"""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

     SCREAMING_SNAKE_CASE__      						=  True
except ImportError:
     SCREAMING_SNAKE_CASE__      						=  False

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





def    lowerCAmelCase__    (			_UpperCamelCase       :				Optional[int]					)					->				List[Any]:





      """simple docstring"""






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



class   lowerCAmelCase_    (			__UpperCAmelCase					):



    """simple docstring"""

    @staticmethod
    def 		snake_case (				lowerCAmelCase    ):






          """simple docstring"""

          snake_case								=			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=__SCREAMING_SNAKE_CASE		,    help='Configuration file on which to run.'    )
          add_new_model_parser.add_argument(
              '--path'		,    type=__SCREAMING_SNAKE_CASE		,    help='Path to cookiecutter. Should only be used for testing purposes.'    )
          add_new_model_parser.set_defaults(func=__SCREAMING_SNAKE_CASE    )

    def __init__(				self		,    lowerCAmelCase		,    lowerCAmelCase		,    lowerCAmelCase=None		,    *lowerCAmelCase    ):






          """simple docstring"""

          snake_case								=			testing
          snake_case								=			testing_file
          snake_case								=			path

    def 		snake_case (				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
          snake_case								=			[directory for directory in os.listdir() if 'cookiecutter-template-' == directory[:22]]
          if len(__SCREAMING_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.'    )

          snake_case								=			(
              Path(__SCREAMING_SNAKE_CASE    ).parent.parent.parent.parent if self._path is None else Path(self._path    ).parent.parent
          )
          snake_case								=			path_to_transformer_root / 'templates' / 'adding_a_new_model'

          # Execute cookiecutter
          if not self._testing:
                cookiecutter(str(__SCREAMING_SNAKE_CASE    )    )
          else:
                with open(self._testing_file		,    'r'    ) as configuration_file:
                      snake_case								=			json.load(__SCREAMING_SNAKE_CASE    )

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

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

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

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

          snake_case								=			'PyTorch' in generate_tensorflow_pytorch_and_flax
          snake_case								=			'TensorFlow' in generate_tensorflow_pytorch_and_flax
          snake_case								=			'Flax' in generate_tensorflow_pytorch_and_flax

          snake_case								=			F"""{path_to_transformer_root}/src/transformers/models/{lowercase_model_name}"""
          os.makedirs(__SCREAMING_SNAKE_CASE		,    exist_ok=__SCREAMING_SNAKE_CASE    )
          os.makedirs(F"""{path_to_transformer_root}/tests/models/{lowercase_model_name}"""		,    exist_ok=__SCREAMING_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(lowerCAmelCase    ):
                with open(__SCREAMING_SNAKE_CASE		,    'r'    ) as f:
                      snake_case								=			f.readlines()
                with open(__SCREAMING_SNAKE_CASE		,    'w'    ) as f:
                      for line in lines:
                            if "# Copied from transformers." not in line:
                                  f.write(__SCREAMING_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(lowerCAmelCase		,    lowerCAmelCase		,    lowerCAmelCase    ):
                # Create temp file
                snake_case					,snake_case								=			mkstemp()
                snake_case								=			False
                with fdopen(__SCREAMING_SNAKE_CASE		,    'w'    ) as new_file:
                      with open(__SCREAMING_SNAKE_CASE    ) as old_file:
                            for line in old_file:
                                  new_file.write(__SCREAMING_SNAKE_CASE    )
                                  if line_to_copy_below in line:
                                        snake_case								=			True
                                        for line_to_copy in lines_to_copy:
                                              new_file.write(__SCREAMING_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(__SCREAMING_SNAKE_CASE		,    __SCREAMING_SNAKE_CASE    )
                # Remove original file
                remove(__SCREAMING_SNAKE_CASE    )
                # Move new file
                move(__SCREAMING_SNAKE_CASE		,    __SCREAMING_SNAKE_CASE    )

          def skip_units(lowerCAmelCase    ):
                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    ):
                with open(__SCREAMING_SNAKE_CASE    ) as datafile:
                      snake_case								=			[]
                      snake_case								=			False
                      snake_case								=			False
                      for line in datafile:
                            if "# To replace in: " in line and "##" not in line:
                                  snake_case								=			line.split('"'    )[1]
                                  snake_case								=			skip_units(__SCREAMING_SNAKE_CASE    )
                            elif "# Below: " in line and "##" not in line:
                                  snake_case								=			line.split('"'    )[1]
                                  snake_case								=			skip_units(__SCREAMING_SNAKE_CASE    )
                            elif "# End." in line and "##" not in line:
                                  if not skip_file and not skip_snippet:
                                        replace(__SCREAMING_SNAKE_CASE		,    __SCREAMING_SNAKE_CASE		,    __SCREAMING_SNAKE_CASE    )

                                  snake_case								=			[]
                            elif "# Replace with" in line and "##" not in line:
                                  snake_case								=			[]
                            elif "##" not in line:
                                  lines_to_copy.append(__SCREAMING_SNAKE_CASE    )

                remove(__SCREAMING_SNAKE_CASE    )

          replace_in_files(F"""{directory}/to_replace_{lowercase_model_name}.py"""    )
          os.rmdir(__SCREAMING_SNAKE_CASE    )



"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging


SCREAMING_SNAKE_CASE__      						=  logging.get_logger(__name__)

SCREAMING_SNAKE_CASE__      						=  {
    "weiweishi/roc-bert-base-zh": "https://huggingface.co/weiweishi/roc-bert-base-zh/resolve/main/config.json",
}



class   lowerCAmelCase_    (			lowerCAmelCase					):



				"""simple docstring"""
				_lowerCAmelCase     :    Dict			  =						"""roc_bert"""

				def __init__(				self		,    lowerCAmelCase=3_05_22		,    lowerCAmelCase=7_68		,    lowerCAmelCase=12		,    lowerCAmelCase=12		,    lowerCAmelCase=30_72		,    lowerCAmelCase="gelu"		,    lowerCAmelCase=0.1		,    lowerCAmelCase=0.1		,    lowerCAmelCase=5_12		,    lowerCAmelCase=2		,    lowerCAmelCase=0.02		,    lowerCAmelCase=1E-12		,    lowerCAmelCase=True		,    lowerCAmelCase=0		,    lowerCAmelCase="absolute"		,    lowerCAmelCase=None		,    lowerCAmelCase=True		,    lowerCAmelCase=True		,    lowerCAmelCase=7_68		,    lowerCAmelCase=9_10		,    lowerCAmelCase=5_12		,    lowerCAmelCase=2_48_58		,    lowerCAmelCase=True		,    **lowerCAmelCase		,    ):






										"""simple docstring"""

										snake_case								=			vocab_size
										snake_case								=			max_position_embeddings
										snake_case								=			hidden_size
										snake_case								=			num_hidden_layers
										snake_case								=			num_attention_heads
										snake_case								=			intermediate_size
										snake_case								=			hidden_act
										snake_case								=			hidden_dropout_prob
										snake_case								=			attention_probs_dropout_prob
										snake_case								=			initializer_range
										snake_case								=			type_vocab_size
										snake_case								=			layer_norm_eps
										snake_case								=			use_cache
										snake_case								=			enable_pronunciation
										snake_case								=			enable_shape
										snake_case								=			pronunciation_embed_dim
										snake_case								=			pronunciation_vocab_size
										snake_case								=			shape_embed_dim
										snake_case								=			shape_vocab_size
										snake_case								=			concat_input
										snake_case								=			position_embedding_type
										snake_case								=			classifier_dropout
										super().__init__(pad_token_id=lowerCAmelCase		,    **lowerCAmelCase    )


