





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   :							List[str]     =	1_0_0_0







class 						_lowerCAmelCase:

  """simple docstring"""







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

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

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

  def 		SCREAMING_SNAKE_CASE__	( self  ,    UpperCAmelCase  ,    UpperCAmelCase=None     )-> Tuple:
     if color is None:
        __A				 =       self.edgecolor
     ((__A) ,						(__A) ,						(__A) ,						(__A))				 =       box
     __A				 =       xa - xa
     __A				 =       ya - ya
     self.ax.add_patch(
         mpl.patches.Rectangle(
             (xa, ya)  ,    UpperCAmelCase  ,    UpperCAmelCase  ,    fill=UpperCAmelCase  ,    edgecolor=UpperCAmelCase  ,    linewidth=self.font_size // 3  ,    alpha=self.alpha  ,    linestyle=self.linestyle  ,    )     )

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

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

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

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

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

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

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

  def 		SCREAMING_SNAKE_CASE__	( self  ,    UpperCAmelCase  ,    UpperCAmelCase  ,    UpperCAmelCase  ,    UpperCAmelCase     )-> int:
     __A				 =       [self.idaobj[i] for i in classes]
     __A				 =       [self.idaattr[i] for i in attr_classes]
     __A				 =       [
         f"{label} {score:.2f} {attr} {attr_score:.2f}"
         for label, score, attr, attr_score in zip(UpperCAmelCase  ,    UpperCAmelCase  ,    UpperCAmelCase  ,    UpperCAmelCase     )
     ]
     return labels

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

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

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

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

     try:
        import numexpr as ne  # fuse them with numexpr

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

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





  def 		SCREAMING_SNAKE_CASE__	( self  ,    UpperCAmelCase  ,    UpperCAmelCase     )-> List[Any]:
     assert brightness_factor >= -1.0 and brightness_factor <= 1.0
     __A				 =       mplc.to_rgb(UpperCAmelCase     )
     __A				 =       colorsys.rgb_to_hls(*mplc.to_rgb(UpperCAmelCase     )     )
     __A				 =       polygon_color[1] + (brightness_factor * polygon_color[1])
     __A				 =       0.0 if modified_lightness < 0.0 else modified_lightness
     __A				 =       1.0 if modified_lightness > 1.0 else modified_lightness
     __A				 =       colorsys.hls_to_rgb(polygon_color[0]  ,    UpperCAmelCase  ,    polygon_color[2]     )
     return modified_color
_UpperCamelCase   :							int     =	(
    np.array(
        [
            0.0_00,
            0.4_47,
            0.7_41,
            0.8_50,
            0.3_25,
            0.0_98,
            0.9_29,
            0.6_94,
            0.1_25,
            0.4_94,
            0.1_84,
            0.5_56,
            0.4_66,
            0.6_74,
            0.1_88,
            0.3_01,
            0.7_45,
            0.9_33,
            0.6_35,
            0.0_78,
            0.1_84,
            0.3_00,
            0.3_00,
            0.3_00,
            0.6_00,
            0.6_00,
            0.6_00,
            1.0_00,
            0.0_00,
            0.0_00,
            1.0_00,
            0.5_00,
            0.0_00,
            0.7_49,
            0.7_49,
            0.0_00,
            0.0_00,
            1.0_00,
            0.0_00,
            0.0_00,
            0.0_00,
            1.0_00,
            0.6_67,
            0.0_00,
            1.0_00,
            0.3_33,
            0.3_33,
            0.0_00,
            0.3_33,
            0.6_67,
            0.0_00,
            0.3_33,
            1.0_00,
            0.0_00,
            0.6_67,
            0.3_33,
            0.0_00,
            0.6_67,
            0.6_67,
            0.0_00,
            0.6_67,
            1.0_00,
            0.0_00,
            1.0_00,
            0.3_33,
            0.0_00,
            1.0_00,
            0.6_67,
            0.0_00,
            1.0_00,
            1.0_00,
            0.0_00,
            0.0_00,
            0.3_33,
            0.5_00,
            0.0_00,
            0.6_67,
            0.5_00,
            0.0_00,
            1.0_00,
            0.5_00,
            0.3_33,
            0.0_00,
            0.5_00,
            0.3_33,
            0.3_33,
            0.5_00,
            0.3_33,
            0.6_67,
            0.5_00,
            0.3_33,
            1.0_00,
            0.5_00,
            0.6_67,
            0.0_00,
            0.5_00,
            0.6_67,
            0.3_33,
            0.5_00,
            0.6_67,
            0.6_67,
            0.5_00,
            0.6_67,
            1.0_00,
            0.5_00,
            1.0_00,
            0.0_00,
            0.5_00,
            1.0_00,
            0.3_33,
            0.5_00,
            1.0_00,
            0.6_67,
            0.5_00,
            1.0_00,
            1.0_00,
            0.5_00,
            0.0_00,
            0.3_33,
            1.0_00,
            0.0_00,
            0.6_67,
            1.0_00,
            0.0_00,
            1.0_00,
            1.0_00,
            0.3_33,
            0.0_00,
            1.0_00,
            0.3_33,
            0.3_33,
            1.0_00,
            0.3_33,
            0.6_67,
            1.0_00,
            0.3_33,
            1.0_00,
            1.0_00,
            0.6_67,
            0.0_00,
            1.0_00,
            0.6_67,
            0.3_33,
            1.0_00,
            0.6_67,
            0.6_67,
            1.0_00,
            0.6_67,
            1.0_00,
            1.0_00,
            1.0_00,
            0.0_00,
            1.0_00,
            1.0_00,
            0.3_33,
            1.0_00,
            1.0_00,
            0.6_67,
            1.0_00,
            0.3_33,
            0.0_00,
            0.0_00,
            0.5_00,
            0.0_00,
            0.0_00,
            0.6_67,
            0.0_00,
            0.0_00,
            0.8_33,
            0.0_00,
            0.0_00,
            1.0_00,
            0.0_00,
            0.0_00,
            0.0_00,
            0.1_67,
            0.0_00,
            0.0_00,
            0.3_33,
            0.0_00,
            0.0_00,
            0.5_00,
            0.0_00,
            0.0_00,
            0.6_67,
            0.0_00,
            0.0_00,
            0.8_33,
            0.0_00,
            0.0_00,
            1.0_00,
            0.0_00,
            0.0_00,
            0.0_00,
            0.1_67,
            0.0_00,
            0.0_00,
            0.3_33,
            0.0_00,
            0.0_00,
            0.5_00,
            0.0_00,
            0.0_00,
            0.6_67,
            0.0_00,
            0.0_00,
            0.8_33,
            0.0_00,
            0.0_00,
            1.0_00,
            0.0_00,
            0.0_00,
            0.0_00,
            0.1_43,
            0.1_43,
            0.1_43,
            0.8_57,
            0.8_57,
            0.8_57,
            1.0_00,
            1.0_00,
            1.0_00,
        ]
    )
    .astype(np.floataa)
    .reshape(-1, 3)
)








class 						_lowerCAmelCase:

  """simple docstring"""







  def __init__( self  ,    UpperCAmelCase     )-> List[Any]:
     __A				 =       val
     # Number of nodes in left subtree
     __A				 =       0
     __A				 =       None
     __A				 =       None
     __A				 =       None





  def 		SCREAMING_SNAKE_CASE__	( self  ,    UpperCAmelCase     )-> List[Any]:
     assert self.left_tree_size == other.left_tree_size, "Unequal Sizes of Blocks"

     if self.val < other.val:
        __A				 =       self.right
        __A				 =       None
        if self.right:
           __A				 =       other
        __A				 =       other
        __A				 =       self.left_tree_size * 2 + 1
        return self
     else:
        __A				 =       other.right
        __A				 =       None
        if other.right:
           __A				 =       self
        __A				 =       self
        __A				 =       other.left_tree_size * 2 + 1
        return other







class 						_lowerCAmelCase:

  """simple docstring"""







  def __init__( self  ,    UpperCAmelCase=None  ,    UpperCAmelCase=None  ,    UpperCAmelCase=0     )-> List[Any]:
     __A				 =       heap_size
     __A				 =       bottom_root
     __A				 =       min_node

  def 		SCREAMING_SNAKE_CASE__	( self  ,    UpperCAmelCase     )-> Optional[int]:

     # Empty heaps corner cases
     if other.size == 0:
        return None
     if self.size == 0:
        __A				 =       other.size
        __A				 =       other.bottom_root
        __A				 =       other.min_node
        return None
     # Update size
     __A				 =       self.size + other.size

     # Update min.node
     if self.min_node.val > other.min_node.val:
        __A				 =       other.min_node
     # Merge

     # Order roots by left_subtree_size
     __A				 =       []
     __A ,						__A				 =       self.bottom_root, other.bottom_root
     while i or j:
        if i and ((not j) or i.left_tree_size < j.left_tree_size):
           combined_roots_list.append((i, True)     )
           __A				 =       i.parent
        else:
           combined_roots_list.append((j, False)     )
           __A				 =       j.parent
        # Insert links between them
     for i in range(len(UpperCAmelCase     ) - 1     ):
        if combined_roots_list[i][1] != combined_roots_list[i + 1][1]:
           __A				 =       combined_roots_list[i + 1][0]
           __A				 =       combined_roots_list[i][0]
        # Consecutively merge roots with same left_tree_size
     __A				 =       combined_roots_list[0][0]
     while i.parent:
        if (
            (i.left_tree_size == i.parent.left_tree_size) and (not i.parent.parent)
        ) or (
            i.left_tree_size == i.parent.left_tree_size
            and i.left_tree_size != i.parent.parent.left_tree_size
        ):
           # Neighbouring Nodes
           __A				 =       i.left
           __A				 =       i.parent.parent

           # Merging trees
           __A				 =       i.merge_trees(i.parent     )

           # Updating links
           __A				 =       previous_node
           __A				 =       next_node
           if previous_node:
              __A				 =       i
           if next_node:
              __A				 =       i
        else:
           __A				 =       i.parent
        # Updating self.bottom_root
     while i.left:
        __A				 =       i.left
     __A				 =       i

     # Update other
     __A				 =       self.size
     __A				 =       self.bottom_root
     __A				 =       self.min_node

     # Return the merged heap
     return self

  def 		SCREAMING_SNAKE_CASE__	( self  ,    UpperCAmelCase     )-> Optional[Any]:
     if self.size == 0:
        __A				 =       Node(UpperCAmelCase     )
        __A				 =       1
        __A				 =       self.bottom_root
     else:
        # Create new node
        __A				 =       Node(UpperCAmelCase     )

        # Update size
        self.size += 1

        # update min_node
        if val < self.min_node.val:
           __A				 =       new_node
        # Put new_node as a bottom_root in heap
        __A				 =       new_node
        __A				 =       self.bottom_root
        __A				 =       new_node

        # Consecutively merge roots with same left_tree_size
        while (
            self.bottom_root.parent
            and self.bottom_root.left_tree_size
            == self.bottom_root.parent.left_tree_size
        ):
           # Next node
           __A				 =       self.bottom_root.parent.parent

           # Merge
           __A				 =       self.bottom_root.merge_trees(self.bottom_root.parent     )

           # Update Links
           __A				 =       next_node
           __A				 =       None
           if next_node:
              __A				 =       self.bottom_root

  def 		SCREAMING_SNAKE_CASE__	( self     )-> int:
     return self.min_node.val

  def 		SCREAMING_SNAKE_CASE__	( self     )-> Tuple:
     return self.size == 0

  def 		SCREAMING_SNAKE_CASE__	( self     )-> List[Any]:
     __A				 =       self.min_node.val

     # Last element in heap corner case
     if self.size == 1:
        # Update size
        __A				 =       0

        # Update bottom root
        __A				 =       None

        # Update min_node
        __A				 =       None

        return min_value
     # No right subtree corner case
     # The structure of the tree implies that this should be the bottom root
     # and there is at least one other root
     if self.min_node.right is None:
        # Update size
        self.size -= 1

        # Update bottom root
        __A				 =       self.bottom_root.parent
        __A				 =       None

        # Update min_node
        __A				 =       self.bottom_root
        __A				 =       self.bottom_root.parent
        while i:
           if i.val < self.min_node.val:
              __A				 =       i
           __A				 =       i.parent
        return min_value
     # General case
     # Find the BinomialHeap of the right subtree of min_node
     __A				 =       self.min_node.right
     __A				 =       None
     __A				 =       bottom_of_new
     __A				 =       1

     # Size, min_node and bottom_root
     while bottom_of_new.left:
        __A				 =       size_of_new * 2 + 1
        __A				 =       bottom_of_new.left
        if bottom_of_new.val < min_of_new.val:
           __A				 =       bottom_of_new
        # Corner case of single root on top left path
     if (not self.min_node.left) and (not self.min_node.parent):
        __A				 =       size_of_new
        __A				 =       bottom_of_new
        __A				 =       min_of_new
        # print("Single root, multiple nodes case")
        return min_value
     # Remaining cases
     # Construct heap of right subtree
     __A				 =       BinomialHeap(
         bottom_root=UpperCAmelCase  ,    min_node=UpperCAmelCase  ,    heap_size=UpperCAmelCase     )

     # Update size
     __A				 =       self.size - 1 - size_of_new

     # Neighbour nodes
     __A				 =       self.min_node.left
     __A				 =       self.min_node.parent

     # Initialize new bottom_root and min_node
     __A				 =       previous_node or next_node
     __A				 =       next_node

     # Update links of previous_node and search below for new min_node and
     # bottom_root
     if previous_node:
        __A				 =       next_node

        # Update bottom_root and search for min_node below
        __A				 =       previous_node
        __A				 =       previous_node
        while self.bottom_root.left:
           __A				 =       self.bottom_root.left
           if self.bottom_root.val < self.min_node.val:
              __A				 =       self.bottom_root
     if next_node:
        __A				 =       previous_node

        # Search for new min_node above min_node
        __A				 =       next_node
        while i:
           if i.val < self.min_node.val:
              __A				 =       i
           __A				 =       i.parent
        # Merge heaps
     self.merge_heaps(UpperCAmelCase     )

     return min_value

  def 		SCREAMING_SNAKE_CASE__	( self     )-> List[str]:
     __A				 =       self.bottom_root
     while top_root.parent:
        __A				 =       top_root.parent
     # preorder
     __A				 =       []
     self.__traversal(UpperCAmelCase  ,    UpperCAmelCase     )
     return heap_pre_order

  def 		SCREAMING_SNAKE_CASE__	( self  ,    UpperCAmelCase  ,    UpperCAmelCase  ,    UpperCAmelCase=0     )-> Optional[Any]:
     if curr_node:
        preorder.append((curr_node.val, level)     )
        self.__traversal(curr_node.left  ,    UpperCAmelCase  ,    level + 1     )
        self.__traversal(curr_node.right  ,    UpperCAmelCase  ,    level + 1     )
     else:
        preorder.append(('''#''', level)     )





  def __str__( self     )-> str:
     if self.is_empty():
        return ""
     __A				 =       self.pre_order()

     return "\n".join(('''-''' * level + str(UpperCAmelCase     )) for value, level in preorder_heap     )


# Unit Tests
if __name__ == "__main__":
    import doctest

    doctest.testmod()

