



import json
import os
import re
import unicodedata
from typing import Dict, List, Optional, Tuple

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


_lowercase:					Any      =						logging.get_logger(__name__)

_lowercase:					str      =						{
    "src_vocab_file": "vocab-src.json",
    "tgt_vocab_file": "vocab-tgt.json",
    "merges_file": "merges.txt",
}

_lowercase:					Optional[int]      =						{
    "src_vocab_file": {
        "stas/tiny-wmt19-en-de": "https://huggingface.co/stas/tiny-wmt19-en-de/resolve/main/vocab-src.json"
    },
    "tgt_vocab_file": {
        "stas/tiny-wmt19-en-de": "https://huggingface.co/stas/tiny-wmt19-en-de/resolve/main/vocab-tgt.json"
    },
    "merges_file": {"stas/tiny-wmt19-en-de": "https://huggingface.co/stas/tiny-wmt19-en-de/resolve/main/merges.txt"},
}

_lowercase:					int      =						{"stas/tiny-wmt19-en-de": 1024}
_lowercase:					Optional[int]      =						{
    "stas/tiny-wmt19-en-de": {
        "langs": ["en", "de"],
        "model_max_length": 1024,
        "special_tokens_map_file": None,
        "full_tokenizer_file": None,
    }
}






def        a( A			:       Union[str, Any]			)						->			Dict:
					"""simple docstring"""





					a   	=  set()
					a   	=  word[0]
					for char in word[1:]:
										pairs.add((prev_char, char)			)
										a   	=  char
					return pairs






def        a( A			:       str			)						->			Dict:
					"""simple docstring"""





					a   	=  text.replace("，"					,	","			)
					a   	=  re.sub(r"。\s*"					,	". "					,	A			)
					a   	=  text.replace("、"					,	","			)
					a   	=  text.replace("”"					,	"\""			)
					a   	=  text.replace("“"					,	"\""			)
					a   	=  text.replace("∶"					,	":"			)
					a   	=  text.replace("："					,	":"			)
					a   	=  text.replace("？"					,	"?"			)
					a   	=  text.replace("《"					,	"\""			)
					a   	=  text.replace("》"					,	"\""			)
					a   	=  text.replace("）"					,	")"			)
					a   	=  text.replace("！"					,	"!"			)
					a   	=  text.replace("（"					,	"("			)
					a   	=  text.replace("；"					,	";"			)
					a   	=  text.replace("１"					,	"1"			)
					a   	=  text.replace("」"					,	"\""			)
					a   	=  text.replace("「"					,	"\""			)
					a   	=  text.replace("０"					,	"0"			)
					a   	=  text.replace("３"					,	"3"			)
					a   	=  text.replace("２"					,	"2"			)
					a   	=  text.replace("５"					,	"5"			)
					a   	=  text.replace("６"					,	"6"			)
					a   	=  text.replace("９"					,	"9"			)
					a   	=  text.replace("７"					,	"7"			)
					a   	=  text.replace("８"					,	"8"			)
					a   	=  text.replace("４"					,	"4"			)
					a   	=  re.sub(r"．\s*"					,	". "					,	A			)
					a   	=  text.replace("～"					,	"~"			)
					a   	=  text.replace("’"					,	"'"			)
					a   	=  text.replace("…"					,	"..."			)
					a   	=  text.replace("━"					,	"-"			)
					a   	=  text.replace("〈"					,	"<"			)
					a   	=  text.replace("〉"					,	">"			)
					a   	=  text.replace("【"					,	"["			)
					a   	=  text.replace("】"					,	"]"			)
					a   	=  text.replace("％"					,	"%"			)
					return text






def        a( A			:       Tuple			)						->			Union[str, Any]:
					"""simple docstring"""





					a   	=  []
					for char in text:
										a   	=  unicodedata.category(A			)
										if cat.startswith("C"			):
															continue
										output.append(A			)
					return "".join(A			)







class       _lowercase				(  lowerCAmelCase      ):





	"""simple docstring"""
	__A		      =				VOCAB_FILES_NAMES
	__A		      =				PRETRAINED_VOCAB_FILES_MAP
	__A		      =				PRETRAINED_INIT_CONFIGURATION
	__A		      =				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	__A		      =				["input_ids", "attention_mask"]




	def __init__(self						,			lowerCamelCase_=None						,			lowerCamelCase_=None						,			lowerCamelCase_=None						,			lowerCamelCase_=None						,			lowerCamelCase_=False						,			lowerCamelCase_="<unk>"						,			lowerCamelCase_="<s>"						,			lowerCamelCase_="</s>"						,			lowerCamelCase_="<pad>"						,			**lowerCamelCase_						,			):
						"""simple docstring"""

						super().__init__(
						    langs=lowerCamelCase_						,			src_vocab_file=lowerCamelCase_						,			tgt_vocab_file=lowerCamelCase_						,			merges_file=lowerCamelCase_						,			do_lower_case=lowerCamelCase_						,			unk_token=lowerCamelCase_						,			bos_token=lowerCamelCase_						,			sep_token=lowerCamelCase_						,			pad_token=lowerCamelCase_						,			**lowerCamelCase_						,			)

						try:
											import sacremoses
						except ImportError:
											raise ImportError(
											    "You need to install sacremoses to use XLMTokenizer. "
											    "See https://pypi.org/project/sacremoses/ for installation."						)

						a   	=  sacremoses

						a   	=  src_vocab_file
						a   	=  tgt_vocab_file
						a   	=  merges_file
						a   	=  do_lower_case

						# cache of sm.MosesPunctNormalizer instance
						a   	=  {}
						# cache of sm.MosesTokenizer instance
						a   	=  {}
						a   	=  {}

						if langs and len(lowerCamelCase_						) == 2:
											a	,							a   	=  langs
						else:
											raise ValueError(
											    F'''arg `langs` needs to be a list of 2 langs, e.g. [\'en\', \'ru\'], but got {langs}. '''
											    "Usually that means that tokenizer can't find a mapping for the given model path "
											    "in PRETRAINED_VOCAB_FILES_MAP, and other maps of this tokenizer."						)

						with open(lowerCamelCase_						,			encoding="utf-8"						) as src_vocab_handle:
											a   	=  json.load(lowerCamelCase_						)
						with open(lowerCamelCase_						,			encoding="utf-8"						) as tgt_vocab_handle:
											a   	=  json.load(lowerCamelCase_						)
											a   	=  {v: k for k, v in tgt_vocab.items()}
						with open(lowerCamelCase_						,			encoding="utf-8"						) as merges_handle:
											a   	=  merges_handle.read().split("\n"						)[:-1]
						a   	=  [tuple(merge.split()[:2]						) for merge in merges]
						a   	=  dict(zip(lowerCamelCase_						,			range(len(lowerCamelCase_						)						)						)						)
						a   	=  {}




	def 	UpperCamelCase_			(self						):
						"""simple docstring"""

						return self.get_src_vocab()




	@property
	def 	UpperCamelCase_			(self						):
						"""simple docstring"""

						return self.src_vocab_size




	def 	UpperCamelCase_			(self						,			lowerCamelCase_						,			lowerCamelCase_						):
						"""simple docstring"""

						if lang not in self.cache_moses_punct_normalizer:
											a   	=  self.sm.MosesPunctNormalizer(lang=lowerCamelCase_						)
											a   	=  punct_normalizer
						return self.cache_moses_punct_normalizer[lang].normalize(lowerCamelCase_						)




	def 	UpperCamelCase_			(self						,			lowerCamelCase_						,			lowerCamelCase_						):
						"""simple docstring"""

						if lang not in self.cache_moses_tokenizer:
											a   	=  self.sm.MosesTokenizer(lang=lowerCamelCase_						)
											a   	=  moses_tokenizer
						return self.cache_moses_tokenizer[lang].tokenize(
						    lowerCamelCase_						,			aggressive_dash_splits=lowerCamelCase_						,			return_str=lowerCamelCase_						,			escape=lowerCamelCase_						)




	def 	UpperCamelCase_			(self						,			lowerCamelCase_						,			lowerCamelCase_						):
						"""simple docstring"""

						if lang not in self.cache_moses_detokenizer:
											a   	=  self.sm.MosesDetokenizer(lang=lowerCamelCase_						)
											a   	=  moses_detokenizer
						return self.cache_moses_detokenizer[lang].detokenize(lowerCamelCase_						)




	def 	UpperCamelCase_			(self						,			lowerCamelCase_						,			lowerCamelCase_						):
						"""simple docstring"""

						a   	=  replace_unicode_punct(lowerCamelCase_						)
						a   	=  self.moses_punct_norm(lowerCamelCase_						,			lowerCamelCase_						)
						a   	=  remove_non_printing_char(lowerCamelCase_						)
						return text




	@property
	def 	UpperCamelCase_			(self						):
						"""simple docstring"""

						return len(self.encoder						)




	@property
	def 	UpperCamelCase_			(self						):
						"""simple docstring"""

						return len(self.decoder						)




	def 	UpperCamelCase_			(self						):
						"""simple docstring"""

						return dict(self.encoder						,			**self.added_tokens_encoder						)




	def 	UpperCamelCase_			(self						):
						"""simple docstring"""

						return dict(self.decoder						,			**self.added_tokens_decoder						)




	def 	UpperCamelCase_			(self						,			lowerCamelCase_						):
						"""simple docstring"""

						a   	=  tuple(token[:-1]						) + (token[-1] + "</w>",)
						if token in self.cache:
											return self.cache[token]
						a   	=  get_pairs(lowerCamelCase_						)

						if not pairs:
											return token + "</w>"

						while True:
											a   	=  min(lowerCamelCase_						,			key=lambda lowerCamelCase_						: self.bpe_ranks.get(lowerCamelCase_						,			float("inf"						)						)						)
											if bigram not in self.bpe_ranks:
																break
											a	,							a   	=  bigram
											a   	=  []
											a   	=  0
											while i < len(lowerCamelCase_						):
																try:
																					a   	=  word.index(lowerCamelCase_						,			lowerCamelCase_						)
																except ValueError:
																					new_word.extend(word[i:]						)
																					break
																else:
																					new_word.extend(word[i:j]						)
																					a   	=  j

																if word[i] == first and i < len(lowerCamelCase_						) - 1 and word[i + 1] == second:
																					new_word.append(first + second						)
																					i += 2
																else:
																					new_word.append(word[i]						)
																					i += 1
											a   	=  tuple(lowerCamelCase_						)
											a   	=  new_word
											if len(lowerCamelCase_						) == 1:
																break
											else:
																a   	=  get_pairs(lowerCamelCase_						)
						a   	=  " ".join(lowerCamelCase_						)
						if word == "\n  </w>":
											a   	=  "\n</w>"
						a   	=  word
						return word




	def 	UpperCamelCase_			(self						,			lowerCamelCase_						,			lowerCamelCase_="en"						,			lowerCamelCase_=False						):
						"""simple docstring"""

						a   	=  self.src_lang

						if self.do_lower_case:
											a   	=  text.lower()

						if bypass_tokenizer:
											a   	=  text.split()
						else:
											a   	=  self.moses_pipeline(lowerCamelCase_						,			lang=lowerCamelCase_						)
											a   	=  self.moses_tokenize(lowerCamelCase_						,			lang=lowerCamelCase_						)

						a   	=  []
						for token in text:
											if token:
																split_tokens.extend(list(self.bpe(lowerCamelCase_						).split(" "						)						)						)

						return split_tokens




	def 	UpperCamelCase_			(self						,			lowerCamelCase_						):
						"""simple docstring"""

						return self.encoder.get(lowerCamelCase_						,			self.encoder.get(self.unk_token						)						)




	def 	UpperCamelCase_			(self						,			lowerCamelCase_						):
						"""simple docstring"""

						return self.decoder.get(lowerCamelCase_						,			self.unk_token						)




	def 	UpperCamelCase_			(self						,			lowerCamelCase_						):
						"""simple docstring"""

						a   	=  [t.replace(" "						,			""						).replace("</w>"						,			" "						) for t in tokens]
						a   	=  "".join(lowerCamelCase_						).split()
						# detokenize
						a   	=  self.moses_detokenize(lowerCamelCase_						,			self.tgt_lang						)
						return text




	def 	UpperCamelCase_			(self						,			lowerCamelCase_						,			lowerCamelCase_ = None						):
						"""simple docstring"""

						a   	=  [self.sep_token_id]

						# no bos used in fairseq
						if token_ids_a is None:
											return token_ids_a + sep
						return token_ids_a + sep + token_ids_a + sep




	def 	UpperCamelCase_			(self						,			lowerCamelCase_						,			lowerCamelCase_ = None						,			lowerCamelCase_ = False						):
						"""simple docstring"""

						if already_has_special_tokens:
											return super().get_special_tokens_mask(
											    token_ids_a=lowerCamelCase_						,			token_ids_a=lowerCamelCase_						,			already_has_special_tokens=lowerCamelCase_						)
						# no bos used in fairseq
						if token_ids_a is not None:
											return ([0] * len(lowerCamelCase_						)) + [1] + ([0] * len(lowerCamelCase_						)) + [1]
						return ([0] * len(lowerCamelCase_						)) + [1]




	def 	UpperCamelCase_			(self						,			lowerCamelCase_						,			lowerCamelCase_ = None						):
						"""simple docstring"""

						a   	=  [self.sep_token_id]

						# no bos used in fairseq
						if token_ids_a is None:
											return len(token_ids_a + sep						) * [0]
						return len(token_ids_a + sep						) * [0] + len(token_ids_a + sep						) * [1]




	def 	UpperCamelCase_			(self						,			lowerCamelCase_						,			lowerCamelCase_ = None						):
						"""simple docstring"""

						if not os.path.isdir(lowerCamelCase_						):
											logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''						)
											return

						a   	=  os.path.join(
						    lowerCamelCase_						,			(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["src_vocab_file"]						)
						a   	=  os.path.join(
						    lowerCamelCase_						,			(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["tgt_vocab_file"]						)
						a   	=  os.path.join(
						    lowerCamelCase_						,			(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["merges_file"]						)

						with open(lowerCamelCase_						,			"w"						,			encoding="utf-8"						) as f:
											f.write(json.dumps(self.encoder						,			indent=2						,			sort_keys=lowerCamelCase_						,			ensure_ascii=lowerCamelCase_						) + "\n"						)

						with open(lowerCamelCase_						,			"w"						,			encoding="utf-8"						) as f:
											a   	=  {v: k for k, v in self.decoder.items()}
											f.write(json.dumps(lowerCamelCase_						,			indent=2						,			sort_keys=lowerCamelCase_						,			ensure_ascii=lowerCamelCase_						) + "\n"						)

						a   	=  0
						with open(lowerCamelCase_						,			"w"						,			encoding="utf-8"						) as writer:
											for bpe_tokens, token_index in sorted(self.bpe_ranks.items()						,			key=lambda lowerCamelCase_						: kv[1]						):
																if index != token_index:
																					logger.warning(
																					    F'''Saving vocabulary to {merges_file}: BPE merge indices are not consecutive.'''
																					    " Please check that the tokenizer is not corrupted!"						)
																					a   	=  token_index
																writer.write(" ".join(lowerCamelCase_						) + "\n"						)
																index += 1

						return src_vocab_file, tgt_vocab_file, merges_file




	def __getstate__(self						):
						"""simple docstring"""

						a   	=  self.__dict__.copy()
						a   	=  None
						return state




	def __setstate__(self						,			lowerCamelCase_						):
						"""simple docstring"""

						a   	=  d

						try:
											import sacremoses
						except ImportError:
											raise ImportError(
											    "You need to install sacremoses to use XLMTokenizer. "
											    "See https://pypi.org/project/sacremoses/ for installation."						)

						a   	=  sacremoses





import platform
from argparse import ArgumentParser

import huggingface_hub
import pandas
import pyarrow

from datasets import __version__ as version
from datasets.commands import BaseDatasetsCLICommand






def        a( A			:       Dict			)						->			Optional[int]:
					"""simple docstring"""





					return EnvironmentCommand()







class       _lowercase				(  lowerCAmelCase      ):





	"""simple docstring"""




	@staticmethod
	def 	UpperCamelCase_			(lowerCamelCase_						):
						"""simple docstring"""

						a   	=  parser.add_parser("env"						,			help="Print relevant system environment info."						)
						download_parser.set_defaults(func=lowerCamelCase_						)




	def 	UpperCamelCase_			(self						):
						"""simple docstring"""

						a   	=  {
						    "`datasets` version": version,
						    "Platform": platform.platform(),
						    "Python version": platform.python_version(),
						    "Huggingface_hub version": huggingface_hub.__version__,
						    "PyArrow version": pyarrow.__version__,
						    "Pandas version": pandas.__version__,
						}

						print("\nCopy-and-paste the text below in your GitHub issue.\n"						)
						print(self.format_dict(lowerCamelCase_						)						)

						return info




	@staticmethod
	def 	UpperCamelCase_			(lowerCamelCase_						):
						"""simple docstring"""

						return "\n".join([F'''- {prop}: {val}''' for prop, val in d.items()]						) + "\n"
