






'''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	:			Optional[Any]         =True
except ImportError:
			_A	:			Dict         =False

_A	:			int         =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__					:	Tuple         =       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:				int			,							UpperCamelCase__:				bool			,							UpperCamelCase__:				str			,							UpperCamelCase__:				Tuple=None			,							*UpperCamelCase__:				List[Any]     ):
														lowerCamelCase__					:	List[str]         =       testing
														lowerCamelCase__					:	str         =       testing_file
														lowerCamelCase__					:	int         =       path




							def 		lowerCamelCase_				(							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
														lowerCamelCase__					:	Optional[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__					:	Union[str, Any]         =       (
														    Path(UpperCamelCase__     ).parent.parent.parent.parent if self._path is None else Path(self._path     ).parent.parent
														)
														lowerCamelCase__					:	str         =       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__					:	Dict         =       [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__					:	str         =       json.load(UpperCamelCase__     )

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

														lowerCamelCase__					:	Any         =       """PyTorch""" in generate_tensorflow_pytorch_and_flax
														lowerCamelCase__					:	Optional[Any]         =       """TensorFlow""" in generate_tensorflow_pytorch_and_flax
														lowerCamelCase__					:	Optional[Any]         =       """Flax""" in generate_tensorflow_pytorch_and_flax

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

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









'''simple docstring'''







from collections.abc import Sequence





def  SCREAMING_SNAKE_CASE_       (UpperCamelCase				,			UpperCamelCase      )      ->       float:
							return sum(c * (x**i) for i, c in enumerate(UpperCamelCase      )      )





def  SCREAMING_SNAKE_CASE_       (UpperCamelCase				,			UpperCamelCase      )      ->       float:
							lowerCamelCase__					:	str         =       0.0
							for coeff in reversed(UpperCamelCase      ):
														lowerCamelCase__					:	Optional[int]         =       result * x + coeff
							return result


if __name__ == "__main__":
			_A	:			Any         =(0.0, 0.0, 5.0, 9.3, 7.0)
			_A	:			Optional[Any]         =10.0
			print(evaluate_poly(poly, x))
			print(horner(poly, x))

