






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 		UpperCamelCase__    (_lowerCamelCase			):




		'''simple docstring'''





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






		def 			UpperCamelCase_					(      self   ,_lowerCAmelCase   ,_lowerCAmelCase       ):
								if isinstance(A__   ,A__       ):
														lowerCamelCase__         =  mode.value
								lowerCamelCase__         =  os.path.join(A__   ,F'''{mode}.txt'''       )
								lowerCamelCase__         =  1
								lowerCamelCase__         =  []
								with open(A__   ,encoding="""utf-8"""       ) as f:
														lowerCamelCase__         =  []
														lowerCamelCase__         =  []
														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
																																lowerCamelCase__         =  []
																																lowerCamelCase__         =  []
																				else:
																										lowerCamelCase__         =  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 			UpperCamelCase_					(      self   ,_lowerCAmelCase   ,_lowerCAmelCase   ,_lowerCAmelCase       ):
								lowerCamelCase__         =  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]:
																				lowerCamelCase__         =  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 			UpperCamelCase_					(      self   ,_lowerCAmelCase       ):
								if path:
														with open(A__   ,"""r"""       ) as f:
																				lowerCamelCase__         =  f.read().splitlines()
														if "O" not in labels:
																				lowerCamelCase__         =  ["""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       ):
								# in CONLL2003 dataset chunk column is second-to-last
								super().__init__(label_idx=-2       )






		def 			UpperCamelCase_					(      self   ,_lowerCAmelCase       ):
								if path:
														with open(A__   ,"""r"""       ) as f:
																				lowerCamelCase__         =  f.read().splitlines()
														if "O" not in labels:
																				lowerCamelCase__         =  ["""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 			UpperCamelCase_					(      self   ,_lowerCAmelCase   ,_lowerCAmelCase       ):
								if isinstance(A__   ,A__       ):
														lowerCamelCase__         =  mode.value
								lowerCamelCase__         =  os.path.join(A__   ,F'''{mode}.txt'''       )
								lowerCamelCase__         =  1
								lowerCamelCase__         =  []

								with open(A__   ,encoding="""utf-8"""       ) as f:
														for sentence in parse_incr(A__       ):
																				lowerCamelCase__         =  []
																				lowerCamelCase__         =  []
																				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 			UpperCamelCase_					(      self   ,_lowerCAmelCase   ,_lowerCAmelCase   ,_lowerCAmelCase       ):
								lowerCamelCase__         =  0
								for sentence in parse_incr(A__       ):
														lowerCamelCase__         =  preds_list[example_id]
														lowerCamelCase__         =  """"""
														for token in sentence:
																				out += F'''{token["form"]} ({token["upos"]}|{s_p.pop(0       )}) '''
														out += "\n"
														writer.write(A__       )
														example_id += 1






		def 			UpperCamelCase_					(      self   ,_lowerCAmelCase       ):
								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'''







import json
from typing import Iterator, List, Union

from tokenizers import AddedToken, Regex, Tokenizer, decoders, normalizers, pre_tokenizers, trainers
from tokenizers.implementations.base_tokenizer import BaseTokenizer
from tokenizers.models import Unigram
from tokenizers.processors import TemplateProcessing




class 		UpperCamelCase__    (a			):




		'''simple docstring'''





		def __init__(      self   ,_lowerCAmelCase = "▁"   ,_lowerCAmelCase = True   ,_lowerCAmelCase = "<unk>"   ,_lowerCAmelCase = "</s>"   ,_lowerCAmelCase = "<pad>"   ,):
								lowerCamelCase__         =  {
								    """pad""": {"""id""": 0, """token""": pad_token},
								    """eos""": {"""id""": 1, """token""": eos_token},
								    """unk""": {"""id""": 2, """token""": unk_token},
								}

								lowerCamelCase__         =  [None] * len(self.special_tokens       )
								for token_dict in self.special_tokens.values():
														lowerCamelCase__         =  token_dict["""token"""]

								lowerCamelCase__         =  Tokenizer(Unigram()       )

								lowerCamelCase__         =  normalizers.Sequence(
								    [
								        normalizers.Nmt(),
								        normalizers.NFKC(),
								        normalizers.Replace(Regex(""" {2,}"""       )   ,""" """       ),
								        normalizers.Lowercase(),
								    ]       )
								lowerCamelCase__         =  pre_tokenizers.Sequence(
								    [
								        pre_tokenizers.Metaspace(replacement=_lowerCAmelCase   ,add_prefix_space=_lowerCAmelCase       ),
								        pre_tokenizers.Digits(individual_digits=_lowerCAmelCase       ),
								        pre_tokenizers.Punctuation(),
								    ]       )
								lowerCamelCase__         =  decoders.Metaspace(replacement=_lowerCAmelCase   ,add_prefix_space=_lowerCAmelCase       )

								lowerCamelCase__         =  TemplateProcessing(
								    single=F'''$A {self.special_tokens["eos"]["token"]}'''   ,special_tokens=[(self.special_tokens["""eos"""]["""token"""], self.special_tokens["""eos"""]["""id"""])]   ,)

								lowerCamelCase__         =  {
								    """model""": """SentencePieceUnigram""",
								    """replacement""": replacement,
								    """add_prefix_space""": add_prefix_space,
								}

								super().__init__(_lowerCAmelCase   ,_lowerCAmelCase       )






		def 			UpperCamelCase_					(      self   ,_lowerCAmelCase   ,_lowerCAmelCase = 80_00   ,_lowerCAmelCase = True   ,):
								lowerCamelCase__         =  trainers.UnigramTrainer(
								    vocab_size=_lowerCAmelCase   ,special_tokens=self.special_tokens_list   ,show_progress=_lowerCAmelCase   ,)

								if isinstance(_lowerCAmelCase   ,_lowerCAmelCase       ):
														lowerCamelCase__         =  [files]
								self._tokenizer.train(_lowerCAmelCase   ,trainer=_lowerCAmelCase       )

								self.add_unk_id()






		def 			UpperCamelCase_					(      self   ,_lowerCAmelCase   ,_lowerCAmelCase = 80_00   ,_lowerCAmelCase = True   ,):
								lowerCamelCase__         =  trainers.UnigramTrainer(
								    vocab_size=_lowerCAmelCase   ,special_tokens=self.special_tokens_list   ,show_progress=_lowerCAmelCase   ,)

								self._tokenizer.train_from_iterator(_lowerCAmelCase   ,trainer=_lowerCAmelCase       )

								self.add_unk_id()






		def 			UpperCamelCase_					(      self       ):
								lowerCamelCase__         =  json.loads(self._tokenizer.to_str()       )

								lowerCamelCase__         =  self.special_tokens["""unk"""]["""id"""]

								lowerCamelCase__         =  Tokenizer.from_str(json.dumps(_lowerCAmelCase       )       )

