




'''simple docstring'''







import os
from typing import List





def 						snake_case_							(_a     :							List[str]   ,       _a     :							str					):
    if name != "training_function" and name != "main":
        raise ValueError(F"Incorrect function name passed: {name}, choose either 'main' or 'training_function'"					)
    UpperCAmelCase	,					UpperCAmelCase      	=		[], False
    for line in lines:
        if not found_start and F"def {name}" in line:
            UpperCAmelCase      	=		True
            good_lines.append(_a					)
            continue
        if found_start:
            if name == "training_function" and "def main" in line:
                return good_lines
            if name == "main" and "if __name__" in line:
                return good_lines
            good_lines.append(_a					)





def 						snake_case_							(_a     :							List[str]					):
    return [line for line in lines if not line.lstrip().startswith('''#'''					) and line != "\n"]







def 						snake_case_							(_a     :							str   ,       _a     :							str   ,       _a     :							bool   ,       _a     :							str = None					):
    with open(_a   ,       '''r'''					) as f:
        UpperCAmelCase      	=		f.readlines()
    with open(os.path.abspath(os.path.join('''examples'''   ,       '''nlp_example.py'''					)					)   ,       '''r'''					) as f:
        UpperCAmelCase      	=		f.readlines()
    with open(_a   ,       '''r'''					) as f:
        UpperCAmelCase      	=		f.readlines()
    if secondary_filename is not None:
        with open(_a   ,       '''r'''					) as f:
            UpperCAmelCase      	=		f.readlines()

    # This is our base, we remove all the code from here in our `full_filename` and `feature_filename` to find the new content
    if parser_only:
        UpperCAmelCase      	=		clean_lines(get_function_contents_by_name(_a   ,       '''main'''					)					)
        UpperCAmelCase      	=		clean_lines(get_function_contents_by_name(_a   ,       '''main'''					)					)
        UpperCAmelCase      	=		clean_lines(get_function_contents_by_name(_a   ,       '''main'''					)					)
        if secondary_filename is not None:
            UpperCAmelCase      	=		clean_lines(get_function_contents_by_name(_a   ,       '''main'''					)					)
    else:
        UpperCAmelCase      	=		clean_lines(get_function_contents_by_name(_a   ,       '''training_function'''					)					)
        UpperCAmelCase      	=		clean_lines(get_function_contents_by_name(_a   ,       '''training_function'''					)					)
        UpperCAmelCase      	=		clean_lines(get_function_contents_by_name(_a   ,       '''training_function'''					)					)
        if secondary_filename is not None:
            UpperCAmelCase      	=		clean_lines(
                get_function_contents_by_name(_a   ,       '''training_function'''					)					)

    UpperCAmelCase      	=		'''train_dataloader, eval_dataloader = get_dataloaders(accelerator, batch_size)\n'''

    # Specific code in our script that differs from the full version, aka what is new
    UpperCAmelCase      	=		[]
    UpperCAmelCase      	=		[]  # We keep track of the idxs just in case it's a repeated statement
    UpperCAmelCase      	=		iter(_a					)
    for i in range(len(_a					) - 1					):
        if i not in passed_idxs:
            UpperCAmelCase      	=		next(_a					)
            if (line not in full_file_func) and (line.lstrip() != _dl_line):
                if "TESTING_MOCKED_DATALOADERS" not in line:
                    new_feature_code.append(_a					)
                    passed_idxs.append(_a					)
                else:
                    # Skip over the `config['num_epochs'] = 2` statement
                    UpperCAmelCase      	=		next(_a					)

    # Extract out just the new parts from the full_file_training_func
    UpperCAmelCase      	=		[]
    UpperCAmelCase      	=		[]  # We keep track of the idxs just in case it's a repeated statement
    for i, line in enumerate(_a					):
        if i not in passed_idxs:
            if (line not in full_file_func) and (line.lstrip() != _dl_line):
                if "TESTING_MOCKED_DATALOADERS" not in line:
                    new_full_example_parts.append(_a					)
                    passed_idxs.append(_a					)

    # Finally, get the overall diff
    UpperCAmelCase      	=		[line for line in new_feature_code if line not in new_full_example_parts]
    if secondary_filename is not None:
        UpperCAmelCase      	=		[line for line in full_file_contents if line not in secondary_file_func]
        UpperCAmelCase      	=		[line for line in diff_from_example if line not in diff_from_two]

    return diff_from_example










'''simple docstring'''







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


A			   ={'configuration_dinat': ['DINAT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'DinatConfig']}


try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   A			   =[
       'DINAT_PRETRAINED_MODEL_ARCHIVE_LIST',
       'DinatForImageClassification',
       'DinatModel',
       'DinatPreTrainedModel',
       'DinatBackbone',
   ]

if TYPE_CHECKING:
   from .configuration_dinat import DINAT_PRETRAINED_CONFIG_ARCHIVE_MAP, DinatConfig

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_dinat import (
          DINAT_PRETRAINED_MODEL_ARCHIVE_LIST,
          DinatBackbone,
          DinatForImageClassification,
          DinatModel,
          DinatPreTrainedModel,
      )

else:
   import sys

   A			   =_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)




