'''simple docstring'''


import argparse
import os
import re

import packaging.version


snake_case__					:      Any				      =  '''examples/'''
snake_case__					:      int				      =  {
    '''examples''': (re.compile(r'''^check_min_version\("[^"]+"\)\s*$''', re.MULTILINE), '''check_min_version("VERSION")\n'''),
    '''init''': (re.compile(r'''^__version__\s+=\s+"([^"]+)"\s*$''', re.MULTILINE), '''__version__ = "VERSION"\n'''),
    '''setup''': (re.compile(r'''^(\s*)version\s*=\s*"[^"]+",''', re.MULTILINE), r'''\1version="VERSION",'''),
    '''doc''': (re.compile(r'''^(\s*)release\s*=\s*"[^"]+"$''', re.MULTILINE), '''release = "VERSION"\n'''),
}
snake_case__					:      Optional[Any]				      =  {
    '''init''': '''src/diffusers/__init__.py''',
    '''setup''': '''setup.py''',
}
snake_case__					:      int				      =  '''README.md'''


def  _lowerCamelCase   (				lowerCamelCase_ :							Any     ,					lowerCamelCase_ :							Optional[int]     ,					lowerCamelCase_ :							str       ):



     """simple docstring"""





     with open(lowerCamelCase_     ,					'r'     ,					encoding='utf-8'     ,					newline='\n'       ) as f:
          UpperCAmelCase_							:       int       =				f.read()
     UpperCAmelCase_							:       int       =				REPLACE_PATTERNS[pattern]
     UpperCAmelCase_							:       Union[str, Any]       =				replace.replace('VERSION'     ,					lowerCamelCase_       )
     UpperCAmelCase_							:       Optional[int]       =				re_pattern.sub(lowerCamelCase_     ,					lowerCamelCase_       )
     with open(lowerCamelCase_     ,					'w'     ,					encoding='utf-8'     ,					newline='\n'       ) as f:
          f.write(lowerCamelCase_       )


def  _lowerCamelCase   (				lowerCamelCase_ :							Tuple       ):



     """simple docstring"""





     for folder, directories, fnames in os.walk(lowerCamelCase_       ):
          # Removing some of the folders with non-actively maintained examples from the walk
          if "research_projects" in directories:
               directories.remove('research_projects'       )
          if "legacy" in directories:
               directories.remove('legacy'       )
          for fname in fnames:
               if fname.endswith('.py'       ):
                    update_version_in_file(os.path.join(lowerCamelCase_     ,					lowerCamelCase_       )     ,					lowerCamelCase_     ,					pattern='examples'       )


def  _lowerCamelCase   (				lowerCamelCase_ :							Tuple     ,					lowerCamelCase_ :							Optional[Any]=False       ):



     """simple docstring"""





     for pattern, fname in REPLACE_FILES.items():
          update_version_in_file(lowerCamelCase_     ,					lowerCamelCase_     ,					lowerCamelCase_       )
     if not patch:
          update_version_in_examples(lowerCamelCase_       )


def  _lowerCamelCase   (				):



     """simple docstring"""





     UpperCAmelCase_							:       Any       =				'🤗 Transformers currently provides the following architectures'
     UpperCAmelCase_							:       List[Any]       =				'1. Want to contribute a new model?'
     with open(lowerCamelCase_     ,					'r'     ,					encoding='utf-8'     ,					newline='\n'       ) as f:
          UpperCAmelCase_							:       Tuple       =				f.readlines()

     # Find the start of the list.
     UpperCAmelCase_							:       Optional[int]       =				0
     while not lines[start_index].startswith(_start_prompt       ):
          start_index += 1
     start_index += 1

     UpperCAmelCase_							:       Tuple       =				start_index
     # Update the lines in the model list.
     while not lines[index].startswith(_end_prompt       ):
          if lines[index].startswith('1.'       ):
               UpperCAmelCase_							:       List[Any]       =				lines[index].replace(
                   'https://huggingface.co/docs/diffusers/main/model_doc'     ,					'https://huggingface.co/docs/diffusers/model_doc'     ,					)
          index += 1

     with open(lowerCamelCase_     ,					'w'     ,					encoding='utf-8'     ,					newline='\n'       ) as f:
          f.writelines(lowerCamelCase_       )


def  _lowerCamelCase   (				):



     """simple docstring"""





     with open(REPLACE_FILES['init']     ,					'r'       ) as f:
          UpperCAmelCase_							:       List[str]       =				f.read()
     UpperCAmelCase_							:       Union[str, Any]       =				REPLACE_PATTERNS['init'][0].search(lowerCamelCase_       ).groups()[0]
     return packaging.version.parse(lowerCamelCase_       )


def  _lowerCamelCase   (				lowerCamelCase_ :							Tuple=False       ):



     """simple docstring"""





     UpperCAmelCase_							:       Any       =				get_version()
     if patch and default_version.is_devrelease:
          raise ValueError('Can\'t create a patch version from the dev branch, checkout a released version!'       )
     if default_version.is_devrelease:
          UpperCAmelCase_							:       int       =				default_version.base_version
     elif patch:
          UpperCAmelCase_							:       Union[str, Any]       =				F'''{default_version.major}.{default_version.minor}.{default_version.micro + 1}'''
     else:
          UpperCAmelCase_							:       Optional[Any]       =				F'''{default_version.major}.{default_version.minor + 1}.0'''

     # Now let's ask nicely if that's the right one.
     UpperCAmelCase_							:       int       =				input(F'''Which version are you releasing? [{default_version}]'''       )
     if len(lowerCamelCase_       ) == 0:
          UpperCAmelCase_							:       str       =				default_version

     print(F'''Updating version to {version}.'''       )
     global_version_update(lowerCamelCase_     ,					patch=lowerCamelCase_       )


def  _lowerCamelCase   (				):



     """simple docstring"""





     UpperCAmelCase_							:       List[str]       =				get_version()
     UpperCAmelCase_							:       Union[str, Any]       =				F'''{current_version.major}.{current_version.minor + 1}.0.dev0'''
     UpperCAmelCase_							:       Dict       =				current_version.base_version

     # Check with the user we got that right.
     UpperCAmelCase_							:       Any       =				input(F'''Which version are we developing now? [{dev_version}]'''       )
     if len(lowerCamelCase_       ) == 0:
          UpperCAmelCase_							:       List[str]       =				dev_version

     print(F'''Updating version to {version}.'''       )
     global_version_update(lowerCamelCase_       )


#    print("Cleaning main README, don't forget to run `make fix-copies`.")
#    clean_main_ref_in_model_list()


if __name__ == "__main__":
 snake_case__					:      str				      =  argparse.ArgumentParser()
 parser.add_argument('''--post_release''', action='''store_true''', help='''Whether this is pre or post release.''')
 parser.add_argument('''--patch''', action='''store_true''', help='''Whether or not this is a patch release.''')
 snake_case__					:      List[Any]				      =  parser.parse_args()
 if not args.post_release:
  pre_release_work(patch=args.patch)
 elif args.patch:
  print('''Nothing to do after a patch :-)''')
 else:
  post_release_work()


'''simple docstring'''


import os
import time

import numpy as np
import onnxruntime as ort


snake_case__					:      Optional[int]				      =  '''1'''
snake_case__					:      str				      =  '''0'''
snake_case__					:      List[str]				      =  '''1'''

snake_case__					:      List[str]				      =  ort.SessionOptions()
snake_case__					:      str				      =  ort.GraphOptimizationLevel.ORT_DISABLE_ALL
print('''Create inference session...''')
snake_case__					:      Dict				      =  ['''TensorrtExecutionProvider''', '''CUDAExecutionProvider''']
snake_case__					:      Dict				      =  ort.InferenceSession('''model.onnx''', sess_options=sess_opt, providers=execution_provider)
snake_case__					:      str				      =  ort.RunOptions()

snake_case__					:      List[Any]				      =  128
snake_case__					:      Union[str, Any]				      =  1
snake_case__					:      Tuple				      =  np.ones((batch, sequence), dtype=np.intaa)
snake_case__					:      Tuple				      =  np.ones((batch, sequence), dtype=np.intaa)
snake_case__					:      Union[str, Any]				      =  np.ones((batch, sequence), dtype=np.intaa)

print('''Warm up phase...''')
sess.run(
    None,
    {
        sess.get_inputs()[0].name: input_ids,
        sess.get_inputs()[1].name: attention_mask,
        sess.get_inputs()[2].name: token_type_ids,
    },
    run_options=run_opt,
)

print('''Start inference...''')
snake_case__					:      Union[str, Any]				      =  time.time()
snake_case__					:      str				      =  2000
snake_case__					:      Tuple				      =  {}
for iter in range(max_iters):
 snake_case__					:      str				      =  sess.run(
     None,
     {
         sess.get_inputs()[0].name: input_ids,
         sess.get_inputs()[1].name: attention_mask,
         sess.get_inputs()[2].name: token_type_ids,
     },
     run_options=run_opt,
 )
print('''Average Inference Time = {:.3f} ms'''.format((time.time() - start_time) * 1000 / max_iters))






