






"""simple docstring"""



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


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


_snake_case							:   List[Any]	  =       "lfs-multipart-upload"




class 							__lowercase(							__UpperCamelCase	):






						@staticmethod
						def 		lowerCAmelCase (       _SCREAMING_SNAKE_CASE)      ->	str:




											"""simple docstring"""





											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 _SCREAMING_SNAKE_CASE: 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 _SCREAMING_SNAKE_CASE: LfsUploadCommand(_lowerCAmelCase))




class 							__lowercase:






						def __init__(       self     ,    _SCREAMING_SNAKE_CASE)      ->	List[Any]:




											"""simple docstring"""





											lowerCamelCase__					=args






						def 		lowerCAmelCase (       self)      ->	int:




											"""simple docstring"""





											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     lowerCamelCase_					(	__A	:		Dict      ):
					lowerCamelCase__					=json.dumps(__SCREAMING_SNAKE_CASE      ) + """\n"""
					sys.stdout.write(__SCREAMING_SNAKE_CASE      )
					sys.stdout.flush()




def     lowerCamelCase_					(	):
					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 							__lowercase(							__UpperCamelCase	):






						def __init__(       self     ,    _SCREAMING_SNAKE_CASE     ,    _SCREAMING_SNAKE_CASE     ,    _SCREAMING_SNAKE_CASE)      ->	Optional[Any]:




											"""simple docstring"""





											lowerCamelCase__					=filepath
											lowerCamelCase__					=seek_from
											lowerCamelCase__					=read_limit
											lowerCamelCase__					=0






						def __enter__(       self)      ->	List[Any]:




											"""simple docstring"""





											lowerCamelCase__					=open(self.filepath     ,    'rb')
											self.f.seek(self.seek_from)
											return self






						def __len__(       self)      ->	List[Any]:




											"""simple docstring"""





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






						def 		lowerCAmelCase (       self     ,    _SCREAMING_SNAKE_CASE=-1)      ->	Optional[int]:




											"""simple docstring"""





											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)      ->	Tuple:




											"""simple docstring"""





											yield self.read(n=4 * 10_24 * 10_24)






						def __exit__(       self     ,    *_SCREAMING_SNAKE_CASE)      ->	Optional[Any]:




											"""simple docstring"""





											self.f.close()




class 							__lowercase:






						def __init__(       self     ,    _SCREAMING_SNAKE_CASE)      ->	int:




											"""simple docstring"""





											lowerCamelCase__					=args






						def 		lowerCAmelCase (       self)      ->	str:




											"""simple docstring"""





											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})
import warnings

from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding







class      SCREAMING_SNAKE_CASE__					(  __UpperCamelCase    ):
       A							:	Optional[Any]          =	["image_processor", "tokenizer"]
       A							:	Dict          =	"VideoMAEImageProcessor"
       A							:	Tuple          =	("CLIPTokenizer", "CLIPTokenizerFast")

       def __init__(							self					:     str			,			_lowerCAmelCase					:     Tuple=None			,			_lowerCAmelCase					:     Any=None			,			**_lowerCAmelCase					:     Union[str, Any]			):
           __snake_case       :				int 			=    None
           if "feature_extractor" in kwargs:
               warnings.warn(
                   """The `feature_extractor` argument is deprecated and will be removed in v5, use `image_processor`"""
                   """ instead."""			,			_lowerCAmelCase			,			)
               __snake_case       :				Optional[Any] 			=    kwargs.pop("""feature_extractor"""			)

           __snake_case       :				int 			=    image_processor if image_processor is not None else feature_extractor
           if image_processor is None:
               raise ValueError("""You need to specify an `image_processor`."""			)
           if tokenizer is None:
               raise ValueError("""You need to specify a `tokenizer`."""			)

           super().__init__(_lowerCAmelCase			,			_lowerCAmelCase			)
           __snake_case       :				Optional[Any] 			=    self.image_processor

       def __call__(							self					:     str			,			_lowerCAmelCase					:     int=None			,			_lowerCAmelCase					:     Dict=None			,			_lowerCAmelCase					:     Optional[int]=None			,			**_lowerCAmelCase					:     List[str]			):

           if text is None and videos is None:
               raise ValueError("""You have to specify either text or videos. Both cannot be none."""			)

           if text is not None:
               __snake_case       :				Optional[Any] 			=    self.tokenizer(_lowerCAmelCase			,			return_tensors=_lowerCAmelCase			,			**_lowerCAmelCase			)

           if videos is not None:
               __snake_case       :				Optional[int] 			=    self.image_processor(_lowerCAmelCase			,			return_tensors=_lowerCAmelCase			,			**_lowerCAmelCase			)

           if text is not None and videos is not None:
               __snake_case       :				Union[str, Any] 			=    image_features.pixel_values
               return encoding
           elif text is not None:
               return encoding
           else:
               return BatchEncoding(data=dict(**_lowerCAmelCase			)			,			tensor_type=_lowerCAmelCase			)

       def 			snake_case__    (							self					:     Tuple			,			*_lowerCAmelCase					:     str			,			**_lowerCAmelCase					:     List[Any]			):
           return self.tokenizer.batch_decode(*_lowerCAmelCase			,			**_lowerCAmelCase			)

       def 			snake_case__    (							self					:     Tuple			,			*_lowerCAmelCase					:     List[Any]			,			**_lowerCAmelCase					:     Dict			):
           return self.tokenizer.decode(*_lowerCAmelCase			,			**_lowerCAmelCase			)

       @property
       def 			snake_case__    (							self					:     str			):
           return ["input_ids", "attention_mask", "position_ids", "pixel_values"]

       @property
       def 			snake_case__    (							self					:     str			):
           warnings.warn(
               """`feature_extractor_class` is deprecated and will be removed in v5. Use `image_processor_class` instead."""			,			_lowerCAmelCase			,			)
           return self.image_processor_class





       @property
       def 			snake_case__    (							self					:     Union[str, Any]			):
           warnings.warn(
               """`feature_extractor` is deprecated and will be removed in v5. Use `image_processor` instead."""			,			_lowerCAmelCase			,			)
           return self.image_processor



