"""simple docstring"""



# 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    _A(		lowerCAmelCase ,     lowerCAmelCase       ):
							if name != "training_function" and name != "main":
														raise ValueError(F'''Incorrect function name passed: {name}, choose either \'main\' or \'training_function\''''       )
							A__							,       A__					:    Tuple														= [], False
							for line in lines:
														if not found_start and F'''def {name}''' in line:
																					A__					:    List[Any]														= True
																					good_lines.append(lowerCAmelCase       )
																					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(lowerCAmelCase       )

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



def    _A(		lowerCAmelCase ,     lowerCAmelCase ,     lowerCAmelCase ,     lowerCAmelCase = None       ):
							with open(lowerCAmelCase ,     """r"""       ) as f:
														A__					:    Tuple														= f.readlines()
							with open(os.path.abspath(os.path.join("""examples""" ,     """nlp_example.py"""       )       ) ,     """r"""       ) as f:
														A__					:    Optional[int]														= f.readlines()
							with open(lowerCAmelCase ,     """r"""       ) as f:
														A__					:    str														= f.readlines()
							if secondary_filename is not None:
														with open(lowerCAmelCase ,     """r"""       ) as f:
																					A__					:    Tuple														= 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:
														A__					:    str														= clean_lines(get_function_contents_by_name(lowerCAmelCase ,     """main"""       )       )
														A__					:    Tuple														= clean_lines(get_function_contents_by_name(lowerCAmelCase ,     """main"""       )       )
														A__					:    List[Any]														= clean_lines(get_function_contents_by_name(lowerCAmelCase ,     """main"""       )       )
														if secondary_filename is not None:
																					A__					:    List[Any]														= clean_lines(get_function_contents_by_name(lowerCAmelCase ,     """main"""       )       )
							else:
														A__					:    Optional[int]														= clean_lines(get_function_contents_by_name(lowerCAmelCase ,     """training_function"""       )       )
														A__					:    int														= clean_lines(get_function_contents_by_name(lowerCAmelCase ,     """training_function"""       )       )
														A__					:    Union[str, Any]														= clean_lines(get_function_contents_by_name(lowerCAmelCase ,     """training_function"""       )       )
														if secondary_filename is not None:
																					A__					:    List[Any]														= clean_lines(
																					    get_function_contents_by_name(lowerCAmelCase ,     """training_function"""       )       )

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

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

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

							return diff_from_example






"""simple docstring"""



import enum
import inspect
import warnings
from functools import wraps
from typing import Callable, Optional

from .logging import get_logger


_UpperCamelCase         =		set()
_UpperCamelCase         =		get_logger(__name__)

def    _A(		lowerCAmelCase = None       ):

							def decorator(lowerCAmelCase       ):
														global _emitted_deprecation_warnings

														if inspect.isclass(lowerCAmelCase       ):
																					A__					:    List[Any]														= deprecated_class_or_function.__init__
																					A__					:    Any														= deprecated_class_or_function.__name__
														else:
																					A__					:    Dict														= deprecated_class_or_function
																					A__					:    Optional[int]														= deprecated_function.__name__
																					# Support deprecating __init__ class method: class name instead
																					A__					:    List[str]														= name if name != """__init__""" else deprecated_function.__qualname__.split("""."""       )[-2]

														A__					:    Union[str, Any]														= (
														    F'''{name} is deprecated and will be removed in the next major version of datasets.''' + F''' {help_message}'''
														    if help_message
														    else """"""
														)

														@wraps(lowerCAmelCase       )
														def wrapper(*lowerCAmelCase ,     **lowerCAmelCase       ):
																					A__					:    Tuple														= hash(lowerCAmelCase       )
																					if func_hash not in _emitted_deprecation_warnings:
																												warnings.warn(lowerCAmelCase ,     category=lowerCAmelCase ,     stacklevel=2       )
																												_emitted_deprecation_warnings.add(lowerCAmelCase       )
																					return deprecated_function(*lowerCAmelCase ,     **lowerCAmelCase       )

														A__					:    int														= """deprecated"""

														if inspect.isclass(lowerCAmelCase       ):
																					A__					:    Union[str, Any]														= wrapper
																					return deprecated_class_or_function
														else:
																					return wrapper

							return decorator
class 	__UpperCAmelCase						(enum.EnumMeta    ):







			'''simple docstring'''





			def __getattribute__( cls      ,			snake_case_       ):







										'''simple docstring'''


										A__					:    Union[str, Any]														= super().__getattribute__(snake_case_       )
										if isinstance(snake_case_      ,			enum.Enum       ) and obj._on_access:
																	obj._on_access()
										return obj





			def __getitem__( cls      ,			snake_case_       ):







										'''simple docstring'''


										A__					:    Tuple														= super().__getitem__(snake_case_       )
										if member._on_access:
																	member._on_access()
										return member





			def __call__( cls      ,			snake_case_      ,			snake_case_=None      ,			*, snake_case_=None      ,			snake_case_=None      ,			snake_case_=None      ,			snake_case_=1       ):







										'''simple docstring'''


										A__					:    List[Any]														= super().__call__(snake_case_      ,			snake_case_      ,			module=snake_case_      ,			qualname=snake_case_      ,			type=snake_case_      ,			start=snake_case_       )
										if isinstance(snake_case_      ,			enum.Enum       ) and obj._on_access:
																	obj._on_access()
										return obj





class 	__UpperCAmelCase						(enum.Enum       ,      metaclass=__A    ):







			'''simple docstring'''





			def __new__( cls      ,			snake_case_       ):







										'''simple docstring'''


										A__					:    Tuple														= object.__new__(cls       )
										A__					:    int														= value
										A__					:    Optional[int]														= member.deprecate
										return member





			@property
			def 		lowerCamelCase				( self       ):







										'''simple docstring'''


										return ""





			def 		lowerCamelCase				( self       ):







										'''simple docstring'''


										A__					:    Tuple														= F''' {self.help_message}''' if self.help_message else """"""
										warnings.warn(
										    F'''\'{self.__objclass__.__name__}\' is deprecated and will be removed in the next major version of datasets.'''
										    + help_message      ,			snake_case_      ,			stacklevel=3      ,			)





