





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


__lowercase							:Optional[int]							=	1_000



class  _a  :






							"""simple docstring"""

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

													SCREAMING_SNAKE_CASE__,				SCREAMING_SNAKE_CASE__  :					int =       img.shape[1], img.shape[0]
													SCREAMING_SNAKE_CASE__  :					List[str] =       mplfigure.Figure(frameon=a     )
													SCREAMING_SNAKE_CASE__  :					str =       fig.get_dpi()
													SCREAMING_SNAKE_CASE__  :					Optional[Any] =       (width * scale + 1E-2) / dpi
													SCREAMING_SNAKE_CASE__  :					Any =       (height * scale + 1E-2) / dpi
													fig.set_size_inches(a				,						a     )
													SCREAMING_SNAKE_CASE__  :					Optional[int] =       fig.add_axes([0.0, 0.0, 1.0, 1.0]     )
													ax.axis("off"     )
													ax.set_xlim(0.0				,						a     )
													ax.set_ylim(a     )

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

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

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

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

													SCREAMING_SNAKE_CASE__  :					Tuple =       (ya - ya) / np.sqrt(self.height * self.width     )
													SCREAMING_SNAKE_CASE__  :					Optional[int] =       self._change_color_brightness(a				,						brightness_factor=0.7     )
													SCREAMING_SNAKE_CASE__  :					Union[str, Any] =       np.clip((height_ratio - 0.02) / 0.08 + 1				,						1.2				,						2     )
													font_size *= 0.75 * self.font_size

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

							def   A_	(   self					:  Dict				,						a					:  Any				,						a					:  Tuple				,						a					:  Dict="g"				,						a					:  List[str]="left"				,						)						->Union[str, Any]:
													SCREAMING_SNAKE_CASE__  :					Union[str, Any] =       0
													SCREAMING_SNAKE_CASE__  :					int =       self.font_size
													SCREAMING_SNAKE_CASE__  :					Optional[int] =       np.maximum(list(mplc.to_rgb(a     )     )				,						0.2     )
													SCREAMING_SNAKE_CASE__  :					str =       max(0.8				,						np.max(a     )     )
													SCREAMING_SNAKE_CASE__  :					Optional[int] =       {
													    "facecolor": "black",
													    "alpha": self.alpha,
													    "pad": self.pad,
													    "edgecolor": "none",
													}
													SCREAMING_SNAKE_CASE__,				SCREAMING_SNAKE_CASE__  :					Union[str, Any] =       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   A_	(   self					:  List[Any]				,						a					:  Dict=None     )						->Any:
													if saveas is None:
																			SCREAMING_SNAKE_CASE__  :					Union[str, Any] =       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   A_	(   self					:  List[Any]				,						a					:  Union[str, Any]				,						a					:  List[Any]				,						a					:  List[str]				,						a					:  Optional[Any]     )						->Dict:
													SCREAMING_SNAKE_CASE__  :					Union[str, Any] =       [self.idaobj[i] for i in classes]
													SCREAMING_SNAKE_CASE__  :					Tuple =       [self.idaattr[i] for i in attr_classes]
													SCREAMING_SNAKE_CASE__  :					str =       [
													    f"""{label} {score:.2f} {attr} {attr_score:.2f}"""
													    for label, score, attr, attr_score in zip(a				,						a				,						a				,						a     )
													]
													return labels

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

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

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

													SCREAMING_SNAKE_CASE__  :					Tuple =       np.frombuffer(a				,						dtype="uint8"     )
													SCREAMING_SNAKE_CASE__  :					Union[str, Any] =       buffer.reshape(a				,						a				,						4     )
													SCREAMING_SNAKE_CASE__,				SCREAMING_SNAKE_CASE__  :					List[str] =       np.split(a				,						[3]				,						axis=2     )

													try:
																			import numexpr as ne  # fuse them with numexpr

																			SCREAMING_SNAKE_CASE__  :					Tuple =       ne.evaluate("img * (1 - alpha / 255.0) + rgb * (alpha / 255.0)"     )
													except ImportError:
																			SCREAMING_SNAKE_CASE__  :					Optional[Any] =       alpha.astype("float32"     ) / 255.0
																			SCREAMING_SNAKE_CASE__  :					int =       img * (1 - alpha) + rgb * alpha

													return visualized_image.astype("uint8"     )






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







__lowercase							: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)
)






from __future__ import annotations

from collections.abc import Iterable
from dataclasses import dataclass
from typing import Any



class  _a  :






							"""simple docstring"""

							snake_case_							=    ("_front", "_back", "_len")



							@dataclass
							class  _a  :






														"""simple docstring"""

														snake_case_							=    None
														snake_case_							=    None
														snake_case_							=    None







							class  _a  :






														"""simple docstring"""

														snake_case_							=    ("_cur",)

														def __init__(   self					:  Tuple				,						a					:  Deque._Node | None     )						->None:
																				SCREAMING_SNAKE_CASE__  :					Union[str, Any] =       cur

														def __iter__(   self					:  Dict     )						->Deque._Iterator:
																				return self






														def   A_	(   self					:  int     )						->Any:
																				if self._cur is None:
																										# finished iterating
																										raise StopIteration
																				SCREAMING_SNAKE_CASE__  :					Tuple =       self._cur.val
																				SCREAMING_SNAKE_CASE__  :					int =       self._cur.next_node

																				return val







							def __init__(   self					:  str				,						a					:  Iterable[Any] | None = None     )						->None:
													SCREAMING_SNAKE_CASE__  :					Any =       None
													SCREAMING_SNAKE_CASE__  :					Any =       None
													SCREAMING_SNAKE_CASE__  :					int =       0

													if iterable is not None:
																			# append every value to the deque
																			for val in iterable:
																									self.append(a     )

							def   A_	(   self					:  Tuple				,						a					:  Any     )						->None:
													SCREAMING_SNAKE_CASE__  :					Optional[Any] =       self._Node(a				,						a				,						a     )
													if self.is_empty():
																			# front = back
																			SCREAMING_SNAKE_CASE__  :					int =       node
																			SCREAMING_SNAKE_CASE__  :					Dict =       1
													else:
																			# connect nodes
																			SCREAMING_SNAKE_CASE__  :					Optional[int] =       node
																			SCREAMING_SNAKE_CASE__  :					Any =       self._back
																			SCREAMING_SNAKE_CASE__  :					Tuple =       node  # assign new back to the new node

																			self._len += 1

																			# make sure there were no errors
																			assert not self.is_empty(), "Error on appending value."

							def   A_	(   self					:  List[str]				,						a					:  Any     )						->None:
													SCREAMING_SNAKE_CASE__  :					List[Any] =       self._Node(a				,						a				,						a     )
													if self.is_empty():
																			# front = back
																			SCREAMING_SNAKE_CASE__  :					str =       node
																			SCREAMING_SNAKE_CASE__  :					Dict =       1
													else:
																			# connect nodes
																			SCREAMING_SNAKE_CASE__  :					Any =       self._front
																			SCREAMING_SNAKE_CASE__  :					Tuple =       node
																			SCREAMING_SNAKE_CASE__  :					int =       node  # assign new front to the new node

																			self._len += 1

																			# make sure there were no errors
																			assert not self.is_empty(), "Error on appending value."

							def   A_	(   self					:  Dict				,						a					:  Iterable[Any]     )						->None:
													for val in iterable:
																			self.append(a     )

							def   A_	(   self					:  Tuple				,						a					:  Iterable[Any]     )						->None:
													for val in iterable:
																			self.appendleft(a     )

							def   A_	(   self					:  Any     )						->Any:
													assert not self.is_empty(), "Deque is empty."

													SCREAMING_SNAKE_CASE__  :					List[Any] =       self._back
													SCREAMING_SNAKE_CASE__  :					Optional[int] =       self._back.prev_node  # set new back
													# drop the last node - python will deallocate memory automatically
													SCREAMING_SNAKE_CASE__  :					Union[str, Any] =       None

													self._len -= 1

													return topop.val

							def   A_	(   self					:  Any     )						->Any:
													assert not self.is_empty(), "Deque is empty."

													SCREAMING_SNAKE_CASE__  :					Any =       self._front
													SCREAMING_SNAKE_CASE__  :					Dict =       self._front.next_node  # set new front and drop the first node
													SCREAMING_SNAKE_CASE__  :					Dict =       None

													self._len -= 1

													return topop.val

							def   A_	(   self					:  str     )						->bool:
													return self._front is None

							def __len__(   self					:  List[str]     )						->int:
													return self._len

							def __eq__(   self					:  List[Any]				,						a					:  object     )						->bool:

													if not isinstance(a				,						a     ):
																			return NotImplemented

													SCREAMING_SNAKE_CASE__  :					List[Any] =       self._front
													SCREAMING_SNAKE_CASE__  :					Union[str, Any] =       other._front

													# if the length of the dequeues are not the same, they are not equal
													if len(self     ) != len(a     ):
																			return False

													while me is not None and oth is not None:
																			# compare every value
																			if me.val != oth.val:
																									return False
																			SCREAMING_SNAKE_CASE__  :					Any =       me.next_node
																			SCREAMING_SNAKE_CASE__  :					Any =       oth.next_node

													return True

							def __iter__(   self					:  Any     )						->Deque._Iterator:
													return Deque._Iterator(self._front     )






							def __repr__(   self					:  Any     )						->str:
													SCREAMING_SNAKE_CASE__  :					Union[str, Any] =       []
													SCREAMING_SNAKE_CASE__  :					int =       self._front
													while aux is not None:
																			# append the values in a list to display
																			values_list.append(aux.val     )
																			SCREAMING_SNAKE_CASE__  :					Union[str, Any] =       aux.next_node

													return f"""[{', '.join(repr(a     ) for val in values_list     )}]"""


if __name__ == "__main__":
				import doctest

				doctest.testmod()