

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

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


lowercase_									=   logging.getLogger(__name__)





class  __lowerCAmelCase     (					SCREAMING_SNAKE_CASE							):




  def __init__(				self							,   lowerCAmelCase=-1					)  -> List[str]:
        '''simple docstring'''






        _lowercase	       =label_idx




  def   A__     (				self							,   lowerCAmelCase							,   lowerCAmelCase					)  -> List[InputExample]:
        '''simple docstring'''






        if isinstance(lowerCAmelCase							,   lowerCAmelCase					):
              _lowercase	       =mode.value
        _lowercase	       =os.path.join(lowerCAmelCase							,   F'''{mode}.txt'''					)
        _lowercase	       =1
        _lowercase	       =[]
        with open(lowerCAmelCase							,   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=lowerCAmelCase							,   labels=lowerCAmelCase					)					)
                                guid_index += 1
                                _lowercase	       =[]
                                _lowercase	       =[]
                    else:
                          _lowercase	       =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   A__     (				self							,   lowerCAmelCase							,   lowerCAmelCase							,   lowerCAmelCase					)  -> Tuple:
        '''simple docstring'''






        _lowercase	       =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]:
                    _lowercase	       =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   A__     (				self							,   lowerCAmelCase					)  -> List[str]:
        '''simple docstring'''






        if path:
              with open(lowerCAmelCase							,   '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  __lowerCAmelCase     (					SCREAMING_SNAKE_CASE							):




  def __init__(				self					)  -> List[Any]:
        '''simple docstring'''






        super().__init__(label_idx=-2					)




  def   A__     (				self							,   lowerCAmelCase					)  -> List[str]:
        '''simple docstring'''






        if path:
              with open(lowerCAmelCase							,   '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  __lowerCAmelCase     (					SCREAMING_SNAKE_CASE							):




  def   A__     (				self							,   lowerCAmelCase							,   lowerCAmelCase					)  -> List[InputExample]:
        '''simple docstring'''






        if isinstance(lowerCAmelCase							,   lowerCAmelCase					):
              _lowercase	       =mode.value
        _lowercase	       =os.path.join(lowerCAmelCase							,   F'''{mode}.txt'''					)
        _lowercase	       =1
        _lowercase	       =[]

        with open(lowerCAmelCase							,   encoding='utf-8'					) as f:
              for sentence in parse_incr(lowerCAmelCase					):
                    _lowercase	       =[]
                    _lowercase	       =[]
                    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   A__     (				self							,   lowerCAmelCase							,   lowerCAmelCase							,   lowerCAmelCase					)  -> Any:
        '''simple docstring'''






        _lowercase	       =0
        for sentence in parse_incr(lowerCAmelCase					):
              _lowercase	       =preds_list[example_id]
              _lowercase	       =''
              for token in sentence:
                    out += F'''{token["form"]} ({token["upos"]}|{s_p.pop(0					)}) '''
              out += "\n"
              writer.write(lowerCAmelCase					)
              example_id += 1




  def   A__     (				self							,   lowerCAmelCase					)  -> List[str]:
        '''simple docstring'''






        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",
              ]





import numpy as np
from cva import COLOR_BGR2GRAY, CV_8UC3, cvtColor, filteraD, imread, imshow, waitKey
def      a      (			A__	:   int      ,   A__	:   int      ,   A__	:   int      ,   A__	:   int      ,   A__	:   int      ,   A__	:   int     )    ->      np.ndarray:





      """simple docstring"""



      if (ksize % 2) == 0:
            _lowercase	       =ksize + 1
      _lowercase	       =np.zeros((ksize, ksize)      ,   dtype=np.floataa     )

      # each value
      for y in range(A__     ):
            for x in range(A__     ):
                  # distance from center
                  _lowercase	       =x - ksize // 2
                  _lowercase	       =y - ksize // 2

                  # degree to radiant
                  _lowercase	       =theta / 180 * np.pi
                  _lowercase	       =np.cos(_theta     )
                  _lowercase	       =np.sin(_theta     )

                  # get kernel x
                  _lowercase	       =cos_theta * px + sin_theta * py

                  # get kernel y
                  _lowercase	       =-sin_theta * px + cos_theta * py

                  # fill kernel
                  _lowercase	       =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
  lowercase_									=   imread('../image_data/lena.jpg')
  # turn image in gray scale value
  lowercase_									=   cvtColor(img, COLOR_BGR2GRAY)

  # Apply multiple Kernel to detect edges
  lowercase_									=   np.zeros(gray.shape[:2])
  for theta in [0, 3_0, 6_0, 9_0, 1_2_0, 1_5_0]:
    lowercase_									=   gabor_filter_kernel(1_0, 8, theta, 1_0, 0, 0)
    out += filteraD(gray, CV_8UC3, kernel_aa)
  lowercase_									=   out / out.max() * 2_5_5
  lowercase_									=   out.astype(np.uinta)

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

  waitKey(0)


