


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

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


_UpperCAmelCase			:  Any     =logging.getLogger(__name__)







class 				snake_case__(							UpperCAmelCase__							):







						'''simple docstring'''




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




						def 						lowercase_ (				self   ,						__lowercase   ,						__lowercase							)					->    List[InputExample]:
										if isinstance(__lowercase   ,						__lowercase							):
														lowerCAmelCase_ :      Optional[int]    				=				mode.value
										lowerCAmelCase_ :      Optional[int]    				=				os.path.join(__lowercase   ,						f"""{mode}.txt"""							)
										lowerCAmelCase_ :      Optional[int]    				=				1
										lowerCAmelCase_ :      Union[str, Any]    				=				[]
										with open(__lowercase   ,						encoding='''utf-8'''							) as f:
														lowerCAmelCase_ :      int    				=				[]
														lowerCAmelCase_ :      Optional[Any]    				=				[]
														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
																										lowerCAmelCase_ :      Optional[Any]    				=				[]
																										lowerCAmelCase_ :      Optional[Any]    				=				[]
																		else:
																						lowerCAmelCase_ :      int    				=				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 						lowercase_ (				self   ,						__lowercase   ,						__lowercase   ,						__lowercase							)					->    List[str]:
										lowerCAmelCase_ :      Optional[Any]    				=				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]:
																		lowerCAmelCase_ :      Optional[Any]    				=				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 						lowercase_ (				self   ,						__lowercase							)					->    List[str]:
										if path:
														with open(__lowercase   ,						'''r'''							) as f:
																		lowerCAmelCase_ :      Dict    				=				f.read().splitlines()
														if "O" not in labels:
																		lowerCAmelCase_ :      List[str]    				=				['''O'''] + labels
														return labels
										else:
														return ["O", "B-MISC", "I-MISC", "B-PER", "I-PER", "B-ORG", "I-ORG", "B-LOC", "I-LOC"]







class 				snake_case__(							UpperCAmelCase__							):







						'''simple docstring'''




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




						def 						lowercase_ (				self   ,						__lowercase							)					->    List[str]:
										if path:
														with open(__lowercase   ,						'''r'''							) as f:
																		lowerCAmelCase_ :      Dict    				=				f.read().splitlines()
														if "O" not in labels:
																		lowerCAmelCase_ :      Optional[int]    				=				['''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 				snake_case__(							UpperCAmelCase__							):







						'''simple docstring'''




						def 						lowercase_ (				self   ,						__lowercase   ,						__lowercase							)					->    List[InputExample]:
										if isinstance(__lowercase   ,						__lowercase							):
														lowerCAmelCase_ :      Dict    				=				mode.value
										lowerCAmelCase_ :      str    				=				os.path.join(__lowercase   ,						f"""{mode}.txt"""							)
										lowerCAmelCase_ :      List[str]    				=				1
										lowerCAmelCase_ :      List[str]    				=				[]

										with open(__lowercase   ,						encoding='''utf-8'''							) as f:
														for sentence in parse_incr(__lowercase							):
																		lowerCAmelCase_ :      List[Any]    				=				[]
																		lowerCAmelCase_ :      Dict    				=				[]
																		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 						lowercase_ (				self   ,						__lowercase   ,						__lowercase   ,						__lowercase							)					->    Optional[Any]:
										lowerCAmelCase_ :      Dict    				=				0
										for sentence in parse_incr(__lowercase							):
														lowerCAmelCase_ :      Union[str, Any]    				=				preds_list[example_id]
														lowerCAmelCase_ :      Optional[Any]    				=				''''''
														for token in sentence:
																		out += f"""{token["form"]} ({token["upos"]}|{s_p.pop(0							)}) """
														out += "\n"
														writer.write(__lowercase							)
														example_id += 1




						def 						lowercase_ (				self   ,						__lowercase							)					->    List[str]:
										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",
														]



import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
						from .tokenization_xlnet import XLNetTokenizer
else:
						_UpperCAmelCase			:  Dict     =None


_UpperCAmelCase			:  Tuple     =logging.get_logger(__name__)

_UpperCAmelCase			:  Any     ={"""vocab_file""": """spiece.model""", """tokenizer_file""": """tokenizer.json"""}

_UpperCAmelCase			:  Any     ={
    """vocab_file""": {
        """xlnet-base-cased""": """https://huggingface.co/xlnet-base-cased/resolve/main/spiece.model""",
        """xlnet-large-cased""": """https://huggingface.co/xlnet-large-cased/resolve/main/spiece.model""",
    },
    """tokenizer_file""": {
        """xlnet-base-cased""": """https://huggingface.co/xlnet-base-cased/resolve/main/tokenizer.json""",
        """xlnet-large-cased""": """https://huggingface.co/xlnet-large-cased/resolve/main/tokenizer.json""",
    },
}

_UpperCAmelCase			:  Dict     ={
    """xlnet-base-cased""": None,
    """xlnet-large-cased""": None,
}

_UpperCAmelCase			:  Tuple     ="""▁"""

# Segments (not really needed)
_UpperCAmelCase			:  str     =0
_UpperCAmelCase			:  List[str]     =1
_UpperCAmelCase			:  int     =2
_UpperCAmelCase			:  Any     =3
_UpperCAmelCase			:  List[Any]     =4







class 				snake_case__(							UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__      :  int					=							VOCAB_FILES_NAMES
						SCREAMING_SNAKE_CASE__      :  Dict					=							PRETRAINED_VOCAB_FILES_MAP
						SCREAMING_SNAKE_CASE__      :  Optional[Any]					=							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						SCREAMING_SNAKE_CASE__      :  Any					=							"""left"""
						SCREAMING_SNAKE_CASE__      :  List[Any]					=							XLNetTokenizer




						def __init__(				self   ,						__lowercase=None   ,						__lowercase=None   ,						__lowercase=False   ,						__lowercase=True   ,						__lowercase=False   ,						__lowercase="<s>"   ,						__lowercase="</s>"   ,						__lowercase="<unk>"   ,						__lowercase="<sep>"   ,						__lowercase="<pad>"   ,						__lowercase="<cls>"   ,						__lowercase="<mask>"   ,						__lowercase=["<eop>", "<eod>"]   ,						**__lowercase   ,						)					->    List[Any]:
										# Mask token behave like a normal word, i.e. include the space before it
										lowerCAmelCase_ :      Any    				=				AddedToken(__lowercase   ,						lstrip=__lowercase   ,						rstrip=__lowercase							) if isinstance(__lowercase   ,						__lowercase							) else mask_token

										super().__init__(
										    vocab_file=__lowercase   ,						tokenizer_file=__lowercase   ,						do_lower_case=__lowercase   ,						remove_space=__lowercase   ,						keep_accents=__lowercase   ,						bos_token=__lowercase   ,						eos_token=__lowercase   ,						unk_token=__lowercase   ,						sep_token=__lowercase   ,						pad_token=__lowercase   ,						cls_token=__lowercase   ,						mask_token=__lowercase   ,						additional_special_tokens=__lowercase   ,						**__lowercase   ,						)

										lowerCAmelCase_ :      List[Any]    				=				3
										lowerCAmelCase_ :      Dict    				=				do_lower_case
										lowerCAmelCase_ :      Dict    				=				remove_space
										lowerCAmelCase_ :      List[str]    				=				keep_accents
										lowerCAmelCase_ :      List[str]    				=				vocab_file
										lowerCAmelCase_ :      str    				=				False if not self.vocab_file else True




						def 						lowercase_ (				self   ,						__lowercase   ,						__lowercase = None							)					->    List[int]:
										lowerCAmelCase_ :      Tuple    				=				[self.sep_token_id]
										lowerCAmelCase_ :      Any    				=				[self.cls_token_id]
										if token_ids_a is None:
														return token_ids_a + sep + cls
										return token_ids_a + sep + token_ids_a + sep + cls




						def 						lowercase_ (				self   ,						__lowercase   ,						__lowercase = None							)					->    List[int]:
										lowerCAmelCase_ :      Optional[Any]    				=				[self.sep_token_id]
										lowerCAmelCase_ :      List[Any]    				=				[2]

										if token_ids_a is None:
														return len(token_ids_a + sep							) * [0] + cls_segment_id
										return len(token_ids_a + sep							) * [0] + len(token_ids_a + sep							) * [1] + cls_segment_id




						def 						lowercase_ (				self   ,						__lowercase   ,						__lowercase = None							)					->    Tuple[str]:
										if not self.can_save_slow_tokenizer:
														raise ValueError(
														    '''Your fast tokenizer does not have the necessary information to save the vocabulary for a slow '''
														    '''tokenizer.'''							)

										if not os.path.isdir(__lowercase							):
														logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""							)
														return
										lowerCAmelCase_ :      str    				=				os.path.join(
										    __lowercase   ,						(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']							)

										if os.path.abspath(self.vocab_file							) != os.path.abspath(__lowercase							):
														copyfile(self.vocab_file   ,						__lowercase							)

										return (out_vocab_file,)