
# Lint as: python3
import os
import re
import urllib.parse
from pathlib import Path
from typing import Callable, List, Optional, Union
from zipfile import ZipFile

from ..utils.file_utils import cached_path, hf_github_url
from ..utils.logging import get_logger
from ..utils.version import Version


__magic_name__  							=	get_logger(__name__)




class        _SCREAMING_SNAKE_CASE	:
      _A    :		Dict     						=  'dummy_data'
      _A    :		Dict     						=  'datasets'
      _A    :		str     						=  False
      def __init__(      self		,						lowerCamelCase		,						lowerCamelCase		,						lowerCamelCase		,						lowerCamelCase = None		,						lowerCamelCase = False		,						lowerCamelCase = True		,						lowerCamelCase = None		,						):
          snake_case__    =					0
          snake_case__    =					dataset_name
          snake_case__    =					cache_dir
          snake_case__    =					use_local_dummy_data
          snake_case__    =					config
          # download_callbacks take a single url as input
          snake_case__    =					download_callbacks or []
          # if False, it doesn't load existing files and it returns the paths of the dummy files relative
          # to the dummy_data zip file root
          snake_case__    =					load_existing_dummy_data

          # TODO(PVP, QL) might need to make this more general
          snake_case__    =					str(lowerCamelCase			)
          # to be downloaded
          snake_case__    =					None
          snake_case__    =					None
      @property
      def A_      (      self			):
          if self._dummy_file is None:
              snake_case__    =					self.download_dummy_data()
          return self._dummy_file
      @property
      def A_      (      self			):
          if self.config is not None:
              # structure is dummy / config_name / version_name
              return os.path.join("dummy"		,						self.config.name		,						self.version_name			)
          # structure is dummy / version_name
          return os.path.join("dummy"		,						self.version_name			)
      @property
      def A_      (      self			):
          return os.path.join(self.dummy_data_folder		,						"dummy_data.zip"			)
      def A_      (      self			):
          snake_case__    =					(
              self.local_path_to_dummy_data if self.use_local_dummy_data is True else self.github_path_to_dummy_data
          )

          snake_case__    =					cached_path(
              lowerCamelCase		,						cache_dir=self.cache_dir		,						extract_compressed_file=lowerCamelCase		,						force_extract=lowerCamelCase			)

          return os.path.join(lowerCamelCase		,						self.dummy_file_name			)
      @property
      def A_      (      self			):
          return os.path.join(self.datasets_scripts_dir		,						self.dataset_name		,						self.dummy_zip_file			)
      @property
      def A_      (      self			):
          if self._bucket_url is None:
              snake_case__    =					hf_github_url(self.dataset_name		,						self.dummy_zip_file.replace(os.sep		,						"/"			)			)
          return self._bucket_url
      @property
      def A_      (      self			):
          # return full path if its a dir
          if os.path.isdir(self.dummy_file			):
              return self.dummy_file
          # else cut off path to file -> example `xsum`.
          return "/".join(self.dummy_file.replace(os.sep		,						"/"			).split("/"			)[:-1]			)
      def A_      (      self		,						lowerCamelCase		,						*lowerCamelCase			):
          if self.load_existing_dummy_data:
              # dummy data is downloaded and tested
              snake_case__    =					self.dummy_file
          else:
              # dummy data cannot be downloaded and only the path to dummy file is returned
              snake_case__    =					self.dummy_file_name

          # special case when data_url is a dict
          if isinstance(lowerCamelCase		,						lowerCamelCase			):
              return self.create_dummy_data_dict(lowerCamelCase		,						lowerCamelCase			)
          elif isinstance(lowerCamelCase		,						(list, tuple)			):
              return self.create_dummy_data_list(lowerCamelCase		,						lowerCamelCase			)
          else:
              return self.create_dummy_data_single(lowerCamelCase		,						lowerCamelCase			)
      def A_      (      self		,						lowerCamelCase		,						*lowerCamelCase			):
          return self.download_and_extract(lowerCamelCase			)
      def A_      (      self		,						lowerCamelCase		,						lowerCamelCase			):
          return self.download_and_extract(lowerCamelCase			)
      def A_      (      self		,						lowerCamelCase		,						*lowerCamelCase		,						**lowerCamelCase			):
          return path
      def A_      (      self			):
          return {}
      def A_      (      self		,						lowerCamelCase		,						lowerCamelCase			):
          snake_case__    =					{}
          for key, single_urls in data_url.items():
              for download_callback in self.download_callbacks:
                  if isinstance(lowerCamelCase		,						lowerCamelCase			):
                      for single_url in single_urls:
                          download_callback(lowerCamelCase			)
                  else:
                      snake_case__    =					single_urls
                      download_callback(lowerCamelCase			)
            # we force the name of each key to be the last file / folder name of the url path
            # if the url has arguments, we need to encode them with urllib.parse.quote_plus
              if isinstance(lowerCamelCase		,						lowerCamelCase			):
                  snake_case__    =					[os.path.join(lowerCamelCase		,						urllib.parse.quote_plus(Path(lowerCamelCase			).name			)			) for x in single_urls]
              else:
                  snake_case__    =					single_urls
                  snake_case__    =					os.path.join(lowerCamelCase		,						urllib.parse.quote_plus(Path(lowerCamelCase			).name			)			)
              snake_case__    =					value

          # make sure that values are unique
          if all(isinstance(lowerCamelCase		,						lowerCamelCase			) for i in dummy_data_dict.values()			) and len(set(dummy_data_dict.values()			)			) < len(
              dummy_data_dict.values()			):
              # append key to value to make its name unique
              snake_case__    =					{key: value + key for key, value in dummy_data_dict.items()}

          return dummy_data_dict
      def A_      (      self		,						lowerCamelCase		,						lowerCamelCase			):
          snake_case__    =					[]
          # trick: if there are many shards named like `data.txt-000001-of-00300`, only use the first one
          snake_case__    =					all(bool(re.findall("[0-9]{3,}-of-[0-9]{3,}"		,						lowerCamelCase			)			) for url in data_url			)
          snake_case__    =					all(
              url.startswith("https://ftp.ncbi.nlm.nih.gov/pubmed/baseline/pubmed"			) for url in data_url			)
          if data_url and (is_tf_records or is_pubmed_records):
              snake_case__    =					[data_url[0]] * len(lowerCamelCase			)
          for single_url in data_url:
              for download_callback in self.download_callbacks:
                  download_callback(lowerCamelCase			)
              # we force the name of each key to be the last file / folder name of the url path
              # if the url has arguments, we need to encode them with urllib.parse.quote_plus
              snake_case__    =					os.path.join(lowerCamelCase		,						urllib.parse.quote_plus(single_url.split("/"			)[-1]			)			)
              dummy_data_list.append(lowerCamelCase			)
          return dummy_data_list
      def A_      (      self		,						lowerCamelCase		,						lowerCamelCase			):
          for download_callback in self.download_callbacks:
              download_callback(lowerCamelCase			)
          # we force the name of each key to be the last file / folder name of the url path
          # if the url has arguments, we need to encode them with urllib.parse.quote_plus
          snake_case__    =					os.path.join(lowerCamelCase		,						urllib.parse.quote_plus(data_url.split("/"			)[-1]			)			)
          if os.path.exists(lowerCamelCase			) or not self.load_existing_dummy_data:
              return value
          else:
              # Backward compatibility, maybe deprecate at one point.
              # For many datasets with single url calls to dl_manager.download_and_extract,
              # the dummy_data.zip file is actually the zipped downloaded file
              # while now we expected the dummy_data.zip file to be a directory containing
              # the downloaded file.
              return path_to_dummy_data
      def A_      (      self			):
          pass
      def A_      (      self			):
          pass
      def A_      (      self		,						lowerCamelCase			):
          def _iter_archive_members(lowerCamelCase			):
              # this preserves the order of the members inside the ZIP archive
              snake_case__    =					Path(self.dummy_file			).parent
              snake_case__    =					path.relative_to(lowerCamelCase			)
              with ZipFile(self.local_path_to_dummy_data			) as zip_file:
                  snake_case__    =					zip_file.namelist()
              for member in members:
                  if member.startswith(relative_path.as_posix()			):
                      yield dummy_parent_path.joinpath(lowerCamelCase			)

          snake_case__    =					Path(lowerCamelCase			)
          snake_case__    =					_iter_archive_members(lowerCamelCase			) if self.use_local_dummy_data else path.rglob("*"			)
          for file_path in file_paths:
              if file_path.is_file() and not file_path.name.startswith((".", "__")			):
                  yield file_path.relative_to(lowerCamelCase			).as_posix(), file_path.open("rb"			)



      def A_      (      self		,						lowerCamelCase			):
          if not isinstance(lowerCamelCase		,						lowerCamelCase			):
              snake_case__    =					[paths]
          for path in paths:
              if os.path.isfile(lowerCamelCase			):
                  if os.path.basename(lowerCamelCase			).startswith((".", "__")			):
                      return
                  yield path
              else:
                  for dirpath, dirnames, filenames in os.walk(lowerCamelCase			):
                      if os.path.basename(lowerCamelCase			).startswith((".", "__")			):
                          continue
                      dirnames.sort()
                      for filename in sorted(lowerCamelCase			):
                          if filename.startswith((".", "__")			):
                              continue
                          yield os.path.join(lowerCamelCase		,						lowerCamelCase			)





import json
import os
from typing import Optional, Tuple

import regex as re

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


__magic_name__  							=	logging.get_logger(__name__)

__magic_name__  							=	{
    '''vocab_file''': '''vocab.json''',
    '''merges_file''': '''merges.txt''',
}

__magic_name__  							=	{
    '''vocab_file''': {'''ctrl''': '''https://raw.githubusercontent.com/salesforce/ctrl/master/ctrl-vocab.json'''},
    '''merges_file''': {'''ctrl''': '''https://raw.githubusercontent.com/salesforce/ctrl/master/ctrl-merges.txt'''},
}

__magic_name__  							=	{
    '''ctrl''': 256,
}

__magic_name__  							=	{
    '''Pregnancy''': 168_629,
    '''Christianity''': 7_675,
    '''Explain''': 106_423,
    '''Fitness''': 63_440,
    '''Saving''': 63_163,
    '''Ask''': 27_171,
    '''Ass''': 95_985,
    '''Joke''': 163_509,
    '''Questions''': 45_622,
    '''Thoughts''': 49_605,
    '''Retail''': 52_342,
    '''Feminism''': 164_338,
    '''Writing''': 11_992,
    '''Atheism''': 192_263,
    '''Netflix''': 48_616,
    '''Computing''': 39_639,
    '''Opinion''': 43_213,
    '''Alone''': 44_967,
    '''Funny''': 58_917,
    '''Gaming''': 40_358,
    '''Human''': 4_088,
    '''India''': 1_331,
    '''Joker''': 77_138,
    '''Diet''': 36_206,
    '''Legal''': 11_859,
    '''Norman''': 4_939,
    '''Tip''': 72_689,
    '''Weight''': 52_343,
    '''Movies''': 46_273,
    '''Running''': 23_425,
    '''Science''': 2_090,
    '''Horror''': 37_793,
    '''Confession''': 60_572,
    '''Finance''': 12_250,
    '''Politics''': 16_360,
    '''Scary''': 191_985,
    '''Support''': 12_654,
    '''Technologies''': 32_516,
    '''Teenage''': 66_160,
    '''Event''': 32_769,
    '''Learned''': 67_460,
    '''Notion''': 182_770,
    '''Wikipedia''': 37_583,
    '''Books''': 6_665,
    '''Extract''': 76_050,
    '''Confessions''': 102_701,
    '''Conspiracy''': 75_932,
    '''Links''': 63_674,
    '''Narcissus''': 150_425,
    '''Relationship''': 54_766,
    '''Relationships''': 134_796,
    '''Reviews''': 41_671,
    '''News''': 4_256,
    '''Translation''': 26_820,
    '''multilingual''': 128_406,
}





def 						SCREAMING_SNAKE_CASE__     (   __lowerCAmelCase				):
    snake_case__    =					set()
    snake_case__    =					word[0]
    for char in word[1:]:
        pairs.add((prev_char, char)				)
        snake_case__    =					char

    snake_case__    =					set(__lowerCAmelCase				)
    return pairs





class        _SCREAMING_SNAKE_CASE	(   __UpperCamelCase			):
      _A    :		Tuple     						=  VOCAB_FILES_NAMES
      _A    :		str     						=  PRETRAINED_VOCAB_FILES_MAP
      _A    :		int     						=  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      _A    :		List[Any]     						=  CONTROL_CODES
      def __init__(      self		,						lowerCamelCase		,						lowerCamelCase		,						lowerCamelCase="<unk>"		,						**lowerCamelCase			):
          super().__init__(unk_token=lowerCamelCase		,						**lowerCamelCase			)

          with open(lowerCamelCase		,						encoding="utf-8"			) as vocab_handle:
              snake_case__    =					json.load(lowerCamelCase			)
          snake_case__    =					{v: k for k, v in self.encoder.items()}
          with open(lowerCamelCase		,						encoding="utf-8"			) as merges_handle:
              snake_case__    =					merges_handle.read().split("\n"			)[1:-1]
          snake_case__    =					[tuple(merge.split()			) for merge in merges]
          snake_case__    =					dict(zip(lowerCamelCase		,						range(len(lowerCamelCase			)			)			)			)
          snake_case__    =					{}
      @property
      def A_      (      self			):
          return len(self.encoder			)
      def A_      (      self			):
          return dict(self.encoder		,						**self.added_tokens_encoder			)
      def A_      (      self		,						lowerCamelCase			):
          if token in self.cache:
              return self.cache[token]
          snake_case__    =					tuple(lowerCamelCase			)
          snake_case__    =					tuple(list(word[:-1]			) + [word[-1] + "</w>"]			)
          snake_case__    =					get_pairs(lowerCamelCase			)

          if not pairs:
              return token

          while True:
              snake_case__    =					min(lowerCamelCase		,						key=lambda lowerCamelCase			: self.bpe_ranks.get(lowerCamelCase		,						float("inf"			)			)			)
              if bigram not in self.bpe_ranks:
                  break
              snake_case__    ,       snake_case__    =					bigram
              snake_case__    =					[]
              snake_case__    =					0
              while i < len(lowerCamelCase			):
                  try:
                      snake_case__    =					word.index(lowerCamelCase		,						lowerCamelCase			)
                  except ValueError:
                      new_word.extend(word[i:]			)
                      break
                  else:
                      new_word.extend(word[i:j]			)
                      snake_case__    =					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
              snake_case__    =					tuple(lowerCamelCase			)
              snake_case__    =					new_word
              if len(lowerCamelCase			) == 1:
                  break
              else:
                  snake_case__    =					get_pairs(lowerCamelCase			)
          snake_case__    =					"@@ ".join(lowerCamelCase			)
          snake_case__    =					word[:-4]
          snake_case__    =					word
          return word
      def A_      (      self		,						lowerCamelCase			):
          snake_case__    =					[]

          snake_case__    =					re.findall(r"\S+\n?"		,						lowerCamelCase			)

          for token in words:
              split_tokens.extend(list(self.bpe(lowerCamelCase			).split(" "			)			)			)
          return split_tokens
      def A_      (      self		,						lowerCamelCase			):
          return self.encoder.get(lowerCamelCase		,						self.encoder.get(self.unk_token			)			)
      def A_      (      self		,						lowerCamelCase			):
          return self.decoder.get(lowerCamelCase		,						self.unk_token			)
      def A_      (      self		,						lowerCamelCase			):
          snake_case__    =					" ".join(lowerCamelCase			).replace("@@ "		,						""			).strip()
          return out_string



      def A_      (      self		,						lowerCamelCase		,						lowerCamelCase = None			):
          if not os.path.isdir(lowerCamelCase			):
              logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""			)
              return
          snake_case__    =					os.path.join(
              lowerCamelCase		,						(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]			)
          snake_case__    =					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"			)

          snake_case__    =					0
          with open(lowerCamelCase		,						"w"		,						encoding="utf-8"			) as writer:
              writer.write("#version: 0.2\n"			)
              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 {merge_file}: BPE merge indices are not consecutive."""
                          " Please check that the tokenizer is not corrupted!"			)
                      snake_case__    =					token_index
                  writer.write(" ".join(lowerCamelCase			) + "\n"			)
                  index += 1

          return vocab_file, merge_file

      # def decode(self, token_ids, skip_special_tokens=False, clean_up_tokenization_spaces=True):
      #     filtered_tokens = ' '.join(self.convert_ids_to_tokens(token_ids, skip_special_tokens=skip_special_tokens))
      #     tokens_generated_so_far = re.sub('(@@ )', '', string=filtered_tokens)
      #     tokens_generated_so_far = re.sub('(@@ ?$)', '', string=tokens_generated_so_far)
      #     return ''.join(tokens_generated_so_far)



