
'''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


UpperCamelCase__ :						Dict    							=					1_000

class 				_a			:






       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    ,							)      ->     List[str]:

          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     UpperCamelCase			(							self    ,							A__    ,							A__=None )      ->     Optional[Any]:

          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     UpperCamelCase			(							self    ,							A__    ,							A__=None    ,							A__=None    ,							A__=None    ,							A__=None )      ->     Tuple:

          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     UpperCamelCase			(							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     UpperCamelCase			(							self    ,							A__    ,							A__    ,							A__="g"    ,							A__="left"    ,							)      ->     List[Any]:
          _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     UpperCamelCase			(							self    ,							A__=None )      ->     Tuple:

          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     UpperCamelCase			(							self    ,							A__    ,							A__    ,							A__    ,							A__ )      ->     Optional[Any]:
          _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     UpperCamelCase			(							self    ,							A__    ,							A__ )      ->     Optional[int]:
          _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 * 1_00 ) for s in scores]
             else:
                _SCREAMING_SNAKE_CASE       	=			["""{} {:.0f}%""".format(A__    ,							s * 1_00 ) for li, s in zip(A__    ,							A__ )]
          return labels






       def     UpperCamelCase			(							self    ,							A__=2_55 )      ->     Optional[int]:
          _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     UpperCamelCase			(							self )      ->     Union[str, 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     UpperCamelCase			(							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






UpperCamelCase__ :						Union[str, Any]    							=					(
    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)
)








'''simple docstring'''



from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCamelCase__ :						int    							=					logging.get_logger(__name__)

UpperCamelCase__ :						Any    							=					{
    "openbmb/cpm-ant-10b": "https://huggingface.co/openbmb/cpm-ant-10b/blob/main/config.json"
    # See all CPMAnt models at https://huggingface.co/models?filter=cpmant
}

class 				_a			(_lowerCamelCase):





       """simple docstring"""




       SCREAMING_SNAKE_CASE =					'cpmant'






       def __init__(							self    ,							A__ = 3_07_20    ,							A__ = 40_96    ,							A__ = 32    ,							A__ = 1_28    ,							A__ = 1_02_40    ,							A__ = 48    ,							A__ = 0.0    ,							A__ = 5_12    ,							A__ = 20_48    ,							A__ = 1E-6    ,							A__ = 1.0    ,							A__ = 32    ,							A__ = 32    ,							A__ = 32    ,							A__ = True    ,							**A__    ,							)      ->     List[Any]:
          super().__init__(**A__ )
          _SCREAMING_SNAKE_CASE       	=			prompt_types
          _SCREAMING_SNAKE_CASE       	=			prompt_length
          _SCREAMING_SNAKE_CASE       	=			segment_types
          _SCREAMING_SNAKE_CASE       	=			hidden_size
          _SCREAMING_SNAKE_CASE       	=			num_attention_heads
          _SCREAMING_SNAKE_CASE       	=			dim_head
          _SCREAMING_SNAKE_CASE       	=			dim_ff
          _SCREAMING_SNAKE_CASE       	=			num_hidden_layers
          _SCREAMING_SNAKE_CASE       	=			position_bias_num_buckets
          _SCREAMING_SNAKE_CASE       	=			position_bias_max_distance
          _SCREAMING_SNAKE_CASE       	=			dropout_p
          _SCREAMING_SNAKE_CASE       	=			eps
          _SCREAMING_SNAKE_CASE       	=			use_cache
          _SCREAMING_SNAKE_CASE       	=			vocab_size
          _SCREAMING_SNAKE_CASE       	=			init_std






