

'''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

	lowerCAmelCase__      		=			True
except ImportError:
	lowerCAmelCase__      		=			False

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


def 	_A  (					A__   ):






	"""simple docstring"""



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






class     lowercase_			(__UpperCAmelCase   ):




		"""simple docstring"""




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






		def __init__(   self     :  Any      ,lowercase__     :  bool      ,lowercase__     :  str      ,lowercase__     :  int=None      ,*lowercase__     :  List[Any]    ):
			__lowercase													=				testing
			__lowercase													=				testing_file
			__lowercase													=				path






		def       SCREAMING_SNAKE_CASE   (   self     :  List[str]    ):
			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
			__lowercase													=				[directory for directory in os.listdir() if '''cookiecutter-template-''' == directory[:2_2]]
			if len(__SCREAMING_SNAKE_CASE    ) > 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.'''    )

			__lowercase													=				(
			    Path(__SCREAMING_SNAKE_CASE    ).parent.parent.parent.parent if self._path is None else Path(self._path    ).parent.parent
			)
			__lowercase													=				path_to_transformer_root / '''templates''' / '''adding_a_new_model'''

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

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

			__lowercase													=				[directory for directory in os.listdir() if '''cookiecutter-template-''' in directory[:2_2]][0]

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

			__lowercase													=				configuration['''lowercase_modelname''']
			__lowercase													=				configuration['''generate_tensorflow_pytorch_and_flax''']
			os.remove(F"{directory}/configuration.json"    )

			__lowercase													=				'''PyTorch''' in generate_tensorflow_pytorch_and_flax
			__lowercase													=				'''TensorFlow''' in generate_tensorflow_pytorch_and_flax
			__lowercase													=				'''Flax''' in generate_tensorflow_pytorch_and_flax

			__lowercase													=				F"{path_to_transformer_root}/src/transformers/models/{lowercase_model_name}"
			os.makedirs(__SCREAMING_SNAKE_CASE      ,exist_ok=__SCREAMING_SNAKE_CASE    )
			os.makedirs(F"{path_to_transformer_root}/tests/models/{lowercase_model_name}"      ,exist_ok=__SCREAMING_SNAKE_CASE    )

			# 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(lowercase__     :  List[str]    ):
				with open(__SCREAMING_SNAKE_CASE      ,'''r'''    ) as f:
					__lowercase													=				f.readlines()
				with open(__SCREAMING_SNAKE_CASE      ,'''w'''    ) as f:
					for line in lines:
						if "# Copied from transformers." not in line:
							f.write(__SCREAMING_SNAKE_CASE    )

			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(lowercase__     :  str      ,lowercase__     :  str      ,lowercase__     :  List[str]    ):
				# Create temp file
				__lowercase						,			__lowercase													=				mkstemp()
				__lowercase													=				False
				with fdopen(__SCREAMING_SNAKE_CASE      ,'''w'''    ) as new_file:
					with open(__SCREAMING_SNAKE_CASE    ) as old_file:
						for line in old_file:
							new_file.write(__SCREAMING_SNAKE_CASE    )
							if line_to_copy_below in line:
								__lowercase													=				True
								for line_to_copy in lines_to_copy:
									new_file.write(__SCREAMING_SNAKE_CASE    )

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

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

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

				remove(__SCREAMING_SNAKE_CASE    )

			replace_in_files(F"{directory}/to_replace_{lowercase_model_name}.py"    )
			os.rmdir(__SCREAMING_SNAKE_CASE    )




'''simple docstring'''






def 	_A  (					A__ = 50   ):






 """simple docstring"""



 __lowercase													=				[1] * (length + 1)

 for row_length in range(3  ,       length + 1   ):
  for block_length in range(3  ,       row_length + 1   ):
   for block_start in range(row_length - block_length   ):
    ways_number[row_length] += ways_number[
        row_length - block_start - block_length - 1
    ]

   ways_number[row_length] += 1

 return ways_number[length]


if __name__ == "__main__":
 print(f'{solution() = }')

