


'''simple docstring'''

import collections
import os
import re
from pathlib import Path


lowerCamelCase							:   Optional[Any]  						=	'src/transformers'


# Matches is_xxx_available()
lowerCamelCase							:   Union[str, Any]  						=	re.compile(R'is\_([a-z_]*)_available()')
# Catches a one-line _import_struct = {xxx}
lowerCamelCase							:   int  						=	re.compile(R'^_import_structure\s+=\s+\{([^\}]+)\}')
# Catches a line with a key-values pattern: "bla": ["foo", "bar"]
lowerCamelCase							:   int  						=	re.compile(R'\s+"\S*":\s+\[([^\]]*)\]')
# Catches a line if not is_foo_available
lowerCamelCase							:   int  						=	re.compile(R'^\s*if\s+not\s+is\_[a-z_]*\_available\(\)')
# Catches a line _import_struct["bla"].append("foo")
lowerCamelCase							:   Optional[Any]  						=	re.compile(R'^\s*_import_structure\["\S*"\]\.append\("(\S*)"\)')
# Catches a line _import_struct["bla"].extend(["foo", "bar"]) or _import_struct["bla"] = ["foo", "bar"]
lowerCamelCase							:   Optional[Any]  						=	re.compile(R'^\s*_import_structure\[\S*\](?:\.extend\(|\s*=\s+)\[([^\]]*)\]')
# Catches a line with an object between quotes and a comma:     "MyModel",
lowerCamelCase							:   Any  						=	re.compile(R'^\s+"([^"]+)",')
# Catches a line with objects between brackets only:    ["foo", "bar"],
lowerCamelCase							:   List[Any]  						=	re.compile(R'^\s+\[([^\]]+)\]')
# Catches a line with from foo import bar, bla, boo
lowerCamelCase							:   Union[str, Any]  						=	re.compile(R'\s+from\s+\S*\s+import\s+([^\(\s].*)\n')
# Catches a line with try:
lowerCamelCase							:   Union[str, Any]  						=	re.compile(R'^\s*try:')
# Catches a line with else:
lowerCamelCase							:   Tuple  						=	re.compile(R'^\s*else:')

def _SCREAMING_SNAKE_CASE      (A       )       ->       Union[str, Any]:






       """simple docstring"""







       if _re_test_backend.search(A       ) is None:
              return None
       lowercase__      			= [b[0] for b in _re_backend.findall(A       )]
       backends.sort()
       return "_and_".join(A       )

def _SCREAMING_SNAKE_CASE      (A       )       ->       Any:






       """simple docstring"""







       with open(A  , '''r'''  , encoding='''utf-8'''  , newline='''\n'''       ) as f:
              lowercase__      			= f.readlines()

       lowercase__      			= 0
       while line_index < len(A       ) and not lines[line_index].startswith('''_import_structure = {'''       ):
              line_index += 1

       # If this is a traditional init, just return.
       if line_index >= len(A       ):
              return None

       # First grab the objects without a specific backend in _import_structure
       lowercase__      			= []
       while not lines[line_index].startswith('''if TYPE_CHECKING'''       ) and find_backend(lines[line_index]       ) is None:
              lowercase__      			= lines[line_index]
              # If we have everything on a single line, let's deal with it.
              if _re_one_line_import_struct.search(A       ):
                     lowercase__      			= _re_one_line_import_struct.search(A       ).groups()[0]
                     lowercase__      			= re.findall(R'''\[([^\]]+)\]'''  , A       )
                     for imp in imports:
                            objects.extend([obj[1:-1] for obj in imp.split(''', '''       )]       )
                     line_index += 1
                     continue
              lowercase__      			= _re_import_struct_key_value.search(A       )
              if single_line_import_search is not None:
                     lowercase__      			= [obj[1:-1] for obj in single_line_import_search.groups()[0].split(''', '''       ) if len(A       ) > 0]
                     objects.extend(A       )
              elif line.startswith(''' ''' * 8 + '''"'''       ):
                     objects.append(line[9:-3]       )
              line_index += 1

       lowercase__      			= {'''none''': objects}
       # Let's continue with backend-specific objects in _import_structure
       while not lines[line_index].startswith('''if TYPE_CHECKING'''       ):
              # If the line is an if not is_backend_available, we grab all objects associated.
              lowercase__      			= find_backend(lines[line_index]       )
              # Check if the backend declaration is inside a try block:
              if _re_try.search(lines[line_index - 1]       ) is None:
                     lowercase__      			= None

              if backend is not None:
                     line_index += 1

                     # Scroll until we hit the else block of try-except-else
                     while _re_else.search(lines[line_index]       ) is None:
                            line_index += 1

                     line_index += 1

                     lowercase__      			= []
                     # Until we unindent, add backend objects to the list
                     while len(lines[line_index]       ) <= 1 or lines[line_index].startswith(''' ''' * 4       ):
                            lowercase__      			= lines[line_index]
                            if _re_import_struct_add_one.search(A       ) is not None:
                                   objects.append(_re_import_struct_add_one.search(A       ).groups()[0]       )
                            elif _re_import_struct_add_many.search(A       ) is not None:
                                   lowercase__      			= _re_import_struct_add_many.search(A       ).groups()[0].split(''', '''       )
                                   lowercase__      			= [obj[1:-1] for obj in imports if len(A       ) > 0]
                                   objects.extend(A       )
                            elif _re_between_brackets.search(A       ) is not None:
                                   lowercase__      			= _re_between_brackets.search(A       ).groups()[0].split(''', '''       )
                                   lowercase__      			= [obj[1:-1] for obj in imports if len(A       ) > 0]
                                   objects.extend(A       )
                            elif _re_quote_object.search(A       ) is not None:
                                   objects.append(_re_quote_object.search(A       ).groups()[0]       )
                            elif line.startswith(''' ''' * 8 + '''"'''       ):
                                   objects.append(line[9:-3]       )
                            elif line.startswith(''' ''' * 12 + '''"'''       ):
                                   objects.append(line[13:-3]       )
                            line_index += 1

                     lowercase__      			= objects
              else:
                     line_index += 1

    # At this stage we are in the TYPE_CHECKING part, first grab the objects without a specific backend
       lowercase__      			= []
       while (
           line_index < len(A       )
           and find_backend(lines[line_index]       ) is None
           and not lines[line_index].startswith('''else'''       )
       ):
              lowercase__      			= lines[line_index]
              lowercase__      			= _re_import.search(A       )
              if single_line_import_search is not None:
                     objects.extend(single_line_import_search.groups()[0].split(''', '''       )       )
              elif line.startswith(''' ''' * 8       ):
                     objects.append(line[8:-2]       )
              line_index += 1

       lowercase__      			= {'''none''': objects}
       # Let's continue with backend-specific objects
       while line_index < len(A       ):
              # If the line is an if is_backend_available, we grab all objects associated.
              lowercase__      			= find_backend(lines[line_index]       )
              # Check if the backend declaration is inside a try block:
              if _re_try.search(lines[line_index - 1]       ) is None:
                     lowercase__      			= None

              if backend is not None:
                     line_index += 1

                     # Scroll until we hit the else block of try-except-else
                     while _re_else.search(lines[line_index]       ) is None:
                            line_index += 1

                     line_index += 1

                     lowercase__      			= []
                     # Until we unindent, add backend objects to the list
                     while len(lines[line_index]       ) <= 1 or lines[line_index].startswith(''' ''' * 8       ):
                            lowercase__      			= lines[line_index]
                            lowercase__      			= _re_import.search(A       )
                            if single_line_import_search is not None:
                                   objects.extend(single_line_import_search.groups()[0].split(''', '''       )       )
                            elif line.startswith(''' ''' * 12       ):
                                   objects.append(line[12:-2]       )
                            line_index += 1

                     lowercase__      			= objects
              else:
                     line_index += 1

       return import_dict_objects, type_hint_objects

def _SCREAMING_SNAKE_CASE      (A  , A       )       ->       List[str]:






       """simple docstring"""







       def find_duplicates(A       ):
              return [k for k, v in collections.Counter(A       ).items() if v > 1]

       if list(import_dict_objects.keys()       ) != list(type_hint_objects.keys()       ):
              return ["Both sides of the init do not have the same backends!"]

       lowercase__      			= []
       for key in import_dict_objects.keys():
              lowercase__      			= find_duplicates(import_dict_objects[key]       )
              if duplicate_imports:
                     errors.append(f"Duplicate _import_structure definitions for: {duplicate_imports}"       )
              lowercase__      			= find_duplicates(type_hint_objects[key]       )
              if duplicate_type_hints:
                     errors.append(f"Duplicate TYPE_CHECKING objects for: {duplicate_type_hints}"       )

              if sorted(set(import_dict_objects[key]       )       ) != sorted(set(type_hint_objects[key]       )       ):
                     lowercase__      			= '''base imports''' if key == '''none''' else f"{key} backend"
                     errors.append(f"Differences for {name}:"       )
                     for a in type_hint_objects[key]:
                            if a not in import_dict_objects[key]:
                                   errors.append(f"  {a} in TYPE_HINT but not in _import_structure."       )
                     for a in import_dict_objects[key]:
                            if a not in type_hint_objects[key]:
                                   errors.append(f"  {a} in _import_structure but not in TYPE_HINT."       )
       return errors

def _SCREAMING_SNAKE_CASE      ()       ->       int:






       """simple docstring"""







       lowercase__      			= []
       for root, _, files in os.walk(A       ):
              if "__init__.py" in files:
                     lowercase__      			= os.path.join(A  , '''__init__.py'''       )
                     lowercase__      			= parse_init(A       )
                     if objects is not None:
                            lowercase__      			= analyze_results(*A       )
                            if len(A       ) > 0:
                                   lowercase__      			= f"Problem in {fname}, both halves do not define the same objects.\n{errors[0]}"
                                   failures.append('''\n'''.join(A       )       )
       if len(A       ) > 0:
              raise ValueError('''\n\n'''.join(A       )       )

def _SCREAMING_SNAKE_CASE      ()       ->       Dict:






       """simple docstring"""







       lowercase__      			= []
       for path, directories, files in os.walk(A       ):
              for folder in directories:
                     # Ignore private modules
                     if folder.startswith('''_'''       ):
                            directories.remove(A       )
                            continue
                     # Ignore leftovers from branches (empty folders apart from pycache)
                     if len(list((Path(A       ) / folder).glob('''*.py'''       )       )       ) == 0:
                            continue
                     lowercase__      			= str((Path(A       ) / folder).relative_to(A       )       )
                     lowercase__      			= short_path.replace(os.path.sep  , '''.'''       )
                     submodules.append(A       )
              for fname in files:
                     if fname == "__init__.py":
                            continue
                     lowercase__      			= str((Path(A       ) / fname).relative_to(A       )       )
                     lowercase__      			= short_path.replace('''.py'''  , ''''''       ).replace(os.path.sep  , '''.'''       )
                     if len(submodule.split('''.'''       )       ) == 1:
                            submodules.append(A       )
       return submodules


lowerCamelCase							:   List[Any]  						=	[
    'convert_pytorch_checkpoint_to_tf2',
    'modeling_flax_pytorch_utils',
    'models.esm.openfold_utils',
]

def _SCREAMING_SNAKE_CASE      ()       ->       str:






       """simple docstring"""







       from transformers.utils import direct_transformers_import

       lowercase__      			= direct_transformers_import(A       )

       lowercase__      			= set(transformers._import_structure.keys()       )
       # This contains all the base keys of the _import_structure object defined in the init, but if the user is missing
       # some optional dependencies, they may not have all of them. Thus we read the init to read all additions and
       # (potentiall re-) add them.
       with open(os.path.join(A  , '''__init__.py'''       )  , '''r'''       ) as f:
              lowercase__      			= f.read()
       import_structure_keys.update(set(re.findall(R'''import_structure\[\"([^\"]*)\"\]'''  , A       )       )       )

       lowercase__      			= [
           module
           for module in get_transformers_submodules()
           if module not in IGNORE_SUBMODULES and module not in import_structure_keys
       ]

       if len(A       ) > 0:
              lowercase__      			= '''\n'''.join(f"- {module}" for module in module_not_registered       )
              raise ValueError(
                  '''The following submodules are not properly registed in the main init of Transformers:\n'''
                  f"{list_of_modules}\n"
                  '''Make sure they appear somewhere in the keys of `_import_structure` with an empty list as value.'''       )


if __name__ == "__main__":
 check_all_inits()
 check_submodules()








'''simple docstring'''

import argparse

import torch
from torch import nn

from transformers import MBartConfig, MBartForConditionalGeneration

def _SCREAMING_SNAKE_CASE      (A       )       ->       Optional[Any]:






       """simple docstring"""







       lowercase__      			= [
           '''encoder.version''',
           '''decoder.version''',
           '''model.encoder.version''',
           '''model.decoder.version''',
           '''_float_tensor''',
           '''decoder.output_projection.weight''',
       ]
       for k in ignore_keys:
              state_dict.pop(A  , A       )

def _SCREAMING_SNAKE_CASE      (A       )       ->       List[str]:






       """simple docstring"""







       lowercase__			,lowercase__      			= emb.weight.shape
       lowercase__      			= nn.Linear(A  , A  , bias=A       )
       lowercase__      			= emb.weight.data
       return lin_layer

def _SCREAMING_SNAKE_CASE      (A  , A="facebook/mbart-large-en-ro"  , A=False  , A=False       )       ->       Union[str, Any]:






       """simple docstring"""







       lowercase__      			= torch.load(A  , map_location='''cpu'''       )['''model''']
       remove_ignore_keys_(A       )
       lowercase__      			= state_dict['''encoder.embed_tokens.weight'''].shape[0]

       lowercase__      			= MBartConfig.from_pretrained(A  , vocab_size=A       )
       if mbart_aa and finetuned:
              lowercase__      			= '''relu'''

       lowercase__      			= state_dict['''decoder.embed_tokens.weight''']
       lowercase__      			= MBartForConditionalGeneration(A       )
       model.model.load_state_dict(A       )

       if finetuned:
              lowercase__      			= make_linear_from_emb(model.model.shared       )

       return model


if __name__ == "__main__":
 lowerCamelCase							:   Any  						=	argparse.ArgumentParser()
 # Required parameters
 parser.add_argument(
     'fairseq_path', type=str, help='bart.large, bart.large.cnn or a path to a model.pt on local filesystem.'
 )
 parser.add_argument('pytorch_dump_folder_path', default=None, type=str, help='Path to the output PyTorch model.')
 parser.add_argument(
     '--hf_config',
     default='facebook/mbart-large-cc25',
     type=str,
     help='Which huggingface architecture to use: mbart-large',
 )
 parser.add_argument('--mbart_50', action='store_true', help='whether the model is mMART-50 checkpoint')
 parser.add_argument('--finetuned', action='store_true', help='whether the model is a fine-tuned checkpoint')
 lowerCamelCase							:   Any  						=	parser.parse_args()
 lowerCamelCase							:   List[str]  						=	convert_fairseq_mbart_checkpoint_from_disk(
     args.fairseq_path, hf_config_path=args.hf_config, finetuned=args.finetuned, mbart_aa=args.mbart_aa
 )
 model.save_pretrained(args.pytorch_dump_folder_path)




