"""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


lowerCAmelCase__    :    str			=      1_000
class 							snake_case			:




					"""simple docstring"""

					def __init__(							self  :      Union[str, Any]       ,lowerCamelCase__  :      str       ,lowerCamelCase__  :      Optional[Any]=1.2       ,lowerCamelCase__  :      str="g"       ,lowerCamelCase__  :      Optional[Any]=0.5       ,lowerCamelCase__  :      int="-"       ,lowerCamelCase__  :      List[str]="test_out.jpg"       ,lowerCamelCase__  :      Tuple=True       ,lowerCamelCase__  :      List[str]=False       ,lowerCamelCase__  :      Optional[int]=None       ,lowerCamelCase__  :      int=None       ,lowerCamelCase__  :      int=0.7       ,):
									if isinstance(lowerCamelCase__       ,torch.Tensor     ):
													UpperCAmelCase__			 =				img.numpy().astype('np.uint8'     )
									if isinstance(lowerCamelCase__       ,lowerCamelCase__     ):
													UpperCAmelCase__			 =				img_tensorize(lowerCamelCase__     )
									assert isinstance(lowerCamelCase__       ,np.ndarray     )

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

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







					def 						__lowerCAmelCase		(							self  :      str       ,lowerCamelCase__  :      Union[str, Any]       ,lowerCamelCase__  :      Union[str, Any]=None     ):
									if color is None:
													UpperCAmelCase__			 =				self.edgecolor
									(UpperCAmelCase__)			 =				box
									UpperCAmelCase__			 =				xa - xa
									UpperCAmelCase__			 =				ya - ya
									self.ax.add_patch(
									    mpl.patches.Rectangle(
									        (xa, ya)       ,lowerCamelCase__       ,lowerCamelCase__       ,fill=lowerCamelCase__       ,edgecolor=lowerCamelCase__       ,linewidth=self.font_size // 3       ,alpha=self.alpha       ,linestyle=self.linestyle       ,)     )







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

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







					def 						__lowerCAmelCase		(							self  :      Dict       ,lowerCamelCase__  :      Optional[int]       ,lowerCamelCase__  :      Any       ,lowerCamelCase__  :      Optional[int]     ):
									UpperCAmelCase__			 =				box
									UpperCAmelCase__			 =				(xa, ya)
									UpperCAmelCase__			 =				(ya - ya) * (xa - xa)
									UpperCAmelCase__			 =				_SMALL_OBJ * self.scale
									if instance_area < small or ya - ya < 40 * self.scale:
													if ya >= self.height - 5:
																	UpperCAmelCase__			 =				(xa, ya)
													else:
																	UpperCAmelCase__			 =				(xa, ya)

									UpperCAmelCase__			 =				(ya - ya) / np.sqrt(self.height * self.width     )
									UpperCAmelCase__			 =				self._change_color_brightness(lowerCamelCase__       ,brightness_factor=0.7     )
									UpperCAmelCase__			 =				np.clip((height_ratio - 0.0_2) / 0.0_8 + 1       ,1.2       ,2     )
									font_size *= 0.7_5 * self.font_size

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







					def 						__lowerCAmelCase		(							self  :      List[Any]       ,lowerCamelCase__  :      Dict       ,lowerCamelCase__  :      Dict       ,lowerCamelCase__  :      List[Any]="g"       ,lowerCamelCase__  :      Tuple="left"       ,):
									UpperCAmelCase__			 =				0
									UpperCAmelCase__			 =				self.font_size
									UpperCAmelCase__			 =				np.maximum(list(mplc.to_rgb(lowerCamelCase__     )     )       ,0.2     )
									UpperCAmelCase__			 =				max(0.8       ,np.max(lowerCamelCase__     )     )
									UpperCAmelCase__			 =				{
									    """facecolor""": """black""",
									    """alpha""": self.alpha,
									    """pad""": self.pad,
									    """edgecolor""": """none""",
									}
									UpperCAmelCase__			 =				position
									self.ax.text(
									    lowerCamelCase__       ,lowerCamelCase__       ,lowerCamelCase__       ,size=font_size * self.scale       ,family='sans-serif'       ,bbox=lowerCamelCase__       ,verticalalignment='top'       ,horizontalalignment=lowerCamelCase__       ,color=lowerCamelCase__       ,zorder=10       ,rotation=lowerCamelCase__       ,)







					def 						__lowerCAmelCase		(							self  :      int       ,lowerCamelCase__  :      Optional[Any]=None     ):
									if saveas is None:
													UpperCAmelCase__			 =				self.saveas
									if saveas.lower().endswith('.jpg'     ) or saveas.lower().endswith('.png'     ):
													cva.imwrite(
													    lowerCamelCase__       ,self._get_buffer()[:, :, ::-1]       ,)
									else:
													self.fig.savefig(lowerCamelCase__     )







					def 						__lowerCAmelCase		(							self  :      Union[str, Any]       ,lowerCamelCase__  :      Dict       ,lowerCamelCase__  :      Union[str, Any]       ,lowerCamelCase__  :      List[Any]       ,lowerCamelCase__  :      Optional[int]     ):
									UpperCAmelCase__			 =				[self.idaobj[i] for i in classes]
									UpperCAmelCase__			 =				[self.idaattr[i] for i in attr_classes]
									UpperCAmelCase__			 =				[
									    f'''{label} {score:.2f} {attr} {attr_score:.2f}'''
									    for label, score, attr, attr_score in zip(lowerCamelCase__       ,lowerCamelCase__       ,lowerCamelCase__       ,lowerCamelCase__     )
									]
									return labels







					def 						__lowerCAmelCase		(							self  :      Union[str, Any]       ,lowerCamelCase__  :      Union[str, Any]       ,lowerCamelCase__  :      List[str]     ):
									UpperCAmelCase__			 =				[self.idaobj[i] for i in classes]
									if scores is not None:
													if labels is None:
																	UpperCAmelCase__			 =				["""{:.0f}%""".format(s * 100     ) for s in scores]
													else:
																	UpperCAmelCase__			 =				["""{} {:.0f}%""".format(lowerCamelCase__       ,s * 100     ) for li, s in zip(lowerCamelCase__       ,lowerCamelCase__     )]
									return labels







					def 						__lowerCAmelCase		(							self  :      Tuple       ,lowerCamelCase__  :      Union[str, Any]=255     ):
									UpperCAmelCase__			 =				np.random.randint(0       ,len(_COLORS     )     )
									UpperCAmelCase__			 =				_COLORS[idx] * maximum
									if not self.rgb:
													UpperCAmelCase__			 =				ret[::-1]
									return ret







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

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

									try:
													import numexpr as ne  # fuse them with numexpr

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

									return visualized_image.astype('uint8'     )







					def 						__lowerCAmelCase		(							self  :      Optional[int]       ,lowerCamelCase__  :      Tuple       ,lowerCamelCase__  :      Optional[Any]     ):
									assert brightness_factor >= -1.0 and brightness_factor <= 1.0
									UpperCAmelCase__			 =				mplc.to_rgb(lowerCamelCase__     )
									UpperCAmelCase__			 =				colorsys.rgb_to_hls(*mplc.to_rgb(lowerCamelCase__     )     )
									UpperCAmelCase__			 =				polygon_color[1] + (brightness_factor * polygon_color[1])
									UpperCAmelCase__			 =				0.0 if modified_lightness < 0.0 else modified_lightness
									UpperCAmelCase__			 =				1.0 if modified_lightness > 1.0 else modified_lightness
									UpperCAmelCase__			 =				colorsys.hls_to_rgb(polygon_color[0]       ,lowerCamelCase__       ,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)
)








'''simple docstring'''




import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils_fast import AddedToken, PreTrainedTokenizerFast
from ...utils import logging


a  :     Any       =       logging.get_logger(__name__)

a  :     int       =       {"""vocab_file""": """spiece.model""", """tokenizer_file""": """tokenizer.json"""}

a  :     List[Any]       =       {
    """vocab_file""": {
        """TsinghuaAI/CPM-Generate""": """https://huggingface.co/TsinghuaAI/CPM-Generate/resolve/main/spiece.model""",
    },
    """tokenizer_file""": {
        """TsinghuaAI/CPM-Generate""": """https://huggingface.co/TsinghuaAI/CPM-Generate/resolve/main/tokenizer.json""",
    },
}

class      UpperCamelCase_					(				__magic_name__     ):





	def __init__(    self						,						A=None						,						A=None						,						A=False						,						A=True						,						A=False						,						A="<s>"						,						A="</s>"						,						A="<unk>"						,						A="<sep>"						,						A="<pad>"						,						A="<cls>"						,						A="<mask>"						,						A=["<eop>", "<eod>"]						,						**A						,						)     ->     Tuple:
								UpperCAmelCase	:						str					=						AddedToken(A						,						lstrip=A						,						rstrip=A       ) if isinstance(A						,						A       ) else mask_token

								super().__init__(
								    vocab_file=A						,						tokenizer_file=A						,						do_lower_case=A						,						remove_space=A						,						keep_accents=A						,						bos_token=A						,						eos_token=A						,						unk_token=A						,						sep_token=A						,						pad_token=A						,						cls_token=A						,						mask_token=A						,						additional_special_tokens=A						,						**A						,						)

								UpperCAmelCase	:						List[Any]					=						3
								UpperCAmelCase	:						Tuple					=						do_lower_case
								UpperCAmelCase	:						Union[str, Any]					=						remove_space
								UpperCAmelCase	:						Tuple					=						keep_accents
								UpperCAmelCase	:						Any					=						vocab_file
								UpperCAmelCase	:						Tuple					=						False if not self.vocab_file else True

								try:
															import jieba
								except ModuleNotFoundError as error:
															raise error.__class__(
															    """You need to install jieba to use CpmTokenizer or CpmTokenizerFast. """
															    """See https://pypi.org/project/jieba/ for installation."""       )
								UpperCAmelCase	:						int					=						jieba
								UpperCAmelCase	:						Optional[int]					=						str.maketrans(""" \n"""						,						"""\u2582\u2583"""       )





	def 					_lowercase(    self						,						A						,						A = None       )     ->     List[int]:
								UpperCAmelCase	:						Optional[int]					=						[self.sep_token_id]
								UpperCAmelCase	:						str					=						[self.cls_token_id]
								if token_ids_a is None:
															return token_ids_a + sep + cls
								return token_ids_a + sep + token_ids_a + sep + cls





	def 					_lowercase(    self						,						A						,						A = None       )     ->     List[int]:
								UpperCAmelCase	:						Union[str, Any]					=						[self.sep_token_id]
								UpperCAmelCase	:						str					=						[2]

								if token_ids_a is None:
															return len(token_ids_a + sep       ) * [0] + cls_segment_id
								return len(token_ids_a + sep       ) * [0] + len(token_ids_a + sep       ) * [1] + cls_segment_id





	def 					_lowercase(    self						,						A						,						A = None       )     ->     Tuple[str]:
								if not self.can_save_slow_tokenizer:
															raise ValueError(
															    """Your fast tokenizer does not have the necessary information to save the vocabulary for a slow """
															    """tokenizer."""       )

								if not os.path.isdir(A       ):
															logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''       )
															return
								UpperCAmelCase	:						Tuple					=						os.path.join(
								    A						,						(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]       )

								if os.path.abspath(self.vocab_file       ) != os.path.abspath(A       ):
															copyfile(self.vocab_file						,						A       )

								return (out_vocab_file,)





	def 					_lowercase(    self						,						A						,						*A						,						**A       )     ->     List[Any]:
								UpperCAmelCase	:						Optional[Any]					=						[
								    """ """.join([x.translate(self.translator       ) for x in self.jieba.cut(A						,						cut_all=A       )]       )
								    for text in batch_text_or_text_pairs
								]
								return super()._batch_encode_plus(A						,						*A						,						**A       )






	def 					_lowercase(    self						,						*A						,						**A       )     ->     str:
								UpperCAmelCase	:						Optional[int]					=						super()._decode(*A						,						**A       )
								UpperCAmelCase	:						int					=						text.replace(""" """						,						""""""       ).replace("""\u2582"""						,						""" """       ).replace("""\u2583"""						,						"""\n"""       )
								return text

