




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

   lowercase__				:      int	   = True
except ImportError:
   lowercase__				:      str	   = False

lowercase__				:      List[str]	   = logging.get_logger(__name__)  # pylint: disable=invalid-name

def  SCREAMING_SNAKE_CASE							(       __UpperCamelCase)      ->					Dict:
     return AddNewModelCommand(args.testing		, args.testing_file		, path=args.path)





class       a__	( UpperCamelCase__				):







     @staticmethod
     def       lowerCAmelCase_    (     A			)  ->   str:



          '''simple docstring'''



          a     =				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  ,		A  ,		A  ,		A=None  ,		*A			)  ->   List[Any]:



          '''simple docstring'''



          a     =				testing
          a     =				testing_file
          a     =				path







     def       lowerCAmelCase_    (     self			)  ->   Optional[int]:



          '''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     =				[directory for directory in os.listdir() if "cookiecutter-template-" == directory[:22]]
          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     =				(
              Path(A			).parent.parent.parent.parent if self._path is None else Path(self._path			).parent.parent
          )
          a     =				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     =				json.load(A			)

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

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

          # Retrieve configuration
          with open(directory + "/configuration.json"  ,		"r"			) as configuration_file:
               a     =				json.load(A			)

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

          a     =				"PyTorch" in generate_tensorflow_pytorch_and_flax
          a     =				"TensorFlow" in generate_tensorflow_pytorch_and_flax
          a     =				"Flax" in generate_tensorflow_pytorch_and_flax

          a     =				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(A			):
               with open(A  ,		"r"			) as f:
                    a     =				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(A  ,		A  ,		A			):
               # Create temp file
               a  ,				a     =				mkstemp()
               a     =				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     =				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(A			):
               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(A			):
               with open(A			) as datafile:
                    a     =				[]
                    a     =				False
                    a     =				False
                    for line in datafile:
                         if "# To replace in: " in line and "##" not in line:
                              a     =				line.split("\""			)[1]
                              a     =				skip_units(A			)
                         elif "# Below: " in line and "##" not in line:
                              a     =				line.split("\""			)[1]
                              a     =				skip_units(A			)
                         elif "# End." in line and "##" not in line:
                              if not skip_file and not skip_snippet:
                                   replace(A  ,		A  ,		A			)

                              a     =				[]
                         elif "# Replace with" in line and "##" not in line:
                              a     =				[]
                         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 __future__ import annotations

def  SCREAMING_SNAKE_CASE							(       __UpperCamelCase)      ->					list[int]:
     a     =				2
     a     =				[]
     while i * i <= n:
          if n % i:
               i += 1
          else:
               n //= i
               factors.append(__UpperCamelCase)
     if n > 1:
          factors.append(__UpperCamelCase)
     return factors


if __name__ == "__main__":
   import doctest

   doctest.testmod()

