

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


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


__A	:   Tuple	=					'lfs-multipart-upload'


class 			_SCREAMING_SNAKE_CASE      (  lowerCAmelCase__):







						@staticmethod
						def        _snake_case				(			_SCREAMING_SNAKE_CASE							)->							Any:
													lowerCamelCase_								=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=_SCREAMING_SNAKE_CASE     ,						help="""Local path to repository you want to configure."""							)
													enable_parser.set_defaults(func=lambda _SCREAMING_SNAKE_CASE							: LfsEnableCommand(_SCREAMING_SNAKE_CASE							)							)

													lowerCamelCase_								=parser.add_parser(
													    _SCREAMING_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 _SCREAMING_SNAKE_CASE							: LfsUploadCommand(_SCREAMING_SNAKE_CASE							)							)


class 			_SCREAMING_SNAKE_CASE      :







						def __init__(			self     ,						_SCREAMING_SNAKE_CASE							)->							Optional[int]:
													lowerCamelCase_								=args







						def        _snake_case				(			self							)->							str:
													warnings.warn(
													    """Managing repositories through transformers-cli is deprecated. Please use `huggingface-cli` instead."""							)
													lowerCamelCase_								=os.path.abspath(self.args.path							)
													if not os.path.isdir(_SCREAMING_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=_SCREAMING_SNAKE_CASE     ,						cwd=_SCREAMING_SNAKE_CASE							)
													subprocess.run(
													    f'git config lfs.customtransfer.multipart.args {LFS_MULTIPART_UPLOAD_COMMAND}'.split()     ,						check=_SCREAMING_SNAKE_CASE     ,						cwd=_SCREAMING_SNAKE_CASE     ,						)
													print("""Local repo set up for largefiles"""							)




def        __UpperCamelCase     (      _A					:							Dict		)				->Dict:



							"""simple docstring"""
							lowerCamelCase_								=json.dumps(_A		) + """\n"""
							sys.stdout.write(_A		)
							sys.stdout.flush()




def        __UpperCamelCase     (      )				->Optional[Dict]:



							"""simple docstring"""
							lowerCamelCase_								=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      (  lowerCAmelCase__):







						def __init__(			self     ,						_SCREAMING_SNAKE_CASE     ,						_SCREAMING_SNAKE_CASE     ,						_SCREAMING_SNAKE_CASE							)->							Tuple:
													lowerCamelCase_								=filepath
													lowerCamelCase_								=seek_from
													lowerCamelCase_								=read_limit
													lowerCamelCase_								=0







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







						def __len__(			self							)->							List[str]:
													lowerCamelCase_								=os.fstat(self.f.fileno()							).st_size
													return min(self.read_limit     ,						total_length - self.seek_from							)







						def        _snake_case				(			self     ,						_SCREAMING_SNAKE_CASE=-1							)->							List[Any]:
													if self.n_seen >= self.read_limit:
																				return b""
													lowerCamelCase_								=self.read_limit - self.n_seen
													lowerCamelCase_								=self.f.read(remaining_amount if n < 0 else min(_SCREAMING_SNAKE_CASE     ,						_SCREAMING_SNAKE_CASE							)							)
													self.n_seen += len(_SCREAMING_SNAKE_CASE							)
													return data







						def __iter__(			self							)->							List[str]:
													yield self.read(n=4 * 1024 * 1024							)







						def __exit__(			self     ,						*_SCREAMING_SNAKE_CASE							)->							List[str]:
													self.f.close()


class 			_SCREAMING_SNAKE_CASE      :







						def __init__(			self     ,						_SCREAMING_SNAKE_CASE							)->							str:
													lowerCamelCase_								=args







						def        _snake_case				(			self							)->							str:
													# 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_								=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:
																				lowerCamelCase_								=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_								=msg["""oid"""]
																				lowerCamelCase_								=msg["""path"""]
																				lowerCamelCase_								=msg["""action"""]["""href"""]
																				lowerCamelCase_								=msg["""action"""]["""header"""]
																				lowerCamelCase_								=int(header.pop("""chunk_size"""							)							)
																				lowerCamelCase_								=list(header.values()							)

																				lowerCamelCase_								=[]
																				for i, presigned_url in enumerate(_SCREAMING_SNAKE_CASE							):
																											with FileSlice(_SCREAMING_SNAKE_CASE     ,						seek_from=i * chunk_size     ,						read_limit=_SCREAMING_SNAKE_CASE							) as data:
																																		lowerCamelCase_								=requests.put(_SCREAMING_SNAKE_CASE     ,						data=_SCREAMING_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.

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

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



from collections import OrderedDict
from typing import Mapping

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


__A	:   List[Any]	=					logging.get_logger(__name__)

__A	:   Tuple	=					{
    'google/electra-small-generator': 'https://huggingface.co/google/electra-small-generator/resolve/main/config.json',
    'google/electra-base-generator': 'https://huggingface.co/google/electra-base-generator/resolve/main/config.json',
    'google/electra-large-generator': 'https://huggingface.co/google/electra-large-generator/resolve/main/config.json',
    'google/electra-small-discriminator': (
        'https://huggingface.co/google/electra-small-discriminator/resolve/main/config.json'
    ),
    'google/electra-base-discriminator': (
        'https://huggingface.co/google/electra-base-discriminator/resolve/main/config.json'
    ),
    'google/electra-large-discriminator': (
        'https://huggingface.co/google/electra-large-discriminator/resolve/main/config.json'
    ),
}


class 			_SCREAMING_SNAKE_CASE      (  lowerCAmelCase__):
						_UpperCamelCase:Tuple	=		"electra"







						def __init__(			self     ,						_SCREAMING_SNAKE_CASE=3_0522     ,						_SCREAMING_SNAKE_CASE=128     ,						_SCREAMING_SNAKE_CASE=256     ,						_SCREAMING_SNAKE_CASE=12     ,						_SCREAMING_SNAKE_CASE=4     ,						_SCREAMING_SNAKE_CASE=1024     ,						_SCREAMING_SNAKE_CASE="gelu"     ,						_SCREAMING_SNAKE_CASE=0.1     ,						_SCREAMING_SNAKE_CASE=0.1     ,						_SCREAMING_SNAKE_CASE=512     ,						_SCREAMING_SNAKE_CASE=2     ,						_SCREAMING_SNAKE_CASE=0.0_2     ,						_SCREAMING_SNAKE_CASE=1E-12     ,						_SCREAMING_SNAKE_CASE="first"     ,						_SCREAMING_SNAKE_CASE=True     ,						_SCREAMING_SNAKE_CASE="gelu"     ,						_SCREAMING_SNAKE_CASE=0.1     ,						_SCREAMING_SNAKE_CASE=0     ,						_SCREAMING_SNAKE_CASE="absolute"     ,						_SCREAMING_SNAKE_CASE=True     ,						_SCREAMING_SNAKE_CASE=None     ,						**_SCREAMING_SNAKE_CASE     ,						)->							Optional[int]:
													super().__init__(pad_token_id=_SCREAMING_SNAKE_CASE     ,						**_SCREAMING_SNAKE_CASE							)

													lowerCamelCase_								=vocab_size
													lowerCamelCase_								=embedding_size
													lowerCamelCase_								=hidden_size
													lowerCamelCase_								=num_hidden_layers
													lowerCamelCase_								=num_attention_heads
													lowerCamelCase_								=intermediate_size
													lowerCamelCase_								=hidden_act
													lowerCamelCase_								=hidden_dropout_prob
													lowerCamelCase_								=attention_probs_dropout_prob
													lowerCamelCase_								=max_position_embeddings
													lowerCamelCase_								=type_vocab_size
													lowerCamelCase_								=initializer_range
													lowerCamelCase_								=layer_norm_eps

													lowerCamelCase_								=summary_type
													lowerCamelCase_								=summary_use_proj
													lowerCamelCase_								=summary_activation
													lowerCamelCase_								=summary_last_dropout
													lowerCamelCase_								=position_embedding_type
													lowerCamelCase_								=use_cache
													lowerCamelCase_								=classifier_dropout


class 			_SCREAMING_SNAKE_CASE      (  lowerCAmelCase__):







						@property
						def        _snake_case				(			self							)->							Mapping[str, Mapping[int, str]]:
													if self.task == "multiple-choice":
																				lowerCamelCase_								={0: """batch""", 1: """choice""", 2: """sequence"""}
													else:
																				lowerCamelCase_								={0: """batch""", 1: """sequence"""}
													return OrderedDict(
													    [
													        ("""input_ids""", dynamic_axis),
													        ("""attention_mask""", dynamic_axis),
													        ("""token_type_ids""", dynamic_axis),
													    ]							)
