






'''simple docstring'''

import os

import numpy
import onnx






def 	_UpperCAmelCase    (  a		:	Optional[Any]						,			a		:	Any							)			->			List[str]:





						"""simple docstring"""
						lowercase_      :   Optional[Any]        =			a.name
						lowercase_      :   List[str]        =			b.name

						lowercase_      :   int        =			''
						lowercase_      :   Dict        =			''

						lowercase_      :   Optional[Any]        =			a == b

						lowercase_      :   Optional[Any]        =			name_a
						lowercase_      :   Optional[Any]        =			name_b

						return res






def 	_UpperCAmelCase    (  a		:	Any						,			a		:	Optional[Any]						,			a		:	Any							)			->			Union[str, Any]:





						"""simple docstring"""
						for i, input_name in enumerate(node_proto.input							):
												if input_name == name:
																		node_proto.input.insert(a						,			a							)
																		node_proto.input.pop(i + 1							)

						if node_proto.op_type == "If":
												_graph_replace_input_with(node_proto.attribute[0].g						,			a						,			a							)
												_graph_replace_input_with(node_proto.attribute[1].g						,			a						,			a							)
						if node_proto.op_type == "Loop":
												_graph_replace_input_with(node_proto.attribute[0].g						,			a						,			a							)






def 	_UpperCAmelCase    (  a		:	Dict						,			a		:	Union[str, Any]						,			a		:	Any							)			->			Tuple:





						"""simple docstring"""
						for n in graph_proto.node:
												_node_replace_input_with(a						,			a						,			a							)






def 	_UpperCAmelCase    (  a		:	List[Any]						,			a		:	Dict						,			a		:	str							)			->			List[Any]:





						"""simple docstring"""
						lowercase_      :   Tuple        =			list(model.graph.initializer							)
						lowercase_      :   List[str]        =			list(model_without_ext.graph.initializer							)
						for i, ref_i in ind_to_replace:
												assert inits_with_data[i].name == inits[i].name
												assert inits_with_data[ref_i].name == inits[ref_i].name
												assert i > ref_i

												lowercase_      :   List[str]        =			inits[i].name
												lowercase_      :   Dict        =			inits[ref_i].name

												model_without_ext.graph.initializer.remove(inits[i]							)

												# for n in model.graph.node:
												_graph_replace_input_with(model_without_ext.graph						,			a						,			a							)






def 	_UpperCAmelCase    (  a		:	List[Any]							)			->			str:





						"""simple docstring"""
						lowercase_      :   List[Any]        =			os.path.dirname(a							)
						lowercase_      :   List[str]        =			os.path.basename(a							)

						lowercase_      :   Dict        =			onnx.load(os.path.join(a						,			a							)							)

						lowercase_      :   Optional[int]        =			list(model.graph.initializer							)

						lowercase_      :   Tuple        =			set()
						lowercase_      :   int        =			{}
						lowercase_      :   Optional[Any]        =			[]

						lowercase_      :   Optional[Any]        =			0

						for i in range(len(a							)							):
												if i in dup_set:
																		continue

												for j in range(i + 1						,			len(a							)							):
																		if j in dup_set:
																								continue
																		if _is_equal_tensor_proto(inits[i]						,			inits[j]							):
																								dup_set.add(a							)
																								dup_set.add(a							)

																								lowercase_      :   Any        =			inits[j].data_type
																								lowercase_      :   Dict        =			numpy.prod(inits[j].dims							)
																								if dtype == 1:
																														mem_size *= 4
																								elif dtype == 6:
																														mem_size *= 4
																								elif dtype == 7 or dtype == 1_1:
																														mem_size *= 8
																								else:
																														print('unexpected data type: '						,			a							)
																								total_reduced_size += mem_size

																								lowercase_      :   List[str]        =			inits[i].name
																								lowercase_      :   List[Any]        =			inits[j].name

																								if name_i in dup_map:
																														dup_map[name_i].append(a							)
																								else:
																														lowercase_      :   str        =			[name_j]
																								ind_to_replace.append((j, i)							)

						print('total reduced size: '						,			total_reduced_size / 1_0_2_4 / 1_0_2_4 / 1_0_2_4						,			'GB'							)

						lowercase_      :   Optional[Any]        =			sorted(a							)
						_remove_dup_initializers_from_model(a						,			a						,			a							)

						lowercase_      :   Dict        =			'optimized_' + model_file_name
						lowercase_      :   str        =			os.path.join(a						,			a							)
						onnx.save(a						,			a							)

						return new_model








'''simple docstring'''

from pathlib import PurePosixPath
from typing import Optional

import fsspec
from fsspec import AbstractFileSystem
from huggingface_hub.hf_api import DatasetInfo

from ..utils.file_utils import get_authentication_headers_for_url
from ..utils.hub import hf_hub_url






class 							__magic_name__     (	UpperCAmelCase_				):







	"""simple docstring"""



	SCREAMING_SNAKE_CASE_					:      Union[str, Any]        =  ''
	SCREAMING_SNAKE_CASE_					:      Union[str, Any]        =  'hf-legacy'  # "hf://"" is reserved for hffs
	def __init__(							self  ,      _lowercase = None  ,      _lowercase = None  ,      **_lowercase  ,      )						->  Optional[Any]:
							super().__init__(self  ,      **_lowercase       )
							lowercase_      :   int        =			repo_info
							lowercase_      :   List[Any]        =			token
							lowercase_      :   Union[str, Any]        =			None
	def        lowerCamelCase__		(							self       )						->  Optional[Any]:
							if self.dir_cache is None:
													lowercase_      :   Optional[Any]        =			{}
													for hf_file in self.repo_info.siblings:
																			# TODO(QL): add sizes
																			lowercase_      :   str        =			{
																			    'name': hf_file.rfilename,
																			    'size': None,
																			    'type': 'file',
																			}
																			self.dir_cache.update(
																			    {
																			        str(_lowercase       ): {'name': str(_lowercase       ), 'size': None, 'type': 'directory'}
																			        for d in list(PurePosixPath(hf_file.rfilename       ).parents       )[:-1]
																			    }       )
	def        lowerCamelCase__		(							self  ,      _lowercase  ,      _lowercase = "rb"  ,      **_lowercase  ,      )						->  Dict:
							if not isinstance(self.repo_info  ,      _lowercase       ):
													raise NotImplementedError(f"Open is only implemented for dataset repositories, but got {self.repo_info}"       )
							lowercase_      :   Optional[int]        =			hf_hub_url(self.repo_info.id  ,      _lowercase  ,      revision=self.repo_info.sha       )
							return fsspec.open(
							    _lowercase  ,      mode=_lowercase  ,      headers=get_authentication_headers_for_url(_lowercase  ,      use_auth_token=self.token       )  ,      client_kwargs={'trust_env': True}  ,      ).open()
	def        lowerCamelCase__		(							self  ,      _lowercase  ,      **_lowercase       )						->  Tuple:
							self._get_dirs()
							lowercase_      :   str        =			self._strip_protocol(_lowercase       )
							if path in self.dir_cache:
													return self.dir_cache[path]
							else:
													raise FileNotFoundError(_lowercase       )







	def        lowerCamelCase__		(							self  ,      _lowercase  ,      _lowercase=False  ,      **_lowercase       )						->  List[str]:
							self._get_dirs()
							lowercase_      :   List[str]        =			PurePosixPath(path.strip('/'       )       )
							lowercase_      :   List[str]        =			{}
							for p, f in self.dir_cache.items():
													lowercase_      :   Tuple        =			PurePosixPath(p.strip('/'       )       )
													lowercase_      :   Optional[int]        =			p.parent
													if root == path:
																			lowercase_      :   List[str]        =			f
							lowercase_      :   List[str]        =			list(paths.values()       )
							if detail:
													return out
							else:
													return sorted(f['name'] for f in out       )
