
'''simple docstring'''





import colorsys
import io

import cva
import matplotlib as mpl
import matplotlib.colors as mplc
import matplotlib.figure as mplfigure
import numpy as np
import torch
from matplotlib.backends.backend_agg import FigureCanvasAgg

from utils import img_tensorize


a__		:   List[str]            =       1_0_0_0


class  UpperCamelCase__  :






 def __init__(			self  :Optional[Any]	,				_A  :Optional[Any]	,				_A  :Optional[int]=1.2	,				_A  :Any="g"	,				_A  :List[Any]=0.5	,				_A  :List[str]="-"	,				_A  :Optional[int]="test_out.jpg"	,				_A  :Optional[int]=True	,				_A  :Optional[Any]=False	,				_A  :List[Any]=None	,				_A  :int=None	,				_A  :Tuple=0.7	,				)				->			List[str]:







  '''simple docstring'''



  if isinstance(_snake_case	,				torch.Tensor			):
   __A       	=			img.numpy().astype('np.uint8'			)
  if isinstance(_snake_case	,				_snake_case			):
   __A       	=			img_tensorize(_snake_case			)
  assert isinstance(_snake_case	,				np.ndarray			)

  __A       	=			img.shape[1], img.shape[0]
  __A       	=			mplfigure.Figure(frameon=_snake_case			)
  __A       	=			fig.get_dpi()
  __A       	=			(width * scale + 1E-2) / dpi
  __A       	=			(height * scale + 1E-2) / dpi
  fig.set_size_inches(_snake_case	,				_snake_case			)
  __A       	=			fig.add_axes([0.0, 0.0, 1.0, 1.0]			)
  ax.axis('off'			)
  ax.set_xlim(0.0	,				_snake_case			)
  ax.set_ylim(_snake_case			)

  __A       	=			saveas
  __A       	=			rgb
  __A       	=			pynb
  __A       	=			img
  __A       	=			edgecolor
  __A       	=			0.5
  __A       	=			linestyle
  __A       	=			int(np.sqrt(min(_snake_case	,				_snake_case			)			) * scale // 3			)
  __A       	=			width
  __A       	=			height
  __A       	=			scale
  __A       	=			fig
  __A       	=			ax
  __A       	=			pad
  __A       	=			idaobj
  __A       	=			idaattr
  __A       	=			FigureCanvasAgg(_snake_case			)






 def 	lowercase_						(			self  :int	,				_A  :Any	,				_A  :int=None			)				->			List[str]:







  '''simple docstring'''



  if color is None:
   __A       	=			self.edgecolor
  (__A)       	=			box
  __A       	=			xa - xa
  __A       	=			ya - ya
  self.ax.add_patch(
      mpl.patches.Rectangle(
          (xa, ya)	,				_snake_case	,				_snake_case	,				fill=_snake_case	,				edgecolor=_snake_case	,				linewidth=self.font_size // 3	,				alpha=self.alpha	,				linestyle=self.linestyle	,				)			)






 def 	lowercase_						(			self  :Any	,				_A  :int	,				_A  :str=None	,				_A  :str=None	,				_A  :Any=None	,				_A  :Optional[Any]=None			)				->			List[Any]:







  '''simple docstring'''



  if len(boxes.shape			) > 2:
   __A       	=			boxes[0]
  if len(obj_ids.shape			) > 1:
   __A       	=			obj_ids[0]
  if len(obj_scores.shape			) > 1:
   __A       	=			obj_scores[0]
  if len(attr_ids.shape			) > 1:
   __A       	=			attr_ids[0]
  if len(attr_scores.shape			) > 1:
   __A       	=			attr_scores[0]
  if isinstance(_snake_case	,				torch.Tensor			):
   __A       	=			boxes.numpy()
  if isinstance(_snake_case	,				_snake_case			):
   __A       	=			np.array(_snake_case			)
  assert isinstance(_snake_case	,				np.ndarray			)
  __A       	=			np.prod(boxes[:, 2:] - boxes[:, :2]	,				axis=1			)
  __A       	=			np.argsort(-areas			).tolist()
  __A       	=			boxes[sorted_idxs] if boxes is not None else None
  __A       	=			obj_ids[sorted_idxs] if obj_ids is not None else None
  __A       	=			obj_scores[sorted_idxs] if obj_scores is not None else None
  __A       	=			attr_ids[sorted_idxs] if attr_ids is not None else None
  __A       	=			attr_scores[sorted_idxs] if attr_scores is not None else None

  __A       	=			[self._random_color(maximum=1			) for _ in range(len(_snake_case			)			)]
  __A       	=			[assigned_colors[idx] for idx in sorted_idxs]
  if obj_ids is not None:
   __A       	=			self._create_text_labels_attr(_snake_case	,				_snake_case	,				_snake_case	,				_snake_case			)
   for i in range(len(_snake_case			)			):
    __A       	=			assigned_colors[i]
    self.add_box(boxes[i]	,				_snake_case			)
    self.draw_labels(labels[i]	,				boxes[i]	,				_snake_case			)






 def 	lowercase_						(			self  :Tuple	,				_A  :Tuple	,				_A  :Optional[int]	,				_A  :List[Any]			)				->			Union[str, Any]:







  '''simple docstring'''



  __A       	=			box
  __A       	=			(xa, ya)
  __A       	=			(ya - ya) * (xa - xa)
  __A       	=			_SMALL_OBJ * self.scale
  if instance_area < small or ya - ya < 40 * self.scale:
   if ya >= self.height - 5:
    __A       	=			(xa, ya)
   else:
    __A       	=			(xa, ya)

  __A       	=			(ya - ya) / np.sqrt(self.height * self.width			)
  __A       	=			self._change_color_brightness(_snake_case	,				brightness_factor=0.7			)
  __A       	=			np.clip((height_ratio - 0.02) / 0.08 + 1	,				1.2	,				2			)
  font_size *= 0.75 * self.font_size

  self.draw_text(
      text=_snake_case	,				position=_snake_case	,				color=_snake_case	,				)






 def 	lowercase_						(			self  :Tuple	,				_A  :Union[str, Any]	,				_A  :int	,				_A  :List[str]="g"	,				_A  :str="left"	,				)				->			str:







  '''simple docstring'''



  __A       	=			0
  __A       	=			self.font_size
  __A       	=			np.maximum(list(mplc.to_rgb(_snake_case			)			)	,				0.2			)
  __A       	=			max(0.8	,				np.max(_snake_case			)			)
  __A       	=			{
      '''facecolor''': '''black''',
      '''alpha''': self.alpha,
      '''pad''': self.pad,
      '''edgecolor''': '''none''',
  }
  __A       	=			position
  self.ax.text(
      _snake_case	,				_snake_case	,				_snake_case	,				size=font_size * self.scale	,				family='sans-serif'	,				bbox=_snake_case	,				verticalalignment='top'	,				horizontalalignment=_snake_case	,				color=_snake_case	,				zorder=10	,				rotation=_snake_case	,				)






 def 	lowercase_						(			self  :Any	,				_A  :Tuple=None			)				->			Dict:







  '''simple docstring'''



  if saveas is None:
   __A       	=			self.saveas
  if saveas.lower().endswith('.jpg'			) or saveas.lower().endswith('.png'			):
   cva.imwrite(
       _snake_case	,				self._get_buffer()[:, :, ::-1]	,				)
  else:
   self.fig.savefig(_snake_case			)






 def 	lowercase_						(			self  :List[Any]	,				_A  :int	,				_A  :Optional[int]	,				_A  :Dict	,				_A  :Optional[int]			)				->			Optional[int]:







  '''simple docstring'''



  __A       	=			[self.idaobj[i] for i in classes]
  __A       	=			[self.idaattr[i] for i in attr_classes]
  __A       	=			[
      F'{label} {score:.2f} {attr} {attr_score:.2f}'
      for label, score, attr, attr_score in zip(_snake_case	,				_snake_case	,				_snake_case	,				_snake_case			)
  ]
  return labels






 def 	lowercase_						(			self  :List[Any]	,				_A  :List[Any]	,				_A  :Optional[int]			)				->			int:







  '''simple docstring'''



  __A       	=			[self.idaobj[i] for i in classes]
  if scores is not None:
   if labels is None:
    __A       	=			['''{:.0f}%'''.format(s * 100			) for s in scores]
   else:
    __A       	=			['''{} {:.0f}%'''.format(_snake_case	,				s * 100			) for li, s in zip(_snake_case	,				_snake_case			)]
  return labels






 def 	lowercase_						(			self  :Optional[Any]	,				_A  :Optional[int]=255			)				->			Optional[int]:







  '''simple docstring'''



  __A       	=			np.random.randint(0	,				len(_COLORS			)			)
  __A       	=			_COLORS[idx] * maximum
  if not self.rgb:
   __A       	=			ret[::-1]
  return ret






 def 	lowercase_						(			self  :str			)				->			Optional[Any]:







  '''simple docstring'''



  if not self.pynb:
   __A       	=			self.canvas.print_to_buffer()
   if (width, height) != (self.width, self.height):
    __A       	=			cva.resize(self.img	,				(width, height)			)
   else:
    __A       	=			self.img
  else:
   __A       	=			io.BytesIO()  # works for cairo backend
   self.canvas.print_rgba(_snake_case			)
   __A       	=			self.width, self.height
   __A       	=			buf.getvalue()
   __A       	=			self.img

  __A       	=			np.frombuffer(_snake_case	,				dtype='uint8'			)
  __A       	=			buffer.reshape(_snake_case	,				_snake_case	,				4			)
  __A       	=			np.split(_snake_case	,				[3]	,				axis=2			)

  try:
   import numexpr as ne  # fuse them with numexpr

   __A       	=			ne.evaluate('img * (1 - alpha / 255.0) + rgb * (alpha / 255.0)'			)
  except ImportError:
   __A       	=			alpha.astype('float32'			) / 255.0
   __A       	=			img * (1 - alpha) + rgb * alpha

  return visualized_image.astype('uint8'			)






 def 	lowercase_						(			self  :Union[str, Any]	,				_A  :Any	,				_A  :List[Any]			)				->			Optional[Any]:







  '''simple docstring'''



  assert brightness_factor >= -1.0 and brightness_factor <= 1.0
  __A       	=			mplc.to_rgb(_snake_case			)
  __A       	=			colorsys.rgb_to_hls(*mplc.to_rgb(_snake_case			)			)
  __A       	=			polygon_color[1] + (brightness_factor * polygon_color[1])
  __A       	=			0.0 if modified_lightness < 0.0 else modified_lightness
  __A       	=			1.0 if modified_lightness > 1.0 else modified_lightness
  __A       	=			colorsys.hls_to_rgb(polygon_color[0]	,				_snake_case	,				polygon_color[2]			)
  return modified_color
a__		:   Union[str, Any]            =       (
    np.array(
        [
            0.000,
            0.447,
            0.741,
            0.850,
            0.325,
            0.098,
            0.929,
            0.694,
            0.125,
            0.494,
            0.184,
            0.556,
            0.466,
            0.674,
            0.188,
            0.301,
            0.745,
            0.933,
            0.635,
            0.078,
            0.184,
            0.300,
            0.300,
            0.300,
            0.600,
            0.600,
            0.600,
            1.000,
            0.000,
            0.000,
            1.000,
            0.500,
            0.000,
            0.749,
            0.749,
            0.000,
            0.000,
            1.000,
            0.000,
            0.000,
            0.000,
            1.000,
            0.667,
            0.000,
            1.000,
            0.333,
            0.333,
            0.000,
            0.333,
            0.667,
            0.000,
            0.333,
            1.000,
            0.000,
            0.667,
            0.333,
            0.000,
            0.667,
            0.667,
            0.000,
            0.667,
            1.000,
            0.000,
            1.000,
            0.333,
            0.000,
            1.000,
            0.667,
            0.000,
            1.000,
            1.000,
            0.000,
            0.000,
            0.333,
            0.500,
            0.000,
            0.667,
            0.500,
            0.000,
            1.000,
            0.500,
            0.333,
            0.000,
            0.500,
            0.333,
            0.333,
            0.500,
            0.333,
            0.667,
            0.500,
            0.333,
            1.000,
            0.500,
            0.667,
            0.000,
            0.500,
            0.667,
            0.333,
            0.500,
            0.667,
            0.667,
            0.500,
            0.667,
            1.000,
            0.500,
            1.000,
            0.000,
            0.500,
            1.000,
            0.333,
            0.500,
            1.000,
            0.667,
            0.500,
            1.000,
            1.000,
            0.500,
            0.000,
            0.333,
            1.000,
            0.000,
            0.667,
            1.000,
            0.000,
            1.000,
            1.000,
            0.333,
            0.000,
            1.000,
            0.333,
            0.333,
            1.000,
            0.333,
            0.667,
            1.000,
            0.333,
            1.000,
            1.000,
            0.667,
            0.000,
            1.000,
            0.667,
            0.333,
            1.000,
            0.667,
            0.667,
            1.000,
            0.667,
            1.000,
            1.000,
            1.000,
            0.000,
            1.000,
            1.000,
            0.333,
            1.000,
            1.000,
            0.667,
            1.000,
            0.333,
            0.000,
            0.000,
            0.500,
            0.000,
            0.000,
            0.667,
            0.000,
            0.000,
            0.833,
            0.000,
            0.000,
            1.000,
            0.000,
            0.000,
            0.000,
            0.167,
            0.000,
            0.000,
            0.333,
            0.000,
            0.000,
            0.500,
            0.000,
            0.000,
            0.667,
            0.000,
            0.000,
            0.833,
            0.000,
            0.000,
            1.000,
            0.000,
            0.000,
            0.000,
            0.167,
            0.000,
            0.000,
            0.333,
            0.000,
            0.000,
            0.500,
            0.000,
            0.000,
            0.667,
            0.000,
            0.000,
            0.833,
            0.000,
            0.000,
            1.000,
            0.000,
            0.000,
            0.000,
            0.143,
            0.143,
            0.143,
            0.857,
            0.857,
            0.857,
            1.000,
            1.000,
            1.000,
        ]
    )
    .astype(np.floataa)
    .reshape(-1, 3)
)








'''simple docstring'''





import hashlib
import importlib.util
import json
import os
import pathlib
from types import ModuleType

import pytest
import requests

a__		:   List[Any]            =       pathlib.Path.cwd().joinpath("project_euler")
a__		:   Union[str, Any]            =       pathlib.Path.cwd().joinpath(
    "scripts", "project_euler_answers.json"
)

with open(PROJECT_EULER_ANSWERS_PATH) as file_handle:
 a__		:   dict[str, str]            =       json.load(file_handle)





def        snake_case							(		UpperCAmelCase	)->			ModuleType:







      """simple docstring"""
      __A       	=			importlib.util.spec_from_file_location(file_path.name      ,  str(UpperCAmelCase	)	)
      __A       	=			importlib.util.module_from_spec(UpperCAmelCase	)  # type: ignore
      spec.loader.exec_module(UpperCAmelCase	)  # type: ignore
      return module





def        snake_case							(		)->			list[pathlib.Path]:







      """simple docstring"""
      __A       	=			[]
      for problem_dir_path in PROJECT_EULER_DIR_PATH.iterdir():
            if problem_dir_path.is_file() or problem_dir_path.name.startswith('_'	):
                  continue
            for file_path in problem_dir_path.iterdir():
                  if file_path.suffix != ".py" or file_path.name.startswith(('_', 'test')	):
                        continue
                  solution_file_paths.append(UpperCAmelCase	)
      return solution_file_paths





def        snake_case							(		)->			str:







      """simple docstring"""
      with open(os.environ['GITHUB_EVENT_PATH']	) as file:
            __A       	=			json.load(UpperCAmelCase	)
      return event["pull_request"]["url"] + "/files"





def        snake_case							(		)->			list[pathlib.Path]:







      """simple docstring"""
      __A       	=			[]
      __A       	=			{
          'Accept': 'application/vnd.github.v3+json',
          'Authorization': 'token ' + os.environ['GITHUB_TOKEN'],
      }
      __A       	=			requests.get(get_files_url()      ,  headers=UpperCAmelCase	).json()
      for file in files:
            __A       	=			pathlib.Path.cwd().joinpath(file['filename']	)
            if (
                filepath.suffix != ".py"
                or filepath.name.startswith(('_', 'test')	)
                or not filepath.name.startswith('sol'	)
            ):
                  continue
            solution_file_paths.append(UpperCAmelCase	)
      return solution_file_paths





def        snake_case							(		)->			list[pathlib.Path]:







      """simple docstring"""
      if os.environ.get('CI'	) and os.environ.get('GITHUB_EVENT_NAME'	) == "pull_request":
            # Return only if there are any, otherwise default to all solutions
            if filepaths := added_solution_file_path():
                  return filepaths
      return all_solution_file_paths()





@pytest.mark.parametrize(
    'solution_path'      ,  collect_solution_file_paths()      ,  ids=lambda UpperCAmelCase	: f'{path.parent.name}/{path.name}'      ,  )
def        snake_case							(		UpperCAmelCase	)->			None:







      """simple docstring"""
      __A       	=			solution_path.parent.name[8:].zfill(3	)
      __A       	=			PROBLEM_ANSWERS[problem_number]
      __A       	=			convert_path_to_module(UpperCAmelCase	)
      __A       	=			str(solution_module.solution()	)  # type: ignore
      __A       	=			hashlib.shaaaa(answer.encode()	).hexdigest()
      assert (
          answer == expected
      ), f'Expected solution to {problem_number} to have hash {expected}, got {answer}'






