
"""simple docstring"""

import os

import numpy
import onnx






def 							A		(       snake_case   :Tuple       ,      snake_case   :int	)   ->			List[Any]:
 __UpperCamelCase       						= a.name
 __UpperCamelCase       						= b.name

 __UpperCamelCase       						= ''
 __UpperCamelCase       						= ''

 __UpperCamelCase       						= a == b

 __UpperCamelCase       						= name_a
 __UpperCamelCase       						= name_b

 return res






def 							A		(       snake_case   :List[Any]       ,      snake_case   :List[str]       ,      snake_case   :Any	)   ->			Tuple:
 for i, input_name in enumerate(node_proto.input	):
  if input_name == name:
   node_proto.input.insert(snake_case       ,      snake_case	)
   node_proto.input.pop(i + 1	)

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






def 							A		(       snake_case   :Any       ,      snake_case   :Dict       ,      snake_case   :Tuple	)   ->			int:
 for n in graph_proto.node:
  _node_replace_input_with(snake_case       ,      snake_case       ,      snake_case	)






def 							A		(       snake_case   :str       ,      snake_case   :str       ,      snake_case   :List[Any]	)   ->			List[Any]:
 __UpperCamelCase       						= list(model.graph.initializer	)
 __UpperCamelCase       						= 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       						= inits[i].name
  __UpperCamelCase       						= 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       ,      snake_case       ,      snake_case	)






def 							A		(       snake_case   :Any	)   ->			List[Any]:
 __UpperCamelCase       						= os.path.dirname(snake_case	)
 __UpperCamelCase       						= os.path.basename(snake_case	)

 __UpperCamelCase       						= onnx.load(os.path.join(snake_case       ,      snake_case	)	)

 __UpperCamelCase       						= list(model.graph.initializer	)

 __UpperCamelCase       						= set()
 __UpperCamelCase       						= {}
 __UpperCamelCase       						= []

 __UpperCamelCase       						= 0

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

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

    __UpperCamelCase       						= inits[j].data_type
    __UpperCamelCase       						= 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: '       ,      snake_case	)
    total_reduced_size += mem_size

    __UpperCamelCase       						= inits[i].name
    __UpperCamelCase       						= inits[j].name

    if name_i in dup_map:
     dup_map[name_i].append(snake_case	)
    else:
     __UpperCamelCase       						= [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'	)

 __UpperCamelCase       						= sorted(snake_case	)
 _remove_dup_initializers_from_model(snake_case       ,      snake_case       ,      snake_case	)

 __UpperCamelCase       						= 'optimized_' + model_file_name
 __UpperCamelCase       						= os.path.join(snake_case       ,      snake_case	)
 onnx.save(snake_case       ,      snake_case	)

 return new_model





"""simple docstring"""

import time
from contextlib import contextmanager
from pathlib import Path

import pytest
import requests
from huggingface_hub.hf_api import HfApi, HfFolder


UpperCamelCase			:       Union[str, Any]									=				"__DUMMY_TRANSFORMERS_USER__"
UpperCamelCase			:       List[Any]									=				"Dummy User"
UpperCamelCase			:       List[Any]									=				"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"

UpperCamelCase			:       Any									=				"https://hub-ci.huggingface.co"
UpperCamelCase			:       str									=				CI_HUB_ENDPOINT + "/datasets/{repo_id}/resolve/{revision}/{path}"
UpperCamelCase			:       Optional[Any]									=				CI_HUB_ENDPOINT + "/{repo_id}/resolve/{revision}/{filename}"
UpperCamelCase			:       Optional[int]									=				Path("~/.huggingface/hub_ci_token").expanduser()






@pytest.fixture
def 							A		(       snake_case   :Optional[Any]	)   ->			Union[str, Any]:
 monkeypatch.setattr(
     'huggingface_hub.file_download.HUGGINGFACE_CO_URL_TEMPLATE'       ,      snake_case	)






@pytest.fixture
def 							A		(       snake_case   :str	)   ->			List[Any]:
 monkeypatch.setattr('datasets.config.HF_ENDPOINT'       ,      snake_case	)
 monkeypatch.setattr('datasets.config.HUB_DATASETS_URL'       ,      snake_case	)






@pytest.fixture
def 							A		(       snake_case   :Optional[int]	)   ->			Dict:
 monkeypatch.setattr('huggingface_hub.hf_api.HfFolder.path_token'       ,      snake_case	)






@pytest.fixture
def 							A		(       snake_case   :List[Any]       ,      snake_case   :Tuple	)   ->			Tuple:
 HfFolder.save_token(snake_case	)
 yield
 HfFolder.delete_token()






@pytest.fixture(scope='session'	)
def 							A		(       )   ->			List[Any]:
 return HfApi(endpoint=snake_case	)






@pytest.fixture(scope='session'	)
def 							A		(       snake_case   :HfApi	)   ->			List[Any]:
 __UpperCamelCase       						= HfFolder.get_token()
 HfFolder.save_token(snake_case	)
 yield CI_HUB_USER_TOKEN
 if previous_token is not None:
  HfFolder.save_token(snake_case	)






@pytest.fixture
def 							A		(       snake_case   :str	)   ->			str:
 def _cleanup_repo(snake_case   :Union[str, Any]	):
  hf_api.delete_repo(snake_case       ,      token=snake_case       ,      repo_type='dataset'	)

 return _cleanup_repo






@pytest.fixture
def 							A		(       snake_case   :List[str]	)   ->			Any:
 @contextmanager
 def _temporary_repo(snake_case   :Tuple	):
  try:
   yield repo_id
  finally:
   cleanup_repo(snake_case	)

 return _temporary_repo






@pytest.fixture(scope='session'	)
def 							A		(       snake_case   :HfApi       ,      snake_case   :Dict       ,      snake_case   :Dict	)   ->			List[str]:
 __UpperCamelCase       						= f'repo_txt_data-{int(time.time() * 10e3	)}'
 __UpperCamelCase       						= f'{CI_HUB_USER}/{repo_name}'
 hf_api.create_repo(snake_case       ,      token=snake_case       ,      repo_type='dataset'       ,      private=snake_case	)
 hf_api.upload_file(
     token=snake_case       ,      path_or_fileobj=str(snake_case	)       ,      path_in_repo='data/text_data.txt'       ,      repo_id=snake_case       ,      repo_type='dataset'       ,      )
 yield repo_id
 try:
  hf_api.delete_repo(snake_case       ,      token=snake_case       ,      repo_type='dataset'	)
 except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
  pass






@pytest.fixture()
def 							A		(       snake_case   :Optional[int]       ,      snake_case   :str       ,      snake_case   :Tuple	)   ->			Any:
 return hf_private_dataset_repo_txt_data_






@pytest.fixture(scope='session'	)
def 							A		(       snake_case   :HfApi       ,      snake_case   :List[Any]       ,      snake_case   :str	)   ->			Optional[int]:
 __UpperCamelCase       						= f'repo_zipped_txt_data-{int(time.time() * 10e3	)}'
 __UpperCamelCase       						= f'{CI_HUB_USER}/{repo_name}'
 hf_api.create_repo(snake_case       ,      token=snake_case       ,      repo_type='dataset'       ,      private=snake_case	)
 hf_api.upload_file(
     token=snake_case       ,      path_or_fileobj=str(snake_case	)       ,      path_in_repo='data.zip'       ,      repo_id=snake_case       ,      repo_type='dataset'       ,      )
 yield repo_id
 try:
  hf_api.delete_repo(snake_case       ,      token=snake_case       ,      repo_type='dataset'	)
 except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
  pass






@pytest.fixture()
def 							A		(       snake_case   :int       ,      snake_case   :Optional[int]       ,      snake_case   :Optional[int]	)   ->			str:
 return hf_private_dataset_repo_zipped_txt_data_






@pytest.fixture(scope='session'	)
def 							A		(       snake_case   :HfApi       ,      snake_case   :List[str]       ,      snake_case   :Any	)   ->			List[Any]:
 __UpperCamelCase       						= f'repo_zipped_img_data-{int(time.time() * 10e3	)}'
 __UpperCamelCase       						= f'{CI_HUB_USER}/{repo_name}'
 hf_api.create_repo(snake_case       ,      token=snake_case       ,      repo_type='dataset'       ,      private=snake_case	)
 hf_api.upload_file(
     token=snake_case       ,      path_or_fileobj=str(snake_case	)       ,      path_in_repo='data.zip'       ,      repo_id=snake_case       ,      repo_type='dataset'       ,      )
 yield repo_id
 try:
  hf_api.delete_repo(snake_case       ,      token=snake_case       ,      repo_type='dataset'	)
 except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
  pass






@pytest.fixture()
def 							A		(       snake_case   :List[str]       ,      snake_case   :Optional[Any]       ,      snake_case   :Optional[int]	)   ->			Optional[int]:
 return hf_private_dataset_repo_zipped_img_data_



