






"""simple docstring"""



import json
import os
import subprocess
import sys
import warnings
from argparse import ArgumentParser
from contextlib import AbstractContextManager
from typing import Dict, List, Optional

import requests

from ..utils import logging
from . import BaseTransformersCLICommand


_UpperCamelCase		:  Union[str, Any]						=		logging.get_logger(__name__)  # pylint: disable=invalid-name


_UpperCamelCase		:  str						=		'lfs-multipart-upload'

class 	a					(       lowercase_     ):







    @staticmethod
    def       UpperCamelCase_				(      _lowerCamelCase	):
      lowercase							   =	parser.add_parser(
          'lfs-enable-largefiles'							,		help=(
              'Deprecated: use `huggingface-cli` instead. Configure your repository to enable upload of files > 5GB.'
          )							,		)
      enable_parser.add_argument('path'							,		type=__UpperCamelCase							,		help='Local path to repository you want to configure.'	)
      enable_parser.set_defaults(func=lambda _lowerCamelCase	: LfsEnableCommand(__UpperCamelCase	)	)

      lowercase							   =	parser.add_parser(
          __UpperCamelCase							,		help=(
              'Deprecated: use `huggingface-cli` instead. '
              'Command will get called by git-lfs, do not call it directly.'
          )							,		)
      upload_parser.set_defaults(func=lambda _lowerCamelCase	: LfsUploadCommand(__UpperCamelCase	)	)


class 	a					:







    def __init__(      self							,		_lowerCamelCase	):
      lowercase							   =	args







    def       UpperCamelCase_				(      self	):
      warnings.warn(
          'Managing repositories through transformers-cli is deprecated. Please use `huggingface-cli` instead.'	)
      lowercase							   =	os.path.abspath(self.args.path	)
      if not os.path.isdir(__UpperCamelCase	):
        print('This does not look like a valid git repo.'	)
        exit(1	)
      subprocess.run(
          'git config lfs.customtransfer.multipart.path transformers-cli'.split()							,		check=__UpperCamelCase							,		cwd=__UpperCamelCase	)
      subprocess.run(
          F'git config lfs.customtransfer.multipart.args {LFS_MULTIPART_UPLOAD_COMMAND}'.split()							,		check=__UpperCamelCase							,		cwd=__UpperCamelCase							,		)
      print('Local repo set up for largefiles'	)


def 						_SCREAMING_SNAKE_CASE			(   __snake_case      :  Dict   ):





  '''simple docstring'''





  lowercase							   =	json.dumps(__snake_case   ) + '\n'
  sys.stdout.write(__snake_case   )
  sys.stdout.flush()
def 						_SCREAMING_SNAKE_CASE			(   ):





  '''simple docstring'''





  lowercase							   =	json.loads(sys.stdin.readline().strip()   )

  if "terminate" in (msg.get('type'   ), msg.get('event'   )):
    # terminate message received
    return None

  if msg.get('event'   ) not in ("download", "upload"):
    logger.critical('Received unexpected message'   )
    sys.exit(1   )

  return msg

class 	a					(       lowercase_     ):







    def __init__(      self							,		_lowerCamelCase							,		_lowerCamelCase							,		_lowerCamelCase	):
      lowercase							   =	filepath
      lowercase							   =	seek_from
      lowercase							   =	read_limit
      lowercase							   =	0







    def __enter__(      self	):
      lowercase							   =	open(self.filepath							,		'rb'	)
      self.f.seek(self.seek_from	)
      return self







    def __len__(      self	):
      lowercase							   =	os.fstat(self.f.fileno()	).st_size
      return min(self.read_limit							,		total_length - self.seek_from	)







    def       UpperCamelCase_				(      self							,		_lowerCamelCase=-1	):
      if self.n_seen >= self.read_limit:
        return b""
      lowercase							   =	self.read_limit - self.n_seen
      lowercase							   =	self.f.read(remaining_amount if n < 0 else min(__UpperCamelCase							,		__UpperCamelCase	)	)
      self.n_seen += len(__UpperCamelCase	)
      return data







    def __iter__(      self	):
      yield self.read(n=4 * 1_0_2_4 * 1_0_2_4	)







    def __exit__(      self							,		*_lowerCamelCase	):
      self.f.close()


class 	a					:







    def __init__(      self							,		_lowerCamelCase	):
      lowercase							   =	args







    def       UpperCamelCase_				(      self	):
      # Immediately after invoking a custom transfer process, git-lfs
      # sends initiation data to the process over stdin.
      # This tells the process useful information about the configuration.
      lowercase							   =	json.loads(sys.stdin.readline().strip()	)
      if not (init_msg.get('event'	) == "init" and init_msg.get('operation'	) == "upload"):
        write_msg({'error': {'code': 3_2, 'message': 'Wrong lfs init operation'}}	)
        sys.exit(1	)

      # The transfer process should use the information it needs from the
      # initiation structure, and also perform any one-off setup tasks it
      # needs to do. It should then respond on stdout with a simple empty
      # confirmation structure, as follows:
      write_msg({}	)

      # After the initiation exchange, git-lfs will send any number of
      # transfer requests to the stdin of the transfer process, in a serial sequence.
      while True:
        lowercase							   =	read_msg()
        if msg is None:
          # When all transfers have been processed, git-lfs will send
          # a terminate event to the stdin of the transfer process.
          # On receiving this message the transfer process should
          # clean up and terminate. No response is expected.
          sys.exit(0	)

        lowercase							   =	msg['oid']
        lowercase							   =	msg['path']
        lowercase							   =	msg['action']['href']
        lowercase							   =	msg['action']['header']
        lowercase							   =	int(header.pop('chunk_size'	)	)
        lowercase							   =	list(header.values()	)

        lowercase							   =	[]
        for i, presigned_url in enumerate(__UpperCamelCase	):
          with FileSlice(__UpperCamelCase							,		seek_from=i * chunk_size							,		read_limit=__UpperCamelCase	) as data:
            lowercase							   =	requests.put(__UpperCamelCase							,		data=__UpperCamelCase	)
            r.raise_for_status()
            parts.append(
                {
                    'etag': r.headers.get('etag'	),
                    'partNumber': i + 1,
                }	)
            # In order to support progress reporting while data is uploading / downloading,
            # the transfer process should post messages to stdout
            write_msg(
                {
                    'event': 'progress',
                    'oid': oid,
                    'bytesSoFar': (i + 1) * chunk_size,
                    'bytesSinceLast': chunk_size,
                }	)
            # Not precise but that's ok.

        lowercase							   =	requests.post(
            __UpperCamelCase							,		json={
                'oid': oid,
                'parts': parts,
            }							,		)
        r.raise_for_status()

        write_msg({'event': 'complete', 'oid': oid}	)










"""simple docstring"""



import json
import os
from functools import lru_cache
from typing import TYPE_CHECKING, List, Optional, Tuple

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


if TYPE_CHECKING:
    from transformers.pipelines.conversational import Conversation

_UpperCamelCase		:  Union[str, Any]						=		logging.get_logger(__name__)

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

_UpperCamelCase		:  Any						=		{
    'vocab_file': {
        'gpt2': 'https://huggingface.co/gpt2/resolve/main/vocab.json',
        'gpt2-medium': 'https://huggingface.co/gpt2-medium/resolve/main/vocab.json',
        'gpt2-large': 'https://huggingface.co/gpt2-large/resolve/main/vocab.json',
        'gpt2-xl': 'https://huggingface.co/gpt2-xl/resolve/main/vocab.json',
        'distilgpt2': 'https://huggingface.co/distilgpt2/resolve/main/vocab.json',
    },
    'merges_file': {
        'gpt2': 'https://huggingface.co/gpt2/resolve/main/merges.txt',
        'gpt2-medium': 'https://huggingface.co/gpt2-medium/resolve/main/merges.txt',
        'gpt2-large': 'https://huggingface.co/gpt2-large/resolve/main/merges.txt',
        'gpt2-xl': 'https://huggingface.co/gpt2-xl/resolve/main/merges.txt',
        'distilgpt2': 'https://huggingface.co/distilgpt2/resolve/main/merges.txt',
    },
}

_UpperCamelCase		:  str						=		{
    'gpt2': 1_0_2_4,
    'gpt2-medium': 1_0_2_4,
    'gpt2-large': 1_0_2_4,
    'gpt2-xl': 1_0_2_4,
    'distilgpt2': 1_0_2_4,
}
@lru_cache()
def 						_SCREAMING_SNAKE_CASE			(   ):





  '''simple docstring'''





  lowercase							   =	(
      list(range(ord('!'   )		, ord('~'   ) + 1   )   ) + list(range(ord('¡'   )		, ord('¬'   ) + 1   )   ) + list(range(ord('®'   )		, ord('ÿ'   ) + 1   )   )
  )
  lowercase							   =	bs[:]
  lowercase							   =	0
  for b in range(2**8   ):
    if b not in bs:
      bs.append(__snake_case   )
      cs.append(2**8 + n   )
      n += 1
  lowercase							   =	[chr(__snake_case   ) for n in cs]
  return dict(zip(__snake_case		, __snake_case   )   )
def 						_SCREAMING_SNAKE_CASE			(   __snake_case      :  int   ):





  '''simple docstring'''





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



class 	a					(       a_     ):
    UpperCAmelCase_			:					int     					=VOCAB_FILES_NAMES
    UpperCAmelCase_			:					List[str]     					=PRETRAINED_VOCAB_FILES_MAP
    UpperCAmelCase_			:					Tuple     					=PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    UpperCAmelCase_			:					Any     					=["input_ids", "attention_mask"]







    def __init__(      self							,		_lowerCamelCase							,		_lowerCamelCase							,		_lowerCamelCase="replace"							,		_lowerCamelCase="<|endoftext|>"							,		_lowerCamelCase="<|endoftext|>"							,		_lowerCamelCase="<|endoftext|>"							,		_lowerCamelCase=None							,		_lowerCamelCase=False							,		_lowerCamelCase=False							,		**_lowerCamelCase							,		):
      lowercase							   =	AddedToken(_lowerCamelCase							,		lstrip=_lowerCamelCase							,		rstrip=_lowerCamelCase	) if isinstance(_lowerCamelCase							,		_lowerCamelCase	) else bos_token
      lowercase							   =	AddedToken(_lowerCamelCase							,		lstrip=_lowerCamelCase							,		rstrip=_lowerCamelCase	) if isinstance(_lowerCamelCase							,		_lowerCamelCase	) else eos_token
      lowercase							   =	AddedToken(_lowerCamelCase							,		lstrip=_lowerCamelCase							,		rstrip=_lowerCamelCase	) if isinstance(_lowerCamelCase							,		_lowerCamelCase	) else unk_token
      lowercase							   =	AddedToken(_lowerCamelCase							,		lstrip=_lowerCamelCase							,		rstrip=_lowerCamelCase	) if isinstance(_lowerCamelCase							,		_lowerCamelCase	) else pad_token
      super().__init__(
          errors=_lowerCamelCase							,		unk_token=_lowerCamelCase							,		bos_token=_lowerCamelCase							,		eos_token=_lowerCamelCase							,		pad_token=_lowerCamelCase							,		add_prefix_space=_lowerCamelCase							,		add_bos_token=_lowerCamelCase							,		**_lowerCamelCase							,		)
      lowercase							   =	add_bos_token

      with open(_lowerCamelCase							,		encoding='utf-8'	) as vocab_handle:
        lowercase							   =	json.load(_lowerCamelCase	)
      lowercase							   =	{v: k for k, v in self.encoder.items()}
      lowercase							   =	errors  # how to handle errors in decoding
      lowercase							   =	bytes_to_unicode()
      lowercase							   =	{v: k for k, v in self.byte_encoder.items()}
      with open(_lowerCamelCase							,		encoding='utf-8'	) as merges_handle:
        lowercase							   =	merges_handle.read().split('\n'	)[1:-1]
      lowercase							   =	[tuple(merge.split()	) for merge in bpe_merges]
      lowercase							   =	dict(zip(_lowerCamelCase							,		range(len(_lowerCamelCase	)	)	)	)
      lowercase							   =	{}
      lowercase							   =	add_prefix_space

      # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
      lowercase							   =	re.compile(R'\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+'	)







    @property
    def       UpperCamelCase_				(      self	):
      return len(self.encoder	)







    def       UpperCamelCase_				(      self	):
      return dict(self.encoder							,		**self.added_tokens_encoder	)







    def       UpperCamelCase_				(      self							,		_lowerCamelCase	):
      if token in self.cache:
        return self.cache[token]
      lowercase							   =	tuple(_lowerCamelCase	)
      lowercase							   =	get_pairs(_lowerCamelCase	)

      if not pairs:
        return token

      while True:
        lowercase							   =	min(_lowerCamelCase							,		key=lambda _lowerCamelCase	: self.bpe_ranks.get(_lowerCamelCase							,		float('inf'	)	)	)
        if bigram not in self.bpe_ranks:
          break
        lowercase   ,					lowercase							   =	bigram
        lowercase							   =	[]
        lowercase							   =	0
        while i < len(_lowerCamelCase	):
          try:
            lowercase							   =	word.index(_lowerCamelCase							,		_lowerCamelCase	)
          except ValueError:
            new_word.extend(word[i:]	)
            break
          else:
            new_word.extend(word[i:j]	)
            lowercase							   =	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
        lowercase							   =	tuple(_lowerCamelCase	)
        lowercase							   =	new_word
        if len(_lowerCamelCase	) == 1:
          break
        else:
          lowercase							   =	get_pairs(_lowerCamelCase	)
      lowercase							   =	' '.join(_lowerCamelCase	)
      lowercase							   =	word
      return word







    def       UpperCamelCase_				(      self							,		_lowerCamelCase							,		_lowerCamelCase=None	):
      if self.add_bos_token:
        lowercase							   =	[self.bos_token_id]
      else:
        lowercase							   =	[]

      lowercase							   =	bos_token_ids + token_ids_a

      if token_ids_a is None:
        return output

      return output + bos_token_ids + token_ids_a







    def       UpperCamelCase_				(      self							,		_lowerCamelCase							,		_lowerCamelCase = None							,		_lowerCamelCase = False	):
      if already_has_special_tokens:
        return super().get_special_tokens_mask(
            token_ids_a=_lowerCamelCase							,		token_ids_a=_lowerCamelCase							,		already_has_special_tokens=_lowerCamelCase	)

      if not self.add_bos_token:
        return super().get_special_tokens_mask(
            token_ids_a=_lowerCamelCase							,		token_ids_a=_lowerCamelCase							,		already_has_special_tokens=_lowerCamelCase	)

      if token_ids_a is None:
        return [1] + ([0] * len(_lowerCamelCase	))
      return [1] + ([0] * len(_lowerCamelCase	)) + [1] + ([0] * len(_lowerCamelCase	))







    def       UpperCamelCase_				(      self							,		_lowerCamelCase	):
      lowercase							   =	[]
      for token in re.findall(self.pat							,		_lowerCamelCase	):
        lowercase							   =	''.join(
            self.byte_encoder[b] for b in token.encode('utf-8'	)	)  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
        bpe_tokens.extend(bpe_token for bpe_token in self.bpe(_lowerCamelCase	).split(' '	)	)
      return bpe_tokens







    def       UpperCamelCase_				(      self							,		_lowerCamelCase	):
      return self.encoder.get(_lowerCamelCase							,		self.encoder.get(self.unk_token	)	)







    def       UpperCamelCase_				(      self							,		_lowerCamelCase	):
      return self.decoder.get(_lowerCamelCase	)







    def       UpperCamelCase_				(      self							,		_lowerCamelCase	):
      lowercase							   =	''.join(_lowerCamelCase	)
      lowercase							   =	bytearray([self.byte_decoder[c] for c in text]	).decode('utf-8'							,		errors=self.errors	)
      return text







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

      lowercase							   =	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!'	)
            lowercase							   =	token_index
          writer.write(' '.join(_lowerCamelCase	) + '\n'	)
          index += 1

      return vocab_file, merge_file







    def       UpperCamelCase_				(      self							,		_lowerCamelCase							,		_lowerCamelCase=False							,		**_lowerCamelCase	):
      lowercase							   =	kwargs.pop('add_prefix_space'							,		self.add_prefix_space	)
      if is_split_into_words or add_prefix_space:
        lowercase							   =	' ' + text
      return (text, kwargs)







    def       UpperCamelCase_				(      self							,		_lowerCamelCase	):
      lowercase							   =	[]
      for is_user, text in conversation.iter_texts():
        input_ids.extend(self.encode(_lowerCamelCase							,		add_special_tokens=_lowerCamelCase	) + [self.eos_token_id]	)
      if len(_lowerCamelCase	) > self.model_max_length:
        lowercase							   =	input_ids[-self.model_max_length :]
      return input_ids


