






'''simple docstring'''







def 			SCREAMING_SNAKE_CASE_	(UpperCamelCase				)				->	Dict:

							if not isinstance(UpperCamelCase    ,      UpperCamelCase				):
														lowerCamelCase__ :     List[str]	  =	f'''Input value of [number={number}] must be an integer'''
														raise TypeError(UpperCamelCase				)

							if number < 1:
														lowerCamelCase__ :     Union[str, Any]	  =	f'''Input value of [number={number}] must be > 0'''
														raise ValueError(UpperCamelCase				)

							lowerCamelCase__ :     List[Any]	  =	1

							for i in range(1    ,      UpperCamelCase				):
														current_number *= 4 * i - 2
														current_number //= i + 1

							return current_number


if __name__ == "__main__":
			import doctest

			doctest.testmod()












'''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

			_A     :      List[Any]   					=True
except ImportError:
			_A     :      int   					=False

_A     :      Union[str, Any]   					=logging.get_logger(__name__)  # pylint: disable=invalid-name





def 			SCREAMING_SNAKE_CASE_	(UpperCamelCase				)				->	Tuple:
							return AddNewModelCommand(args.testing    ,      args.testing_file    ,      path=args.path				)



class _lowercase     (    _lowercase		):




							@staticmethod
							def 		lowerCamelCase_    (							UpperCamelCase__:    ArgumentParser					):
														lowerCamelCase__ :     List[str]	  =	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__:    str=None      ,							*UpperCamelCase__:    Optional[int]					):
														lowerCamelCase__ :     List[Any]	  =	testing
														lowerCamelCase__ :     Tuple	  =	testing_file
														lowerCamelCase__ :     int	  =	path




							def 		lowerCamelCase_    (							self:    int					):
														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
														lowerCamelCase__ :     List[Any]	  =	[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."""					)

														lowerCamelCase__ :     int	  =	(
														    Path(UpperCamelCase__					).parent.parent.parent.parent if self._path is None else Path(self._path					).parent.parent
														)
														lowerCamelCase__ :     int	  =	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:
																												lowerCamelCase__ :     List[str]	  =	json.load(UpperCamelCase__					)

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

														lowerCamelCase__ :     Optional[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:
																					lowerCamelCase__ :     int	  =	json.load(UpperCamelCase__					)

														lowerCamelCase__ :     Tuple	  =	configuration["""lowercase_modelname"""]
														lowerCamelCase__ :     int	  =	configuration["""generate_tensorflow_pytorch_and_flax"""]
														os.remove(F'''{directory}/configuration.json'''					)

														lowerCamelCase__ :     Union[str, Any]	  =	"""PyTorch""" in generate_tensorflow_pytorch_and_flax
														lowerCamelCase__ :     Union[str, Any]	  =	"""TensorFlow""" in generate_tensorflow_pytorch_and_flax
														lowerCamelCase__ :     Tuple	  =	"""Flax""" in generate_tensorflow_pytorch_and_flax

														lowerCamelCase__ :     List[str]	  =	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:
																												lowerCamelCase__ :     Union[str, Any]	  =	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
																					lowerCamelCase__  ,		lowerCamelCase__ :     Any	  =	mkstemp()
																					lowerCamelCase__ :     Tuple	  =	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:
																																																	lowerCamelCase__ :     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__:    Optional[int]					):
																					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__:    List[str]					):
																					with open(UpperCamelCase__					) as datafile:
																												lowerCamelCase__ :     int	  =	[]
																												lowerCamelCase__ :     Tuple	  =	False
																												lowerCamelCase__ :     int	  =	False
																												for line in datafile:
																																			if "# To replace in: " in line and "##" not in line:
																																										lowerCamelCase__ :     List[str]	  =	line.split("""\""""					)[1]
																																										lowerCamelCase__ :     List[str]	  =	skip_units(UpperCamelCase__					)
																																			elif "# Below: " in line and "##" not in line:
																																										lowerCamelCase__ :     List[Any]	  =	line.split("""\""""					)[1]
																																										lowerCamelCase__ :     Union[str, Any]	  =	skip_units(UpperCamelCase__					)
																																			elif "# End." in line and "##" not in line:
																																										if not skip_file and not skip_snippet:
																																																	replace(UpperCamelCase__      ,							UpperCamelCase__      ,							UpperCamelCase__					)

																																										lowerCamelCase__ :     Union[str, Any]	  =	[]
																																			elif "# Replace with" in line and "##" not in line:
																																										lowerCamelCase__ :     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__					)

