






"""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        snake_case   (     A__		):
			return AddNewModelCommand(args.testing			,args.testing_file			,path=args.path		)







class     UpperCamelCase_ (__A  ):





	@staticmethod
	def   _SCREAMING_SNAKE_CASE   (   lowerCAmelCase_      :				ArgumentParser		)		->    Union[str, Any]:
				UpperCAmelCase_  :				int      =      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=lowerCAmelCase_			,			help="Configuration file on which to run."		)
				add_new_model_parser.add_argument(
				    "--path"			,			type=lowerCAmelCase_			,			help="Path to cookiecutter. Should only be used for testing purposes."		)
				add_new_model_parser.set_defaults(func=lowerCAmelCase_		)





	def __init__(   self      :				Union[str, Any]			,			lowerCAmelCase_      :				bool			,			lowerCAmelCase_      :				str			,			lowerCAmelCase_      :				Optional[int]=None			,			*lowerCAmelCase_      :				Dict		)		->    List[Any]:
				UpperCAmelCase_  :				str      =      testing
				UpperCAmelCase_  :				str      =      testing_file
				UpperCAmelCase_  :				List[str]      =      path





	def   _SCREAMING_SNAKE_CASE   (   self      :				Optional[Any]		)		->    Dict:
				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
				UpperCAmelCase_  :				Dict      =      [directory for directory in os.listdir() if "cookiecutter-template-" == directory[:22]]
				if len(lowerCAmelCase_		) > 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."		)

				UpperCAmelCase_  :				Optional[Any]      =      (
				    Path(lowerCAmelCase_		).parent.parent.parent.parent if self._path is None else Path(self._path		).parent.parent
				)
				UpperCAmelCase_  :				List[str]      =      path_to_transformer_root / "templates" / "adding_a_new_model"

				# Execute cookiecutter
				if not self._testing:
							cookiecutter(str(lowerCAmelCase_		)		)
				else:
							with open(self._testing_file			,			"r"		) as configuration_file:
										UpperCAmelCase_  :				Any      =      json.load(lowerCAmelCase_		)

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

				UpperCAmelCase_  :				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:
							UpperCAmelCase_  :				Tuple      =      json.load(lowerCAmelCase_		)

				UpperCAmelCase_  :				int      =      configuration["lowercase_modelname"]
				UpperCAmelCase_  :				Optional[Any]      =      configuration["generate_tensorflow_pytorch_and_flax"]
				os.remove(f"""{directory}/configuration.json"""		)

				UpperCAmelCase_  :				Optional[int]      =      "PyTorch" in generate_tensorflow_pytorch_and_flax
				UpperCAmelCase_  :				Dict      =      "TensorFlow" in generate_tensorflow_pytorch_and_flax
				UpperCAmelCase_  :				Union[str, Any]      =      "Flax" in generate_tensorflow_pytorch_and_flax

				UpperCAmelCase_  :				List[Any]      =      f"""{path_to_transformer_root}/src/transformers/models/{lowercase_model_name}"""
				os.makedirs(lowerCAmelCase_			,			exist_ok=lowerCAmelCase_		)
				os.makedirs(f"""{path_to_transformer_root}/tests/models/{lowercase_model_name}"""			,			exist_ok=lowerCAmelCase_		)

				# 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(lowerCAmelCase_      :				Optional[int]		):
							with open(lowerCAmelCase_			,			"r"		) as f:
										UpperCAmelCase_  :				Tuple      =      f.readlines()
							with open(lowerCAmelCase_			,			"w"		) as f:
										for line in lines:
													if "# Copied from transformers." not in line:
																f.write(lowerCAmelCase_		)

				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(lowerCAmelCase_      :				str			,			lowerCAmelCase_      :				str			,			lowerCAmelCase_      :				List[str]		):
							# Create temp file
							UpperCAmelCase_  :				Optional[int]      =      mkstemp()
							UpperCAmelCase_  :				str      =      False
							with fdopen(lowerCAmelCase_			,			"w"		) as new_file:
										with open(lowerCAmelCase_		) as old_file:
													for line in old_file:
																new_file.write(lowerCAmelCase_		)
																if line_to_copy_below in line:
																			UpperCAmelCase_  :				List[str]      =      True
																			for line_to_copy in lines_to_copy:
																						new_file.write(lowerCAmelCase_		)

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

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

																UpperCAmelCase_  :				List[str]      =      []
													elif "# Replace with" in line and "##" not in line:
																UpperCAmelCase_  :				List[Any]      =      []
													elif "##" not in line:
																lines_to_copy.append(lowerCAmelCase_		)

							remove(lowerCAmelCase_		)

				replace_in_files(f"""{directory}/to_replace_{lowercase_model_name}.py"""		)
				os.rmdir(lowerCAmelCase_		)











"""simple docstring"""
class     UpperCamelCase_ :





	def __init__(   self      :				List[str]			,			lowerCAmelCase_      :				int			,			lowerCAmelCase_      :				int=None			,			lowerCAmelCase_      :				List[Any]=None		)		->    int:
				UpperCAmelCase_  :				int      =      data
				UpperCAmelCase_  :				Optional[int]      =      previous
				UpperCAmelCase_  :				int      =      next_node





	def __str__(   self      :				Dict		)		->    str:
				return f"""{self.data}"""





	def   _SCREAMING_SNAKE_CASE   (   self      :				Any		)		->    int:
				return self.data





	def   _SCREAMING_SNAKE_CASE   (   self      :				Dict		)		->    Union[str, Any]:
				return self.next





	def   _SCREAMING_SNAKE_CASE   (   self      :				Union[str, Any]		)		->    Optional[int]:
				return self.previous







class     UpperCamelCase_ :





	def __init__(   self      :				Any			,			lowerCAmelCase_      :				str		)		->    List[str]:
				UpperCAmelCase_  :				Union[str, Any]      =      head





	def __iter__(   self      :				Any		)		->    List[str]:
				return self





	def   _SCREAMING_SNAKE_CASE   (   self      :				Union[str, Any]		)		->    str:
				if not self.current:
							raise StopIteration
				else:
							UpperCAmelCase_  :				Optional[int]      =      self.current.get_data()
							UpperCAmelCase_  :				Dict      =      self.current.get_next()
							return value







class     UpperCamelCase_ :





	def __init__(   self      :				List[str]		)		->    Tuple:
				UpperCAmelCase_  :				Tuple      =      None  # First node in list
				UpperCAmelCase_  :				Union[str, Any]      =      None  # Last node in list





	def __str__(   self      :				List[Any]		)		->    Optional[int]:
				UpperCAmelCase_  :				List[str]      =      self.head
				UpperCAmelCase_  :				int      =      []
				while current is not None:
							nodes.append(current.get_data()		)
							UpperCAmelCase_  :				Optional[Any]      =      current.get_next()
				return " ".join(str(lowerCAmelCase_		) for node in nodes		)





	def __contains__(   self      :				int			,			lowerCAmelCase_      :				int		)		->    List[str]:
				UpperCAmelCase_  :				Optional[int]      =      self.head
				while current:
							if current.get_data() == value:
										return True
							UpperCAmelCase_  :				Union[str, Any]      =      current.get_next()
				return False





	def __iter__(   self      :				int		)		->    Tuple:
				return LinkedListIterator(self.head		)





	def   _SCREAMING_SNAKE_CASE   (   self      :				List[Any]		)		->    Optional[int]:
				if self.head:
							return self.head.get_data()
				return None





	def   _SCREAMING_SNAKE_CASE   (   self      :				str		)		->    Optional[Any]:
				if self.tail:
							return self.tail.get_data()
				return None





	def   _SCREAMING_SNAKE_CASE   (   self      :				Optional[int]			,			lowerCAmelCase_      :				Node		)		->    None:
				if self.head is None:
							UpperCAmelCase_  :				Optional[int]      =      node
							UpperCAmelCase_  :				Union[str, Any]      =      node
				else:
							self.insert_before_node(self.head			,			lowerCAmelCase_		)





	def   _SCREAMING_SNAKE_CASE   (   self      :				Tuple			,			lowerCAmelCase_      :				Node		)		->    None:
				if self.head is None:
							self.set_head(lowerCAmelCase_		)
				else:
							self.insert_after_node(self.tail			,			lowerCAmelCase_		)





	def   _SCREAMING_SNAKE_CASE   (   self      :				int			,			lowerCAmelCase_      :				int		)		->    None:
				UpperCAmelCase_  :				Optional[Any]      =      Node(lowerCAmelCase_		)
				if self.head is None:
							self.set_head(lowerCAmelCase_		)
				else:
							self.set_tail(lowerCAmelCase_		)





	def   _SCREAMING_SNAKE_CASE   (   self      :				List[Any]			,			lowerCAmelCase_      :				Node			,			lowerCAmelCase_      :				Node		)		->    None:
				UpperCAmelCase_  :				Any      =      node
				UpperCAmelCase_  :				Tuple      =      node.previous

				if node.get_previous() is None:
							UpperCAmelCase_  :				List[Any]      =      node_to_insert
				else:
							UpperCAmelCase_  :				Dict      =      node_to_insert

				UpperCAmelCase_  :				Dict      =      node_to_insert





	def   _SCREAMING_SNAKE_CASE   (   self      :				Optional[int]			,			lowerCAmelCase_      :				Node			,			lowerCAmelCase_      :				Node		)		->    None:
				UpperCAmelCase_  :				Dict      =      node
				UpperCAmelCase_  :				int      =      node.next

				if node.get_next() is None:
							UpperCAmelCase_  :				int      =      node_to_insert
				else:
							UpperCAmelCase_  :				Optional[Any]      =      node_to_insert

				UpperCAmelCase_  :				Any      =      node_to_insert





	def   _SCREAMING_SNAKE_CASE   (   self      :				Tuple			,			lowerCAmelCase_      :				int			,			lowerCAmelCase_      :				int		)		->    None:
				UpperCAmelCase_  :				int      =      1
				UpperCAmelCase_  :				List[str]      =      Node(lowerCAmelCase_		)
				UpperCAmelCase_  :				Optional[Any]      =      self.head
				while node:
							if current_position == position:
										self.insert_before_node(lowerCAmelCase_			,			lowerCAmelCase_		)
										return
							current_position += 1
							UpperCAmelCase_  :				Optional[Any]      =      node.next
				self.insert_after_node(self.tail			,			lowerCAmelCase_		)





	def   _SCREAMING_SNAKE_CASE   (   self      :				Optional[Any]			,			lowerCAmelCase_      :				int		)		->    Node:
				UpperCAmelCase_  :				List[Any]      =      self.head
				while node:
							if node.get_data() == item:
										return node
							UpperCAmelCase_  :				Optional[int]      =      node.get_next()
				raise Exception("Node not found"		)





	def   _SCREAMING_SNAKE_CASE   (   self      :				str			,			lowerCAmelCase_      :				List[str]		)		->    Union[str, Any]:
				if (node := self.get_node(lowerCAmelCase_		)) is not None:
							if node == self.head:
										UpperCAmelCase_  :				Tuple      =      self.head.get_next()

							if node == self.tail:
										UpperCAmelCase_  :				Optional[int]      =      self.tail.get_previous()

							self.remove_node_pointers(lowerCAmelCase_		)





	@staticmethod
	def   _SCREAMING_SNAKE_CASE   (   lowerCAmelCase_      :				Node		)		->    None:
				if node.get_next():
							UpperCAmelCase_  :				int      =      node.previous

				if node.get_previous():
							UpperCAmelCase_  :				Optional[Any]      =      node.next

				UpperCAmelCase_  :				Optional[int]      =      None
				UpperCAmelCase_  :				Dict      =      None





	def   _SCREAMING_SNAKE_CASE   (   self      :				Union[str, Any]		)		->    str:
				return self.head is None





def        snake_case   (     ):
			pass


if __name__ == "__main__":
			import doctest

			doctest.testmod()



