



from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxSeqaSeqConfigWithPast
from ...utils import logging


__lowerCamelCase								=      logging.get_logger(__name__)

__lowerCamelCase								=      {
    '''google/long-t5-local-base''': '''https://huggingface.co/google/long-t5-local-base/blob/main/config.json''',
    '''google/long-t5-local-large''': '''https://huggingface.co/google/long-t5-local-large/blob/main/config.json''',
    '''google/long-t5-tglobal-base''': '''https://huggingface.co/google/long-t5-tglobal-base/blob/main/config.json''',
    '''google/long-t5-tglobal-large''': '''https://huggingface.co/google/long-t5-tglobal-large/blob/main/config.json''',
}


class 	snake_case_			(_lowerCAmelCase	):




       """simple docstring"""






       _lowerCamelCase           =					"""longt5"""
       _lowerCamelCase           =					["""past_key_values"""]
       _lowerCamelCase           =					{"""hidden_size""": """d_model""", """num_attention_heads""": """num_heads""", """num_hidden_layers""": """num_layers"""}



       def __init__(  self  ,lowercase=32128  ,lowercase=512  ,lowercase=64  ,lowercase=2048  ,lowercase=6  ,lowercase=None  ,lowercase=8  ,lowercase=127  ,lowercase=16  ,lowercase=32  ,lowercase=128  ,lowercase=0.1  ,lowercase=1E-6  ,lowercase=1.0  ,lowercase="relu"  ,lowercase=True  ,lowercase="local"  ,lowercase=True  ,lowercase=0  ,lowercase=1  ,**lowercase  ,):

             """simple docstring"""





             UpperCAmelCase_	:						int					   =		vocab_size
             UpperCAmelCase_	:						str					   =		d_model
             UpperCAmelCase_	:						str					   =		d_kv
             UpperCAmelCase_	:						List[str]					   =		d_ff
             UpperCAmelCase_	:						str					   =		num_layers
             # default = symmetry
             UpperCAmelCase_	:						Optional[Any]					   =		num_decoder_layers if num_decoder_layers is not None else self.num_layers
             UpperCAmelCase_	:						Tuple					   =		num_heads
             UpperCAmelCase_	:						str					   =		local_radius
             UpperCAmelCase_	:						List[Any]					   =		global_block_size
             UpperCAmelCase_	:						Any					   =		relative_attention_num_buckets
             UpperCAmelCase_	:						str					   =		relative_attention_max_distance
             UpperCAmelCase_	:						List[Any]					   =		dropout_rate
             UpperCAmelCase_	:						Optional[int]					   =		layer_norm_epsilon
             UpperCAmelCase_	:						int					   =		initializer_factor
             UpperCAmelCase_	:						Dict					   =		feed_forward_proj
             UpperCAmelCase_	:						List[str]					   =		encoder_attention_type
             UpperCAmelCase_	:						Any					   =		use_cache

             UpperCAmelCase_	:						int					   =		self.feed_forward_proj.split("-")
             UpperCAmelCase_	:						str					   =		act_info[-1]
             UpperCAmelCase_	:						Union[str, Any]					   =		act_info[0] == """gated"""

             if len(lowercase) > 1 and act_info[0] != "gated" or len(lowercase) > 2:
                   raise ValueError(
                       F"""`feed_forward_proj`: {feed_forward_proj} is not a valid activation function of the dense layer."""
                       "Please make sure `feed_forward_proj` is of the format `gated-{ACT_FN}` or `{ACT_FN}`, e.g. "
                       "'gated-gelu' or 'relu'")

             # for backwards compatibility
             if feed_forward_proj == "gated-gelu":
                   UpperCAmelCase_	:						Tuple					   =		"""gelu_new"""

             super().__init__(
                 pad_token_id=lowercase  ,eos_token_id=lowercase  ,is_encoder_decoder=lowercase  ,**lowercase  ,)


class 	snake_case_			(_lowerCAmelCase	):




       """simple docstring"""






       @property
       def 			A_ (  self):

             """simple docstring"""





             UpperCAmelCase_	:						Any					   =		{
                 """input_ids""": {0: """batch""", 1: """encoder_sequence"""},
                 """attention_mask""": {0: """batch""", 1: """encoder_sequence"""},
             }
             if self.use_past:
                   UpperCAmelCase_	:						Optional[int]					   =		"""past_encoder_sequence + sequence"""
                   UpperCAmelCase_	:						int					   =		{0: """batch"""}
                   UpperCAmelCase_	:						Optional[int]					   =		{0: """batch""", 1: """past_decoder_sequence + sequence"""}
             else:
                   UpperCAmelCase_	:						List[str]					   =		{0: """batch""", 1: """decoder_sequence"""}
                   UpperCAmelCase_	:						List[Any]					   =		{0: """batch""", 1: """decoder_sequence"""}

             if self.use_past:
                   self.fill_with_past_key_values_(lowercase  ,direction="inputs")

             return common_inputs



       @property
       def 			A_ (  self):

             """simple docstring"""





             return 13





"""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


__a           =							10_00
class 							lowerCamelCase    :






					'''simple docstring'''





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

											snake_case_,			snake_case_					:Dict		=     img.shape[1], img.shape[0]
											snake_case_					:List[Any]		=     mplfigure.Figure(frameon=snake_case		)
											snake_case_					:Any		=     fig.get_dpi()
											snake_case_					:Tuple		=     (width * scale + 1E-2) / dpi
											snake_case_					:Any		=     (height * scale + 1E-2) / dpi
											fig.set_size_inches(snake_case		,	snake_case		)
											snake_case_					:str		=     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		)

											snake_case_					:str		=     saveas
											snake_case_					:str		=     rgb
											snake_case_					:Any		=     pynb
											snake_case_					:List[str]		=     img
											snake_case_					:Dict		=     edgecolor
											snake_case_					:Any		=     0.5
											snake_case_					:Dict		=     linestyle
											snake_case_					:Optional[Any]		=     int(np.sqrt(min(snake_case		,	snake_case		)		) * scale // 3		)
											snake_case_					:Optional[Any]		=     width
											snake_case_					:List[str]		=     height
											snake_case_					:int		=     scale
											snake_case_					:Tuple		=     fig
											snake_case_					:Any		=     ax
											snake_case_					:Union[str, Any]		=     pad
											snake_case_					:Dict		=     idaobj
											snake_case_					:Any		=     idaattr
											snake_case_					:Any		=     FigureCanvasAgg(snake_case		)






					def   lowerCAmelCase_							(			self:				int		,	snake_case:				Dict		,	snake_case:				Any=None		)  ->      List[str]:
											if color is None:
																	snake_case_					:Any		=     self.edgecolor
											((snake_case_),			(snake_case_),			(snake_case_),			(snake_case_))					:List[Any]		=     box
											snake_case_					:Union[str, Any]		=     xa - xa
											snake_case_					:Dict		=     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:				Dict		,	snake_case:				Union[str, Any]		,	snake_case:				Union[str, Any]=None		,	snake_case:				Any=None		,	snake_case:				List[str]=None		,	snake_case:				int=None		)  ->      Any:
											if len(boxes.shape		) > 2:
																	snake_case_					:str		=     boxes[0]
											if len(obj_ids.shape		) > 1:
																	snake_case_					:Optional[int]		=     obj_ids[0]
											if len(obj_scores.shape		) > 1:
																	snake_case_					:Union[str, Any]		=     obj_scores[0]
											if len(attr_ids.shape		) > 1:
																	snake_case_					:Union[str, Any]		=     attr_ids[0]
											if len(attr_scores.shape		) > 1:
																	snake_case_					:Optional[int]		=     attr_scores[0]
											if isinstance(snake_case		,	torch.Tensor		):
																	snake_case_					:str		=     boxes.numpy()
											if isinstance(snake_case		,	snake_case		):
																	snake_case_					:List[str]		=     np.array(snake_case		)
											assert isinstance(snake_case		,	np.ndarray		)
											snake_case_					:Optional[int]		=     np.prod(boxes[:, 2:] - boxes[:, :2]		,	axis=1		)
											snake_case_					:Optional[int]		=     np.argsort(-areas		).tolist()
											snake_case_					:int		=     boxes[sorted_idxs] if boxes is not None else None
											snake_case_					:Optional[int]		=     obj_ids[sorted_idxs] if obj_ids is not None else None
											snake_case_					:int		=     obj_scores[sorted_idxs] if obj_scores is not None else None
											snake_case_					:str		=     attr_ids[sorted_idxs] if attr_ids is not None else None
											snake_case_					:Any		=     attr_scores[sorted_idxs] if attr_scores is not None else None

											snake_case_					:Union[str, Any]		=     [self._random_color(maximum=1		) for _ in range(len(snake_case		)		)]
											snake_case_					:List[Any]		=     [assigned_colors[idx] for idx in sorted_idxs]
											if obj_ids is not None:
																	snake_case_					:Optional[int]		=     self._create_text_labels_attr(snake_case		,	snake_case		,	snake_case		,	snake_case		)
																	for i in range(len(snake_case		)		):
																							snake_case_					:Any		=     assigned_colors[i]
																							self.add_box(boxes[i]		,	snake_case		)
																							self.draw_labels(labels[i]		,	boxes[i]		,	snake_case		)






					def   lowerCAmelCase_							(			self:				Any		,	snake_case:				Dict		,	snake_case:				str		,	snake_case:				Any		)  ->      Union[str, Any]:
											snake_case_,			snake_case_,			snake_case_,			snake_case_					:Optional[int]		=     box
											snake_case_					:Dict		=     (xa, ya)
											snake_case_					:Union[str, Any]		=     (ya - ya) * (xa - xa)
											snake_case_					:Optional[Any]		=     _SMALL_OBJ * self.scale
											if instance_area < small or ya - ya < 40 * self.scale:
																	if ya >= self.height - 5:
																							snake_case_					:str		=     (xa, ya)
																	else:
																							snake_case_					:Any		=     (xa, ya)

											snake_case_					:Optional[Any]		=     (ya - ya) / np.sqrt(self.height * self.width		)
											snake_case_					:Dict		=     self._change_color_brightness(snake_case		,	brightness_factor=0.7		)
											snake_case_					:List[Any]		=     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=snake_case		,	position=snake_case		,	color=snake_case		,	)






					def   lowerCAmelCase_							(			self:				List[str]		,	snake_case:				Union[str, Any]		,	snake_case:				Optional[int]		,	snake_case:				Union[str, Any]="g"		,	snake_case:				Tuple="left"		,	)  ->      str:
											snake_case_					:Optional[Any]		=     0
											snake_case_					:Union[str, Any]		=     self.font_size
											snake_case_					:Any		=     np.maximum(list(mplc.to_rgb(snake_case		)		)		,	0.2		)
											snake_case_					:Optional[Any]		=     max(0.8		,	np.max(snake_case		)		)
											snake_case_					:List[str]		=     {
											    """facecolor""": """black""",
											    """alpha""": self.alpha,
											    """pad""": self.pad,
											    """edgecolor""": """none""",
											}
											snake_case_,			snake_case_					:Optional[int]		=     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:				Union[str, Any]		,	snake_case:				Tuple=None		)  ->      Dict:
											if saveas is None:
																	snake_case_					:int		=     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:				str		,	snake_case:				List[Any]		,	snake_case:				Dict		,	snake_case:				Any		,	snake_case:				Tuple		)  ->      Dict:
											snake_case_					:int		=     [self.idaobj[i] for i in classes]
											snake_case_					:List[str]		=     [self.idaattr[i] for i in attr_classes]
											snake_case_					:List[str]		=     [
											    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:				Dict		,	snake_case:				Any		,	snake_case:				Dict		)  ->      Tuple:
											snake_case_					:Union[str, Any]		=     [self.idaobj[i] for i in classes]
											if scores is not None:
																	if labels is None:
																							snake_case_					:List[Any]		=     ["""{:.0f}%""".format(s * 100		) for s in scores]
																	else:
																							snake_case_					:Tuple		=     ["""{} {:.0f}%""".format(snake_case		,	s * 100		) for li, s in zip(snake_case		,	snake_case		)]
											return labels






					def   lowerCAmelCase_							(			self:				str		,	snake_case:				str=255		)  ->      List[str]:
											snake_case_					:Optional[Any]		=     np.random.randint(0		,	len(_COLORS		)		)
											snake_case_					:int		=     _COLORS[idx] * maximum
											if not self.rgb:
																	snake_case_					:List[Any]		=     ret[::-1]
											return ret






					def   lowerCAmelCase_							(			self:				Optional[int]		)  ->      Union[str, Any]:
											if not self.pynb:
																	snake_case_,			snake_case_					:str		=     self.canvas.print_to_buffer()
																	if (width, height) != (self.width, self.height):
																							snake_case_					:Optional[int]		=     cva.resize(self.img		,	(width, height)		)
																	else:
																							snake_case_					:List[Any]		=     self.img
											else:
																	snake_case_					:List[Any]		=     io.BytesIO()  # works for cairo backend
																	self.canvas.print_rgba(snake_case		)
																	snake_case_,			snake_case_					:Tuple		=     self.width, self.height
																	snake_case_					:Any		=     buf.getvalue()
																	snake_case_					:List[str]		=     self.img

											snake_case_					:Optional[int]		=     np.frombuffer(snake_case		,	dtype="""uint8"""		)
											snake_case_					:Optional[Any]		=     buffer.reshape(snake_case		,	snake_case		,	4		)
											snake_case_,			snake_case_					:Tuple		=     np.split(snake_case		,	[3]		,	axis=2		)

											try:
																	import numexpr as ne  # fuse them with numexpr

																	snake_case_					:Any		=     ne.evaluate("""img * (1 - alpha / 255.0) + rgb * (alpha / 255.0)"""		)
											except ImportError:
																	snake_case_					:Union[str, Any]		=     alpha.astype("""float32"""		) / 2_5_5.0
																	snake_case_					:int		=     img * (1 - alpha) + rgb * alpha

											return visualized_image.astype("""uint8"""		)






					def   lowerCAmelCase_							(			self:				Optional[Any]		,	snake_case:				int		,	snake_case:				Optional[Any]		)  ->      Tuple:
											assert brightness_factor >= -1.0 and brightness_factor <= 1.0
											snake_case_					:int		=     mplc.to_rgb(snake_case		)
											snake_case_					:List[Any]		=     colorsys.rgb_to_hls(*mplc.to_rgb(snake_case		)		)
											snake_case_					:Optional[Any]		=     polygon_color[1] + (brightness_factor * polygon_color[1])
											snake_case_					:List[str]		=     0.0 if modified_lightness < 0.0 else modified_lightness
											snake_case_					:Dict		=     1.0 if modified_lightness > 1.0 else modified_lightness
											snake_case_					:int		=     colorsys.hls_to_rgb(polygon_color[0]		,	snake_case		,	polygon_color[2]		)
											return modified_color

__a           =							(
    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,
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    )
    .astype(np.floataa)
    .reshape(-1, 3)
)
