





'''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


lowercase_         =			1_000


class  a_					:

    '''simple docstring'''


    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			,		)		->       Union[str, Any]:
        if isinstance(A			,		torch.Tensor	):
            _SCREAMING_SNAKE_CASE     =      img.numpy().astype("""np.uint8"""	)
        if isinstance(A			,		A	):
            _SCREAMING_SNAKE_CASE     =      img_tensorize(A	)
        assert isinstance(A			,		np.ndarray	)

        _SCREAMING_SNAKE_CASE    ,	_SCREAMING_SNAKE_CASE     =      img.shape[1], img.shape[0]
        _SCREAMING_SNAKE_CASE     =      mplfigure.Figure(frameon=A	)
        _SCREAMING_SNAKE_CASE     =      fig.get_dpi()
        _SCREAMING_SNAKE_CASE     =      (width * scale + 1e-2) / dpi
        _SCREAMING_SNAKE_CASE     =      (height * scale + 1e-2) / dpi
        fig.set_size_inches(A			,		A	)
        _SCREAMING_SNAKE_CASE     =      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     =      saveas
        _SCREAMING_SNAKE_CASE     =      rgb
        _SCREAMING_SNAKE_CASE     =      pynb
        _SCREAMING_SNAKE_CASE     =      img
        _SCREAMING_SNAKE_CASE     =      edgecolor
        _SCREAMING_SNAKE_CASE     =      0.5
        _SCREAMING_SNAKE_CASE     =      linestyle
        _SCREAMING_SNAKE_CASE     =      int(np.sqrt(min(A			,		A	)	) * scale // 3	)
        _SCREAMING_SNAKE_CASE     =      width
        _SCREAMING_SNAKE_CASE     =      height
        _SCREAMING_SNAKE_CASE     =      scale
        _SCREAMING_SNAKE_CASE     =      fig
        _SCREAMING_SNAKE_CASE     =      ax
        _SCREAMING_SNAKE_CASE     =      pad
        _SCREAMING_SNAKE_CASE     =      idaobj
        _SCREAMING_SNAKE_CASE     =      idaattr
        _SCREAMING_SNAKE_CASE     =      FigureCanvasAgg(A	)


    def       snake_case_(		self			,		A			,		A=None	)		->       int:
        if color is None:
            _SCREAMING_SNAKE_CASE     =      self.edgecolor
        ((_SCREAMING_SNAKE_CASE)    ,	(_SCREAMING_SNAKE_CASE)    ,	(_SCREAMING_SNAKE_CASE)    ,	(_SCREAMING_SNAKE_CASE))     =      box
        _SCREAMING_SNAKE_CASE     =      xa - xa
        _SCREAMING_SNAKE_CASE     =      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       snake_case_(		self			,		A			,		A=None			,		A=None			,		A=None			,		A=None	)		->       Dict:
        if len(boxes.shape	) > 2:
            _SCREAMING_SNAKE_CASE     =      boxes[0]
        if len(obj_ids.shape	) > 1:
            _SCREAMING_SNAKE_CASE     =      obj_ids[0]
        if len(obj_scores.shape	) > 1:
            _SCREAMING_SNAKE_CASE     =      obj_scores[0]
        if len(attr_ids.shape	) > 1:
            _SCREAMING_SNAKE_CASE     =      attr_ids[0]
        if len(attr_scores.shape	) > 1:
            _SCREAMING_SNAKE_CASE     =      attr_scores[0]
        if isinstance(A			,		torch.Tensor	):
            _SCREAMING_SNAKE_CASE     =      boxes.numpy()
        if isinstance(A			,		A	):
            _SCREAMING_SNAKE_CASE     =      np.array(A	)
        assert isinstance(A			,		np.ndarray	)
        _SCREAMING_SNAKE_CASE     =      np.prod(boxes[:, 2:] - boxes[:, :2]			,		axis=1	)
        _SCREAMING_SNAKE_CASE     =      np.argsort(-areas	).tolist()
        _SCREAMING_SNAKE_CASE     =      boxes[sorted_idxs] if boxes is not None else None
        _SCREAMING_SNAKE_CASE     =      obj_ids[sorted_idxs] if obj_ids is not None else None
        _SCREAMING_SNAKE_CASE     =      obj_scores[sorted_idxs] if obj_scores is not None else None
        _SCREAMING_SNAKE_CASE     =      attr_ids[sorted_idxs] if attr_ids is not None else None
        _SCREAMING_SNAKE_CASE     =      attr_scores[sorted_idxs] if attr_scores is not None else None

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


    def       snake_case_(		self			,		A			,		A			,		A	)		->       Union[str, Any]:
        _SCREAMING_SNAKE_CASE    ,	_SCREAMING_SNAKE_CASE    ,	_SCREAMING_SNAKE_CASE    ,	_SCREAMING_SNAKE_CASE     =      box
        _SCREAMING_SNAKE_CASE     =      (xa, ya)
        _SCREAMING_SNAKE_CASE     =      (ya - ya) * (xa - xa)
        _SCREAMING_SNAKE_CASE     =      _SMALL_OBJ * self.scale
        if instance_area < small or ya - ya < 40 * self.scale:
            if ya >= self.height - 5:
                _SCREAMING_SNAKE_CASE     =      (xa, ya)
            else:
                _SCREAMING_SNAKE_CASE     =      (xa, ya)

        _SCREAMING_SNAKE_CASE     =      (ya - ya) / np.sqrt(self.height * self.width	)
        _SCREAMING_SNAKE_CASE     =      self._change_color_brightness(A			,		brightness_factor=0.7	)
        _SCREAMING_SNAKE_CASE     =      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       snake_case_(		self			,		A			,		A			,		A="g"			,		A="left"			,		)		->       Tuple:
        _SCREAMING_SNAKE_CASE     =      0
        _SCREAMING_SNAKE_CASE     =      self.font_size
        _SCREAMING_SNAKE_CASE     =      np.maximum(list(mplc.to_rgb(A	)	)			,		0.2	)
        _SCREAMING_SNAKE_CASE     =      max(0.8			,		np.max(A	)	)
        _SCREAMING_SNAKE_CASE     =      {
            """facecolor""": """black""",
            """alpha""": self.alpha,
            """pad""": self.pad,
            """edgecolor""": """none""",
        }
        _SCREAMING_SNAKE_CASE    ,	_SCREAMING_SNAKE_CASE     =      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       snake_case_(		self			,		A=None	)		->       int:
        if saveas is None:
            _SCREAMING_SNAKE_CASE     =      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       snake_case_(		self			,		A			,		A			,		A			,		A	)		->       List[str]:
        _SCREAMING_SNAKE_CASE     =      [self.idaobj[i] for i in classes]
        _SCREAMING_SNAKE_CASE     =      [self.idaattr[i] for i in attr_classes]
        _SCREAMING_SNAKE_CASE     =      [
            f'{label} {score:.2f} {attr} {attr_score:.2f}'
            for label, score, attr, attr_score in zip(A			,		A			,		A			,		A	)
        ]
        return labels


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


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


    def       snake_case_(		self	)		->       Optional[Any]:
        if not self.pynb:
            _SCREAMING_SNAKE_CASE    ,	_SCREAMING_SNAKE_CASE     =      self.canvas.print_to_buffer()
            if (width, height) != (self.width, self.height):
                _SCREAMING_SNAKE_CASE     =      cva.resize(self.img			,		(width, height)	)
            else:
                _SCREAMING_SNAKE_CASE     =      self.img
        else:
            _SCREAMING_SNAKE_CASE     =      io.BytesIO()  # works for cairo backend
            self.canvas.print_rgba(A	)
            _SCREAMING_SNAKE_CASE    ,	_SCREAMING_SNAKE_CASE     =      self.width, self.height
            _SCREAMING_SNAKE_CASE     =      buf.getvalue()
            _SCREAMING_SNAKE_CASE     =      self.img

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

        try:
            import numexpr as ne  # fuse them with numexpr

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

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





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




lowercase_         =			(
    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'''

def lowerCamelCase						(					__lowerCamelCase			:   int   )						->int:
    barcode //= 10  # exclude the last digit
    _SCREAMING_SNAKE_CASE     =      False
    _SCREAMING_SNAKE_CASE     =      0

    # extract and check each digit
    while barcode != 0:
        _SCREAMING_SNAKE_CASE     =      1 if checker else 3
        s += mult * (barcode % 10)
        barcode //= 10
        _SCREAMING_SNAKE_CASE     =      not checker

    return (10 - (s % 10)) % 10





def lowerCamelCase						(					__lowerCamelCase			:   int   )						->bool:
    return len(str(__lowerCamelCase   )   ) == 13 and get_check_digit(__lowerCamelCase   ) == barcode % 10





def lowerCamelCase						(					__lowerCamelCase			:   str   )						->int:
    if str(__lowerCamelCase   ).isalpha():
        _SCREAMING_SNAKE_CASE     =      F'Barcode \'{barcode}\' has alphabetic characters.'
        raise ValueError(__lowerCamelCase   )
    elif int(__lowerCamelCase   ) < 0:
        raise ValueError("""The entered barcode has a negative value. Try again."""   )
    else:
        return int(__lowerCamelCase   )


if __name__ == "__main__":
      import doctest

      doctest.testmod()
      lowercase_         =			get_barcode(input("""Barcode: """).strip())

      if is_valid(barcode):
            print(f"""'{barcode}' is a valid barcode.""")
      else:
            print(f"""'{barcode}' is NOT a valid barcode.""")



