


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    _a				(							_lowercase):




	@staticmethod
	def 				UpperCAmelCase__(   _SCREAMING_SNAKE_CASE		:						ArgumentParser						)->			Optional[Any]:
			lowerCAmelCase__  :     Optional[int]       	=   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__  :     Any       	=   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    _a				:




	def __init__(   self		:						Dict						,   _SCREAMING_SNAKE_CASE		:						str						)->			Tuple:
			lowerCAmelCase__  :     Dict       	=   args




	def 				UpperCAmelCase__(   self		:						List[str]						)->			int:
			warnings.warn(
			    '''Managing repositories through transformers-cli is deprecated. Please use `huggingface-cli` instead.'''						)
			lowerCAmelCase__  :     Tuple       	=   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 	lowerCamelCase_       (			_a			):




		"""simple docstring"""






		lowerCAmelCase__  :     List[Any]       	=   json.dumps(_a			) + '''\n'''
		sys.stdout.write(_a			)
		sys.stdout.flush()






def 	lowerCamelCase_       (			):




		"""simple docstring"""






		lowerCAmelCase__  :     Dict       	=   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				(							_lowercase):




	def __init__(   self		:						Optional[Any]						,   _SCREAMING_SNAKE_CASE		:						str						,   _SCREAMING_SNAKE_CASE		:						int						,   _SCREAMING_SNAKE_CASE		:						int						)->			Any:
			lowerCAmelCase__  :     Optional[int]       	=   filepath
			lowerCAmelCase__  :     str       	=   seek_from
			lowerCAmelCase__  :     Union[str, Any]       	=   read_limit
			lowerCAmelCase__  :     Optional[Any]       	=   0




	def __enter__(   self		:						Dict						)->			Tuple:
			lowerCAmelCase__  :     Any       	=   open(self.filepath						,   '''rb'''						)
			self.f.seek(self.seek_from						)
			return self




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




	def 				UpperCAmelCase__(   self		:						List[str]						,   _SCREAMING_SNAKE_CASE		:						List[Any]=-1						)->			Optional[int]:
			if self.n_seen >= self.read_limit:
					return b""
			lowerCAmelCase__  :     Optional[int]       	=   self.read_limit - self.n_seen
			lowerCAmelCase__  :     str       	=   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]						)->			Optional[Any]:
			yield self.read(n=4 * 1024 * 1024						)




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





class    _a				:




	def __init__(   self		:						Any						,   _SCREAMING_SNAKE_CASE		:						str						)->			Union[str, Any]:
			lowerCAmelCase__  :     int       	=   args




	def 				UpperCAmelCase__(   self		:						List[Any]						)->			Optional[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.
			lowerCAmelCase__  :     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''': 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__  :     List[str]       	=   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__  :     Optional[Any]       	=   msg['''oid''']
					lowerCAmelCase__  :     List[Any]       	=   msg['''path''']
					lowerCAmelCase__  :     int       	=   msg['''action''']['''href''']
					lowerCAmelCase__  :     Optional[Any]       	=   msg['''action''']['''header''']
					lowerCAmelCase__  :     Optional[int]       	=   int(header.pop('''chunk_size'''						)						)
					lowerCAmelCase__  :     List[str]       	=   list(header.values()						)

					lowerCAmelCase__  :     Optional[Any]       	=   []
					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__  :     Optional[Any]       	=   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__  :     List[str]       	=   requests.post(
					    _SCREAMING_SNAKE_CASE						,   json={
					        '''oid''': oid,
					        '''parts''': parts,
					    }						,   )
					r.raise_for_status()

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








import os

from packaging import version

from .. import __version__
from .accelerate_utils import apply_forward_hook
from .constants import (
    CONFIG_NAME,
    DEPRECATED_REVISION_ARGS,
    DIFFUSERS_CACHE,
    DIFFUSERS_DYNAMIC_MODULE_NAME,
    FLAX_WEIGHTS_NAME,
    HF_MODULES_CACHE,
    HUGGINGFACE_CO_RESOLVE_ENDPOINT,
    ONNX_EXTERNAL_WEIGHTS_NAME,
    ONNX_WEIGHTS_NAME,
    SAFETENSORS_WEIGHTS_NAME,
    TEXT_ENCODER_ATTN_MODULE,
    WEIGHTS_NAME,
)
from .deprecation_utils import deprecate
from .doc_utils import replace_example_docstring
from .dynamic_modules_utils import get_class_from_dynamic_module
from .hub_utils import (
    HF_HUB_OFFLINE,
    _add_variant,
    _get_model_file,
    extract_commit_hash,
    http_user_agent,
)
from .import_utils import (
    BACKENDS_MAPPING,
    ENV_VARS_TRUE_AND_AUTO_VALUES,
    ENV_VARS_TRUE_VALUES,
    USE_JAX,
    USE_TF,
    USE_TORCH,
    DummyObject,
    OptionalDependencyNotAvailable,
    is_accelerate_available,
    is_accelerate_version,
    is_bsa_available,
    is_flax_available,
    is_ftfy_available,
    is_inflect_available,
    is_invisible_watermark_available,
    is_k_diffusion_available,
    is_k_diffusion_version,
    is_librosa_available,
    is_note_seq_available,
    is_omegaconf_available,
    is_onnx_available,
    is_safetensors_available,
    is_scipy_available,
    is_tensorboard_available,
    is_tf_available,
    is_torch_available,
    is_torch_version,
    is_torchsde_available,
    is_transformers_available,
    is_transformers_version,
    is_unidecode_available,
    is_wandb_available,
    is_xformers_available,
    requires_backends,
)
from .logging import get_logger
from .outputs import BaseOutput
from .pil_utils import PIL_INTERPOLATION, numpy_to_pil, pt_to_pil
from .torch_utils import is_compiled_module, randn_tensor


if is_torch_available():
		from .testing_utils import (
		    floats_tensor,
		    load_hf_numpy,
		    load_image,
		    load_numpy,
		    load_pt,
		    nightly,
		    parse_flag_from_env,
		    print_tensor_test,
		    require_torch_a,
		    require_torch_gpu,
		    skip_mps,
		    slow,
		    torch_all_close,
		    torch_device,
		)
		from .torch_utils import maybe_allow_in_graph

from .testing_utils import export_to_gif, export_to_video


lowerCamelCase		=						get_logger(__name__)






def 	lowerCamelCase_       (			_a			):




		"""simple docstring"""






		if version.parse(_a			) < version.parse(_a			):
				if "dev" in min_version:
						lowerCAmelCase__  :     Tuple       	=   (
						    '''This example requires a source install from HuggingFace diffusers (see '''
						    '''`https://huggingface.co/docs/diffusers/installation#install-from-source`),'''
						)
				else:
						lowerCAmelCase__  :     Dict       	=   f'This example requires a minimum version of {min_version},'
				error_message += f' but the version found is {__version__}.\n'
				raise ImportError(_a			)




