


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

						snake_case      =   True
except ImportError:
						snake_case      =   False

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






def 							__lowercase     (				__lowerCAmelCase							:       int     ):
							return AddNewModelCommand(args.testing      ,					args.testing_file      ,					path=args.path     )







class  snake_case_     (__lowerCamelCase   ):
					@staticmethod
					def 				lowerCamelCase__(   __snake_case     :Optional[Any]   )      ->					Optional[int]:
												a__    =  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     :str    ,__snake_case     :List[Any]    ,__snake_case     :str    ,__snake_case     :List[Any]=None    ,*__snake_case     :Any   )      ->					Optional[Any]:
												a__    =  testing
												a__    =  testing_file
												a__    =  path



					def 				lowerCamelCase__(   self     :List[str]   )      ->					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
												a__    =  [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.'   )

												a__    =  (
												    Path(a_   ).parent.parent.parent.parent if self._path is None else Path(self._path   ).parent.parent
												)
												a__    =  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:
																										a__    =  json.load(a_   )

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

												a__    =  [directory for directory in os.listdir() if "cookiecutter-template-" in directory[:22]][0]

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

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

												a__    =  "PyTorch" in generate_tensorflow_pytorch_and_flax
												a__    =  "TensorFlow" in generate_tensorflow_pytorch_and_flax
												a__    =  "Flax" in generate_tensorflow_pytorch_and_flax

												a__    =  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(__snake_case     :str   ):
																			with open(a_    ,'r'   ) as f:
																										a__    =  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(__snake_case     :Optional[Any]    ,__snake_case     :Optional[Any]    ,__snake_case     :Union[str, Any]   ):
																			# Create temp file
																			a__    =  mkstemp()
																			a__    =  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:
																																															a__    =  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(__snake_case     :Optional[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(__snake_case     :int   ):
																			with open(a_   ) as datafile:
																										a__    =  []
																										a__    =  False
																										a__    =  False
																										for line in datafile:
																																	if "# To replace in: " in line and "##" not in line:
																																								a__    =  line.split('\"'   )[1]
																																								a__    =  skip_units(a_   )
																																	elif "# Below: " in line and "##" not in line:
																																								a__    =  line.split('\"'   )[1]
																																								a__    =  skip_units(a_   )
																																	elif "# End." in line and "##" not in line:
																																								if not skip_file and not skip_snippet:
																																															replace(a_    ,a_    ,a_   )

																																								a__    =  []
																																	elif "# Replace with" in line and "##" not in line:
																																								a__    =  []
																																	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_   )








from math import ceil, sqrt






def 							__lowercase     (				__lowerCAmelCase							:       int = 1_0_0_0_0_0_0     ):
							a__    =  0

							for outer_width in range(3      ,					(limit // 4) + 2     ):
														if outer_width**2 > limit:
																					a__    =  max(ceil(sqrt(outer_width**2 - limit     )     )      ,					1     )
														else:
																					a__    =  1
														if (outer_width - hole_width_lower_bound) % 2:
																					hole_width_lower_bound += 1

														answer += (outer_width - hole_width_lower_bound - 2) // 2 + 1

							return answer


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




