





"""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


SCREAMING_SNAKE_CASE__ =       1_000

class 		lowercase :





      def __init__(	self				,						lowercase				,						lowercase=1.2				,						lowercase="g"				,						lowercase=0.5				,						lowercase="-"				,						lowercase="test_out.jpg"				,						lowercase=True				,						lowercase=False				,						lowercase=None				,						lowercase=None				,						lowercase=0.7				,						)		->					List[str]:
            if isinstance(lowercase				,						torch.Tensor			):
                  lowerCAmelCase  						=	img.numpy().astype("""np.uint8"""			)
            if isinstance(lowercase				,						lowercase			):
                  lowerCAmelCase  						=	img_tensorize(lowercase			)
            assert isinstance(lowercase				,						np.ndarray			)

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

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





      def    _snake_case      (	self				,						lowercase				,						lowercase=None			)		->					List[str]:
            if color is None:
                  lowerCAmelCase  						=	self.edgecolor
            ((lowerCAmelCase)						,		(lowerCAmelCase)						,		(lowerCAmelCase)						,		(lowerCAmelCase))  						=	box
            lowerCAmelCase  						=	xa - xa
            lowerCAmelCase  						=	ya - ya
            self.ax.add_patch(
                mpl.patches.Rectangle(
                    (xa, ya)				,						lowercase				,						lowercase				,						fill=lowercase				,						edgecolor=lowercase				,						linewidth=self.font_size // 3				,						alpha=self.alpha				,						linestyle=self.linestyle				,						)			)





      def    _snake_case      (	self				,						lowercase				,						lowercase=None				,						lowercase=None				,						lowercase=None				,						lowercase=None			)		->					List[Any]:
            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(lowercase				,						torch.Tensor			):
                  lowerCAmelCase  						=	boxes.numpy()
            if isinstance(lowercase				,						lowercase			):
                  lowerCAmelCase  						=	np.array(lowercase			)
            assert isinstance(lowercase				,						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(lowercase			)			)]
            lowerCAmelCase  						=	[assigned_colors[idx] for idx in sorted_idxs]
            if obj_ids is not None:
                  lowerCAmelCase  						=	self._create_text_labels_attr(lowercase				,						lowercase				,						lowercase				,						lowercase			)
                  for i in range(len(lowercase			)			):
                        lowerCAmelCase  						=	assigned_colors[i]
                        self.add_box(boxes[i]				,						lowercase			)
                        self.draw_labels(labels[i]				,						boxes[i]				,						lowercase			)





      def    _snake_case      (	self				,						lowercase				,						lowercase				,						lowercase			)		->					Optional[Any]:
            lowerCAmelCase						,		lowerCAmelCase						,		lowerCAmelCase						,		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(lowercase				,						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=lowercase				,						position=lowercase				,						color=lowercase				,						)





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





      def    _snake_case      (	self				,						lowercase=None			)		->					Optional[int]:
            if saveas is None:
                  lowerCAmelCase  						=	self.saveas
            if saveas.lower().endswith(""".jpg"""			) or saveas.lower().endswith(""".png"""			):
                  cva.imwrite(
                      lowercase				,						self._get_buffer()[:, :, ::-1]				,						)
            else:
                  self.fig.savefig(lowercase			)





      def    _snake_case      (	self				,						lowercase				,						lowercase				,						lowercase				,						lowercase			)		->					Union[str, Any]:
            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(lowercase				,						lowercase				,						lowercase				,						lowercase			)
            ]
            return labels





      def    _snake_case      (	self				,						lowercase				,						lowercase			)		->					Any:
            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(lowercase				,						s * 100			) for li, s in zip(lowercase				,						lowercase			)]
            return labels





      def    _snake_case      (	self				,						lowercase=255			)		->					Optional[int]:
            lowerCAmelCase  						=	np.random.randint(0				,						len(_COLORS			)			)
            lowerCAmelCase  						=	_COLORS[idx] * maximum
            if not self.rgb:
                  lowerCAmelCase  						=	ret[::-1]
            return ret





      def    _snake_case      (	self			)		->					List[Any]:
            if not self.pynb:
                  lowerCAmelCase						,		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(lowercase			)
                  lowerCAmelCase						,		lowerCAmelCase  						=	self.width, self.height
                  lowerCAmelCase  						=	buf.getvalue()
                  lowerCAmelCase  						=	self.img

            lowerCAmelCase  						=	np.frombuffer(lowercase				,						dtype="""uint8"""			)
            lowerCAmelCase  						=	buffer.reshape(lowercase				,						lowercase				,						4			)
            lowerCAmelCase						,		lowerCAmelCase  						=	np.split(lowercase				,						[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    _snake_case      (	self				,						lowercase				,						lowercase			)		->					List[Any]:
            assert brightness_factor >= -1.0 and brightness_factor <= 1.0
            lowerCAmelCase  						=	mplc.to_rgb(lowercase			)
            lowerCAmelCase  						=	colorsys.rgb_to_hls(*mplc.to_rgb(lowercase			)			)
            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]				,						lowercase				,						polygon_color[2]			)
            return modified_color







SCREAMING_SNAKE_CASE__ =       (
    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"""





import argparse
import json
import re
import string
import sys
from collections import Counter


def       UpperCAmelCase__							(  SCREAMING_SNAKE_CASE					:						List[Any]      ):







      '''simple docstring'''




      def remove_articles(SCREAMING_SNAKE_CASE					:						int      ):
            return re.sub(R"""\b(a|an|the)\b"""							,						""" """							,						SCREAMING_SNAKE_CASE      )

      def white_space_fix(SCREAMING_SNAKE_CASE					:						int      ):
            return " ".join(text.split()      )

      def remove_punc(SCREAMING_SNAKE_CASE					:						Union[str, Any]      ):
            lowerCAmelCase  						=	set(string.punctuation      )
            return "".join(ch for ch in text if ch not in exclude      )

      def lower(SCREAMING_SNAKE_CASE					:						Optional[Any]      ):
            return text.lower()

      return white_space_fix(remove_articles(remove_punc(lower(SCREAMING_SNAKE_CASE      )      )      )      )


def       UpperCAmelCase__							(  SCREAMING_SNAKE_CASE					:						Union[str, Any]							,						SCREAMING_SNAKE_CASE					:						Optional[int]      ):







      '''simple docstring'''




      lowerCAmelCase  						=	normalize_answer(SCREAMING_SNAKE_CASE      ).split()
      lowerCAmelCase  						=	normalize_answer(SCREAMING_SNAKE_CASE      ).split()
      lowerCAmelCase  						=	Counter(SCREAMING_SNAKE_CASE      ) & Counter(SCREAMING_SNAKE_CASE      )
      lowerCAmelCase  						=	sum(common.values()      )
      if num_same == 0:
            return 0
      lowerCAmelCase  						=	1.0 * num_same / len(SCREAMING_SNAKE_CASE      )
      lowerCAmelCase  						=	1.0 * num_same / len(SCREAMING_SNAKE_CASE      )
      lowerCAmelCase  						=	(2 * precision * recall) / (precision + recall)
      return fa


def       UpperCAmelCase__							(  SCREAMING_SNAKE_CASE					:						Tuple							,						SCREAMING_SNAKE_CASE					:						Tuple      ):







      '''simple docstring'''




      return normalize_answer(SCREAMING_SNAKE_CASE      ) == normalize_answer(SCREAMING_SNAKE_CASE      )


def       UpperCAmelCase__							(  SCREAMING_SNAKE_CASE					:						List[Any]							,						SCREAMING_SNAKE_CASE					:						Any							,						SCREAMING_SNAKE_CASE					:						str      ):







      '''simple docstring'''




      lowerCAmelCase  						=	[]
      for ground_truth in ground_truths:
            lowerCAmelCase  						=	metric_fn(SCREAMING_SNAKE_CASE							,						SCREAMING_SNAKE_CASE      )
            scores_for_ground_truths.append(SCREAMING_SNAKE_CASE      )
      return max(SCREAMING_SNAKE_CASE      )


def       UpperCAmelCase__							(  SCREAMING_SNAKE_CASE					:						Optional[int]							,						SCREAMING_SNAKE_CASE					:						Dict      ):







      '''simple docstring'''




      lowerCAmelCase  						=	lowerCAmelCase  						=	lowerCAmelCase  						=	0
      for article in dataset:
            for paragraph in article["paragraphs"]:
                  for qa in paragraph["qas"]:
                        total += 1
                        if qa["id"] not in predictions:
                              lowerCAmelCase  						=	"""Unanswered question """ + qa["""id"""] + """ will receive score 0."""
                              print(SCREAMING_SNAKE_CASE							,						file=sys.stderr      )
                              continue
                        lowerCAmelCase  						=	[x["""text"""] for x in qa["""answers"""]]
                        lowerCAmelCase  						=	predictions[qa["""id"""]]
                        exact_match += metric_max_over_ground_truths(SCREAMING_SNAKE_CASE							,						SCREAMING_SNAKE_CASE							,						SCREAMING_SNAKE_CASE      )
                        fa += metric_max_over_ground_truths(SCREAMING_SNAKE_CASE							,						SCREAMING_SNAKE_CASE							,						SCREAMING_SNAKE_CASE      )

      lowerCAmelCase  						=	1_00.0 * exact_match / total
      lowerCAmelCase  						=	1_00.0 * fa / total

      return {"exact_match": exact_match, "f1": fa}


if __name__ == "__main__":
       SCREAMING_SNAKE_CASE__ =       "1.1"
       SCREAMING_SNAKE_CASE__ =       argparse.ArgumentParser(description="Evaluation for SQuAD " + expected_version)
       parser.add_argument("dataset_file", help="Dataset file")
       parser.add_argument("prediction_file", help="Prediction File")
       SCREAMING_SNAKE_CASE__ =       parser.parse_args()
       with open(args.dataset_file) as dataset_file:
              SCREAMING_SNAKE_CASE__ =       json.load(dataset_file)
              if dataset_json["version"] != expected_version:
                     print(
                         "Evaluation expects v-" + expected_version + ", but got dataset with v-" + dataset_json["version"],
                         file=sys.stderr,
                     )
              SCREAMING_SNAKE_CASE__ =       dataset_json["data"]
       with open(args.prediction_file) as prediction_file:
              SCREAMING_SNAKE_CASE__ =       json.load(prediction_file)
       print(json.dumps(evaluate(dataset, predictions)))






