






'''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


__A     						= logging.get_logger(__name__)  # pylint: disable=invalid-name


__A     						= '''lfs-multipart-upload'''




class a_     (     UpperCamelCase_				):







   @staticmethod
   def      SCREAMING_SNAKE_CASE__       (__a)      ->   List[str]:
      """simple docstring"""






      __snake_case					:   List[Any]  				=			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=__a       , help='Local path to repository you want to configure.')
      enable_parser.set_defaults(func=lambda __a: LfsEnableCommand(__a))

      __snake_case					:   Optional[int]  				=			parser.add_parser(
          __a       , help=(
              'Deprecated: use `huggingface-cli` instead. '
              'Command will get called by git-lfs, do not call it directly.'
          )       , )
      upload_parser.set_defaults(func=lambda __a: LfsUploadCommand(__a))




class a_     :







   def __init__(self       , __a)      ->   Union[str, Any]:
      """simple docstring"""






      __snake_case					:   Union[str, Any]  				=			args







   def      SCREAMING_SNAKE_CASE__       (self)      ->   Tuple:
      """simple docstring"""






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




def 							_SCREAMING_SNAKE_CASE	(					A	:							Dict	)     ->			Tuple:







   """simple docstring"""
   __snake_case					:   Optional[Any]  				=			json.dumps(A	) + '\n'
   sys.stdout.write(A	)
   sys.stdout.flush()




def 							_SCREAMING_SNAKE_CASE	(					)     ->			Optional[Dict]:







   """simple docstring"""
   __snake_case					:   int  				=			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_     (     UpperCamelCase_				):







   def __init__(self       , __a       , __a       , __a)      ->   Dict:
      """simple docstring"""






      __snake_case					:   int  				=			filepath
      __snake_case					:   Dict  				=			seek_from
      __snake_case					:   Optional[Any]  				=			read_limit
      __snake_case					:   List[Any]  				=			0







   def __enter__(self)      ->   Optional[Any]:
      """simple docstring"""






      __snake_case					:   List[str]  				=			open(self.filepath       , 'rb')
      self.f.seek(self.seek_from)
      return self







   def __len__(self)      ->   Any:
      """simple docstring"""






      __snake_case					:   Dict  				=			os.fstat(self.f.fileno()).st_size
      return min(self.read_limit       , total_length - self.seek_from)







   def      SCREAMING_SNAKE_CASE__       (self       , __a=-1)      ->   Optional[Any]:
      """simple docstring"""






      if self.n_seen >= self.read_limit:
         return b""
      __snake_case					:   Union[str, Any]  				=			self.read_limit - self.n_seen
      __snake_case					:   Tuple  				=			self.f.read(remaining_amount if n < 0 else min(__a       , __a))
      self.n_seen += len(__a)
      return data







   def __iter__(self)      ->   List[Any]:
      """simple docstring"""






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







   def __exit__(self       , *__a)      ->   Tuple:
      """simple docstring"""






      self.f.close()




class a_     :







   def __init__(self       , __a)      ->   Any:
      """simple docstring"""






      __snake_case					:   List[Any]  				=			args







   def      SCREAMING_SNAKE_CASE__       (self)      ->   List[Any]:
      """simple docstring"""






      __snake_case					:   Dict  				=			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:
         __snake_case					:   Union[str, Any]  				=			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)

         __snake_case					:   List[str]  				=			msg['oid']
         __snake_case					:   Union[str, Any]  				=			msg['path']
         __snake_case					:   List[Any]  				=			msg['action']['href']
         __snake_case					:   int  				=			msg['action']['header']
         __snake_case					:   Dict  				=			int(header.pop('chunk_size'))
         __snake_case					:   List[str]  				=			list(header.values())

         __snake_case					:   List[Any]  				=			[]
         for i, presigned_url in enumerate(__a):
            with FileSlice(__a       , seek_from=i * chunk_size       , read_limit=__a) as data:
               __snake_case					:   Optional[Any]  				=			requests.put(__a       , data=__a)
               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.

         __snake_case					:   Optional[int]  				=			requests.post(
             __a       , json={
                 'oid': oid,
                 'parts': parts,
             }       , )
         r.raise_for_status()

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







'''simple docstring'''






import os
import unittest

from transformers import ElectraTokenizerFast
from transformers.models.electra.tokenization_electra import (
    VOCAB_FILES_NAMES,
    BasicTokenizer,
    ElectraTokenizer,
    WordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english




@require_tokenizers
class a_     (     UpperCamelCase_		,   unittest.TestCase				):
   _snake_case	   =				ElectraTokenizer
   _snake_case	   =				ElectraTokenizerFast
   _snake_case	   =				True
   _snake_case	   =				True
   _snake_case	   =				filter_non_english







   def      SCREAMING_SNAKE_CASE__       (self)      ->   Tuple:
      """simple docstring"""






      super().setUp()

      __snake_case					:   List[Any]  				=			[
          '[UNK]',
          '[CLS]',
          '[SEP]',
          '[PAD]',
          '[MASK]',
          'want',
          '##want',
          '##ed',
          'wa',
          'un',
          'runn',
          '##ing',
          ',',
          'low',
          'lowest',
      ]
      __snake_case					:   int  				=			os.path.join(self.tmpdirname       , VOCAB_FILES_NAMES['vocab_file'])
      with open(self.vocab_file       , 'w'       , encoding='utf-8') as vocab_writer:
         vocab_writer.write(''.join([x + '\n' for x in vocab_tokens]))







   def      SCREAMING_SNAKE_CASE__       (self       , __a)      ->   int:
      """simple docstring"""






      __snake_case					:   Union[str, Any]  				=			'UNwant\u00E9d,running'
      __snake_case					:   Tuple  				=			'unwanted, running'
      return input_text, output_text







   def      SCREAMING_SNAKE_CASE__       (self)      ->   List[str]:
      """simple docstring"""






      __snake_case					:   Union[str, Any]  				=			self.tokenizer_class(self.vocab_file)

      __snake_case					:   str  				=			tokenizer.tokenize('UNwant\u00E9d,running')
      self.assertListEqual(__a       , ['un', '##want', '##ed', ',', 'runn', '##ing'])
      self.assertListEqual(tokenizer.convert_tokens_to_ids(__a)       , [9, 6, 7, 1_2, 1_0, 1_1])







   def      SCREAMING_SNAKE_CASE__       (self)      ->   List[str]:
      """simple docstring"""






      if not self.test_rust_tokenizer:
         return

      __snake_case					:   Union[str, Any]  				=			self.get_tokenizer()
      __snake_case					:   Dict  				=			self.get_rust_tokenizer()

      __snake_case					:   Dict  				=			'UNwant\u00E9d,running'

      __snake_case					:   Tuple  				=			tokenizer.tokenize(__a)
      __snake_case					:   List[Any]  				=			rust_tokenizer.tokenize(__a)
      self.assertListEqual(__a       , __a)

      __snake_case					:   Any  				=			tokenizer.encode(__a       , add_special_tokens=__a)
      __snake_case					:   int  				=			rust_tokenizer.encode(__a       , add_special_tokens=__a)
      self.assertListEqual(__a       , __a)

      __snake_case					:   List[str]  				=			self.get_rust_tokenizer()
      __snake_case					:   Optional[int]  				=			tokenizer.encode(__a)
      __snake_case					:   Dict  				=			rust_tokenizer.encode(__a)
      self.assertListEqual(__a       , __a)

      # With lower casing
      __snake_case					:   Union[str, Any]  				=			self.get_tokenizer(do_lower_case=__a)
      __snake_case					:   List[Any]  				=			self.get_rust_tokenizer(do_lower_case=__a)

      __snake_case					:   List[str]  				=			'UNwant\u00E9d,running'

      __snake_case					:   List[Any]  				=			tokenizer.tokenize(__a)
      __snake_case					:   Union[str, Any]  				=			rust_tokenizer.tokenize(__a)
      self.assertListEqual(__a       , __a)

      __snake_case					:   List[str]  				=			tokenizer.encode(__a       , add_special_tokens=__a)
      __snake_case					:   int  				=			rust_tokenizer.encode(__a       , add_special_tokens=__a)
      self.assertListEqual(__a       , __a)

      __snake_case					:   List[Any]  				=			self.get_rust_tokenizer()
      __snake_case					:   Optional[Any]  				=			tokenizer.encode(__a)
      __snake_case					:   Tuple  				=			rust_tokenizer.encode(__a)
      self.assertListEqual(__a       , __a)







   def      SCREAMING_SNAKE_CASE__       (self)      ->   int:
      """simple docstring"""






      __snake_case					:   int  				=			BasicTokenizer()

      self.assertListEqual(tokenizer.tokenize('ah\u535A\u63A8zz')       , ['ah', '\u535A', '\u63A8', 'zz'])







   def      SCREAMING_SNAKE_CASE__       (self)      ->   Tuple:
      """simple docstring"""






      __snake_case					:   Optional[Any]  				=			BasicTokenizer(do_lower_case=__a)

      self.assertListEqual(
          tokenizer.tokenize(' \tHeLLo!how  \n Are yoU?  ')       , ['hello', '!', 'how', 'are', 'you', '?'])
      self.assertListEqual(tokenizer.tokenize('H\u00E9llo')       , ['hello'])







   def      SCREAMING_SNAKE_CASE__       (self)      ->   Tuple:
      """simple docstring"""






      __snake_case					:   Any  				=			BasicTokenizer(do_lower_case=__a       , strip_accents=__a)

      self.assertListEqual(
          tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  ')       , ['hällo', '!', 'how', 'are', 'you', '?'])
      self.assertListEqual(tokenizer.tokenize('H\u00E9llo')       , ['h\u00E9llo'])







   def      SCREAMING_SNAKE_CASE__       (self)      ->   str:
      """simple docstring"""






      __snake_case					:   Optional[Any]  				=			BasicTokenizer(do_lower_case=__a       , strip_accents=__a)

      self.assertListEqual(
          tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  ')       , ['hallo', '!', 'how', 'are', 'you', '?'])
      self.assertListEqual(tokenizer.tokenize('H\u00E9llo')       , ['hello'])







   def      SCREAMING_SNAKE_CASE__       (self)      ->   str:
      """simple docstring"""






      __snake_case					:   Tuple  				=			BasicTokenizer(do_lower_case=__a)

      self.assertListEqual(
          tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  ')       , ['hallo', '!', 'how', 'are', 'you', '?'])
      self.assertListEqual(tokenizer.tokenize('H\u00E9llo')       , ['hello'])







   def      SCREAMING_SNAKE_CASE__       (self)      ->   Union[str, Any]:
      """simple docstring"""






      __snake_case					:   Dict  				=			BasicTokenizer(do_lower_case=__a)

      self.assertListEqual(
          tokenizer.tokenize(' \tHeLLo!how  \n Are yoU?  ')       , ['HeLLo', '!', 'how', 'Are', 'yoU', '?'])







   def      SCREAMING_SNAKE_CASE__       (self)      ->   int:
      """simple docstring"""






      __snake_case					:   Union[str, Any]  				=			BasicTokenizer(do_lower_case=__a       , strip_accents=__a)

      self.assertListEqual(
          tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  ')       , ['HäLLo', '!', 'how', 'Are', 'yoU', '?'])







   def      SCREAMING_SNAKE_CASE__       (self)      ->   int:
      """simple docstring"""






      __snake_case					:   List[Any]  				=			BasicTokenizer(do_lower_case=__a       , strip_accents=__a)

      self.assertListEqual(
          tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  ')       , ['HaLLo', '!', 'how', 'Are', 'yoU', '?'])







   def      SCREAMING_SNAKE_CASE__       (self)      ->   str:
      """simple docstring"""






      __snake_case					:   Union[str, Any]  				=			BasicTokenizer(do_lower_case=__a       , never_split=['[UNK]'])

      self.assertListEqual(
          tokenizer.tokenize(' \tHeLLo!how  \n Are yoU? [UNK]')       , ['HeLLo', '!', 'how', 'Are', 'yoU', '?', '[UNK]'])







   def      SCREAMING_SNAKE_CASE__       (self)      ->   List[str]:
      """simple docstring"""






      __snake_case					:   Tuple  				=			['[UNK]', '[CLS]', '[SEP]', 'want', '##want', '##ed', 'wa', 'un', 'runn', '##ing']

      __snake_case					:   List[str]  				=			{}
      for i, token in enumerate(__a):
         __snake_case					:   str  				=			i
      __snake_case					:   List[str]  				=			WordpieceTokenizer(vocab=__a       , unk_token='[UNK]')

      self.assertListEqual(tokenizer.tokenize('')       , [])

      self.assertListEqual(tokenizer.tokenize('unwanted running')       , ['un', '##want', '##ed', 'runn', '##ing'])

      self.assertListEqual(tokenizer.tokenize('unwantedX running')       , ['[UNK]', 'runn', '##ing'])







   def      SCREAMING_SNAKE_CASE__       (self)      ->   Tuple:
      """simple docstring"""






      self.assertTrue(_is_whitespace(' '))
      self.assertTrue(_is_whitespace('\t'))
      self.assertTrue(_is_whitespace('\r'))
      self.assertTrue(_is_whitespace('\n'))
      self.assertTrue(_is_whitespace('\u00A0'))

      self.assertFalse(_is_whitespace('A'))
      self.assertFalse(_is_whitespace('-'))







   def      SCREAMING_SNAKE_CASE__       (self)      ->   List[str]:
      """simple docstring"""






      self.assertTrue(_is_control('\u0005'))

      self.assertFalse(_is_control('A'))
      self.assertFalse(_is_control(' '))
      self.assertFalse(_is_control('\t'))
      self.assertFalse(_is_control('\r'))







   def      SCREAMING_SNAKE_CASE__       (self)      ->   int:
      """simple docstring"""






      self.assertTrue(_is_punctuation('-'))
      self.assertTrue(_is_punctuation('$'))
      self.assertTrue(_is_punctuation('`'))
      self.assertTrue(_is_punctuation('.'))

      self.assertFalse(_is_punctuation('A'))
      self.assertFalse(_is_punctuation(' '))







   def      SCREAMING_SNAKE_CASE__       (self)      ->   Optional[Any]:
      """simple docstring"""






      __snake_case					:   Dict  				=			self.get_tokenizer()
      __snake_case					:   Dict  				=			self.get_rust_tokenizer()

      # Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
      self.assertListEqual([tokenizer.tokenize(__a) for t in ['Test', '\xad', 'test']]       , [['[UNK]'], [], ['[UNK]']])

      self.assertListEqual(
          [rust_tokenizer.tokenize(__a) for t in ['Test', '\xad', 'test']]       , [['[UNK]'], [], ['[UNK]']])







   @slow
   def      SCREAMING_SNAKE_CASE__       (self)      ->   Tuple:
      """simple docstring"""






      __snake_case					:   str  				=			self.tokenizer_class.from_pretrained('google/electra-base-discriminator')

      __snake_case					:   Optional[Any]  				=			tokenizer.encode('sequence builders'       , add_special_tokens=__a)
      __snake_case					:   List[Any]  				=			tokenizer.encode('multi-sequence build'       , add_special_tokens=__a)

      __snake_case					:   Tuple  				=			tokenizer.build_inputs_with_special_tokens(__a)
      __snake_case					:   int  				=			tokenizer.build_inputs_with_special_tokens(__a       , __a)

      assert encoded_sentence == [1_0_1] + text + [1_0_2]
      assert encoded_pair == [1_0_1] + text + [1_0_2] + text_a + [1_0_2]







   def      SCREAMING_SNAKE_CASE__       (self)      ->   Optional[int]:
      """simple docstring"""






      for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
         with self.subTest(F"""{tokenizer.__class__.__name__} ({pretrained_name})"""):
            __snake_case					:   str  				=			self.rust_tokenizer_class.from_pretrained(__a       , **__a)

            __snake_case					:   List[Any]  				=			F"""A, naïve {tokenizer_r.mask_token} AllenNLP sentence."""
            __snake_case					:   str  				=			tokenizer_r.encode_plus(
                __a       , return_attention_mask=__a       , return_token_type_ids=__a       , return_offsets_mapping=__a       , add_special_tokens=__a       , )

            __snake_case					:   int  				=			tokenizer_r.do_lower_case if hasattr(__a       , 'do_lower_case') else False
            __snake_case					:   Any  				=			(
                [
                    ((0, 0), tokenizer_r.cls_token),
                    ((0, 1), 'A'),
                    ((1, 2), ','),
                    ((3, 5), 'na'),
                    ((5, 6), '##ï'),
                    ((6, 8), '##ve'),
                    ((9, 1_5), tokenizer_r.mask_token),
                    ((1_6, 2_1), 'Allen'),
                    ((2_1, 2_3), '##NL'),
                    ((2_3, 2_4), '##P'),
                    ((2_5, 3_3), 'sentence'),
                    ((3_3, 3_4), '.'),
                    ((0, 0), tokenizer_r.sep_token),
                ]
                if not do_lower_case
                else [
                    ((0, 0), tokenizer_r.cls_token),
                    ((0, 1), 'a'),
                    ((1, 2), ','),
                    ((3, 8), 'naive'),
                    ((9, 1_5), tokenizer_r.mask_token),
                    ((1_6, 2_1), 'allen'),
                    ((2_1, 2_3), '##nl'),
                    ((2_3, 2_4), '##p'),
                    ((2_5, 3_3), 'sentence'),
                    ((3_3, 3_4), '.'),
                    ((0, 0), tokenizer_r.sep_token),
                ]
            )

            self.assertEqual(
                [e[1] for e in expected_results]       , tokenizer_r.convert_ids_to_tokens(tokens['input_ids']))
            self.assertEqual([e[0] for e in expected_results]       , tokens['offset_mapping'])







   def      SCREAMING_SNAKE_CASE__       (self)      ->   Any:
      """simple docstring"""






      __snake_case					:   str  				=			['的', '人', '有']
      __snake_case					:   str  				=			''.join(__a)
      for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
         with self.subTest(F"""{tokenizer.__class__.__name__} ({pretrained_name})"""):
            __snake_case					:   Tuple  				=			True
            __snake_case					:   str  				=			self.tokenizer_class.from_pretrained(__a       , **__a)
            __snake_case					:   Optional[int]  				=			self.rust_tokenizer_class.from_pretrained(__a       , **__a)

            __snake_case					:   List[str]  				=			tokenizer_p.encode(__a       , add_special_tokens=__a)
            __snake_case					:   Optional[Any]  				=			tokenizer_r.encode(__a       , add_special_tokens=__a)

            __snake_case					:   Union[str, Any]  				=			tokenizer_r.convert_ids_to_tokens(__a)
            __snake_case					:   List[Any]  				=			tokenizer_p.convert_ids_to_tokens(__a)

            # it is expected that each Chinese character is not preceded by "##"
            self.assertListEqual(__a       , __a)
            self.assertListEqual(__a       , __a)

            __snake_case					:   Optional[int]  				=			False
            __snake_case					:   Any  				=			self.rust_tokenizer_class.from_pretrained(__a       , **__a)
            __snake_case					:   List[str]  				=			self.tokenizer_class.from_pretrained(__a       , **__a)

            __snake_case					:   List[str]  				=			tokenizer_r.encode(__a       , add_special_tokens=__a)
            __snake_case					:   Optional[Any]  				=			tokenizer_p.encode(__a       , add_special_tokens=__a)

            __snake_case					:   List[str]  				=			tokenizer_r.convert_ids_to_tokens(__a)
            __snake_case					:   Optional[int]  				=			tokenizer_p.convert_ids_to_tokens(__a)

            # it is expected that only the first Chinese character is not preceded by "##".
            __snake_case					:   Any  				=			[
                F"""##{token}""" if idx != 0 else token for idx, token in enumerate(__a)
            ]
            self.assertListEqual(__a       , __a)
            self.assertListEqual(__a       , __a)