

import argparse
import os
import re


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_dummies.py
lowerCamelCase   					=  '''src/transformers'''

# Matches is_xxx_available()
lowerCamelCase   					=  re.compile(R'''is\_([a-z_]*)_available()''')
# Matches from xxx import bla
lowerCamelCase   					=  re.compile(R'''\s+from\s+\S*\s+import\s+([^\(\s].*)\n''')
lowerCamelCase   					=  re.compile(R'''^\s+if\s+not\s+\(?is\_[a-z_]*\_available\(\)''')


lowerCamelCase   					=  '''
{0} = None
'''

lowerCamelCase   					=  '''
class {0}(metaclass=DummyObject):
    _backends = {1}

    def __init__(self, *args, **kwargs):
        requires_backends(self, {1})
'''


lowerCamelCase   					=  '''
def {0}(*args, **kwargs):
    requires_backends({0}, {1})
'''


def 							__lowercase     (	UpperCAmelCase__   ):

					"""simple docstring"""






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


def 							__lowercase     (	):

					"""simple docstring"""






					with open(os.path.join(UpperCAmelCase__		,       '__init__.py'   )		,       'r'		,       encoding='utf-8'		,       newline='\n'   ) as f:
										__lowerCAmelCase       =				f.readlines()

					# Get to the point we do the actual imports for type checking
					__lowerCAmelCase       =				0
					while not lines[line_index].startswith('if TYPE_CHECKING'   ):
										line_index += 1

					__lowerCAmelCase       =				{}
					# Go through the end of the file
					while line_index < len(UpperCAmelCase__   ):
										# If the line is an if is_backend_available, we grab all objects associated.
										__lowerCAmelCase       =				find_backend(lines[line_index]   )
										if backend is not None:
															while not lines[line_index].startswith('    else:'   ):
																				line_index += 1
															line_index += 1

															__lowerCAmelCase       =				[]
															# Until we unindent, add backend objects to the list
															while len(lines[line_index]   ) <= 1 or lines[line_index].startswith(' ' * 8   ):
																				__lowerCAmelCase       =				lines[line_index]
																				__lowerCAmelCase       =				_re_single_line_import.search(UpperCAmelCase__   )
																				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

															__lowerCAmelCase       =				objects
										else:
															line_index += 1

					return backend_specific_objects


def 							__lowercase     (	UpperCAmelCase__		,       UpperCAmelCase__   ):

					"""simple docstring"""






					if name.isupper():
										return DUMMY_CONSTANT.format(UpperCAmelCase__   )
					elif name.islower():
										return DUMMY_FUNCTION.format(UpperCAmelCase__		,       UpperCAmelCase__   )
					else:
										return DUMMY_CLASS.format(UpperCAmelCase__		,       UpperCAmelCase__   )


def 							__lowercase     (	UpperCAmelCase__=None   ):

					"""simple docstring"""






					if backend_specific_objects is None:
										__lowerCAmelCase       =				read_init()
					# For special correspondence backend to module name as used in the function requires_modulename
					__lowerCAmelCase       =				{}

					for backend, objects in backend_specific_objects.items():
										__lowerCAmelCase       =				'[' + ', '.join(F"""\"{b}\"""" for b in backend.split('_and_'   )   ) + ']'
										__lowerCAmelCase       =				'# This file is autogenerated by the command `make fix-copies`, do not edit.\n'
										dummy_file += "from ..utils import DummyObject, requires_backends\n\n"
										dummy_file += "\n".join([create_dummy_object(UpperCAmelCase__		,       UpperCAmelCase__   ) for o in objects]   )
										__lowerCAmelCase       =				dummy_file

					return dummy_files


def 							__lowercase     (	UpperCAmelCase__=False   ):

					"""simple docstring"""






					__lowerCAmelCase       =				create_dummy_files()
					# For special correspondence backend to shortcut as used in utils/dummy_xxx_objects.py
					__lowerCAmelCase       =				{'torch': 'pt'}

					# Locate actual dummy modules and read their content.
					__lowerCAmelCase       =				os.path.join(UpperCAmelCase__		,       'utils'   )
					__lowerCAmelCase       =				{
					    backend: os.path.join(UpperCAmelCase__		,       F"""dummy_{short_names.get(UpperCAmelCase__		,       UpperCAmelCase__   )}_objects.py"""   )
					    for backend in dummy_files.keys()
					}

					__lowerCAmelCase       =				{}
					for backend, file_path in dummy_file_paths.items():
										if os.path.isfile(UpperCAmelCase__   ):
															with open(UpperCAmelCase__		,       'r'		,       encoding='utf-8'		,       newline='\n'   ) as f:
																				__lowerCAmelCase       =				f.read()
										else:
															__lowerCAmelCase       =				''

					for backend in dummy_files.keys():
										if dummy_files[backend] != actual_dummies[backend]:
															if overwrite:
																				print(
																				    F"""Updating transformers.utils.dummy_{short_names.get(UpperCAmelCase__		,       UpperCAmelCase__   )}_objects.py as the main """
																				    '__init__ has new objects.'   )
																				with open(dummy_file_paths[backend]		,       'w'		,       encoding='utf-8'		,       newline='\n'   ) as f:
																									f.write(dummy_files[backend]   )
															else:
																				raise ValueError(
																				    'The main __init__ has objects that are not present in '
																				    F"""transformers.utils.dummy_{short_names.get(UpperCAmelCase__		,       UpperCAmelCase__   )}_objects.py. Run `make fix-copies` """
																				    'to fix this.'   )


if __name__ == "__main__":
		lowerCamelCase   					=  argparse.ArgumentParser()
		parser.add_argument('''--fix_and_overwrite''', action='''store_true''', help='''Whether to fix inconsistencies.''')
		lowerCamelCase   					=  parser.parse_args()

		check_dummies(args.fix_and_overwrite)









# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import os
from typing import List


def 							__lowercase     (	UpperCAmelCase__		,       UpperCAmelCase__   ):

					"""simple docstring"""






					if name != "training_function" and name != "main":
										raise ValueError(F"""Incorrect function name passed: {name}, choose either 'main' or 'training_function'"""   )
					__lowerCAmelCase,						__lowerCAmelCase       =				[], False
					for line in lines:
										if not found_start and F"""def {name}""" in line:
															__lowerCAmelCase       =				True
															good_lines.append(UpperCAmelCase__   )
															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(UpperCAmelCase__   )


def 							__lowercase     (	UpperCAmelCase__   ):

					"""simple docstring"""






					return [line for line in lines if not line.lstrip().startswith('#'   ) and line != "\n"]


def 							__lowercase     (	UpperCAmelCase__		,       UpperCAmelCase__		,       UpperCAmelCase__		,       UpperCAmelCase__ = None   ):

					"""simple docstring"""






					with open(UpperCAmelCase__		,       'r'   ) as f:
										__lowerCAmelCase       =				f.readlines()
					with open(os.path.abspath(os.path.join('examples'		,       'nlp_example.py'   )   )		,       'r'   ) as f:
										__lowerCAmelCase       =				f.readlines()
					with open(UpperCAmelCase__		,       'r'   ) as f:
										__lowerCAmelCase       =				f.readlines()
					if secondary_filename is not None:
										with open(UpperCAmelCase__		,       'r'   ) as f:
															__lowerCAmelCase       =				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:
										__lowerCAmelCase       =				clean_lines(get_function_contents_by_name(UpperCAmelCase__		,       'main'   )   )
										__lowerCAmelCase       =				clean_lines(get_function_contents_by_name(UpperCAmelCase__		,       'main'   )   )
										__lowerCAmelCase       =				clean_lines(get_function_contents_by_name(UpperCAmelCase__		,       'main'   )   )
										if secondary_filename is not None:
															__lowerCAmelCase       =				clean_lines(get_function_contents_by_name(UpperCAmelCase__		,       'main'   )   )
					else:
										__lowerCAmelCase       =				clean_lines(get_function_contents_by_name(UpperCAmelCase__		,       'training_function'   )   )
										__lowerCAmelCase       =				clean_lines(get_function_contents_by_name(UpperCAmelCase__		,       'training_function'   )   )
										__lowerCAmelCase       =				clean_lines(get_function_contents_by_name(UpperCAmelCase__		,       'training_function'   )   )
										if secondary_filename is not None:
															__lowerCAmelCase       =				clean_lines(
															    get_function_contents_by_name(UpperCAmelCase__		,       'training_function'   )   )

					__lowerCAmelCase       =				'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
					__lowerCAmelCase       =				[]
					__lowerCAmelCase       =				[]  # We keep track of the idxs just in case it's a repeated statement
					__lowerCAmelCase       =				iter(UpperCAmelCase__   )
					for i in range(len(UpperCAmelCase__   ) - 1   ):
										if i not in passed_idxs:
															__lowerCAmelCase       =				next(UpperCAmelCase__   )
															if (line not in full_file_func) and (line.lstrip() != _dl_line):
																				if "TESTING_MOCKED_DATALOADERS" not in line:
																									new_feature_code.append(UpperCAmelCase__   )
																									passed_idxs.append(UpperCAmelCase__   )
																				else:
																									# Skip over the `config['num_epochs'] = 2` statement
																									__lowerCAmelCase       =				next(UpperCAmelCase__   )

    # Extract out just the new parts from the full_file_training_func
					__lowerCAmelCase       =				[]
					__lowerCAmelCase       =				[]  # We keep track of the idxs just in case it's a repeated statement
					for i, line in enumerate(UpperCAmelCase__   ):
										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(UpperCAmelCase__   )
																									passed_idxs.append(UpperCAmelCase__   )

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

					return diff_from_example






