'''simple docstring'''







import json
import os
import shutil
import warnings
from argparse import ArgumentParser, Namespace
from pathlib import Path
from typing import List

from ..utils import logging
from . import BaseTransformersCLICommand


try:
		from cookiecutter.main import cookiecutter

		UpperCamelCase_      	=	True
except ImportError:
		UpperCamelCase_      	=	False

UpperCamelCase_      	=	logging.get_logger(__name__)  # pylint: disable=invalid-name


def    lowerCamelCase       (			UpperCAmelCase__				:  Namespace		)			->	int:


							'''simple docstring'''






							return AddNewModelCommand(args.testing				,						args.testing_file				,						path=args.path		)





class _SCREAMING_SNAKE_CASE(							_SCREAMING_SNAKE_CASE					):




						@staticmethod
						def      __lowerCamelCase       (    UpperCamelCase_ :       ArgumentParser      )     ->				List[Any]:
													SCREAMING_SNAKE_CASE__     :Any						    = parser.add_parser('add-new-model'      )
													add_new_model_parser.add_argument('--testing'							,							action='store_true'							,							help='If in testing mode.'      )
													add_new_model_parser.add_argument('--testing_file'							,							type=UpperCamelCase_							,							help='Configuration file on which to run.'      )
													add_new_model_parser.add_argument(
													    '--path'							,							type=UpperCamelCase_							,							help='Path to cookiecutter. Should only be used for testing purposes.'      )
													add_new_model_parser.set_defaults(func=UpperCamelCase_      )




						def __init__(    self :       Optional[int]							,							UpperCamelCase_ :       bool							,							UpperCamelCase_ :       str							,							UpperCamelCase_ :       Dict=None							,							*UpperCamelCase_ :       str      )     ->				Optional[int]:
													SCREAMING_SNAKE_CASE__     :Optional[Any]						    = testing
													SCREAMING_SNAKE_CASE__     :Optional[int]						    = testing_file
													SCREAMING_SNAKE_CASE__     :Dict						    = path




						def      __lowerCamelCase       (    self :       str      )     ->				Tuple:
													warnings.warn(
													    'The command `transformers-cli add-new-model` is deprecated and will be removed in v5 of Transformers. '
													    'It is not actively maintained anymore, so might give a result that won\'t pass all tests and quality '
													    'checks, you should use `transformers-cli add-new-model-like` instead.'      )
													if not _has_cookiecutter:
																				raise ImportError(
																				    'Model creation dependencies are required to use the `add_new_model` command. Install them by running '
																				    'the following at the root of your `transformers` clone:\n\n\t$ pip install -e .[modelcreation]\n'      )
													# Ensure that there is no other `cookiecutter-template-xxx` directory in the current working directory
													SCREAMING_SNAKE_CASE__     :Optional[int]						    = [directory for directory in os.listdir() if 'cookiecutter-template-' == directory[:22]]
													if len(UpperCamelCase_      ) > 0:
																				raise ValueError(
																				    'Several directories starting with `cookiecutter-template-` in current working directory. '
																				    'Please clean your directory by removing all folders starting with `cookiecutter-template-` or '
																				    'change your working directory.'      )

													SCREAMING_SNAKE_CASE__     :Optional[Any]						    = (
													    Path(UpperCamelCase_      ).parent.parent.parent.parent if self._path is None else Path(self._path      ).parent.parent
													)
													SCREAMING_SNAKE_CASE__     :Any						    = path_to_transformer_root / 'templates' / 'adding_a_new_model'

													# Execute cookiecutter
													if not self._testing:
																				cookiecutter(str(UpperCamelCase_      )      )
													else:
																				with open(self._testing_file							,							'r'      ) as configuration_file:
																											SCREAMING_SNAKE_CASE__     :List[Any]						    = json.load(UpperCamelCase_      )

																				cookiecutter(
																				    str(path_to_cookiecutter if self._path is None else self._path      )							,							no_input=UpperCamelCase_							,							extra_context=UpperCamelCase_							,							)

													SCREAMING_SNAKE_CASE__     :Any						    = [directory for directory in os.listdir() if 'cookiecutter-template-' in directory[:22]][0]

													# Retrieve configuration
													with open(directory + '/configuration.json'							,							'r'      ) as configuration_file:
																				SCREAMING_SNAKE_CASE__     :Any						    = json.load(UpperCamelCase_      )

													SCREAMING_SNAKE_CASE__     :int						    = configuration['lowercase_modelname']
													SCREAMING_SNAKE_CASE__     :Union[str, Any]						    = configuration['generate_tensorflow_pytorch_and_flax']
													os.remove(f'''{directory}/configuration.json'''      )

													SCREAMING_SNAKE_CASE__     :Dict						    = 'PyTorch' in generate_tensorflow_pytorch_and_flax
													SCREAMING_SNAKE_CASE__     :List[str]						    = 'TensorFlow' in generate_tensorflow_pytorch_and_flax
													SCREAMING_SNAKE_CASE__     :Tuple						    = 'Flax' in generate_tensorflow_pytorch_and_flax

													SCREAMING_SNAKE_CASE__     :Any						    = f'''{path_to_transformer_root}/src/transformers/models/{lowercase_model_name}'''
													os.makedirs(UpperCamelCase_							,							exist_ok=UpperCamelCase_      )
													os.makedirs(f'''{path_to_transformer_root}/tests/models/{lowercase_model_name}'''							,							exist_ok=UpperCamelCase_      )

													# Tests require submodules as they have parent imports
													with open(f'''{path_to_transformer_root}/tests/models/{lowercase_model_name}/__init__.py'''							,							'w'      ):
																				pass

													shutil.move(
													    f'''{directory}/__init__.py'''							,							f'''{model_dir}/__init__.py'''							,							)
													shutil.move(
													    f'''{directory}/configuration_{lowercase_model_name}.py'''							,							f'''{model_dir}/configuration_{lowercase_model_name}.py'''							,							)

													def remove_copy_lines(UpperCamelCase_ :       Optional[int]      ):
																				with open(UpperCamelCase_							,							'r'      ) as f:
																											SCREAMING_SNAKE_CASE__     :Dict						    = f.readlines()
																				with open(UpperCamelCase_							,							'w'      ) as f:
																											for line in lines:
																																		if "# Copied from transformers." not in line:
																																									f.write(UpperCamelCase_      )

													if output_pytorch:
																				if not self._testing:
																											remove_copy_lines(f'''{directory}/modeling_{lowercase_model_name}.py'''      )

																				shutil.move(
																				    f'''{directory}/modeling_{lowercase_model_name}.py'''							,							f'''{model_dir}/modeling_{lowercase_model_name}.py'''							,							)

																				shutil.move(
																				    f'''{directory}/test_modeling_{lowercase_model_name}.py'''							,							f'''{path_to_transformer_root}/tests/models/{lowercase_model_name}/test_modeling_{lowercase_model_name}.py'''							,							)
													else:
																				os.remove(f'''{directory}/modeling_{lowercase_model_name}.py'''      )
																				os.remove(f'''{directory}/test_modeling_{lowercase_model_name}.py'''      )

													if output_tensorflow:
																				if not self._testing:
																											remove_copy_lines(f'''{directory}/modeling_tf_{lowercase_model_name}.py'''      )

																				shutil.move(
																				    f'''{directory}/modeling_tf_{lowercase_model_name}.py'''							,							f'''{model_dir}/modeling_tf_{lowercase_model_name}.py'''							,							)

																				shutil.move(
																				    f'''{directory}/test_modeling_tf_{lowercase_model_name}.py'''							,							f'''{path_to_transformer_root}/tests/models/{lowercase_model_name}/test_modeling_tf_{lowercase_model_name}.py'''							,							)
													else:
																				os.remove(f'''{directory}/modeling_tf_{lowercase_model_name}.py'''      )
																				os.remove(f'''{directory}/test_modeling_tf_{lowercase_model_name}.py'''      )

													if output_flax:
																				if not self._testing:
																											remove_copy_lines(f'''{directory}/modeling_flax_{lowercase_model_name}.py'''      )

																				shutil.move(
																				    f'''{directory}/modeling_flax_{lowercase_model_name}.py'''							,							f'''{model_dir}/modeling_flax_{lowercase_model_name}.py'''							,							)

																				shutil.move(
																				    f'''{directory}/test_modeling_flax_{lowercase_model_name}.py'''							,							f'''{path_to_transformer_root}/tests/models/{lowercase_model_name}/test_modeling_flax_{lowercase_model_name}.py'''							,							)
													else:
																				os.remove(f'''{directory}/modeling_flax_{lowercase_model_name}.py'''      )
																				os.remove(f'''{directory}/test_modeling_flax_{lowercase_model_name}.py'''      )

													shutil.move(
													    f'''{directory}/{lowercase_model_name}.md'''							,							f'''{path_to_transformer_root}/docs/source/en/model_doc/{lowercase_model_name}.md'''							,							)

													shutil.move(
													    f'''{directory}/tokenization_{lowercase_model_name}.py'''							,							f'''{model_dir}/tokenization_{lowercase_model_name}.py'''							,							)

													shutil.move(
													    f'''{directory}/tokenization_fast_{lowercase_model_name}.py'''							,							f'''{model_dir}/tokenization_{lowercase_model_name}_fast.py'''							,							)

													from os import fdopen, remove
													from shutil import copymode, move
													from tempfile import mkstemp

													def replace(UpperCamelCase_ :       str							,							UpperCamelCase_ :       str							,							UpperCamelCase_ :       List[str]      ):
																				# Create temp file
																				SCREAMING_SNAKE_CASE__    ,      SCREAMING_SNAKE_CASE__     :str						    = mkstemp()
																				SCREAMING_SNAKE_CASE__     :Any						    = False
																				with fdopen(UpperCamelCase_							,							'w'      ) as new_file:
																											with open(UpperCamelCase_      ) as old_file:
																																		for line in old_file:
																																									new_file.write(UpperCamelCase_      )
																																									if line_to_copy_below in line:
																																																SCREAMING_SNAKE_CASE__     :Optional[int]						    = True
																																																for line_to_copy in lines_to_copy:
																																																							new_file.write(UpperCamelCase_      )

																				if not line_found:
																											raise ValueError(f'''Line {line_to_copy_below} was not found in file.'''      )

																				# Copy the file permissions from the old file to the new file
																				copymode(UpperCamelCase_							,							UpperCamelCase_      )
																				# Remove original file
																				remove(UpperCamelCase_      )
																				# Move new file
																				move(UpperCamelCase_							,							UpperCamelCase_      )

													def skip_units(UpperCamelCase_ :       List[str]      ):
																				return (
																				    ("generating PyTorch" in line and not output_pytorch)
																				    or ("generating TensorFlow" in line and not output_tensorflow)
																				    or ("generating Flax" in line and not output_flax)
																				)

													def replace_in_files(UpperCamelCase_ :       Optional[int]      ):
																				with open(UpperCamelCase_      ) as datafile:
																											SCREAMING_SNAKE_CASE__     :Dict						    = []
																											SCREAMING_SNAKE_CASE__     :List[str]						    = False
																											SCREAMING_SNAKE_CASE__     :Tuple						    = False
																											for line in datafile:
																																		if "# To replace in: " in line and "##" not in line:
																																									SCREAMING_SNAKE_CASE__     :List[Any]						    = line.split('"'      )[1]
																																									SCREAMING_SNAKE_CASE__     :Dict						    = skip_units(UpperCamelCase_      )
																																		elif "# Below: " in line and "##" not in line:
																																									SCREAMING_SNAKE_CASE__     :List[Any]						    = line.split('"'      )[1]
																																									SCREAMING_SNAKE_CASE__     :Dict						    = skip_units(UpperCamelCase_      )
																																		elif "# End." in line and "##" not in line:
																																									if not skip_file and not skip_snippet:
																																																replace(UpperCamelCase_							,							UpperCamelCase_							,							UpperCamelCase_      )

																																									SCREAMING_SNAKE_CASE__     :int						    = []
																																		elif "# Replace with" in line and "##" not in line:
																																									SCREAMING_SNAKE_CASE__     :List[str]						    = []
																																		elif "##" not in line:
																																									lines_to_copy.append(UpperCamelCase_      )

																				remove(UpperCamelCase_      )

													replace_in_files(f'''{directory}/to_replace_{lowercase_model_name}.py'''      )
													os.rmdir(UpperCamelCase_      )







'''simple docstring'''







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


UpperCamelCase_      	=	{
    '''configuration_m2m_100''': ['''M2M_100_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''M2M100Config''', '''M2M100OnnxConfig'''],
    '''tokenization_m2m_100''': ['''M2M100Tokenizer'''],
}


try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		UpperCamelCase_      	=	[
		    '''M2M_100_PRETRAINED_MODEL_ARCHIVE_LIST''',
		    '''M2M100ForConditionalGeneration''',
		    '''M2M100Model''',
		    '''M2M100PreTrainedModel''',
		]


if TYPE_CHECKING:
		from .configuration_mam_aaa import M2M_100_PRETRAINED_CONFIG_ARCHIVE_MAP, MaMaaaConfig, MaMaaaOnnxConfig
		from .tokenization_mam_aaa import MaMaaaTokenizer

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_mam_aaa import (
				    M2M_100_PRETRAINED_MODEL_ARCHIVE_LIST,
				    MaMaaaForConditionalGeneration,
				    MaMaaaModel,
				    MaMaaaPreTrainedModel,
				)


else:
		import sys

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






