



import argparse

from transformers import ConvBertConfig, ConvBertModel, TFConvBertModel, load_tf_weights_in_convbert
from transformers.utils import logging


logging.set_verbosity_info()






def 						_lowerCAmelCase    (					__lowerCamelCase :  Dict		,						__lowerCamelCase :  List[str]		,						__lowerCamelCase :  Tuple  ):



 """simple docstring"""





 __SCREAMING_SNAKE_CASE							:     Tuple							=						ConvBertConfig.from_json_file(__lowerCamelCase  )
 __SCREAMING_SNAKE_CASE							:     Optional[int]							=						ConvBertModel(__lowerCamelCase  )

 __SCREAMING_SNAKE_CASE							:     List[str]							=						load_tf_weights_in_convbert(__lowerCamelCase		,						__lowerCamelCase		,						__lowerCamelCase  )
 model.save_pretrained(__lowerCamelCase  )

 __SCREAMING_SNAKE_CASE							:     Optional[int]							=						TFConvBertModel.from_pretrained(__lowerCamelCase		,						from_pt=__lowerCamelCase  )
 tf_model.save_pretrained(__lowerCamelCase  )


if __name__ == "__main__":
      _lowerCamelCase         =	argparse.ArgumentParser()
      # Required parameters
      parser.add_argument(
          """--tf_checkpoint_path""", default=None, type=str, required=True, help="""Path to the TensorFlow checkpoint path."""
      )
      parser.add_argument(
          """--convbert_config_file""",
          default=None,
          type=str,
          required=True,
          help=(
              """The config json file corresponding to the pre-trained ConvBERT model. \n"""
              """This specifies the model architecture."""
          ),
      )
      parser.add_argument(
          """--pytorch_dump_path""", default=None, type=str, required=True, help="""Path to the output PyTorch model."""
      )
      _lowerCamelCase         =	parser.parse_args()
      convert_orig_tfa_checkpoint_to_pytorch(args.tf_checkpoint_path, args.convbert_config_file, args.pytorch_dump_path)











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    _SCREAMING_SNAKE_CASE						(UpperCamelCase			):





     @staticmethod
     def 						__snake_case     (							UpperCamelCase			:				ArgumentParser					)->Any:
      __SCREAMING_SNAKE_CASE							:     Union[str, 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=UpperCamelCase  ,	help="Local path to repository you want to configure."					)
      enable_parser.set_defaults(func=lambda UpperCamelCase					: LfsEnableCommand(UpperCamelCase					)					)

      __SCREAMING_SNAKE_CASE							:     Optional[int]							=						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 UpperCamelCase					: LfsUploadCommand(UpperCamelCase					)					)






class    _SCREAMING_SNAKE_CASE						:





     def __init__(							self			:				Union[str, Any]  ,	UpperCamelCase			:				List[Any]					)->List[str]:
      __SCREAMING_SNAKE_CASE							:     str							=						args






     def 						__snake_case     (							self			:				Union[str, Any]					)->List[Any]:
      warnings.warn(
          "Managing repositories through transformers-cli is deprecated. Please use `huggingface-cli` instead."					)
      __SCREAMING_SNAKE_CASE							:     List[Any]							=						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 						_lowerCAmelCase    (					__lowerCamelCase :  Dict  ):



 """simple docstring"""





 __SCREAMING_SNAKE_CASE							:     List[str]							=						json.dumps(__lowerCamelCase  ) + "\n"
 sys.stdout.write(__lowerCamelCase  )
 sys.stdout.flush()






def 						_lowerCAmelCase    (					):



 """simple docstring"""





 __SCREAMING_SNAKE_CASE							:     Optional[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    _SCREAMING_SNAKE_CASE						(UpperCamelCase			):





     def __init__(							self			:				str  ,	UpperCamelCase			:				str  ,	UpperCamelCase			:				int  ,	UpperCamelCase			:				int					)->int:
      __SCREAMING_SNAKE_CASE							:     Optional[int]							=						filepath
      __SCREAMING_SNAKE_CASE							:     List[str]							=						seek_from
      __SCREAMING_SNAKE_CASE							:     Optional[Any]							=						read_limit
      __SCREAMING_SNAKE_CASE							:     int							=						0





     def __enter__(							self			:				Optional[Any]					)->int:
      __SCREAMING_SNAKE_CASE							:     int							=						open(self.filepath  ,	"rb"					)
      self.f.seek(self.seek_from					)
      return self





     def __len__(							self			:				int					)->Dict:
      __SCREAMING_SNAKE_CASE							:     str							=						os.fstat(self.f.fileno()					).st_size
      return min(self.read_limit  ,	total_length - self.seek_from					)





     def 						__snake_case     (							self			:				Any  ,	UpperCamelCase			:				List[str]=-1					)->Optional[Any]:
      if self.n_seen >= self.read_limit:
       return b""
      __SCREAMING_SNAKE_CASE							:     Optional[Any]							=						self.read_limit - self.n_seen
      __SCREAMING_SNAKE_CASE							:     Union[str, Any]							=						self.f.read(remaining_amount if n < 0 else min(UpperCamelCase  ,	UpperCamelCase					)					)
      self.n_seen += len(UpperCamelCase					)
      return data





     def __iter__(							self			:				Optional[Any]					)->Any:
      yield self.read(n=4 * 1_0_2_4 * 1_0_2_4					)






     def __exit__(							self			:				Tuple  ,	*UpperCamelCase			:				int					)->str:
      self.f.close()






class    _SCREAMING_SNAKE_CASE						:





     def __init__(							self			:				List[str]  ,	UpperCamelCase			:				Optional[int]					)->Optional[int]:
      __SCREAMING_SNAKE_CASE							:     Any							=						args






     def 						__snake_case     (							self			:				int					)->int:
      # 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.
      __SCREAMING_SNAKE_CASE							:     Optional[Any]							=						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:
       __SCREAMING_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					)

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

       __SCREAMING_SNAKE_CASE							:     List[str]							=						[]
       for i, presigned_url in enumerate(UpperCamelCase					):
        with FileSlice(UpperCamelCase  ,	seek_from=i * chunk_size  ,	read_limit=UpperCamelCase					) as data:
         __SCREAMING_SNAKE_CASE							:     Union[str, Any]							=						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.

       __SCREAMING_SNAKE_CASE							:     Union[str, Any]							=						requests.post(
           UpperCamelCase  ,	json={
               "oid": oid,
               "parts": parts,
           }  ,	)
       r.raise_for_status()

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






