


'''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


UpperCAmelCase_		:       List[str]							       =		logging.get_logger(__name__)  # pylint: disable=invalid-name


UpperCAmelCase_		:       List[Any]							       =		'lfs-multipart-upload'





class    lowercase__  (						_snake_case ):





							'''simple docstring'''


							@staticmethod
							def UpperCAmelCase_     (   __snake_case  ):
											_SCREAMING_SNAKE_CASE			:	Optional[Any]							=				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  )  )

											_SCREAMING_SNAKE_CASE			:	Optional[int]							=				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    lowercase__  :





							'''simple docstring'''


							def __init__(   self   , __snake_case  ):
											_SCREAMING_SNAKE_CASE			:	Optional[Any]							=				args






							def UpperCAmelCase_     (   self  ):
											warnings.warn(
											    """Managing repositories through transformers-cli is deprecated. Please use `huggingface-cli` instead."""  )
											_SCREAMING_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       snake_case_       (  SCREAMING_SNAKE_CASE__					):







				"""simple docstring"""





				_SCREAMING_SNAKE_CASE			:	Union[str, Any]							=				json.dumps(SCREAMING_SNAKE_CASE__					) + """\n"""
				sys.stdout.write(SCREAMING_SNAKE_CASE__					)
				sys.stdout.flush()







def       snake_case_       (  ):







				"""simple docstring"""





				_SCREAMING_SNAKE_CASE			:	int							=				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__  (						_snake_case ):





							'''simple docstring'''


							def __init__(   self   , __snake_case   , __snake_case   , __snake_case  ):
											_SCREAMING_SNAKE_CASE			:	Optional[int]							=				filepath
											_SCREAMING_SNAKE_CASE			:	Tuple							=				seek_from
											_SCREAMING_SNAKE_CASE			:	Optional[int]							=				read_limit
											_SCREAMING_SNAKE_CASE			:	Dict							=				0






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






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






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






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





class    lowercase__  :





							'''simple docstring'''


							def __init__(   self   , __snake_case  ):
											_SCREAMING_SNAKE_CASE			:	Dict							=				args






							def UpperCAmelCase_     (   self  ):
											# 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.
											_SCREAMING_SNAKE_CASE			:	int							=				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:
															_SCREAMING_SNAKE_CASE			:	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  )

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

															_SCREAMING_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:
																							_SCREAMING_SNAKE_CASE			:	Any							=				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.

															_SCREAMING_SNAKE_CASE			:	List[str]							=				requests.post(
															    __snake_case   , json={
															        """oid""": oid,
															        """parts""": parts,
															    }   , )
															r.raise_for_status()

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








'''simple docstring'''


from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCAmelCase_		:       Tuple							       =		logging.get_logger(__name__)

UpperCAmelCase_		:       List[Any]							       =		{
    # pcqm4mv1 now deprecated
    'graphormer-base': 'https://huggingface.co/clefourrier/graphormer-base-pcqm4mv2/resolve/main/config.json',
    # See all Graphormer models at https://huggingface.co/models?filter=graphormer
}





class    lowercase__  (						_snake_case ):





							'''simple docstring'''


							A_							:				Union[str, Any]				     =  """graphormer"""
							A_							:				Tuple				     =  ["""past_key_values"""]






							def __init__(   self   , __snake_case = 1   , __snake_case = 512 * 9   , __snake_case = 512 * 3   , __snake_case = 512   , __snake_case = 512   , __snake_case = 512   , __snake_case = 128   , __snake_case = 5   , __snake_case = 1024   , __snake_case = "multi_hop"   , __snake_case = 512   , __snake_case = False   , __snake_case = 12   , __snake_case = 768   , __snake_case = 768   , __snake_case = 32   , __snake_case = 0.1   , __snake_case = 0.1   , __snake_case = 0.0   , __snake_case = False   , __snake_case = False   , __snake_case = False   , __snake_case = "gelu"   , __snake_case = None   , __snake_case = False   , __snake_case = 0   , __snake_case = False   , __snake_case = 0.0   , __snake_case = 8   , __snake_case = None   , __snake_case = None   , __snake_case = True   , __snake_case = True   , __snake_case=0   , __snake_case=1   , __snake_case=2   , **__snake_case   , ):
											_SCREAMING_SNAKE_CASE			:	Dict							=				num_classes
											_SCREAMING_SNAKE_CASE			:	Dict							=				num_atoms
											_SCREAMING_SNAKE_CASE			:	Dict							=				num_in_degree
											_SCREAMING_SNAKE_CASE			:	Optional[int]							=				num_out_degree
											_SCREAMING_SNAKE_CASE			:	Any							=				num_edges
											_SCREAMING_SNAKE_CASE			:	Optional[Any]							=				num_spatial
											_SCREAMING_SNAKE_CASE			:	Optional[Any]							=				num_edge_dis
											_SCREAMING_SNAKE_CASE			:	int							=				edge_type
											_SCREAMING_SNAKE_CASE			:	Tuple							=				multi_hop_max_dist
											_SCREAMING_SNAKE_CASE			:	Optional[Any]							=				spatial_pos_max
											_SCREAMING_SNAKE_CASE			:	Union[str, Any]							=				max_nodes
											_SCREAMING_SNAKE_CASE			:	str							=				num_hidden_layers
											_SCREAMING_SNAKE_CASE			:	Optional[int]							=				embedding_dim
											_SCREAMING_SNAKE_CASE			:	Optional[int]							=				embedding_dim
											_SCREAMING_SNAKE_CASE			:	int							=				ffn_embedding_dim
											_SCREAMING_SNAKE_CASE			:	Dict							=				num_attention_heads
											_SCREAMING_SNAKE_CASE			:	Optional[int]							=				dropout
											_SCREAMING_SNAKE_CASE			:	List[str]							=				attention_dropout
											_SCREAMING_SNAKE_CASE			:	int							=				layerdrop
											_SCREAMING_SNAKE_CASE			:	List[Any]							=				encoder_normalize_before
											_SCREAMING_SNAKE_CASE			:	Union[str, Any]							=				pre_layernorm
											_SCREAMING_SNAKE_CASE			:	Union[str, Any]							=				apply_graphormer_init
											_SCREAMING_SNAKE_CASE			:	List[str]							=				activation_fn
											_SCREAMING_SNAKE_CASE			:	Union[str, Any]							=				embed_scale
											_SCREAMING_SNAKE_CASE			:	Optional[int]							=				freeze_embeddings
											_SCREAMING_SNAKE_CASE			:	Optional[Any]							=				num_trans_layers_to_freeze
											_SCREAMING_SNAKE_CASE			:	List[Any]							=				share_input_output_embed
											_SCREAMING_SNAKE_CASE			:	Tuple							=				traceable
											_SCREAMING_SNAKE_CASE			:	List[str]							=				q_noise
											_SCREAMING_SNAKE_CASE			:	str							=				qn_block_size

											# These parameters are here for future extensions
											# atm, the model only supports self attention
											_SCREAMING_SNAKE_CASE			:	Any							=				kdim
											_SCREAMING_SNAKE_CASE			:	int							=				vdim
											_SCREAMING_SNAKE_CASE			:	Any							=				self_attention
											_SCREAMING_SNAKE_CASE			:	Tuple							=				bias

											super().__init__(
											    pad_token_id=__snake_case   , bos_token_id=__snake_case   , eos_token_id=__snake_case   , **__snake_case   , )




