





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 		UpperCamelCase__ (      lowerCAmelCase_   ):



     '''simple docstring'''

     def __init__(							self						:    str						,lowerCamelCase__						:    Union[str, Any]=-1       )     ->		str:




           '''simple docstring'''


           SCREAMING_SNAKE_CASE		=						label_idx






     def 				SCREAMING_SNAKE_CASE__  (							self						:    Optional[Any]						,lowerCamelCase__						:    Optional[Any]						,lowerCamelCase__						:    Dict       )     ->		Tuple:




           '''simple docstring'''


           if isinstance(A__						,A__       ):
                 SCREAMING_SNAKE_CASE		=						mode.value
           SCREAMING_SNAKE_CASE		=						os.path.join(A__						,F"""{mode}.txt"""       )
           SCREAMING_SNAKE_CASE		=						1
           SCREAMING_SNAKE_CASE		=						[]
           with open(A__						,encoding="""utf-8"""       ) as f:
                 SCREAMING_SNAKE_CASE		=						[]
                 SCREAMING_SNAKE_CASE		=						[]
                 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
                                   SCREAMING_SNAKE_CASE		=						[]
                                   SCREAMING_SNAKE_CASE		=						[]
                       else:
                             SCREAMING_SNAKE_CASE		=						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 				SCREAMING_SNAKE_CASE__  (							self						:    List[str]						,lowerCamelCase__						:    List[str]						,lowerCamelCase__						:    str						,lowerCamelCase__						:    Any       )     ->		Dict:




           '''simple docstring'''


           SCREAMING_SNAKE_CASE		=						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]:
                       SCREAMING_SNAKE_CASE		=						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 				SCREAMING_SNAKE_CASE__  (							self						:    int						,lowerCamelCase__						:    Union[str, Any]       )     ->		str:




           '''simple docstring'''


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

class 		UpperCamelCase__ (      lowerCAmelCase_   ):



     '''simple docstring'''

     def __init__(							self						:    Any       )     ->		Tuple:




           '''simple docstring'''


           super().__init__(label_idx=-2       )






     def 				SCREAMING_SNAKE_CASE__  (							self						:    Tuple						,lowerCamelCase__						:    Optional[Any]       )     ->		List[str]:




           '''simple docstring'''


           if path:
                 with open(A__						,"""r"""       ) as f:
                       SCREAMING_SNAKE_CASE		=						f.read().splitlines()
                 if "O" not in labels:
                       SCREAMING_SNAKE_CASE		=						["""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 		UpperCamelCase__ (      lowerCAmelCase_   ):



     '''simple docstring'''

     def 				SCREAMING_SNAKE_CASE__  (							self						:    Tuple						,lowerCamelCase__						:    Optional[Any]						,lowerCamelCase__						:    Union[str, Any]       )     ->		Tuple:




           '''simple docstring'''


           if isinstance(A__						,A__       ):
                 SCREAMING_SNAKE_CASE		=						mode.value
           SCREAMING_SNAKE_CASE		=						os.path.join(A__						,F"""{mode}.txt"""       )
           SCREAMING_SNAKE_CASE		=						1
           SCREAMING_SNAKE_CASE		=						[]

           with open(A__						,encoding="""utf-8"""       ) as f:
                 for sentence in parse_incr(A__       ):
                       SCREAMING_SNAKE_CASE		=						[]
                       SCREAMING_SNAKE_CASE		=						[]
                       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 				SCREAMING_SNAKE_CASE__  (							self						:    List[str]						,lowerCamelCase__						:    List[str]						,lowerCamelCase__						:    List[Any]						,lowerCamelCase__						:    Optional[int]       )     ->		List[Any]:




           '''simple docstring'''


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






     def 				SCREAMING_SNAKE_CASE__  (							self						:    Optional[int]						,lowerCamelCase__						:    Any       )     ->		Any:




           '''simple docstring'''


           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",
                 ]





import warnings

from ...utils import logging
from .image_processing_donut import DonutImageProcessor


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



class     _a						(__magic_name__				):


					'''simple docstring'''






					def __init__( self    ,       *A__    ,       **A__			):
						warnings.warn(
						    """The class DonutFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"""
						    """ use DonutImageProcessor instead."""    ,       A__    ,       )
						super().__init__(*A__    ,       **A__			)



