






"""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     			=  1000







class 					lowerCamelCase__					:






    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	,):
          if isinstance(A	,torch.Tensor					):
                UpperCAmelCase							=       img.numpy().astype("""np.uint8"""					)
          if isinstance(A	,A					):
                UpperCAmelCase							=       img_tensorize(A					)
          assert isinstance(A	,np.ndarray					)

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

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






    def 				_UpperCamelCase							( self	,A	,A=None					):
          if color is None:
                UpperCAmelCase							=       self.edgecolor
          ((UpperCAmelCase)			,					(UpperCAmelCase)			,					(UpperCAmelCase)			,					(UpperCAmelCase))							=       box
          UpperCAmelCase							=       xa - xa
          UpperCAmelCase							=       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					):
          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(A	,torch.Tensor					):
                UpperCAmelCase							=       boxes.numpy()
          if isinstance(A	,A					):
                UpperCAmelCase							=       np.array(A					)
          assert isinstance(A	,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(A					)					)]
          UpperCAmelCase							=       [assigned_colors[idx] for idx in sorted_idxs]
          if obj_ids is not None:
                UpperCAmelCase							=       self._create_text_labels_attr(A	,A	,A	,A					)
                for i in range(len(A					)					):
                      UpperCAmelCase							=       assigned_colors[i]
                      self.add_box(boxes[i]	,A					)
                      self.draw_labels(labels[i]	,boxes[i]	,A					)






    def 				_UpperCamelCase							( self	,A	,A	,A					):
          UpperCAmelCase			,					UpperCAmelCase			,					UpperCAmelCase			,					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(A	,brightness_factor=0.7					)
          UpperCAmelCase							=       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"	,):
          UpperCAmelCase							=       0
          UpperCAmelCase							=       self.font_size
          UpperCAmelCase							=       np.maximum(list(mplc.to_rgb(A					)					)	,0.2					)
          UpperCAmelCase							=       max(0.8	,np.max(A					)					)
          UpperCAmelCase							=       {
              """facecolor""": """black""",
              """alpha""": self.alpha,
              """pad""": self.pad,
              """edgecolor""": """none""",
          }
          UpperCAmelCase			,					UpperCAmelCase							=       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					):
          if saveas is None:
                UpperCAmelCase							=       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					):
          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(A	,A	,A	,A					)
          ]
          return labels






    def 				_UpperCamelCase							( self	,A	,A					):
          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(A	,s * 100					) for li, s in zip(A	,A					)]
          return labels






    def 				_UpperCamelCase							( self	,A=255					):
          UpperCAmelCase							=       np.random.randint(0	,len(_COLORS					)					)
          UpperCAmelCase							=       _COLORS[idx] * maximum
          if not self.rgb:
                UpperCAmelCase							=       ret[::-1]
          return ret






    def 				_UpperCamelCase							( self					):
          if not self.pynb:
                UpperCAmelCase			,					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(A					)
                UpperCAmelCase			,					UpperCAmelCase							=       self.width, self.height
                UpperCAmelCase							=       buf.getvalue()
                UpperCAmelCase							=       self.img

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







_UpperCamelCase     			=  (
    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"""







from collections import Counter
import datasets
import transformers
from transformers.convert_slow_tokenizer import SLOW_TO_FAST_CONVERTERS

from transformers.utils import logging

logging.set_verbosity_info()

_UpperCamelCase     			=  {
    name: (getattr(transformers, name), getattr(transformers, name + """Fast""")) for name in SLOW_TO_FAST_CONVERTERS
}

_UpperCamelCase     			=  datasets.load_dataset("""xnli""", split="""test+validation""")

_UpperCamelCase     			=  0
_UpperCamelCase     			=  0
_UpperCamelCase     			=  0
_UpperCamelCase     			=  0

def _a (		_snake_case      ,       _snake_case      ,       _snake_case      ,       _snake_case							):







      """simple docstring"""






      if spm_diff == list(reversed(_snake_case							)							):
            # AAA -> AA+A vs A+AA case.
            return True
      elif len(_snake_case							) == len(_snake_case							) and fast.decode(_snake_case							) == fast.decode(_snake_case							):
            # Second order OK
            # Barrich -> Barr + ich vs Bar + rich
            return True
      UpperCAmelCase							=       slow.encode(slow.decode(_snake_case							)							)
      UpperCAmelCase							=       fast.encode(fast.decode(_snake_case							)							)
      if spm_reencoded != spm_diff and spm_reencoded == tok_reencoded:
            # Type 3 error.
            # Snehagatha ->
            #       Sne, h, aga, th, a
            #       Sne, ha, gat, ha
            # Encoding the wrong with sp does not even recover what spm gave us
            # It fits tokenizer however...
            return True
      return False

def _a (		_snake_case      ,       _snake_case      ,       _snake_case							):







      """simple docstring"""






      UpperCAmelCase							=       fast.encode_plus(_snake_case							)[0]
      UpperCAmelCase							=       enc.offsets
      UpperCAmelCase			,					UpperCAmelCase							=       offsets[idx], offsets[idx - 1]
      if curr is not None and line[curr[0] : curr[1]] == "\u200f":
            return True
      if prev is not None and line[prev[0] : prev[1]] == "\u200f":
            return True

def _a (		_snake_case      ,       _snake_case      ,       _snake_case      ,       _snake_case      ,       _snake_case							):







      """simple docstring"""






      for i, (spm_id, tok_id) in enumerate(zip(_snake_case      ,       _snake_case							)							):
            if spm_id != tok_id:
                  break
      UpperCAmelCase							=       i
      for i, (spm_id, tok_id) in enumerate(zip(reversed(_snake_case							)      ,       reversed(_snake_case							)							)							):
            if spm_id != tok_id:
                  break
      UpperCAmelCase							=       len(_snake_case							) - i

      UpperCAmelCase							=       spm_ids[first:last]
      UpperCAmelCase							=       tok_ids[first:last]

      if check_diff(_snake_case      ,       _snake_case      ,       _snake_case      ,       _snake_case							):
            return True

      if check_LTR_mark(_snake_case      ,       _snake_case      ,       _snake_case							):
            return True

      if last - first > 5:
            # We might have twice a single problem, attempt to subdivide the disjointed tokens into smaller problems
            UpperCAmelCase							=       Counter(spm_ids[first:last]							)
            UpperCAmelCase							=       Counter(tok_ids[first:last]							)

            UpperCAmelCase							=       {spm_ for (spm_, si) in spms.items() if toks.get(spm_      ,       0							) == si}
            UpperCAmelCase							=       3
            for i in range(last - first - min_width							):
                  if all(spm_ids[first + i + j] in removable_tokens for j in range(_snake_case							)							):
                        UpperCAmelCase							=       [
                            k
                            for k in range(last - first - min_width							)
                            if tok_ids[first + k : first + k + min_width] == spm_ids[first + i : first + i + min_width]
                        ]
                        for j in possible_matches:
                              if check_diff(spm_ids[first : first + i]      ,       tok_ids[first : first + j]      ,       _snake_case      ,       _snake_case							) and check_details(
                                  _snake_case      ,       spm_ids[first + i : last]      ,       tok_ids[first + j : last]      ,       _snake_case      ,       _snake_case      ,       ):
                                    return True

      print(F'''Spm: {[fast.decode([spm_ids[i]]							) for i in range(_snake_case      ,       _snake_case							)]}'''							)
      try:
            print(F'''Tok: {[fast.decode([tok_ids[i]]							) for i in range(_snake_case      ,       _snake_case							)]}'''							)
      except Exception:
            pass

      UpperCAmelCase							=       fast.decode(spm_ids[:first]							)
      UpperCAmelCase							=       fast.decode(spm_ids[last:]							)
      UpperCAmelCase							=       fast.decode(spm_ids[first:last]							)
      print()
      print(_snake_case							)
      return False

def _a (		_snake_case      ,       _snake_case      ,       _snake_case							):







      """simple docstring"""






      global perfect
      global imperfect
      global wrong
      global total

      UpperCAmelCase							=       slow.encode(_snake_case							)
      UpperCAmelCase							=       fast.encode(_snake_case							)

      UpperCAmelCase							=       False
      total += 1

      if slow_ids != fast_ids:
            if check_details(_snake_case      ,       _snake_case      ,       _snake_case      ,       _snake_case      ,       _snake_case							):
                  UpperCAmelCase							=       True
                  imperfect += 1
            else:
                  wrong += 1
      else:
            perfect += 1

      if total % 1_0000 == 0:
            print(F'''({perfect} / {imperfect} / {wrong} ----- {perfect + imperfect + wrong})'''							)

      if skip_assert:
            return

      assert (
          slow_ids == fast_ids
      ), F'''line {text} : \n\n{slow_ids}\n{fast_ids}\n\n{slow.tokenize(_snake_case							)}\n{fast.tokenize(_snake_case							)}'''

def _a (		_snake_case      ,       _snake_case							):







      """simple docstring"""






      global batch_total
      for i in range(len(_snake_case							)							):
            # premise, all languages
            for text in dataset[i]["premise"].values():
                  test_string(_snake_case      ,       _snake_case      ,       _snake_case							)

            # hypothesis, all languages
            for text in dataset[i]["hypothesis"]["translation"]:
                  test_string(_snake_case      ,       _snake_case      ,       _snake_case							)


if __name__ == "__main__":
  for name, (slow_class, fast_class) in TOKENIZER_CLASSES.items():
    _UpperCamelCase     			=  list(slow_class.max_model_input_sizes.keys())
    for checkpoint in checkpoint_names:
      _UpperCamelCase     			=  0
      _UpperCamelCase     			=  0
      _UpperCamelCase     			=  0
      _UpperCamelCase     			=  0

      print(F"""========================== Checking {name}: {checkpoint} ==========================""")
      _UpperCamelCase     			=  slow_class.from_pretrained(checkpoint, force_download=True)
      _UpperCamelCase     			=  fast_class.from_pretrained(checkpoint, force_download=True)
      test_tokenizer(slow, fast)
      print(F"""Accuracy {perfect * 100 / total:.2f}""")



