


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


__UpperCamelCase  						=    1_0_0_0







class     lowerCamelCase__		:






			"""simple docstring"""






			def __init__(							self ,  snake_case ,  snake_case=1.2 ,  snake_case="g" ,  snake_case=0.5 ,  snake_case="-" ,  snake_case="test_out.jpg" ,  snake_case=True ,  snake_case=False ,  snake_case=None ,  snake_case=None ,  snake_case=0.7 ,  ):

						'''simple docstring'''


						if isinstance(snake_case ,  torch.Tensor       ):
									UpperCamelCase__   =    img.numpy().astype("np.uint8"       )
						if isinstance(snake_case ,  snake_case       ):
									UpperCamelCase__   =    img_tensorize(snake_case       )
						assert isinstance(snake_case ,  np.ndarray       )

						UpperCamelCase__, UpperCamelCase__   =    img.shape[1], img.shape[0]
						UpperCamelCase__   =    mplfigure.Figure(frameon=snake_case       )
						UpperCamelCase__   =    fig.get_dpi()
						UpperCamelCase__   =    (width * scale + 1E-2) / dpi
						UpperCamelCase__   =    (height * scale + 1E-2) / dpi
						fig.set_size_inches(snake_case ,  snake_case       )
						UpperCamelCase__   =    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       )

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




			def 			snake_case__			(							self ,  snake_case ,  snake_case=None       ):

						'''simple docstring'''


						if color is None:
									UpperCamelCase__   =    self.edgecolor
						((UpperCamelCase__), (UpperCamelCase__), (UpperCamelCase__), (UpperCamelCase__))   =    box
						UpperCamelCase__   =    xa - xa
						UpperCamelCase__   =    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 			snake_case__			(							self ,  snake_case ,  snake_case=None ,  snake_case=None ,  snake_case=None ,  snake_case=None       ):

						'''simple docstring'''


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

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




			def 			snake_case__			(							self ,  snake_case ,  snake_case ,  snake_case       ):

						'''simple docstring'''


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

						UpperCamelCase__   =    (ya - ya) / np.sqrt(self.height * self.width       )
						UpperCamelCase__   =    self._change_color_brightness(snake_case ,  brightness_factor=0.7       )
						UpperCamelCase__   =    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 			snake_case__			(							self ,  snake_case ,  snake_case ,  snake_case="g" ,  snake_case="left" ,  ):

						'''simple docstring'''


						UpperCamelCase__   =    0
						UpperCamelCase__   =    self.font_size
						UpperCamelCase__   =    np.maximum(list(mplc.to_rgb(snake_case       )       ) ,  0.2       )
						UpperCamelCase__   =    max(0.8 ,  np.max(snake_case       )       )
						UpperCamelCase__   =    {
						    "facecolor": "black",
						    "alpha": self.alpha,
						    "pad": self.pad,
						    "edgecolor": "none",
						}
						UpperCamelCase__, UpperCamelCase__   =    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 			snake_case__			(							self ,  snake_case=None       ):

						'''simple docstring'''


						if saveas is None:
									UpperCamelCase__   =    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 			snake_case__			(							self ,  snake_case ,  snake_case ,  snake_case ,  snake_case       ):

						'''simple docstring'''


						UpperCamelCase__   =    [self.idaobj[i] for i in classes]
						UpperCamelCase__   =    [self.idaattr[i] for i in attr_classes]
						UpperCamelCase__   =    [
						    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 			snake_case__			(							self ,  snake_case ,  snake_case       ):

						'''simple docstring'''


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




			def 			snake_case__			(							self ,  snake_case=255       ):

						'''simple docstring'''


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




			def 			snake_case__			(							self       ):

						'''simple docstring'''


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

						UpperCamelCase__   =    np.frombuffer(snake_case ,  dtype="uint8"       )
						UpperCamelCase__   =    buffer.reshape(snake_case ,  snake_case ,  4       )
						UpperCamelCase__, UpperCamelCase__   =    np.split(snake_case ,  [3] ,  axis=2       )

						try:
									import numexpr as ne  # fuse them with numexpr

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

						return visualized_image.astype("uint8"       )







			def 			snake_case__			(							self ,  snake_case ,  snake_case       ):

						'''simple docstring'''


						assert brightness_factor >= -1.0 and brightness_factor <= 1.0
						UpperCamelCase__   =    mplc.to_rgb(snake_case       )
						UpperCamelCase__   =    colorsys.rgb_to_hls(*mplc.to_rgb(snake_case       )       )
						UpperCamelCase__   =    polygon_color[1] + (brightness_factor * polygon_color[1])
						UpperCamelCase__   =    0.0 if modified_lightness < 0.0 else modified_lightness
						UpperCamelCase__   =    1.0 if modified_lightness > 1.0 else modified_lightness
						UpperCamelCase__   =    colorsys.hls_to_rgb(polygon_color[0] ,  snake_case ,  polygon_color[2]       )
						return modified_color



__UpperCamelCase  						=    (
    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)
)






import numpy as np
def     UpperCamelCase_(			_A				:Optional[int]			,       _A				:Dict="utf-8"			,       _A				:Optional[Any]="surrogatepass"					)->						int:
			UpperCamelCase__   =    bin(int.from_bytes(text.encode(_A			,       _A					)			,       "big"					)					)[2:]
			return bits.zfill(8 * ((len(_A					) + 7) // 8)					)
def     UpperCamelCase_(			_A				:Optional[int]			,       _A				:int="utf-8"			,       _A				:List[str]="surrogatepass"					)->						Optional[Any]:
			UpperCamelCase__   =    int(_A			,       2					)
			return n.to_bytes((n.bit_length() + 7) // 8			,       "big"					).decode(_A			,       _A					) or "\0"
def     UpperCamelCase_(			_A				:Union[str, Any]			,       _A				:Tuple					)->						Optional[int]:
			if size_par + len(_A					) <= 2**size_par - (len(_A					) - 1):
						raise ValueError("size of parity don't match with size of data"					)

			UpperCamelCase__   =    []
			UpperCamelCase__   =    []
			UpperCamelCase__   =    [bin(_A					)[2:] for x in range(1			,       size_par + len(_A					) + 1					)]

			# sorted information data for the size of the output data
			UpperCamelCase__   =    []
			# data position template + parity
			UpperCamelCase__   =    []
			# parity bit counter
			UpperCamelCase__   =    0
			# counter position of data bits
			UpperCamelCase__   =    0

			for x in range(1			,       size_par + len(_A					) + 1					):
						# Performs a template of bit positions - who should be given,
						# and who should be parity
						if qtd_bp < size_par:
									if (np.log(_A					) / np.log(2					)).is_integer():
												data_out_gab.append("P"					)
												UpperCamelCase__   =    qtd_bp + 1
									else:
												data_out_gab.append("D"					)
						else:
									data_out_gab.append("D"					)

						# Sorts the data to the new output size
						if data_out_gab[-1] == "D":
									data_ord.append(data[cont_data]					)
									cont_data += 1
						else:
									data_ord.append(_A					)

    # Calculates parity
			UpperCamelCase__   =    0  # parity bit counter
			for bp in range(1			,       size_par + 1					):
						# Bit counter one for a given parity
						UpperCamelCase__   =    0
						# counter to control the loop reading
						UpperCamelCase__   =    0
						for x in data_ord:
									if x is not None:
												try:
															UpperCamelCase__   =    (bin_pos[cont_loop])[-1 * (bp)]
												except IndexError:
															UpperCamelCase__   =    "0"
												if aux == "1" and x == "1":
															cont_bo += 1
									cont_loop += 1
						parity.append(cont_bo % 2					)

						qtd_bp += 1

			# Mount the message
			UpperCamelCase__   =    0  # parity bit counter
			for x in range(0			,       size_par + len(_A					)					):
						if data_ord[x] is None:
									data_out.append(str(parity[cont_bp]					)					)
									cont_bp += 1
						else:
									data_out.append(data_ord[x]					)

			return data_out
def     UpperCamelCase_(			_A				:int			,       _A				:str					)->						Dict:
			UpperCamelCase__   =    []
			# Parity bit counter
			UpperCamelCase__   =    0
			# Counter p data bit reading
			UpperCamelCase__   =    0
			# list of parity received
			UpperCamelCase__   =    []
			UpperCamelCase__   =    []

			for x in range(1			,       len(_A					) + 1					):
						# Performs a template of bit positions - who should be given,
						#  and who should be parity
						if qtd_bp < size_par and (np.log(_A					) / np.log(2					)).is_integer():
									data_out_gab.append("P"					)
									UpperCamelCase__   =    qtd_bp + 1
						else:
									data_out_gab.append("D"					)

						# Sorts the data to the new output size
						if data_out_gab[-1] == "D":
									data_output.append(data[cont_data]					)
						else:
									parity_received.append(data[cont_data]					)
						cont_data += 1

			# -----------calculates the parity with the data
			UpperCamelCase__   =    []
			UpperCamelCase__   =    []
			UpperCamelCase__   =    [bin(_A					)[2:] for x in range(1			,       size_par + len(_A					) + 1					)]

			#  sorted information data for the size of the output data
			UpperCamelCase__   =    []
			# Data position feedback + parity
			UpperCamelCase__   =    []
			# Parity bit counter
			UpperCamelCase__   =    0
			# Counter p data bit reading
			UpperCamelCase__   =    0

			for x in range(1			,       size_par + len(_A					) + 1					):
						# Performs a template position of bits - who should be given,
						# and who should be parity
						if qtd_bp < size_par and (np.log(_A					) / np.log(2					)).is_integer():
									data_out_gab.append("P"					)
									UpperCamelCase__   =    qtd_bp + 1
						else:
									data_out_gab.append("D"					)

						# Sorts the data to the new output size
						if data_out_gab[-1] == "D":
									data_ord.append(data_output[cont_data]					)
									cont_data += 1
						else:
									data_ord.append(_A					)

    # Calculates parity
			UpperCamelCase__   =    0  # parity bit counter
			for bp in range(1			,       size_par + 1					):
						# Bit counter one for a certain parity
						UpperCamelCase__   =    0
						# Counter to control loop reading
						UpperCamelCase__   =    0
						for x in data_ord:
									if x is not None:
												try:
															UpperCamelCase__   =    (bin_pos[cont_loop])[-1 * (bp)]
												except IndexError:
															UpperCamelCase__   =    "0"
												if aux == "1" and x == "1":
															cont_bo += 1
									cont_loop += 1
						parity.append(str(cont_bo % 2					)					)

						qtd_bp += 1

			# Mount the message
			UpperCamelCase__   =    0  # Parity bit counter
			for x in range(0			,       size_par + len(_A					)					):
						if data_ord[x] is None:
									data_out.append(str(parity[cont_bp]					)					)
									cont_bp += 1
						else:
									data_out.append(data_ord[x]					)

			UpperCamelCase__   =    parity_received == parity
			return data_output, ack


