





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


A_        =  "lfs-multipart-upload"

class SCREAMING_SNAKE_CASE_			(       snake_case_ ):





					"""simple docstring"""


					@staticmethod
					def        __magic_name__			(			_lowerCAmelCase						):
										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=_lowerCAmelCase						,	help="Local path to repository you want to configure."						)
										enable_parser.set_defaults(func=lambda _lowerCAmelCase						: LfsEnableCommand(_lowerCAmelCase						)						)

										lowerCamelCase__      =							parser.add_parser(
										    _lowerCAmelCase						,	help=(
										        "Deprecated: use `huggingface-cli` instead. "
										        "Command will get called by git-lfs, do not call it directly."
										    )						,	)
										upload_parser.set_defaults(func=lambda _lowerCAmelCase						: LfsUploadCommand(_lowerCAmelCase						)						)

class SCREAMING_SNAKE_CASE_			:





					"""simple docstring"""


					def __init__(			self						,	_lowerCAmelCase						):
										lowerCamelCase__      =							args






					def        __magic_name__			(			self						):
										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(_lowerCAmelCase						):
															print("This does not look like a valid git repo."						)
															exit(1						)
										subprocess.run(
										    "git config lfs.customtransfer.multipart.path transformers-cli".split()						,	check=_lowerCAmelCase						,	cwd=_lowerCAmelCase						)
										subprocess.run(
										    F"git config lfs.customtransfer.multipart.args {LFS_MULTIPART_UPLOAD_COMMAND}".split()						,	check=_lowerCAmelCase						,	cwd=_lowerCAmelCase						,	)
										print("Local repo set up for largefiles"						)





def  __UpperCamelCase   (     a)			->Any:
					lowerCamelCase__      =							json.dumps(__lowerCamelCase) + "\n"
					sys.stdout.write(__lowerCamelCase)
					sys.stdout.flush()





def  __UpperCamelCase   (     )			->int:
					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_			(       snake_case_ ):





					"""simple docstring"""


					def __init__(			self						,	_lowerCAmelCase						,	_lowerCAmelCase						,	_lowerCAmelCase						):
										lowerCamelCase__      =							filepath
										lowerCamelCase__      =							seek_from
										lowerCamelCase__      =							read_limit
										lowerCamelCase__      =							0





					def __enter__(			self						):
										lowerCamelCase__      =							open(self.filepath						,	"rb"						)
										self.f.seek(self.seek_from						)
										return self





					def __len__(			self						):
										lowerCamelCase__      =							os.fstat(self.f.fileno()						).st_size
										return min(self.read_limit						,	total_length - self.seek_from						)





					def        __magic_name__			(			self						,	_lowerCAmelCase=-1						):






										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(_lowerCAmelCase						,	_lowerCAmelCase						)						)
										self.n_seen += len(_lowerCAmelCase						)
										return data





					def __iter__(			self						):
										yield self.read(n=4 * 1024 * 1024						)






					def __exit__(			self						,	*_lowerCAmelCase						):
										self.f.close()

class SCREAMING_SNAKE_CASE_			:





					"""simple docstring"""


					def __init__(			self						,	_lowerCAmelCase						):
										lowerCamelCase__      =							args






					def        __magic_name__			(			self						):
										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(_lowerCAmelCase						):
																				with FileSlice(_lowerCAmelCase						,	seek_from=i * chunk_size						,	read_limit=_lowerCAmelCase						) as data:
																									lowerCamelCase__      =							requests.put(_lowerCAmelCase						,	data=_lowerCAmelCase						)
																									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(
															    _lowerCAmelCase						,	json={
															        "oid": oid,
															        "parts": parts,
															    }						,	)
															r.raise_for_status()

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





from typing import TYPE_CHECKING

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


SCREAMING_SNAKE_CASE__       			=				{
    """configuration_markuplm""": ["""MARKUPLM_PRETRAINED_CONFIG_ARCHIVE_MAP""", """MarkupLMConfig"""],
    """feature_extraction_markuplm""": ["""MarkupLMFeatureExtractor"""],
    """processing_markuplm""": ["""MarkupLMProcessor"""],
    """tokenization_markuplm""": ["""MarkupLMTokenizer"""],
}

try:
							if not is_tokenizers_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							SCREAMING_SNAKE_CASE__       			=				["""MarkupLMTokenizerFast"""]

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							SCREAMING_SNAKE_CASE__       			=				[
							    """MARKUPLM_PRETRAINED_MODEL_ARCHIVE_LIST""",
							    """MarkupLMForQuestionAnswering""",
							    """MarkupLMForSequenceClassification""",
							    """MarkupLMForTokenClassification""",
							    """MarkupLMModel""",
							    """MarkupLMPreTrainedModel""",
							]


if TYPE_CHECKING:
							from .configuration_markuplm import MARKUPLM_PRETRAINED_CONFIG_ARCHIVE_MAP, MarkupLMConfig
							from .feature_extraction_markuplm import MarkupLMFeatureExtractor
							from .processing_markuplm import MarkupLMProcessor
							from .tokenization_markuplm import MarkupLMTokenizer

							try:
														if not is_tokenizers_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .tokenization_markuplm_fast import MarkupLMTokenizerFast

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_markuplm import (
														    MARKUPLM_PRETRAINED_MODEL_ARCHIVE_LIST,
														    MarkupLMForQuestionAnswering,
														    MarkupLMForSequenceClassification,
														    MarkupLMForTokenClassification,
														    MarkupLMModel,
														    MarkupLMPreTrainedModel,
														)


else:
							import sys

							SCREAMING_SNAKE_CASE__       			=				_LazyModule(__name__, globals()["""__file__"""], _import_structure)

