






'''simple docstring'''







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

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


_A			:    Tuple					  =logging.getLogger(__name__)

class _lowercase			(       _lowercase	):




							def __init__(							self:       Optional[Any]    ,							UpperCamelCase__:       List[str]=-1  ):
														# in NER datasets, the last column is usually reserved for NER label
														lowerCamelCase__      :			Union[str, Any] 						= label_idx




							def 	lowerCamelCase_       (							self:       str    ,							UpperCamelCase__:       List[str]    ,							UpperCamelCase__:       Union[Split, str]  ):
														if isinstance(UpperCamelCase__    ,							UpperCamelCase__  ):
																					lowerCamelCase__      :			List[Any] 						= mode.value
														lowerCamelCase__      :			Optional[Any] 						= os.path.join(UpperCamelCase__    ,							F'''{mode}.txt'''  )
														lowerCamelCase__      :			Tuple 						= 1
														lowerCamelCase__      :			Dict 						= []
														with open(UpperCamelCase__    ,							encoding="""utf-8"""  ) as f:
																					lowerCamelCase__      :			Dict 						= []
																					lowerCamelCase__      :			Union[str, 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=UpperCamelCase__    ,							labels=UpperCamelCase__  )  )
																																										guid_index += 1
																																										lowerCamelCase__      :			int 						= []
																																										lowerCamelCase__      :			str 						= []
																												else:
																																			lowerCamelCase__      :			Any 						= line.split(""" """  )
																																			words.append(splits[0]  )
																																			if len(UpperCamelCase__  ) > 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=UpperCamelCase__    ,							labels=UpperCamelCase__  )  )
														return examples




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




							def 	lowerCamelCase_       (							self:       Dict    ,							UpperCamelCase__:       str  ):
														if path:
																					with open(UpperCamelCase__    ,							"""r"""  ) as f:
																												lowerCamelCase__      :			Any 						= f.read().splitlines()
																					if "O" not in labels:
																												lowerCamelCase__      :			Any 						= ["""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			(       _lowercase	):




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




							def 	lowerCamelCase_       (							self:       Dict    ,							UpperCamelCase__:       str  ):
														if path:
																					with open(UpperCamelCase__    ,							"""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 _lowercase			(       _lowercase	):




							def 	lowerCamelCase_       (							self:       Optional[Any]    ,							UpperCamelCase__:       Union[str, Any]    ,							UpperCamelCase__:       Union[Split, str]  ):
														if isinstance(UpperCamelCase__    ,							UpperCamelCase__  ):
																					lowerCamelCase__      :			Union[str, Any] 						= mode.value
														lowerCamelCase__      :			Tuple 						= os.path.join(UpperCamelCase__    ,							F'''{mode}.txt'''  )
														lowerCamelCase__      :			int 						= 1
														lowerCamelCase__      :			List[str] 						= []

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




							def 	lowerCamelCase_       (							self:       Optional[Any]    ,							UpperCamelCase__:       TextIO    ,							UpperCamelCase__:       TextIO    ,							UpperCamelCase__:       List  ):
														lowerCamelCase__      :			str 						= 0
														for sentence in parse_incr(UpperCamelCase__  ):
																					lowerCamelCase__      :			Optional[int] 						= preds_list[example_id]
																					lowerCamelCase__      :			Any 						= """"""
																					for token in sentence:
																												out += F'''{token['form']} ({token['upos']}|{s_p.pop(0  )}) '''
																					out += "\n"
																					writer.write(UpperCamelCase__  )
																					example_id += 1




							def 	lowerCamelCase_       (							self:       Dict    ,							UpperCamelCase__:       str  ):
														if path:
																					with open(UpperCamelCase__    ,							"""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 sys
import turtle





def 				SCREAMING_SNAKE_CASE_ (UpperCamelCase       ,    UpperCamelCase   )   -> tuple[float, float]:
							return (pa[0] + pa[0]) / 2, (pa[1] + pa[1]) / 2





def 				SCREAMING_SNAKE_CASE_ (UpperCamelCase       ,    UpperCamelCase       ,    UpperCamelCase       ,    UpperCamelCase       ,    )   -> None:
							my_pen.up()
							my_pen.goto(vertexa[0]       ,    vertexa[1]   )
							my_pen.down()
							my_pen.goto(vertexa[0]       ,    vertexa[1]   )
							my_pen.goto(vertexa[0]       ,    vertexa[1]   )
							my_pen.goto(vertexa[0]       ,    vertexa[1]   )

							if depth == 0:
														return

							triangle(UpperCamelCase       ,    get_mid(UpperCamelCase       ,    UpperCamelCase   )       ,    get_mid(UpperCamelCase       ,    UpperCamelCase   )       ,    depth - 1   )
							triangle(UpperCamelCase       ,    get_mid(UpperCamelCase       ,    UpperCamelCase   )       ,    get_mid(UpperCamelCase       ,    UpperCamelCase   )       ,    depth - 1   )
							triangle(UpperCamelCase       ,    get_mid(UpperCamelCase       ,    UpperCamelCase   )       ,    get_mid(UpperCamelCase       ,    UpperCamelCase   )       ,    depth - 1   )


if __name__ == "__main__":
			if len(sys.argv) != 2:
						raise ValueError(
						    '''Correct format for using this script: '''
						    '''python fractals.py <int:depth_for_fractal>'''
						)
			_A			:    Any					  =turtle.Turtle()
			my_pen.ht()
			my_pen.speed(5)
			my_pen.pencolor('''red''')

			_A			:    Dict					  =[(-175, -125), (0, 175), (175, -125)]  # vertices of triangle
			triangle(vertices[0], vertices[1], vertices[2], int(sys.argv[1]))

