



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

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


_snake_case	=						logging.getLogger(__name__)



class 						UpperCAmelCase_					( a):







							def __init__(     self,    __a=-1):

														'''simple docstring'''

														_lowerCAmelCase  :							Union[str, Any]				     =					label_idx







							def      snake_case__   (     self,    __a,    __a):

														'''simple docstring'''

														if isinstance(__a,    __a):
																					_lowerCAmelCase  :							List[Any]				     =					mode.value
														_lowerCAmelCase  :							Dict				     =					os.path.join(__a,    f"{mode}.txt")
														_lowerCAmelCase  :							Any				     =					1
														_lowerCAmelCase  :							Optional[int]				     =					[]
														with open(__a,    encoding="utf-8") as f:
																					_lowerCAmelCase  :							Optional[int]				     =					[]
																					_lowerCAmelCase  :							Dict				     =					[]
																					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  :							Dict				     =					[]
																																										_lowerCAmelCase  :							Dict				     =					[]
																												else:
																																			_lowerCAmelCase  :							List[Any]				     =					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      snake_case__   (     self,    __a,    __a,    __a):

														'''simple docstring'''

														_lowerCAmelCase  :							str				     =					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  :							Dict				     =					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      snake_case__   (     self,    __a):

														'''simple docstring'''

														if path:
																					with open(__a,    "r") as f:
																												_lowerCAmelCase  :							Optional[Any]				     =					f.read().splitlines()
																					if "O" not in labels:
																												_lowerCAmelCase  :							Optional[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_					( a):







							def __init__(     self):

														'''simple docstring'''

														super().__init__(label_idx=-2)







							def      snake_case__   (     self,    __a):

														'''simple docstring'''

														if path:
																					with open(__a,    "r") as f:
																												_lowerCAmelCase  :							Any				     =					f.read().splitlines()
																					if "O" not in labels:
																												_lowerCAmelCase  :							List[str]				     =					["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_					( a):







							def      snake_case__   (     self,    __a,    __a):

														'''simple docstring'''

														if isinstance(__a,    __a):
																					_lowerCAmelCase  :							Optional[Any]				     =					mode.value
														_lowerCAmelCase  :							Optional[int]				     =					os.path.join(__a,    f"{mode}.txt")
														_lowerCAmelCase  :							Optional[int]				     =					1
														_lowerCAmelCase  :							Tuple				     =					[]

														with open(__a,    encoding="utf-8") as f:
																					for sentence in parse_incr(__a):
																												_lowerCAmelCase  :							int				     =					[]
																												_lowerCAmelCase  :							Dict				     =					[]
																												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      snake_case__   (     self,    __a,    __a,    __a):

														'''simple docstring'''

														_lowerCAmelCase  :							Optional[Any]				     =					0
														for sentence in parse_incr(__a):
																					_lowerCAmelCase  :							Dict				     =					preds_list[example_id]
																					_lowerCAmelCase  :							Tuple				     =					""
																					for token in sentence:
																												out += f"{token['form']} ({token['upos']}|{s_p.pop(0)}) "
																					out += "\n"
																					writer.write(__a)
																					example_id += 1







							def      snake_case__   (     self,    __a):

														'''simple docstring'''

														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 numpy as np
from cva import COLOR_BGR2GRAY, CV_8UC3, cvtColor, filteraD, imread, imshow, waitKey






def        A       (      _lowerCamelCase       ,				_lowerCamelCase       ,				_lowerCamelCase       ,				_lowerCamelCase       ,				_lowerCamelCase       ,				_lowerCamelCase						):





							'''simple docstring'''




							if (ksize % 2) == 0:
														_lowerCAmelCase  :							str				     =					ksize + 1
							_lowerCAmelCase  :							List[str]				     =					np.zeros((ksize, ksize)       ,				dtype=np.floataa						)

							# each value
							for y in range(_lowerCamelCase						):
														for x in range(_lowerCamelCase						):
																					# distance from center
																					_lowerCAmelCase  :							int				     =					x - ksize // 2
																					_lowerCAmelCase  :							Dict				     =					y - ksize // 2

																					# degree to radiant
																					_lowerCAmelCase  :							List[Any]				     =					theta / 180 * np.pi
																					_lowerCAmelCase  :							int				     =					np.cos(_theta						)
																					_lowerCAmelCase  :							Optional[int]				     =					np.sin(_theta						)

																					# get kernel x
																					_lowerCAmelCase  :							int				     =					cos_theta * px + sin_theta * py

																					# get kernel y
																					_lowerCAmelCase  :							str				     =					-sin_theta * px + cos_theta * py

																					# fill kernel
																					_lowerCAmelCase  :							Union[str, Any]				     =					np.exp(
																					    -(_x**2 + gamma**2 * _y**2) / (2 * sigma**2)						) * np.cos(2 * np.pi * _x / lambd + psi						)

							return gabor


if __name__ == "__main__":
						import doctest

						doctest.testmod()
						# read original image
						_snake_case	=						imread("../image_data/lena.jpg")
						# turn image in gray scale value
						_snake_case	=						cvtColor(img, COLOR_BGR2GRAY)

						# Apply multiple Kernel to detect edges
						_snake_case	=						np.zeros(gray.shape[:2])
						for theta in [0, 30, 60, 90, 120, 150]:
												_snake_case	=						gabor_filter_kernel(10, 8, theta, 10, 0, 0)
												out += filteraD(gray, CV_8UC3, kernel_aa)
						_snake_case	=						out / out.max() * 255
						_snake_case	=						out.astype(np.uinta)

						imshow("Original", gray)
						imshow("Gabor filter with 20x20 mask and 6 directions", out)

						waitKey(0)
