
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


SCREAMING_SNAKE_CASE__     :    List[str]      							=					1_000

class      lowerCAmelCase__  :






		def __init__(	self	:							Tuple							,    SCREAMING_SNAKE_CASE__	:							List[str]							,    SCREAMING_SNAKE_CASE__	:							List[Any]=1.2							,    SCREAMING_SNAKE_CASE__	:							Union[str, Any]="g"							,    SCREAMING_SNAKE_CASE__	:							Tuple=0.5							,    SCREAMING_SNAKE_CASE__	:							List[str]="-"							,    SCREAMING_SNAKE_CASE__	:							Any="test_out.jpg"							,    SCREAMING_SNAKE_CASE__	:							int=True							,    SCREAMING_SNAKE_CASE__	:							Optional[int]=False							,    SCREAMING_SNAKE_CASE__	:							Any=None							,    SCREAMING_SNAKE_CASE__	:							Optional[Any]=None							,    SCREAMING_SNAKE_CASE__	:							int=0.7							,    )  ->							str:
						if isinstance(SCREAMING_SNAKE_CASE__							,    torch.Tensor						):
										__lowerCamelCase					      =			img.numpy().astype('''np.uint8'''						)
						if isinstance(SCREAMING_SNAKE_CASE__							,    SCREAMING_SNAKE_CASE__						):
										__lowerCamelCase					      =			img_tensorize(SCREAMING_SNAKE_CASE__						)
						assert isinstance(SCREAMING_SNAKE_CASE__							,    np.ndarray						)

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

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






		def 				__A (	self	:							Dict							,    SCREAMING_SNAKE_CASE__	:							int							,    SCREAMING_SNAKE_CASE__	:							Optional[int]=None						)  ->							List[Any]:
						if color is None:
										__lowerCamelCase					      =			self.edgecolor
						((__lowerCamelCase)      ,					(__lowerCamelCase)      ,					(__lowerCamelCase)      ,					(__lowerCamelCase))					      =			box
						__lowerCamelCase					      =			xa - xa
						__lowerCamelCase					      =			ya - ya
						self.ax.add_patch(
						    mpl.patches.Rectangle(
						        (xa, ya)							,    SCREAMING_SNAKE_CASE__							,    SCREAMING_SNAKE_CASE__							,    fill=SCREAMING_SNAKE_CASE__							,    edgecolor=SCREAMING_SNAKE_CASE__							,    linewidth=self.font_size // 3							,    alpha=self.alpha							,    linestyle=self.linestyle							,    )						)






		def 				__A (	self	:							Optional[Any]							,    SCREAMING_SNAKE_CASE__	:							Any							,    SCREAMING_SNAKE_CASE__	:							Union[str, Any]=None							,    SCREAMING_SNAKE_CASE__	:							Any=None							,    SCREAMING_SNAKE_CASE__	:							List[Any]=None							,    SCREAMING_SNAKE_CASE__	:							Tuple=None						)  ->							Dict:
						if len(boxes.shape						) > 2:
										__lowerCamelCase					      =			boxes[0]
						if len(obj_ids.shape						) > 1:
										__lowerCamelCase					      =			obj_ids[0]
						if len(obj_scores.shape						) > 1:
										__lowerCamelCase					      =			obj_scores[0]
						if len(attr_ids.shape						) > 1:
										__lowerCamelCase					      =			attr_ids[0]
						if len(attr_scores.shape						) > 1:
										__lowerCamelCase					      =			attr_scores[0]
						if isinstance(SCREAMING_SNAKE_CASE__							,    torch.Tensor						):
										__lowerCamelCase					      =			boxes.numpy()
						if isinstance(SCREAMING_SNAKE_CASE__							,    SCREAMING_SNAKE_CASE__						):
										__lowerCamelCase					      =			np.array(SCREAMING_SNAKE_CASE__						)
						assert isinstance(SCREAMING_SNAKE_CASE__							,    np.ndarray						)
						__lowerCamelCase					      =			np.prod(boxes[:, 2:] - boxes[:, :2]							,    axis=1						)
						__lowerCamelCase					      =			np.argsort(-areas						).tolist()
						__lowerCamelCase					      =			boxes[sorted_idxs] if boxes is not None else None
						__lowerCamelCase					      =			obj_ids[sorted_idxs] if obj_ids is not None else None
						__lowerCamelCase					      =			obj_scores[sorted_idxs] if obj_scores is not None else None
						__lowerCamelCase					      =			attr_ids[sorted_idxs] if attr_ids is not None else None
						__lowerCamelCase					      =			attr_scores[sorted_idxs] if attr_scores is not None else None

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






		def 				__A (	self	:							Any							,    SCREAMING_SNAKE_CASE__	:							Dict							,    SCREAMING_SNAKE_CASE__	:							str							,    SCREAMING_SNAKE_CASE__	:							Any						)  ->							Optional[int]:
						__lowerCamelCase      ,					__lowerCamelCase      ,					__lowerCamelCase      ,					__lowerCamelCase					      =			box
						__lowerCamelCase					      =			(xa, ya)
						__lowerCamelCase					      =			(ya - ya) * (xa - xa)
						__lowerCamelCase					      =			_SMALL_OBJ * self.scale
						if instance_area < small or ya - ya < 40 * self.scale:
										if ya >= self.height - 5:
														__lowerCamelCase					      =			(xa, ya)
										else:
														__lowerCamelCase					      =			(xa, ya)

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

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






		def 				__A (	self	:							Optional[Any]							,    SCREAMING_SNAKE_CASE__	:							Optional[Any]							,    SCREAMING_SNAKE_CASE__	:							Dict							,    SCREAMING_SNAKE_CASE__	:							Optional[Any]="g"							,    SCREAMING_SNAKE_CASE__	:							Dict="left"							,    )  ->							List[Any]:
						__lowerCamelCase					      =			0
						__lowerCamelCase					      =			self.font_size
						__lowerCamelCase					      =			np.maximum(list(mplc.to_rgb(SCREAMING_SNAKE_CASE__						)						)							,    0.2						)
						__lowerCamelCase					      =			max(0.8							,    np.max(SCREAMING_SNAKE_CASE__						)						)
						__lowerCamelCase					      =			{
						    '''facecolor''': '''black''',
						    '''alpha''': self.alpha,
						    '''pad''': self.pad,
						    '''edgecolor''': '''none''',
						}
						__lowerCamelCase      ,					__lowerCamelCase					      =			position
						self.ax.text(
						    SCREAMING_SNAKE_CASE__							,    SCREAMING_SNAKE_CASE__							,    SCREAMING_SNAKE_CASE__							,    size=font_size * self.scale							,    family='''sans-serif'''							,    bbox=SCREAMING_SNAKE_CASE__							,    verticalalignment='''top'''							,    horizontalalignment=SCREAMING_SNAKE_CASE__							,    color=SCREAMING_SNAKE_CASE__							,    zorder=10							,    rotation=SCREAMING_SNAKE_CASE__							,    )






		def 				__A (	self	:							List[str]							,    SCREAMING_SNAKE_CASE__	:							str=None						)  ->							Optional[int]:
						if saveas is None:
										__lowerCamelCase					      =			self.saveas
						if saveas.lower().endswith('''.jpg'''						) or saveas.lower().endswith('''.png'''						):
										cva.imwrite(
										    SCREAMING_SNAKE_CASE__							,    self._get_buffer()[:, :, ::-1]							,    )
						else:
										self.fig.savefig(SCREAMING_SNAKE_CASE__						)






		def 				__A (	self	:							List[str]							,    SCREAMING_SNAKE_CASE__	:							str							,    SCREAMING_SNAKE_CASE__	:							Any							,    SCREAMING_SNAKE_CASE__	:							List[Any]							,    SCREAMING_SNAKE_CASE__	:							Tuple						)  ->							Dict:
						__lowerCamelCase					      =			[self.idaobj[i] for i in classes]
						__lowerCamelCase					      =			[self.idaattr[i] for i in attr_classes]
						__lowerCamelCase					      =			[
						    f'''{label} {score:.2f} {attr} {attr_score:.2f}'''
						    for label, score, attr, attr_score in zip(SCREAMING_SNAKE_CASE__							,    SCREAMING_SNAKE_CASE__							,    SCREAMING_SNAKE_CASE__							,    SCREAMING_SNAKE_CASE__						)
						]
						return labels






		def 				__A (	self	:							List[Any]							,    SCREAMING_SNAKE_CASE__	:							List[str]							,    SCREAMING_SNAKE_CASE__	:							Optional[Any]						)  ->							Dict:
						__lowerCamelCase					      =			[self.idaobj[i] for i in classes]
						if scores is not None:
										if labels is None:
														__lowerCamelCase					      =			['''{:.0f}%'''.format(s * 1_00						) for s in scores]
										else:
														__lowerCamelCase					      =			['''{} {:.0f}%'''.format(SCREAMING_SNAKE_CASE__							,    s * 1_00						) for li, s in zip(SCREAMING_SNAKE_CASE__							,    SCREAMING_SNAKE_CASE__						)]
						return labels






		def 				__A (	self	:							Any							,    SCREAMING_SNAKE_CASE__	:							List[Any]=2_55						)  ->							List[Any]:
						__lowerCamelCase					      =			np.random.randint(0							,    len(_COLORS						)						)
						__lowerCamelCase					      =			_COLORS[idx] * maximum
						if not self.rgb:
										__lowerCamelCase					      =			ret[::-1]
						return ret






		def 				__A (	self	:							Optional[int]						)  ->							Tuple:
						if not self.pynb:
										__lowerCamelCase      ,					__lowerCamelCase					      =			self.canvas.print_to_buffer()
										if (width, height) != (self.width, self.height):
														__lowerCamelCase					      =			cva.resize(self.img							,    (width, height)						)
										else:
														__lowerCamelCase					      =			self.img
						else:
										__lowerCamelCase					      =			io.BytesIO()  # works for cairo backend
										self.canvas.print_rgba(SCREAMING_SNAKE_CASE__						)
										__lowerCamelCase      ,					__lowerCamelCase					      =			self.width, self.height
										__lowerCamelCase					      =			buf.getvalue()
										__lowerCamelCase					      =			self.img

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

						try:
										import numexpr as ne  # fuse them with numexpr

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

						return visualized_image.astype('''uint8'''						)







		def 				__A (	self	:							Tuple							,    SCREAMING_SNAKE_CASE__	:							Tuple							,    SCREAMING_SNAKE_CASE__	:							List[str]						)  ->							Tuple:
						assert brightness_factor >= -1.0 and brightness_factor <= 1.0
						__lowerCamelCase					      =			mplc.to_rgb(SCREAMING_SNAKE_CASE__						)
						__lowerCamelCase					      =			colorsys.rgb_to_hls(*mplc.to_rgb(SCREAMING_SNAKE_CASE__						)						)
						__lowerCamelCase					      =			polygon_color[1] + (brightness_factor * polygon_color[1])
						__lowerCamelCase					      =			0.0 if modified_lightness < 0.0 else modified_lightness
						__lowerCamelCase					      =			1.0 if modified_lightness > 1.0 else modified_lightness
						__lowerCamelCase					      =			colorsys.hls_to_rgb(polygon_color[0]							,    SCREAMING_SNAKE_CASE__							,    polygon_color[2]						)
						return modified_color





SCREAMING_SNAKE_CASE__     :    Dict      							=					(
    np.array(
        [
            0.0_0_0,
            0.4_4_7,
            0.7_4_1,
            0.8_5_0,
            0.3_2_5,
            0.0_9_8,
            0.9_2_9,
            0.6_9_4,
            0.1_2_5,
            0.4_9_4,
            0.1_8_4,
            0.5_5_6,
            0.4_6_6,
            0.6_7_4,
            0.1_8_8,
            0.3_0_1,
            0.7_4_5,
            0.9_3_3,
            0.6_3_5,
            0.0_7_8,
            0.1_8_4,
            0.3_0_0,
            0.3_0_0,
            0.3_0_0,
            0.6_0_0,
            0.6_0_0,
            0.6_0_0,
            1.0_0_0,
            0.0_0_0,
            0.0_0_0,
            1.0_0_0,
            0.5_0_0,
            0.0_0_0,
            0.7_4_9,
            0.7_4_9,
            0.0_0_0,
            0.0_0_0,
            1.0_0_0,
            0.0_0_0,
            0.0_0_0,
            0.0_0_0,
            1.0_0_0,
            0.6_6_7,
            0.0_0_0,
            1.0_0_0,
            0.3_3_3,
            0.3_3_3,
            0.0_0_0,
            0.3_3_3,
            0.6_6_7,
            0.0_0_0,
            0.3_3_3,
            1.0_0_0,
            0.0_0_0,
            0.6_6_7,
            0.3_3_3,
            0.0_0_0,
            0.6_6_7,
            0.6_6_7,
            0.0_0_0,
            0.6_6_7,
            1.0_0_0,
            0.0_0_0,
            1.0_0_0,
            0.3_3_3,
            0.0_0_0,
            1.0_0_0,
            0.6_6_7,
            0.0_0_0,
            1.0_0_0,
            1.0_0_0,
            0.0_0_0,
            0.0_0_0,
            0.3_3_3,
            0.5_0_0,
            0.0_0_0,
            0.6_6_7,
            0.5_0_0,
            0.0_0_0,
            1.0_0_0,
            0.5_0_0,
            0.3_3_3,
            0.0_0_0,
            0.5_0_0,
            0.3_3_3,
            0.3_3_3,
            0.5_0_0,
            0.3_3_3,
            0.6_6_7,
            0.5_0_0,
            0.3_3_3,
            1.0_0_0,
            0.5_0_0,
            0.6_6_7,
            0.0_0_0,
            0.5_0_0,
            0.6_6_7,
            0.3_3_3,
            0.5_0_0,
            0.6_6_7,
            0.6_6_7,
            0.5_0_0,
            0.6_6_7,
            1.0_0_0,
            0.5_0_0,
            1.0_0_0,
            0.0_0_0,
            0.5_0_0,
            1.0_0_0,
            0.3_3_3,
            0.5_0_0,
            1.0_0_0,
            0.6_6_7,
            0.5_0_0,
            1.0_0_0,
            1.0_0_0,
            0.5_0_0,
            0.0_0_0,
            0.3_3_3,
            1.0_0_0,
            0.0_0_0,
            0.6_6_7,
            1.0_0_0,
            0.0_0_0,
            1.0_0_0,
            1.0_0_0,
            0.3_3_3,
            0.0_0_0,
            1.0_0_0,
            0.3_3_3,
            0.3_3_3,
            1.0_0_0,
            0.3_3_3,
            0.6_6_7,
            1.0_0_0,
            0.3_3_3,
            1.0_0_0,
            1.0_0_0,
            0.6_6_7,
            0.0_0_0,
            1.0_0_0,
            0.6_6_7,
            0.3_3_3,
            1.0_0_0,
            0.6_6_7,
            0.6_6_7,
            1.0_0_0,
            0.6_6_7,
            1.0_0_0,
            1.0_0_0,
            1.0_0_0,
            0.0_0_0,
            1.0_0_0,
            1.0_0_0,
            0.3_3_3,
            1.0_0_0,
            1.0_0_0,
            0.6_6_7,
            1.0_0_0,
            0.3_3_3,
            0.0_0_0,
            0.0_0_0,
            0.5_0_0,
            0.0_0_0,
            0.0_0_0,
            0.6_6_7,
            0.0_0_0,
            0.0_0_0,
            0.8_3_3,
            0.0_0_0,
            0.0_0_0,
            1.0_0_0,
            0.0_0_0,
            0.0_0_0,
            0.0_0_0,
            0.1_6_7,
            0.0_0_0,
            0.0_0_0,
            0.3_3_3,
            0.0_0_0,
            0.0_0_0,
            0.5_0_0,
            0.0_0_0,
            0.0_0_0,
            0.6_6_7,
            0.0_0_0,
            0.0_0_0,
            0.8_3_3,
            0.0_0_0,
            0.0_0_0,
            1.0_0_0,
            0.0_0_0,
            0.0_0_0,
            0.0_0_0,
            0.1_6_7,
            0.0_0_0,
            0.0_0_0,
            0.3_3_3,
            0.0_0_0,
            0.0_0_0,
            0.5_0_0,
            0.0_0_0,
            0.0_0_0,
            0.6_6_7,
            0.0_0_0,
            0.0_0_0,
            0.8_3_3,
            0.0_0_0,
            0.0_0_0,
            1.0_0_0,
            0.0_0_0,
            0.0_0_0,
            0.0_0_0,
            0.1_4_3,
            0.1_4_3,
            0.1_4_3,
            0.8_5_7,
            0.8_5_7,
            0.8_5_7,
            1.0_0_0,
            1.0_0_0,
            1.0_0_0,
        ]
    )
    .astype(np.floataa)
    .reshape(-1, 3)
)





import bsa
import requests




def 				__magic_name__				(     __lowerCAmelCase			:		bsa.element.ResultSet							)    ->     dict[str, str]:
				return {
				    "name": soup.ha.a.text,
				    "genre": soup.find('''span'''	,						class_='''genre'''							).text.strip(),
				    "rating": soup.strong.text,
				    "page_link": f'''https://www.imdb.com{soup.a.get('href'							)}''',
				}




def 				__magic_name__				(     __lowerCAmelCase			:		int = 5							)    ->     tuple:
				__lowerCamelCase					      =			int(float(__lowerCAmelCase							)							)
				if num_movies < 1:
								return ()
				__lowerCamelCase					      =			(
				    '''https://www.imdb.com/search/title?title_type='''
				    f'''feature&sort=num_votes,desc&count={num_movies}'''
				)
				__lowerCamelCase					      =			bsa.BeautifulSoup(requests.get(__lowerCAmelCase							).content	,						'''html.parser'''							)
				return tuple(
				    get_movie_data_from_soup(__lowerCAmelCase							)
				    for movie in source.find_all('''div'''	,						class_='''lister-item mode-advanced'''							)							)


if __name__ == "__main__":
					import json

					SCREAMING_SNAKE_CASE__     :    str      							=					int(input("How many movies would you like to see? "))
					print(
					    ", ".join(
					        json.dumps(movie, indent=4) for movie in get_imdb_top_movies(num_movies)
					    )
					)



