import argparse
import os
import re

import packaging.version


__a  :     Optional[Any]       =  """examples/"""
__a  :     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"""),
}
__a  :     Any       =  {
    """init""": """src/transformers/__init__.py""",
    """setup""": """setup.py""",
}
__a  :     Any       =  """README.md"""





def 				UpperCAmelCase						(    lowercase							,			lowercase							,			lowercase							):







				"""simple docstring"""



				with open(SCREAMING_SNAKE_CASE__							,			'''r'''							,			encoding='''utf-8'''							,			newline='''\n'''							) as f:
								__lowercase 			=							f.read()
				__lowercase 			=							REPLACE_PATTERNS[pattern]
				__lowercase 			=							replace.replace('''VERSION'''							,			SCREAMING_SNAKE_CASE__							)
				__lowercase 			=							re_pattern.sub(SCREAMING_SNAKE_CASE__							,			SCREAMING_SNAKE_CASE__							)
				with open(SCREAMING_SNAKE_CASE__							,			'''w'''							,			encoding='''utf-8'''							,			newline='''\n'''							) as f:
								f.write(SCREAMING_SNAKE_CASE__							)





def 				UpperCAmelCase						(    lowercase							):







				"""simple docstring"""



				for folder, directories, fnames in os.walk(SCREAMING_SNAKE_CASE__							):
								# 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(SCREAMING_SNAKE_CASE__							,			SCREAMING_SNAKE_CASE__							)							,			SCREAMING_SNAKE_CASE__							,			pattern='''examples'''							)





def 				UpperCAmelCase						(    lowercase							,			lowercase=False							):







				"""simple docstring"""



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





def 				UpperCAmelCase						(    ):







				"""simple docstring"""



				__lowercase 			=							"""🤗 Transformers currently provides the following architectures"""
				__lowercase 			=							"""1. Want to contribute a new model?"""
				with open(SCREAMING_SNAKE_CASE__							,			'''r'''							,			encoding='''utf-8'''							,			newline='''\n'''							) as f:
								__lowercase 			=							f.readlines()

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

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

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





def 				UpperCAmelCase						(    ):







				"""simple docstring"""



				with open(REPLACE_FILES['''init''']							,			'''r'''							) as f:
								__lowercase 			=							f.read()
				__lowercase 			=							REPLACE_PATTERNS["""init"""][0].search(SCREAMING_SNAKE_CASE__							).groups()[0]
				return packaging.version.parse(SCREAMING_SNAKE_CASE__							)





def 				UpperCAmelCase						(    lowercase=False							):







				"""simple docstring"""



				__lowercase 			=							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:
								__lowercase 			=							default_version.base_version
				elif patch:
								__lowercase 			=							F"{default_version.major}.{default_version.minor}.{default_version.micro + 1}"
				else:
								__lowercase 			=							F"{default_version.major}.{default_version.minor + 1}.0"

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

				print(F"Updating version to {version}."							)
				global_version_update(SCREAMING_SNAKE_CASE__							,			patch=SCREAMING_SNAKE_CASE__							)
				if not patch:
								print('''Cleaning main README, don\'t forget to run `make fix-copies`.'''							)
								clean_main_ref_in_model_list()





def 				UpperCAmelCase						(    ):







				"""simple docstring"""



				__lowercase 			=							get_version()
				__lowercase 			=							F"{current_version.major}.{current_version.minor + 1}.0.dev0"
				__lowercase 			=							current_version.base_version

				# Check with the user we got that right.
				__lowercase 			=							input(F"Which version are we developing now? [{dev_version}]"							)
				if len(SCREAMING_SNAKE_CASE__							) == 0:
								__lowercase 			=							dev_version

				print(F"Updating version to {version}."							)
				global_version_update(SCREAMING_SNAKE_CASE__							)
				print('''Cleaning main README, don\'t forget to run `make fix-copies`.'''							)
				clean_main_ref_in_model_list()


if __name__ == "__main__":
		__a  :     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.""")
		__a  :     Union[str, 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()

import os

import numpy
import onnx







def 						_snake_case(  SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__				) ->    Union[str, Any]:
       lowercase							:     int       	=      a.name
       lowercase							:     Any       	=      b.name

       lowercase							:     Optional[Any]       	=      """"""
       lowercase							:     Dict       	=      """"""

       lowercase							:     int       	=      a == b

       lowercase							:     int       	=      name_a
       lowercase							:     List[str]       	=      name_b

       return res







def 						_snake_case(  SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__				) ->    str:
       for i, input_name in enumerate(node_proto.input				):
              if input_name == name:
                     node_proto.input.insert(SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__				)
                     node_proto.input.pop(i + 1				)

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







def 						_snake_case(  SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__				) ->    Union[str, Any]:
       for n in graph_proto.node:
              _node_replace_input_with(SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__				)







def 						_snake_case(  SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__				) ->    List[Any]:
       lowercase							:     Any       	=      list(model.graph.initializer				)
       lowercase							:     Dict       	=      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							:     Union[str, Any]       	=      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					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__				)







def 						_snake_case(  SCREAMING_SNAKE_CASE__				) ->    List[str]:
       lowercase							:     Union[str, Any]       	=      os.path.dirname(SCREAMING_SNAKE_CASE__				)
       lowercase							:     Dict       	=      os.path.basename(SCREAMING_SNAKE_CASE__				)

       lowercase							:     str       	=      onnx.load(os.path.join(SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__				)				)

       lowercase							:     List[str]       	=      list(model.graph.initializer				)

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

       lowercase							:     Dict       	=      0

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

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

                            lowercase							:     int       	=      inits[j].data_type
                            lowercase							:     Optional[int]       	=      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: """					,	SCREAMING_SNAKE_CASE__				)
                            total_reduced_size += mem_size

                            lowercase							:     Tuple       	=      inits[i].name
                            lowercase							:     int       	=      inits[j].name

                            if name_i in dup_map:
                                   dup_map[name_i].append(SCREAMING_SNAKE_CASE__				)
                            else:
                                   lowercase							:     List[str]       	=      [name_j]
                            ind_to_replace.append((j, i)				)

       print("""total reduced size: """					,	total_reduced_size / 1_024 / 1_024 / 1_024					,	"""GB"""				)

       lowercase							:     str       	=      sorted(SCREAMING_SNAKE_CASE__				)
       _remove_dup_initializers_from_model(SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__				)

       lowercase							:     Optional[Any]       	=      """optimized_""" + model_file_name
       lowercase							:     Dict       	=      os.path.join(SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__				)
       onnx.save(SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__				)

       return new_model
