
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					:			str			      =		True
except ImportError:
 __lowerCAmelCase					:			Optional[Any]			      =		False

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


def     UpperCAmelCase_  (						__lowerCAmelCase	) ->						List[Any]:
    return AddNewModelCommand(args.testing	,					args.testing_file	,					path=args.path	)





class 						__lowerCAmelCase	(	lowerCAmelCase_      ):



      """simple docstring"""







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




      def __init__(      self		:       Dict				,       _snake_case		:       bool				,       _snake_case		:       str				,       _snake_case		:       Tuple=None				,       *_snake_case		:       List[Any]				):
          __lowercase		:			str	    =       testing
          __lowercase		:			Optional[Any]	    =       testing_file
          __lowercase		:			Union[str, Any]	    =       path




      def 		snake_case_			(      self		:       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		:			List[Any]	    =       [directory for directory in os.listdir() if '''cookiecutter-template-''' == directory[:22]]
          if len(_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		:			Any	    =       (
              Path(_snake_case				).parent.parent.parent.parent if self._path is None else Path(self._path				).parent.parent
          )
          __lowercase		:			str	    =       path_to_transformer_root / '''templates''' / '''adding_a_new_model'''

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

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

          __lowercase		:			str	    =       [directory for directory in os.listdir() if '''cookiecutter-template-''' in directory[:22]][0]

          # Retrieve configuration
          with open(directory + '''/configuration.json'''				,       '''r'''				) as configuration_file:
              __lowercase		:			List[Any]	    =       json.load(_snake_case				)

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

          __lowercase		:			int	    =       '''PyTorch''' in generate_tensorflow_pytorch_and_flax
          __lowercase		:			List[str]	    =       '''TensorFlow''' in generate_tensorflow_pytorch_and_flax
          __lowercase		:			List[Any]	    =       '''Flax''' in generate_tensorflow_pytorch_and_flax

          __lowercase		:			Optional[int]	    =       F'{path_to_transformer_root}/src/transformers/models/{lowercase_model_name}'
          os.makedirs(_snake_case				,       exist_ok=_snake_case				)
          os.makedirs(F'{path_to_transformer_root}/tests/models/{lowercase_model_name}'				,       exist_ok=_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(_snake_case		:       Union[str, Any]				):
              with open(_snake_case				,       '''r'''				) as f:
                  __lowercase		:			Any	    =       f.readlines()
              with open(_snake_case				,       '''w'''				) as f:
                  for line in lines:
                      if "# Copied from transformers." not in line:
                          f.write(_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(_snake_case		:       str				,       _snake_case		:       str				,       _snake_case		:       List[str]				):
              # Create temp file
              __lowercase    ,      __lowercase		:			Optional[Any]	    =       mkstemp()
              __lowercase		:			str	    =       False
              with fdopen(_snake_case				,       '''w'''				) as new_file:
                  with open(_snake_case				) as old_file:
                      for line in old_file:
                          new_file.write(_snake_case				)
                          if line_to_copy_below in line:
                              __lowercase		:			Dict	    =       True
                              for line_to_copy in lines_to_copy:
                                  new_file.write(_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(_snake_case				,       _snake_case				)
              # Remove original file
              remove(_snake_case				)
              # Move new file
              move(_snake_case				,       _snake_case				)

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

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

              remove(_snake_case				)

          replace_in_files(F'{directory}/to_replace_{lowercase_model_name}.py'				)
          os.rmdir(_snake_case				)




from __future__ import annotations


def     UpperCAmelCase_  (						__lowerCAmelCase	) ->						int:
    if not nums:
        return 0
    __lowercase		:			List[Any]	    =       nums[0]
    __lowercase		:			Union[str, Any]	    =       0
    for num in nums[1:]:
        __lowercase    ,      __lowercase		:			Dict	    =       (
            max_excluding + num,
            max(__lowerCAmelCase	,					__lowerCAmelCase	),
        )
    return max(__lowerCAmelCase	,					__lowerCAmelCase	)


if __name__ == "__main__":
 import doctest

 doctest.testmod()


