





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       :				Optional[int]           =			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    ,							)->   Optional[int]:
     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    =  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      )->   List[str]:
     if color is None:
        __A    =  self.edgecolor
     (__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      )->   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      )->   Union[str, Any]:
     __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"    ,							)->   str:
     __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    =  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      )->   Dict:
     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      )->   Dict:
     __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      )->   Tuple:
     __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      )->   List[str]:
     __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    =  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    =  self.width, self.height
        __A    =  buf.getvalue()
        __A    =  self.img

     __A    =  np.frombuffer(UpperCAmelCase    ,							dtype='''uint8'''      )
     __A    =  buffer.reshape(UpperCAmelCase    ,							UpperCAmelCase    ,							4      )
     __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'''      ) / 2_55.0
        __A    =  img * (1 - alpha) + rgb * alpha

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





  def 						SCREAMING_SNAKE_CASE__			(   self    ,							UpperCAmelCase    ,							UpperCAmelCase      )->   Tuple:
     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       :				Dict           =			(
    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)
)






"""simple docstring"""
# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

from pathlib import Path

from .config_args import default_config_file, load_config_from_file
from .config_utils import SubcommandHelpFormatter


__a           =							"Update an existing config file with the latest defaults while maintaining the old configuration."
def   A_    (     _lowercase      ):







						'''simple docstring'''


						snake_case_					:int		=     args.config_file
						if config_file is None and Path(_lowercase      ).exists():
												snake_case_					:str		=     default_config_file
						elif not Path(_lowercase      ).exists():
												raise ValueError(f"""The passed config file located at {config_file} doesn't exist."""      )
						snake_case_					:str		=     load_config_from_file(_lowercase      )

						if config_file.endswith(""".json"""      ):
												config.to_json_file(_lowercase      )
						else:
												config.to_yaml_file(_lowercase      )
						return config_file
def   A_    (     _lowercase,   _lowercase      ):







						'''simple docstring'''


						snake_case_					:Any		=     parser.add_parser("""update""",   parents=_lowercase,   help=_lowercase,   formatter_class=_lowercase      )
						parser.add_argument(
						    """--config_file""",   default=_lowercase,   help=(
						        """The path to the config file to update. Will default to a file named default_config.yaml in the cache """
						        """location, which is the content of the environment `HF_HOME` suffixed with 'accelerate', or if you don't have """
						        """such an environment variable, your cache directory ('~/.cache' or the content of `XDG_CACHE_HOME`) suffixed """
						        """with 'huggingface'."""
						    ),   )

						parser.set_defaults(func=_lowercase      )
						return parser

def   A_    (     _lowercase      ):







						'''simple docstring'''


						snake_case_					:str		=     update_config(_lowercase      )
						print(f"""Sucessfully updated the configuration file at {config_file}."""      )
