"""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     UpperCamelCase						(	__lowercase						:			Tuple     ):
		'''simple docstring'''




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





class UpperCAmelCase						( SCREAMING_SNAKE_CASE__  ):


				'''simple docstring'''






				@staticmethod
				def   lowerCAmelCase_       (						lowercase ):



						"""simple docstring"""





						A_		:    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=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		,     lowercase		,     lowercase		,     lowercase=None		,     *lowercase ):



						"""simple docstring"""





						A_		:    str         =				testing
						A_		:    str         =				testing_file
						A_		:    Tuple         =				path







				def   lowerCAmelCase_       (						self ):



						"""simple docstring"""





						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_		:    Optional[int]         =				[directory for directory in os.listdir() if 'cookiecutter-template-' == directory[:2_2]]
						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_		:    Union[str, Any]         =				(
						    Path(A__ ).parent.parent.parent.parent if self._path is None else Path(self._path ).parent.parent
						)
						A_		:    List[Any]         =				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_		:    Tuple         =				json.load(A__ )

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

						A_		:    Any         =				[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:
								A_		:    Dict         =				json.load(A__ )

						A_		:    str         =				configuration['lowercase_modelname']
						A_		:    Optional[int]         =				configuration['generate_tensorflow_pytorch_and_flax']
						os.remove(F'''{directory}/configuration.json''' )

						A_		:    Union[str, Any]         =				'PyTorch' in generate_tensorflow_pytorch_and_flax
						A_		:    Optional[Any]         =				'TensorFlow' in generate_tensorflow_pytorch_and_flax
						A_		:    int         =				'Flax' in generate_tensorflow_pytorch_and_flax

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

														A_		:    Optional[int]         =				[]
												elif "# Replace with" in line and "##" not in line:
														A_		:    List[str]         =				[]
												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 isqrt




def     UpperCamelCase						(	__lowercase						:			int     ):
		'''simple docstring'''




		return all(number % divisor != 0 for divisor in range(2						,isqrt(__lowercase     ) + 1     )     )




def     UpperCamelCase						(	__lowercase						:			int = 10**6     ):
		'''simple docstring'''




		A_		:    Optional[Any]         =				0
		A_		:    List[str]         =				1
		A_		:    Dict         =				7
		while prime_candidate < max_prime:
				primes_count += is_prime(__lowercase     )

				cube_index += 1
				prime_candidate += 6 * cube_index

		return primes_count


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






