


'''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


__lowercase:		List[str]							=     logging.get_logger(__name__)  # pylint: disable=invalid-name


__lowercase:		Optional[Any]							=     "lfs-multipart-upload"







class  UpperCAmelCase (       SCREAMING_SNAKE_CASE__):

 @staticmethod
 def 		lowercase_						( a_ :	ArgumentParser					):





    """simple docstring"""



    UpperCamelCase__ 						=						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_					)					)

    UpperCamelCase__ 						=						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  UpperCAmelCase :

 def __init__( self :	Any,					a_ :	Any					):





    """simple docstring"""



    UpperCamelCase__ 						=						args

 def 		lowercase_						( self :	str					):





    """simple docstring"""



    warnings.warn(
        "Managing repositories through transformers-cli is deprecated. Please use `huggingface-cli` instead."					)
    UpperCamelCase__ 						=						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__(		_UpperCamelCase      :				Dict   )		->					Union[str, Any]:





   '''simple docstring'''







   UpperCamelCase__ 						=						json.dumps(_UpperCamelCase   ) + "\n"
   sys.stdout.write(_UpperCamelCase   )
   sys.stdout.flush()



def        SCREAMING_SNAKE_CASE__(		)		->					Optional[Dict]:





   '''simple docstring'''







   UpperCamelCase__ 						=						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  UpperCAmelCase (       SCREAMING_SNAKE_CASE__):

 def __init__( self :	int,					a_ :	str,					a_ :	int,					a_ :	int					):





    """simple docstring"""



    UpperCamelCase__ 						=						filepath
    UpperCamelCase__ 						=						seek_from
    UpperCamelCase__ 						=						read_limit
    UpperCamelCase__ 						=						0

 def __enter__( self :	Optional[int]					):





    """simple docstring"""



    UpperCamelCase__ 						=						open(self.filepath,					"rb"					)
    self.f.seek(self.seek_from					)
    return self

 def __len__( self :	Union[str, Any]					):





    """simple docstring"""



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

 def 		lowercase_						( self :	Union[str, Any],					a_ :	Tuple=-1					):





    """simple docstring"""



    if self.n_seen >= self.read_limit:
       return b""
    UpperCamelCase__ 						=						self.read_limit - self.n_seen
    UpperCamelCase__ 						=						self.f.read(remaining_amount if n < 0 else min(a_,					a_					)					)
    self.n_seen += len(a_					)
    return data

 def __iter__( self :	str					):





    """simple docstring"""



    yield self.read(n=4 * 1024 * 1024					)

 def __exit__( self :	str,					*a_ :	Dict					):





    """simple docstring"""



    self.f.close()







class  UpperCAmelCase :

 def __init__( self :	List[str],					a_ :	List[str]					):





    """simple docstring"""



    UpperCamelCase__ 						=						args

 def 		lowercase_						( self :	str					):





    """simple docstring"""



    UpperCamelCase__ 						=						json.loads(sys.stdin.readline().strip()					)
    if not (init_msg.get("event"					) == "init" and init_msg.get("operation"					) == "upload"):
       write_msg({"error": {"code": 32, "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:
       UpperCamelCase__ 						=						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					)

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

       UpperCamelCase__ 						=						[]
       for i, presigned_url in enumerate(a_					):
          with FileSlice(a_,					seek_from=i * chunk_size,					read_limit=a_					) as data:
             UpperCamelCase__ 						=						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.

       UpperCamelCase__ 						=						requests.post(
           a_,					json={
               "oid": oid,
               "parts": parts,
           },					)
       r.raise_for_status()

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



'''simple docstring'''

from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_tokenizers_available,
    is_torch_available,
)


__lowercase:		int							=     {
    "configuration_open_llama": ["OPEN_LLAMA_PRETRAINED_CONFIG_ARCHIVE_MAP", "OpenLlamaConfig"],
}

try:
       if not is_sentencepiece_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       __lowercase:		str							=     ["LlamaTokenizer"]

try:
       if not is_tokenizers_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       __lowercase:		List[Any]							=     ["LlamaTokenizerFast"]

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       __lowercase:		Union[str, Any]							=     [
           "OpenLlamaForCausalLM",
           "OpenLlamaModel",
           "OpenLlamaPreTrainedModel",
           "OpenLlamaForSequenceClassification",
       ]


if TYPE_CHECKING:
       from .configuration_open_llama import OPEN_LLAMA_PRETRAINED_CONFIG_ARCHIVE_MAP, OpenLlamaConfig

       try:
              if not is_sentencepiece_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from transformers import LlamaTokenizer

       try:
              if not is_tokenizers_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from transformers import LlamaTokenizerFast

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_open_llama import (
                  OpenLlamaForCausalLM,
                  OpenLlamaForSequenceClassification,
                  OpenLlamaModel,
                  OpenLlamaPreTrainedModel,
              )


else:
       import sys

       __lowercase:		Tuple							=     _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)