
'''simple docstring'''





import json
import os
import unittest

from transformers.models.gpt_neox_japanese.tokenization_gpt_neox_japanese import (
    VOCAB_FILES_NAMES,
    GPTNeoXJapaneseTokenizer,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin





@require_tokenizers
class 							A__	(			__lowerCamelCase						,     unittest.TestCase):
      _UpperCAmelCase       :					List[str]					 =    GPTNeoXJapaneseTokenizer
      _UpperCAmelCase       :					List[Any]					 =    False
      _UpperCAmelCase       :					int					 =    {'do_clean_text': False, 'add_prefix_space': False}
      def 		UpperCamelCase__							(   self   ):
       super().setUp()

       lowerCamelCase	:			Tuple           =   [
           """こん""",
           """こんに""",
           """にちは""",
           """ばんは""",
           """世界,㔺界""",
           """、""",
           """。""",
           """<BR>""",
           """<SP>""",
           """<TAB>""",
           """<URL>""",
           """<EMAIL>""",
           """<TEL>""",
           """<DATE>""",
           """<PRICE>""",
           """<BLOCK>""",
           """<KIGOU>""",
           """<U2000U2BFF>""",
           """<|emoji1|>""",
           """<unk>""",
           """<|startoftext|>""",
           """<|endoftext|>""",
       ]
       lowerCamelCase	:			Optional[Any]           =   {"""emoji""": {"""\ud83d\ude00""": """<|emoji1|>"""}, """emoji_inv""": {"""<|emoji1|>""": """\ud83d\ude00"""}}  # 😀
       lowerCamelCase	:			List[str]           =   {"""unk_token""": """<unk>"""}

       lowerCamelCase	:			Union[str, Any]           =   os.path.join(self.tmpdirname					,						VOCAB_FILES_NAMES["""vocab_file"""]   )
       lowerCamelCase	:			Optional[Any]           =   os.path.join(self.tmpdirname					,						VOCAB_FILES_NAMES["""emoji_file"""]   )
       with open(self.vocab_file					,						"""w"""					,						encoding="""utf-8"""   ) as vocab_writer:
        vocab_writer.write("""""".join([x + """\n""" for x in vocab_tokens]   )   )
       with open(self.emoji_file					,						"""w"""   ) as emoji_writer:
        emoji_writer.write(json.dumps(__magic_name__   )   )
      def 		UpperCamelCase__							(   self					,						**__magic_name__   ):
       kwargs.update(self.special_tokens_map   )
       return GPTNeoXJapaneseTokenizer.from_pretrained(self.tmpdirname					,						**__magic_name__   )
      def 		UpperCamelCase__							(   self					,						__magic_name__   ):
       lowerCamelCase	:			Optional[Any]           =   """こんにちは、世界。 \nこんばんは、㔺界。😀"""
       lowerCamelCase	:			str           =   """こんにちは、世界。 \nこんばんは、世界。😀"""
       return input_text, output_text
      def 		UpperCamelCase__							(   self					,						__magic_name__   ):
       lowerCamelCase    ,					lowerCamelCase	:			List[str]           =   self.get_input_output_texts(__magic_name__   )
       lowerCamelCase	:			List[str]           =   tokenizer.encode(__magic_name__					,						add_special_tokens=__magic_name__   )
       lowerCamelCase	:			int           =   tokenizer.decode(__magic_name__					,						clean_up_tokenization_spaces=__magic_name__   )
       return text, ids
      def 		UpperCamelCase__							(   self   ):
       pass  # TODO add if relevant
      def 		UpperCamelCase__							(   self   ):
       pass  # TODO add if relevant
      def 		UpperCamelCase__							(   self   ):
       pass  # TODO add if relevant
      def 		UpperCamelCase__							(   self   ):
       lowerCamelCase	:			List[Any]           =   self.get_tokenizer()

       # Testing tokenization
       lowerCamelCase	:			Tuple           =   """こんにちは、世界。　こんばんは、㔺界。"""
       lowerCamelCase	:			Optional[Any]           =   ["""こん""", """にちは""", """、""", """世界""", """。""", """<SP>""", """こん""", """ばんは""", """、""", """㔺界""", """。"""]
       lowerCamelCase	:			Optional[int]           =   tokenizer.tokenize(__magic_name__   )
       self.assertListEqual(__magic_name__					,						__magic_name__   )

       # Testing conversion to ids without special tokens
       lowerCamelCase	:			List[str]           =   [0, 2, 5, 4, 6, 8, 0, 3, 5, 4, 6]
       lowerCamelCase	:			List[Any]           =   tokenizer.convert_tokens_to_ids(__magic_name__   )
       self.assertListEqual(__magic_name__					,						__magic_name__   )

       # Testing conversion to ids with special tokens
       lowerCamelCase	:			Union[str, Any]           =   tokens + [tokenizer.unk_token]
       lowerCamelCase	:			Dict           =   [0, 2, 5, 4, 6, 8, 0, 3, 5, 4, 6, 1_9]
       lowerCamelCase	:			int           =   tokenizer.convert_tokens_to_ids(__magic_name__   )
       self.assertListEqual(__magic_name__					,						__magic_name__   )
      @slow
      def 		UpperCamelCase__							(   self   ):
       lowerCamelCase	:			Union[str, Any]           =   self.tokenizer_class.from_pretrained("""abeja/gpt-neox-japanese-2.7b"""   )

       lowerCamelCase	:			List[str]           =   tokenizer.encode("""ありがとう。"""					,						add_special_tokens=__magic_name__   )
       lowerCamelCase	:			Any           =   tokenizer.encode("""どういたしまして。"""					,						add_special_tokens=__magic_name__   )

       lowerCamelCase	:			Tuple           =   tokenizer.build_inputs_with_special_tokens(__magic_name__   )
       lowerCamelCase	:			List[str]           =   tokenizer.build_inputs_with_special_tokens(__magic_name__					,						__magic_name__   )

       assert encoded_sentence == ids_a
       assert encoded_pair == ids_a + ids_a
      def 		UpperCamelCase__							(   self   ):
       pass






      def 		UpperCamelCase__							(   self   ):
       pass






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


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


_lowerCamelCase           ="""lfs-multipart-upload"""





class 							A__	(			__SCREAMING_SNAKE_CASE):
      @staticmethod
      def 		UpperCamelCase__							(   __magic_name__   ):
       lowerCamelCase	:			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=__magic_name__					,						help="""Local path to repository you want to configure."""   )
       enable_parser.set_defaults(func=lambda __magic_name__   : LfsEnableCommand(__magic_name__   )   )

       lowerCamelCase	:			Union[str, Any]           =   parser.add_parser(
           __magic_name__					,						help=(
               """Deprecated: use `huggingface-cli` instead. """
               """Command will get called by git-lfs, do not call it directly."""
           )					,						)
       upload_parser.set_defaults(func=lambda __magic_name__   : LfsUploadCommand(__magic_name__   )   )





class 							A__	:
      def __init__(   self					,						__magic_name__   ):
       lowerCamelCase	:			int           =   args






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





def 					_a      (		lowerCamelCase							):
 lowerCamelCase	:			Dict           =   json.dumps(lowerCamelCase							) + """\n"""
 sys.stdout.write(lowerCamelCase							)
 sys.stdout.flush()





def 					_a      (		):
 lowerCamelCase	:			Tuple           =   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__	(			__SCREAMING_SNAKE_CASE):
      def __init__(   self					,						__magic_name__					,						__magic_name__					,						__magic_name__   ):
       lowerCamelCase	:			List[str]           =   filepath
       lowerCamelCase	:			Dict           =   seek_from
       lowerCamelCase	:			str           =   read_limit
       lowerCamelCase	:			Tuple           =   0
      def __enter__(   self   ):
       lowerCamelCase	:			str           =   open(self.filepath					,						"""rb"""   )
       self.f.seek(self.seek_from   )
       return self
      def __len__(   self   ):
       lowerCamelCase	:			Any           =   os.fstat(self.f.fileno()   ).st_size
       return min(self.read_limit					,						total_length - self.seek_from   )
      def 		UpperCamelCase__							(   self					,						__magic_name__=-1   ):
       if self.n_seen >= self.read_limit:
        return b""
       lowerCamelCase	:			Tuple           =   self.read_limit - self.n_seen
       lowerCamelCase	:			Dict           =   self.f.read(remaining_amount if n < 0 else min(__magic_name__					,						__magic_name__   )   )
       self.n_seen += len(__magic_name__   )
       return data
      def __iter__(   self   ):
       yield self.read(n=4 * 1_0_2_4 * 1_0_2_4   )






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





class 							A__	:
      def __init__(   self					,						__magic_name__   ):
       lowerCamelCase	:			Dict           =   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.
       lowerCamelCase	:			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:
        lowerCamelCase	:			Dict           =   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   )

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

        lowerCamelCase	:			str           =   []
        for i, presigned_url in enumerate(__magic_name__   ):
         with FileSlice(__magic_name__					,						seek_from=i * chunk_size					,						read_limit=__magic_name__   ) as data:
          lowerCamelCase	:			Dict           =   requests.put(__magic_name__					,						data=__magic_name__   )
          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.

        lowerCamelCase	:			Optional[Any]           =   requests.post(
            __magic_name__					,						json={
                """oid""": oid,
                """parts""": parts,
            }					,						)
        r.raise_for_status()

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




