


from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfigWithPast
from ...utils import logging


_snake_case				=			logging.get_logger(__name__)

_snake_case				=			{
    'uclanlp/plbart-base': 'https://huggingface.co/uclanlp/plbart-base/resolve/main/config.json',
    # See all PLBART models at https://huggingface.co/models?filter=plbart
}




class  A_ (			__A  ):







 """simple docstring"""





 _UpperCamelCase					:			Optional[int]     	=       'plbart'
 _UpperCamelCase					:			Union[str, Any]     	=       ['past_key_values']
 _UpperCamelCase					:			List[str]     	=       {'num_attention_heads': 'encoder_attention_heads', 'hidden_size': 'd_model'}
 def __init__(      self       :			int							,     _a       :			List[str]=5_0_0_0_5							,     _a       :			Optional[Any]=1_0_2_4							,     _a       :			int=6							,     _a       :			Tuple=3_0_7_2							,     _a       :			Any=1_2							,     _a       :			Optional[Any]=6							,     _a       :			List[Any]=3_0_7_2							,     _a       :			int=1_2							,     _a       :			Tuple=0.0							,     _a       :			Union[str, Any]=0.0							,     _a       :			Dict=True							,     _a       :			Tuple=True							,     _a       :			Dict="gelu"							,     _a       :			Optional[int]=7_6_8							,     _a       :			Tuple=0.1							,     _a       :			int=0.1							,     _a       :			str=0.0							,     _a       :			int=0.0_2							,     _a       :			Optional[int]=0.0							,     _a       :			int=True							,     _a       :			int=1							,     _a       :			str=0							,     _a       :			Union[str, Any]=2							,     _a       :			Union[str, Any]=2							,     **_a       :			Optional[int]							,     )     ->      Any:
      UpperCAmelCase    :					Union[str, Any]			=      vocab_size
      UpperCAmelCase    :					List[str]			=      max_position_embeddings
      UpperCAmelCase    :					List[str]			=      d_model
      UpperCAmelCase    :					List[Any]			=      encoder_ffn_dim
      UpperCAmelCase    :					Dict			=      encoder_layers
      UpperCAmelCase    :					Optional[Any]			=      encoder_attention_heads
      UpperCAmelCase    :					Tuple			=      decoder_ffn_dim
      UpperCAmelCase    :					Optional[int]			=      decoder_layers
      UpperCAmelCase    :					Union[str, Any]			=      decoder_attention_heads
      UpperCAmelCase    :					List[Any]			=      dropout
      UpperCAmelCase    :					Tuple			=      attention_dropout
      UpperCAmelCase    :					int			=      activation_dropout
      UpperCAmelCase    :					Dict			=      activation_function
      UpperCAmelCase    :					Dict			=      init_std
      UpperCAmelCase    :					Optional[int]			=      encoder_layerdrop
      UpperCAmelCase    :					Tuple			=      decoder_layerdrop
      UpperCAmelCase    :					Dict			=      classifier_dropout
      UpperCAmelCase    :					Tuple			=      use_cache
      UpperCAmelCase    :					Dict			=      encoder_layers
      UpperCAmelCase    :					List[Any]			=      scale_embedding  # scale factor will be sqrt(d_model) if True
      super().__init__(
          pad_token_id=__snake_case							,     bos_token_id=__snake_case							,     eos_token_id=__snake_case							,     is_encoder_decoder=__snake_case							,     forced_eos_token_id=__snake_case							,     **__snake_case							,     )




class  A_ (			__A  ):







 """simple docstring"""





 @property
 def 	_UpperCamelCase     (      self       :			int					)     ->      Mapping[str, Mapping[int, str]]:
      return OrderedDict(
          [
              ("input_ids", {0: "batch", 1: "sequence"}),
              ("attention_mask", {0: "batch", 1: "sequence"}),
          ]					)

 @property
 def 	_UpperCamelCase     (      self       :			Optional[int]					)     ->      Mapping[str, Mapping[int, str]]:

      if self.use_past:
           return OrderedDict(
               [
                   ("last_hidden_state", {0: "batch", 1: "sequence"}),
                   ("past_keys", {0: "batch", 2: "sequence"}),
                   ("encoder_last_hidden_state", {0: "batch", 1: "sequence"}),
               ]					)
      else:
           return OrderedDict(
               [
                   ("last_hidden_state", {0: "batch", 1: "sequence"}),
                   ("encoder_last_hidden_state", {0: "batch", 1: "sequence"}),
               ]					)










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


__lowerCAmelCase			:Union[str, Any]	 =     'lfs-multipart-upload'






class 							_a(     __A     ):







		@staticmethod
		def 							lowercase							(     __snake_case					)   ->   Tuple:


							'''simple docstring'''

							_snake_case							:       Tuple												= 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=__snake_case			,    help="Local path to repository you want to configure."					)
							enable_parser.set_defaults(func=lambda __snake_case					: LfsEnableCommand(__snake_case					)					)

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






class 							_a:







		def __init__(     self			,    __snake_case					)   ->   Any:


							'''simple docstring'''

							_snake_case							:       List[Any]												= args







		def 							lowercase							(     self					)   ->   Dict:


							'''simple docstring'''

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







def  A					(				UpperCAmelCase					):
					_snake_case							:       str												= json.dumps(UpperCAmelCase					) + "\n"
					sys.stdout.write(UpperCAmelCase					)
					sys.stdout.flush()







def  A					(				):
					_snake_case							:       str												= 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(     __A     ):







		def __init__(     self			,    __snake_case			,    __snake_case			,    __snake_case					)   ->   Optional[int]:


							'''simple docstring'''

							_snake_case							:       int												= filepath
							_snake_case							:       Tuple												= seek_from
							_snake_case							:       int												= read_limit
							_snake_case							:       int												= 0







		def __enter__(     self					)   ->   Any:


							'''simple docstring'''

							_snake_case							:       Optional[Any]												= open(self.filepath			,    "rb"					)
							self.f.seek(self.seek_from					)
							return self







		def __len__(     self					)   ->   Dict:


							'''simple docstring'''

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







		def 							lowercase							(     self			,    __snake_case=-1					)   ->   Union[str, Any]:


							'''simple docstring'''

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







		def __iter__(     self					)   ->   int:


							'''simple docstring'''

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







		def __exit__(     self			,    *__snake_case					)   ->   List[str]:


							'''simple docstring'''

							self.f.close()






class 							_a:







		def __init__(     self			,    __snake_case					)   ->   List[str]:


							'''simple docstring'''

							_snake_case							:       Any												= args







		def 							lowercase							(     self					)   ->   str:


							'''simple docstring'''

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

												_snake_case							:       Any												= []
												for i, presigned_url in enumerate(__snake_case					):
																	with FileSlice(__snake_case			,    seek_from=i * chunk_size			,    read_limit=__snake_case					) as data:
																						_snake_case							:       List[str]												= requests.put(__snake_case			,    data=__snake_case					)
																						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[Any]												= requests.post(
												    __snake_case			,    json={
												        "oid": oid,
												        "parts": parts,
												    }			,    )
												r.raise_for_status()

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