



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}""")





#
# Sort large text files in a minimum amount of memory
#
import argparse
import os






class 				SCREAMING_SNAKE_CASE     :
							__lowerCamelCase		:		Tuple      ='block_{0}.dat'





							def __init__(				self						:						int ,			__lowercase						:						Dict		):

											'''simple docstring'''
											__a					       =						filename
											__a					       =						[]





							def   UpperCamelCase_   (				self						:						int ,			__lowercase						:						Dict ,			__lowercase						:						Optional[Any]		):

											'''simple docstring'''
											__a					       =						self.BLOCK_FILENAME_FORMAT.format(__lowercase		)
											with open(__lowercase ,			"""w"""		) as file:
															file.write(__lowercase		)
											self.block_filenames.append(__lowercase		)





							def   UpperCamelCase_   (				self						:						List[str]		):

											'''simple docstring'''
											return self.block_filenames





							def   UpperCamelCase_   (				self						:						Any ,			__lowercase						:						str ,			__lowercase						:						Tuple=None		):

											'''simple docstring'''
											__a					       =						0
											with open(self.filename		) as file:
															while True:
																			__a					       =						file.readlines(__lowercase		)

																			if lines == []:
																							break

																			if sort_key is None:
																							lines.sort()
																			else:
																							lines.sort(key=__lowercase		)

																			self.write_block("""""".join(__lowercase		) ,			__lowercase		)
																			i += 1







							def   UpperCamelCase_   (				self						:						List[Any]		):

											'''simple docstring'''
											map(os.remove ,			self.block_filenames		)






class 				SCREAMING_SNAKE_CASE     :





							def   UpperCamelCase_   (				self						:						Dict ,			__lowercase						:						Optional[Any]		):

											'''simple docstring'''
											__a					       =						-1
											__a					       =						None

											for i in range(len(__lowercase		)		):
															if min_str is None or choices[i] < min_str:
																			__a					       =						i

											return min_index






class 				SCREAMING_SNAKE_CASE     :





							def __init__(				self						:						Optional[int] ,			__lowercase						:						Optional[Any]		):

											'''simple docstring'''
											__a					       =						files
											__a					       =						set()
											__a					       =						len(__lowercase		)
											__a					       =						{i: None for i in range(self.num_buffers		)}





							def   UpperCamelCase_   (				self						:						int		):

											'''simple docstring'''
											return {
											    i: self.buffers[i] for i in range(self.num_buffers		) if i not in self.empty
											}





							def   UpperCamelCase_   (				self						:						List[str]		):

											'''simple docstring'''
											for i in range(self.num_buffers		):
															if self.buffers[i] is None and i not in self.empty:
																			__a					       =						self.files[i].readline()

																			if self.buffers[i] == "":
																							self.empty.add(__lowercase		)
																							self.files[i].close()

											if len(self.empty		) == self.num_buffers:
															return False

											return True







							def   UpperCamelCase_   (				self						:						List[str] ,			__lowercase						:						List[Any]		):

											'''simple docstring'''
											__a					       =						self.buffers[index]
											__a					       =						None

											return value






class 				SCREAMING_SNAKE_CASE     :





							def __init__(				self						:						Optional[int] ,			__lowercase						:						Any		):

											'''simple docstring'''
											__a					       =						merge_strategy





							def   UpperCamelCase_   (				self						:						str ,			__lowercase						:						Union[str, Any] ,			__lowercase						:						List[str] ,			__lowercase						:						Dict		):

											'''simple docstring'''
											__a					       =						FilesArray(self.get_file_handles(__lowercase ,			__lowercase		)		)
											with open(__lowercase ,			"""w""" ,			__lowercase		) as outfile:
															while buffers.refresh():
																			__a					       =						self.merge_strategy.select(buffers.get_dict()		)
																			outfile.write(buffers.unshift(__lowercase		)		)







							def   UpperCamelCase_   (				self						:						List[Any] ,			__lowercase						:						str ,			__lowercase						:						Dict		):

											'''simple docstring'''
											__a					       =						{}

											for i in range(len(__lowercase		)		):
															__a					       =						open(filenames[i] ,			"""r""" ,			__lowercase		)  # noqa: UP015

											return files






class 				SCREAMING_SNAKE_CASE     :





							def __init__(				self						:						str ,			__lowercase						:						Tuple		):

											'''simple docstring'''
											__a					       =						block_size





							def   UpperCamelCase_   (				self						:						Tuple ,			__lowercase						:						str ,			__lowercase						:						Union[str, Any]=None		):

											'''simple docstring'''
											__a					       =						self.get_number_blocks(__lowercase ,			self.block_size		)
											__a					       =						FileSplitter(__lowercase		)
											splitter.split(self.block_size ,			__lowercase		)

											__a					       =						FileMerger(NWayMerge()		)
											__a					       =						self.block_size / (num_blocks + 1)
											merger.merge(splitter.get_block_filenames() ,			filename + """.out""" ,			__lowercase		)

											splitter.cleanup()







							def   UpperCamelCase_   (				self						:						str ,			__lowercase						:						Optional[Any] ,			__lowercase						:						Dict		):

											'''simple docstring'''
											return (os.stat(__lowercase		).st_size / block_size) + 1



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







				if string[-1].lower() == "k":
								return int(string[:-1]      ) * 1024
				elif string[-1].lower() == "m":
								return int(string[:-1]      ) * 1024 * 1024
				elif string[-1].lower() == "g":
								return int(string[:-1]      ) * 1024 * 1024 * 1024
				else:
								return int(_SCREAMING_SNAKE_CASE      )

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







				__a					       =						argparse.ArgumentParser()
				parser.add_argument(
				    """-m"""			,       """--mem"""			,       help="""amount of memory to use for sorting"""			,       default="""100M"""      )
				parser.add_argument(
				    """filename"""			,       metavar="""<filename>"""			,       nargs=1			,       help="""name of file to sort"""      )
				__a					       =						parser.parse_args()

				__a					       =						ExternalSort(parse_memory(args.mem      )      )
				sorter.sort(args.filename[0]      )


if __name__ == "__main__":
						main()
