
        ('''squad''', '''plain_text''', ['''train''', '''validation''']),
        ('''dalle-mini/wit''', '''dalle-mini--wit''', ['''train''']),
        ('''paws''', '''labeled_final''', ['''train''', '''test''', '''validation''']),
    ]     ,				)
def      A__					(			__A  :						Any     ,				__A  :						Union[str, Any]     ,				__A  :						Union[str, Any]			)					->Union[str, Any]:
      __A    =get_dataset_config_info(__A     ,				config_name=__A			)
      assert info.config_name == config_name
      assert list(info.splits.keys()			) == expected_splits





@pytest.mark.parametrize(
    '''path, config_name, expected_exception'''     ,				[
        ('''paws''', None, ValueError),
    ]     ,				)
def      A__					(			__A  :						Any     ,				__A  :						Tuple     ,				__A  :						Dict			)					->Tuple:
      with pytest.raises(__A			):
            get_dataset_config_info(__A     ,				config_name=__A			)





@pytest.mark.parametrize(
    '''path, expected'''     ,				[
        ('''squad''', '''plain_text'''),
        ('''acronym_identification''', '''default'''),
        ('''lhoestq/squad''', '''plain_text'''),
        ('''lhoestq/test''', '''default'''),
        ('''lhoestq/demo1''', '''lhoestq--demo1'''),
        ('''dalle-mini/wit''', '''dalle-mini--wit'''),
    ]     ,				)
def      A__					(			__A  :						List[str]     ,				__A  :						Any			)					->Any:
      __A    =get_dataset_config_names(__A			)
      assert expected in config_names





@pytest.mark.parametrize(
    '''path, expected_configs, expected_splits_in_first_config'''     ,				[
        ('''squad''', ['''plain_text'''], ['''train''', '''validation''']),
        ('''dalle-mini/wit''', ['''dalle-mini--wit'''], ['''train''']),
        ('''paws''', ['''labeled_final''', '''labeled_swap''', '''unlabeled_final'''], ['''train''', '''test''', '''validation''']),
    ]     ,				)
def      A__					(			__A  :						List[Any]     ,				__A  :						Tuple     ,				__A  :						int			)					->Optional[Any]:
      __A    =get_dataset_infos(__A			)
      assert list(infos.keys()			) == expected_configs
      __A    =expected_configs[0]
      assert expected_config in infos
      __A    =infos[expected_config]
      assert info.config_name == expected_config
      assert list(info.splits.keys()			) == expected_splits_in_first_config





@pytest.mark.parametrize(
    '''path, expected_config, expected_splits'''     ,				[
        ('''squad''', '''plain_text''', ['''train''', '''validation''']),
        ('''dalle-mini/wit''', '''dalle-mini--wit''', ['''train''']),
        ('''paws''', '''labeled_final''', ['''train''', '''test''', '''validation''']),
    ]     ,				)
def      A__					(			__A  :						List[str]     ,				__A  :						Optional[int]     ,				__A  :						Any			)					->Dict:
      __A    =get_dataset_infos(__A			)
      assert expected_config in infos
      __A    =infos[expected_config]
      assert info.config_name == expected_config
      assert list(info.splits.keys()			) == expected_splits





@pytest.mark.parametrize(
    '''path, config_name, expected_exception'''     ,				[
        ('''paws''', None, ValueError),
    ]     ,				)
def      A__					(			__A  :						Any     ,				__A  :						Dict     ,				__A  :						str			)					->List[str]:
      with pytest.raises(__A			):
            get_dataset_split_names(__A     ,				config_name=__A			)





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

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


_lowerCamelCase      :					List[Any]					    =      logging.getLogger(__name__)





class        lowerCAmelCase__  (					__magic_name__			):



       '''simple docstring'''







       def __init__(							self ,   lowercase__=-1     ):







             '''simple docstring'''



             __A    =label_idx

       def     __UpperCamelCase     (							self ,   lowercase__ ,   lowercase__     ):







             '''simple docstring'''



             if isinstance(lowercase__ ,   lowercase__     ):
                   __A    =mode.value
             __A    =os.path.join(lowercase__ ,   f'''{mode}.txt'''     )
             __A    =1
             __A    =[]
             with open(lowercase__ ,   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=lowercase__ ,   labels=lowercase__     )     )
                                     guid_index += 1
                                     __A    =[]
                                     __A    =[]
                         else:
                               __A    =line.split(''' '''     )
                               words.append(splits[0]     )
                               if len(lowercase__     ) > 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=lowercase__ ,   labels=lowercase__     )     )
             return examples

       def     __UpperCamelCase     (							self ,   lowercase__ ,   lowercase__ ,   lowercase__     ):







             '''simple docstring'''



             __A    =0
             for line in test_input_reader:
                   if line.startswith('''-DOCSTART-'''     ) or line == "" or line == "\n":
                         writer.write(lowercase__     )
                         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(lowercase__     )
                   else:
                         logger.warning('''Maximum sequence length exceeded: No prediction for \'%s\'.''' ,   line.split()[0]     )


       def     __UpperCamelCase     (							self ,   lowercase__     ):







             '''simple docstring'''



             if path:
                   with open(lowercase__ ,   '''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        lowerCAmelCase__  (					__magic_name__			):



       '''simple docstring'''







       def __init__(							self     ):







             '''simple docstring'''



             super().__init__(label_idx=-2     )


       def     __UpperCamelCase     (							self ,   lowercase__     ):







             '''simple docstring'''



             if path:
                   with open(lowercase__ ,   '''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        lowerCAmelCase__  (					__magic_name__			):



       '''simple docstring'''







       def     __UpperCamelCase     (							self ,   lowercase__ ,   lowercase__     ):







             '''simple docstring'''



             if isinstance(lowercase__ ,   lowercase__     ):
                   __A    =mode.value
             __A    =os.path.join(lowercase__ ,   f'''{mode}.txt'''     )
             __A    =1
             __A    =[]

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

       def     __UpperCamelCase     (							self ,   lowercase__ ,   lowercase__ ,   lowercase__     ):







             '''simple docstring'''



             __A    =0
             for sentence in parse_incr(lowercase__     ):
                   __A    =preds_list[example_id]
                   __A    =''''''
                   for token in sentence:
                         out += f'''{token['form']} ({token['upos']}|{s_p.pop(0     )}) '''
                   out += "\n"
                   writer.write(lowercase__     )
                   example_id += 1


       def     __UpperCamelCase     (							self ,   lowercase__     ):







             '''simple docstring'''



             if path:
                   with open(lowercase__ ,   '''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",
                   ]


