
"""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()

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

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

lowerCAmelCase			=		0
lowerCAmelCase			=		0
lowerCAmelCase			=		0
lowerCAmelCase			=		0






def      lowerCAmelCase_     (	snake_case_	:    str							,					snake_case_	:    str							,					snake_case_	:    Dict							,					snake_case_	:    Tuple    )     ->List[str]:
			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
			lowerCamelCase__			:  List[Any]  =slow.encode(slow.decode(snake_case_    )    )
			lowerCamelCase__			:  Dict  =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      lowerCAmelCase_     (	snake_case_	:    Dict							,					snake_case_	:    Optional[Any]							,					snake_case_	:    Dict    )     ->Union[str, Any]:
			lowerCamelCase__			:  Optional[Any]  =fast.encode_plus(snake_case_    )[0]
			lowerCamelCase__			:  List[str]  =enc.offsets
			lowerCamelCase__ ,       lowerCamelCase__			:  Optional[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_     (	snake_case_	:    str							,					snake_case_	:    Dict							,					snake_case_	:    List[Any]							,					snake_case_	:    Tuple							,					snake_case_	:    Optional[Any]    )     ->List[str]:
			# Encoding can be the same with same result AAA -> A + AA vs AA + A
			# We can check that we use at least exactly the same number of tokens.
			for i, (spm_id, tok_id) in enumerate(zip(snake_case_							,					snake_case_    )    ):
						if spm_id != tok_id:
									break
			lowerCamelCase__			:  str  =i
			for i, (spm_id, tok_id) in enumerate(zip(reversed(snake_case_    )							,					reversed(snake_case_    )    )    ):
						if spm_id != tok_id:
									break
			lowerCamelCase__			:  Optional[Any]  =len(snake_case_    ) - i

			lowerCamelCase__			:  Tuple  =spm_ids[first:last]
			lowerCamelCase__			:  List[str]  =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
						lowerCamelCase__			:  Union[str, Any]  =Counter(spm_ids[first:last]    )
						lowerCamelCase__			:  int  =Counter(tok_ids[first:last]    )

						lowerCamelCase__			:  Optional[int]  ={spm_ for (spm_, si) in spms.items() if toks.get(spm_							,					0    ) == si}
						lowerCamelCase__			:  Any  =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_    )    ):
												lowerCamelCase__			:  Optional[int]  =[
												    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

			lowerCamelCase__			:  str  =fast.decode(spm_ids[:first]    )
			lowerCamelCase__			:  List[str]  =fast.decode(spm_ids[last:]    )
			lowerCamelCase__			:  Tuple  =fast.decode(spm_ids[first:last]    )
			print()
			print(snake_case_    )
			return False






def      lowerCAmelCase_     (	snake_case_	:    Tuple							,					snake_case_	:    Any							,					snake_case_	:    List[Any]    )     ->str:
			global perfect
			global imperfect
			global wrong
			global total

			lowerCamelCase__			:  int  =slow.encode(snake_case_    )
			lowerCamelCase__			:  int  =fast.encode(snake_case_    )

			lowerCamelCase__			:  List[Any]  =False
			total += 1

			if slow_ids != fast_ids:
						if check_details(snake_case_							,					snake_case_							,					snake_case_							,					snake_case_							,					snake_case_    ):
									lowerCamelCase__			:  Optional[Any]  =True
									imperfect += 1
						else:
									wrong += 1
			else:
						perfect += 1

			if total % 1_0_0_0_0 == 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      lowerCAmelCase_     (	snake_case_	:    Tuple							,					snake_case_	:    List[Any]    )     ->Dict:
			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():
														lowerCAmelCase			=		list(slow_class.max_model_input_sizes.keys())
														for checkpoint in checkpoint_names:
																					lowerCAmelCase			=		0
																					lowerCAmelCase			=		0
																					lowerCAmelCase			=		0
																					lowerCAmelCase			=		0

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

"""simple docstring"""


def      lowerCAmelCase_     (	snake_case_	:    str    )     ->int:
			lowerCamelCase__			:  Optional[Any]  =len(snake_case_    )
			lowerCamelCase__			:  Any  =[0] * length
			lowerCamelCase__			:  str  =[[False for i in range(snake_case_    )] for j in range(snake_case_    )]
			for i, c in enumerate(snake_case_    ):
						lowerCamelCase__			:  Optional[Any]  =i
						for j in range(i + 1    ):
									if c == string[j] and (i - j < 2 or is_palindromic[j + 1][i - 1]):
												lowerCamelCase__			:  int  =True
												lowerCamelCase__			:  Tuple  =min(snake_case_							,					0 if j == 0 else (cut[j - 1] + 1)    )
						lowerCamelCase__			:  Any  =mincut
			return cut[length - 1]


if __name__ == "__main__":
							lowerCAmelCase			=		input("""Enter the string: """).strip()
							lowerCAmelCase			=		find_minimum_partitions(s)
							print(f"""Minimum number of partitions required for the '{s}' is {ans}""")