





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

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


UpperCamelCase__           =			logging.getLogger(__name__)

class 							__SCREAMING_SNAKE_CASE       (  _a							):






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






							def 					_lowerCamelCase		(    self	,			__lowerCAmelCase	,			__lowerCAmelCase	):
														if isinstance(__lowerCAmelCase	,			__lowerCAmelCase	):
																					UpperCamelCase__					  =      mode.value
														UpperCamelCase__					  =      os.path.join(__lowerCAmelCase	,			f"""{mode}.txt"""	)
														UpperCamelCase__					  =      1
														UpperCamelCase__					  =      []
														with open(__lowerCAmelCase	,			encoding="""utf-8"""	) as f:
																					UpperCamelCase__					  =      []
																					UpperCamelCase__					  =      []
																					for line in f:
																												if line.startswith("""-DOCSTART-"""	) or line == "" or line == "\n":
																																			if words:
																																										examples.append(InputExample(guid=f"""{mode}-{guid_index}"""	,			words=__lowerCAmelCase	,			labels=__lowerCAmelCase	)	)
																																										guid_index += 1
																																										UpperCamelCase__					  =      []
																																										UpperCamelCase__					  =      []
																												else:
																																			UpperCamelCase__					  =      line.split(""" """	)
																																			words.append(splits[0]	)
																																			if len(__lowerCAmelCase	) > 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=__lowerCAmelCase	,			labels=__lowerCAmelCase	)	)
														return examples






							def 					_lowerCamelCase		(    self	,			__lowerCAmelCase	,			__lowerCAmelCase	,			__lowerCAmelCase	):
														UpperCamelCase__					  =      0
														for line in test_input_reader:
																					if line.startswith("""-DOCSTART-"""	) or line == "" or line == "\n":
																												writer.write(__lowerCAmelCase	)
																												if not preds_list[example_id]:
																																			example_id += 1
																					elif preds_list[example_id]:
																												UpperCamelCase__					  =      line.split()[0] + """ """ + preds_list[example_id].pop(0	) + """\n"""
																												writer.write(__lowerCAmelCase	)
																					else:
																												logger.warning("""Maximum sequence length exceeded: No prediction for '%s'."""	,			line.split()[0]	)







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






class 							__SCREAMING_SNAKE_CASE       (  _a							):






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







							def 					_lowerCamelCase		(    self	,			__lowerCAmelCase	):
														if path:
																					with open(__lowerCAmelCase	,			"""r"""	) as f:
																												UpperCamelCase__					  =      f.read().splitlines()
																					if "O" not in labels:
																												UpperCamelCase__					  =      ["""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 							__SCREAMING_SNAKE_CASE       (  _a							):






							def 					_lowerCamelCase		(    self	,			__lowerCAmelCase	,			__lowerCAmelCase	):
														if isinstance(__lowerCAmelCase	,			__lowerCAmelCase	):
																					UpperCamelCase__					  =      mode.value
														UpperCamelCase__					  =      os.path.join(__lowerCAmelCase	,			f"""{mode}.txt"""	)
														UpperCamelCase__					  =      1
														UpperCamelCase__					  =      []

														with open(__lowerCAmelCase	,			encoding="""utf-8"""	) as f:
																					for sentence in parse_incr(__lowerCAmelCase	):
																												UpperCamelCase__					  =      []
																												UpperCamelCase__					  =      []
																												for token in sentence:
																																			words.append(token["""form"""]	)
																																			labels.append(token["""upos"""]	)
																												assert len(__lowerCAmelCase	) == len(__lowerCAmelCase	)
																												if words:
																																			examples.append(InputExample(guid=f"""{mode}-{guid_index}"""	,			words=__lowerCAmelCase	,			labels=__lowerCAmelCase	)	)
																																			guid_index += 1
														return examples






							def 					_lowerCamelCase		(    self	,			__lowerCAmelCase	,			__lowerCAmelCase	,			__lowerCAmelCase	):
														UpperCamelCase__					  =      0
														for sentence in parse_incr(__lowerCAmelCase	):
																					UpperCamelCase__					  =      preds_list[example_id]
																					UpperCamelCase__					  =      """"""
																					for token in sentence:
																												out += f"""{token["form"]} ({token["upos"]}|{s_p.pop(0	)}) """
																					out += "\n"
																					writer.write(__lowerCAmelCase	)
																					example_id += 1







							def 					_lowerCamelCase		(    self	,			__lowerCAmelCase	):
														if path:
																					with open(__lowerCAmelCase	,			"""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 __future__ import annotations

from math import pi





def      _UpperCamelCase  (a__ :float ,      a__ :float ,      a__ :float							):






							"""simple docstring"""





							if (inductance, frequency, reactance).count(0							) != 1:
														raise ValueError("""One and only one argument must be 0"""							)
							if inductance < 0:
														raise ValueError("""Inductance cannot be negative"""							)
							if frequency < 0:
														raise ValueError("""Frequency cannot be negative"""							)
							if reactance < 0:
														raise ValueError("""Inductive reactance cannot be negative"""							)
							if inductance == 0:
														return {"inductance": reactance / (2 * pi * frequency)}
							elif frequency == 0:
														return {"frequency": reactance / (2 * pi * inductance)}
							elif reactance == 0:
														return {"reactance": 2 * pi * frequency * inductance}
							else:
														raise ValueError("""Exactly one argument must be 0"""							)


if __name__ == "__main__":
					import doctest

					doctest.testmod()




