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

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


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







class        lowercase	(      SCREAMING_SNAKE_CASE__	):




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




							def 				A__   (       self     ,A__     ,A__):
												if isinstance(A__     ,A__):
																	lowercase					=		mode.value
												lowercase					=		os.path.join(A__     ,f'{mode}.txt')
												lowercase					=		1
												lowercase					=		[]
												with open(A__     ,encoding='''utf-8''') as f:
																	lowercase					=		[]
																	lowercase					=		[]
																	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
																																lowercase					=		[]
																																lowercase					=		[]
																						else:
																											lowercase					=		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 				A__   (       self     ,A__     ,A__     ,A__):
												lowercase					=		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]:
																						lowercase					=		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 				A__   (       self     ,A__):
												if path:
																	with open(A__     ,'''r''') as f:
																						lowercase					=		f.read().splitlines()
																	if "O" not in labels:
																						lowercase					=		['''O'''] + labels
																	return labels
												else:
																	return ["O", "B-MISC", "I-MISC", "B-PER", "I-PER", "B-ORG", "I-ORG", "B-LOC", "I-LOC"]







class        lowercase	(      SCREAMING_SNAKE_CASE__	):




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





							def 				A__   (       self     ,A__):
												if path:
																	with open(A__     ,'''r''') as f:
																						lowercase					=		f.read().splitlines()
																	if "O" not in labels:
																						lowercase					=		['''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        lowercase	(      SCREAMING_SNAKE_CASE__	):




							def 				A__   (       self     ,A__     ,A__):
												if isinstance(A__     ,A__):
																	lowercase					=		mode.value
												lowercase					=		os.path.join(A__     ,f'{mode}.txt')
												lowercase					=		1
												lowercase					=		[]

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





							def 				A__   (       self     ,A__):
												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 diffusers import StableDiffusionInpaintPipeline as StableDiffusionInpaintPipeline  # noqa F401


warnings.warn(
    "The `inpainting.py` script is outdated. Please use directly `from diffusers import"
    " StableDiffusionInpaintPipeline` instead."
)




