



'''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  :     int       =       1_0_0_0

class      UpperCamelCase_					:





	def __init__(    self						,						A						,						A=1.2						,						A="g"						,						A=0.5						,						A="-"						,						A="test_out.jpg"						,						A=True						,						A=False						,						A=None						,						A=None						,						A=0.7						,						)     ->     Any:
								if isinstance(A						,						torch.Tensor       ):
															UpperCAmelCase	:						Tuple					=						img.numpy().astype("""np.uint8"""       )
								if isinstance(A						,						A       ):
															UpperCAmelCase	:						Tuple					=						img_tensorize(A       )
								assert isinstance(A						,						np.ndarray       )

								UpperCAmelCase	,	UpperCAmelCase	:						Dict					=						img.shape[1], img.shape[0]
								UpperCAmelCase	:						Dict					=						mplfigure.Figure(frameon=A       )
								UpperCAmelCase	:						str					=						fig.get_dpi()
								UpperCAmelCase	:						str					=						(width * scale + 1e-2) / dpi
								UpperCAmelCase	:						Union[str, Any]					=						(height * scale + 1e-2) / dpi
								fig.set_size_inches(A						,						A       )
								UpperCAmelCase	:						List[Any]					=						fig.add_axes([0.0, 0.0, 1.0, 1.0]       )
								ax.axis("""off"""       )
								ax.set_xlim(0.0						,						A       )
								ax.set_ylim(A       )

								UpperCAmelCase	:						List[Any]					=						saveas
								UpperCAmelCase	:						Optional[Any]					=						rgb
								UpperCAmelCase	:						Dict					=						pynb
								UpperCAmelCase	:						Tuple					=						img
								UpperCAmelCase	:						str					=						edgecolor
								UpperCAmelCase	:						int					=						0.5
								UpperCAmelCase	:						Dict					=						linestyle
								UpperCAmelCase	:						Optional[int]					=						int(np.sqrt(min(A						,						A       )       ) * scale // 3       )
								UpperCAmelCase	:						Optional[Any]					=						width
								UpperCAmelCase	:						List[Any]					=						height
								UpperCAmelCase	:						List[str]					=						scale
								UpperCAmelCase	:						Optional[int]					=						fig
								UpperCAmelCase	:						List[str]					=						ax
								UpperCAmelCase	:						List[str]					=						pad
								UpperCAmelCase	:						Any					=						idaobj
								UpperCAmelCase	:						List[Any]					=						idaattr
								UpperCAmelCase	:						Tuple					=						FigureCanvasAgg(A       )





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





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

								UpperCAmelCase	:						Union[str, Any]					=						[self._random_color(maximum=1       ) for _ in range(len(A       )       )]
								UpperCAmelCase	:						int					=						[assigned_colors[idx] for idx in sorted_idxs]
								if obj_ids is not None:
															UpperCAmelCase	:						Tuple					=						self._create_text_labels_attr(A						,						A						,						A						,						A       )
															for i in range(len(A       )       ):
																						UpperCAmelCase	:						str					=						assigned_colors[i]
																						self.add_box(boxes[i]						,						A       )
																						self.draw_labels(labels[i]						,						boxes[i]						,						A       )





	def 					_lowercase(    self						,						A						,						A						,						A       )     ->     Dict:
								UpperCAmelCase	,	UpperCAmelCase	,	UpperCAmelCase	,	UpperCAmelCase	:						List[str]					=						box
								UpperCAmelCase	:						Tuple					=						(xa, ya)
								UpperCAmelCase	:						Union[str, Any]					=						(ya - ya) * (xa - xa)
								UpperCAmelCase	:						Optional[Any]					=						_SMALL_OBJ * self.scale
								if instance_area < small or ya - ya < 40 * self.scale:
															if ya >= self.height - 5:
																						UpperCAmelCase	:						str					=						(xa, ya)
															else:
																						UpperCAmelCase	:						Optional[Any]					=						(xa, ya)

								UpperCAmelCase	:						int					=						(ya - ya) / np.sqrt(self.height * self.width       )
								UpperCAmelCase	:						str					=						self._change_color_brightness(A						,						brightness_factor=0.7       )
								UpperCAmelCase	:						str					=						np.clip((height_ratio - 0.0_2) / 0.0_8 + 1						,						1.2						,						2       )
								font_size *= 0.7_5 * self.font_size

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





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





	def 					_lowercase(    self						,						A=None       )     ->     Tuple:
								if saveas is None:
															UpperCAmelCase	:						Optional[int]					=						self.saveas
								if saveas.lower().endswith(""".jpg"""       ) or saveas.lower().endswith(""".png"""       ):
															cva.imwrite(
															    A						,						self._get_buffer()[:, :, ::-1]						,						)
								else:
															self.fig.savefig(A       )





	def 					_lowercase(    self						,						A						,						A						,						A						,						A       )     ->     Any:
								UpperCAmelCase	:						List[Any]					=						[self.idaobj[i] for i in classes]
								UpperCAmelCase	:						int					=						[self.idaattr[i] for i in attr_classes]
								UpperCAmelCase	:						List[str]					=						[
								    f'''{label} {score:.2f} {attr} {attr_score:.2f}'''
								    for label, score, attr, attr_score in zip(A						,						A						,						A						,						A       )
								]
								return labels





	def 					_lowercase(    self						,						A						,						A       )     ->     Optional[int]:
								UpperCAmelCase	:						Any					=						[self.idaobj[i] for i in classes]
								if scores is not None:
															if labels is None:
																						UpperCAmelCase	:						Dict					=						["""{:.0f}%""".format(s * 100       ) for s in scores]
															else:
																						UpperCAmelCase	:						int					=						["""{} {:.0f}%""".format(A						,						s * 100       ) for li, s in zip(A						,						A       )]
								return labels





	def 					_lowercase(    self						,						A=255       )     ->     Optional[int]:
								UpperCAmelCase	:						Any					=						np.random.randint(0						,						len(_COLORS       )       )
								UpperCAmelCase	:						Union[str, Any]					=						_COLORS[idx] * maximum
								if not self.rgb:
															UpperCAmelCase	:						Any					=						ret[::-1]
								return ret





	def 					_lowercase(    self       )     ->     Tuple:
								if not self.pynb:
															UpperCAmelCase	,	UpperCAmelCase	:						Dict					=						self.canvas.print_to_buffer()
															if (width, height) != (self.width, self.height):
																						UpperCAmelCase	:						Tuple					=						cva.resize(self.img						,						(width, height)       )
															else:
																						UpperCAmelCase	:						Dict					=						self.img
								else:
															UpperCAmelCase	:						str					=						io.BytesIO()  # works for cairo backend
															self.canvas.print_rgba(A       )
															UpperCAmelCase	,	UpperCAmelCase	:						Union[str, Any]					=						self.width, self.height
															UpperCAmelCase	:						List[Any]					=						buf.getvalue()
															UpperCAmelCase	:						Tuple					=						self.img

								UpperCAmelCase	:						int					=						np.frombuffer(A						,						dtype="""uint8"""       )
								UpperCAmelCase	:						Tuple					=						buffer.reshape(A						,						A						,						4       )
								UpperCAmelCase	,	UpperCAmelCase	:						Dict					=						np.split(A						,						[3]						,						axis=2       )

								try:
															import numexpr as ne  # fuse them with numexpr

															UpperCAmelCase	:						Dict					=						ne.evaluate("""img * (1 - alpha / 255.0) + rgb * (alpha / 255.0)"""       )
								except ImportError:
															UpperCAmelCase	:						Optional[Any]					=						alpha.astype("""float32"""       ) / 2_5_5.0
															UpperCAmelCase	:						List[str]					=						img * (1 - alpha) + rgb * alpha

								return visualized_image.astype("""uint8"""       )






	def 					_lowercase(    self						,						A						,						A       )     ->     List[str]:
								assert brightness_factor >= -1.0 and brightness_factor <= 1.0
								UpperCAmelCase	:						Union[str, Any]					=						mplc.to_rgb(A       )
								UpperCAmelCase	:						Tuple					=						colorsys.rgb_to_hls(*mplc.to_rgb(A       )       )
								UpperCAmelCase	:						Optional[int]					=						polygon_color[1] + (brightness_factor * polygon_color[1])
								UpperCAmelCase	:						Tuple					=						0.0 if modified_lightness < 0.0 else modified_lightness
								UpperCAmelCase	:						Tuple					=						1.0 if modified_lightness > 1.0 else modified_lightness
								UpperCAmelCase	:						Dict					=						colorsys.hls_to_rgb(polygon_color[0]						,						A						,						polygon_color[2]       )
								return modified_color




a  :     Optional[Any]       =       (
    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)
)






'''simple docstring'''




class      UpperCamelCase_					:





	def __init__(    self       )     ->     None:
								UpperCAmelCase	:						int					=						[0, 1]






	def 					_lowercase(    self						,						A       )     ->     list:
								if (difference := index - (len(self.sequence       ) - 2)) >= 1:
															for _ in range(A       ):
																						self.sequence.append(self.sequence[-1] + self.sequence[-2]       )
								return self.sequence[:index]




def  __lowerCamelCase    (   ) ->     None:
							print(
							    """Fibonacci Series Using Dynamic Programming\n"""      ,							"""Enter the index of the Fibonacci number you want to calculate """      ,							"""in the prompt below. (To exit enter exit or Ctrl-C)\n"""      ,							sep=""""""      ,							)
							UpperCAmelCase	:						Tuple					=						Fibonacci()

							while True:
														UpperCAmelCase	:						str					=						input(""">> """						)
														if prompt in {"exit", "quit"}:
																					break

														try:
																					UpperCAmelCase	:						int					=						int(_lowercase						)
														except ValueError:
																					print("""Enter a number or 'exit'"""						)
																					continue

														print(fibonacci.get(_lowercase						)						)


if __name__ == "__main__":
							main()

