



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__  (							_SCREAMING_SNAKE_CASE    :     int			,       _SCREAMING_SNAKE_CASE    :     Any			,       _SCREAMING_SNAKE_CASE    :     Tuple			,       _SCREAMING_SNAKE_CASE    :     Optional[int]      ):
				"""simple docstring"""







				if spm_diff == list(reversed(_SCREAMING_SNAKE_CASE      )      ):
								# AAA -> AA+A vs A+AA case.
								return True
				elif len(_SCREAMING_SNAKE_CASE      ) == len(_SCREAMING_SNAKE_CASE      ) and fast.decode(_SCREAMING_SNAKE_CASE      ) == fast.decode(_SCREAMING_SNAKE_CASE      ):
								# Second order OK
								# Barrich -> Barr + ich vs Bar + rich
								return True
				__a					       =						slow.encode(slow.decode(_SCREAMING_SNAKE_CASE      )      )
				__a					       =						fast.encode(fast.decode(_SCREAMING_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__  (							_SCREAMING_SNAKE_CASE    :     List[str]			,       _SCREAMING_SNAKE_CASE    :     str			,       _SCREAMING_SNAKE_CASE    :     Any      ):
				"""simple docstring"""







				__a					       =						fast.encode_plus(_SCREAMING_SNAKE_CASE      )[0]
				__a					       =						enc.offsets
				__a       ,   __a					       =						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__  (							_SCREAMING_SNAKE_CASE    :     int			,       _SCREAMING_SNAKE_CASE    :     Dict			,       _SCREAMING_SNAKE_CASE    :     Union[str, Any]			,       _SCREAMING_SNAKE_CASE    :     Optional[Any]			,       _SCREAMING_SNAKE_CASE    :     Dict      ):
				"""simple docstring"""







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

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

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

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

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

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

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

				__a					       =						fast.decode(spm_ids[:first]      )
				__a					       =						fast.decode(spm_ids[last:]      )
				__a					       =						fast.decode(spm_ids[first:last]      )
				print()
				print(_SCREAMING_SNAKE_CASE      )
				return False

def 					lowerCAmelCase__  (							_SCREAMING_SNAKE_CASE    :     Optional[Any]			,       _SCREAMING_SNAKE_CASE    :     Optional[int]			,       _SCREAMING_SNAKE_CASE    :     Any      ):
				"""simple docstring"""







				global perfect
				global imperfect
				global wrong
				global total

				__a					       =						slow.encode(_SCREAMING_SNAKE_CASE      )
				__a					       =						fast.encode(_SCREAMING_SNAKE_CASE      )

				__a					       =						False
				total += 1

				if slow_ids != fast_ids:
								if check_details(_SCREAMING_SNAKE_CASE			,       _SCREAMING_SNAKE_CASE			,       _SCREAMING_SNAKE_CASE			,       _SCREAMING_SNAKE_CASE			,       _SCREAMING_SNAKE_CASE      ):
												__a					       =						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(_SCREAMING_SNAKE_CASE      )}\n{fast.tokenize(_SCREAMING_SNAKE_CASE      )}"

def 					lowerCAmelCase__  (							_SCREAMING_SNAKE_CASE    :     Tuple			,       _SCREAMING_SNAKE_CASE    :     str      ):
				"""simple docstring"""







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

								# hypothesis, all languages
								for text in dataset[i]["hypothesis"]["translation"]:
												test_string(_SCREAMING_SNAKE_CASE			,       _SCREAMING_SNAKE_CASE			,       _SCREAMING_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 * 100 / total:.2f}""")





# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

from pathlib import Path

from .config_args import default_config_file, load_config_from_file
from .config_utils import SubcommandHelpFormatter


lowerCamelCase__     =	"""Update an existing config file with the latest defaults while maintaining the old configuration."""

def 					lowerCAmelCase__  (							_SCREAMING_SNAKE_CASE    :     Tuple      ):
				"""simple docstring"""







				__a					       =						args.config_file
				if config_file is None and Path(_SCREAMING_SNAKE_CASE      ).exists():
								__a					       =						default_config_file
				elif not Path(_SCREAMING_SNAKE_CASE      ).exists():
								raise ValueError(f"The passed config file located at {config_file} doesn't exist."      )
				__a					       =						load_config_from_file(_SCREAMING_SNAKE_CASE      )

				if config_file.endswith(""".json"""      ):
								config.to_json_file(_SCREAMING_SNAKE_CASE      )
				else:
								config.to_yaml_file(_SCREAMING_SNAKE_CASE      )
				return config_file

def 					lowerCAmelCase__  (							_SCREAMING_SNAKE_CASE    :     Optional[Any]			,       _SCREAMING_SNAKE_CASE    :     int      ):
				"""simple docstring"""







				__a					       =						parser.add_parser("""update"""			,       parents=_SCREAMING_SNAKE_CASE			,       help=_SCREAMING_SNAKE_CASE			,       formatter_class=_SCREAMING_SNAKE_CASE      )
				parser.add_argument(
				    """--config_file"""			,       default=_SCREAMING_SNAKE_CASE			,       help=(
				        """The path to the config file to update. Will default to a file named default_config.yaml in the cache """
				        """location, which is the content of the environment `HF_HOME` suffixed with 'accelerate', or if you don't have """
				        """such an environment variable, your cache directory ('~/.cache' or the content of `XDG_CACHE_HOME`) suffixed """
				        """with 'huggingface'."""
				    )			,       )

				parser.set_defaults(func=_SCREAMING_SNAKE_CASE      )
				return parser

def 					lowerCAmelCase__  (							_SCREAMING_SNAKE_CASE    :     Optional[Any]      ):
				"""simple docstring"""







				__a					       =						update_config(_SCREAMING_SNAKE_CASE      )
				print(f"Sucessfully updated the configuration file at {config_file}."      )
