

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


_lowerCAmelCase :	List[str]     				=    1_0_0_0


class     lowerCAmelCase				:


       '''simple docstring'''







       def __init__(	self					:  List[Any]						,	__snake_case					:  Dict						,	__snake_case					:  Tuple=1.2						,	__snake_case					:  Dict="g"						,	__snake_case					:  Any=0.5						,	__snake_case					:  int="-"						,	__snake_case					:  Optional[Any]="test_out.jpg"						,	__snake_case					:  Optional[Any]=True						,	__snake_case					:  Tuple=False						,	__snake_case					:  str=None						,	__snake_case					:  List[Any]=None						,	__snake_case					:  str=0.7						,	)   -> List[str]:







        '''simple docstring'''

        if isinstance(_snake_case						,	torch.Tensor     ):
         lowerCamelCase      						=    img.numpy().astype('np.uint8'     )
        if isinstance(_snake_case						,	_snake_case     ):
         lowerCamelCase      						=    img_tensorize(_snake_case     )
        assert isinstance(_snake_case						,	np.ndarray     )

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

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

       def   lowerCamelCase__						(	self					:  int						,	__snake_case					:  List[str]						,	__snake_case					:  Union[str, Any]=None     )   -> List[str]:







        '''simple docstring'''

        if color is None:
         lowerCamelCase      						=    self.edgecolor
        (lowerCamelCase)      						=    box
        lowerCamelCase      						=    xa - xa
        lowerCamelCase      						=    ya - ya
        self.ax.add_patch(
            mpl.patches.Rectangle(
                (xa, ya)						,	_snake_case						,	_snake_case						,	fill=_snake_case						,	edgecolor=_snake_case						,	linewidth=self.font_size // 3						,	alpha=self.alpha						,	linestyle=self.linestyle						,	)     )

       def   lowerCamelCase__						(	self					:  Optional[Any]						,	__snake_case					:  Optional[Any]						,	__snake_case					:  Any=None						,	__snake_case					:  List[str]=None						,	__snake_case					:  Dict=None						,	__snake_case					:  Tuple=None     )   -> List[Any]:







        '''simple docstring'''

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

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

       def   lowerCamelCase__						(	self					:  Union[str, Any]						,	__snake_case					:  List[Any]						,	__snake_case					:  List[Any]						,	__snake_case					:  Tuple     )   -> Union[str, Any]:







        '''simple docstring'''

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

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

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

       def   lowerCamelCase__						(	self					:  List[Any]						,	__snake_case					:  Tuple						,	__snake_case					:  List[Any]						,	__snake_case					:  Optional[Any]="g"						,	__snake_case					:  Dict="left"						,	)   -> str:







        '''simple docstring'''

        lowerCamelCase      						=    0
        lowerCamelCase      						=    self.font_size
        lowerCamelCase      						=    np.maximum(list(mplc.to_rgb(_snake_case     )     )						,	0.2     )
        lowerCamelCase      						=    max(0.8						,	np.max(_snake_case     )     )
        lowerCamelCase      						=    {
            '''facecolor''': '''black''',
            '''alpha''': self.alpha,
            '''pad''': self.pad,
            '''edgecolor''': '''none''',
        }
        lowerCamelCase      						=    position
        self.ax.text(
            _snake_case						,	_snake_case						,	_snake_case						,	size=font_size * self.scale						,	family='sans-serif'						,	bbox=_snake_case						,	verticalalignment='top'						,	horizontalalignment=_snake_case						,	color=_snake_case						,	zorder=10						,	rotation=_snake_case						,	)

       def   lowerCamelCase__						(	self					:  List[Any]						,	__snake_case					:  int=None     )   -> Dict:







        '''simple docstring'''

        if saveas is None:
         lowerCamelCase      						=    self.saveas
        if saveas.lower().endswith('.jpg'     ) or saveas.lower().endswith('.png'     ):
         cva.imwrite(
             _snake_case						,	self._get_buffer()[:, :, ::-1]						,	)
        else:
         self.fig.savefig(_snake_case     )

       def   lowerCamelCase__						(	self					:  Any						,	__snake_case					:  int						,	__snake_case					:  Union[str, Any]						,	__snake_case					:  List[str]						,	__snake_case					:  str     )   -> Optional[int]:







        '''simple docstring'''

        lowerCamelCase      						=    [self.idaobj[i] for i in classes]
        lowerCamelCase      						=    [self.idaattr[i] for i in attr_classes]
        lowerCamelCase      						=    [
            F'''{label} {score:.2f} {attr} {attr_score:.2f}'''
            for label, score, attr, attr_score in zip(_snake_case						,	_snake_case						,	_snake_case						,	_snake_case     )
        ]
        return labels

       def   lowerCamelCase__						(	self					:  Any						,	__snake_case					:  List[Any]						,	__snake_case					:  List[str]     )   -> int:







        '''simple docstring'''

        lowerCamelCase      						=    [self.idaobj[i] for i in classes]
        if scores is not None:
         if labels is None:
          lowerCamelCase      						=    ['''{:.0f}%'''.format(s * 100     ) for s in scores]
         else:
          lowerCamelCase      						=    ['''{} {:.0f}%'''.format(_snake_case						,	s * 100     ) for li, s in zip(_snake_case						,	_snake_case     )]
        return labels

       def   lowerCamelCase__						(	self					:  List[Any]						,	__snake_case					:  Tuple=255     )   -> Optional[int]:







        '''simple docstring'''

        lowerCamelCase      						=    np.random.randint(0						,	len(_COLORS     )     )
        lowerCamelCase      						=    _COLORS[idx] * maximum
        if not self.rgb:
         lowerCamelCase      						=    ret[::-1]
        return ret

       def   lowerCamelCase__						(	self					:  Optional[Any]     )   -> Optional[Any]:







        '''simple docstring'''

        if not self.pynb:
         lowerCamelCase      						=    self.canvas.print_to_buffer()
         if (width, height) != (self.width, self.height):
          lowerCamelCase      						=    cva.resize(self.img						,	(width, height)     )
         else:
          lowerCamelCase      						=    self.img
        else:
         lowerCamelCase      						=    io.BytesIO()  # works for cairo backend
         self.canvas.print_rgba(_snake_case     )
         lowerCamelCase      						=    self.width, self.height
         lowerCamelCase      						=    buf.getvalue()
         lowerCamelCase      						=    self.img

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

        try:
         import numexpr as ne  # fuse them with numexpr

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

        return visualized_image.astype('uint8'     )





       def   lowerCamelCase__						(	self					:  Dict						,	__snake_case					:  Optional[Any]						,	__snake_case					:  str     )   -> Optional[Any]:







        '''simple docstring'''

        assert brightness_factor >= -1.0 and brightness_factor <= 1.0
        lowerCamelCase      						=    mplc.to_rgb(_snake_case     )
        lowerCamelCase      						=    colorsys.rgb_to_hls(*mplc.to_rgb(_snake_case     )     )
        lowerCamelCase      						=    polygon_color[1] + (brightness_factor * polygon_color[1])
        lowerCamelCase      						=    0.0 if modified_lightness < 0.0 else modified_lightness
        lowerCamelCase      						=    1.0 if modified_lightness > 1.0 else modified_lightness
        lowerCamelCase      						=    colorsys.hls_to_rgb(polygon_color[0]						,	_snake_case						,	polygon_color[2]     )
        return modified_color

_lowerCAmelCase :	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)
)







from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_sentencepiece_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


_lowerCAmelCase :	List[Any]     				=    {
    'configuration_switch_transformers': [
        'SWITCH_TRANSFORMERS_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'SwitchTransformersConfig',
        'SwitchTransformersOnnxConfig',
    ]
}

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     _lowerCAmelCase :	Tuple     				=    [
         'SWITCH_TRANSFORMERS_PRETRAINED_MODEL_ARCHIVE_LIST',
         'SwitchTransformersEncoderModel',
         'SwitchTransformersForConditionalGeneration',
         'SwitchTransformersModel',
         'SwitchTransformersPreTrainedModel',
         'SwitchTransformersTop1Router',
         'SwitchTransformersSparseMLP',
     ]


if TYPE_CHECKING:
     from .configuration_switch_transformers import (
         SWITCH_TRANSFORMERS_PRETRAINED_CONFIG_ARCHIVE_MAP,
         SwitchTransformersConfig,
         SwitchTransformersOnnxConfig,
     )

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_switch_transformers import (
              SWITCH_TRANSFORMERS_PRETRAINED_MODEL_ARCHIVE_LIST,
              SwitchTransformersEncoderModel,
              SwitchTransformersForConditionalGeneration,
              SwitchTransformersModel,
              SwitchTransformersPreTrainedModel,
              SwitchTransformersSparseMLP,
              SwitchTransformersTopaRouter,
          )


else:
     import sys

     _lowerCAmelCase :	List[Any]     				=    _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)




