
'''simple docstring'''





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


_lowerCamelCase           ={
    "configuration_imagegpt": ["IMAGEGPT_PRETRAINED_CONFIG_ARCHIVE_MAP", "ImageGPTConfig", "ImageGPTOnnxConfig"]
}

try:
      if not is_vision_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      _lowerCamelCase           =["ImageGPTFeatureExtractor"]
      _lowerCamelCase           =["ImageGPTImageProcessor"]

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      _lowerCamelCase           =[
          "IMAGEGPT_PRETRAINED_MODEL_ARCHIVE_LIST",
          "ImageGPTForCausalImageModeling",
          "ImageGPTForImageClassification",
          "ImageGPTModel",
          "ImageGPTPreTrainedModel",
          "load_tf_weights_in_imagegpt",
      ]


if TYPE_CHECKING:
      from .configuration_imagegpt import IMAGEGPT_PRETRAINED_CONFIG_ARCHIVE_MAP, ImageGPTConfig, ImageGPTOnnxConfig

      try:
            if not is_vision_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .feature_extraction_imagegpt import ImageGPTFeatureExtractor
            from .image_processing_imagegpt import ImageGPTImageProcessor

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_imagegpt import (
                IMAGEGPT_PRETRAINED_MODEL_ARCHIVE_LIST,
                ImageGPTForCausalImageModeling,
                ImageGPTForImageClassification,
                ImageGPTModel,
                ImageGPTPreTrainedModel,
                load_tf_weights_in_imagegpt,
            )

else:
      import sys

      _lowerCamelCase           =_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)






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}   )




