




"""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()

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

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

_lowercase		 =      0
_lowercase		 =      0
_lowercase		 =      0
_lowercase		 =      0

def 						lowerCAmelCase							(	lowerCamelCase ,     lowerCamelCase ,     lowerCamelCase ,     lowerCamelCase						):
						'''simple docstring'''


						if spm_diff == list(reversed(lowerCamelCase						)						):
												# AAA -> AA+A vs A+AA case.
												return True
						elif len(lowerCamelCase						) == len(lowerCamelCase						) and fast.decode(lowerCamelCase						) == fast.decode(lowerCamelCase						):
												# Second order OK
												# Barrich -> Barr + ich vs Bar + rich
												return True
						snake_case__    :   Any							     =   slow.encode(slow.decode(lowerCamelCase						)						)
						snake_case__    :   int							     =   fast.encode(fast.decode(lowerCamelCase						)						)
						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 						lowerCAmelCase							(	lowerCamelCase ,     lowerCamelCase ,     lowerCamelCase						):
						'''simple docstring'''


						snake_case__    :   int							     =   fast.encode_plus(lowerCamelCase						)[0]
						snake_case__    :   List[Any]							     =   enc.offsets
						snake_case__     ,		snake_case__    :   Any							     =   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 						lowerCAmelCase							(	lowerCamelCase ,     lowerCamelCase ,     lowerCamelCase ,     lowerCamelCase ,     lowerCamelCase						):
						'''simple docstring'''


						for i, (spm_id, tok_id) in enumerate(zip(lowerCamelCase ,     lowerCamelCase						)						):
												if spm_id != tok_id:
																		break
						snake_case__    :   List[Any]							     =   i
						for i, (spm_id, tok_id) in enumerate(zip(reversed(lowerCamelCase						) ,     reversed(lowerCamelCase						)						)						):
												if spm_id != tok_id:
																		break
						snake_case__    :   List[Any]							     =   len(lowerCamelCase						) - i

						snake_case__    :   Union[str, Any]							     =   spm_ids[first:last]
						snake_case__    :   Optional[Any]							     =   tok_ids[first:last]

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

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

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

												snake_case__    :   Optional[int]							     =   {spm_ for (spm_, si) in spms.items() if toks.get(spm_ ,     0						) == si}
												snake_case__    :   Optional[int]							     =   3
												for i in range(last - first - min_width						):
																		if all(spm_ids[first + i + j] in removable_tokens for j in range(lowerCamelCase						)						):
																								snake_case__    :   List[Any]							     =   [
																								    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] ,     lowerCamelCase ,     lowerCamelCase						) and check_details(
																														    lowerCamelCase ,     spm_ids[first + i : last] ,     tok_ids[first + j : last] ,     lowerCamelCase ,     lowerCamelCase ,     ):
																																				return True

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

						snake_case__    :   int							     =   fast.decode(spm_ids[:first]						)
						snake_case__    :   List[Any]							     =   fast.decode(spm_ids[last:]						)
						snake_case__    :   str							     =   fast.decode(spm_ids[first:last]						)
						print()
						print(lowerCamelCase						)
						return False

def 						lowerCAmelCase							(	lowerCamelCase ,     lowerCamelCase ,     lowerCamelCase						):
						'''simple docstring'''


						global perfect
						global imperfect
						global wrong
						global total

						snake_case__    :   List[Any]							     =   slow.encode(lowerCamelCase						)
						snake_case__    :   List[Any]							     =   fast.encode(lowerCamelCase						)

						snake_case__    :   Union[str, Any]							     =   False
						total += 1

						if slow_ids != fast_ids:
												if check_details(lowerCamelCase ,     lowerCamelCase ,     lowerCamelCase ,     lowerCamelCase ,     lowerCamelCase						):
																		snake_case__    :   Dict							     =   True
																		imperfect += 1
												else:
																		wrong += 1
						else:
												perfect += 1

						if total % 10000 == 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(lowerCamelCase						)}\n{fast.tokenize(lowerCamelCase						)}'''

def 						lowerCAmelCase							(	lowerCamelCase ,     lowerCamelCase						):
						'''simple docstring'''


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

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


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

																					print(f"""========================== Checking {name}: {checkpoint} ==========================""")
																					_lowercase		 =      slow_class.from_pretrained(checkpoint, force_download=True)
																					_lowercase		 =      fast_class.from_pretrained(checkpoint, force_download=True)
																					test_tokenizer(slow, fast)
																					print(f"""Accuracy {perfect * 1_00 / total:.2f}""")








"""simple docstring"""





from __future__ import annotations

from collections.abc import Iterator
from typing import Any

class  __lowercase    :


				'''simple docstring'''


				def __init__(				self				:       List[Any] ,SCREAMING_SNAKE_CASE_				:       Any ):
										snake_case__    :   Any							     =   data
										snake_case__    :   Node | None							     =   None





				def __str__(				self				:       Union[str, Any] ):
										return F'''{self.data}'''







class  __lowercase    :


				'''simple docstring'''


				def __init__(				self				:       Optional[int] ):
										snake_case__    :   Node | None							     =   None
										snake_case__    :   Node | None							     =   None

				def __iter__(				self				:       Optional[int] ):
										snake_case__    :   Optional[int]							     =   self.front
										while node:
																yield node.data
																snake_case__    :   Optional[int]							     =   node.next

				def __len__(				self				:       Any ):
										return len(tuple(iter(self ) ) )

				def __str__(				self				:       Union[str, Any] ):
										return " <- ".join(str(SCREAMING_SNAKE_CASE_ ) for item in self )

				def  _lowerCamelCase   (				self				:       List[str] ):
										return len(self ) == 0

				def  _lowerCamelCase   (				self				:       Optional[int] ,SCREAMING_SNAKE_CASE_				:       Any ):
										snake_case__    :   int							     =   Node(SCREAMING_SNAKE_CASE_ )
										if self.is_empty():
																snake_case__    :   List[Any]							     =   node
										else:
																assert isinstance(self.rear ,SCREAMING_SNAKE_CASE_ )
																snake_case__    :   Union[str, Any]							     =   node
																snake_case__    :   int							     =   node

				def  _lowerCamelCase   (				self				:       int ):
										if self.is_empty():
																raise IndexError('''dequeue from empty queue''' )
										assert isinstance(self.front ,SCREAMING_SNAKE_CASE_ )
										snake_case__    :   List[str]							     =   self.front
										snake_case__    :   str							     =   self.front.next
										if self.front is None:
																snake_case__    :   Optional[Any]							     =   None
										return node.data





				def  _lowerCamelCase   (				self				:       Optional[int] ):
										snake_case__    :   Optional[Any]							     =   None


if __name__ == "__main__":
							from doctest import testmod

							testmod()


