






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

				a_		:    Any   							=     True
except ImportError:
				a_		:    Optional[Any]   							=     False

a_		:    Optional[int]   							=     logging.get_logger(__name__)  # pylint: disable=invalid-name






def 					lowerCamelCase__					(_UpperCAmelCase):
			return AddNewModelCommand(args.testing				,							args.testing_file				,							path=args.path)







class 		_snake_case	(	A__       ):






			@staticmethod
			def  SCREAMING_SNAKE_CASE__     (							a)   ->							int:
						SCREAMING_SNAKE_CASE							=			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=a		,       help='Configuration file on which to run.')
						add_new_model_parser.add_argument(
						    '--path'		,       type=a		,       help='Path to cookiecutter. Should only be used for testing purposes.')
						add_new_model_parser.set_defaults(func=a)






			def __init__(							self		,       a		,       a		,       a=None		,       *a)   ->							Union[str, Any]:
						SCREAMING_SNAKE_CASE							=			testing
						SCREAMING_SNAKE_CASE							=			testing_file
						SCREAMING_SNAKE_CASE							=			path







			def  SCREAMING_SNAKE_CASE__     (							self)   ->							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							=			[directory for directory in os.listdir() if 'cookiecutter-template-' == directory[:22]]
						if len(a) > 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							=			(
						    Path(a).parent.parent.parent.parent if self._path is None else Path(self._path).parent.parent
						)
						SCREAMING_SNAKE_CASE							=			path_to_transformer_root / 'templates' / 'adding_a_new_model'

						# Execute cookiecutter
						if not self._testing:
									cookiecutter(str(a))
						else:
									with open(self._testing_file		,       'r') as configuration_file:
												SCREAMING_SNAKE_CASE							=			json.load(a)

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

						SCREAMING_SNAKE_CASE							=			[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							=			json.load(a)

						SCREAMING_SNAKE_CASE							=			configuration['lowercase_modelname']
						SCREAMING_SNAKE_CASE							=			configuration['generate_tensorflow_pytorch_and_flax']
						os.remove(f'''{directory}/configuration.json''')

						SCREAMING_SNAKE_CASE							=			'PyTorch' in generate_tensorflow_pytorch_and_flax
						SCREAMING_SNAKE_CASE							=			'TensorFlow' in generate_tensorflow_pytorch_and_flax
						SCREAMING_SNAKE_CASE							=			'Flax' in generate_tensorflow_pytorch_and_flax

						SCREAMING_SNAKE_CASE							=			f'''{path_to_transformer_root}/src/transformers/models/{lowercase_model_name}'''
						os.makedirs(a		,       exist_ok=a)
						os.makedirs(f'''{path_to_transformer_root}/tests/models/{lowercase_model_name}'''		,       exist_ok=a)

						# 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(a):
									with open(a		,       'r') as f:
												SCREAMING_SNAKE_CASE							=			f.readlines()
									with open(a		,       'w') as f:
												for line in lines:
															if "# Copied from transformers." not in line:
																		f.write(a)

						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(a		,       a		,       a):
									# Create temp file
									SCREAMING_SNAKE_CASE					,    SCREAMING_SNAKE_CASE							=			mkstemp()
									SCREAMING_SNAKE_CASE							=			False
									with fdopen(a		,       'w') as new_file:
												with open(a) as old_file:
															for line in old_file:
																		new_file.write(a)
																		if line_to_copy_below in line:
																					SCREAMING_SNAKE_CASE							=			True
																					for line_to_copy in lines_to_copy:
																								new_file.write(a)

									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(a		,       a)
									# Remove original file
									remove(a)
									# Move new file
									move(a		,       a)

						def skip_units(a):
									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(a):
									with open(a) as datafile:
												SCREAMING_SNAKE_CASE							=			[]
												SCREAMING_SNAKE_CASE							=			False
												SCREAMING_SNAKE_CASE							=			False
												for line in datafile:
															if "# To replace in: " in line and "##" not in line:
																		SCREAMING_SNAKE_CASE							=			line.split('"')[1]
																		SCREAMING_SNAKE_CASE							=			skip_units(a)
															elif "# Below: " in line and "##" not in line:
																		SCREAMING_SNAKE_CASE							=			line.split('"')[1]
																		SCREAMING_SNAKE_CASE							=			skip_units(a)
															elif "# End." in line and "##" not in line:
																		if not skip_file and not skip_snippet:
																					replace(a		,       a		,       a)

																		SCREAMING_SNAKE_CASE							=			[]
															elif "# Replace with" in line and "##" not in line:
																		SCREAMING_SNAKE_CASE							=			[]
															elif "##" not in line:
																		lines_to_copy.append(a)

									remove(a)

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









"""simple docstring"""







def     UpperCAmelCase_					(				):




			'''simple docstring'''



			_lowerCamelCase					:					str	       =    0
			for i in range(1      ,							10_01						):
						total += i**i
			return str(__a						)[-10:]


if __name__ == "__main__":
	print(solution())





