

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

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


a__				=		logging.getLogger(__name__)

class 				UpperCAmelCase_		(			__lowercase   ):
							"""simple docstring"""







							def __init__(			self       ,							_a=-1       )    ->    Optional[int]:
												# in NER datasets, the last column is usually reserved for NER label
												_a	:    int         =		label_idx


							def 				__lowercase				(			self       ,							_a       ,							_a       )    ->    List[InputExample]:
												if isinstance(_a       ,							_a       ):
																	_a	:    Dict         =		mode.value
												_a	:    Tuple         =		os.path.join(_a       ,							F"""{mode}.txt"""       )
												_a	:    List[str]         =		1
												_a	:    Any         =		[]
												with open(_a       ,							encoding='''utf-8'''       ) as f:
																	_a	:    List[Any]         =		[]
																	_a	:    str         =		[]
																	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
																																_a	:    Any         =		[]
																																_a	:    List[Any]         =		[]
																						else:
																											_a	:    Tuple         =		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 				__lowercase				(			self       ,							_a       ,							_a       ,							_a       )    ->    Union[str, Any]:
												_a	:    int         =		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]:
																						_a	:    Optional[int]         =		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 				__lowercase				(			self       ,							_a       )    ->    List[str]:
												if path:
																	with open(_a       ,							'''r'''       ) as f:
																						_a	:    Tuple         =		f.read().splitlines()
																	if "O" not in labels:
																						_a	:    int         =		['''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_		(			__lowercase   ):
							"""simple docstring"""







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




							def 				__lowercase				(			self       ,							_a       )    ->    List[str]:
												if path:
																	with open(_a       ,							'''r'''       ) as f:
																						_a	:    Union[str, Any]         =		f.read().splitlines()
																	if "O" not in labels:
																						_a	:    List[Any]         =		['''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_		(			__lowercase   ):
							"""simple docstring"""







							def 				__lowercase				(			self       ,							_a       ,							_a       )    ->    List[InputExample]:
												if isinstance(_a       ,							_a       ):
																	_a	:    str         =		mode.value
												_a	:    Tuple         =		os.path.join(_a       ,							F"""{mode}.txt"""       )
												_a	:    List[str]         =		1
												_a	:    Union[str, Any]         =		[]

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




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






from typing import TYPE_CHECKING

from ....utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


a__				=		{'''configuration_mmbt''': ['''MMBTConfig''']}

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			a__				=		['''MMBTForClassification''', '''MMBTModel''', '''ModalEmbeddings''']


if TYPE_CHECKING:
			from .configuration_mmbt import MMBTConfig

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_mmbt import MMBTForClassification, MMBTModel, ModalEmbeddings

else:
			import sys

			a__				=		_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)



