
"""simple docstring"""





import os

import numpy
import onnx







def 	__a     (		__lowerCamelCase,		__lowerCamelCase  ):
   UpperCAmelCase_					:					Any			     =    a.name
   UpperCAmelCase_					:					Optional[Any]			     =    b.name

   UpperCAmelCase_					:					str			     =    ""
   UpperCAmelCase_					:					Optional[Any]			     =    ""

   UpperCAmelCase_					:					Optional[Any]			     =    a == b

   UpperCAmelCase_					:					str			     =    name_a
   UpperCAmelCase_					:					str			     =    name_b

   return res







def 	__a     (		__lowerCamelCase,		__lowerCamelCase,		__lowerCamelCase  ):
   for i, input_name in enumerate(node_proto.input  ):
      if input_name == name:
         node_proto.input.insert(__lowerCamelCase,		__lowerCamelCase  )
         node_proto.input.pop(i + 1  )

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







def 	__a     (		__lowerCamelCase,		__lowerCamelCase,		__lowerCamelCase  ):
   for n in graph_proto.node:
      _node_replace_input_with(__lowerCamelCase,		__lowerCamelCase,		__lowerCamelCase  )







def 	__a     (		__lowerCamelCase,		__lowerCamelCase,		__lowerCamelCase  ):
   UpperCAmelCase_					:					List[str]			     =    list(model.graph.initializer  )
   UpperCAmelCase_					:					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

      UpperCAmelCase_					:					List[Any]			     =    inits[i].name
      UpperCAmelCase_					:					List[Any]			     =    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,		__lowerCamelCase,		__lowerCamelCase  )







def 	__a     (		__lowerCamelCase  ):
   UpperCAmelCase_					:					int			     =    os.path.dirname(__lowerCamelCase  )
   UpperCAmelCase_					:					Optional[Any]			     =    os.path.basename(__lowerCamelCase  )

   UpperCAmelCase_					:					Optional[int]			     =    onnx.load(os.path.join(__lowerCamelCase,		__lowerCamelCase  )  )

   UpperCAmelCase_					:					Optional[Any]			     =    list(model.graph.initializer  )

   UpperCAmelCase_					:					str			     =    set()
   UpperCAmelCase_					:					Optional[Any]			     =    {}
   UpperCAmelCase_					:					Union[str, Any]			     =    []

   UpperCAmelCase_					:					str			     =    0

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

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

            UpperCAmelCase_					:					Any			     =    inits[j].data_type
            UpperCAmelCase_					:					Dict			     =    numpy.prod(inits[j].dims  )
            if dtype == 1:
               mem_size *= 4
            elif dtype == 6:
               mem_size *= 4
            elif dtype == 7 or dtype == 11:
               mem_size *= 8
            else:
               print("unexpected data type: ",		__lowerCamelCase  )
            total_reduced_size += mem_size

            UpperCAmelCase_					:					List[str]			     =    inits[i].name
            UpperCAmelCase_					:					int			     =    inits[j].name

            if name_i in dup_map:
               dup_map[name_i].append(__lowerCamelCase  )
            else:
               UpperCAmelCase_					:					Any			     =    [name_j]
            ind_to_replace.append((j, i)  )

   print("total reduced size: ",		total_reduced_size / 1024 / 1024 / 1024,		"GB"  )

   UpperCAmelCase_					:					Any			     =    sorted(__lowerCamelCase  )
   _remove_dup_initializers_from_model(__lowerCamelCase,		__lowerCamelCase,		__lowerCamelCase  )

   UpperCAmelCase_					:					Tuple			     =    "optimized_" + model_file_name
   UpperCAmelCase_					:					List[str]			     =    os.path.join(__lowerCamelCase,		__lowerCamelCase  )
   onnx.save(__lowerCamelCase,		__lowerCamelCase  )

   return new_model









import importlib
import shutil
import threading
import warnings
from typing import List

import fsspec
import fsspec.asyn

from . import compression
from .hffilesystem import HfFileSystem


SCREAMING_SNAKE_CASE_						   =       importlib.util.find_spec("""s3fs""") is not None

if _has_safs:
      from .safilesystem import SaFileSystem  # noqa: F401

SCREAMING_SNAKE_CASE_						   =       [
    compression.BzaFileSystem,
    compression.GzipFileSystem,
    compression.LzaFileSystem,
    compression.XzFileSystem,
    compression.ZstdFileSystem,
]

# Register custom filesystems
for fs_class in COMPRESSION_FILESYSTEMS + [HfFileSystem]:
      if fs_class.protocol in fsspec.registry and fsspec.registry[fs_class.protocol] is not fs_class:
            warnings.warn(F'''A filesystem protocol was already set for {fs_class.protocol} and will be overwritten.''')
      fsspec.register_implementation(fs_class.protocol, fs_class, clobber=True)



def    __lowercase   (      _SCREAMING_SNAKE_CASE	) ->   str:


      '''simple docstring'''


      if "://" in dataset_path:
            SCREAMING_SNAKE_CASE		=						dataset_path.split("""://"""	)[1]
      return dataset_path



def    __lowercase   (      _SCREAMING_SNAKE_CASE	) ->   bool:


      '''simple docstring'''


      if fs is not None and fs.protocol != "file":
            return True
      else:
            return False



def    __lowercase   (      _SCREAMING_SNAKE_CASE ,						_SCREAMING_SNAKE_CASE ,						_SCREAMING_SNAKE_CASE	) ->   Dict:


      '''simple docstring'''


      SCREAMING_SNAKE_CASE		=						not is_remote_filesystem(_SCREAMING_SNAKE_CASE	)
      if is_local:
            # LocalFileSystem.mv does copy + rm, it is more efficient to simply move a local directory
            shutil.move(fs._strip_protocol(_SCREAMING_SNAKE_CASE	) ,						fs._strip_protocol(_SCREAMING_SNAKE_CASE	)	)
      else:
            fs.mv(_SCREAMING_SNAKE_CASE ,						_SCREAMING_SNAKE_CASE ,						recursive=_SCREAMING_SNAKE_CASE	)



def    __lowercase   (      ) ->   None:


      '''simple docstring'''


      if hasattr(fsspec.asyn ,						"""reset_lock"""	):
            # for future fsspec>2022.05.0
            fsspec.asyn.reset_lock()
      else:
            SCREAMING_SNAKE_CASE		=						None
            SCREAMING_SNAKE_CASE		=						None
            SCREAMING_SNAKE_CASE		=						threading.Lock()


